Handbook of HydroInformatics

Saeid Eslamian received his PhD in Civil and Environmental Engineering from University of New South Wales, Australia in 1998. Saeid was Visiting Professor in Princeton University and ETH Zurich in 2005 and 2008 respectively. He has contributed to more than 1K publications in journals, conferences, books. Eslamian has been appointed as 2-Percent Top Researcher by Stanford University for several years. Currently, he is full professor of Hydrology and Water Resources and Director of Excellence Center in Risk Management and Natural Hazards. Isfahan University of Technology, His scientific interests are Floods, Droughts, Water Reuse, Climate Change Adaptation, Sustainability and ResilienceFaezeh Eslamian is a PhD holder of bioresource engineering from McGill University. Her research focuses on the development of a novel lime-based product to mitigate phosphorus loss from agricultural fields. Faezeh completed her bachelor’s and master’s degrees in civil and environmental engineering from Isfahan University of Technology, Iran, where she evaluated natural and low-cost absorb bents for the removal of pollutants such as textile dyes and heavy metals. Furthermore, she has conducted research on the worldwide water quality standards and wastewater reuse guidelines. Faezeh is an experienced multidisciplinary researcher with research interests in soil and water quality, environmental remediation, water reuse, and drought management.

• 35. Bayesian Estimation36. Cloud and Cluster Computing37. Computational and Statistical Convergence Rates38. Concentration of Measure39. Cross Validation40. Data Assimilation41. Data Fusion Techniques42. Deep Learning43. Empirical Orthogonal Functions44. Empirical Orthogonal Teleconnection45. Error Modeling46. GARCH Time Series Analysis47. Gradient-Based Optimization48. Internet-Based Methods49. Internet of Things50. Kernel-Based Modeling51. Large Eddy Simulation52. Markov Chain Monte Carlo Methods53. Minimax Estimation54. Model Fusion Approach55. Monitoring Quality Sensors56. Nested Reinforcement Learning57. Nested Stochastic Dynamic Programming58. Nonparametric Density estimation59. Nonparametric Regressions60. Operational Real-Time Forecasting61. Patter Recognition62. Self-Adaptive Evolutionary Extreme Learning Machine63. Stochastic Learning Algorithms64. Supercomputing Methods (Parallelization/GPU)65. Transient-Based Time-Frequency Analysis66. Uncertainty-Based Resiliency Evaluation67. Volume-Based Inverse Mode68. WebGIS