Bo Zhang received his B.S. degree in Electrical Engineering form Shanghai Jiao Tong University, China in 2018. He received PhD degree in Electrical Engineering at Columbia University in Dec 2023. His research interests include computer architecture for machine learning algorithms and ultra-low-power VLSI circuit and system design. He joined TSMC after the graduation.

Dewei Wang received his B.S degree in Biomedical Engineering(BME) from Xi'an Jiaotong University, China, in June 2017, and M.S degree in BME from Columbia University, NY, in December 2018. He received his Ph.D degree in Electrical Engineering at Columbia University in May 2023. His research interests include energy-efficient neuromorphic hardware and algorithm design. He joined Apple after the graduation.

Jonghyun Oh received the B.S. and Ph.D. degrees in electrical and computer engineering from Seoul National University, South Korea, in 2015 and 2021, respectively. In 2021, he was a Postdoctoral Researcher with the Inter-University Semiconductor Research Center, Seoul National University. He was a Postdoctoral Research Scientist at Columbia University from Sep. 2021 to Mar. 2023. His main research interests include high-speed interface, integrated voltage regulator, synthesizable hardware, and neuromorphic hardware design. He joined Apple after the graduation.

Ashish Shukla received B.E (Hons) in Electrical Engineering (EE) from BITS-Pilani Hyderabad, India, in July 2014, and M.S degree in EE from Columbia University, NY, in December 2015. Subsequently, he has worked at Hypres Inc., NY, in the area of mixed signal superconducting circuits. He received PhD degree in electrical engineering from Columbia University. His research interests lie in mixed signal circuit design for DSP, hybrid semiconductor-superconductor integrated circuit design. He joined Intel after the graduation.

Dongkwun Kim received the B.S degree in electrical and computer engineering from Seoul National University, South Korea, in 2015. He received the M.S. degree in electrical and computer engineering from the University of Michigan, in 2017. He received Ph.D. degree in electrical engineering at Columbia University, New York, in 2022, with the thesis titled Energy-Efficient Power Management Architectures for Emerging Needs from the Internet of Things Devices to Data Centers. His research interests include ultra-low- power VLSI circuit design. Dongkwun is the presidential fewllow in the 2017 PhD program admission. He joined Apple after the graduation.

Min-Seong Choo received the B.S. and Ph.D. degrees in electrical and computer engineering from Seoul National University, Seoul, Korea, in 2012 and 2019, respectively. In 2019, he was a Post-Doctoral Researcher with the Inter-University Semiconductor Research Center, Seoul National University. In 2020, he was Research Scholar with the Center for Nanotechnology, NASA Ames Research Center, Moffet Field, CA, USA. From Dec. 2020 to Jan. 2022, he was a Post-Doctoral Researcher at Columbia University. His current research interests include phase-locked loops (PLLs), clock and data recovery (CDR) circuits, injection-locked oscillators (ILOs), memory system architecture, and neuromorphic computing. He joined Hanyang University (ERICA campus) as an assitant professor.

Teng Yang received the B.S. degree in Telecommunication Engineering from Beijing University of Posts and Telecommunications (BUPT), in 2010. He received the M.S. and Ph.D. degrees in electrical engineering from Columbia University, in 2012 and 2021, respectively. His thesis's title is In-situ and In-field Temperature and Transistor BTI Sensing Techniques with Microprocessor-level Implementation. He joined Intel after his study. Co-advised with Prof. Peter Kinget.

Pavan Kumar Chundi received B.Tech. degree in electrical engineering from Indian Institute of Technology Delhi, India, in 2016 and received Ph.D. degree in electrical engineering from Columbia University, New York, with the thesis titled Algorithm Hardware Co-Design of Neural Networks for Always-On Devices, in May 2021. His research interests include algorithms and hardware for AI and ML systems. He joined Nvidia after the graduation.

Sung Justin Kim received B.S. degree in Electrical Engineering from the Georgia Institute of Technology in 2013, and M.S. degree in Electrical Engineering from Columbia University in Feb, 2017. He received his Ph.D. degree in Electrical Engineering at Columbia University in Dec. 2020, with the thesis titled Integrated and Distributed Digital Low-Drop-Out Regulators with Event-Driven Controls and Side-Channel Attack Resistance. His research interests include digital voltage regulators and hardware security. He joined Apple (Silicon Engineering) after the graduation.

