Biography:
Suining He is currently working as the Assistant Professor at the School of Computing, the University of Connecticut (UConn) since 09/2019. He leads the UConn's Ubiquitous and Urban Computing Lab.
Before joining UConn, he worked as a postdoctoral research fellow at the Real-Time Computing Lab (RTCL), at the Department of Electrical Engineering and Computer Science (EECS), The University of Michigan, Ann Arbor, MI during 11/2016 -- 08/2019. Suining He received the Ph.D. degree in Computer Science and Engineering, Department of Computer Science and Engineering (CSE), from the Hong Kong University of Science and Engineering (HKUST) in 08/2016, and the B.Eng degree (summa cum laude) in Mechanical Design, Manufacturing, and Automation, the School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST) in 06/2012.
Suining He received the NSF CAREER Award in 2023, Google Research Scholar Program Award and NVIDIA Applied Research Accelerator Program Award in 2021, and two UConn Research Excellence Program (REP) Awards in 2022 and 2020, and held the Google PhD Fellowship in Mobile Computing in 2015, HKUST School of Engineering (SENG) PhD Research Fellowship Award in 2015--2016, and Hong Kong Telecom Institute of Information Technology (HKTIIT) Post-Graduate Excellence Scholarship in 2016. His scholarly works appear in WWW, SenSys, UbiComp, INFOCOM, TKDE, and TMC, and received the IEEE MASS Best Paper Runner-up Award in 2020 and IEEE RTSS Outstanding Paper Award in 2021. He was ranked among the Stanford's World's Top 2% Scientists in 2020-2024. He serves as the editor for the IEEE Journal of Indoor and Seamless Positioning and Navigation (J-ISPIN) since 2023. He received the UConn Office of the Provost Excellence in Teaching Award in 2020. His core location-based service (LBS) technologies developed, patented, and transferred during his PhD studies have led to direct industrial and long-term societal impacts.
Suining's research is supported by National Science Foundation (NSF), United States Department of Agriculture (USDA), Google, NVIDIA, General Electric (GE), Cigna, Transportation Infrastructure Durability Center (TIDC), Department of Transportation (DOT), SafeGraph, StreetLight Insight, and internal grants from UConn's Office of the Vice President for Research (OVPR).
Contact Me: The best way to contact me is via emails. If you don't get my reply in 48 hours, please feel free to send it again.
[Openings] We are looking for self-motivated PhD students who are committed to reinforcement learning, cyber-physical system and mobile computing research for 2025Fall. Please feel free to contact [email protected] with CV, Transcripts, as well as TOEFL and GRE Scores attached if you are interested.
Contact Information:
Email: suining.he[AT]uconn[DOT]edu
ITE 337, 371 Fairfield Way Unit 4155
Storrs, CT 06269-4155
Research Interests [Research]:
Selected Recent Publications (underlined are my PhD students):
My Recent Publications [Google Scholar] [DBLP] [Pub List] [Research Gate] [ORCiD]:
Resources for Current and Prospective Students:
Suining He is currently working as the Assistant Professor at the School of Computing, the University of Connecticut (UConn) since 09/2019. He leads the UConn's Ubiquitous and Urban Computing Lab.
Before joining UConn, he worked as a postdoctoral research fellow at the Real-Time Computing Lab (RTCL), at the Department of Electrical Engineering and Computer Science (EECS), The University of Michigan, Ann Arbor, MI during 11/2016 -- 08/2019. Suining He received the Ph.D. degree in Computer Science and Engineering, Department of Computer Science and Engineering (CSE), from the Hong Kong University of Science and Engineering (HKUST) in 08/2016, and the B.Eng degree (summa cum laude) in Mechanical Design, Manufacturing, and Automation, the School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST) in 06/2012.
