Edison.ai

Jun 1, 2021 · 1 min read
experience
  • Independently developed time sequence forecasting models for automated-store customer demand under changing weather, traffic, and time conditions.
  • Tested Vector Autoregression, Long Short-Term Memory, and Facebook Prophet models, and demonstrated their use on an air-pollution forecasting dataset.
  • Annotated images with labels for head, hand, and position using makesense.ai to support YOLO-based human-detection models.
Yang Zhao
Authors
Yang Zhao
Ph.D. Candidate

I am a second-year Ph.D. student in Mechanical Engineering at Northeastern University, advised by Prof. Sze Zheng Yong. My research lies at the intersection of control theory and machine learning, with a focus on data-driven control with constraint satisfaction, as well as safe planning and control under uncertainty.

I received my M.S. in Mechanical Engineering from the University of Illinois Urbana-Champaign (UIUC), where I was advised by Prof. Naira Hovakimyan. Prior to that, I earned my B.Eng. in Electronic and Information Engineering from The Hong Kong Polytechnic University (PolyU).