Keynote Speakers

32^nd IEEE International Conference on High Performance Computing, Data, & Analytics

Keynote Talks

Title: TBA

Speaker: Dr. Pratyush Kumar, Assistant Professor, Computer Science and Engineering, Indian Institute of Technology Madras and Co-Founder Sarvam AI

Time: 18th December, 2025

Abstract:

Speaker Bio: Dr. Pratyush Kumar is the Co-founder of Sarvam and a leading voice in India’s AI ecosystem. A two-time founder, he previously built AI4Bharat and OneFourth Labs, both instrumental in advancing open-source AI for Indian languages. AI conferences and journals. Prior to founding Sarvam, Dr. Kumar was a researcher at Microsoft Research and IBM, where he worked on cutting-edge problems in machine learning and natural language processing. He has published over 89 research papers at top-tier conferences and journals, contributing to both academic and applied advances in the field. Dr. Kumar holds degrees from IIT Bombay and ETH Zurich and continues to build AI that reaches every corner of the country.

Title: High Performance Scientific Computing in India: Past, Present and Future

Speaker: Dr. Jasjeet Singh Bagla, Professor, Department of Physics, Indian Institute of Science Education and Research, Mohali

Time: 19th December, 2025

Abstract: I will review the initiation and evolution of high performance scientific computing in academia in India. I will then go on to discuss the problems being faced by the scientific community and possible solutions as we look to upscale to exa-scale computing and routine use of AI/ML in scientific applications. AI/ML/LLMs are expected to play an important role in scientific computing as we try to overcome the limitations of standard approaches for highly complex problems. In particular I will discuss the factors that often determine effective usage of facilities by the larger community: easy to use setup, maintenance, documentation, support and training. Another factor that should determine the approach we take for the future is access to top of the line facilities. I will try to make a case for possible solutions that take these factors into consideration.

Speaker Bio: Jasjeet Singh Bagla is a physicist whose research interests are in the area of astronomy and cosmology. His higher education is from Delhi University and he did his PhD at the Inter-University Centre for Astronomy and Astrophysics (IUCAA) in Pune. After post-doctoral stints at the University of Cambridge, UK and at the Harvard-Smithsonian Center for Astrophysics, he joined the Harish-Chandra Research Institute, Allahabad as a faculty member. His love for teaching and mentoring young students brought him to IISER Mohali in 2010 and he has been working here since then. He has mentored a number of students and interns.

Jasjeet’s research is in the area of astronomy and cosmology, where he has contributed significantly to the area of cosmological N-Body simulations. These contributions include development of highly optimized algorithms. Some of the algorithms lead to optimal use of cache to ensure scaling to very large particle numbers. At present he is also working on large scale simulations, big data and applications of AI/ML for enhancement of the dynamic range of simulations. Outside academia, he is an independent director of Netweb Technologies.

Jasjeet pioneered the installation and use of cluster computing for high performance scientific computing starting in 2001 at HRI. He went on to set up a series of Linux clusters and also arranged several training programs for parallel computing.

Jasjeet is an associate editor of the journal of science education: Resonance published by the Indian Academy of Sciences. He is also serving on the editorial board of New Astronomy. He has served on various committees of the Astronomical Society of India, Indian Association for General Relativity and Gravitation, and the International Astronomical Union. He has been a key contributor to the decadal vision documents for astronomy published by the Principal Scientific Advisor’s office to the Government of India in 2025, as well as similar efforts by the Astronomical Society of India (in 2025) and the Indian Academy of Sciences (in 2003). He has served as the chairperson of the time allocation committee of the Giant Metrewave Radio Telescope (GMRT) where proposals for observing time are peer reviewed and observatory time is allocated after careful evaluation of proposals.

Title: TBA

Speaker: Dr. Christos Kozyrakis, Professor, Electrical Engineering and Computer Science, Stanford University

Time: 20th December, 2025

Abstract:

Speaker Bio: Christos Kozyrakis is a Professor of Electrical Engineering and Computer Science at Stanford University. His primary research areas are computer architecture and computer systems. His current work focuses on cloud computing, systems for machine learning, and machine learning for systems.

Christos holds a BS degree from the University of Crete and a PhD degree from the University of California at Berkeley. He is a fellow of the ACM and the IEEE. He has received the ACM SIGARCH Maurice Wilkes Award, the ISCA Influential Paper Award, the NSF Career Award, the Okawa Foundation Research Grant, and faculty awards by IBM, Microsoft, and Google.

Christos leads the MAST research group. He is also the faculty director of the Stanford Platform Lab.

HiPC 2025 is the 32^st edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. It will be an in-person event in Hyderabad, India, from December 17 to December 20, 2025.

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