Prof. Momčilo Markuš


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Momčilo Markuš

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Academic titleGuest Professor
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TitleIn institution
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Bachelor's thesis

Civil Engineering

Faculty of Civil Engineering

1981

Primena ARMAX modela i Kalmanogvog filtra u hidrološkim prognozama

Magister thesis

Civil Engineering

Faculty of Civil Engineering

1987

Application of Neural Networks in Streamflow Forecasting

PhD thesis

Civil Engineering

Civil Engineering department, Colorado State University

1995

Criterium of productionDescription
() Monographic study/chapter in M11 or research in the thematic collection of the leading international importanceSalas, J.D., Markus, M., and Tokar, A.S., 2000, Streamflow Forecasting Based on Artificial Neural Networks; chapter in Artificial Neural Networks in Hydrology, edited by R.S. Govindaraju and A. Ramachandra Rao, Kluwer Academic Publishers, Dordrecht, 348 pp. (book chapter)
() Monographic study/chapter in M11 or research in the thematic collection of the leading international importanceKumar, P., Alameda, J, Bajcsy, P., Folk, M., and Markus, M. “Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling,” 2006 CRC Press, Boca Raton, Florida, 552 pp. (book)
() Research published in the top international journalGovindaraju, R.S., Rao, A.R., Leib, D., Najjar, Y.M., Gupta, H.V., Hjemfelt, A., Markus, M., Tokar, A.S., Islam, S., Salas, and J.D., Ray, C., The ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, 2000, Artificial Neural Networks in Hydrology. I: Preliminary Concepts, Journal of Hydrologic Engineering, 5(2):115-123.
() Research published in the top international journalGovindaraju, R.S., Rao, A.R., Leib, D., Najjar, Y.M., Gupta, H.V., Hjemfelt, A., Markus, M., Tokar, A.S., Islam, S., Salas, and J.D., Ray, C., The ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, 2000, Artificial Neural Networks in Hydrology. II: Hydrologic Applications, Journal of Hydrologic Engineering, 5(2):124-137.
() Research published in the top international journalTokar, A.S., and Markus, M., 2000, Precipitation-Runoff Modeling Using Artificial Neural Networks and Conceptual Models, Journal of Hydrologic Engineering, 5(2):156-161.
() Research published in the top international journalGuo, Y., Markus, M., and Demissie, M., 2002, Nitrate-N Load Computation with Different Methods, Sampling Frequencies and Durations for Illinois Agricultural Watersheds, Water Resources Research, 38(10), 1185, doi:10.1029/2001WR001149.
() Research published in the top international journalMarkus, M., Tsai, C., W.-S., and Demissie, M., 2003, Uncertainty of 6 Weekly Nitrate-N Forecasts using Artificial Neural Networks, March 2003, Journal of Environmental Engineering. 129 (3):267-274.
() Research published in the top international journalMarkus, M, Knapp H. V., and Tasker, G. D. 2003, Entropy and Generalized Least Square Methods in Assessment of the Regional Value of Streamgages, J. Hydrology, 283(1-4):107-121
() Research published in the top international journalMarkus, M., Demissie, M., 2006, Predictability of Annual Sediment Loads Based on Flood Events, Journal of Hydrologic Engineering, 11(4):354-361.
() Research published in the top international journalAmenu, G.G. M. Markus, P. Kumar, M. Demissie, 2007, Hydrologic Applications of Minimal Resource Allocation Network (MRAN) Algorithm, Journal of Hydrologic Engineering. 12(1):124-129.
() Research published in the top international journalCrowder, D.W., Demissie, M., and Markus, M., 2007, The accuracy of sediment loads when log- transformation produces nonlinear sediment load– discharge relationships, J. Hydrology, 336(3-4):250-268
() Research published in the top international journalLin, L-S., Markus, M., and A. Russell, A., 2007, A Stream Classification System Based on Susceptibility to Algal Growth in Response to Nutrients, Journal of Environmental Engineering, 133(7):692-697.
() Research published in the top international journalGuo, Y., and Markus, M., 2011, Analytical Probabilistic Approach for Estimating Design Flood Peaks of Small Watersheds, Journal of Hydrologic Engineering, 16(11), 847-857 (2011)
() Research published in the top international journalVerma, S., Markus, M., Cooke, R.A., 2012, Development of error correction techniques for nitrate-N load estimation methods, Journal of Hydrology 432-433 , pp. 12-25.
() Report from the international meeting printed in its entiretyMarkus, M., Radojevic, D., Some Aspects of Kalman Filtering Application in Hydrologic Time Series Processing, Comp. Methods in W. Resources Vol.2: Numerical Methods for Transport and Hydrologic Processes. Elsevier, New York. 1988. p 351-356
() Report from the international meeting printed in its entiretyMarkus, M. and M. Tomanic, 1990, Reservoir Sizing - Methodology Description and Application, Proceedings of International Conference on the System Analysis Application in Water Resources, Winnipeg, Manitoba
() Report from the international meeting printed in its entiretyWelles, E. and M. Markus, 1996, A Verification System for Probabilistic Hydrograph Forecasts, the American Society of Civil Engineers International Conference and Exposition on Natural Disaster Reduction, Washington D.C.
() Report from the international meeting printed in its entiretyMarkus, M., E. Welles, and G. N. Day, 1997, A new method for Ensemble Streamflow Prediction Verification, American Meteorological Society Annual Meeting, Long Beach, California, February, 1997.
() Report from the international meeting printed in its entiretyTokar, A. S., and Markus, M., 1997, "Artificial Neural Networks And Conceptual Models In Water Management Of Small Basins In The Central United States." Proc., 3rd Int. Conf. on FRIEND, International Association of Hydrol. Sciences, Wallingford, U.K.
() Report from the international meeting printed in its entiretyMarkus, M. and J.D. Salas, 1998, Comparing Methods for Forecasting Total Summer Flows on Tributaries of the Colorado - Big Thompson System, proceedings of the First Federal Interagency Hydrologic Modeling Conference, Las Vegas, NV, 1998.
() Chapter in the M41 or research in the thematic collection of the national importanceMarkus, M., 2001, Evaluating the regional value of streamgage data using an entropy-based approach, Vodoprivreda, Belgrade, Serbia, 33, pp. 41-47.
TitleScientific areaHigher education institutionElection date
Guest ProfessorHydrotechnicsFaculty of Technical Sciences25.10.2012.