About me
Throughout my academic journey, I have served as a dedicated Graduate Research Assistant at PCVlab directed by Professor Alper Yilmaz. I will complete my PhD program by December 2023. In this role, my research was funded by industry including Ford Motor Company and Ubihere Inc.. These collaborations have been centered around deep learning projects, such as precise object height estimation from images, and real-time autonomous navigation solutions for Unmanned Aircraft Systems (UAS). In addition, I have actively engaged in a variety of deep learning-related downstream tasks like Object Detection and Tracking, Semantic Segmentation, Optical Flow, and Image Registration.
Before my PhD, I completed my M.S. program in Electrical Computer Engineering, The Ohio State University. Even before that, I had amazing years at the University of Electronic Science and Technology of China, where I worked on electric information analysis and digital signal processing.
Research Interest
- Deep Learning, Machine Learning, Image Processing
- Object Detection & Tracking, Segmentation, Optical Flow, Image Registeration
- Aerial/Satellite Photogrammetry, Unmanned Aerial System
News
- 01/2024: Join Wexner Medical Center in The Ohio State University as a Research Scientist.
- 11/2023: Complete Ph.D. dissertation entitled
Enabling Platform Agnostic Situational Awareness using Machine Learning and View Geometry. - 09/2023: One MDPI Drones Jounal paper is accepted on UAS autonomous geopositioning and tracking
- 06/2023: Open to work NOW.
- 05/2023: Will defend my PhD thesis in Dec 2023.
- 12/2022: Womplete vision-based UAS geopositioning project funded by UbiHere Inc.
- 08/2022: Pass PhD Cadidacy Examination.
- 12/2021: Give final presentation of the project funded by Ford Motor Company.
- 04/2021: Pass PhD Qualification Examination.
- 01/2020: Join Photogrammetry Computer Vision lab for Ph.D. in ECE department, OSU.
