Advanced Flood Forecasting and Risk Management

• Utgivningsdatum: 2027-04-19
• Mått: 191 x 235 x undefined mm
• Format: Häftad
• Språk: Engelska
• Förlag: Elsevier - Health Sciences Division
• ISBN: 9780443494055

• Hydrologi
• Meteorologi och klimatologi

Mahesh Patel, PhD is a dedicated researcher and academician serving as an Associate Professor in the Department of Civil Engineering at NIT Jalandhar. He earned his M.Tech (2012) and Ph.D. (2017) from IIT Guwahati in Water Resources Engineering and Management, and has held a pivotal role as a Research Scientist at the University of Virginia, USA, before joining NIT Jalandhar in January 2018. Over the past seven years, he has made significant contributions to hydrological modeling, machine learning (ML), and artificial intelligence (AI), with impactful publications in renowned journals and presentations at prestigious international conferences. His research expertise includes integrating ML algorithms for predicting flow resistance and sediment load, employing AI to optimize hydrological processes, and applying ML techniques for analyzing hydro-meteorological data to enhance modeling accuracy. Dr. Patel currently leads major sponsored projects, including a CRG-SERB project worth ₹65.75 Lakhs on hydrological flow and bed morphology in steep mountain streams using experimental, field, ML, and AI approaches, and a SPARC, Ministry of Education, Government of India project worth ₹79.32 Lakhs titled “AI-Enhanced Cloud-Based Lightweight Framework for Flash Flood Risk Assessment and Hazard Mapping in Steep Mountain Channels.” In addition, he has successfully executed industry-sponsored consultancy projects worth around ₹1 crore in water resources management.Agustín Millares, PhD is an Associate Professor at the Andalusian Institute for Earth System Research (IISTA), University of Granada, Spain, specializing in hydrology, erosion processes, fluvial modelling, and sediment connectivity. He holds a PhD in Biogeochemical Flux Dynamics and Applications from the University of Granada (2008), and has over 20 years of research and teaching experience covering hydrological and sediment transport modelling, erosion control, and water resources management. He has developed and registered key modelling tools such as HidroDEM, WiMMed, and HEMINGS, led and participated in 22 competitive research projects at regional, national, and international levels, and contributed more than 20 articles to peer-reviewed journals as well as book chapters. He is an active reviewer for 22 scientific journals indexed in JCR (Q1-Q2) and external evaluator for international research organizations, coordinating thematic sessions in major conferences, including the European Geoscience Union and IAHR World Congress. His research integrates advanced modelling techniques with fieldwork, delivering significant impact on watershed management and soil erosion studies in Mediterranean and semi-arid headwaters and mountain environments. Mohit Kumar, PhD is Assistant Professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his Ph.D. degree from Indian Institute of Technology Roorkee in the field of Artificial Intelligence and Cloud Computing, 2018, and M. Tech degree in Computer Science and Engineering from ABV-Indian Institute of Information Technology Gwalior, India in 2013. He has received his B. Tech degree in Computer Science and Engineering from MJP Rohilkhand University Bareilly, 2009. His research topics cover the areas of Cloud computing, Fog/ Edge Computing, Internet of Things, federated learning, Blockchain, and Artificial Intelligence. Dr Mohit received best faculty award in NIT Jalandhar for academic session 2022-2023. He has published more than 100 research articles in reputed journals, IEEE Transactions and international conferences. He has been Session chair and keynotes Speaker of many International conferences, webinars, FDP, STC in India. He has guided six M. Tech Thesis and guiding 6 Ph.D. Scholars. He has been listed in the prestigious Top 2% of Scientists in the world (2023, 2024) announced by Elsevier and Stanford University, United States. He is editorial board member of several reputed journals such as scientific report (SCIE), discover computing (SCIE) and Discover Artificial Intelligence (Scopus indexed). He is an active reviewer of several reputed journals and international conferences. He is a member of the IEEE.Gautam Srivastava, PhD (Senior Member, IEEE) received the B.Sc. degree from Briar Cliff University, USA, in 2004, and M.Sc. and Ph.D. degrees from the University of Victoria, Victoria, BC, Canada, in 2006 and 2012, respectively. Then, he taught for three years with the Department of Computer Science, University of Victoria, where he was regarded as one of the top undergraduate professors in computer science course instruction. After that, he joined a tenure-track position at Brandon University, Brandon, MB, Canada, where he is currently active in various professional and scholarly activities. He was promoted to the rank of Professor in 2023. Dr. Srivastava is active in research in the field of computer security and privacy. In his ten-year academic career, he has published a total of over 500 papers in high-impact conferences in many countries and high-status journals (SCI and SCIE). He has delivered invited guest lectures on big data, cloud computing, the Internet of Things, and cryptography at many international universities. He is an editor of several international scientific research journals. He currently has active research projects with other academician nationally and internationally.Ashutosh Sharma, PhD is an Assistant Professor in the Department of Hydrology at IIT Roorkee and Joint Faculty at the International Centre of Excellence for Dams. He holds a Ph.D. (2019) and M.Tech, (2016) in Water Resource Engineering and Management from IIT Guwahati, and a B.Tech (2014) in Civil Engineering from NIT Hamirpur. He has held positions as a Postdoctoral Scholar at Pennsylvania State University and as a Visiting Researcher at the University of Nebraska Lincoln and McGill University. His research interests include data-driven and process-based hydrological modeling, flood risk mapping, and climate change impact assessment. Dr. Sharma is involved in many research projects, with notable contributions to "Leveraging NCMRWF Weather Forecasts for Enhanced Streamflow Forecasting with Deep Learning" funded by Monsoon Mission, MoES, India, "Improving healthcare during flooding in India" funded by NIHR, UK, and "Regional cooperation for Freshwater Ecosystem Services in Himalayas (REFRESH)" funded by APN, Japan. His awards include the IEI Young Engineer Award 2025, Editor's Choice Award for a highly cited paper in Water Resources Research and several fellowships, such as WARI Fellowship and the Shastri Research Student Fellowship. Dr. Sharma has published over 40 papers in prestigious journals, including Water Resources Research, Science of the Total Environment, and Journal of Hydrology. His publications span topics from flood modeling and ecosystem water use efficiency to machine learning applications in hydrology. He serves as an Associate Editor for the several journals, including Journal of Hydrology, Acta Geophysica, Scientific Reports and Data in Brief. Additionally, he has developed CAMELS-IND dataset on meteorological forcings and watershed attributes in Peninsular India. In addition to his research, Dr. Sharma is actively involved in teaching and supervision. He is presently leading a team of 10 PhD students and 5 Master’s students at IIT Roorkee. He has supervised 2 PhDs, 15 Master's theses and 15 UG interns. He has also organized short-term training programs on topics like Artificial Intelligence in Hydrology, Ecohydrology, and Space Technology Applications.The scientific focus of Prof. Carlo Gualtieri (University of Napoli Federico II, Italy) is Environmental Hydraulics. He studied the exchange processes across the environmental interfaces (air-entrainment, hyporheic fluxes, turbulent diffusion) through laboratory experiments and numerical simulations. In the last decade his main research area was the study, in cooperation with many foreign scholars, of hydrodynamics, morphodynamics and sediment transport in large-size rivers and confluences, such as Amazon, Congo, Orinoco, Yangtze, and Yarlung Zangbo-Brahamaputra, using a combination of field investigation and remote sensing imagery. He is author or co-author of more than 300 peer-reviewed manuscripts published in international scientific journals or in the proceedings of international conferences. He serves as Associate Editor for Water Resources Research and Environmental Modelling & Software.

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