People

Postdoc Researchers

1. Jae Hur (2019 spring-present) Email
Ph.D. electrical engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Research Topic: Ferro device fabrication and modeling

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 (Menlo Park, CA), 2022 summer

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 MeidaTek (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 fabrication 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

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

8. Dongsuk  Kang (2021 spring-present)    Email
M.S. electrical engineering, Sungkyunkwan University, South Korea
Research Topic: Cryogenic CMOS and circuit design

9. 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

10. Po-Kai (Ben) 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

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

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

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

14. Abdallah Felfel (2022 spring-present)  Email
B.S. nanotechnlogy, Zewail City of Science and Technology, Egypt
Research Topic: TBD

15. Vaidehi Garg (2022 summer-present)  Email
B.S. electrical and computer engineering, Cornell University, USA
Research Topic: TBD

Visiting Scholar

1. Prof. Sangbum Kim (2021 fall-present)
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. Sung-Tae Lee (2021 fall-2022 spring) 
Research Topic: Ferro device fabrication and modeling
First employment: Assistant professor, Gachon University, South Korea

7. 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

8. 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

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

10. 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)

11. 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. Ethan Weinstock, DOD SCALE fellow (2021 fall-now)

2. Laura Heller (2019 fall-2020 spring)

3. Jenna Moore, NSF REU and Honor’s thesis (2016 summer-2017 spring)

4. Ryan Madler, NSF REU and Honor’s thesis (2015 fall-2016 spring)

5. Scott Zuloaga (2014 summer-2015 spring)