Summer Internship Projects 2024-25
Each year our faculty members invest their time, effort & innovation in some great real-time projects.The projects are listed below. A student can apply for a max of 03 projects. Registration started from 1st March 2024. The last date to apply was 31st March 2024. The results was declared on the website on 15th April 2024 & the internship commenced from 6th May 2024.
Process to apply for internship
- The details of the project openings are listed below.
- Click Here to Apply. (Closed Now)
- Login with your google account
- Fill the registration form. If you want hostel select the checkbox accordingly.
- For hostel booking details please click here
- To apply for any project just click the apply button
- Done
Students who get selected for the summer internship at IIIT-Delhi will be receiving a stipend of 5k per month
Summer Internship Projects 2024 at IIIT-Delhi
| S.No. | Faculty Name | Project Name | Project Detail | Duration | Status |
|---|---|---|---|---|---|
| 1 | Anmol Srivastava | UX/UI for an IOT enabled Smart Controller Design of a Mobile App | Design of a mobile app for an IoT enabled Smart Controller Unit for water management. It is an IoT-enabled product with intelligent sensing capabilities. We are looking for expertise in UI/UX Design. Skills Required: Figma, Photoshop, Illustrator, UX Research, Motion Design (optional) | 2 Months | Physical |
| 2 | Anmol Srivastava | AR for Sanskrit Learning | The project aims to develop an augmented reality (AR) application for learning the Sanskrit language. By integrating AR technology, the application will provide immersive and interactive experiences, allowing users to visualize and interact with Sanskrit words, phrases, and grammar in a real-world context. This innovative approach aims to enhance the learning process, making it more engaging and effective for users of all ages. 1) We are looking for candidates with Strong programming and App development skills (Unity, C#) and experience with AR/VR. The candidate should be able to convert Figma prototype into working application 2) A candidate with strong UI/UX Skills and Research Skills. Proficient in Figma, Visual Communication, UX Research. The role will also include conducting literature survey and translating research insights into Figma prototype. |
3 Months | Physical |
| 3 | Sonal Keshwani | Developing a repository for Bio-inspired patents | Bioinspired design related application. This project requires students from Science background. Have knowledge of biological domain will be an added advantage. | 3 Months | Physical |
| 4 | Praveen Priyadarshi | Governance of Artificial Intelligence in India | A study of the social and policy implications of AI in the Indian context and the rules that underpin the governance of these systems. | 2 Months | Physical |
| 5 | Praveen Priyadarshi | Making of urban public spaces | The research explores the relationship between urban public spaces and citizenship practices and democratic dispositions. | 2 Months | Physical |
| 6 | Rajiv Ratn Shah | LLM based Applications | We will be working on several projects related to LLMs. | 2 Months | Physical |
| 7 | Ratan Suri | Cognitive architecture for mental health of mental health care workers | This is a cognitive and psychology based project. | 3 Months | Physical |
| 8 | Shamik Sarkar | Machine Learning for Wireless Networks | The intern will investigate applications of deep learning in research related to wireless networks. The intern must have experience with Keras/Tensorflow. | 3 Months | Physical |
| 9 | Vinayak Abrol | Generative Speech AI | Open problems in generative AI for Speech/Audio applications such as ASR, TTS, S2S, SpeakerID etc. Experience with deep learning libraries is a must. Prior experience processing speech/audio signals is preferable but not mandatory. | 2-3 Months | Physical |
| 10 | Vinish Kathuria | Generative AI driven game for parents and grandparents | Design and create an exciting yet simple to use game for parents and grandparents leveraging multiple capabilities of Generative AI - language, vision, music | 2-3 Months | Physical |
| 11 | Vinish Kathuria | Generative AI - Game for Classroom Teaching | Design & create an exciting game for teaching students. Research, design and leverage multiple capabilities of Generative AI - language, images, music etc | 2-3 Months | Physical |
| 12 | Vivek Ashok Bohara | LiFi testbed | The student is expected to work on our in-house developed Li-Fi testbed | 3 Months | Physical |
| 13 | Vivek Ashok Bohara | Technologies for 5G and 6G wireless standards | The student is expected to work on technologies for next generation of wireless communication such as intelligent meta-surfaces, next generation multiple access etc. | 3 Months | Virtual |
Summer Internship Projects 2023-24
Each year our faculty members invest their time, effort & innovation in some great real-time projects.The projects are listed below. A student can apply for a max of 03 projects.
Registration will start from 1st March 2023. The last date to apply is 31st March 2023. The results will be up on the website by 15th 21st April 2023 & the internship will commence from 6th May 2023.
Process to apply for internship
- The details of the project openings are listed below.
- Click Here to Apply. (Closed Now)
- Login with your google account
- Fill the registration form. If you want hostel select the checkbox accordingly.
- For hostel booking details please click here
- To apply for any project just click the apply button
- Done
Students who get selected for the summer internship at IIIT-Delhi will be receiving a stipend of 5k per month
Summer Internship Projects 2023 at IIIT-Delhi
| S.No. | Faculty Name | Project Name | Project Detail | Duration | Status |
|---|---|---|---|---|---|
| 1 | Anubha Gupta | Benchmarking DL models for medical image segmentation | In this project, we will identify 5 datasets of medical imaging, identify 10 most recent DL state-of-the-art models, implement and benchmark these for object detection and segmentation. | 3 Months | Physical |
| 2 | Anubha Gupta | Benchmarking Self-supervised classification models for tabular data | In this project, we will work with multiple datasets ( tabular medical and non-medical datasets) and benchmark self-supervised models as well as clustering models for unsupervised classification. | 3 Months | Physical |
| 3 | Anubha Gupta | Benchmarking of Out-of-Distribution Detection DL methods | In this project, we will identify the recent state-of-the-art DL methods of OOD detection and benchmark their performance on 3-4 medical and non-medical datasets. | 3 Months | Physical |
| 4 | Anuj Grover | Semiconductors & Environment | Course Material Creation on "Semiconductors and Environment" | 10 Weeks | Virtual |
| 5 | Arjun Ray | Elucidating the druggable chemical landscape for lipid pathway using structural biology, genomic and ML approaches” | Utilizing pharmacogenomic approach, the project shall revolve around utilizing drug repurposing for genes that shall be reflective of population variations in lipid biosynthesis pathway. The project shall involve protein structure modeling, virtual screening and ML techniques. | 6 Months | Physical |
| 6 | Bapi Chatterjee | Distributed and Federated Learning | To implement and working on a scalable Distributed/Federated Learning Framework | 2 to 3 Months | Physical |
| 7 | Debarka Sengupta | Pseudo-time trajectory analysis of evolving cellular DNA | We will build stochastic methods to model how cellular DNA undergo alterations. | 3 Months | Physical |
| 8 | Dr. Saket Anand, Dr. Sanjit Kaul, Dr. Manuj Mukherjee | Understanding autoencoders - Can they mimic speakers? | Autoencoders are a pair of neural networks, commonly referred to as the encoder and decoder, which work as follows. The encoder takes a data sample,
such as a speech sample, and encodes it to its latent space representation. The decoder takes the latent space representation and it reconstructs an
estimate of the data sample. A recent work has shown evidence for the conjecture that autoencoders can mimic speakers. In more detail, an autoencoder is initially trained using voice samples from a single speaker. Next, the autoencoder is fed test samples from other speakers, and it was shown experimentally that the decoder is able to reconstruct the exact speech, but in the voice of the speaker from the training samples. We hypothesize that the encoder neural network is somehow capturing the semantic characteristics, i.e., the contents of the speech, in the latent space representation, while the decoder neural network is able to add the speaker characteristics to the latent space representation during the reconstruction. In this project, the student is expected to test out this hypothesis by designing the necessary experiments. If convincing evidence is found to support this hypothesis, the next goal will be to develop some theoretical understanding of the functioning of autoencoders using the insights gained from the experiments. Necessary qualification: The student should be well versed in training neural networks using python. In addition, basic mathematical maturity, including some familiarity with probability and linear algebra, is also required. |
2 Months | Physical |
| 9 | Manohar Kumar | Trustworthy and Explainable AI, Public Interest | There are two projects. In one the intern will be working on broad areas of Ethics of AI and in another in Political Philosophy on questions of public interest | 2 Months | Physical |
| 10 | Ojaswa Sharma | AI-based detail enhancement of 3D medical imaging data | This project will explore and investigate AI based approaches to enhance details in 3D medical imaging data such as CT and MRI. | 3 Months | Physical |
| 11 | Ojaswa Sharma | AI-based segmentation of 3D medical imaging data | This project is about designing a segmentation neural network for MRI and CT medical volumes. We will utilise a high quality ground truth data for fine tuning the network to achieve high accuracy. | 3 Months | Physical |
| 12 | Piyus Kedia | Tools for automated reasoning | This project aims to build tools to help students learn the internals of SAT and SMT solvers. | 2 Months | Physical |
| 13 | praveen priyadarshi | Urban Public Spaces Post Liberalisation: A Study of Delhi-NCR | The objective of this research is to explore and understand the nature of urban public spaces in contemporary Delhi-NCR. The project is premised on the idea that the nature of ‘publicness’ is a constitutive element of the ways in which urban politics functions on an everyday basis. |
2 Months | Physical |
| 14 | Ranjitha Prasad | Unsupervised federated learning and anomaly detection | Federated learning (FL) is proving to be one of the most promising paradigms for leveraging distributed resources for collaborative training of a machine learning model, while protecting the privacy of individuals' data. To leverage the enormous unlabeled data on distributed edge devices, we aim to use the FL paradigm in unsupervised tasks, and in particular, we address the problem of anomaly detection in decentralized settings. | 2 Months | Physical |
| 15 | Richa Gupta | Accessible space design with AR for visual and hearing impaired | Several public spaces can be made more accessible and convenient to use for persons with visual and hearing impairments with location based AR tagging. This project will entail field study of spaces such as metro stations and use of AR for improving the accessibility for visual and hearing impaired. | 2 Months | Physical |
| 16 | Rinku Shah | In-network computation using FPGA NICs | This project involves development of network applications using HLS (High level synthesis) programming for FPGAs. The pre-requisites for this project include foundational knowledge in the domain of computer networks and experience with HLS programming for FPGAs. | 2 Months | Physical |
| 17 | Sanat K Biswas | Orbit Computation of Resident Space Objects for Space Situational Awareness | There are more than 20000 man-made objects of more than 10 cm in size floating around in near-earth space which pose collision threats to functional satellites. Predicting collision probability from these space objects is crucial from the national security perspective as well as for the protection of public and private space assets of Indian origin. The outcome of this project will directly support the Indian Space sector (valued at INR 51,334.85 crore) by providing an operationally flexible, scalable, transparent and indigenous collision probability solution. | 2 Months | Physical |
| 18 | Sneh Saurabh | ASIC Design using open-source EDA Tools (Yosys, OpenSTA, OpenRoad) | In this project, ASIC design using open-source EDA tools will be undertaken. The emphasis will not only be on the design but also on understanding the internal mechanics of these tools. The intern will be expected to understand the C++ code of these EDA tools and make some minor modifications to the tool. The required skillsets: 1. C++, data structure, algorithm 2. Working experience in UNIX 3. Digital Circuits (BTech 1st-2nd year level) Desirable: ASIC Design Flow |
2 Months | Physical |
| 19 | Tavpritesh Sethi | How well does AI “understand” genomes? | This project involves exploring and exploiting the features of transformer based AI models for biological and clinical decisions in the real world. | 3 Months | Physical |
| 20 | Vinayak Abrol | Bandwidth extension (BWE) in automatic speech recognition | The aim is to extract features from speech that are informative irrespective of the sampling rate. One could think of using a generative network to upsample the audio. Complex rich DNN models can also be explored. Here, we are recovering missing frequency content- Bandwidth Extension in Audio. Alternatively, one can explore employing some sort of attention mechanism to directly extract informative features Or a mix of both approaches. ---------------------------------- Setup: Ideally we want to implement this in a ASR pipeline using NVIDIA Reva platform. Some of the attention based ideas might come from Computer Vision domain. And of course there will be concepts from DSP and Speech processing. |
8 Weeks | Physical |
| 21 | Vivek Bohara | Intelligent reflctive surfaces for Satellite communication for 6G cellular applications | The students would be doing literature survey on existing communication technologies for satellite communication. Further, they would be investigating on how deployment of intelligent reflective surfaces may improve the performance of existing technologies. | 3 Months | Physical |
| 22 | Vivek Kumar | Parallel Execution of Quantum Computations | Design and implementation of C++-based parallel constructs to enable parallel execution of a quantum kernel using a header only Quantum computing library (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208073#sec001) |
2 Months | Physical |
| 23 | Vivek Kumar and Sanat K Biswas | C++-based Parallelization of Orbit Computation of Resident Space Objects for Space Situational Awareness | Parallelizing orbit computation of resident space objects for space situational awareness on multicore processors using C++ based task parallel programming model. Relevant background: a) https://ssl.iiitd.edu.in/project/space-situational-awareness/, and b) https://github.com/habanero-rice/hclib/blob/master/tutorial/hipc18/presentation/hipc2018_slides.pdf | 2 Months | Physical |
| 24 | Vivek Kumar and Sumit Darak | Dynamic Task Parallelism on FPGAs | Implementing a work-stealing load balancing runtime for FPGAs. A paper describing on such implementation: Here | 2 Months | Physical |
| 25 | Pankaj Jalote | Enveave is an environmental project being developed at IIIT Delhi (Front End Developer) | At Enveave, our purpose is to empower grassroots communities and individuals for environment action. We are developing a one-stop platform for India’s communities to come together and access services, resources and information to be successful in their environmental initiatives. The foundational tech platform for Enveave has been built and we are now in the deployment, implementation and testing phases. Click Here | 3 Months | Physical |
| 26 | Pankaj Jalote | Enveave is an environmental project being developed at IIIT Delhi (Back End Developer) | At Enveave, our purpose is to empower grassroots communities and individuals for environment action. We are developing a one-stop platform for India’s communities to come together and access services, resources and information to be successful in their environmental initiatives. The foundational tech platform for Enveave has been built and we are now in the deployment, implementation and testing phases. Click Here | 3 Months | Physical |
Summer Internship Projects 2022-23
Each year our faculty members invest their time, effort & innovation in some great real-time projects.The projects are listed below. A student can apply for a max of 03 projects.
