Mitali is a PhD student at Advanced Multicore Systems (AMS) lab, IIIT Delhi. She holds a gold medal in both Bachelor’s and Master's degrees. Her research interests include heterogeneous systems architectures and hardware security. She also works on designing efficient communication platforms for heterogeneous multi-core systems. She is currently focusing on design space optimization and security analysis of accelerator-rich heterogeneous system-on-chips (ArSoCs). Her recent works on energy-optimization of ArSoCs and SoC security were published in premier journals like TODAES'20 and TETC'21. She has published 1 book chapter and contributed to research works published in conferences including ASAP'18, ISCAS'18, ISVLSI'18, IGSC'18, ISCAS'20. She has experience of almost a year in academia as a lecturer and a research associate.

Sandhya Dwarkadas is the Walter N. Munster Professor and Chair of Computer Science at the University of Virginia. Previously, she was the Albert Arendt Hopeman Professor of Engineering at the University of Rochester, where she was professor of computer science with a secondary appointment in electrical and computer engineering, and also served as department chair for 6 years. She received the 2020 Edmund A. Hajim Outstanding Faculty Award from the University of Rochester. She received her Bachelor’s degree from the Indian Institute of Technology, Madras, India, and her M.S. and Ph.D. from Rice University. She is a fellow of the ACM and IEEE. She was co-chair of the CRA-WP board and steering committee from 2019-2022 and has been on the CRA-WP board since 2010.
Her areas of research interest include parallel and distributed computing, computer architecture, and the interaction and interface between the compiler, runtime/operating system, and underlying architecture. She has made fundamental contributions to the design and implementation of shared memory both in hardware and in software, and to hardware and software energy- and resource-aware configurability.

Martha Kim is an Associate Professor of Computer Science at Columbia University where she leads the ARCADE Lab. Kim's research interests are in computer architecture, parallel programming, compilers, and low-power computing. Her work has explored low-cost chip manufacturing systems, reconfigurable communication networks, and fine-grained parallel application profiling techniques. Her current research focuses on hardware and software techniques to improve the usability of hardware accelerators as well as data-centric accelerator design. Kim holds a PhD in Computer Science and Engineering from the University of Washington and a bachelors in Computer Science from Harvard University. She is the recipient of the 2013 Rodriguez Family Award, the 2015 Edward and Carole Kim Faculty Involvement Award, a 2013 NSF CAREER award, and the 2016 Anita Borg Early Career Award.