Handbook of HydroInformatics

Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode.   This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in:  Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering.

Professor Saeid Eslamian holds a PhD from the Department of Civil Engineering, University of New South Wales, Australia in 1995. He is a Full Professor of Hydrology and Water Resources Sustainability at Isfahan University of Technology, Director of Excellence Center in Risk Analysis and Natural Hazards and Chief of Specialized Group on Water Resources Policy and Management, Research Center of Water and Wastewater. Formerly, he was a Vice Professor at Princeton University, United States, University of ETH Zurich, Switzerland, and McGill University, Montreal, Quebec, Canada. Recently, he was awarded the World Top 2% Scientist sign from Stanford University. Also, he was Award High-level Jury Member and Invited Dialogue Person for the related organizations of the United Nations.Prof. Eslamian is the Founder and Chief Editor of the International Journal of Hydrological Science and Technology (inderscience) and the Water Productivity Journal. He is also an editorial board member or reviewer of more than 150 Web of Science (ISI) Journals, and has contributed to more than 1K publications in journals, books, or as technical reports including Elsevier, Springer, Wiley, Taylor and Francis and IWA. Dr. Faezeh Eslamian holds a Ph.D. Degree in Bioresource Engineering from McGill University, Canada as well as a bachelor’s and master’s degree in Civil and Environmental Engineering. She has more than 10 years of experience in managing various multidisciplinary projects including soil and groundwater characterization and remediation, hydrogeology, water and wastewater treatment and numerical modeling. She has more than 40 publications including journal papers, book chapter as well as handbooks.