Haitong Li, Ph.D.Assistant Professor
haitongli [at] purdue [.] edu
Haitong Li is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. He obtained his Ph.D. in Electrical Engineering from Stanford University in 2022. He was a visiting researcher with Silicon Research Group at Meta (formerly Facebook) Reality Labs. Dr. Li’s research interests are in new memory device technologies and circuit designs for energy-efficient computing, spanning experimental, design, and 3D system integration aspects for enabling nanotechnology-inspired machine intelligence. He has published more than 50 papers in leading conferences (IEDM, VLSI, ISSCC, DAC, etc.) and journals (TED, JSSC, Nature Electronics, etc.), and received 2019 IEEE EDS PhD Student Fellowship and 2016 IEEE EDS Masters Student Fellowship (the only receipient in U.S. in respective years).
Luqi ZhengPh.D. Student
zheng782 [at] purdue [.] edu
Luqi Zheng is a Ph.D. student in Electrical and Computer Engineering at Purdue, under the supervision of Prof. Haitong Li. Luqi received his B.S. with honors in Physics from the University of Science and Technology of China in 2021. He was a doctoral student at School of Electronics, Peking University from 2021 to 2023. His current research interests include memory-centric computing, 3D nano systems and cross-layer design.
Shuting DuPh.D. Student
du335 [at] purdue [.] edu
Shuting Du is a first-year Ph.D. student in the School of Electrical and Computer Engineering at Purdue University. She earned a Master’s degree in ECE at Duke University, and a B.Eng. in EE from Southeast University. Her research interests lie in VLSI design, memory, machine learning and AI computing. She is passionate about exploring the Artificial Intelligence accelerators through algorithm-hardware co-design.
Chris DeweyM.S. Student
dewey5 [at] purdue [.] edu
Chris Dewey is a second year Master’s student in Electrical and Computer Engineering at Purdue. Prior to joining NanoX, he worked on power and performance optimization for the AMD Phoenix processor at AMD. He holds a B.S. in Petroleum Engineering from Louisiana State University.
Te-Yu HsinM.S. Student
thsin [at] purdue [.] edu
Te-Yu Hsin is a first-year Master’s student in the School of Electrical and Computer Engineering at Purdue University. He received his B.S. from Purdue in 2023. During his undergraduate studies, he served as the team lead of a lab conducting research on high-efficiency computer vision for embedded systems. His experience and interests revolve around Artificial Intelligence and ASIC design.
Sarthak WaliaM.S. Student
walias [at] purdue [.] edu
Sarthak Walia is a M.S. student in Electrical and Computer Engineering at Purdue University. His interests lie in ASIC design, semiconductor technologies, and compute-in-memory accelerators. Prior to joining Purdue, he worked as a Signoff Engineer at Qualcomm. He holds a B.Tech. in Electronics and Communication Engineering from Motilal Nehru National Institute of Technology, India.
Aidan PrendergastB.S. Student
ajprende [at] purdue [.] edu
Aidan Prendergast is a 4+1 B.S./M.S. student in EE at Purdue. He is also a Student Ambassador with the Elmore Family School of Electrical and Computer Engineering and an Undergraduate Teaching Assistant for ECE 337 ASIC Design. Aidan has interests in semiconductor technologies, machine learning, and digital design.
Boheng ZhaoB.S. Student
zhao969 [at] purdue [.] edu
Boheng is a senior undergrad, pursuing a dual degree in Computer Science and Electrical Engineering at Purdue. His past experience lies within deep learning, digital design, and design flow. Boheng is particularly interested in hardware-software co-design with innovative machine learning frameworks.
Kai Ze EeB.S. Student
ee [at] purdue [.] edu
Kai Ze Ee is a second year Computer Engineering student at Purdue. He participated in the inaugural Purdue Summer Training, Awareness, and Readiness for Semiconductors (STARS) program. He also serves as an Undergraduate Teaching Assistant for the Office of Professional Practice. Kai Ze’s interests lie in semiconductor innovation, machine learning applications, and energy sustainability.
Incoming group membersPostdoctoral Scholar
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