Education

UBC, Okanagan Ph.D. in Electrical Engineering Sept. 2019--2023

UBC, Okanagan M.A.Sc. in Electrical Engineering Sept. 2016--Jan. 2019

Northern Arizona University B.Sc. in Electrical Engineering Sept. 2013--May 2016

Chang'An University B.Eng. in Automation Sept. 2012--Jun. 2013

Work Experience

• Graduate Research Assistance, University of British Columbia, Kelowna, BC, Canada, Sept. 2019 -- 2023
• Software Engineer, Eyesmart Technology Co. Ltd., Beijing, China, Apr. 2019 -- Jul. 2019
• Data Scientist, Data Nerds, Kelowna, BC, Canada, Mar. 2018 -- Jul. 2018
• Data Scientist Intern (MITACS), Data Nerds, Kelowna, BC, Canada, Sept. 2017 -- Jan. 2018
• Data Scientist Intern (MITACS), Data Nerds, Kelowna, BC, Canada, Dec. 2016 -- Apr. 2017
• Graduate Research Assistance, University of British Columbia, Kelowna, BC, Canada, Sept. 2016 -- Jan. 2019

Teaching Experience

• APSC254 - Instrumentation and Data Analysis at UBC
• ENGR451 - Microelectroincs I at UBC
• EE348 - Signal Processing and EE188 - Introduction to Electrical Engineering at NAU

Awards

• Outstanding Reviewer Award from IEEE TIM on Mar. 2021
• University Graduate Fellowship at UBC on Aug. 2020
• Gradudate Dean's Entrance Scholarship at UBC
• International Four-Year Doctoral Partial Tuition Award at UBC
• IEEE IS&M-SC - Second Position

Competitions

• House Damage Assessment
  It obtained The First Place Award. We deigned an extremely computationally efficient image segmentation framework with uncertainty quantification for building damage assessment from remote sensing images. The proposed solution outperforms the contemporary frameworks from University of Michigan and University of Wisconsin, Madison.
  
• Hierarchy Reinforcement Learning for Automated Greenhouse
  This project aimed to design and develop artificial intelligence control system for Autonomous Greenhouses International Challenge 2019 in Netherlands. Our system was based on hierarchy reinforcement learning.
  
• Cloud Enabled Mobile Sensing Agent for Smart Agriculture
  The project intended to create a device for sensing environmental data, detect and forecast potential insects' disaster using acoustic recognition. It obtained The Second Position Award in the IEEE ``Sensor and Measurement" Student Contest (IEEE IS\&M-SC) for live demonstration session at IEEE International Instrumentation and Measurement Technology Conference.
  
• A Prospective Study of Flood Disaster in Canada
  This project analyzed the spatial-temporal data of flood disaster across Canada from 1902 to 2014. A poster was presented in the Student Contest of 45th Annual Meeting of Statistical Society of Canada.