Natalie Enright Jerger is the Canada Research Chair in Computer Architecture and a Professor of Electrical and Computer Engineering at the University of Toronto. She is currently serving as the Director of the Division of Engineering Scinece at the University of Toronto. Prior to joining the University of Toronto, she received her MSEE and PhD from the University of Wisconsin-Madison in 2004 and 2008, respectively. She received her Bachelor's degree from Purdue University in 2002. She is a recipient of the Ontario Ministry of Research and Innovation Early Researcher Award in 2012, the 2014 Ontario Professional Engineers Young Engineer Medal recipient and the 2015 Borg Early Career Award winner. She served as the program co-chair of the 7th Network-on-Chip Symposium, as the program chair of the 20th International Symposium on High Performance Computer Architecture and as program co-chair for the International Conference on Architectural Support for Programming Languages and Operating Systems in 2023. She is currently serving as the ACM SIGARCH Chair. Her current research explores on-chip networks, approximate computing, IoT architectures and machine learning acceleration. She is also passionate about increasing the representation of women in computing, particular in computer architecture. She is the former chair of the organizing committee for the Women in Computer Architecture group (WICARCH). In 2017, she co-authored the second edition of the Computer Architecture Synthesis Lecture on On-Chip Networks with Li-Shiuan Peh and Tushar Krishna. Her research has been supported by NSERC, Intel, CFI, AMD and Qualcomm.

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.

I am a faculty at Penn State Behrend where I teach Computer Architecture and Programming with C++/MATLAB. I am interested in optimizing current architecture for emerging technologies such as artificial intelligence and deep learning.

Samira Khan is an assistant professor at the University of Virginia. Her research focuses on Computer Architecture and Computer systems, especially building new systems by rethinking the traditional abstractions and redesigning system layers to adopt new technologies and enable future applications. Her group, Shiftlab thrives for "Paradigm Shift", and named after Thomas Kuhn's famous book "The Structure of Scientific Revolutions".