smart construction, smart city, smart building
Our mission is to build and manage smart cities including infrastructure systems and buildings through smart construction and management. We conduct basic research in areas that include sensing and data analytics (AI, data science), information modeling/visualization and simulation (digital twin, VR), and human-robot interfaces, in the context of construction management, infrastructure management, and building science. We apply this research to projects that include teleoperation in construction workplaces (automation in construction), AI-driven disaster risk prediction (e.g., hurricanes, pandemics), smart city digital twin for vulnerable populations (e.g., older adults) and regions (e.g., coastal communities), smart building, and cyber-physical systems (CPS) for improving STEM education.
Our members are students, faculty, and affiliates of Texas A&M University (TAMU). We come from a variety of academic backgrounds across engineering and science. We currently have openings for highly motivated and driven students across multi-disciplinary backgrounds! If you are interested, please contact Dr. Ham sharing your CV and passion.
Mar. Journal paper by Kim, J., Ham, Y., and Park, H. on “Underground Metal Pipeline Localization Using Low-cost Wireless Magnetic Sensors Mounted on an Excavator” was accepted by IEEE Transactions on Industrial Electronics.
Mar. Jinsol presented his research on Exploring Human-Machine Interfaces for Teleoperation of Excavator in CRC 2022 conference, Arlington, Virginia.
Feb. Dr. Ham has been selected as a Assistant Specialty Editor in the Information Technologies (IT) area for American Society of Civil Engineers (ASCE) Journal of Construction Engineering and Management (JCEM).
Jan. Minguk Kim from Incheon National University, South Korea joined Ham Research Group as a Visiting Student. Welcome, Minguk!
Dec. Journal paper by Lee, J., Ham, Y., Park, H. and Kim, J. on “Challenges, Tasks, and Opportunities in Teleoperation of Excavator towards Human-in-the-loop Construction Automation” was accepted by Automation in Construction, Elsevier.
Dec. Journal paper by Kamari, M. and Ham, Y. on “AI-based Risk Assessment for Construction Site Disaster Preparedness through Deep Learning-based Digital Twinning” was accepted by Automation in Construction, Elsevier.
Oct. Ruchita joined our research group as a master student. Congrats and Welcome aboard!
Sep. Dr. Ham got promoted to an Associate Professor with a History Maker Homes professorship.
Aug. Dr. Seulbi Lee (former lab member) joined Incheon National University, as an Assistant Professor. Congrats and Good luck!
Aug. Dr. Ham's team received funding from NSF to study Smart City Digital Twin for Older Adults.
Aug. Dr. Ham's team received funding from NSF to study Digital Twin Infrastructures for Coastal Community Resilience.
Aug. Yoojun joined our research group as a PhD student and received the Top Off Scholarship. Congrats and Welcome aboard!
Aug. Di joined our research group as a PhD student. Congrats and Welcome aboard!
Jul. Nicole joined our research group as an undergraduate researcher. Welcome aboard!
May. Dr. Ham received the 2020 Research Excellence Award from Department of Construction Science at Texas A&M University.
May. Salar passed the preliminary exam and now became a PhD candidate. Congrats!
Mar. Dr. Seulbi Lee (former lab member) joined Ewha Womans University, as a Research Associate. Congrats and Good luck!
Mar. Dr. Hongjo Kim (former lab member) joined Yonsei University, as an Assistant Professor. Congrats and Good luck!
Jan. Dr. Ham's team received funding from NSF to study The Future of Teleoperation in Construction Workplaces.
Jan. Dr. Ham's team received funding from NSF to build PreK-12 School Resilience in the Face of COVID-19.
Jan. Dr. Jeehee Lee (former lab member) joined the University of Nevada, Las Vegas, as an Assistant Professor. Congrats and Good luck!