Director
Bio: Dr. Houtan Jebelli earned his Ph.D. in Civil Engineering – Construction Engineering and Management from University of Michigan. He received his bachelor′s degree in Civil Engineering from Tehran Polytechnic University in 2012. He received an M.Sc. in Structural Engineering from Sharif University of Technology in 2013. Dr. Jebelli completed a second M.Sc. in Construction Engineering and Management from the University of Nebraska-Lincoln in 2015. While pursuing his Ph.D., He received his third M.Sc. in Electrical Engineering and Computer Science with a minor in Biomedical Engineering in 2016. He has received several awards and fellowships, including the Charles M. Eastman Top Ph.D. Paper Award
two Outstanding Thesis Awards, the Rackham Research Grant, the John L. Tishman Fellowship, and the Calvin C. Solem Foundation Fellowship. He is also serving as a reviewer for a number of journals and symposia in the field of Civil Engineering and Electrical Engineering and Computer Science and is an active member of professional communities like the ASCE Data Sensing and Analysis (DSA) and the ASCE Visualization, Information Modeling, and Simulation (VIMS) committees.
Interests Areas: Data science, Automation, and Robotics in Construction; Sensing and Modeling workers’ behaviors; Applications of Wearable Biosensors in the Field; Virtual and Augmented Reality for Health and Safety Management; Human-centered CPS Systems; Human-robot Collaboration.
Interests Areas: Data science, Automation, and Robotics in Construction; Sensing and Modeling workers’ behaviors; Applications of Wearable Biosensors in the Field; Virtual and Augmented Reality for Health and Safety Management; Human-centered CPS Systems; Human-robot Collaboration.
Members
Dr. Habibnezhad received his Ph.D. in construction engineering and management from the University of Nebraska – Lincoln (UNL) in August 2019. He earned his B.S. in Civil Engineering and first M.S. in Structural Engineering from Sharif University of Technology. During his Ph.D. program at UNL, he obtained his second M.S. in Computer Science as well. His research topics are mainly concentrated on advanced mixed reality modeling for human-robot interaction, high-level virtual avatar simulation for investigating the role of elevation above grade on falling, design of neurophysiological tests to measure task performance in destabilizing environment, and use of computer vision and robotics for construction automation. In his spare time, he enjoys reading about new technologies and cooking new recipes.
Yizhi Liu is a Ph.D. student in the Architectural Engineering Department at the Pennsylvania State University, University Park. He received his bachelor’s degree in Construction Management from Tianjin University in 2017. He received his master’s degree in Construction Engineering and Management from the University of Michigan, Ann Arbor in 2019. He also earned a Data Science certification at Umich in 2019. His research focuses mainly on wearable sensors for personalized construction safety. Beyond his research, he enjoys playing badminton and hiking.
Shahrad Shakerian is a Ph.D. student in the Architectural Engineering Department at Penn State. He earned his master degree in construction engineering and management from the K. N. Toosi University of Technology. He received his bachelor’s degree in Civil Engineering from the Isfahan University of Technology in 2017. His research interests include construction automation and robotics, and IOT applications for smart cities, and advanced optimization methods for project backlog management.
Jacob Ringer is an Architectural Engineering undergraduate student at Penn State University. He is from Allentown, PA and enjoys running and traveling. He is interested in both structural and construction management.
Jerome Jackson is an Architectural Engineering undergraduate student at Pennsylvania State University. He is from Los Angeles, CA and enjoys participating in physical activities. He is interested gaining critical research experience in order to enhance his skill set.