Dr. Satish Kumar Pandey earned his Ph.D. in Pure Mathematics in 2018 from University of Waterloo under the supervision of Vern Paulsen. He obtained his MS in Applied Mathematics from University of Houston in 2012. Prior to joining IIIT-Delhi, he was a PBC postdoctoral research fellow in the Faculty of Mathematics at Technion-Israel Institute of Technology (2018-21), working with Orr Shalit. His research interests lie primarily in functional analysis.

Dr. Sarthok Sircar was a Lecturer- School of Mathematical Sciences at the Adelaide University-Australia. He has completed his PhD in 2009 in Applied Mathematics from University of South Carolina followed by postdoctoral fellowships in University of Colorado and University of Utah in USA. In the past 12 years of his scholastic work in the field of Applied Mathematics, he has applied multi-scale modeling, numerical simulations and experimental design to solve complex problems viz.

He has obtained his Ph.D. in Mathematics from The Pennsylvania State University in 2013, and an M.S. in Mathematics from Marquette University in 2008. His area of research is Mathematical Logic. More specifically, his area of interest is in non-classical logics, such as intuitionistic logic and paraconsistent logics. His Ph.D. dissertation links intuitionistic logic with computability theory via a model for higher-order intuitionistic logic that is based on the Turing degrees.

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 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 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).

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.