Sanjit K. Kaul received the B.Tech. degree in electronics and communications engineering from the Birla Institute of Technology, Mesra, in 2000 and the Ph.D. degree in electrical and computer engineering from Rutgers University in 2011. Year 2000 onwards, he worked in the telecommunications industry for four years. He was a Research Assistant with the Wireless Information Networks Laboratory from 2005 to 2011. He is currently an Professor with IIIT-Delhi. He works on problems in wireless systems research.

Sanat holds Ph.D. (2017) in space vehicle navigation from the University of New South Wales, M. Tech (2012) in Aerospace Engineering from IIT Bombay and B.E. (2010) in Instrumentation and Electronics Engineering from Jadavpur University. Sanat's research interests include space vehicle guidance, navigation and control, orbit determination, GNSS-based navigation, non-linear dynamics and estimation algorithms. Sanat was associated with the Australian Centre for Space Engineering Research, where he did his PhD research.

Sambuddho Chakravarty completed his Ph.D. in Computer Science from Columbia University in 2014. He was advised by Prof. Angelos D. Keromytis. His research focuses on Network Anonymity and Privacy, Network Surveillance and Anti-Censorship and Network and Distributed Systems Security in general. During his Ph.D. he studied novel practical traffic analysis vulnerabilities of popular anonymity networks like Tor. He has served an intern at Telcordia Applied Research, New Jersey and Force 10 Networks, California.

Saket Anand is an Associate Professor at Indraprastha Institute of Information Technology (IIIT), Delhi. He completed his PhD in Electrical and Computer Engineering from Rutgers University in 2013. He was part of the Robust Image Understanding Lab at Rutgers and his current research interests are design of robust statistical methods for heavily corrupted data, 3D scene reconstruction techniques and semi-supervised clustering methods. From 2007 to 2010, he worked as a research engineer at Read-Ink Technologies, Bangalore, developing algorithms for handwriting recognition.

Dr. Rinku Shah earned her Ph.D. degree in Computer Science from IIT Bombay in February 2021. She has worked with Prof. Mythili Vutukuru and Prof. Purushottam Kulkarni at IIT Bombay. During her Ph.D., she interned at VMware for six months towards defining and solving capacity-aware load balancing in data center networks. After her Ph.D., she has spent seven months as a Project Research Scientist on a Huawei project at IIT Bombay with Prof. Umesh Bellur.

Dr. Richa Gupta completed her Ph.D. from IIT Delhi in 2020. She holds a post-graduate degree in Industrial Design (M.Des.) from IDC, IIT Bombay (2013) and completed B.Tech. in Mechanical Engineering from IIIT Jabalpur (2011). She has done collaborative research at the School of Informatics and Computing, IUPU Indianapolis, USA (2017-18) and TU Darmstadt, Germany (2012). She was also invited at Nagasaki University as Visiting Professor in 2024.

Dr. Ranjitha Prasad obtained her Ph.D. from Indian Institute of Science in 2015. Her experience is in the general areas of signal processing, Bayesian statistics, and more recently, machine learning and deep neural networks. She has been a postdoctoral researcher at Nanyang Technological University and National University of Singapore, Singapore, and a scientist at TCS Innovation Labs, Delhi. She is the recipient of the Best Ph.D.

Dr. Ram Krishna Ghosh obtained his Ph.D. from the Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore in 2013. He has experience in computational nanoelectronics, particularly in the area of 'materials-devices co-design' of next-generation CMOS and beyond CMOS computing. He has worked as a post-doctoral fellow at the Pennsylvania State University and the University of Notre Dame, USA. He has been a DST Inspire Faculty at the Jawaharlal Nehru University, New Delhi, before joining IIIT-Delhi. He is the recipient of the Best Ph.D.

Rajiv Ratn Shah received his Ph.D. in computer science from the National University of Singapore, Singapore. Prior completing his Ph.D., he received his M.Tech. and MCA degrees in computer applications from the Delhi Technological University, Delhi and Jawaharlal Nehru University, Delhi, respectively. He has also received his BSc in Mathematics (Honors) from the Banaras Hindu University, Varanasi.

Prof. Rajiv Raman is a faculty at IIIT-Delhi since 2012. His primary area of research is algorithms. He is interested in the design and analysis of algorithms for problems in various domains such as scheduling, resource allocation, graph colouring and geometry. He also has an interest in the development of efficient practical heuristics for real-life problems. He obtained his PhD degree in Computer Science from the University of Iowa in 2007.