Sen Wang

Sen Wang

Biography

I obtained my Ph.D. degree in Computer Engineering at Virginia Tech, working with Prof. Haibo Zeng and Prof. Ryan Williams. Before it, I got my M.S. in ECE with Prof. Frank Dellaert at Georgia Tech, and my bachelor’s degree in Automation Engineering from Northeastern University in China.

Everything can be optimized! In my research, I utilize math to optimize robots, real-time systems, and machine learning. My previous experiences range from high-level applications (robotics, autonomous driving, machine learning) to low-level systems (OS, scheduling, system design) and computer architecture. My other research interests include data-centric and trustworthy ML, and distributed systems.

I’m going to join Google after graduation in 2025. I also had a wonderful internship at Qualcomm in San Diego in 2024 summer.

Interests
  • Optimization
  • Robotics
  • Real-Time System
  • Computer Architecture
  • Machine Learning System
Education

  • PhD in Computer Engineering, 2025

    Virginia Tech

  • M.S. in Electrical and Computer Engineering, 2020

    Georgia Institute of Technology

  • BSc in Automation Engineering, 2018

    Northeastern University

Selected Publications

See the latest full list of the publication at Google Scholar.

Sen Wang, Dong Li, Ashrarul H Sifat, Shao-Yu Huang, Xuanliang Deng, Changhee Jung, Ryan K Williams, Haibo Zeng (2024). Optimizing Logical Execution Time Model for Both Determinism and Low Latency. 2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS).

Link

Sen Wang, Ryan K Williams, Haibo Zeng (2023). A General and Scalable Method for Optimizing Real-Time Systems with Continuous Variables. 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS).

Link Open-source

Sen Wang, Jiaqi Chen, Xuanliang Deng, Seth Hutchinson, Frank Dellaert (2020). Robot calligraphy using pseudospectral optimal control in conjunction with a novel dynamic brush model. IEEE International Workshop on Intelligent Robots and Systems (IROS).

Link

Awards

  • 2020 IROS Best Entertainment and Amusement Paper Award Finalist
  • Pratt Fellowship Award

    • Services

    Reviewer for the following journals and conferences:

  • International Conference on Robotics and Automation (ICRA)
  • Journal of System Architecture
  • ACM Transactions on Embedded Computing Systems
  • The Journal of Supercomputing
  • Internet Of Things
  • IEE Embedded Systems Letters
  • Workshop on OPtimization for Embedded and ReAl-time systems (OPERA) co-located with the 45th IEEE Real-Time Systems Symposium (RTSS)

    • Teaching

    Graduate Teaching Assitant for the following courses:

  • CS6476 Intro to Computer Vision (Georgia Tech)
  • ECE5494 Innovation Pathways in Artificial Intelligence and Machine Learning (Virginia Tech)
  • ECE5554 Computer Vision (Virginia Tech)
  • ECE3714 Intro to Control Systems (Virginia Tech)

    • Contact