Postdoc Researchers
1. Sola Woo (2022 fall-present)
Ph.D. electrical engineering, Korea University and Samsung Engineer, South Korea
Research Topic: TCAD modeling and simulation of advanced memory and logic devices
2. Tae-Hyeon Kim (2022 fall-present)
Ph.D. electrical engineering, Seoul National University, South Korea
Research Topic: BEOL integration of memory devices on top of CMOS
PhD Students
1. Yandong Luo (2018 fall-present) Email
M.S. electrical engineering, University of California at Los Angeles, USA
Research Topic: Design automation for deep learning accelerator
- Intern at Meta/Facebook (Bellevue, WA), 2022 summer
- IEEE International Memory Workshop (IMW) Best Student Paper Award 2022
2. Shanshi Huang (2019 spring-present) Email
M.S. electrical engineering, Arizona State University, USA
Research Topic: Deep learning algorithm and hardware co-design
3. Hongwu Jiang (2019 spring-present) Email
M.S. electrical engineering, Arizona State University, USA
Research Topic: Deep learning circuit design and tape-out
- Design Automation Conference (DAC) PhD Forum, 2020
- Intern at IMEC (remote), 2021 summer
4. Wantong Li (2019 fall-present) Email
M.S. electrical engineering, Columbia University, USA
Research Topic: Deep learning circuit design and tape-out
- Intern at MediaTek (San Jose, CA), 2022 summer
5. Gihun Choe (2019 fall-present) Email
M.S. electrical engineering, University of Seoul, South Korea
Research Topic: Ferro device characterization and modeling
6. Yuan-chun Luo (2019 fall-present) Email
B.S. electrical engineering, National Tsing-Hua University, Taiwan
Research Topic: Ferro device modeling and circuit-device interaction
- Taiwanese Government Scholarships to Study Abroad (GSSA), 2020
- Intern at Meta/Facebook (Menlo Park, CA), 2022 summer
- IEEE Transactions on Nanotechnology (T-NANO) Best Paper Award 2021
7. Anni Lu (2019 fall-present) Email
B.S. electrical engineering, Tianjin University, China
Research Topic: Deep learning algorithm and hardware co-design
8. Chinsung Park (2021 spring-present, co-advised by Prof. Asif Khan) Email
M.S. materials science and engineering, University of Florida, USA, and SK Hynix Engineer, South Korea
Research Topic: Ferroelectric transistor process integration
9. Po-Kai Hsu (2021 fall-present) Email
M.S. electrical engineering, National Tsing Hua University, and Macronix Engineer, Taiwan
Research Topic: In-memory compute applications beyond deep learning
10. Janak Sharda (2021 fall-present) Email
B.S. electrical engineering, Indian Institute of Technology, Delhi, India
Research Topic: In-sensor compute
11. Jungyoun Kwak (2021 fall-present) Email
B.S. electrical engineering, UC Berkeley, USA and Samsung Engineer, South Korea
Research Topic: 3D monolithic integration technology modeling
12. James Read (2021 fall-present) Email
B.S. electrical engineering, University of Michigan, USA
Research Topic: Deep learning algorithm and hardware co-design
13. Vaidehi Garg (2022 summer-present) Email
B.S. electrical engineering, Cornell University, USA
Research Topic: Circuit and architecture design for in-memory computing
14. Omkar Phadke (2022 fall-present) Email
M.S. electrical engineering, Indian Institute of Technology, Bombay, India
Research Topic: Ferro device characterization and modeling
15. Junmo Lee (2022 fall-present) Email
B.S. electrical engineering, Seoul National University, South Korea
Research Topic: Technological benchmark for in-memory computing
Visiting Scholar
1. Byeongil Han (2022 summer-2023 spring)
