Wei Feng
Research Assistant
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About
Machine-learning Ph.D. candidate with 6 + years of research and teaching experience. Designed deep-learning models now deployed at the U.S.
Air Force Research
Laboratory and secured a DoD NDSEG Fellowship. Hands-on with Python, PyTorch, TensorFlow; passionate about translating cutting-edge research into scalable, real-world impact.
Experience
Research Assistant at U.S. Air Force Research Laboratory (Present)
- Explore applications of Large Language Models (LLM) in satellite images change detection and damage assessment
- Develop view-GAT network for 3D point cloud data classification by Pytorch
- 3D point cloud data classification and damage assessment by using geometric and TDA
- Develop IP2CL to boost damage assessment performance on satellite images by Tensorflow
Instructor at The City College of The City University of New York
- Taught 4 Teaching Data Structure (CSC21200) classes
Research Intern at U.S. Air Force Research Laboratory
- Conducted extensive research on sparseness analysis of Topological Data Analysis (TDA) applied to 3D point clouds
- Create user interface for TDA 3D damage classification model by PyQt5
Business Transformation Intern at Mediterranean Shipping Company
- Successfully improved logistics efficiency by employing big-scale data transformation techniques utilizing R, VBA, and MS SQL
Research Staff at Research Foundation CUNY
- Conducted AI-based social media sentiment classification and enhanced model precision
Education
Ph.D. in Computer Science – CUNY Graduate Center
M.S. in Data Science – CUNY Graduate Center
B.S. in Information System Informatics – CUNY College of Staten Island
