Prof. John Paul Shen
John Paul Shen is a Professor in the ECE Department at Carnegie Mellon University. After spending 15 years in the Silicon Valley leading research labs at Intel and Nokia, he returned to CMU in fall of 2015 and is currently based at the Silicon Valley campus. He was a Nokia Fellow and the founding director of Nokia's North America Research Lab, with research teams in Palo Alto CA, Berkeley CA, Boston MA. Prior to joining Nokia in 2006, he was the Director of the Microarchitecture Research Lab at Intel, with research teams in Santa Clara CA, Portland OR, and Austin TX. Before joining Intel in 2000, He was a Professor in the ECE Department at CMU, where he has supervised a total of 20 PhD students, received multiple teaching awards, and published two books and well over 100 research papers. His current research interest has been strongly influenced by his time in industry and academia, and by Jim Smith.
Prof. James E. Smith
James E. Smith is Adjunct Professor at Carnegie Mellon University Silicon Valley and Professor Emeritus at the University of Wisconsin-Madison. He attended the University of Illinois, receiving his PhD in 1976. He then joined the faculty of the University of Wisconsin-Madison, teaching and conducting research ̶ first in fault-tolerant computing, then in computer architecture. Over the years, he has also worked in industry (Control Data, ACA, Cray Research, Google, and Intel) on a variety of computer research and development projects. Prof. Smith made a number of early contributions to the development of superscalar processors. These include basic mechanisms for dynamic branch prediction and implementing precise traps. He has also studied vector processor architectures and worked on the development of innovative microarchitecture paradigms. He received the 1999 ACM/IEEE Eckert-Mauchly Award for these contributions. For the past seven years, he has been developing neuron-based computing paradigms at home along the Clark Fork near Missoula, Montana.
Harideep Nair (PhD Student)
Harideep Nair graduated from the Indian Institute of Technology, Bombay with a Dual Degree (BTech + MTech) in Electrical Engineering and a minor in Computer Science and Engineering. Right after graduation, he joined CMU in the Fall of 2018 as a PhD student in the ECE Department. Currently he is based at the Silicon Valley campus working with Prof. John Paul Shen and Prof. James E. Smith. His research interests are in modern processor design and more broadly computer architecture. Currently, his research is in the area of Neuromorphic Computing Architecture, exploring brain-inspired paradigms of computing.
Tyler Nuanes (PhD Student)
Born in the evening of New Year’s Eve, my first great achievement in life was snagging my folks a sweet 1992 tax break. After growing up in Oklahoma, Virginia, and sweet home Alabama as an Air Force brat, I attended Rose-Hulman Institute of Technology in the rust belt town Terre Haute, Indiana, where I majored in Engineering Physics, Electrical Engineering, and Optical Engineering. After graduation, I decided the midwest had far too many corn fields, so I chose to move into the desert, relocating to Albuquerque, New Mexico to work on the satellite program at Sandia National Labs. Surrounded by so many experts, I chose to pursue a PhD, eventually arriving at Carnegie Mellon University in the Electrical & Computer Department. Current research focus is on applying Machine Learning to Computational Photography.
Shreyas Chaudhari (PhD Student)
Shreyas Chaudhari joined the Electrical & Computer Engineering (ECE) Dept. at Carnegie Mellon in fall 2019. He is pursuing a PhD under the guidance of Prof. José Moura and Prof. John Shen. Shreyas earned his B.S. in ECE from The Ohio State University, where he conducted research at the ElectroScience Laboratory. His research interests include deep learning, statistical signal processing, and neocortex-inspired learning algorithms.
Keshav Harisrikanth (PhD Student)
Keshav Harisrikanth graduated from the University of Illinois at Urbana-Champaign with an B.S. in Electrical Engineering and a minor in Computer Science, where he conducted research with the ES-CAD group. He then joined the Electrical and Computer Engineering department at Carnegie Mellon in Fall 2020. He is pursuing a PhD advised by Prof. Ken Mai and Prof. John Shen. His research interests broadly include digital circuits, VLSI, and computer architecture, with particular interest in combining the three to create high energy efficiency accelerators for specific applications, such as machine learning.