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.

Akanksha Jain received her PhD in Computer Science from The University of Texas at Austin in December 2016 and is currently a Researcher at Arm Research. Her research interests are in computer architecture, with a particular focus on the memory system and on using machine learning techniques to improve the design of memory system optimizations. Her work has been recognized with a Best Paper Nomination at MICRO 2013, a Top Picks Honorable Mention at ISCA 2016, and the first place award at the Cache Replacement Championship in 2017.

Charu Kalra is a PhD student in the Computer Engineering Department at Northeastern University. She is part of the Northeastern University Computer Architecture Research (NUCAR) group under the direction of Prof. David Kaeli. Her research interests include GPU compilers, software reliability, machine learning, workload characterization, and performance evaluation of GPU systems. Her PhD thesis focuses on design and evaluation of compiler-based techniques to predict and improve reliability of GPU applications. In 2014, Charu was featured on NVIDIA's 'Women Who CUDA' list. She has also pursued internships at AMD and AMD Research in the past.

Amrita Mazumdar is a researcher at NVIDIA Research, working on topics at the intersection of graphics and video with computer systems and architecture. She received her PhD in Computer Science in May 2020 from the University of Washington, where she was advised by Luis Ceze and Mark Oskin. Her research interests are in computer systems and architecture for emerging visual computing workloads (e.g., VR and video analytics). Mazumdar’s work has resulted in performance improvements for custom hardware accelerators, storage systems, and data management systems. She received her MS (2017) from the University of Washington, and her BS (2014) from Columbia University. Prior to joining NVIDIA, Mazumdar founded a startup based on her PhD work, and has worked at Facebook, Oculus Research and IBM, as well as in collaboration with Google Research.