The last date to apply is 31st March 2022 30th April 2022. The results will be up on the website by 15th April 2022 & the internship will commence from 6th May 2022.
Process to apply for internship
- The details of the project openings are listed below.
- Click Here to Apply.
- Login with your google account
- Fill the registration form. If you want hostel select the checkbox accordingly.
- For hostel booking details please click here
- To apply for any project just click the apply button
- Done
Students who get selected for the summer internship at IIIT-Delhi will be receiving a stipend of 5k per month
Summer Internship Projects 2022 at IIIT-Delhi
| S.No. | Faculty Name | Project Name | Project Detail | Duration | Status |
|---|---|---|---|---|---|
| 1 | Pankaj Jalote | Research Mentoring Platform | The goal of this project is to provide a platform to connect research mentors (faculty and industry researchers) with students involved in research to guide and support them in their research projects. The platform will also provide mentorship to faculty from colleges/universities etc. in their research endeavours. The goal of the platform is to provide research mentoring to: PhD students and faculty on their research M. Tech. and B. Tech. students in their research thesis/project. Detailed JD |
3 Months | Closed |
| S.No. | Faculty Name | Project Name | Project Detail | Duration | Status |
|---|---|---|---|---|---|
| 1 | Pankaj Jalote | Enveave - Backend Developer (Intern) | Live experience of building products in the climate change sector. We promote a decentralised work culture which means that you’ll have sufficient freedom to take initiatives, test new ideas, break stuff and build new things. You see a need – build it, see something broken - solve it. We are a cross-functioning tech team and work across different competencies, collaboratively. You can take initiatives in addition to your core work and based on your interests to explore work in strategy, operations, marketing, or other tech platforms. Access to experienced peers. Our teams are led and mentored by people who have spent years in several industries. You’ll get direct access to their mentorship and learn from their experiences. Detailed JD | 3 Months | Closed |
| 2 | Pankaj Jalote | Enveave - Frontend Developer (Intern) | Live experience of building products in the climate change sector. We promote a decentralised work culture which means that you’ll have sufficient freedom to take initiatives, test new ideas, break stuff and build new things. You see a need – build it, see something broken - solve it. We are a cross-functioning tech team and work across different competencies, collaboratively. You can take initiatives in addition to your core work and based on your interests to explore work in strategy, operations, marketing, or other tech platforms. Access to experienced peers. Our teams are led and mentored by people who have spent years in several industries. You’ll get direct access to their mentorship and learn from their experiences. Detailed JD | 3 Months | Closed |
| S.No. | Faculty Name | Project Name | Project Detail | Duration | Status |
|---|---|---|---|---|---|
| 1 | Aasim Khan | Knowledge and Data in Election Analysis | Requires skills for using Google Analytics and modelling tools and work with a leading election think tank to understand gaps in knowledge about election models. | 3 Months | Closed |
| 2 | Anuj Grover | Improving Last Mile connectivity from public transport | We wish to reduce the cost of GPS module so that it becomes affordable for rickshaws and autos and we can then connect them to online platforms for ease of booking and improved user experience. | 3 Months | Closed |
| 3 | Anuj Grover | Video Editing | Design a simple interface where videos can be cut at given time-stamps and merged in desired order to create new videos. | 3 Months | Closed |
| 4 | Debajyoti Bera | Web-portal for managing research projects | IIIT-Delhi uses a Node.js server for managing internal research projects. The project will involve enhancing the functionality of this server. The student will be working on both front-end and back-end development using Node.js, CSS, Javascript, MySQL. | 2 Months | Closed |
| 5 | Debajyoti Bera | Evaluating state preparation algorithms for quantum circuits | The project will involve reading research papers on quantum state preparation, implementing them and evaluating them to identify which algorithms are most suitable for which kind of states. The focus will be on practically efficient algorithms that perform the best on NISQ devices. | 2 Months | Closed |
| 6 | Debarka Sengupta | Random walk on cancer PPIN | We will integrate large volume of mutation data and locate them on PPI interfaces. Further we will try to perform evolutionary modeling while accounting for impact of the fraction of deliterious mutations. | 3 Months | Closed |
| 7 | Vivek Bohara | Performance evaluation of optical intelligent Reflective surfaces for 6G cellular standards | The project will involve studing and investigating the tradeoffs for optical intelligent Reflective surfaces for 6G cellular standards. This project will require good mathematical and simulation (Matlab) skills. | 3 Months | Closed |
| 8 | Ganesh Bagler | Artificial Intelligence Driven Computational Gastronomy Framework | Cooking forms the core of our cultural identity other than being the basis of nutrition and health. The increasing availability of culinary data and the advent of computational methods for their scrutiny are dramatically changing the artistic outlook towards gastronomy. Starting with a seemingly simple question, ‘Why do we eat what we eat?’, data-driven research conducted in our lab has led to interesting explorations of traditional recipes, their flavor composition, and health associations. Our investigations have revealed ‘culinary fingerprints’ of regional cuisines across the world. Application of data-driven strategies for investigating the gastronomic data has opened up exciting avenues, giving rise to an all-new field of ‘computational gastronomy’. This emerging interdisciplinary science asks questions of culinary origin to seek their answers via the compilation of culinary data and their analysis using methods of complex systems, statistics, computer science, and artificial intelligence. Along with complementary experimental studies, these endeavors have the potential to transform the food landscape by effectively leveraging data-driven food innovations for better health and nutrition. Complex Systems Laboratory: https://cosylab.iiitd.edu.in Computational Gastronomy is a data science which blends food with data and the power of artificial intelligence. We have an ambitious goal of creating a "Computational Gastronomy Framework" around the following themes and expertise. THEMATIC AREAS/EXPERTISE: Artificial Intelligence, Machine Learning, Deep Learning, API Development, Database/Webserver Development, Natural Language Processing, Android/iOS App Development, Novel Recipes Generation, Ayurveda Informatics, Taste/Odor Prediction, Image Processing, Food Pairing Analysis, Carbon/Water Footprinting Calculations, Food Allergens, Food & Music, and Computational Creativity. | 2-3 Months | Closed |
| 9 | Koteswar Rao Jerripothula | Saliency Detection in Multi-object Images | There are several studies on saliency detection in single-object images, but there is very limited work done on multi-object images. This project involves developing a relevant dataset and an appropriate algorithm for the same. | 2 Months | Closed |
| 10 | Koteswar Rao Jerripothula | Object Detection in Sculptural Arts | Our temples are filled with sculptures, both inside and outside. If they can be automatically identified, a lot of information can be retrieved from internet, helping in educating about our culture. This project involves developing a relevant dataset and an algorithm for the same. | 2 Months | Closed |
| 11 | Mrinmoy Chakrabarty | Brain correlates of affective states in autism | Autism spectrum disorder (ASD) presents with a range of issues, e.g. decreased social-emotional reciprocity and non-verbal communication in social interactions; stereotyped repetitive movements, narrow spectrum of interests of unusual intensity and focus as well as sensory dysregulation (hyper/hyposensitivity to sensory inputs), which together manifest as different degrees of clinical severity. A school of thought proposes that the precipitation of one or more of these manifestations could be linked with internal affective/emotional states of the individuals with ASD and there is recent evidence in support of this thought (Chakrabarty M., et. al. European Journal of Neuroscience 2021). In this backdrop the incompletely understood brain bases of these affective states merit further investigation, which this internship seeks to address to a measurable extent. | 2 Months | Closed |
| 12 | Piyus Kedia | Address sanitizers for the Linux Kernel | The goal of this project is to measure the overheads of the address sanitizers for the Linux kernel. | 2 Months | Closed |
| 13 | Ranjitha Prasad | Bayesian Methods for Explainable AI | In this project, students will explore methods for post-hoc explainable AI for image and tabular datasets. | 2 Months | Closed |
| 14 | Saket Anand | Autonomous Last Mile Vehicle | Working towards an autonomous campus shuttle. The tasks involved will require development and testing of various different modules of the autonomous
driving solution. This would include development and testing of: 1. Perception algorithms (using cameras and LIDARs) 2. Planning and Control algorithms (using simulation as well as real vehicular platforms) 3. Integrated system (Perception and Planning combined). |
2-3 Months | Closed |
| 15 | Smriti Singh | Caste, Gender and Urban Space | The project would require extensive referencing work, collecting articles, archives, making a bibliography and putting together synopsis of papers. | 2 Months | Closed |
| 16 | Sneha Chaubey | Sieve methods in number theory | Sieve method originates from an algorithm for finding all primes. The earliest known Sieve method is the Sieve of Eratosthenes which utilizes the fact that a natural number is prime if and only if it is not divisible by any prime smaller than itself. Modern Sieve methods originated with Brun around 1920. He used a new Sieve to obtain several important number-theoretic results, notably an estimate of the density of twin primes. This project involves reading and understanding these methods and applying them in different number-theoretic problems. | 2 Months | Closed |
| 17 | Subhashree Mohapatra | Approximation of elliptic eigen value problems | Eigenvalue solver for elliptic partial differential equations using spectral element method | 3 Months | Closed |
| 18 | Sumit Darak | Solutions for Remote Hardware Labs for online learning | Explore software and mobile applications for conducting hardware labs remotely in online learning environment | 2-3 Months | Closed |
| 19 | Sumit Darak | Artificial Intelligence Algorithms on System-on-Chip | Design and implement AI algorithms on SoC. Prior knowledge of embedded systems, Verilog or HLS and FPGA is required. | 3 Months | Closed |
| 20 | Sumit Darak | AI/ML for Wireless PHY | Explore various AI/ML algorithms for wireless PHY. Good understanding of AI/ML algorithms and prior experience is desired. | 3 Months | Closed |
| 21 | Swapna Purandare | Developing tools and technology for a sustainable Planet | We are developing novel technological approaches based on UAVs, harmonic radar, network analysis and modeling, computer vision, and machine learning to improve the ecological data collection, processing, and analysis. | 2 Months | Closed |
| 22 | Swapna Purandare | Insect specimen preparation and pinning | This work involves preparing and pinning collected insect specimen and taking pictures using microscope | 2 Months | Closed |
| 23 | Tavpritesh Sethi | Building Real-World Data Science Solutions for COVID-19 | In this project, interns will work on developing algorithms and pipelines to derive insights from massive testing, vaccination, genomics and social media datasets. You will be working in a team and data science approaches developed in our lab will form the basis of further innovation. The algorithms and pipelines will be tested in the real world setting, outcomes of this project will be research publications and real world deployment. | 2 Months | Closed |
| 24 | Vinayak Abrol | (1) Developing novel counter measures for spoofing attacks in speaker verification (SV) system. (2) Bandwidth extension (BWE) in deep acoustic models | (1) The primary aim is to develop robust SV systems by highlighting the vulnerability of audio models. Recently, DNNs have been shown to be extremely brittle under adversarial and malicious attacks using generative models for speech synthesis. Thus, our goal is to develop novel counter measures against such attacks on SV systems, such that a robust front-end detection system can be deployed to compliment the back-end SV system. (2) The aim of BWE is to estimate the missing high frequency information i.e., extend the bandwidth of the signal. It is difficult to simultaneously model narrow-band and wide-band speech. Further there are computational constraints which limits the sampling rate for low latency applications. This project will explore novel approaches for BWE to improve the performance of deep acoustic models. |
2 Months | Closed |
