Research & Engineering
Dr. Jiayin Zhang (Jaan Zhang, 张嘉寅)
I am a Research Scientist at Bosch Corporate Research in Shanghai, where my primary focus is the advancement of vehicle electrical and electronic (E/E) architecture. My professional objective is to adapt and integrate robust, reliable technologies originally designed for large-scale datacenters into modern vehicular systems, to enhance network performance, bolster system security, and improve deep system observability.
Prior to my journey at Bosch, I served as an intern at VMware, specializing in large-scale data-center workload scheduling. I hold a Ph.D. in Control Science and Engineering from East China University of Science and Technology. My academic research concentrated on optimizing resource allocation, task offloading, and energy-efficient scheduling across distributed edge and cloud networks.
Research Interests
Experience
-
Jul 2025 -
Research Scientist, Bosch Research Full-time
Shanghai, China — Research on vehicle electrical/electronic architecture and emerging technologies.
-
Jan 2025 - Jun 2025
Strategy Intern, Bosch Digital Internship
Shanghai, China — Public cloud infrastructure operation and compliance management.
-
Apr 2024 - Dec 2024
Strategy Intern, Bosch Research Internship
Shanghai, China — Research on Internet-connected vehicles, V2X communication, and distributed cloud infrastructure.
-
Jul 2022 - Mar 2024
MTS Intern, VMware Internship
Shanghai, China — Large-scale data-center workload scheduling and optimization.
-
Jan 2018 - Jun 2025
Full Stack Designer & Developer, insdim design office Self-employed
Shanghai, China — UI/UX research, design, and development; internal IT infrastructure management; cross-team project management.
Selected Publications
View full list on Google Scholar-
Handling hierarchy in cloud data centers: A hyper-heuristic approach for resource contention and energy-aware virtual machine management
DOI: 10.1016/j.eswa.2024.123528 -
Cold-start-aware cloud-native parallel service function chain caching in edge-cloud network
DOI: 10.1109/JIOT.2024.3369620 -
Elastic task offloading and resource allocation over hybrid cloud: A reinforcement learning approach
DOI: 10.1109/TNSM.2023.3348124 -
Cold-start aware cloud-native service function chain caching in resource-constrained edge: A reinforcement learning approach
DOI: 10.1016/j.comcom.2022.09.004
Education
-
Sep 2020 - Jun 2025
PhD (Successive Postgraduate and Doctoral Programs), School of Information Science and Engineering
Supervised by Prof. Huiqun Yu at East China University of Science and Technology, Shanghai, China
-
Sep 2016 - Jun 2020
Bachelor, School of Information Science and Engineering
East China University of Science and Technology, Shanghai, China
Awards
-
Dec 2024
Best Intern at Bosch Research
-
Nov 2024
2024 National Scholarship