Wei Feng

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.

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

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