Wei Geng

Wei Geng is a doctoral researcher and Ph.D. candidate at the Chair of Connected Mobility (I11) in the Department of Informatics at Technical University of Munich (TUM). He is supervised by Prof. Dr.-Ing. Jörg Ott at TUM, advised by Prof. Nitinder Mohan at TU Delft, and mentored by Prof. Dirk Kutscher at HKUST(GZ).

His educational background includes:

• Ph.D. Student at CIT, Technical University of Munich, Munich, Germany (2024.10~)
• M.Phil. at The Hong Kong University of Science and Technology, Guangzhou, China (2022.9~2024.10)
• M.Eng. at Fudan University, Shanghai, China (2017~2020)
• B.Eng. at Harbin Engineering University, Harbin, China (2013~2017)
• Visiting Student at Politecnico di Milano, Milan, Italy (2023.3)

Wei Geng's research focuses on Accelerating Critical Applications by Edge Computing and AI. His work addresses Edge and Fog Computing for latency-sensitive applications, particularly offloading deep learning inference tasks from mobile/IoT devices to edge servers. He investigates ML-enabled networked systems including ML-based task scheduling and distributed inference frameworks. His earlier work at Huawei involved programming language runtime and OS optimization, specifically Golang runtime scheduler and OS kernel improvements.

Wei Geng teaches and supervises at TUM:

• Summer Term 2025: Seminar - Hot Topics in Edge Computing (IN2107, IN4417)
• Winter Term 2024/25: Master Practical Course: Edge Computing and the Internet of Things (IN2106, IN4261)

He actively seeks Master's and Bachelor's thesis students to supervise and maintains regular office hours (13:00-14:00 Tue, Wed) in office 01.05.040. Prior to his Ph.D., he worked as a Full-time R&D Software Engineer at Huawei Technologies (2020-2022), with internships at Ant Group (2019) and eBay (2018).