CV
Education
- Ph.D in Computer Science and Engineering, University of Connecticut, 2024 (expected). GPA: 3.94.
- M.S. in Electrical Engineering, University of Akransas, 2020. (Ph.D. dropout). GPA: 3.9.
- B.S. in Electrical Engineering, Huazhong University of Science and Technology, 2018. GPA: 3.92.
Research experience
- Dec. 2023 – Present: Ph.D. Research Intern @ Microsoft GenAI
- Jan. 2021 – Present: Research Assistant @ UConn CSE
- Research area: Deep learning, machine learning system, privacy perserving machine learning.
- Supervisor: Prof. Caiwen Ding
- May. 2022 – Dec.2022: Ph.D. Research Intern @ PNNL
- Research area: High performance computing platform (SambaNova, GraphCore and GPU platform) benchmark.
- Supervisor: Dr. Ang Li
- Aug. 2018 – Aug. 2020: Research Assistant @ UArk EE
- Research area: Power electronics system.
- Supervisor: Prof. Fang Luo
Skills
- Programming language:
- Framework/Software:
- Pytorch, TensorFlow, CUDA C++, MPI/OpenMP, Vivado (HLS), MATLAB, Cadence Virtuoso
Award
- 10/2023. Synchrony Fellowships by UConn School of Engineering for excellent cybersecurity research
- 07/2023. GE Fellowship by UConn School of Engineering for research excellence
- 05/2023. Predoctoral fellowship for research excellence
- 08/2022. GE Fellowship by UConn School of Engineering
- 05/2022. Taylor L. Booth predoctoral fellowship for top 1 scholarly achievements by UConn CSE.
- 10/2021. Young Fellows Program by DAC conference
- 09/2020. Best EMC Student Paper Award by EMCSI conference
- 05/2019. Traveling grant by PEDG conference.
- 09/2017. National Encouragement Scholarship by Ministry of Education of P.R.C
- 10/2016. Bosch Scholarship sponsored by Bosch Electric Cooperation
- 03/2016. 2nd Prize of 2nd Neoway Cup IOT Electronic Design Contest.
- 09/2015. Merit Student of HUST for top 4% by HUST
- 09/2015. National Scholarship for top 0.2% students by Ministry of Education of P.R.C
Teaching Assistant
- UConn CSE 3666. Introduction to Computer Architecture - Spring 2022, fall 2022, spring 2023, fall 2023.
Service and leadership
- Reviewer for:
- IEEE Transactions on Neural Networks and Learning Systems
- Neural Networks
- Neurocomputing
- Engineering Applications of Artificial Intelligence
- Microprocessors and Microsystems
- IEEE Transactions on Very Large Scale Integration Systems
- AAAI Conference on Artificial Intelligence 2023
- IEEE Transactions on Power Electronics
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- IEEE Transactions on Electromagnetic Compatibility
- IET Power Electronics
- International Transactions on Electrical Energy Systems
- IEEE Transactions on Circuits and Systems II
- Sustainable Energy, Grids and Networks
- IEEE Energy Conversion Congress and Exposition (ECCE 2023)
- International Conference on Field Programmable Logic & Applications (FPL) 2022
