Shiqi Zhao

Assistant Professor at Northeastern University.

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Date of Birth: September 1994
Title: Assistant professor, Supervisor of master candidate
Phone: +86 18810907126
Email: zhaoshiqi@neuq.edu.cn, zhaoshiqi@qhd.neu.edu.cn

Research Interests

  • Deep Learning and Hardware Acceleration
  • Digital Chips and Systems
  • Brain-inspired Computing
  • Brain-Computer Interface

Educational Background

September 2019 - June 2023: Ph.D. in Electronic Science and Technology, Zhejiang University - Westlake University

Work Experience

September 2023 - Present: Assistant professor, School of Computer and Communication Engineering, Northeastern University

Academic Roles

  • Reviewer for IEEE Transactions on Biomedical Circuits and Systems
  • Reviewer for IEEE Transactions on Circuits and Systems II: Express Briefs
  • Reviewer for IEEE Transactions on Biomedical Engineering
  • Reviewer for international conferences such as ISCAS, BioCAS
  • IEEE Member, Member of IEEE Circuits and Systems Society
  • Member of China Computer Federation (CCF)
  • Member of China Institute of Electronics (CIE)

Research Projects

Ongoing Projects

  1. Talent Research Startup Fund, Northeastern University, Principal Investigator
  2. CMOS Process Terahertz Heterodyne Detector Chip, Principal Investigator
  3. Algorithm Development for Brain-Computer Interface, Principal Investigator
  4. Major Project of the Ministry of Science and Technology’s Innovation 2030 “Brain Science and Brain-Inspired Research”, Participant
  5. Zhejiang Province Key R&D Project, Participant

Awards and Honors

  • President of IEEE Westlake University Student Branch
  • Best Ph.D. Student Award at the Westlake University Advanced Neurochip Center

Academic Achievements

In recent years, Dr. Zhao has published over ten papers in renowned journals and conferences in his field.

Representative Academic Papers

  1. Zhao S, Yang J, Wang J, Sawan M. HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things [J]. IEEE Transactions on Biomedical Circuits and Systems, 2024.
  2. Zhao S, Yang J, Wang J, Sawan M. A 0.99-to-4.38 μJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses [J]. IEEE Transactions on Biomedical Circuits and Systems, 2023.
  3. Wu D#, Zhao S#, Yang J, Sawan M. Low-Power FPGA-based Task-aware Compression and Energy-efficient Analysis Processor for Continuous Health Monitoring [J]. IEEE Transactions on Biomedical Circuits and Systems, 2023.

Courses Taught

  • Undergraduate Courses: “Computer Architecture”, “Java Programming Course Design”
  • Graduate Course: “Pre-trained Models and Methods”

Graduate Student Supervision

Supervising 2 graduate students, assisted in supervising 6 graduate students.