North Carolina A&T Chair:
Dr. Shoou-Yuh Chang, P.E.
 Dr. Shoou-Yuh Chang, P.E. received his
Ph.D in Environmental Engineering from the University of Illinois. Dr.
Chang has more than 30 years of teaching and researching experience in
environmental engineering. Prior to accepting the position as Massie
Chair, Dr. Shoou-Yuh Chang was a professor and graduate program
coordinator in the Department of Civil Engineering at North Carolina A&T
State University. Dr. Chang's research interests include environmental
systems analysis, hazardous and radioactive waste management, water and
wastewater treatment and planning, and water quality modeling. He has
extensive research experience in the use of models to generate
alternatives for waste management and disposal systems and in the use of
filtering techniques to improve model accuracy. Dr. Chang maintains an
excellent working relationship with scientists at Oak Ridge National
Laboratory (ORNL), Sandia National Laboratories (SNL) and the U.S.
Environmental Protection Agency (EPA). He has completed several research
contracts awarded by ORNL to support the Low Level Radioactive Waste
Disposal Strategy Implementation for Oak Ridge Operations.
A Discussion with Dr. Chang on Program Goals
"The objective of the DOE Chairs of
Excellence Program is to develop high quality educational and research
in environmental engineering at North Carolina A&T State University
(A&T). This Program aims to increase the number of African Americans
trained in environmental areas while developing a faculty concentrated
in environmental education and research. Although A&T had a
well-developed environmental program prior to the Massie Chairs grant,
A&T's goal is to become a model of excellence in environmental
engineering through the program's support. The Program will provide a
catalyst to enhance collaboration of faculty and students among various
engineering departments to work together in a focus research area. The
collaboration will be expanded to other programs at A&T. Current
research emphasis is to
investigate the processes to improve the accuracy of contaminant
transport models.”
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