People

Postdoc Researchers

1. Sola Woo (2022 fall-present)  LinkedIn  Email
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 (2023 spring-present)  LinkedIn  Email
Ph.D. electrical engineering, Seoul National University, South Korea
Research Topic: BEOL integration of memory devices on top of CMOS

PhD Students

1. Wantong Li (2019 fall-present)  LinkedIn  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
  • Design, Automation and Test in Europe Conference (DATE) PhD Forum, 2023
  • ECE INSPIRE Fellow, 2023

2. Gihun Choe (2019 fall-present) LinkedIn  Email
M.S. electrical engineering, University of Seoul, South Korea
Research Topic: Ferro device characterization and modeling

  • Intern at Intel (Hillsboro, OR), 2023 summer

3. Yuan-chun Luo (2019 fall-present)  LinkedIn  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
  • Intern at Qualcomm (San Diego, CA), 2023 summer
  • IEEE Transactions on Nanotechnology (T-NANO) Best Paper Award 2021

4. Anni Lu (2019 fall-present)  LinkedIn  Email
B.S. electrical engineering, Tianjin University, China
Research Topic: Deep learning algorithm and hardware co-design

  • Intern at TSMC (San Jose, CA), 2023 summer

5. Chinsung Park (2021 spring-present, co-advised by Prof. Asif Khan)  LinkedIn  Email
M.S. materials science and engineering, University of Florida, USA, and SK Hynix Engineer, South Korea
Research Topic: Ferroelectric transistor process integration

6. Po-Kai Hsu (2021 fall-present)  LinkedIn  Email
M.S. electrical engineering, National Tsing Hua University, and Macronix Engineer, Taiwan
Research Topic: In-memory compute applications beyond deep learning

7. Janak Sharda (2021 fall-present)  LinkedIn  Email
B.S. electrical engineering, Indian Institute of Technology, Delhi, India
Research Topic: In-sensor compute

8. Jungyoun Kwak (2021 fall-present)  LinkedIn  Email
B.S. electrical engineering, UC Berkeley,  USA and Samsung Engineer, South Korea
Research Topic: 3D monolithic integration technology modeling

9. James Read (2021 fall-present) LinkedIn  Email
B.S. electrical engineering, University of Michigan,  USA
Research Topic: Deep learning algorithm and hardware co-design

10. Vaidehi Garg (2022 summer-present)  LinkedIn  Email
B.S. electrical engineering, Cornell University, USA
Research Topic: Circuit and architecture design for in-memory computing

11. Omkar Phadke (2022 fall-present)  LinkedIn  Email
M.S. electrical engineering, Indian Institute of Technology, Bombay, India
Research Topic: Ferro device characterization and modeling

12. Junmo Lee (2022 fall-present)  LinkedIn  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) LinkedIn
SK Hynix Engineer, South Korea

2. Prof. Sangbum Kim (2021 fall-2022 summer) LinkedIn
Dept. of Materials and Science Engineering, Seoul National University, South Korea

Group Alumni 

1. Yandong Luo, PhD (2018 fall-2022 fall)  LinkedIn
PhD Thesis: Energy Efficient On-chip Deep Neural Network (DNN) Inference and Training with Emerging Nonvolatile Memory Technologies
First Employment: Apple (Cupertino, CA)  

  • Intern at Meta/Facebook (Bellevue, WA), 2022 summer
  • IEEE International Memory Workshop (IMW) Best Student Paper Award 2022

2. Shanshi Huang, PhD (2019 spring-2022 fall)  LinkedIn
PhD Thesis: Reliability and Security of Compute-in-Memory based Deep Neural Network Accelerators
First Employment: Assistant professor, Hong Kong University of Science and Technology (Guangzhou, China)

3. Hongwu Jiang, PhD (2019 spring-2022 fall)  LinkedIn
PhD Thesis: Architecture and Circuit Design Optimization for Compute-in-Memory
First Employment: Assistant professor, Hong Kong University of Science and Technology (Guangzhou, China)

  • Design Automation Conference (DAC) PhD Forum, 2020
  • Intern at IMEC (remote), 2021 summer

4. Panni Wang, PhD (2017 fall-2021 spring)  LinkedIn
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

5. Xiaochen Peng, PhD (2017 spring-2021 spring)  LinkedIn
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

6. Xiaoyu Sun, PhD (2016 spring-2020 summer)  LinkedIn
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

7. Rui Liu, PhD (2014 fall-2018 fall)  LinkedIn
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

8. Pai-Yu Chen, PhD (2013 fall-2018 spring)  LinkedIn
PhD Thesis: Design of Resistive Synaptic Devices and Array Architectures for Neuromorphic Computing
First Employment: Synopsys (Mountain View, CA); Now: AMD (Santa Clara, CA)

  • Taiwanese Government Scholarships to Study Abroad (GSSA), 2015
  • Intern at IMEC (Leuven, Belgium), 2016 summer
  • Design Automation Conference (DAC) PhD Forum, 2017

1. Jae Hur, Postdoc (2019 spring-2022 summer)  LinkedIn
Research Topic: Ferro device fabrication and modeling
First employment: Intel (Hillsboro, OR)

2. Sung-Tae Lee, Postdoc (2021 fall-2022 spring)   LinkedIn
Research Topic: Ferro device fabrication and modeling
First employment: Assistant professor, Gachon University, South Korea

3. Wonbo Shim, Postdoc (2019 summer-2021 summer)  LinkedIn
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

4. Jiyong Woo, Postdoc (2017 fall-2019 spring)  LinkedIn
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

5. Ligang Gao, Postdoc (2014 fall-2017 summer)  LinkedIn
Research Topic: Resistive device optimization and crossbar array fabrication
First Employment: Solar Junction (Tempe, AZ); (Now) Lam Research (Chandler, AZ)


1. Jack Sacane, MS (2020 fall-2021 spring)  LinkedIn
MS Thesis: Total Ionizing Dose Effect on Deep Neural Networks Implemented with Multi-Level RRAM Arrays
First Employment: Millennium Space Systems (Los Angeles, CA)

2. Sho Ko, MS (2019 fall-2020 spring)  LinkedIn
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)