Kang Jun Bai

Degree Objective: Ph.D.                                                                        Personal Website

 

Research Interests:

  • Analog/Mixed-signal IC Design
  • Emerging Nanoscale Device
  • Neuromorphic Computing System
  • Machine Learning and Deep Learning
  • Artificial Intelligence

 

Education:

  • Ph.D., Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA (Since Summer 2017 | Expected Graduation: Spring 2021)
  • M.S., Embedded Electrical and Computer Systems, San Francisco State University, San Francisco, CA, USA
  • B.S., Electrical Engineering, San Francisco State University, San Francisco, CA, USA

 

Research Experiences:

Virginia Tech

  • Hybrid Structured Deep Neural Network with Memristive Synapses
  • High-performance Delay Feedback Reservoir Computing System

San Francisco State University

  • Energy-efficient Circuits Design for Neuromorphic Computing System
  • RF-DC Boost Converter for Wireless-powered Biomedical Implants

NASA Ames Research Center

  • AC-DC Boost Converter for Low-power Applications

 

Publications:

Google Scholar Profile

Journal Paper

Conference Papers

Book Chapter

 

Relevant Courses Taken:

  • Advanced Analog IC Design
  • Advanced Digital Design
  • Advanced Machine Learning
  • Analog IC Design
  • Computer Vision
  • Digital Design Verification
  • Digital IC Design
  • Digital VLSI Design
  • Embedded Systems

 

Personal Interests:

  • Travel
  • Hiking
  • Photography
  • Cooking
  • Lego Model