| 25 | Sanjit Kaul & Saket Anand | Networked Autonomous Vehicles | Interns will work on creating an indoor testbed using cameras and Jetson bots. This will require an ability to program with python, work with off-the-shelf hardware like the Jetson bot and NVIDIA Jetson GPUs, WiFi access points and USB WiFi, off-the-shelf cameras, and familiarity with openCV. In addition, interns with exposure to deep learning and preferably even reinforcement learning, will work on learning data driven policies to make the Jetson bots autonomous. The bots will talk to cameras and with each other over WiFi. | 3 - 6 Months. Extensions are possible. | Closed |
| 26 | Vibhor Kumar | Adaptive deep learning for medical image processing | Here we will try to develop web based predictive system for predicting neuro-degenerative and other disorder using image data like ctscan and MRI | 2-3 Months | Closed |
| 27 | Vivek Kumar | Understanding and evaluating a runtime scheduler for user level threads | This project is about understanding the implementation of an open-sourced user level thread scheduler and implementing new scheduling policies | 2 Months | Closed |
| 28 | Vivek Kumar | Designing a lightweight framework for working with processor specific counters / tools | This project is to implement a lightweight daemon to improve the access to hardware performance counters, processor frequency scaling, etc | 2 Months | Closed |
| 29 | Mukulika Maity | Measurement Study of Response Times of Apps in India | In this project, we quantify the Quality of Experience of using the android apps using response time i.e., the time needed to reflect UI changes corresponding to a user's action. This can be, for example, the time needed to reflect an item has been added to the cart for Add product to cart action on Amazon app. In this work, we design a tool called EvalApp which uses automation to record the response times of a total of 30 actions for 12 apps popular in India. We then crowdsource this desktop app to a total of 60 users working from home from across north and central India and perform a causal analysis of the factors that affect the response times of actions. | 3 Months | Closed |
| 30 | Mukulika Maity | Youtube Video Streaming over Google's QUIC | One of the most commonly used transport protocols, developed by Google, QUIC, adapts to such failures by falling back to TCP. In this work, we investigate the fallback behavior of QUIC on Youtube video streaming. In total, we collect over 2600 streaming hours of data over various bandwidth patterns, from 5 different geographical locations and various video genres. To our surprise, we observe that the legacy setup (TCP) either outperforms or performs the same as the QUIC-enabled browser for more than 60% of cases. We are in process of designing solutions to improve QUIC's performance. | 3 Months | Closed |
| 31 | Mukulika Maity | Optimization of Next Generation Wireless Networks | This project aims to improve WiFi performance in dense scenarios like classrooms, conferences, airports, and so on. It aims to utilize next-generation wireless standards WiFi 6/7 to improve performance in dense scenarios through efficient resource management techniques. It also opens the door to a new avenue of application of WiFi in industrial IoT settings, edge node deployments, and so on. | 3 Months | Closed |
Summer Internship Projects 2021-22
The summer internship program 2021. Each year our faculty members invest their time, effort & innovation in some great real-time projects.The projects are listed below. A student can apply for a max of 03 projects. The last date to apply is 31st March 2021. The results will be up on the website by 15th April & the internship will commence from 6th May 2021.
Process to apply for internship
- The details of the project openings are listed below.
- Click on Apply Here (From 24th Feb 2021)
- Login with your google account
- Fill the registration form. If you want hostel select the checkbox accordingly.
- For hostel booking details please click here
- To apply for any project just click the apply button
- Done
- Students who get selected for the summer internship at IIIT-Delhi will be receiving a stipend of 5k per month
Summer Internship Projects 2021-2022 at IIITD
| S.No. | Faculty Name | Project Name | Project Detail | Duration |
|---|---|---|---|---|
| 1 | Ojaswa Sharma | Virtual endoscopy | Medical imagining application to create photorealistic inside views of human body using radiological imaging. | 2 months |
| 2 | Ojaswa Sharma | XR shape modelling | Free form 3D Shape modelling in extended reality (AR/VR). | 2 months |
| 3 | Ojaswa Sharma | Camera optimization for capturing dynamic scenes | Real-world geometry can be captured and reconstructed using multi-view stereo algorithms. This project will explore camera pose optimization for dynamic scenes (i.e, those with moving objects in addition to static objects). | 2 months |
| 4 | Tanmoy Chakraborty | Social network analysis + NLP | Various aspects of social media analytics | 2-3 months |
| 5 | Samrith Ram | Combinatorics | Algebraic Combinatorics | 2 months |
| 6 | Aman Parnami | Building Novel Augmented Reality and Virtual Reality applications | We are looking for students to work on design and development of novel augmented and virtual reality systems. Students maybe asked to make games, or interactive applications for education. The students should be able to prove competency through an online portfolio in at least one of the following areas: 1. Javascript (experience with React.js, Three.js, Node.js is preferable.). 2. Tensorflow library from Google or equivalent. 3. Unity3D 4. iOS or Android development. Selected students will have the chance to work on a cutting-edge research project to be published in world's best conferences or release their work on App store/Google Play store or for a fundraising campaign. We offer the best HCI research environment in India and world-class infrastructure with latest gadgets such as Oculus Quest 2 and iMac workstations. |
3 months. |
| 7 | Rajiv Ratn Shah | Multimedia and AI for Social Good | Multimedia and AI for Social Good | 2 months |
| 8 | Jainendra Shukla | Engagement analysis using EEG Signals and Machine Learning | The aim of the project is to evaluate attention level among using EEG signals and Machine Learning. | 3 months |
| 9 | Arani Bhattacharya | Scalable Vehicle Detection on Edge Devices | The safety of smart cities can be improved by identifying vehicles that are violating traffic rules. While a lot of work has been done to design computer vision based algorithms for such detection, they do not currently scale well if done on a city-scale. The goal of this project is to make such algorithms scalable, by identifying ways of reducing the compute or using more intelligent scheduling of jobs on edge devices. This requires interest in systems work as well as some basic understanding of algorithms and computer networks. | 3 months |
| 10 | Gourab Ghatak | Reinforcement Learning for Algorithmic Trading | The MAB problem is a sequential decision-making framework where an agent chooses one or multiple actions, from a set of actions, based on the feedback of rewards from the previous choices. The MAB framework has found applications in the field of randomized clinical-trials, online recommendation systems, computational advertisement, and wireless communications. Advances in computational, storage and communication capacity have also led to the rapid advancement of deep-learning including deep-reinforcement learning (deep-RL) solutions. In this project, the student will explore bandit frameworks for algorithmic trading and propose novel bandit algorithms tuned for algorithmic trading. In particular, algorithmic trading consists of mechanisms enabling automated execution of pre-programmed trading instructions by taking into account variables such as time, price, and volume. Thus, the aim is to leverage the speed and computational resources of computers relative to human traders. |
2 months |
| 11 | Vivek Bohara | Intelligent reflective surface implementation | The student would be require to assist in implementation of intelligent reflective surface (also known as RIS (reconfigurable intelligent surfaces)). A good background on antenna design or RF circuits is mandatory. Knowledge on wireless communication systems and Matlab coding will be an added advantage. | 3 months |
| 12 | Vivek Bohara | Indoor localisation using Visible light communication | The student would be require to assist in implementation of indoor localization system using visible light communication (VLC). A good background on wireless communication systems and Matlab coding will be needed. Knowledge of LabVIEW and GNU Radio will be an added advantage. | 3 months |
| 13 | Sumit Darak | Machine Learning for Wireless Networks | Read these papers: 1) https://arxiv.org/abs/1812.11651 2) https://arxiv.org/abs/1803.06810 To get shortlisted, email a 1-pager explaining your understanding of these papers. Email id: alg2arch@iiitd.ac.in |
3 months |
| 14 | Vivek Kumar | High Performance Computing | Parallel programming in C/C++ | 2 months |
| 15 | Ponnurangam Kumaraguru | AI for Social Good | AI for Social Good with Rajiv Ratn Shah | 2 months |
| 16 | Md Shad Akhtar | Emotion Dynamic in Code-mixed Conversation | To understand the dynamics of user's emotion in a multiparty code-mixed conversation. | 2 months |
| 17 | Kaushik Kalyanaraman | Discretizations of Exterior Calculus for Analysis, Geometry and Topology | The library https://github.com/dialkforkaushik/decagt has been developed at IIIT-Delhi and essentially implements in C++ computations for discrete exterior calculus and higher-order finite element exterior calculus. The current implementation has elements of multicore computations in it. The goal of the project for this summer would be two fold and independent of each other. One is to extend this package by porting some of the parallelizable computations to accelerators ("GPUs"). Such an implementation would necessarily involve, for instance, rethinking some data structures in the library (and supporting computational kernels) to make them more amenable to this parallelization. A second aspect of the project would be to improve some key aspects of the library's computational performance. While this is a more software engineering goal, it will be informed by the fundamentals of the computations rather than simply evaluating hot spots (or like) via black box performance analyzers. | 3 months |
| 18 | Swapna Purandare | Analysis of Plant Pollinator Network | Using network approaches to analyse the plant pollinator network and predict the stability and resilience of the ecosystem | 2 months |
| 19 | Swapna Purandare | Ecological Interactions | The project involves biology experiments and observational data collection involving plant-insect and predator-prey interactions. | 2 months |
| 20 | Swapna Purandare | Insect pollinator Conservation | This project involves specimen preparation, pinning, and microscope photography for the digitisation of insect specimen and pollen grains | 2 months |
| 21 | Swapna Purandare | Developing tools and technologies for a sustainable planet | We are developing novel technological approaches based on UAVs, harmonic radar, network analysis and modelling, computer vision, and machine learning to improve the ecological data collection, processing, and analysis | 2 months |
| 22 | Koteswar Rao Jerripothula | Transfer Learning | Transfer learning (TL) is a research problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. In this project, we will explore and implement novel ideas for performing TL. | 2 months |
| 23 | Koteswar Rao Jerripothula | Self-supervised Learning | Self-supervised learning is autonomous supervised learning. It is a representation learning approach that eliminates the pre-requisite requiring humans to label data. Self-supervised learning systems extract and use the naturally available relevant context and embedded metadata as supervisory signals. In this project we will explore and implement novel methods for Self-supervised Learning | 2 months |
| 24 | Koteswar Rao Jerripothula | Medical Image Computing | Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care. In this project, we will try to solve a novel MIC problem. | 2 months |
| 25 | Manohar Kumar | Ethics of AI, Digital Ethics, Civil Disobedience | The internship requires the student to work on themes of Ethics of AI, Digital Ethics, or Civil Disobedience | 2 Months |
| 26 | Ranjitha Prasad | Locally interpretable ML models in Survival Analysis | In this project, we design locally interpretable models in the context of survival analysis. In particular, we look at Bayesian methods for measuring uncertainty in interpretations. | 2 Months |
| 27 | Ranjitha Prasad | Explainable AI methods using Bayesian techniques for tabular data | In the context of tabular data, interpretable AI methods fail due to inconsistency issues. Here, we use Bayesian techniques to extend the statistics learnt from the training data for explainability. | 2 Months |
| 28 | Ganesh Bagler | Computational Gastronomy Framework | To build an integrative computational gastronomy framework constituting of flavor (FlavorDB), recipes (RecipeDB), and health (DietRx). | 2 Months |
| 29 | Ganesh Bagler | Ayurveda Informatics | To build APIs for the Ayurveda Informatics framework | 2 Months |
Summer Internship Projects 2020-21
Summer Internship Projects 2020-21
The summer internship program 2020. Each year our faculty members invest their time, effort & innovation in some great real-time projects.The projects are listed below. A student can apply for a max of 03 projects. The last date to apply is 31st March 2020. The results will be up on the website by 15th April & the internship will commence from 6th May 2020.
