Invited Speakers
Supratik Mukhopadhyay
Louisiana State University
Bio
Supratik Mukhopadhyay is a Professor in the Department of Computer Science and Engineering at Louisiana State University (LSU). His research spans multiple areas including Artificial Intelligence, Machine Learning, Formal Methods, and Computational Biology. He has made significant contributions to applying AI and formal verification in diverse domains such as cybersecurity, healthcare, smart infrastructure, and environmental monitoring.
Prior to joining LSU, Dr. Mukhopadhyay held research and faculty positions at prestigious institutions and has collaborated extensively with national laboratories and industry. He has published over 100 peer-reviewed articles in top-tier journals and conferences and has received several federal research grants from agencies including NSF, DOE, and NASA.
Supratik received his Ph.D. in Computer Science from the Indian Statistical Institute. He is actively involved in interdisciplinary research and innovation and serves on editorial boards and program committees of leading conferences in AI and systems.
Suparna Bhattacharya
HPE Fellow at AI Research Lab, Hewlett Packard Labs
Bio
Suparna Bhattacharya is an HPE Fellow in the AI research lab at Hewlett Packard Labs where she currently focuses on data centric trustworthy AI. She has 30+ years of experience in systems software development and research (10 years at HPE preceded by 21 years at IBM) including several enjoyable years of open source contributions to the Linux kernel. Over the last decade Suparna has developed a passion for blending insights from diverse technical domains in innovations that span technology boundaries e.g. rethinking systems software stacks in the era of AI and IoT. For example, during her stint in HPE Storage, she advanced the use of analytics aware optimization and persistent memory optimizations in storage and hyper-converged systems for containers, artificial intelligence/machine learning and IoT edge to core data services. Suparna is an IEEE Fellow, a Fellow of the India National Academy of Engineering, an ACM India eminent speaker and has served on program committees for ASPLOS, OOPSLA, MASCOTS, ECOOP, HotStorage and USENIX FAST. She co-authored a book on Resource Proportional Software Design for Emerging Systems, (with Doug Voigt and Prof K. Gopinath) published by CRC Press (2020). Suparna holds a B.Tech from IIT Kharagpur (1993) and a (late-in-life) PhD with a best thesis award from the Indian Institute of Science (2013).
- 40 patents filed (30 granted), 32 peer reviewed publications, 70+ talks/panels
- IEEE Fellow class of 2022
- Fellow of the Indian National Academy of Engineering (INAE) (elected 2020)
- Book on “Resource Proportional Software Design for Emerging Systems”, CRC press, 2020
- Open source contributor to the Linux kernel from 2000-2007. Invited to the international Linux Kernel Summit* for 6 consecutive years.
- 20 internal and external awards, incl. IEEE India Council Woman Technologist of the year 2020, Zinnov Next Generation Women Leaders Award 2019, HPE Women’s Excellence Award 2017 and 2022, IBM Outstanding Technical Achievement Award, IIT Kharagpur Distinguished Alumnus 2023
- First technologist from IBM India to receive a corporate level promotion in the technical career path (2006). Elected to IBM Academy of Technology. Founding chairperson of IBM India Technical Experts council.
- ACM India eminent speaker. Served on technical program committees for ASPLOS, OOPSLA, MASCOTS, ECOOP, USENIX FAST and HotStorage.
- Deep expertise in operating systems, storage systems incl. filesystems, persistent memory technologies, hyper-converged, containers, cross-layer co-design for emerging apps, e.g. ML/AI, IoT
Bio
Hemangee K. Kapoor is a Professor (HAG) in the Department of Computer Science & Engineering at the Indian Institute of Technology Guwahati. She serves as Associate Dean for Students & Alumni Relations and plays an active role on the ACM Diversity, Equity & Inclusion Council. Her research focuses on multiprocessor computer architecture, emerging non-volatile memory (NVM) technologies, near-data processing, power-aware computing, and accelerators for neural networks
Dr. Kapoor earned her Ph.D. in Computer Science from London South Bank University after completing her M.Tech at IIT Bombay and B.E. at the Government College of Engineering, Pune. She has published extensively—authored over 100 journal and conference papers—and successfully led numerous sponsored projects, including those funded by DST-ANRF and Intel, aimed at improving NVM reliability and accelerator efficiency.
In 2024, she was honoured with the prestigious ACM India Outstanding Contributions in Computing by a Woman Award for her pioneering work in NVM technologies and her leadership in mentoring women researchers She has also held leadership roles as Vice President of ACM India (2020–2022), and as Associate Dean and technical program co-chair at international symposiums
Rajesh Sharma
Plaksha University, India
Bio
Rajesh Sharma is working as Professor of Computer Science and AI. Earlier, Rajesh worked as Associate Professor (from Jan 2022 – Jan 2025), and lead the Computational Social Science Group (https://css.cs.ut.ee/) at the Institute of Computer Science, University of Tartu (UT), Estonia. Rajesh also holds adjunct faculty positions at IIT Ropar, IIIT Delhi, University of Tartu, Estonia, Lakehead University, Canada, and, Kyiv School of Economics, Ukraine. His group works on problems related to understanding societal issues such as misinformation, hate speech, segregation, mental health, users’ behavior using digital traces such as financial transactions, mobile call data records and more importantly social media data. Group often applies techniques from AI, NLP and most importantly network science/social network analysis.
Earlier, Rajesh joined University of Tartu in August 2017 and worked as a senior researcher till December 2020. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen’s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in the IT industry for about 2.5 years after completing his Master’s from Indian Institute of Technology (IIT), Roorkee, India.
Bio
Kalika Bali is a Senior Principal Researcher at Microsoft Research India, focusing on AI, Natural Language Processing (NLP), speech technology, and building inclusive tech for low-resource language communities. Over the past two decades, she has championed multilingual and multicultural language technologies, with particular emphasis on code-mixing, gender bias in data, and enabling access for marginalized language speakers.
Currently, she leads Project VeLLM (UniVersal Empowerment with Large Language Models), an interdisciplinary effort to ensure Large Language Models serve all languages and cultures equitably. Her work also explores the intersection of gender and tech, seeking to mitigate societal biases in foundational AI systems.
Kalika’s commitment to inclusive AI has earned her recognition on the TIME100 AI list in 2023, highlighting her efforts in creating “gender intentional” datasets across major Indian languages and advancing code-mixing capabilities for multilingual users