Research Areas

Smart Buildings, Cities, and Transportation Systems

Many different components factor into the coordination of daily activity in urban areas, from building security to traffic flow. "Smart" buildings, cities, and transportation systems use advanced technologies to improve these various components. Research on smart buildings, cities, and transportation systems explores how technology can increase efficiency, improve safety, reduce energy use, and more, with the overall aim of bettering these for people.

Research Highlights

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Dr. Jacob Biehl: Carving the path to safer and smarter buildings

Developing research can utilize sensing technologies that focus solely on how the space is being used — not who uses it — in order to fight the COVID-19 pandemic while keeping personal security intact.

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Paper on explainable AI in automated vehicles by Dr. Na Du and PhD Students Accepted by IEEE Transactions on Human-Machine Systems

Dr. Na Du, alongside PhD Students Yaohan Ding and Lesong Jia, had their paper on explainable AI in automated vehicles was accepted by IEEE Transactions on Human-Machine Systems.

Affiliated Faculty
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Jacob Biehl, Associate Professor

Dr. Biehl’s research interests are at the intersection of systems and human computer interaction (HCI).  Most recently, his work has centered on designing, deploying, and evaluating IoT technologies that address important issues in workflow and work practice.

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Na Du, Assistant Professor

Dr. Du's research interests include human factors in smart city domains, human-robot interaction, human-centered computing and design.

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Nadine von Frankenberg, Teaching Assistant Professor

Dr. von Frankenberg's research interests include ubiquitous computing, smart buildings, IEQ, human-in-the-loop control, digital health, and educational research.

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Stephen Lee, Assistant Professor

Dr. Lee's research interests lie broadly in the area of distributed systems and cyber-physical systems (CPS), with an emphasis on sustainability. 

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Daniel Mosse, Professor

Dr. Mosse's main research interest is in the allocation of resources (computing and network resources) in the realm of real-time, with main concerns being power management, security, and fault tolerance. 

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Nils Murrugarra-Llerena, Teaching Assistant Professor

Dr. Murrugarra’s teaching and research interests encompass computer vision, machine learning, and natural language processing.

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Konstantinos Pelechrinis, Associate Professor

Dr. Pelechrinis' research interest include network science and the development of metrics and models for complex systems, particularly sports analytics and urban informatics.