Process to apply for internship
- The details of the project openings are listed below.
- Click on Apply Here (From 1st March 2020)
- Login with your google account
- Fill the registration form. If you want hostel select the checkbox accordingly.
- For hostel booking details please click here
- To apply for any project just click the apply button
- Done
- Students who get selected for the summer internship at IIIT-Delhi will be receiving a stipend of 5k per month
Summer Internship Projects 2020-2021 at IIIT-D
| Faculty Name | Project Name | Project Detail | Duration | Status |
|---|---|---|---|---|
| Rajiv Ratn Shah | Multimedia Computing and AI for Social Good | Multimedia Computing and AI for Social Good | 2 Months | Project is now virtual |
| Sujay Deb | Physically unclonable functions (PUF) | We will be exploring PUFs and their use in hardware security | 2 Months | Project closed |
| Manohar Kumar | Ethics in AI, Ethics of Big Data, Justification of Civil Disobedience | The intern will work in the domain of Applied Ethics and Political Philosophy | 2 Months | Pending |
| Vivek Kumar | Developing parallel algorithm and runtimes | This project would require high proficiency in C/C++ language, and concepts of Operating Systems and Computer Architecture | 2 Months | Project is now virtual |
| Gourab Ghatak | Reinforcement Learning | We will investigate some theoretical aspects of RL and their applications to wireless communication | 2 Months | Project is now virtual |
| Vibhor Kumar | Network based analysis of big data | We would use data sciences approach for inferring and studying networks | 2 Months | Pending |
| Piyus Kedia | Memory safety in C | The goal of this project is to add memory safety to C language. The interns are expected to work with the LLVM compiler based tool to evaluate the impact of memory safety approaches on SPEC benchmarks | 2 Months | Project is now virtual |
| Saket Anand | IIITD-ALIVE (Autonomous Last mIle VEhicle) | Autonomous driving project, which will require interns to work on hardware (Car and e-Rickshaw), Sensing and Perception (Camera & LIDAR based processing algorithms) and Planning (robotics path planning algorithms) | 2 Months | Pending |
| Mukesh Mohania | e-Nav: A user preference-aware and event-conscious navigation system for augmenting road trip planning | In this project, we propose e-Nav, which is a user preference-aware and event-conscious navigation system for augmenting road trip planning in order to enrich user experience during the course of his/her journey. | 3-6 Months | Project is now virtual |
| Vivek Bohara and Anand Srivastava | Multi-hop UAV/ Drones communication, 5G, Visible Light Communication | The students will be working on 5G and VLC testbed in the institute. Further they will also be required to do literature review on Multi-hop UAV communication | 2-3 Months | Project is now virtual |
| Gaurav Arora | Statistical characterisation of spatio-temporal climate variability across India since 1901 | The intern will be expected to compile station-level data from IMD since 1901; fit and estimate parametric empirical distributions on those data | 3 Months | Project is now virtual |
| Jainendra Shukla | Attention evaluation using eye-tracking and machine learning | The aim of the project is to evaluate the attention among children with ADHD using eye-tracking data and machine/deep learning techniques | 2 Months | Project is now virtual |
| Jainendra Shukla | Picture-Based App for Verbal Communication: PARROT | The aim of the project is to develop a mobile/tablet app to facilitate verbal communication for children with Autism Spectrum Disorder (ASD). The app will be based on a picture exchange communication system (PECS) and will work as a communication aid for children with ASD and for their parents and/or caregivers. Requires expertise in Android development | 2 Months | Project is now virtual |
| Swapna Purandare | Developing tools and technologies for a sustainable planet | We are developing novel technological approaches based on UAVs, harmonic radar, network analysis and modeling, computer vision, and machine learning to improve the ecological data collection, processing, and analysis | 2 Months | Project is now virtual |
| Kaushik Kalyanaraman | HPC Implementation of Finite Element Exterior Calculus | The proposed internship project will involve building on and extending an existing library for Discretizations of Exterior Calculus developed at IIIT-Delhi: https://github.com/dialkforkaushik/decagt. The objectives will be two fold. First, extension of the DECAGT library for accelerator (GPU) use. Second, implementation in DECAGT of higher-order finite elements in finite element exterior calculus as in https://arxiv.org/pdf/1804.10466.pdf | 3 Months | Project is now virtual |
| Koteswar Rao Jerripothula | Weakly Supervised Learning | The idea is to provide weaker annotations while building our models than what we expect during their inference. For example, we may be having bounding box labels for the training images, but we expect to perform segmentation of the test images. In this case bounding box is a weaker annotation than segmentation | 2 Months | Project is now virtual |
| Monika Arora | On analyzing and predicting the count data with dispersion | The project will involve studying and comparing various statistical models. A comparison study will be done on a real life data set. The existing statistical models will be compared to machine learning algorithms | 2 Months | Project is now virtual |
| Rahul Purandare | Extracting program representations for machine learning | With the success of deep learning in computer vision, natural language tasks, researchers have been started to apply deep learning techniques for software engineering tasks as well. People have applied deep learning techniques to predict invariants, localize buggy lines in source code, etc. All these techniques use some intermediate program representation to extract meaningful and interesting program properties that can be fed to the deep learning model. In this project, we intend to leverage static analysis with machine learning to improve program representations; so that we can have deep richer information for deep learning models to learn from. We expect students to have relevant skills and a strong interest in at least one of the two areas i.e. program analysis or machine learning | 1-1.5 Months | Project closed |
| Koteswar Rao Jerripothula | Domain Adaptation in Computer Vision | Domain adaptation is a sub-discipline of machine learning which deals with scenarios in which a model trained on a source distribution is used in the context of a different (but related) target distribution. The aim of this project in to develop a novel algorithm for domain adaptation for a challenging unexplored domain of images | 2 Months | Project is now virtual |
| V. Raghava Mutharaju | Semi automatic implementation of Ontology Design Patterns | How far can we go in implementing ontology design patterns (ODPs) in an ontology (semi) automatically? This question will be explored during this internship | 2-3 Months | Project is now virtual |
| Aman Parnami | Weaving Interactivity into Everyday Objects and Experiences | Like every year, this year too we will be exploring several projects which require expertise in diverse areas. We need experts in Unity programming for AR/VR projects, Electronic prototyping for multiple projects, Industrial design for multiple projects, Supervised Machine learning for sensory input, Mechanical engineering with interest in working with E-rickshaw. Only apply if you have significant experience that you can show with portfolio or online examples, and if you are willing to work for minimum of 3 months | 2 Months | Project closed |
| Tavpritesh Sethi | Artificial Intelligence Applications in Clinical and Public Health | The project is focused on research and development aspects of delivering AI to critical care and public health settings. We work with India's largest and only ICU-Big Data resource (SAFE-ICU) where we bring AI to the bedside. We also address Social Determinants of global threats such as TB and antimicrobial resistance in the community by combining genomics, clinical measurements, text data and images | 2 Months | Project is now virtual |
| Mukulika Maity | Connecting the disconnected IoT nodes in challenged network scenarios | We address the problem of connecting the IoT nodes to the Internet in the challenged networks (such as in forests without infrastructure or at densely populated railway stations) that are characterized by minimal or intermittent network accessibility. | 3 Months | Project is now virtual |
| Mukulika Maity | Playing mix and match with clients to achieve the optimal performance for next generation WLAN | We aim to look at strategies to select clients towards optimum performance while using TCP, UDP, QUIC and running different applications such as HTTP, FTP, streaming, VoIP | 3 Months | Pending |
| Praveen Priyadarshi | Civic Engagement in Urban India [Civic Data Lab] | Developing methodological tools for collecting data on social media use by urban residents for civic engagement | 3 Months | Project is now virtual |
| Debika Banerjee | Sums related to the Harmonic series | The project will focus on some problems related to sums associated to Harmonic series Problems of these type were studied by Ramanujan. The main reference is Ramanujan's lost Notebook | 2 Months | Pending |
| Sambuddho Chakravarty | Internet Shutdowns | Study of Internet Shutdowns and Censorship | 3 Months | Pending |
| Aasim Khan | Civic Data Lab | A study comparing and combining data from diverse sources about internet access and politics in India with a focus on Delhi | 3 Months | Project is now virtual |
| Shobha Sundar Ram | Automotive radar for advance driver assistance systems | The project will require measurement data collection using real automotive radar sensors as well as simulation of radar signatures in MATLAB. Further, classification algorithms will be explored for automatic target recognition. | 3 Months | Project is now virtual |
| Vikram Goyal | Spatio-temporal Data Analytics | Ananlysis of Delhi bus fleet data and a dashboard implementation | 3 Months | Project is now virtual |
| Vikram Goyal | Personalized Route Recommendation | Design and implmentation of algorithms on spatial networks | 3 Months | Project is now virtual |
| Anuj Grover | TRIZ curriculum in Russian Universities | TRIZ is acronym of a Russian phrase that means "Theory of Inventive Problem Solving". We are adapting TRIZ curriculum for engineering students and wish to adapt examples from Russian schools and colleges for engineering education in India | 2-3 Months | Project is now virtual |
| Debajyoti Bera | Publication Management Tool | The publication management tool is for storing and retrieving the Institute's publications and its related information | 2 Months | Pending |
| Swapna Purandare | Eological Interactions | The project involves biology experiments and observational data collection involving plant-insect and predator-prey interactions. | 2 Months | Project is now virtual |
| Swapna Purandare | Plant-pollinator Interactions | This project involves specimen preparation and microscope photography for the digitization of insect specimen and pollen grains. | 2 Months | Project is now virtual |
| Ganesh Bagler | RecipeDB - An andoid App | Developing an adroid app for recipes and their nutriional data | 2 Months | Project is now virtual |
| Ganesh Bagler | Computational Gastronomy - Data Analytics | Application of data analytics, machine learning and AI for investigating culinary data | 2 Months | Project is now virtual |
| PK | Social Media Analysis / Social Computing | To use social media data to study distracted driving behavior of users. | 2-3 Months | Pending |
| Pravesh Biyani | AI and ML for Urban Transportation | Algorithms for multimodal transportation optimisation in Indian cities | 3 Months | Pending |
Summer Internship Projects 2019-20
Summer Internship Projects 2019-20
The summer internship program 2019. Each year our faculty members invest their time, effort & innovation in some great real-time projects.The projects are listed below. A student can apply for a max of 03 projects. The last date to apply is 31st March 2019. The results will be up on the website by 15th April & the internship will commence from 6th May 2019.
