Amanda Randles is the Alfred Winborne Mordecai and Victoria Stover Mordecai Associate Professor of Biomedical Sciences and Biomedical Engineering at Duke University. Focusing on the intersection of high-performance computing, machine learning, and personalized modeling, her group is developing new methods to aid in diagnosing and treating diseases ranging from cardiovascular disease to cancer. She has received the ACM Prize in Computing, the NIH Pioneer Award, the NSF CAREER Award, and the ACM Grace Hopper Award. She is a Fellow of the National Academy of Inventors. Amanda received her Ph.D. in Applied Physics from Harvard University. Prior to graduate school, she worked as a software engineer at IBM on the Blue Gene supercomputing team. She has contributed to over 100 peer-reviewed papers, 121 granted US patents, and has 75 pending patent applications.

Anastasia Ailamaki is a Professor of Computer Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland and the co-founder of RAW Labs SA, a Swiss company developing real-time analytics infrastructures for heterogeneous big data. Her research interests are in data-intensive systems and applications, and in particular:

(a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and

(b) in automating data management to support computationally- demanding, data-intensive scientific applications.

She has received an ERC Consolidator Award (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), an NSF CAREER award (2002), and ten best-paper awards in database, storage, and computer architecture conferences. She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow, an IEEE fellow, the Laureate for the 2018 Nemitsas Prize in Computer Science, and an elected member of the Swiss National Research Council. She has served as a CRA-W mentor, and is a member of the Expert Network of the World Economic Forum.

Dame Wendy Hall, DBE, FRS, FREng is Regius Professor of Computer Science, Associate Vice President (International Engagement) and is Director of the Web Science Institute at the University of Southampton. She became a Dame Commander of the British Empire in the 2009 UK New Year’s Honours list and is a Fellow of the Royal Society, the Royal Academy of Engineering and the ACM. Dame Wendy was co-Chair of the UK government’s AI Review, which was published in October 2017 and a member of the AI Council. She is currently the co-Chair of the ACM Publications Board and Editor-in-Chief of Royal Society Open Science. She is an advisor to the UK government and many other governments and companies around the world and in 2023 was appointed to the United Nations high-level advisory body on artificial intelligence. Her latest book, Four Internets, co-written with Kieron O’Hara, was published by OUP in 2021.

www.damewendydbe.com

Prof. Debdeep Mukhopadhyay is an Institute Chair Professor at the Department of CSE, IIT Kharagpur, India. At IIT Kharagpur he initiated Secured Embedded Architecture Laboratory (SEAL), focusing on Hardware-Security. Prior to that he was a visiting Professor in the school of Computer Engineering, NYU Abu Dhabi, and had visiting positions at NTU Singapore, NYU Shanghai, and Brooklyn. He was also an Assistant Professor at IIT Madras, and held an adjunct position at IIT Bhuvaneshwar. He holds a Ph.D, M.S., and a B.Tech from IIT Kharagpur. His research interests are on the topics of Cryptographic Engineering, Micro-architectural security and Hardware-Security. Recently he is intrigued by adversarial attacks on machine-learning, and encrypted computations, which includes homomorphic computations and searchable encryptions.

Dr Mukhopadhyay has published more than 250 papers in peer reviewed conferences and journals, and is in the editorial boards and program committees of several top journals and conferences. Currently, he is the Editor-in-Chief of the International Association of Cryptologic Research (IACR)-Transactions in Cryptographic Hardware and Embedded Systems (TCHES) and is a senior Editor of IEEE Transactions of Information Forensics and Security. He is a member of the IEEE Hardware Security Standards Committee.

Debdeep is the recipient of the prestigious Shanti Swarup Bhatnagar Award 2021 for Science and Technology (highest science honor in India below the age of 45) for his radical contributions to fault attacks, micro-architectural security and crypto-engineering, that holistically bridges the spectrum from core mathematical foundations to practical attack scenarios. He is a Fellow of the National Science Academy (FNA), the National Academy of Engineers (FNAE), Fellow of the Institute of Electrical and Electronics Engineers (FIEEE), and Fellow of the Asia-Pacific Artificial Intelligence Association (FAAIA) for contributions to design and analysis of hardware security primitives and Information Security. He was a fellow of C3iHub (Cyber Security and Cyber Security for Cyber-Physical Systems) Innovation Hub of IIT Kanpur, and has been enlisted in Asia’s most outstanding researchers compiled by Asian Scientist Magazine. He was awarded the Qualcomm Faculty Award 2022, Khosla National Award from IIT Roorkee 2021, DST Swarnajayanti Fellowship 2015-16, INSA Young Scientist award, INAE Young Engineer award, and Associateship for the Indian Academy of Sciences.

Siddharth Barman is an Associate Professor at the Department of Computer Science and Automation in the Indian Institute of Science (IISc). Before joining IISc, he was a post-doctoral scholar at Caltech and obtained his Ph.D. in Computer Science from the University of Wisconsin-Madison.

Siddharth is the recipient of the ACM India Early Career Researcher (ECR) 2023 Award. He is also an associate of the Indian Academy of Sciences (IASc).

Siddharth’s research lies at the interface of Computer Science and Microeconomics. His current research focuses on algorithmic aspects of fair division.

Sunita Sarawagi researches in the fields of databases, machine learning, and applied NLP. She is Institute Chair Professor in the Computer Science Department and was the founding head of the Center for AI at IIT Bombay. She got her PhD in databases from the University of California at Berkeley and a bachelor’s degree from IIT Kharagpur. She has also worked at Google Research, CMU, and IBM Almaden Research Center. She is an ACM fellow, was awarded the Infosys Prize in 2019 for Engineering and Computer Science, and the distinguished Alumnus award from IIT Kharagpur. She has several publications including notable paper awards at ACM SIGMOD, ICDM, and NeuRIPS conferences.