SK Hynix Engineer, South Korea
2. Prof. Sangbum Kim (2021 fall-2022 summer)
Dept. of Materials and Science Engineering, Seoul National University, South Korea
Group Alumni
1. Panni Wang, PhD (2017 fall-2021 spring)
PhD Thesis: Investigating Ferroelectric and Metal-Insulator Phase Transition Devices for Neuromorphic Computing
First Employment: Western Digital (Milpitas, CA)
- Colonel Oscar P. Cleaver Award for outstanding Ph.D. dissertation proposal 2020
- Georgia Tech Sigma Xi Best Ph.D. Thesis Award 2021
2. Xiaochen Peng, PhD (2017 spring-2021 spring)
PhD Thesis: Benchmark Framework for 2-D/3-D Integrated Compute-in-Memory based Machine Learning Accelerator
First Employment: TSMC (San Jose, CA)
- Intern at TSMC (San Jose, CA), 2021 spring
- Design Automation Conference (DAC) PhD Forum, 2019
3. Xiaoyu Sun, PhD (2016 spring-2020 summer)
PhD Thesis: Compute-in-Memory with Emerging Non-Volatile Memories for Accelerating Deep Neural Networks
First Employment: TSMC (San Jose, CA)
- Intern at TSMC (San Jose, CA), 2020 spring
- SRC TECHCON Student Presentation Award, 2019
4. Rui Liu, PhD (2014 fall-2018 fall)
PhD Thesis: Semiconductor Memory Applications in Radiation Environment, Hardware Security and Machine Learning System
First Employment: Synopsys (Mountain View, CA)
- Intern at HP Labs (Palo Alto, CA), 2018 summer
- Design Automation Conference (DAC) PhD Forum, 2018
5. Pai-Yu Chen, PhD (2013 fall-2018 spring)
PhD Thesis: Design of Resistive Synaptic Devices and Array Architectures for Neuromorphic Computing
First Employment: Synopsys (Mountain View, CA)
- Taiwanese Government Scholarships to Study Abroad (GSSA), 2015
- Intern at IMEC (Belgium), 2016 summer
- Design Automation Conference (DAC) PhD Forum, 2017
6. Jae Hur, Postdoc (2019 spring-2022 summer)
Research Topic: Ferro device fabrication and modeling
First employment: Intel (Hillsboro, OR)
7. Sung-Tae Lee, Postdoc (2021 fall-2022 spring)
Research Topic: Ferro device fabrication and modeling
First employment: Assistant professor, Gachon University, South Korea
8. Wonbo Shim, Postdoc (2019 summer-2021 summer)
Research Topic: NVM chip testing and NAND based deep learning architecture design
First employment: Assistant professor, Seoul National University of Science and Technology, South Korea
9. Jiyong Woo, Postdoc (2017 fall-2019 spring)
Research Topic: Resistive device fabrication and circuit-device interaction
First employment: Electronics and Telecommunications Research Institute (ETRI) of South Korea; (Now) Assistant professor, Kyungpook National University, South Korea
10. Ligang Gao, Postdoc (2014 fall-2017 summer)
Research Topic: Resistive device optimization and crossbar array fabrication
First Employment: Solar Junction (Tempe, AZ); (Now) Lam Research (Chandler, AZ)
11. Jack Sacane, MS (2020 fall-2021 spring)
MS Thesis: Total Ionizing Dose Effect on Deep Neural Networks Implemented with Multi-Level RRAM Arrays
First Employment: Millennium Space Systems (Los Angeles, CA)
12. Sho Ko, MS (2019 fall-2020 spring)
MS Thesis: Efficient Pipelined ReRAM-based Processing-in-Memory Architecture for Convolutional Neural Network Inference
First Employment: Continue PhD study at Stanford University
Undergraduate Students
1. Yiming Tan (2022 fall-present)
2. Ethan Weinstock, DOD SCALE fellow (2021 fall-present)
3. Laura Heller (2019 fall-2020 spring)
4. Jenna Moore, NSF REU and Honor’s thesis (2016 summer-2017 spring)
5. Ryan Madler, NSF REU and Honor’s thesis (2015 fall-2016 spring)
6. Scott Zuloaga (2014 summer-2015 spring)