Process to apply for internship
- The details of the project openings are listed below.
- Click on Apply Here
- Login with your google account
- Fill the registration form. If you want hostel select the checkbox accordingly.
- For hostel booking details please click here
- To apply for any project just click the apply button
- Done
- Students who get selected for the summer internship at IIIT-Delhi will be receiving a stipend of 5k per month
| Faculty Name | Project Name | Project Detail | Duration |
|---|---|---|---|
| Rajiv Ratn Shah | Multimedia Systems for Healthcare and Society | Building multimedia systems for healthcare and society exploiting machine learning algorithms. Check more details of our projects at http://midas.iiitd.edu.in | 2 Months |
| Gourab Ghatak | Cooperative mm-Wave Localization for 5G URLLC Applications | This project aims to prescribe algorithms/strategies to enhance the positioning accuracy of mm-wave systems, by employing cooperation among TNs of the network. Throughout the work, the intern would be developing mathematical models for the system under consideration and perform numerical optimization to derive network-dimensioning rules. | 2 Months |
| Sarthok Sircar | DRP numerical schemes for advection-diffusion-reaction equations | The project aims to find out the "best" possible combination (the criteria of best will be explained during the course of the project) of time-integration and spatial discretization schemes for advection-diffusion-reaction equations, common to applications in biomathematics. | 2 Months |
| Vibhor kumar | Analysing big data with novel algorithm | Analysis of hyperdemsional data in genomics | 2-3 Months |
| Ashish Kumar Pandey | Linear stability of periodic traveling waves of nonlinear PDEs | A periodic traveling wave solution of a nonlinear PDE is termed to be "stable" if it doesn't deviate from its original form in some sense. In general, it's a hard problem but instead of looking at the full nonlinear PDE, if we look at its linearized version, the analysis is relatively easy both analytically and numerically. In this project, we will study stability of periodic traveling waves of some shallow water wave models. | 2 Months |
| Vivek Bohara | VLC annd 5G Testbed | The student will help us in the developing a visible light communication (VLC) and a next generation 5G testbed on software defined radio platform. The student will also be involved in proposing new algorithms and testing this algorithms through software such as Matlab and LabView. | 2-3 Months |
| Jainendra Shukla | Social Media/Streaming Services among Indian Subscribers | The aim of the first project is to analyze the effects of social media among Indian subscribers by performing a randomized evaluation of the welfare effects of social media. It will also look at the quality and the popularity of different streaming services. | 2-3 Months |
| Jainendra Shukla | Affective Computing | Project will look at online recognition of emotional states among an individual using physiological signals such as EDA/HR/EEG. | 2-3 Months |
| Tanmoy Chakraborty | Natural Language Processing, Data Mining, Machine Learning | Various problems related to Social Media, which involve NLP, Data Mining and ML | 2-3 Months |
| Rakesh Chaturvedi | Mechanism Design for Land Assembly Environments | The intern will be required to both formulate and implement a mechanism design approach to land acquisition problem using linear programming. | 2 Months |
| Aman Parnami | Building wearable and tangible systems | This project is an exploration in the area of wearable or tangible systems. The student will be expected to work on either programming, building hardware, or designing visuals and UI. | 3 Months |
| Debajyoti Bera | Developing tools for post-processing of random number generator | Random number generators output data whose "randomness" needs to be established and third-party libraries exist to verify such properties. One outcome of the project would involve building a tool for the same using the libraries. Two other outcomes would be to (a) extract pure random bits from any source of random numbers that is not necessarily emitting pure high-quality random bits and (b) connect both the earlier steps. | 2-3 Months |
| Swapna Purandare | Developing Tools and Technology for a Sustainable Planet | This project involves developing tools/technology for biodiversity assessment and conservation. For example, using CV/ML for automatic insect identification, classification, and counting. | 2 Months |
| Sneh Saurabh | Simulation of Nanoelectronic Devices | Using 2D Device simulation, various Nanoelectronic Devices will be simulated. A strong background of Solid State Devices is necessary. | 2 Months |
| Mukulika Maity | Connect the WiFi-based IoT Nodes in Challenged Scenarios | Address the problem of connecting the IoT nodes to the Internet in the challenged networks, which are characterized by minimal/intermittent network accessibility. For example, in forests without infrastructure or at railway stations that are densely populated. | 3 Months |
| Mukulika Maity | Solution Approaches for Improving WiFi Performance in Dense Settings | Analysis of next generation WLAN IEEE 802.11ax to improve WiFi performance in dense settings such as stadium, busy air-ports etc. | 3 Months |
| Mukulika Maity | Restrict background traffic in smartphones | A solution to restrict background traffic from smartphones to optimize network and battery performance. | 3 Months |
| Debarka Sengupta | Voice enabled query of medical records | This project involves building a voice enabled database querying service for hospital records | 3 Months |
| Pravesh Biyani | AI for urban transportation | We will create a trip planner using the open data that project that was implemented by us for the Delhi govt. (otd.delhi.gov.in) | 2 Months |
| Vivek Kumar | Developing tasks based parallel applications in C++11 for multicore processors | Student will be provided with parallel programs written in Java. They will have to first rewrite those programs in C++11 by using a task based parallel programming model called as HClib (http://habanero-rice.github.io/hclib/). They will then study the parallel performance of these applications on a 32 core processor. | 2 Months |
| Vikram Goyal | Collaborative Filtering on Big Data Platforms | Data munging and management for the task of product recommendation | 3 Months |
| Sneha Chaubey | Distribution of sequences modulo one | Investigate questions on distribution of sequences which appear naturally in problems in number theory | 2-3 Months |
| Rahul Purandare | Program analysis to find functionally similar implementations across languages | Have a background in natural language processing techniques (word embedding) and preferably a fair idea of Abstract syntax trees | 2 Months |
| Rahul Purandare | Comprehension of software binaries using learning algorithms. | Comprehension of software binaries poses a number of problems as a compilation of source may add or remove certain instructions such as ghost operations introduced for function parameters, or replacement of log API call with a precomputed value in an optimized version of the binary. In this project, we intend to leverage machine learning and information retrieval approaches coupled with static analysis to summarize binaries. The project is organized in two phases. In the first phase, we will collect binaries for different popular algorithms compiled with different optimization levels and prune them using static analysis. In the second phase, we plan to use learning algorithms on the pruned dataset to comprehend the binaries. Skills Required: C/C++, Basic knowledge of compilers, machine learning and/or information retrieval. |
3 Months |
| Raghava Mutharaju | Development of Domain Specific Language for capturing requirements | Develop a domain specific language (DSL), which is generally a restricted English language vocabulary that can be used by the domain experts to express the requirements in the language that they understand. From the DSL, code and test cases will be generated automatically. Keywords: DSL, Requirements Engineering, Code Generation | 2-3 Months |
| Rahul Mohanani | Development of Domain Specific Language for capturing requirements | Develop a domain specific language (DSL), which is generally a restricted English language vocabulary that can be used by the domain experts to express the requirements in the language that they understand. From the DSL, code and test cases will be generated automatically. Keywords: DSL, Requirements Engineering, Code Generation | 2-3 Months |
| PB Sujit | Cooperative control of UAVs | This project involves designing strategies for the UAVs to collaborate with each other for achieving different objectives | 2 Months |
| Kaushik Kalyanaraman | HPC implementation of discretizations of exterior calculus | Calculus on manifolds or exterior calculus is the language of differential forms that is finding increasing acceptance to express certain partial differential equations. These include equations of elasticity, electromagnetism and fluid flow. Discretizations of exterior calculus have therefore become crucial and, since the turn of the 21st century, somewhat pervasive. Discrete exterior calculus (DEC) and finite element exterior calculus (FEEC) have been two popular discretizations of exterior calculus, and a part of their success can be attributed to their discrete structure preserving properties. The standard package for performing computations in DEC and FEEC has been the Python library PyDEC (https://github.com/hirani/pydec) due essentially to Anil Hirani. This summer internship project shall strive to reimplement all objects and operators implemented PyDEC via C/C++ and with high performance computation (HPC) capabilities, and a Julia/Python frontend. This will require a rethink of the design and redevelopment of the framework. | 3 Months |
| Debajyoti Bera | Quantum random number generators | Random number generators using quantum mechanical principles (QRNG) are conceptually better than those based on classical techniques, algorithms and sole dependence on noise. This project will involve reading scientific articles on QRNGs and preparing a comparative survey on them. Knowledge of quantum computing is not required but knowledge of quantum physics (at the high school level) is required and a passion for understanding physics. This project is more suitable for Physics majors. | 2-3 Months |
| Anuj Grover | Memory Design and Test | Develop support material for Memory Design and Test course | 3 Months |
| Anubha Gupta | EEG signal processing | This project is related to building methods for EEG signals for extracting functional brain networks. | 3 Months |
| Anubha Gupta | Cancer Genomics/bioinformatics | This project is related to carrying out survival analysis - overall survival and progression-free survival on the cancer data. | 3 Months |
| Amrit Srinivasan | SRP 101- Sustainable Lifestyles Accelerator | Sustainable Lifestyles Accelerator is a KR Foundation Denmark funded 7 nation initiative focusing on households to encourage One Planet living through behavior change. The Wuppertal Institute Germany is the lead partner, leaders in initiatives aimed at reduction in the carbon and material footprint of an individual and his or her immediate family. The project is unique in that it calculates each participating household’s energy consumption and encourages and guides members to move towards reduced levels of carbon production through actions they have chosen for themselves and think are feasible for them. The project guides and maps and handholds people, inspiring them with 2030 as the year for reaching the 3 ton goal in footprint reduction. It eventually seeks to reach out to 10000 participants from India, through the medium of a platform, online tools and social media. | 2-3 Months |
| Ganesh Bagler | Computational Gastronomy Tools - Android App Development | Interns, with solid prior experience of Android App development, would develop Android Computational Gastronomy tools using the following two databases as the basis: (1) FlavorDB: a database of flavor molecules, Nucleic Acids Research, 2018. (https://doi.org/10.1093/nar/gkx957) (2) SpiceRx: an integrated resource for the health impacts of culinary spices and herbs, bioRxiv, 2018, https://doi.org/10.1101/273599. | 2-3 Months |
| Ganesh Bagler | Data-driven Recipe Analytics and Recommendation System | Analysis of food-recipe data and development of a recommender system using data of recipes, their ingredients and flavor molecules. Skills Required: Recommender Systems, Statistics, Distributional Semantics, Data Analytics. | 2-3 Months |
| Ganesh Bagler | Pattern mining for Food-Disease Relations Data | Statistical Analysis and Association Rule Learning to find correlations, patterns or causal structures from a large database of food-disease relations. Skills required: Association Rule Learning, Python/R, matplotlib, ggplot. | 2-3 Months |
| Ganesh Bagler | Estimating nutrition from recipe details | Application of state-of-the-art deep learning and machine learning techniques on recipe details (images and text) towards estimating nutrition information. Skills required: Deep Learning, Machine Learning, Natural Language Processing, PyTorch/Tensorflow, Scikit-learn | 2-3 Months |
| Ganesh Bagler | RecipeDB - Database development | Development of a comprehensive database of recipes. Skills required: Javascript, HTML, CSS, Django/Flask, Python | 2-3 Months |
| Tavpritesh Sethi | Deep learning Powered Android App for Healthcare Models | The two summer interns will divide their work between (i) Making our deep learning models production ready for addressing a healthcare need (ii) create an android application for deployment. | 2 Months |
We are, thankful to Microsoft for supporting the summer internship program 2017. Support extended by Microsoft each year helps a lot of students & faculty members to invest their time, effort & innovation in some great real-time projects.
