Gao Chuanchao

Gao Chuanchao

Nanyang Technological University

I am a Ph.D. student in the College of Computing and Data Science at Nanyang Technological University (NTU), Singapore, supervised by Prof. Arvind Easwaran. I am a member of the Cyber-Physical Systems Research Group at NTU.

My research focuses on algorithmic foundations for heterogeneous resource allocation and scheduling, with an emphasis on combinatorial optimization and approximation algorithms motivated by real-time and distributed systems.

I am actively seeking postdoctoral positions starting in February 2026. I am particularly interested in research directions related to heterogeneous resource scheduling and network-integrated computing systems, with a focus on developing provable, mathematically grounded algorithms that bridge theory and practice.

📎 Download my Curriculum Vitae .

🔬 Research Interests

  • Approximation algorithms
  • Combinatorial optimization
  • Real-time scheduling
  • Heterogeneous resource allocation
  • Network-integrated and cyber-physical systems

🎓 Education

  • Aug 2021 – Jan 2026 Ph.D. in Computer Science and Engineering, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore
  • Jan 2020 – Jul 2021 Graduate Studies (M.Eng. coursework and research), School of Computer Science and Engineering, Nanyang Technological University, Singapore
  • Aug 2013 – Jul 2017 B.Eng. in Mechanical and Aerospace Engineering (First Class Honours), School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

💻 Open Source Project

  • mecRT A simulation framework for real-time mobile edge computing, supporting full task lifecycle management, including task registration, resource allocation and scheduling, dynamic offloading control.

📝 Publication

2025

  • Chuanchao Gao, Arvind Easwaran. Real-Time Service Subscription and Adaptive Offloading Control in Vehicular Edge Computing. IEEE Real-Time Systems Symposium (RTSS), 2025. [HTML] [Download] [Open Source Project: mecRT]
  • Chuanchao Gao, Arvind Easwaran. Energy-Efficient Joint Offloading and Resource Allocation for Deadline-Constrained Tasks in Multi-Access Edge Computing. IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2025. [HTML] [Download]
  • Chuanchao Gao and Arvind Easwaran. VecSim, a Vehicular Edge Computing Simulator for Real-Time Applications. Demo Session of IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2025. [HTML] [Download] [Open Source Project: mecRT]
  • Chuanchao Gao and Arvind Easwaran. Local Ratio based Real-time Job Offloading and Resource Allocation in Mobile Edge Computing. International Workshop on Real-time and IntelliGent Edge computing (RAGE), 2025. [HTML] [Download]

2024

  • Chuanchao Gao, Niraj Kumar, Arvind Easwaran. Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing. IEEE Real-Time Systems Symposium (RTSS), 2024. [HTML] [Download] [Experiments Data]
  • Niraj Kumar, Chuanchao Gao, Arvind Easwaran. Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024. [HTML] [Download] [Experiments Data]

2022

  • Chuanchao Gao, Aryaman Shaan, Arvind Easwaran. Deadline-constrained Multi-resource Task Mapping and Allocation for Edge-Cloud Systems. IEEE Global Communications Conference, 2022. [HTML] [Download] [Experiments Data]

  • Chuanchao Gao, Arvind Easwaran. Work-in-Progress: Deadline-Constrained Multi-Resource Allocation in Edge-Cloud System. IEEE Real-Time Systems Symposium (RTSS), 2022. [HTML] [Download]

2021

  • Chuanchao Gao, Heejong Park, and Arvind Easwaran. An anomaly detection framework for digital twin driven cyber-physical systems. International Conference on Cyber-Physical Systems (ICCPS), 2021. [HTML] [Download]

🏅Patents

  • Heejong Park, Chuanchao Gao, Arvind Easwaran, Cheng Chia Loon. Material Handling Method Based on Digital Twin. Taiwan Patent No. I806148 B.

🏅Awards

  • Best Demo Award, RTCSA 2025 — VecSim: A Vehicular Edge Computing Simulator for Real-Time Applications [mecRT]
  • NTU Research Scholarship, 2021–2025
  • NTU Science and Engineering Undergraduate Scholarship, 2013–2017

💻 Work Experience

  • Equipment Engineer, United Microelectronics Corporation (Singapore) Jun 2017 – Jan 2020
  • Research Assistant, Nanyang Technological University, Singapore Jun 2020 – Jun 2021