Smart City and IoT Research Group
The Smart City and IoT (Internet of Things) Research Group focuses on advancing technologies that enhance urban living through intelligent, connected systems. Our research explores the integration of IoT devices, data analytics, and smart infrastructure to create sustainable, efficient, and responsive cities. By developing innovative solutions in areas such as smart transportation, energy management, environmental monitoring, and public safety, our group aims to transform urban environments into more livable and resilient spaces for communities.
Kraus seminar on smart cities research (SCRES'26)
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IEEE HONET 2023 group photo
The group meets every week. Faculty, students and staff are welcome to attend. To find out current weekly meeting time please contact us.
If you are interested in collaborative research, please contact us.
Haider, S.A., Zubairi, J.A. & Idwan, S. Mapping and just-in-time traffic congestion mitigation for emergency vehicles in smart cities. Springer Computing (2024). https://doi.org/10.1007/s00607-024-01345-3
Idwan, Sahar, Junaid Ahmed Zubairi, Syed Ali Haider and Wael Al Etaiwi. “Reactive Traffic Congestion Control by Using a Hierarchical Graph.” J. Univers. Comput. Sci. 30 (2024): 449-461.
Junaid A. Zubairi, S. Idwan, Syed Ali Haider and D. Hurtgen, "Smart City Traffic Management for Reducing Congestion," 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Marietta, GA, USA, 2022, pp. 225-230, doi: 10.1109/HONET56683.2022.10018963.
Junaid Zubairi conducted a research seminar Jan. 29 at Kennesaw State University’s College of Engineering, Atlanta, GA. The seminar, “Smart City Traffic Incident Management Research at Fredonia,” was devoted to achievements of the smart city research group at SUNY Fredonia.
M. Johnson, invited talk on 'Tackling Road Congestion through Machine Learning, Hierarchical Graphs, and Just-in-Time Congestion Response', 20th IEEE HONET-ICT Conference December 2023
J. Zubairi, keynote presentation on 'Design and Development of DLTEAM (Deep Learning based Traffic Enumeration and Analysis Module) Smart Road Monitoring System'., 20th IEEE HONET-ICT Conference December 2023