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Wei GENGξ…—

πŸ“° Recent News

  • Oct 2025: Our poster paper "KUT: Towards Lightweight On-path Network Assessment for Edge Orchestration" accepted at CoNEXT 2025! πŸŽ‰


πŸ“„ Short Bioξ…—

I am a doctoral reseacher & Ph.D. candidate supervised by Prof. Dr.-Ing. JΓΆrg Ott at Chair of Connected Mobility, TUM, advised by Prof. Nitinder Mohan at TU Delft, mentored by Prof. Dirk Kutscher at HKUST(GZ). My current research interests lie in Accelerating Critical Applications by Edge Computing and AI. Before joining TUM, I obtained my M.Phil. degree from HKUST(GZ), where I was luckily advised by Prof. Pan Hui, Prof. Gareth Tyson, and Prof. Dirk Kutscher. Previously, I was a full-time Engineer researching system performance optimization at Huawei and lucky to work with Mr. Jing Liu, Dr. Wei Wang, and Dr. Sui Zhou. I obtained my M.Eng and B.Eng from Fudan University and Harbin Engineering University in 2020 and 2017 respectively. I have internships in Alipay and eBay.

πŸ’» Research Interestsξ…—

  • Edge Computing, Fog Computing
    • supporting critical applications latency-wise and efficiency-wise
    • e.g., offload DL inference tasks from mobile/IoT devices to edge servers
  • Networked Systems
    • ML-enabled, e.g., ML-based task scheduling
    • enabling-ML, e.g., distributed Inference
  • Programming Language Runtime and OS (@Huawei)
    • Golang runtime scheduler
    • OS kernel optimization

πŸ§‘β€πŸ« Teaching & Supervisionξ…—

  • Master Practical Course: Edge Computing & IoT (IN2106, IN4261) @TUM Chair of Connected Mobility
  • Seminar - Hot Topics in Edge Computing (IN2107, IN4417) @TUM Chair of Connected Mobility
  • Master/Bachelor Thesis/Guided Research/Internship Supervision @TUM
    • If you are interested in working with me, please feel free to contact me via email.
    • You can also find a list of open topics from our chair here.
    • Supervised Students:
      • Oguz Kagan Altas - M.sc. Thesis - KUT: Automated Network Traffic Measurement Framework for the Edge
      • Zihan Deng - B.sc. Intern - Measuring Heterogeneous Edge Devices AI Performance.
  • Teaching Assistant / Tutorals
    • Tutuorial - Red Bird Challenge Camp @ HKUST(GZ)
    • Teaching Assistant - Python Programming @ Fudan University

πŸ’Ό Working Experienceξ…—

  • Huawei Logo Huawei Technologies - 5G and High Performance Computing, Shanghai, 2020~2022.
  • Ant Group Logo Ant Group - Intern in Cloud Computing, Hangzhou, Summer, 2019
  • eBay Logo eBay - Intern in Big Data and Distributed Systems, Shanghai, Winter, 2018

πŸŽ“ Educationξ…—

  • Ph.D. Student - Huawei LogoCIT, TUM Logo Technical University of Munich, Munich, Germany - 2024.10~
  • M.Phil. - HKUST Logo The Hong Kong University of Science and Technology, Guangzhou, China - 2022.9~2024.10
  • M.Eng. - Fudan Logo Fudan University, Shanghai, China - 2017~2020
  • B.Eng. - HRBEU Logo Harbin Engineering University, Harbin, China - 2013~2017
  • Visiting Student - Polimi Logo Politecnico di Milano, Milan, Italy - 2023.3

🏸 Hobbiesξ…—

  • Sports: Basketball, Badminton, Ping-pong, Gym.
  • Open Source
    • A set of extensions I wrote for Raycast can be found here
  • Pen Calligraphy