 | Debasis DAS eledd at nus dot edu dot sg Post-doctoral Research Fellow Dr. Debasis Das received a B.Sc. degree in Electronic Science in 2009 from the University of Calcutta, India, M.Sc. degree in Electronic Science in 2011, M.Tech. degree in Nanoscience and Nanotechnology in 2013, from Jadavpur University, India. He has completed his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology (IIT), Bombay, India, in 2019. He has been working as a Research Fellow in the SEEDER group at the National University of Singapore since 2019. His research interests include the physics and simulation of spintronic-based nanoscale devices such as Magnetic Tunnel Junction, Skyrmion based devices, and its application in neuromorphic computation. |
 | NGUYEN Ngoc Nhu Thao thao at nus dot edu dot sg Post-doctoral Research Fellow Thao received her Bachelor's degree in Computer Engineering from the National University of Singapore (NUS) in 2015. She is working towards a PhD at NUS under the guidance of Prof. Kelvin Fong and Prof. Bharadwaj Veeravalli. Her research interests include machine learning and neuromorphic computing. |
 | Yunuo CEN cenyunuo at u dot nus dot edu Graduate Student (PhD) Cen Yunuo received his B.E. degree in Macromolecular Materials and Engineering from Shenzhen University (SZU) in 2020, and M.S. degree in Electrical Engineering from National University of Singapore (NUS) in 2021. He is currently pursuing his Ph.D. at NUS supervised by Asst. Prof. Xuanyao Fong (Kelvin). His research focuses on hardware-algorithm codesign for Ising machine and neuromorphic computing. |
 | Sifan LI sifan.li at u dot nus dot edu Graduate Student (PhD) Li Sifan received his Bachelor’s degree in physics from University of Chinese Academy of Science (UCAS) in 2018. He is currently pursuing his Ph.D. at National University of Singapore (NUS) under the guidance of Assoc. Prof. Ang Kah-Wee and Asst. Prof. Xuanyao Fong (Kelvin). His research focuses on 2-dimensional material based memristive devices and their applications for neuromorphic computing. |
 | Jianze WANG jianze dot wang at u dot nus dot edu Graduate Student (PhD) Wang Jianze received his B.S. degree in Electronic Information Science and Technology from University of Electronic Science and Technology of China (UESTC) in 2019, and M.S. degree in Electrical Engineering from National University of Singapore (NUS) in 2020. He used to work on spiking neural network using GPU acceleration under Prof. Fong’s supervision. |
 | Yimin WANG yimin dot wang at u dot nus dot edu Graduate Student (PhD) Wang Yimin received his B.S. degree in Electronic Information Science and Technology in 2019 from Jilin University (JLU), China, and M.S. degree in Electrical Engineering in 2022 from National University of Singapore (NUS). He is currently pursuing his Ph.D. at NUS supervised by Prof. Xuanyao Fong (Kelvin). His research focuses on efficient hardware design for intelligent electronic systems, including spiking neural network accelerator and Ising machines. |
 | Zixuan WANG zixuanwang at u dot nus dot edu Graduate Student (PhD) Wang Zixuan received his B.S degree in Electronic Science and Technology from Beijing Institute of Technology (BIT) in 2021, and M.S. degree in Electrical and Computer Engineering from Georgia Institute of Technology (GT) in 2023. He is currently pursuing his Ph.D. at NUS supervised by Prof. Fong Xuanyao (Kelvin). His research focuses on combinatorial optimization problems and artificial intelligence hardware accelerator. |
 | Zhen WU e0323083 at u dot nus dot edu Graduate Student (PhD) Wu Zhen received his Bachelor’s degree in Electrical Engineering from the National University of Singapore (NUS) in June 2022. He is working towards a Ph.D. at NUS under Prof. Kelvin Fong’s guidance. His research focus on microarchitectures for ultra-energy efficient domain-specific computing machines. |
 | Wei ZHANG zhwei98 at nus dot edu dot sg Graduate Student (PhD) Zhang Wei received his B.Eng. degree as Excellent Graduate in Microelectronic Science and Engineering from Soochow University (SCU) in 2021, and M.Sc. degree in Electrical Engineering from National University of Singapore (NUS) in 2022. He is currently pursuing his Ph.D. at NUS supervised by Asst. Prof. Xuanyao Fong (Kelvin). His research focuses on modeling of ferroelectric memory devices for edge-AI system. |
 | Fangrui HE e1143553 at u dot nus dot edu Graduate Student (MSc) Fangrui He received his Bachelor’s degree in Engineering from Shenzhen University (SZU, China) in June 2023. He is currently pursuing M.S. degree in Electrical Engineering at National University of Singapore (NUS). He works on spiking neural network under the guidance of Asst. Prof. Xuanyao Fong (Kelvin). |
 | Suyang LIU e1143555 at u dot nus dot edu Graduate Student (MSc) Liu Suyang received his Bachelor's degree in Electronic Information Engineering from Nanjing University of Aeronautics and Astronautics (NUAA) in 2023. He is pursuing his Master's degree at the Department of Electrical & Computer Engineering at the National University of Singapore. His research interests include designing an integrated functionalized memory subsystem and analog integrated circuits design. |
 | Haotian LU haotian_lu at u dot nus dot edu Graduate Student (MSc) Haotian Lu received the B.E. degree in Microelectronics from Tianjin University, Tianjin, China in 2023. He is currently a postgraduate student in the department of Electrical and Computer Engineering, National University of Singapore, Singapore, under the guidance of Prof. Kelvin Fong. His research interests mainly include algorithm and architecture design, neuromorphic computing, efficient AI hardware and hardware security. |
 | Jingqi LUO luojingqi at u dot nus dot edu Graduate Student (MSc) Jingqi Luo received his Bachelor’s degree in Communications Engineering from Northeastern University (NEU, China) in June 2023. He is currently pursuing M.S. degree in Electrical Engineering at National University of Singapore (NUS). He works on spiking neural network under the guidance of Asst. Prof. Xuanyao Fong (Kelvin). |
 | Yuhang XIE xieyuhang at u dot nus dot edu Graduate Student (MSc) Xie Yuhang received his B.S. in Communication Engineering from Xidian University in 2022. He is now pursuing an M.Sc in Electrical Engineering at the National University of Singapore. His current research focuses on building and optimizing phase-field models for ferroelectric materials and exploring their application in IGZO FeFET memory devices. |
