Jack Parker is a Research Professor of Civil and Environmental Engineering. He is a highly cited researcher with over 200 technical publications and has served on numerous expert panels, advisory and review boards, and delegations for government agencies, professional groups, private industry and others. He has taught academic and professional courses and has presented workshops and invited seminars in 15 countries. He has directed many research and consulting projects involving contaminant transport and remediation refineries, terminals, manufacturing plants and other facilities.
Parker’s research currently focuses on inverse modeling, analysis of prediction uncertainty, and stochastic cost optimization of engineering decisions. In addition to environmental remediation problems, Parker is interested in the application of advanced computational methods to develop efficient, cost effective and environmentally acceptable recovery of unconventional fossil energy sources, such as oil shale, and for in situ extraction of mineral resources by solution mining.
Cardiff, M, X Liu, P Kitanidis, J Parker, and U Kim, Cost optimization of DNAPL source and plume remediation under uncertainty using a semi-analytic model, J. Contam. Hydrol., 13, 24-43, 2010.
Zhang, F, J Parker, S Brooks, D Watson, P Jardine and B Gu, Prediction of uranium and technetium sorption during titration of contaminated acidic groundwater, Journal of Hazardous Materials, 178, 42-48, 2010.
Tang, G, M Mayes, J Parker, and P Jardine, CXTFIT/Excel – A modular adaptable approach for parameter estimation and uncertainty/sensitivity analysis, Computers and Geosciences, 36, 1200-1209, 2010.
Zhang, F and J Parker. An efficient modeling approach to simulate heat and mass transfer between fracture and matrix regions for oil shale retorting, Transport in Porous Media, 84, 229-240, 2010.
Tang, G, E D’Azevedo, F Zhang, J Parker, D Watson, and P Jardine, A hybrid MPI/OpenMP approach for parallel groundwater model calibration on multicore computers, Computers and Geosciences, 36, 1451-1460, 2010.
Parker, J, U Kim, P Kitanidis, M Cardiff, and X Liu, Stochastic cost optimization of multi-strategy DNAPL site remediation, Ground Water Monitoring and Remediation, 3, 65-78, 2010.
Zhang, F, W Wu, J Parker, T Mehlhorn, S Kelly, K Kemner, G Zhang, C Schadt, S Brooks, C Criddle, D Watson, P Jardine, Kinetic analysis and modeling of oleate and ethanol stimulated uranium (VI) bio-reduction in contaminated sediments under sulfate reduction conditions, J. Hazardous Materials, 183, 482-489, 2010.
Parker, J, U Kim, M Widdowson, P Kitanidis, and R Gentry, Effects of model formulation and calibration data on uncertainty in DNAPL source dissolution predictions, Water Resour. Res., 46, 2010.