Evey Liu recently finished her undergraduate study at the University of Waterloo for Computer Engineering. She will begin graduate school at the University of Toronto with supervisor Natalie Enright Jerger in January 2019. She is passionate about generic computer architecture and is open to explore different specializations within the field.

I am a PhD candidate at the University of Illinois at Urbana-Champaign. My advisor is Prof Sarita Adve. My research interests include Error-Efficient Computing, Approximate Computing, Hardware Resiliency and Software Testing. The overarching theme of my dissertation work is enabling reliable, low-cost and efficient computing by allowing controlled errors in the system. My work aims to explore such opportunities in emerging workloads and build an ecosystem to formalize and automate the application of error-efficient computing techniques. I am among the young researchers selected to participate in the 2018 Heidelberg Laureate Forum.

Before joining UIUC, I was a CPU/Silicon validation engineer at Intel for five years, where I won a divisional award for key contributions in validating new industry standard CPU features. Prior to that I worked for 1.5 years at Qualcomm on the architectural verification of the Snapdragon processor. I completed my MS in ECE from North Carolina State University. My undergraduate degree, in Electrical Engineering, is from the University of Madras in India.

Aninda Manocha received her Ph.D student in Computer Science at Princeton University. She was advised by Professor Margaret Martonosi in the broad area of Computer Architecture. More specifically, she worked on the design of reconfigurable hardware to accelerate a variety of software applications with a focus on the application and compiler interface. She also worked on memory hierarchy designs and operating system techniques tailored to irregular, memory-intensive graph applications. She received her B.S. in Electrical and Computer Engineering as well as Computer Science from Duke University in 2018. She now works at Rivos.

Reetu Das is an Assistant Professor at University of Michigan. Prior to this, she was a research scientist at Intel Labs, and the researcher-in-residence for the Center for Future Architectures Research. She received her PhD in Computer Science and Engineering from Pennsylvania State University, University Park. Some of her recent projects include in-memory architectures, fine-grain heterogeneous core architectures for mobile systems, and low-power scalable interconnects for kilo-core processors. Her research program has been funded by National Science Foundation, the Center for Future Architectures Research (C-FAR), Semiconductor Research Corporation and Intel Corporation. Reetu is an expert in computer architecture. She has authored over 45 papers, filed 7 patents and served on over 20 technical program committees. She has served as a track chair for Design Automation Conference for two consecutive years. Her research has been recognized by several awards. She has received outstanding research and teaching assistantship awards at Pennsylvania State University, an IEEE Top Picks award, an NSF CAREER award, CRA-W Borg Early Career Award, IEEE/ACM MICRO Hall of Fame award and was recently inducted to ISCA Hall of Fame. Her recent work on in-memory design named Compute Caches received the best Demo award in C-FAR and was selected from 50 projects from leading University research groups. She also serves as the CEO of a precision medicine start-up, Sequal Inc.