Run Wang

Summary

Ph.D. student in Computer Science (3D computer vision, trustworthy AI, autonomous driving) with research and industry experience spanning deep learning, mobile/edge performance optimization, and full-stack development.

Education

• Ph.D. in Computer Science

  Aug. 2025 - Present
  Clemson University

  Concentration: 3D Computer Vision, AI Security and Mobile Computing
• M.S. in Electrical and Computer Engineering

  Sep. 2021 - May 2023
  Carnegie Mellon University
• B.S. in Computer & Systems Engineering

  Sep. 2017 - May 2021
  Rensselaer Polytechnic Institute

Work Experience

• Application Developer - Full Stack

  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

• Graduate Research Assistant

  2025-08 – Present
  Clemson University, Clemson, SC

  • Supervisors: Dr. Siyu Huang and Dr. Mert D. Pese
  • Conducting research on 3D computer vision and trustworthy AI for autonomous driving systems
• Graduate Research Associate

  2024-05 – 2025-08
  Ohio State University, Columbus, OH

  • Supervisor: Prof. Xiaorui Wang
  • Designed machine learning models and time-series algorithms for mobile and edge performance optimization
  • Two papers accepted by IEEE IWQoS 2025 and IEEE INFOCOM 2026
• Research Assistant

  2022-05 – 2023-05
  CERLAB, Carnegie Mellon University, Pittsburgh, PA

  • Supervisors: Prof. Kenji Shimada and Dr. Wentai Zhang
  • Developed deep learning methods for component extraction from engineering drawings
  • Adapted PSPNet, DeepLabV3+, and SketchGNN, achieving 84% overall accuracy
• Research Assistant

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

  • Supervisor: Dr. Cai Yang
  • Collected and analyzed 80+ Linux-based malware samples via dynamic system-level tracing
  • Constructed an in-house behavioral dataset with 14 discriminative features
• Research Assistant

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

  • Supervisors: Dr. Jeff Kephart and Dr. Xiangyang Mou
  • Implemented a real-time gesture recognition system using C# and Python with Intel RealSense cameras
  • Collected 600+ gesture samples and extracted skeletal motion features

Skills

Publications

• FF3R: Feedforward Feature 3D Reconstruction from Unconstrained Views

  2026
  CVPR 2026 Findings (Acceptance Rate: )

  Chaoyi Zhou, Run Wang, et al. (Published (arXiv))

  View Publication
• FlexMap: Generalized HD Map Construction from Flexible Camera Configurations

  2026
  arXiv preprint arXiv:2601.22376 (Acceptance Rate: )

  Run Wang, Chaoyi Zhou, Amir Salarpour, Xi Liu, Zhi-Qi Cheng, Feng Luo, Mert D. Pesé, Siyu Huang (arXiv preprint)

  View Publication
• Lightweight Detection of Abnormal Battery Drain Induced by Network Operations of Mobile Apps

  2026
  IEEE International Conference on Computer Communications (INFOCOM) (Acceptance Rate: 329/1740 (18.91%))

  Run Wang, Marco Brocanelli, Xiaorui Wang (Accepted)

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

  2025
  2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS) (Acceptance Rate: 81/326 (24.8%))

  Run Wang, Zach Herman, Marco Brocanelli, Xiaorui Wang (Accepted)

  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

• Cosmospapers Research Assistant Platform

  2026-01 - Present
  Developed a RAG-based paper search engine, collected and vectorized 9000+ papers from 10+ top AI and Security conferences, and designed in-house algorithms to cluster papers and extract research-trend keywords.

  View Project
• User Recommendation MicroService

  2022-08 - 2022-12
  Developed Spark-based ETL pipelines to preprocess ~1TB Twitter dataset on GCP Dataproc; orchestrated AWS infrastructure and achieved 10,000 RPS within $0.7/hr budget.

  View Project

Research Interests

• Research Interests

  3D Vision, Trustworthy AI, AI Security for Autonomous Vehicles, Mobile Computing