Sonal is a assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Raipur. Prior NIT Raipur, she was postdoctoral fellow at Indian Institute of Technology (IIT) Guwahati, India from March 2018-2020. She received her M.Tech and PhD degree from the Malaviya National Institute of Technology (MNIT) Jaipur, India. Her PhD dissertation was on Exploration of Efficient Manycore Multiple Networks-on-Chip Architectures. Her research interests lie in improving energy efficiency via power-gating for multiple networks-on-chip (NoC) architectures and self-learning NoC architectures. Her thesis work awarded travel grant in DATE 2019. She is the recipient of the best paper award by TCVLSI in IEEE-SES 2018. Her PhD work is published in reputed conferences VDAT 2015, VLSI Design 2016, DAC 2019 and journals. She has received multiple recognitions, including PhD Fellowship by the Ministry of Human Resource and Development (MHRD) Govt. of India and Institute Postdoctoral Fellowship by Indian Institute of Technology Guwahati.

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.

Diana Marculescu is Department Chair, Cockrell Family Chair for Engineering Leadership #5, and Professor, Motorola Regents Chair in Electrical and Computer Engineering #2, at the University of Texas at Austin.

Prior to joining UT Austin in December 2019, she was the David Edward Schramm Professor of Electrical and Computer Engineering, the Founding Director of the College of Engineering Center for Faculty Success (2015-2019) and has served as Associate Department Head for Academic Affairs in Electrical and Computer Engineering (2014-2018), all at Carnegie Mellon University.

She received the Dipl.Ing. degree in computer science from the Polytechnic University of Bucharest, Bucharest, Romania (1991), and the Ph.D. degree in computer engineering from the University of Southern California, Los Angeles, CA (1998). Her research interests include energy- and reliability-aware computing, hardware aware machine learning, and computing for sustainability and natural science applications.

Diana was a recipient of the National Science Foundation Faculty Career Award (2000-2004), the ACM SIGDA Technical Leadership Award (2003), the Carnegie Institute of Technology George Tallman Ladd Research Award (2004), and several best paper awards. She was an IEEE Circuits and Systems Society Distinguished Lecturer (2004-2005) and the Chair of the Association for Computing Machinery (ACM) Special Interest Group on Design Automation (2005-2009). Diana chaired several conferences and symposia in her area and is currently an Associate Editor for IEEE Transactions on Computers. She was selected as an ELATE Fellow (2013-2014), and is the recipient of an Australian Research Council Future Fellowship (2013-2017), the Marie R. Pistilli Women in EDA Achievement Award (2014), and the Barbara Lazarus Award from Carnegie Mellon University (2018). Diana is a Fellow of ACM and IEEE.

I work on computer systems for large-scale applications such as cloud computing services, data analytics, and machine learning. The goal of my research is to improve the performance and resource efficiency of cloud computing while making it easier for users to deploy and manage their applications. My research interests span operating systems, computer architecture, and their intersection with machine learning.