Summer Internship Projects 2018-19
Summer Internship Projects 2018-19
| Faculty Name | Project Name | Project Detail | Duration |
|---|---|---|---|
| A V Subramanyam | Visual Tracking and Person Reidentification | Visual Tracking involves tracking of an object in a video by just looking at the first frame. We are using Deep Learning (DL) and Reinforcement Learning (RL) towards this task. In long term tracking, one has to re-identify a person when the person moves from one camera to another and again initialize tracker for further processing. This uses Metric Learning, DL and RL. | 3 months |
| Aman Parnami | Interactive Wearables for Social Good | This project explores the possibilities of building interactive wearable solutions for social good. Under this broad theme are several smaller projects specific to stakeholders (e.g., Policemen, Conductors) for whom we will build the solutions. Each solution will comprise of work with the electronics, software, and physical materials. Students with design and crafts, programming, and/or electronics background may apply. | 3 months |
| Ponnurangam Kumaraguru (PK) | Social Media Analysis | 3 months | |
| Anand srivastava | Visible Light Communications/Fiber-Wireless Architecture | 2 Months | |
| Arun Balaji Buduru | Context-sensitive prediction of security breaches in partially observable environments | 3 | |
| Debarka Sengupta | Voice activated district and state level interactive map of India | We want to build a voice activated (speech recognition enabled) map of India to show health related statistics at the level of states and districts. | 3 months |
| Donghoon Chang | White box Cryptography | design and analysis of White box Implementation of Block Ciphers | 3 months |
| Ganesh Bagler | Computational Gastronomy Tools - Android App Development | Interns, with solid prior experience of Android App development, would develop Android Computational Gastronomy tools using the following two databases as the basis: (1) FlavorDB: a database of flavor molecules, Nucleic Acids Research, 2018. (https://doi.org/10.1093/nar/gkx957) (2) SpiceRx: an integrated resource for the health impacts of culinary spices and herbs, bioRxiv, 2018, https://doi.org/10.1101/273599. | 3 months |
| Ganesh Bagler | Data-driven Recipe Analytics and Recommendation System | Analysis of food-recipe data and development of a recommender system using data of recipes, their ingredients and flavor molecules. Skills Required: Recommender Systems, Statistics, Distributional Semantics, Data Analytics. | 3 months |
| Ganesh Bagler | Applications of Machine Learning for Chemoinformatics Data | Application of Machine Learning for Chemoinformatics data for towards prediction of flavor (odor/taste) of small molecules. Skills Required: Machine Learning, Supervised Classification, High Dimensional Data, Python/R. | 3 months |
| Ganesh Bagler | Pattern mining for Food-Disease Relations Data | Statistical Analysis and Association Rule Learning to find correlations, patterns or causal structures from a large database of food-disease relations. Skills required: Association Rule Learning, Python/R, matplotlib, ggplot. | 3 months |
| Gaurav Arora | Characterizing and Comprehending Agricultural Land Use Change in India's Gangetic Plains | The project will involve collecting and analyzing agricultural land use data at administrative (state, districts, etc.) and pixel-levels (satellite data) to model agricultural land use change. | 3 months |
| K. Sriram | Modeling and statistical analysis of cancer NGS data | Determination of passenger and driver mutations in cancer systems | 3 months |
| Mukulika Maity | Leveraging WiFi infrastructure towards building a Smarter City | This project aims at leveraging public WiFi infrastructure towards building a smarter city apart from the basic purpose of Internet connectivity provider. We will work on a) stuffing information in management frames of WiFi, b) Analysing and evaluating the performance of new 802.11ax standard | 3 |
| Mukulika Maity | Scalable Measurement of Air Pollution using COTS IoT Devices | Estimating air pollution of a locality from our measured air-pollution data and looking at factors, such as traffic conditions and greenery and so on. | 3 |
| Ojaswa Sharma | Machine learning in volume rendering | 3 months | |
| Ojaswa Sharma | Geometry creation for VR | 3 months | |
| Piyus Kumar Kedia | Optimizing garbage collection for big-data platform | Modern languages guarantee memory and type safety, which is a major step towards bug-free code. However, they come with additional costs, which makes them impractical for performance sensitive workloads. One of the main reason behind these overheads is garbage collection. Garbage collection eliminates the burden of manual memory management and ensures temporal-safety. To achieve this, garbage collectors extensively use kernel memory management APIs. The garbage collection does remarkably well for applications with small memory footprint or when most of the objects have short lifetimes. However, for big-data workloads (works on GBs of data), it performs very poorly. The goal of this study is to understand the cost of memory management system call APIs and try to move them in the user-space (much like an exokernel way) for improving the performance of garbage collection. | three months |
| Pravesh Biyani | Auto Vending Machine | AI/ML for vending machines | 2-3 months |
| Pushpendra Singh | FileSync | The project will require development of a mobile/PC based software to sync contents on user devices in low-resource settings i.e. exploiting mechanisms of ad-hoc and opportunistic networking. The project will require good hands-on skills in python, java, and android programming. | 2 months |
| Rahul Purandare | Leveraging cross-language test suites for similar methods | The higher objective of this work would be to leverage test suites from across libraries to test similar methods in other libraries- which may be cross language/cross-platform etc.,. For this, one requirement is to be able to automatically recognize if two methods are similar in functionality. One component of this work where the intern could work is how the method documentation could be used to compute methods' similarity. Desired skills: In Pattern recognition, Natural Language Processing, Program Synthesis(optional) | 3 months |
| Rahul Purandare | Safe operating systems for low-cost embedded devices. | Low-cost wireless sensor nodes have severe storage and power constraints. Moreover, these architectures have limited support for memory management and protection. Despite these constraints, they need to provide services of a general purpose system. Because of the limited user interface, dependability is also a prime requirement. The goal of this project is to design a general-purpose OS for these platforms using a safe language, which meets the dependability requirement, while efficiently using the available resources. | 3 months |
| Rajiv Ratn Shah | Multimodal Social Media Computing | With the advent of smartphones and auto-uploaders, user-generated content (e.g., tweets, photos, and videos) uploads on social media have become more numerous and asynchronous. Thus, it is difficult and time taking for users to manually search (detect) interesting events. It requires for social media companies to automatically detect events and subsequently recommend them to their users. An automatic event detection is also very useful in an efficient search and retrieval of user-generated content. Furthermore, since the number of users and events on event-based social networks (EBSN) is increasing rapidly, it is not feasible for users to manually find the personalized events of their interest. We would like to further explore events on EBSN such as Meetup for different multimedia analytics projects such as recommending events, groups, and friends to users. We would like to use Deep Neural Network (DNN) technologies due to their immense success to address these interesting problems. In recent years, advances in DNN technologies have yielded immense success in computer vision, natural language processing (NLP), and speech processing. Especially, DNN has enabled significant performance boost in many visual tasks including image and video semantic classification, object detection, face matching and retrieval, text detection and recognition in natural scenes, image and video captioning, text classification, speech classification, item recommendation, and others. Recent studies confirm that DNN-based new representations contribute performance improvement in event detection and recommendation. In addition to user-generated content (e.g., tweets, photos, and videos), a significant amount of social and contextual information is available on a social media platform. Thus, the goal of this project is to explore the new directions and the technologies of DNN-based event detection and recommendation leveraging multimodal social media information. | 3 months |
| Rakesh Chaturvedi | Market mechanisms for mineral allocation in India | The interns will be expected to: 1) collate and analyze data on previous and ongoing mineral auctions in India, including bids information and engineering/geo-technical data for allocated mines; 2) compile a report on the policies and major socio-economic-political events for mineral allocation in India. | 2 months |
| Saket Anand | 2018 Driverless Car Project | Develop Perception and Planning modules for IIITD's driverless car project | 2.5 months |
| Saket Anand | Visual Wildlife Monitoring | Detection and Identification of Animals in Camera Trap images | 2.5 months |
| Samaresh Chatterji | Graph Theory | Algebraic Graphtheory | 8 weeks |
