Sen Wang

Sen Wang

Biography

I’m a Computer Engineering Ph.D. student at Virginia Tech, working with Prof. Haibo Zeng. Prior to joining Virginia Tech, I got my M.S. in ECE with Prof. Frank Dellaert at Georgia Tech, a bachelor’s degree in Automation Engineering from Northeastern University in China.

Everything can be optimized! In my research, I utilize math to optimize robot, machine learning, and real-time systems. My previous experiences range from high-level applications (robotics, autonomous driving, ML) to low-level operating systems (OS, scheduling, system design). I’m also interested with data-centric and trustworthy ML.

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

  • PhD in Computer Engineering, 2025 (Expected)

    Virginia Tech

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

    Georgia Institute of Technology

  • BSc in Automation Engineering, 2014

    Northeastern University

Selected Publications

See 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), accepted.

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

    • 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