Zhewei Jiang received duo B.S. degrees in physics from Adelphi university and in electrical engineering from Columbia University in 2013, and M.S. degree in EE from Columbia University in 2015. He received pursuing Ph.D. degree in electrical engineering at Columbia University in May 2020, with the thesis titled Algorithm and Hardware Co-Design for Local/Edge Computing. His research interests include neuromorphic computing architecture and other machine learning algorithms and their hardware implementations. Zhewei was the fellow of Wei Family Private Foundation. He joined Bell Labs after the graduation.

Joao Pedro Cerqueira received the B.S. degree with honors in Electronic Engineering from The University of Brasilia, Brazil, 2014. He then joined the VLSI Design Lab at Columbia University for his graduate study. He received Ph.D. degree in Electrical Engineering at Columbia University in 2019, with the thesis titled Ultra-Low Leakage, Energy-Efficient Digital Integrated Circuit and System Design. His interests include low power VLSI circuits and system design. Joao is a 2017 Qualcomm Innovation Fellowship (QinF) recipient. He joined Apple (Silicon Engineering) after the graduation.

Doyun Kim received B.S. degree in electrical engineering from POSTECH(Pohang University of Science and Technology), South Korea, in 2013, He received his Ph.D. degree in electrical engineering at Columbia University, New York, in 2019, with the thesis titled Fully Integrated Digital Low-Drop-Out Regulator Design based on Event-Driven PI Control. His research interests include on-chip integrated digital LDO circuits, event-driven asynchrnous control system, and emerging low-power VLSI circuits and systems design. After the graduation, he joined Facebook for its chip design and research division.

Jiangyi Li received B.S. degree in Electronic Engineering from Tsinghua University, Beijing, China in June, 2012 and M.S. degree in Electrical Engineering from Columbia University in Feb, 2014. He received Ph.D. degree in Electrical Engineering in 2018, with the thesis titled Very-Large-Scale-Integration Circuit Techniques in Internet-of-Things Applications. His research interest is integrated power regulation for microwatt loads, security circuits, and various low power VLSI design. He joined Apple (Silicon Engineering) after the graduation.

Minhao Yang obtained Ph.D. from ETH Zurich in 2015. His research interests include event-driven visual and auditory sensors, and spike encoding and processing. He was an SNF Early Postdoc Mobility fellow and worked as a postdoc fellow with Prof. Mingoo Seok on event-driven audio processors for two years from Jan 2016 to Dec 2017. He then joined as a scientist in the integrated circuits laboratory led by Prof. Enz Christian at EPFL.

Josh Seongjong Kim received B.S. degree in electrical engineering from Hanyang University, South Korea, in 2010, and M.S. degree from University of Michigan in 2012. He received Ph.D. degree in electrical engineering at Columbia University, New York, in 2016, with the thesis titled Variation-Tolerant and Voltage-Scalable Integrated Circuits Design. His research interests include low-power and variation tolerant VLSI circuit and system design. He was a student fellow of the Catalyst Foundation. He joined Intel Circuit Research Lab after graduation.

Hyuk-Jin Lee received the B.S in electrical engineering from Handong Global University, Pohang, Korea, in 2018, and he is currently working toward the Ph.D. degree in electrical engineering from the Korea Advanced Institute of Science and Technology, Daejeon, South Korea, in 2021. His current research interest includes energy-efficient machine learning processors using in-memory computing. He was a visiting student in Columbia University for Jan-Jun 2022.

Pangi Park received the B.S. in biomedical engineering from Hanyang University, Seoul, Korea, in 2019, and he is currently working toward the Ph.D. degree in electrical engineering from the Korea Advanced Institute of Science and Technology, Daejeon, South Korea, in 2021. His current research interests include design of integrated low power biomedical sensor SoCs, body channel commnication TRx, and ultra-low-power analog/mixed signal circuits. He was a visiting student in Columbia University for Jan-Jun 2021.

Soo Bong Chang received the B.S. degree from the Department of Electronic and Electrical Engineering, Dongguk University, Seoul, South Korea, in 1998. He joined Samsung Electronics, Giheung, South Korea, in 1998. Since then, he has been involved in the DRAM Design. His research interests include low-voltage memory circuits, high-speed chip-to-chip interface circuits, low-power CMOS analog circuits, and analog and all-digital circuits. He was a visiting scholor in Columbia University for Apr. 2019 - Apr. 2020.

