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Past Summer Internships Offered @ IIITD

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

  1. The details of the project openings are listed below.
  2. Click Here to Apply. (Closed Now) Gif Image
  3. Login with your google account
  4. Fill the registration form. If you want hostel select the checkbox accordingly.
  5. For hostel booking details please click here
  6. To apply for any project just click the apply button
  7. 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.
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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

  1. The details of the project openings are listed below.
  2. Click Here to Apply.
  3. Login with your google account
  4. Fill the registration form. If you want hostel select the checkbox accordingly.
  5. For hostel booking details please click here
  6. To apply for any project just click the apply button
  7. 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

  1. The details of the project openings are listed below.
  2. Click on Apply Here (From 24th Feb 2021)
  3. Login with your google account
  4. Fill the registration form. If you want hostel select the checkbox accordingly.
  5. For hostel booking details please click here
  6. To apply for any project just click the apply button
  7. Done
  8. 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.

The result has been declared

Process to apply for internship

  1. The details of the project openings are listed below.
  2. Click on Apply Here (From 1st March 2020)
  3. Login with your google account
  4. Fill the registration form. If you want hostel select the checkbox accordingly.
  5. For hostel booking details please click here
  6. To apply for any project just click the apply button
  7. Done
  8. 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

  1. The details of the project openings are listed below.
  2. Click on Apply Here
  3. Login with your google account
  4. Fill the registration form. If you want hostel select the checkbox accordingly.
  5. For hostel booking details please click here
  6. To apply for any project just click the apply button
  7. Done
  8. 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: 29-02-2024