معرفی
Samiul Hasan is an Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida (UCF), where he is also a member of the Future City Initiative. He leads the Urban Networks, Mobility, and Dynamics (UNMD) Lab, focusing on data-driven approaches for smart and resilient urban systems. His research is supported by funding from the National Science Foundation (NSF), Florida Department of Transportation (FDOT), and various University Transportation Centers.
Education:
- Ph.D. in Transportation Engineering, Purdue University, 2013
- M.S. in Civil and Transportation Engineering, Bangladesh University of Engineering and Technology, 2007
- B.S. in Civil Engineering, Bangladesh University of Science and Technology, 2004
His research spans transportation data science, machine learning, hurricane evacuation modeling, disaster analytics, infrastructure resilience, and human mobility. He leverages large-scale datasets from mobile devices, social media, smart cards, and traffic sensors to model urban dynamics and emergency response systems. His work integrates deep learning, graph neural networks, and agent-based modeling to understand urban mobility, traffic congestion, and evacuation behavior.
His recent publications reveal a strong focus on using real-time and social media data to predict evacuation traffic, assess crash risks during disasters, model community resilience, and enhance infrastructure robustness. Key themes include disaster preparedness, urban network modeling, and the application of AI in transportation. His lab develops tools for traffic forecasting, evacuation simulation, and resilience assessment, often using multi-source data fusion.
Scientific Awards:
- Best Dissertation Award 2014 from INFORMS TSL Society for his Ph.D. work on “Modeling Urban Mobility Dynamics using Geo-location Data”
Dr. Hasan has advised several graduate students who have gone on to careers in data science, transportation modeling, and energy sectors. His lab collaborates with institutions such as FIU, Virginia Tech, WVU, and SUNY Buffalo. Funded projects include ORDER-CRISP (NSF), disaster analytics with UTCs, arterial traffic management with FDOT, and transit smart card analysis. He actively promotes interdisciplinary research to build resilient urban infrastructure and improve emergency response through data science and network modeling.
Labs and Teams: He directs the UNMD Lab at UCF, which brings together researchers in data science, civil engineering, and urban planning to develop innovative solutions for urban challenges. The lab emphasizes real-world applications in mobility, safety, and resilience, particularly during extreme events.
