Dr. Chun-Hsing (Jun) Ho received his Ph.D. degree in civil engineering from the University of Utah in 2010 with an emphasis on construction materials and pavement systems. His research brings together emerging technologies using engineering principles, innovative construction materials, Internet of Things (IoT), data analytics, computing algorithms, sensing, and GIS mapping to provide a variety of analysis methods that allow his research team to better assess the performance of civil infrastructure systems and built environment under the effect of extreme events. Prior to joining the faculty at UNL, Dr. Ho worked for Northern Arizona University in the Department of Civil Engineering, Construction Management and Environmental Engineering as Associate Professor for 10 years. Dr. Ho has 20 years of work experience from industry and academia in the areas of building construction, railroad engineering, airport engineering, and pavement engineering. Dr. Ho is a licensed professional engineer in the state of Washington.
Yi Qian received a Ph.D. degree in electrical engineering from Clemson University, in Clemson, South Carolina. He is currently a professor in the Department of Electrical and Computer Engineering, University of Nebraska-Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and government. Some of his previous professional positions include serving as a senior member of scientific staff and a technical advisor at Nortel Networks, a senior systems engineer and a technical advisor at several startup companies, an assistant professor at the University of Puerto Rico at Mayaguez, and a senior researcher at the National Institute of Standards and Technology.
I am an Assistant Professor in the School of Computing at the University of Nebraska, Lincoln. I earned a Ph.D. degree in Computer Science at Vanderbilt University in August 2020. My research interests are reachability analysis and robustness certification of deep neural networks (DNN), formal verification of autonomous cyber-physical systems(CPS) with learning-enabled components, safe and robust training for DNN, real-time verification and safe motion planning for distributed CPS. I am also interested in robust control, stability analysis of nonlinear control systems, and networked control systems. I am a co-director of the NIMBUS Lab at UNL where I lead the Verification and Validation for Assured Autonomy Group.
I am currently a Tenure Track Assistant Professor of Construction Management at the University of Nebraska-Lincoln. My career goal is to become a recognized researcher who leads the transformation to robotization in the AEC industry. My entire career is dedicated to extending the boundary of BIM toward intelligent robotization in all stages of a facility lifecycle.
Dr. Pei-Chi Huang received her PhD in the Department of Computer Science from the University of Texas at Austin under the supervision of Prof. Aloysius K. Mok, and she joined the University of Nebraska Omaha as an assistant professor. Dr. Huang is currently looking for Master and PhD students, who are interested in her research. Preference will be given to candidates who have experience in her research interests.