Vivek Kumar works in the area of High Performance Computing. He received his Ph.D. from Australian National University and B.E. from Visvesvaraya Technological University. His Ph.D. research focused on using managed runtime techniques for improving the performance and productivity of parallel programming on multicore architectures. Prior to Ph.D., he has worked for nearly 6 years in research and development positions in HPC areas at technology firms such as CDAC R&D and IBM Systems and Technology Labs.

Dr. Vivek Ashok Bohara received the Ph.D. degree from Nanyang Technological University, Singapore, in 2011. From 2011 to 2013, he was a Postdoctoral Researcher (Marie Curie fellowship) in ESIEE Paris, University Paris-East where he was actively involved in designing and implementing critical blocks for wideband RF transmitters. Specifically, he proposed numerous green communication techniques to reduce power consumption and increase efficiency of nonlinear high power amplifiers used in RF transmitters.

Prior to this he held Oxford-Emirates data science fellowship at Mathematical Institute, University of Oxford (10/2018-12/2020), position of Academic Advisor at Kellogg college Oxford (7/2019-12/2020) and SNSF funded postdoctoral position at IDIAP research Institute, Switzerland (2/2018-10/2018). He received his TCS Innovation Labs funded Ph.D from School of Computing and Electrical engineering, IIT Mandi, India in 2018; following M.E and B.E in electronics and communication engineering from Panjab University Chandigarh, India in 2013 and 2011, respectively.

I am a faculty in IIIT-Delhi. I received my Ph.D. in Computer Science and Engineering from the Department of Computer Science and Engineering at IIT Delhi in 2009. Before pursuing Ph.D., I completed my M.Tech. in Information Systems from the Department of Computer Science and Engineering at NSIT Delhi in 2003. I have many publications in reputed conferences and referred journals. I have a couple of Projects from DST, India and Deity, India on problems related to Privacy in Location-based Services and Digitized Document Fraud Detection, respectively.

Ph.D. in Computational systems biology, Helsinki University of Technology (now Aalto), Finland. After completing his M. Tech. in computer technology from IIT Delhi, he started working with computational problems of analysing large image datasets from cryoEM and statistical analysis of Genomic data. During his Ph.D., he solved the first and highest resolution (so far) structure of LDL (bad cholesterol) in native state at human body temperature.

Ratnadeep Suri (Ratan), Assistant Professor, SSH, IIIT-Delhi, has completed his Post Doctoral research at the Nanyang Technological University, Singapore in 2016. Earlier he earned his PhD from The Indiana Media School, Indiana University in 2013, with a Major in Communication and a Minor in Information Science. He also has an MA from Western Michigan University, Michigan, and an MA from University of Hyderabad, India. His research examines the effects of technology use in knowledge work contexts, health contexts, information seeking, and the cognition of information.

Raghava Mutharaju is an Associate Professor in the Computer Science and Engineering department of IIIT-Delhi, India and leads the Knowledgeable Computing and Reasoning (KRaCR; pronounced as cracker) Lab. He got his Ph.D. in Computer Science and Engineering from Wright State University, Dayton, OH, USA, in 2016. He has worked in Industry research labs such as GE Research, IBM Research, Bell Labs, and Xerox Research. His research interest is in Semantic Web and in general in Knowledge Representation and Reasoning.

Dr. Tavpritesh Sethi is an Associate Professor in the Department of Computational Biology and the founding head of the Center of Excellence in Healthcare at IIIT-Delhi. His area of expertise lies at the interface of computer science and healthcare. Dr. Sethi received his M.B.B.S from Government Medical College, Amritsar, and Ph.D. from CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.

Syamantak obtained his Ph.D. from IIT Delhi. He spent 9 months after that as a visiting postdoc at the Max Planck Institute for Informatik, Germany and subsequently another year as a postdoc at the University of Bremen, Germany. His primary research interests lie at the intersection of theoretical computer science and discrete optimization. In particular, he is currently interested in designing approximation and online algorithms for various kinds of combinatorial optimization problems, for example, scheduling, network design.