ORCID iD: 0000-0002-5457-6967
Scopus Author ID: 55837681100
Google Scholar Profile: RUF3lHQAAAAJ

Metrics for Academic and Research Impact

Dr. Zimu Zhou is currently an assistant professor at the School of Data Science (SDSc), City University of Hong Kong. He received his Ph.D. in 2016 in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST), and his B.E. in 2011 in the Department of Electronic Engineering, Tsinghua University. From 2016 to 2019, he was a postdoctoral researcher at the Computer Engineering and Networks Laboratory, ETH Zurich. From 2020 to 2022, he was an assistant professor at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Journal Editorship
  • Associate Editor, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2020 -
  • Young Associate Editor, Springer Frontiers of Computer Science (FCS), 2020 - 2022
• Conference Chair/Co-Chair
  • 2024: WoWMoM (PhD Forum Co-Chair), CSCAIoTSys (Workshop co-located with CPS-IoT Week 2024, Workshop Chair)
  • 2023: ICPADS (TPC Co-Chair), MDM (Proceedings Chair), AIoTSys (TPC Vice-Chair)
  • 2022: ICPADS (TPC Track Co-Chair, Big Data & Machine Learning System Track)
  • 2021: MASS (TPC Track Co-Chair, AI/ML-based Smart Design Track)
• Conference TPC Member
  • 2025: DASFAA (SPC), ICME, IJCAI (SPC), KDD, SenSys
  • 2024: DASFAA (SPC), KDD, SenSys, TheWebConf, VLDB
  • 2023: DCOSS-IoT, ICDE, KDD, PerCom, VLDB, TheWebConf
  • 2022: AAAI (Senior PC), KDD, PerCom, SenSys
  • 2021: AAAI, CVPR, KDD, WoWMoM
  • 2020: DASFAA, WoWMoM
  • 2019: ICCCN, ICPADS, WCNC, WoWMoM
  • 2018: DCOSS, MobiQuitous, WCNC, WoWMoM
  • 2017: ICPADS, MobiQuitous, UIC, WoWMoM

• Best Paper Award, Springer DASFAA, 2023
• Best Paper Award, IEEE MDM, 2021
• Best Student Paper Award, IEEE MDM, 2021
• Best Innovation Paper Award, IEEE UIC, 2019
• Distinguished Paper Award, ACM IMWUT (vol.1), 2018
• Best Paper Award, IEEE ICPADS, 2017
• Honorable Mention Award, ACM CHI, 2017
• Best Paper Award, Tsinghua Science and Technology, 2016
• Best Paper Runner-Up, EAI MobiQuitous 2016

Dr. Zhou works on mobile and ubiquitous computing, with a focus on AIoT (AI + IoT). The vision is to integrate sensing, computing and decision-making into everyday IoT systems for intelligent individual and urban services. He designs algorithms and software to enable efficient, scalable, and high-fidelity perception and reaction on resource-constrained IoT platforms and systems. His research adopts an interdisciplinary approach and draws insights from mobile systems, machine learning, and domain sciences. Some on-going research topics include:

• On-device AI
• Federated Learning