| Samrith Ram | Combinatorics and Graph Theory | Students learn techniques in combinatorics and graph theory including some applications. | 2 months |
| Sanat K. Biswas | Switched Mode Kalman Filter for Real-time orbit determination at High Earth Orbits | For a highly non-linear system and low PDOP GNSS observations, the EKF and the Unscented type Kalman Filters provide similar accuracy. For high PDOP the Unscented type Filters provide better accuracy than the EKF. Hence, for a non-linear application with GNSS observations online switching of Kalman Filter variants based on the non-linearity and the PDOP can enable optimal use of computation resource. This can be particularly helpful for GNSS based orbit determination of spacecrafts in highly elliptical orbits. | 1-2 Months |
| Sankha S. Basu | Mathematical logic | Mathematical logic, foundations of mathematics | 1 month |
| Sarthok Sircar | Kinetics of biological gels | The project aims to study the behavior of biological gels under variable physiological environment (i. e. ph, salt concentration, charge density). | 3 months |
| Sujay Deb | Wearable devices for preventive healthcare | Objective is to develop wearable devices to monitor critical parameters continuously and making sense of the data | 3 months |
| Sujay Deb | Vein finder | Objective is to locate vein using smart phone camera | 3 months |
| Sujit | Multi uav coordinated control | Designated and development of coordinated algorithm for multiple UAVs. This will involve development of algorithm as well as hardware experimentation. | 2 months |
| Sumit Darak | Machine Learning for Wireless Networks | Design and implement online (reinforcement) learning algorithm for coordination in infrastructure-less networks. | 3 months |
| Sumit Darak | USRP Demo for Wireless Networks | Design and develop demo using USRPs for wireless applications such as aeronautical communications and cognitive radio. | 3 months |
| Tanmoy Chakraborty | Different aspects of social networks | We will study various aspects of social media including network diffusion, growth, security, fraud and malicious activities etc. | 3 months |
| Vibhor Kumar | statistical analysis of single cell expression and epigenome | students will implement codes for analysis of single cell expression and epigenome | 3 months |
| Vikram | Graph Data Analytics | Scalable Graph Algorithms on Big Data Platforms | 3 months |
| Vivek Bohara | 5G testbed | Develeopment of testbed for some of the technologies that may be precursor to 5G cellular standard. | 2 |
| Vivek Kumar | High Performance Work-Stealing Runtime | This project will involve implementation of a C++11 library-based work-stealing runtime for dynamic task parallelism. Students will be provided the design of this runtime. | 3 months |
| Vivek Kumar | Developing Parallel Algorithms | The intern will be given a set of parallel implementation of graph based algorithms implemented in Java. The intern will have to parallelize these algorithm in C++11 using dynamic task parallelism. They will have to measure the performance benefits and come up with improvements to further improve the parallel performance. | 3 months |
Summer Internship Projects 2017-18
Summer Internship Projects 2017-18
| Project Name | Faculty Name | No.of Interns | Duration |
|---|---|---|---|
| Doppler radar for tracking humans | Shobha Sundar Ram | 1 | 2-3 months |
| 3D avatar creation | Ojaswa Sharma | 1 | 2-3 months |
| Machine learning for Green Wireless Networks | Sumit Darak | 2 | 3 months |
| Online Social Media | PK | 2 | 3 months |
| RFID for IoT Applications | Mohammad Hashmi | 3 | 2 months |
| Spectrum sharing in 5G | Vivek Bohara | 2 | 2 months |
| SDN | Vinayak Naik | 1 | 3 months |
| Autonomous vehicle planning with wireless comm | Sanjit Kaul | 6 | 3-6 months |
| Designing WiFi networks for capacity | Sanjit Kaul | 1 | 3 months |
| 3D ICs | Sujay Deb | 5 | 3 months |
| ACM India Website | Pushpendra Singh | 2 | 3 months |
| Multimedia Surveillance and Forensics | A V Subramanyam | 1 | 3 months |
| FlavorDB: A database of flavor molecules | Ganesh Bagler | 4 | 3 months |
| Prediction of drug side effects using machine learning strategies | Ganesh Bagler | 2 | 2 months |
| Food pairing analysis | Ganesh Bagler | 2 | 2 months |
| Computational analysis of food-disease associations network | Ganesh Bagler | 1 | 2 months |
| Swarath - Driverless Car | Saker Anand | 5 | 3 months |
| LiFi | Anand Srivastava | 2 | 2 months |
| A Data-science approach to Feature Learning for Clinical Decision Support in the Intensive Care Units | Tavpritesh Sethi | 4 | 2 months |
| USV path planning for bathymetry mapping | P.B. Sujit | 1 | 3 months |
| Self-adapting security solutions for critical cyber infrastructures | Arun Balaji Buduru | 2 | 3 months |
| Graph signal processing of networks | Vibhor kumar | 2 | 3 months |
| Virtual campus project | Ojaswa Sharma | 1 | 3 months |
| Automated evaluation of medium and high complexity answers to questions | Debarka Sengupta | 2 | 3-4 months |
| Characterizing and comprehending spatio-temporal agricultural land use changes in India's Gangetic Plains | Gaurav Arora | 1 | 2-3 months |
| Deep learning in Genomic Data in cancer research | Anubha | 1 | 3 months |
| EEG data analysis | Anubha | 2 | 3 months |
| Inferring signalling networks from perturbation biology | Sriram K | 1 | 3 months |
| RFID + IOT | Dr.Pravesh | 2 | 3 months |
| Aerial Video Person Reidentification | Dr A V Subramanyam | 3 | 3 months |
| Medical Volume Processing | Ojaswa Sharma | 1 | 3 months |
Summer Internship Projects 2016-17
Summer Internship Projects 2016-17
| Project Name | Faculty Name | No.of Interns | Duration |
|---|---|---|---|
| Multi-standard Wireless Communication Receivers | Sumit J Darak | 1 | 2-3 months |
| New Multi-carrier waveforms for 5G | Sumit J Darak | 2 | 2-3 months |
| Smart Grids | Sumit J Darak | 1 | 2-3 months |
| Milimeter wave transmisison | Vivek Ashok Bohara | 3 | 2-3 months |
| Underlay Device to Device communication | Vivek Ashok Bohara | 3 | 2-3 months |
| Virtual Campus Project | Ojaswa Sharma | 3 | 2-3 months |
| Video Surveillance/Multimedia Forensics | A V Subramanyam | 3 | 2-3 months |
| Virality of Videos on Online Social Media | PK | 1 | 2-3 months |
| Millimeter Wave (mmW) and THz Communication System, | Mohammad Hashmi | 2 | 2-3 months |
| Virality of Images on Online Social Media | PK | 1 | 2-3 months |
| Egocentric Vision | Chetan Arora | 3 | 2-3 months |
| Resource allocaton for Transportation on Open Street Map | Pravesh Biyani | 1 | 2-3 months |
| Passenger O-D Data for Delhi/NCR | Pravesh Biyani | 1 | 2-3 months |
| Swarath - Driverless Car | Saket Anand | 2 | 2-3 months |
| IoT | Vinayak Naik | 4 | 2-3 months |
| System for active dog repellent | Alex | 1 | 2-3 months |
| Link Prediction | Vikram Goyal | 1 | 2-3 months |
| Dynamic Social Network Analysis | Viswanath Gunturi | 1 | 2-3 months |
| Mining Algorithm for Private Trajectory Data | Vikram Goyal | 1 | 2-3 months |
| Chipless RFID tags/ Passive RFID Tags | Mohammad Hashmi | 1 | 2-3 months |
| Develop BMS for Phase II | Hemant Kumar | 2 | 2-3 months |
Summer Internship Projects 2015-16
Summer Internship Projects 2015-16
| Faculty Name | Project Name | No.of Interns | Duration |
|---|---|---|---|
| Pravesh Biyani | Traffic karma | 6 | 2-3 months |
| Sujay Deb | Mobile App for Cardiovascular signals | 7 | 2-3 months |
| Sachit Butail | Crowd behavior test bed | 2 | 2-3 months |
| Sachit Butail | Crowd behavior test bed | 2 | 2-3 months |
| Saket Anand, Ojaswa Sharma | Mapping and 3D rendering of indoor environments | 4 | 2-3 months |
| Vivek Bohara | D to D communication | 1 | 2-3 months |
| Vivek Bohara | Cognitive Radio | 2 | 2-3 months |
| 1 | 2-3 months | ||
| Ojaswa Sharma | MLS based 2D deformation | 2 | 2-3 months |
| Debajyoti Bera | Large graph algorithm | 1 | 2-3 months |
| A V Subramanyam | Multimedia Forgery Detection | 1 | 2-3 months |
| Anand Srivastava | Next Generation Passive Optical Networks | 1 | 2-3 months |
| Shobha Sundar Ram | Radar Imaging | 1 | 2-3 months |
| Mohammad Hashmi | Smart Electronic System | 1 | 2-3 months |
| Arnab Bhattacherjee | Developing parallel multi-scale model for folding proteins | 1 | 2-3 months |
| Arnab Bhattacherjee | Developing parallel multi-scale model for folding proteins | 1 | 2-3 months |
| Vikram Goyal | Spatial-textual Data Analytics | 2 | 2-3 months |
| Vikram Goyal | Mining Foursquare data for recommending next location to visit | 1 | 2-3 months |
| Mohammad Hashmi | RFID System | 2 | 2-3 months |
| Anubha Gupta | Microscopic Image Analysis | 1 | 2-3 months |
| Rajiv Raman | Visualizing large graphs | 3 | 2-3 months |
| Jyoti Sinha | Cleaning Bot | 2 | 2-3 months |
| Jyoti Sinha | Mapping through distributed robots | 1 | 2-3 months |
| Jyoti Sinha | Robot preception behaviors | 2 | 2-3 months |
| Jyoti Sinha | Developing manipulator arm experiments for rob otics labs( course) | 2 | 2-3 months |
| Jyoti Sinha | Pollution Monitoring | 2 | 2-3 months |
| Pushpendra Singh | m-Health | 2 | 2-3 months |
| Alex | WII sensor node | 1 | 2-3 months |
| Prof. Jalote/Rashmil | Placement Refresher Module | 4 | 2-3 months |
| Prof. Jalote/Rashmil | Placement Refresher Module | 5 | 2-3 months |
| Apala | CGRA compilation | 1 | 2-3 months |
| Inno Internship Team: Sanjay | Vinayak Naik:Diag sleep disorder | 4 | 2-3 months |
| Inno Internship Team: Sanjay | Himanshu Chandna:Reduce elec consumption | 3 | 2-3 months |
| Inno InternshipTeam: Sanjay | Kartik Maji:Loby | 4 | 2-3 months |
| Dr. Pravesh Biyani / Rajendra | Online book recommendation portal | 1 | 2-3 months |
| Prof. Chetan Arora | Thinking Beyond Team | 8 | 2-3 months |
| Chetan Arora | Egocentric Vision | 1 | 2-3 months |
| K. Sriram | Modeling the dynamics of Alzheimer's disease |
1 | 2-3 months |
| S.No | Project Name | Faculty Name | Duration | No.of Interns |
