Run Wang

Summary

Research Assistant at Clemson University focusing on 3D Vision, Generative Models, and Trustworthy AI.

Education

• Ph.D. in Computer Science

  2029 (expected)
  Clemson University

  Concentration: 3D Vision, Generative Model, Trustworthy AI for AV
• M.S. in Electrical and Computer Engineering

  2023
  Carnegie Mellon University

  GPA: 3.71/4.0
• B.S. in Computer & Systems Engineering

  2021
  Rensselaer Polytechnic Institute

  GPA: 3.73/4.0

Work Experience

• Application Developer – Fullstack

  2023-05 – 2024-04
  Computer Packages Inc., Rockville, MD

  • Assisted migration from legacy systems to newer technologies
  • Ensured data integrity and optimized SQL Server queries
  • Utilized stored procedures and query tuning techniques

Research Experience

• Research Assistant

  2025-08 – Present
  Vision and Learning Lab, Clemson, SC
• Research Assistant

  2022-05 – 2023-05
  MiSUMi & Carnegie Mellon University, Pittsburgh, PA

  • Developed graph-based models to extract component-level information from engineering drawings using PyTorch
  • Achieved over 90% accuracy in component extraction
• Research Assistant

  2022-01 – 2022-05
  CyLab, Carnegie Mellon University, Pittsburgh, PA

  • Collected 80+ Linux malware samples and traced dynamic system-level behaviors
  • Created an in-house database with 14 selected behavior features
• Research Assistant

  2020-01 – 2020-12
  RPI-IBM Cognitive and Immersive Systems Lab, Troy, NY

  • Built a real-time gesture recognition system using C# and Python
  • Collected skeleton data from 600+ samples across diverse participants

Skills

Publications

• MAPP: Predictive UI View Pre-caching for Improving the Responsiveness of Mobile Apps

  2025
  IEEE/ACM International Symposium on Quality of Service (IWQoS 2025)

  Run Wang, et al. ()

  View Publication
• Component Segmentation of Engineering Drawings Using Graph Convolutional Networks

  2023
  Computers in Industry

  Wentai Zhang, et al. (Acknowledged (not listed as an author): Run Wang)

  View Publication

Project Experience

• User Recommendation MicroService

  2022-08 – 2022-12
  Built a user recommendation system using FastAPI, Vert.x, Spark Scala on AWS and GCP, achieving 10,000 RPS within a $0.7/hr budget.

  View Project
• WeCloudChat Service

  2022-08 – 2022-09
  Deployed RESTful Spring applications on GKE, managed scaling with HPA, and configured Azure Front Door for multi-cloud routing.

  View Project
• Driver Matching System with Streaming Processing

  2022-01 – 2022-03
  Implemented a real-time driver matching system and managed IoT streams with Samza API.

  View Project

Research Interests

• Research Interests

  3D Vision, Generative Model, Trustworthy AI, AI Security for Autonomous Vehicles