Gunnar Lucko, Ph.D.
M.S., Virginia Polytechnic Institute and State University, 1999
German Diploma, Hamburg University of Technology, 2000
Ph.D., Virginia Polytechnic Institute and State University, 2003
Gunnar Lucko, Ph.D., A.M.ASCE received his Doctor of Philosophy in 2003 as a Vecellio Graduate Fellow in the Vecellio Construction Engineering and Management Program of the Via Department of Civil and Environmental Engineering at Virginia Tech and a Master of Science as a Fulbright Scholar in the same program in 1999. He also holds a five-year diploma in structural and environmental engineering from Hamburg University of Technology in his native Germany.
He is currently a tenured Associate Professor of Civil Engineering at Catholic University of America (CUA) and Director of its Construction Engineering and Management Program. His research interests are modeling, analysis, and optimization of project schedules and related vital aspects, e.g. costs and resource use, equipment operations, and engineering education. He has published over 50 peer-reviewed conference and journal papers on these topics.
He focuses on applying singularity functions, which originated in structural engineering, to construction management. Singularity functions enable rigorous algorithms to plan construction progress, measure criticality of activities, and improve financial management. He continues to expand the capabilities of these flexible functions. Additionally, he explores novel analogies from other knowledge areas to solve fundamental questions, e.g. “who should own flexibility in schedules” to reduce the risk of delays. These projects have been supported continuously by grants from the National Science Foundation since 2007.
His research accomplishments have been recognized with the prestigious 2013 Daniel W. Halpin Award for Scholarship in Construction by the Construction Institute of ASCE. He has also received the 2011 Thomas Fitch Rowland Prize of ASCE as the primary author of a journal paper on validation methods. The School of Engineering at CUA awarded him the 2013 Charles H. Kaman Award for Research Excellence and a 2010 Burns Junior Faculty Fellowship. His contributions to teaching creatively and effectively at both the undergraduate and graduate levels has been recognized with the 2009 Provost Award for Teaching Excellence in Early Career Faculty and the 2008 Kaman Award for Teaching Excellence.
He is Senior Specialty Editor and active reviewer of the Journal of Construction Engineering and Management, Past Chair of the Executive Committee of the Construction Research Council, and has been serving on technical committees of several conferences. Since 2005 he shares his passion for construction with high school students in the national ACE (Architecture, Construction, and Engineering) Mentor Program.
Su, Y., Lucko, G. (2014). “Synthetic Cash Flow Model with Singularity Functions I: Theory for Periodic Phenomena and Time Value of Money.” Journal of Construction Engineering and Management. In print.
Su, Y., Lucko, G. (2014). “Synthetic Cash Flow Model with Singularity Functions II: Analysis of Feasible Prompt Payment Discount Scenarios.” Journal of Construction Engineering and Management. In print.
Lucko, G., Said, H. M. M., Bouferguene, A. (2014). “Construction Spatial Modeling and Scheduling with Three-Dimensional Singularity Functions.” Automation in Construction 43(July): 132-143.
Lucko, G. (March 1, 2014). “Temporal Constraints in Linear Scheduling with Singularity Functions: The Case of Calendarization.” Journal of Computing in Civil Engineering 28(2): 232-243.
Lucko, G., Alves, T. da C. L., Angelim, V. L. (2013). “Challenges and Opportunities for Productivity Studies in Linear, Repetitive, and Location-Based Scheduling.” Special Issue on Productivity Improvement in the Construction Processes invited paper (peer-reviewed), Construction Management and Economics 32(6): 575-594.
Lucko, G. (2013). “Supporting Financial Decision-Making Based on Time Value of Money with Singularity Functions in Cash Flow Models.” Construction Management and Economics 31(3): 238-253.