|---|---|---|---|---|
| 1. | Audio Signal Processing | Dr. Somitra | 2-3 months | 2 |
| 2. | Sensor based Chess board development | Dr. Somitra | 2-3 months | 2 |
| 3. | Studies on Cryptographic hash functions | Dr. Donghoon and Dr. Somitra | 2-3 months | 2 |
| 4. | Haptics Simulation( software level ) | Dr. Alex | 2 months | 1 |
| 5. | Mobile Healthcare | Dr. Pushpendra | 2-3 months | 1 |
| 6. | Digital Forensics | Dr. Gaurav | 8-10 weeks | 2 |
| 7. | fMRI | Dr. Anubha | 2 months | 2 |
| 8. | Microscopic Image Analysis | Dr. Anubha | 2 months | 2 |
| 9. | Neuronal Modeling | Dr. Anubha | 2 months | 1 |
| 10. | Digitalized Document Fraud | Dr. Gaurav | 8-10 weeks | 3 |
| 11. | CNFET Technology | Dr. Mohammad | 8 weeks | 3 |
| 12. | PA Behavioral Modeling | Dr. Mohammad | 8 weeks | 2 |
| 13. | Software Defined Radio | Dr. Mohammad | 8 weeks | 1 |
| 14. | Higher layer protocols for cognitive radio | Dr. Vivek | 3 months | 1 |
| 15. | Digital Multimedia Forensics | Dr. Subramanayan | 2 months | 2 |
| 16. | 2D/3D Map Building | Dr. Saket | 2 months | 1 |
| 17. | Road and Driver Monitoring | Dr. Sanjit | 3 months | 1 |
| 18. | Spatial Data Analysis | Dr.Vikram Goyal | 3 months | 3 |
| 19. | Signal Processing | Dr.Vikram Goyal | 3 months | 1 |
Summer Internship Projects 2014-15
Summer Internship Projects 2014-15
| S.No | Project Name | Faculty Name | Duration | No.of Interns | Stipend |
|---|---|---|---|---|---|
| 1. | Audio Signal Processing | Dr. Somitra | 2-3 months | 2 | |
| 2. | Sensor based Chess board development | Dr. Somitra | 2-3 months | 2 | Yes |
| 3. | Studies on Cryptographic hash functions | Dr. Donghoon and Dr. Somitra | 2-3 months | 2 | Yes |
| 4. | Haptics Simulation( software level ) | Dr. Alex | 2 months | 1 | Yes |
| 5. | Mobile Healthcare | Dr. Pushpendra | 2-3 months | 1 | Yes |
| 6. | Digital Forensics | Dr. Gaurav | 8-10 weeks | 2 | Yes |
| 7. | fMRI | Dr. Anubha | 2 months | 2 | Yes |
| 8. | Microscopic Image Analysis | Dr. Anubha | 2 months | 2 | Yes |
| 9. | Neuronal Modeling | Dr. Anubha | 2 months | 1 | Yes |
| 10. | Digitalized Document Fraud | Dr. Gaurav | 8-10 weeks | 3 | Yes |
| 11. | CNFET Technology | Dr. Mohammad | 8 weeks | 3 | Yes |
| 12. | PA Behavioral Modeling | Dr. Mohammad | 8 weeks | 2 | Yes |
| 13. | Software Defined Radio | Dr. Mohammad | 8 weeks | 1 | Yes |
| 14. | Higher layer protocols for cognitive radio | Dr. Vivek | 3 months | 1 | Yes |
| 15. | Digital Multimedia Forensics | Dr. Subramanayan | 2 months | 2 | Yes |
| 16. | 2D/3D Map Building | Dr. Saket | 2 months | 1 | Yes |
| 17. | Road and Driver Monitoring | Dr. Sanjit | 3 months | 1 | Yes |
| 18. | Spatial Data Analysis | Dr.Vikram Goyal | 3 months | 3 | Yes |
| 19. | Signal Processing | Dr.Vikram Goyal | 3 months | 1 | Yes |
Summer Internship Projects 2013-14
Summer Internship Projects 2013-14
| Project No. | Faculty | Project Title | B.Tech./ M.Tech. | CSE/ ECE |
|---|---|---|---|---|
| 1 | Vinayak Naik | Wireless Network | BTech | CSE |
| 2 | Vinayak Naik | Webhosting and Databases | BTech | CSE |
| 3 | Mohammad Hashmi | Algorithm Optimization for ELP Calibration | BTech | CSE |
| 4 | Mohammad Hashmi | Pacemaker Antenna | BTech | ECE |
| 5 | Mohammad Hashmi | Current Mode OPAMP Based Circuits | BTech | ECE |
| 6 | Sujay Deb | On-Chip Antennas | BTech | ECE |
| 7 | Sujay Deb | Biomedical Signal Acquisiton Unit | BTech | ECE |
| 8 | Sujay Deb | Indoor positioning system | BTech | ECE |
| 9 | Sujay Deb | Power gating Circuits | MTech | ECE |
| 10 | Sujay Deb | NoC Switch | MTech | ECE |
| 11 | Sujay Deb | On-Chip ECG Amplifier | BTech | ECE |
| 12 | Sujay Deb | Electronic stethoscope | BTech | ECE |
| 13 | Somitra Sanadhya | Cryptanalysis of Hash functions (MD4,MD5, MD4, SHA-0) | BTech | CSE |
| 14 | Somitra Sanadhya | Implementation and studying attacks on SALSA 20 | BTech | CSE |
| 15 | Somitra Sanadhya | Learning with errors (LWE) problem | BTech | CSE |
| 16 | Mayank Vatsa | Periocular Recognition | BTech | CSE |
| 17 | Mayank Vatsa | Fingerprint Recognition | MTech | CSE |
| 18 | Nipun, Amarjeet | Energy Dashboard | BTech/MTech | CSE |
| 19 | Apurv, Jatin, Amarjeet | OpenMRS based healthcare | BTech | CSE |
| 20 | Siddhartha, Pushpendra | IVR | BTech | CSE |
| 21 | Amarjeet | Systems Management Course | MTech | CSE |
| 22 | Pushpendra | SVN System | BTech | CSE |
| 23 | Amarjeet | Interface water flow meter with Flyport (WiFi, GPRS) | BTech | CSE |
| 24 | Amarjeet | RaspberryPi Extension board | BTech | CSE |
| 25 | Amarjeet | Vehicle Tracking | BTech | CSE |
| 26 | Dheryta | Analysis of WiFi Frames using TCPdump | BTech | CSE |
| 27 | Kuldeep | Preparation of SQL Database and PHP Website to Share Location Data | BTech | CSE |
| 28 | Pushpendra | Mobile Phone Sensing | MTech | CSE |
| 29 | Amarjeet | Mobile Phone Sensing | MTech | CSE |
| 30 | Amarjeet | Zwave based sensing | MTech | CSE |
| 31 | Richa Singh | Face Recognition | BTech | CSE |
| 32 | S.K KAUL | Wireless Networks | MTech | CSE |
| 33 | S.K KAUL | Mobile Sensing | MTech | CSE |
| 34 | Gaurav Gupta | Document Intigrity Protection using QR code | BTech | CSE |
| 35 | Gaurav Gupta | Forgery analyser for digitized document frauds | BTech | CSE |
| 36 | Gaurav Gupta | Privacy preserving forensic investigation | Ph.D | CSE |
| 37 | Gaurav Gupta | Digital Forensics(Forensics Disk Imaging). | BTech | CSE |
| 38 | Gaurav Gupta | Device Characterization | BTech | CSE |
| 39 | Gaurav Gupta | VoIP and call provenance | BTech | CSE |
| 40 | Gaurav Gupta | Ad analysis for forensic purpose | BTech | CSE |
| 41 | Gaurav Gupta | Device Characterization | BTech | CSE |
| 42 | Gaurav Gupta | Authentication using phone sensor data | BTech | CSE |
| 43 | Gaurav Gupta | Time Stamping digital data | BTech | CSE |
| 44 | Gaurav Gupta | Cloud Forensics | BTech | CSE |
| 45 | Gaurav Gupta | Steganography | BTech | CSE |
| 46 | Gaurav Gupta | Digital Forensics | BTech | CSE |
| 47 | Shobha Sundar Ram | Doppler radar for tracking humans | BTech | ECE |
Summer Internship Projects 2012-13
Summer Internship Projects 2012-13
| Project No. | Name of the Project | Brief Description of Project | Faculty Guide | No. of Interns | B.Tech./ M.Tech. | CGPA cutoff (scale of 10) | CSE/ ECE |
|---|---|---|---|---|---|---|---|
| P1 | Pacemaker Antenna | The project aims to analyze, design and propose antenna structure that is resistant to external environment | Mohammad Hashmi | 2 | BTech/MTech | CGPA not less than 7.5 | ECE |
| P2 | Cryptanalysis of hash functions | Implementation and further analysis of some attacks against MD-x/SHA-x hash functions | Somitra Sanadhya | 4 | Any | CGPA not less than 8.0 | CSE |
| P3 | Device characterzation | The objectives of the proposed work include diffrentiating various devices based on paramerters resulting from various connitivity options | Gaurav Gupta | 2 | Any | GPA not less than 7.5 | CSE |
| P4 | Digital Forensic Investigation | The objectives of the proposed work include devcelopment of solutions pertaining to computer frauds and cyber crimes. | Gaurav Gupta | 2 | Any | GPA not less than 7.5 | CSE |
| P5 | Development of Optimization Algorithm | The project aims to develop algorithm for optimization of envelope load-pull calibration process | Mohammad Hashmi | 1 | BTech/MTech/ MSc | CGPA not less than 8.0 | CSE |
| P6 | CardioWatch | Cost effective and easy to use biomedical signal acquisition system development for preventive cardiology. Signals of interest are: Phonocardiogram, Plethysmograph and Pulse oximeter | Sujay Deb | 2 | BTech/MTech | CGPA not less than 8.0 | CSE |
| P7 | Ground water sensor | Simulation transient electromagnetic signal in single/ multi layered earth using FDTD or FEM techniques for design of ground water sensors | Shobha Ram | 1 | BTech/MTech/ MSc | GPA not less than 8.0 | CSE |
| P8 | Doppler radar sensor | Develop a prototype of cheap Doppler radar for sensing humans behind walls | Shobha Ram | 1 | BTech/MTech | GPA not less than 8.0 | CSE |
| P9 | Wireless sensor for indoor localization | Develop a system for tracking humans in indoor environments using wireless sensors | Sanjit Kaul, Shobha Ram | 1 | BTech/MTech | GPA not less than 8.0 | CSE |
| P10 | Analysis of WiFi Frames using TCPdump | Collect and analyze WiFi data using tcpdump to find out problems in enterprise networks | Vinayak | 1 | BTech | GPA not less than 7.5 | CSE |
| P11 | Development of modules for Android-based Healthcare System | Develop modules for ODK-based healthcare system to be deployed in collaboration with Apollo Hospitals | Vinayak | 1 | BTech | GPA not less than 7.5 | CSE |
| P12 | Preparation of SQL Database and PHP Website to Share Location Data | Prepare a website and data distribution system to share location data collected from smartphones | Vinayak | 1 | BTech | GPA not less than 7.5 | CSE |
| P13 | Understanding 802.11n via experiments | Run controlled experiments to better understand performance of 802.11n (WiFi) wireless systems | Sanjit | 1 | Any | GPA not less than 7.5 | CSE |
| P14 | Floating sensor suite | Design and develop a floating sensor suite to collect GPS and sensor data on a river | Sujit | 2 | Any | GPA not less than 7.5 | CSE |
| P15 | Face recognition | Design face recognitin algorithm for disguise variations | Richa Singh | 1 | BTech | GPA not less than 7.5 | CSE |
| P16 | Iris recognition | Emerging covariates of iris recognition | Richa Singh | 1 | BTech | GPA not less than 7.5 | CSE |
| P17 | Fingerprint recognition | Fingerprint recognition for indian population | Mayank Vatsa | 1 | BTech | GPA not less than 7.5 | CSE |
| P18 | Multimodal biometric fusion | Desgin a multimodal biometric fusion algorithm for a large scale biometric system | Mayank Vatsa | 1 | BTech | GPA not less than 7.5 | CSE |
Last updated: 27-02-2025