Amna Shahab attended The University of Edinburgh for her doctoral studies and was advised by Boris Grot. Her research interests broadly lie in computer architecture and more specifically on memory system design for emerging datacenter workloads. She also has a passion for teaching and hopes to learn how to effectively translate it into a passion for learning from students.

Vivienne Sze is an Associate Professor at MIT in the Electrical Engineering and Computer Science Department. Her research interests include energy-aware signal processing algorithms, and low-power circuit and system design for portable multimedia applications, including computer vision, deep learning, autonomous navigation, and video coding. Prior to joining MIT, she was a Member of Technical Staff in the R&D Center at TI, where she designed low-power algorithms and architectures for video coding. She also represented TI in the JCT-VC committee during the development of High Efficiency Video Coding (HEVC), which received a Primetime Emmy Engineering Award. She is a co-editor of the book entitled “High Efficiency Video Coding (HEVC): Algorithms and Architectures” (Springer, 2014).

Prof. Sze is a recipient or co-recipient of the 2011 Jin-Au Kong Outstanding Doctoral Thesis Prize in Electrical Engineering at MIT, the 2017 CICC Outstanding Invited Paper Award, the 2017 Qualcomm Faculty Award, the 2016 IEEE Micro Top Picks Award, the 2016 Google Faculty Research Award, the 2016 AFOSR Young Investigator Award, the 2016 3M Non-Tenured Faculty Award, the 2014 DARPA Young Faculty Award, the 2008 A-SSCC Outstanding Design Award and the 2007 DAC/ISSCC Student Design Contest Award.

Angeles G. Navarro received her PhD in Computer Science from the University of Malaga (Spain) in 2000. She is a Professor in the Department of Computer Architecture at the University of Malaga. She has been a Research Visiting Scholar in the University of Illinois at Urbana-Champaign, the Technical University of Munich, the EPCC at the University of Edinburgh, the University of Bristol, and a Research Visitor in IBM T.J. Watson Research Center at New York and in Cray Inc at Seattle. She is the author or co-author of more than 80 papers and has served as a program committee member for several High Performance Computing related conferences. Her research interests are in parallel programming models and compilation techniques for heterogeneous and reconfigurable architectures.

Dr. Navarro has been involved in many initiatives to promote women in Computer Science. She is the co-founder of WSARTECO (Women in SARTECO), a community that is part of the Spanish Computer Architecture Scientific Society, which encourages junior and senior women working in the area to increase visibility and to develop a supporting network.

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.