David Silverman, PE, PhD


	David Silverman, PE, PhD


	Current Research Interests Long term water supply forecasts for California using large-scale climatological parameters and artificial intelligence techniques Effects of climate change on California's water supply and water quality The use of artificial techniques and expert systems in the design of infrastructure


	David Silverman, P.E., Ph.D Born: North Hollywood, CA 23801 Calabasas Rd. Suite 2039 Calabasas, CA 91302 Phone: (818) 222-3700 E-mail: silverman@ce.berkeley.edu EDUCATION Ph.D Civil Engineering University of California, Los Angeles, June 1999 Major area: Water Resources Engineering Minor area: Atmospheric Sciences Research: Neural Network Analysis of Long Range Precipitation Forecasts Advisor: John A. Dracup M.Eng Civil Engineering University of California, Berkeley, May 1989 Major Area: Construction Engineering & Management Minor Areas: Hydrology & Hydraulic Engineering Urban & Regional Planning Research: The integration of GIS and expert systems to aid urban planning B.S. Civil Engineering Carnegie -Mellon University, May 1987 Received departmental senior research project award University of Southern California (1989-1994) - graduate courses in civil engineering, emphasis in coastal engineering. Involved in semester long project to study the sediment transport in the L.A. River. Developed a methodology for design using fuzzy logic under fuzzy constraints. Registered Civil Engineer (California) - C58650 Member - American Geophysical Union, American Society of Civil Engineers, International Who's Who of Professionals Programming: C/C++, ForTran, LisP, MatLab, Mathematica, ProLog WORK EXPERIENCE Present Visiting Postdoctoral Scholar, UC Berkeley. Developing GCM to local downscaling models of precipitation and temperature for climate change analysis; adapting the "Delta Simulation Model" for the climate change analysis. Funded by an EPA STAR grant. 1999-2000 Post-doctoral scholar, Institute of the Environment, UCLA. Developed a sediment transport component for the Institute's TOPMODEL model of the Malibu Creek drainage basin. 1990-2000 Director of Engineering, & Interim Director of Survey and Mapping, JSA, Inc., Calabasas, CA 1993-2000 Martial Arts Instructor, University of Southern California 1989 Associate Engineer, Ralph M. Parsons Company. On-site engineer for the Large Scale Cavitation project. 1984-1989 Design Engineer, JSA, Inc. (summers) 1978-1984 Land Surveyor, JSA, Inc. (summers) JSA is a civil engineering firm specializing in commercial, industrial, and residential planning and land development. My duties have included: preparing master plans of sewer and water for planned communities; sewer, water, storm drain system design and analysis; highway and street layout; mass grading design for projects up to 8 million cubic yards; project budgeting and management; RFP development; interaction with city, county, state, and federal agencies. TEACHING EXPERIENCE 1998 Teaching Assistant, UCLA for "Introduction to Computing for Civil Engineers" 1997 Teaching Assistant, UCLA for "Water Resources Engineering" 1988 Graduate Student Instructor, U.C.Berkeley for "Introduction to Surveying for Non-Engineers"


	PRESENTATIONS AND PUBLICATIONS "The Integration of DSM2-SJR into Climate Change Modeling for the San Joaquin Basin," David Silverman, Bay Delta Modeling Forum, 2001 "The Use of Climatic Data for Long Range Streamflow Forecasting," John A. Dracup and David Silverman, Hydro2000, Perth, Australia, 2000 "Neural network analysis of long range precipitation forecasts," David Silverman and John A. Dracup, Sixteenth Annual Pacific Climate Workshop, Catalina, CA 1999 "Artificial Neural Networks and long range precipitation prediction in California," David Silverman and John A. Dracup, American Geophysical Union 1998 Winter Conference, San Francisco, CA "Teleconnections as estimators of California's precipitation by Artificial Neural Networks," David Silverman and John A. Dracup, Fifteenth Annual Pacific Climate Workshop, Catalina, CA 1998 "The El Nino/Southern Oscillation and Neural Networks for long range precipitation predictions," David Silverman and John A. Dracup, Fourteenth Annual Pacific Climate Workshop, Catalina, CA 1997 "Artificial Neural Network Forecasts of California's Precipitation", David Silverman and John A. Dracup, Experimental Long-Lead Forecast Bulletin, March 2000 "Data mining in the trained backpropagation network," David Silverman and John A. Dracup, edited book on Artificial Neural Networks in Hydrology, Water Science and Technology book series (Prof. V.P. Singh), published by Kluwer, 2000 "Artificial neural networks and long range precipitation prediction in California," David Silverman and John A. Dracup, Journal of Applied Meteorology, Jan 2000