Peiye Liu received the B.S. degree in Telecommunication Engineering from Beijing University of Posts and Telecommunications (BUPT), in 2015. He is currently pursuing the Ph.D. degree in Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia at BUPT. He was a visiting student in the VLSI Design Lab at Columbia University Sep. 2017 to Sep. 2019. His research interests include computer vision and efficient machine learning algorithm.

Jin-O Seo received the B.S. Degree in Electrical Engineering from Pohang University of Science and Technology, Pohang, South Korea, in 2017. He is currently pursuing M.S./Ph D. degree in Electrical Engineering at Korea Advanced Institute of Science and Technology, Daejeon, South Korea. His current research interest includes energy-efficient machine learning processors using analog and mixed-signal circuits. He was a visiting student in Columbia University from Feb 2020 to May 2020.

Hyuk-Jae Lee received the B.S. and M.S. degrees in Electrical Engineering from Seoul National University in 1987 and 1989, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Purdue University in 1996. He is currently the professor in Electrical Engineering of Seoul National University, Seoul, Republic of Korea. He has been working on the areas of computer architecture and parallel processing. He was a visiting scholar in the VLSI Lab at Columbia University from Sep. 2018 to Jan. 2019, and continues collaborating on emerging high-performance computing architecture for vision applications

Weiwei Shan received the B.S. degree in microelectronics from Tianjin University, Tianjin, China, in 2003, and the Ph.D. degree in Microelectronics from Tsinghua University, Beijing, China, in Jan. 2009. She did join research in University of Maryland, College Park, MD, USA during 2007-2008. She joined Southeast University in 2009 and now is an associate professor. She was a visiting associate research scientist in Electrical Engineering Department at Columbia University. Her research mainly focuses on energy efficient SoC design, variation resilient adaptive circuits, and hardware security. She has published over 40 technical papers in conferences and journals and granted over 25 invention patents.

Tianchan Guan received the B.S. degree in Information Engineering from University of Electronic Science and Technology of China (UESTC), in 2012. She is currently pursuing Ph.D. degree in Microelectronics at Fudan University. She was a visiting student to the VLSI Design Lab at Columbia University from Sep. 2015 to May 2018. Her research interests include low power and high energy efficiency biomedical VLSI circuits and system design. She joined Alibaba after the graduation.

Wei Jin received the B.S. degree and M.S. degree in Microelectronics from Shanghai Jiao Tong University (SJTU), in 2009 and 2011, respectively. He received Ph.D. degree in Micro/nano-electronics at Shanghai Jiao Tong University in 2017. He was a visiting student to the VLSI Design Lab at Columbia University from Sep. 2014 for about 18 months. His research interests include low power and ultra-low power VLSI circuits and system design. He joined Huawei after graduation.

Zhengping Zhu received his B.S. degree in Electrical and Computer Engineering from Shanghai Jiao Tong University, China, in 2022. He is currently pursuing an M.S. degree in Computer Engineering at Columbia University. His research interest lies in digital hardware design and automation.

Daniel Jang received the B.S. degree in Electrical Engineering from Korea University, South Korea, in 2018 after graduated from Sejong Science High School. He was with the group until Dec. 2023. His research interests include analog and mixed-signal circuits designing.

Jeongwook Lee received his bachelor's degree with summa cum laude in Electrical and Electronic Engineering from Yonsei University, South Korea, in 2021. He is currently pursuing his MS degree in Electrical Engineering at Columbia University, New York, from Fall 2021. His research interests include computer architectures and circuits for emerging cognitive systems.

Yunze Yang received the B.S. degree in Electrical Engineering from the University of Washington, Seattle in 2021. He is pursuing the MS degree in Electrical Engineering at Columbia University, New York from Fall 2021. His research interests include digital VLSI circuit and system design.

Jerry Maojing Lin Jerry (Maojing) Lin received his B.S degree in Electrical Engineering from Rice University in 2021. He is currently pursuing an M.S degree in Electrical Engineering at Columbia University, New York. His research interests include VLSI design, hardware verification, and wireless communication.

