UK Kentucky Water Resources Research Institute

KWRRI

 

Personnel

KWRRI Personnel

Photo of Mohammad Tufail

Mohammad Tufail, P.E., Ph.D.
Post Doctoral Research Scholar

233 Mining & Mineral Resources Bldg.
University of Kentucky
Lexington, KY 40506-0107

EDUCATION
Ph.D. University of Kentucky, May 2006
M.S. University of Kentucky, August 1995
B.S.C.E. University of Kentucky, May 1993

PROFESSIONAL REGISTRATION
Professional Engineer, State of Kentucky

PROFESSIONAL EMPLOYMENT
2006 - Present: Post Doctoral Research Scholar, Kentucky Water Resources Research Institute

January 2003 - March 2006: Research Assistant and PhD Candidate, Kentucky Water Resources Research Institute

January 2001 - March 2006: Project Manager, Strand Associates Inc., Lexington, Kentucky, USA.

March 2000 - February 2001: Water Resources Engineer, Camp Dresser & McKee (CDM), Inc., Charlotte, North Carolina, USA.

July 1995 - February 2000: Project Engineer, Strand Associates Inc., Lexington, Kentucky, USA. 

August 1993 to May 1995: Graduate Research Assistant, Department of Civil Engineering, University of Kentucky, Lexington, Kentucky, USA.

RESEARCH INTEREST AND EXPERTISE

  • Mathematical Modeling of Hydraulic and Hydrologic Systems
  • Environmental Informatics
  • Surface Water Quality Modeling
  • Integrated Watershed Management and Modeling
  • Total Maximum Daily Load (TMDL) Modeling and Methodologies
  • Wastewater Facilities Master Planning
  • Separate and Combined Sewer System Modeling and Management
  • Stormwater Modeling, Management, and Master Planning
  • Risk Assessment of Hydraulic Structures
  • Optimization of Water and Environmental Systems
  • Evolutionary Computing
  • Genetic Algorithms
  • Artificial Neural Networks
  • Operations Research/Systems Analysis
  • Finite Difference and Finite Element Methods for Numerical Modeling
  • Artificial Intelligence Techniques for Complex Water and Environmental Problems
  • Inductive and Deductive Watershed Modeling

TEACHING
CE 461 Hydrology (Department of Civil Engineering, University of Kentucky)

PUBLICATIONS
Tufail, M., Ormsbee, L.E., and Teeagavarapu, R. (2006). Artificial Intelligence (AI)-based Inductive Models for Prediction and Classification of Fecal Coliform in Surface Waters. ASCE Journal of Environmental Engineering, (tentatively accepted).

Tufail, M. and Ormsbee, L.E. (2006). A Fixed Functional Set Genetic Algorithm (FFSGA) Approach for Functional Approximation. IWA Journal of Hydroinformatics, Vol. 8, No. 3, pp. 193-206 .

Teeagavarapu, R, Tufail, M., and Ormsbee, L.E. (2006). Optimal Function Forms for Spatial Interpolation of Precipitation Data. Proceedings of the 5th International Conference on Environmental Informatics (ISEIS2006), Bowling Green, Kentucky, August 1-3, 2006.

Tufail, M. and Ormsbee, L.E. (2006). Optimal Load Reductions for Beargrass Creek Watershed in Louisville, Kentucky. Proceedings of the ASCE World Water and Environmental Resources Congress Annual Conference, Omaha, Nebraska, May 21-25, 2006.

Tufail, M. (2006). Optimal Water Quality Management Strategies for Urban Watersheds using Macro-Level Simulation Models linked with Evolutionary Algorithms. PhD Dissertation, Department of Civil Engineering, University of Kentucky, Lexington, Kentucky, USA.

Ormsbee, L.E. and Tufail, M. (2005). Challenges in Soft Computing: A case study with Louisville, MSD-CSO Modeling. Presented at the Annual AGU Conference, San Francisco, California, December 5-9, 2005. (Invited).

Tufail, M. and Ormsbee, L.E. (2005). The utility of Inductive models using Artificial Intelligence (AI) Techniques for Water Quality Management in a TMDL Framework. Proceedings of the Water Environment Federation (WEF) TMDL 2005 Specialty Conference, Philadelphia, Pennsylvania, June 26-29, 2005.

Tufail, M. and Ormsbee, L.E. (2005). Development of Inductive Receiving Water Model for Application in TMDLs. Proceedings of the ASCE World Water and Environmental Resources Congress Annual Conference, Anchorage, Alaska, May 15-19, 2005.

Tufail, M. and Ormsbee, L.E. (2005). Optimal Load Allocations by Linkage of Evolutionary Optimization Algorithms with Inductive Models of Watershed Response. Proceedings of the ASCE World Water and Environmental Resources Congress Annual Conference, Anchorage, Alaska, May 15-19, 2005.

Froehlich, D.C. and Tufail, M. (2004). Evaluation & Use of Embankment Dam Breach Parameters & Their Uncertainties. Proceedings of the Association of State Dam Safety Officials (ASDSO) Annual Conference, Phoenix, Arizona, September 27-30, 2004.

Tufail, M., Ormsbee, L.E. and Teeagavarapu, R. (2004). A Comparison of two Artificial Intelligence (AI) Techniques to develop Functional Relationships for Water Quality Loadings. Proceedings of the ASCE World Water and Environmental Resources Congress Annual Conference, Salt Lake City, Utah, June 28-July 1, 2004.

Tufail, M. and Ormsbee, L.E. (2004). Methodology for pH TMDL (Total Maximum Daily Load): Application to Ryan Creek Watershed, Kentucky. Proceedings of the Kentucky Water Resources Research Institute Annual Symposium, Lexington, Kentucky, February 19, 2004.

Froehlich, D.C. and Tufail, M. (1995). Rainfall intensity equations for durations from one hour to 24 hours. Proceedings of the First International Conference on Water Resources Engineering, ASCE, San Antonio, Texas, August 14-18, 1995.

COMMUNICATIONS
Telephone: 859-312-5426
Fax: 859-323-1049
Email Mohammad Tufail