L. Shawn Matott, PhD

My overall research agenda is to investigate important water resources management problems using heuristic optimization (e.g. genetic algorithms, swarm optimization, simulated annealing, etc.). Specific applications include: containing subsurface contamination via pump-and-treat well-field systems; preventing the transport of hydrophobic organic contaminants via multilayer sorptive barrier technologies; and automatic calibration of hydrologic models. In addition to providing new insights into these types of management problems, the work has also helped establish guidelines for the effective selection and use of heuristic algorithms within the environmental modeling community.

My current research emphasizes: non-linear sorption in subsurface contaminant transport; approaches for improved calibration of environmental models; and optimial design of subsurface remediation systems.

Application of Heuristic Optimization to Groundwater Management (PhD Dissertation)
Curriculum Vitae (Last updated December 20, 2017)
Abbreviated CV (Last updated December 5, 2014)
My UB CCR Page
Publications (Last updated December 5, 2014)
Teaching (Last updated December 5, 2014)
Software (Last updated December 19, 2017)
Useful Links for Environmental Modeling
Benchmark Problems for Simulation-based Optimization
Additional Affiliations

University of Waterloo (adjunct professor)
American Geophysical Union (member)
URGE to Compute (mentor for 2012 cohort)
Great Lakes Brewing News Beer Beacon (columnist)
Western New York Book Arts Cener (donor)
National Public Radio (WBFO) (donor)
Buffalo and Erie County Public Library (cardholder)
Danger Room Podcast (subscriber)
Buffalo-Niagara Medical Campus Commuter Organization (member)
Explore and More Children's Museum (member)