Shiya Liu

Degree Objective: Ph.D.

Research Interests:

  • Analog IC Design
  • Neuromorphic Computing System
  • Hardware accelerator

Education:

  • Ph.D., Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA (Since Jan 2019 | Expected Graduation: Dec 2022)
  • M.S., Electrical Engineering, Iowa State University, Ames, IA, USA
  • B.S., Electrical Engineering, Iowa State University, Ames, IA USA

Research Experiences:

Virginia Tech

  • Implementation of Reservoir Computing System on FPGA. Iowa State University
  • Identifying Multiple Operating Points in self-biasing circuit (Band-Gap Reference, Bias Generator, Temperature Sensor, and VCO)
  • Thermal noise analysis in Switched-Capacitor circuit

Work Experience:

Computer Vision Algorithm Engineer

  • Design and build object detection and recognition algorithms for ADAS (Advanced driver-assistance systems).

Power Integrity EDA Engineer

  • Build power integrity models of mixed signal circuits for chip level power integrity analysis. Enhance and automate flows of building power  integrity models.

Publications:

Shiya Liu, Randall L. Geiger, Degang Chen “A Graphical Method for Identifying Positive Feedback Loops automatically in Self-Biasing Circuit for Determining the Uniqueness of Operating Points,” National Aerospace & Electronics Conference, June. 2014