Ph.D. 1986 Civil Engineering, University of Maryland, College Park, MD, Dissertation: Probable Maximum Flood in Hydrologic Design.
M.S. 1982 Civil Engineering, University of Maryland, College Park, MD, Thesis: A Comparison of Methods for Estimating Time Parameters of Hydrologic Models.
B.S. 1979 Civil Engineering, Howard University, Washington, DC, graduated magna cum laude.
Distributed Hydrological Modeling
Remote Sensing Applications in Hydrology
Risk Analysis and Flood Damage Control
Probability and Statistics
Water Resources Engineering and Hydrology
Probability and Statistics
Hydraulic Project Research
Professor Shalaby received her Ph.D. in Civil Engineering from the University of Maryland, College Park. Since joining the faculty in 1986, she teaches courses in Fluid Mechanics, Water Resources Engineering and Hydrology, Probability and Statistics, Advanced Hydrology, and Hydraulic Project Research. Dr. Shalaby served as the Associate Expert on Remote Sensing and Hydrological Models for Forecasting for the World Meteorological Organization Commission for Hydrology, United Nations, in Geneva, Switzerland. She served as a hydrology consultant to the World Bank, in Washington D.C., and as a disaster specialist for Dewberry in Fairfax, VA. She is writing a textbook on Fluid Mechanics, to be published by CRC Press in 2016.
Shalaby, A. I., (textbook near completion, 2016). Engineering Fluid Mechanics: An Introduction, CRC Press-Taylor and Francis Group, LLC.
Shalaby, A. I., (1989). “Probable Maximum Flood Determination," Chapter 13, pp. 598-665, Hydrologic Analysis and Design, (Author: R.H. McCuen), Prentice-Hall, Inc., Englewood Cliffs, NJ.
Shalaby, A. I. and Engman, E. T., (January, 2010). Contributing authors to the publication of the Sixth Edition of the World Meteorological Organization Guide to Hydrological Practices, Data Acquisition and Processing, Analysis, Forecasting and Other Applications, WMO No.168, United Nations, Geneva Switzerland.
Shalaby, A. I., Pangburn, T., Davis, R. E., and Daly, S. F. (2010). “Assessing the Accuracy of Distributed Snow Process Model SWE Using AVHRR Satellite/Ground Sensors Derived SWE for Operational Snowmelt Runoff Forecasting,” (to be submitted for publication as a CRREL Technical Report and a refereed journal publication).
Rango, A. and Shalaby, A. I., (1999). “Current Operational Applications of Remote Sensing in Hydrology,” Operational Hydrology Report Series No.43, World Meteorological Organization (WMO), United Nations, Geneva Switzerland, 73 pp.
Rango, A. and Shalaby, A. I. (1998). “Operational Applications of Remote Sensing in Hydrology: Success, Prospects and Problems,” Hydrological Sciences Journal, Vol. 43, No. 6, pp. 947-968.
The AMBASSADORS OF ENGINEERING PROGRAM led hands-on earthquake and coastal engineering challenges at the Discover Engineering Family Day at the National Building Museum in February 27, 2016.Read More >>
HU ADVANCE-IT presented its Woman in STEM Researcher of the Year Award to Dr. Kimberly L. Jones on Friday, April 17, 2015. The award, first given in 2014, recognizes the distinguished scholarship and leadership of women faculty in STEM at Howard UniversityRead More >>