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MONOMOY GOSWAMI

Professor of Civil Engineering · Central Institute of Technology Kokrajhar, Assam, INDIA

https://researchid.co/monomoy
@cit.ac.in
8Scopus Publications
703Google Scholar Citations
10Google Scholar h-index
12Google Scholar i10-index

Research Interests

Engineering hydrology; Water resources development, engineering & management; Hydropower project planning, design & engineering; Conceptual and data-driven modelling; Techno-economic evaluation of projects. Techno-economic assessment of projects.

Biography

Dr. Monomoy Goswami is a Professor of Civil Engineering in Central Institute of Technology Kokrajhar, a deemed to be University under Govt. of India. His specializations include Engineering hydrology; Water resources engineering, development & management with extensive coverage of all aspects of hydropower projects; sustainability & impact studies; mathematical modelling; and Techno-economic assessment of projects. Dr. Goswami did his PhD and Masters from the National University of Ireland Galway in Ireland having obtained a Bachelor degree in Civil Engineering from Regional Engineering College, now, NIT, Silchar in India. His career spans more than 35 years as on November 2022 with spells of 25 years in industry, and the rest in academia. Dr. Goswami has research publications in highly acclaimed international journals, and in proceedings of international conferences, besides chapters in edited books.

Education

PhD in Engineering Hydrology (National University of Ireland, Galway, IRELAND) M.Sc in Hydrology (National University of Ireland, IRELAND) Bachelor of Civil Engineering (Regional Engineering College, now, National Institute of Technology, Silchar, INDIA)

Recent Scopus Publications

  1. A "monster" that made the SMAR conceptual model "right for the wrong reasons"
    Hydrological Sciences Journal, 2010
  2. Rainfall-runoff modelling across southeast Australia: Datasets, models and results
    Australian Journal of Water Resources, 2010
  3. Comparative assessment of six automatic optimization techniques for calibration of a conceptual rainfall-runoff model
    Hydrological Sciences Journal, 2007
  4. Application of artificial neural networks for river flow simulation in three French catchments
    IAHS AISH Publication, 2007
  5. Real-time flow forecasting in the absence of quantitative precipitation forecasts: A multi-model approach
    Journal of Hydrology, 2007

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