Suining He received the NSF CAREER Award in 2023, Google Research Scholar Program Award and NVIDIA Applied Research Accelerator Program Award in 2021, and two UConn Research Excellence Program (REP) Awards in 2022 and 2020, and held the Google PhD Fellowship in Mobile Computing in 2015, HKUST School of Engineering (SENG) PhD Research Fellowship Award in 2015--2016, and Hong Kong Telecom Institute of Information Technology (HKTIIT) Post-Graduate Excellence Scholarship in 2016. His scholarly works appear in WWW, SenSys, UbiComp, INFOCOM, TKDE, and TMC, and received the IEEE MASS Best Paper Runner-up Award in 2020 and IEEE RTSS Outstanding Paper Award in 2021. He was ranked among the Stanford's World's Top 2% Scientists in 2020-2024. He serves as the editor for the IEEE Journal of Indoor and Seamless Positioning and Navigation (J-ISPIN) since 2023. He received the UConn Office of the Provost Excellence in Teaching Award in 2020. His core location-based service (LBS) technologies developed, patented, and transferred during his PhD studies have led to direct industrial and long-term societal impacts.
Suining's research is supported by National Science Foundation (NSF), United States Department of Agriculture (USDA), Google, NVIDIA, General Electric (GE), Cigna, Transportation Infrastructure Durability Center (TIDC), Department of Transportation (DOT), SafeGraph, StreetLight Insight, and internal grants from UConn's Office of the Vice President for Research (OVPR).
Contact Me: The best way to contact me is via emails. If you don't get my reply in 48 hours, please feel free to send it again.
[Openings] We are looking for self-motivated PhD students who are committed to reinforcement learning, cyber-physical system and mobile computing research for 2025Fall. Please feel free to contact [email protected] with CV, Transcripts, as well as TOEFL and GRE Scores attached if you are interested.
Contact Information:
Email: suining.he[AT]uconn[DOT]edu
ITE 337, 371 Fairfield Way Unit 4155
Storrs, CT 06269-4155
Research Interests [Research]:
- Cyber-Physical Systems (CPS): Learning-Enabled CPS, Embodied Artificial Intelligence
- Smart & Connected Communities (S&CC): Mobility-on-Demand, Socio-Technical Systems
- Human-Centered Computing (HCC): Human-(Micro)Mobility Interaction
- Urban Computing Cyberinfrastructure: Socially-Conscious AI, Location and Sensor Data Privacy-Preserving Learning
- Machine Learning & Artificial Intelligence (ML & AI): Multimodal Large Language Model (MLLM), Foundation of Indoor Localization
Selected Recent Publications (underlined are my PhD students):
- M. Tabatabaie, S. He, H. Wang, and K. G. Shin, "Beyond Taming Electric Scooters: Disentangling Understandings of Micromobility Naturalistic Riding", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2024), vol. 8, no. 129, pp. 1--24, August 2024. [pdf].
- M. Tabatabaie, S. He, and K. G. Shin, "Cross-Modality Graph-based Language and Sensor Data Co-Learning of Human-Mobility Interaction", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023), vol. 7, no. 125, pp. 1--25, September, 2023. [pdf].
- X. Yang, S. He, and M. Tabatabaie, "Equity-Aware Cross-Graph Reinforcement Learning for Bike Station Network Expansion", in Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2023 (SIGSPATIAL 2023), (Hamburg, Germany), November 13-16, 2023. Acceptance Rate: 20.1% (38 out of 189), [pdf][pdf2][video].
- X. Yang, S. He, B. Wang, and M. Tabatabaie, "Spatio-Temporal Graph Attention Embedding for Joint Crowd Flow and Transition Predictions: A Wi-Fi-based Mobility Case Study", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2022), vol. 5, no. 187, pp 1–24, Dec. 2021. [pdf][pdf2].
- M. Tabatabaie, S. He and X. Yang, "Reinforced Feature Extraction and Multi-Resolution Learning for Driver Mobility Fingerprint Identification", in Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2021 (SIGSPATIAL 2021), pp. 69--80, November 2-5, 2021. Acceptance Rate: 22.4% (34 out of 152), [pdf][pdf2].
My Recent Publications [Google Scholar] [DBLP] [Pub List] [Research Gate] [ORCiD]:
Resources for Current and Prospective Students:
- How to read, write and present papers (by Prof. Vaidya at UIUC)
- How to give a talk (by Profs. Jones, Hughes and Launchbury)
- Student mentoring (by Prof. Wu)
- Writing skills
- Writing technical articles
- Advice on research and writing
- A link on writing
- Advice for writing papers (From Prof. Ivan Stojmenovic)
- Writing a math paper (by Profs. Kleiman and Tesler)
- Paper writing with MS Words (by Prof. Lionel Ni)
- Task of a referee (good to know before you write a paper)
- Academic career
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