Akanksha Jain is a Research Associate at the University of Texas at Austin. She received her PhD in Computer Science from The University of Texas in December 2016. In 2009, she received the B.Tech and M. Tech degrees in Computer Science and Engineering from the Indian Institute of Technology Madras. 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. She is a co-author on a synthesis lecture on cache replacement, and her work has been recognized with an Best Paper nomination at MICRO 2013, a MICRO Top Picks Honorable Mention in 2016, and the winning prize in the Cache Replacement Championship on 2017.

Aporva Amarnath is a Ph.D. candidate at the University of Michigan. She is a part of the Circuits and Architecture Design Research (CADRe) group. Her advisor is Prof. Ronald Dreslinski. Her dissertation research aims to build efficient computer architectures and systems for emerging non-Si technologies by developing solutions across the compute stack. Aporva’s research work has been published in top computer architecture and EDA conferences (ISLPED, HPCA, DAC). Her work was nominated for the best paper award at ISLPED 2017.

Emily Ruppel is a PhD candidate in the Electrical and Computer Engineering department at Carnegie Mellon University. She is a member of the Abstract Research Group, lead by Professor Brandon Lucia. Her research focuses on advancing the state of hardware and software systems for batteryless, energy-harvesting devices. Specifically, she works on hardware-software co-design to enable application developers to easily, and correctly, program batteryless devices that will interact directly with their deployed environment. Her work has appeared in ASPLOS and PLDI.