Anhang Li received his bachelor’s degree in Microelectronics Science and Engineering at Sun Yat-sen University, China, in 2020. He is currently pursuing the M.S. degree in Electrical Engineering at Columbia University, New York. His research interests include computation accelerators, high power efficiency circuits, and mixed-signal design.

Yunran Zhou received his B.E. degree in Electrical and Communication Engineering from City University of Hong Kong in 2020. His research interest lies in the intersection between electronics and neuroscience.

Wei Fan received the B.S degree in physics and minor degree in Mathematics from University of Rochester in 2020. She is currently pursuing the M.S. degree in electrical engineering at Columbia University, New York. Her research interests include machine learning algorithms and ultra-low- power VLSI circuit design.

Austin Ebel received his B.S. degree in Electrical Engineering from Columbia University in 2020. Since then, he has worked at NASA's Jet Propulsion Laboratory and with Debasis Mitra at Columbia. He will start a Ph.D in Fall 2022, with research interests in agile VLSI design and hardware acceleration for deep learning.

Ayushparth Sharma obtained his Bachelor’s in Electronics and Comm. Engineering from LNMIIT, Jaipur, India in 2016. After graduation, he worked as a Research Engineer at National University of Singapore (NUS), Singapore. He worked on low-power VLSI circuits and systmes in the VLSI Design Lab at Columbia University and received MS degree in Electrical Engineering at Columbia University, New York, in 2020.

Wenrui Zhang received B.Eng (Hons) in Electrical Engineering from University of Liverpool, UK (2017-2019) and Xi’an Jiaotong-Liverpool University, China (2015-2017) in 2019. He was an EE master student at Columbia University. He is eager to witness the combination of neuroscience and electronic circuit design. His research interests include neuromorphic sensors and systems as well as neural signal processing hardware.

Xiaofu Pei received her B.S. degree in Microelectronics from Fudan University, China, in 2019. She received her M.S. degree in Electrical Engineering at Columbia University in Dec. 2020. Her research interest lies in high-performance computing architecture. She joined Ambarella after graduation.

Yidong Jian received his double B.Eng. (Honors) degrees in Electronics and Electrical Engineering from University of Electronic Science and Technology of China and University of Glasgow, UK, in 2019. He received his M.S. degree in electrical engineering at Columbia University in Dec. 2020. His research interests mainly focus on computer architecture and high-performance ASIC design. He joined Huawei after graduation.

Yi Zhang obtained her double B.Eng. (Honors) degrees from University of Glasgow, UK and University of Electronic Science and Technology of China in 2019. She received an M.S. degree in Electrical Engineering at Columbia University in Dec. 2020. Her research focuses on digital VLSI circuits design.

Yuchan Hsueh received his B.S. degree in Biomedical Engineering from Tsinghua University, China in 2018. He received the M.S. degree in Electrical Engineering at Columbia University in Dec. 2019. His research interests include analog and mixed-signal circuits design.

Xuyang Liu received his B.S. degree in Electrical Engineering from Jilin University, China in 2018. He received the MS degree in Electrical Engineering at Columbia University in Dec. 2019. He has a background on both analog and digital circuit and has a passionate for solving problems in circuit design.

2019 BS: Jay Mok
2018 MS: David Di Zuo, Ajay Kumar Sridhar, Yucan Liu, Varun Ahalawat, Gautham Harinarayan
2018 BS: Jay Mok
2017 MS: Sheng Zhang, Shijian Chi, Chuanjun Shan
2017 BS: Saarthak Sarup
2016 MS: Sung Justin Kim, Yuxiang Chen, Song Wang
2015 MS: Yini Zhou (Broadcom), Utkarsh Gupta
2014 MS: Zhenyu Zhu (Calvium), Beinuo Zhang (Oracle), Jiachen Li (Oracle), Cong Zhu (Oracle), Zhewei Jiang (Columbia)
2014 BS: Andreas Hofmann (Innsbruck)
2013 MS: Hongsen Yu (Marvell), Zhe Cao (Marvell), Jiangyi Li (Columbia), Zhenyu Zhu (Cavium)
2012 MS: Jian Liu (Qualcomm), Masayuki Pak (Sony), Changzhuo Chen (History), Hongtao Li, Kevin Kuo (Qualcomm), Junyan Guo (SanDisk)
2012 BS: Christopher Hong (Cooper Union, Bloomberg), Kyungmin Lee (Cooper Union, Cornell)