Contributions

Dr. T.’s research has contributed several seminal, original and innovative approaches, methods and methodologies to the fields of water and environment systems modeling and management, hydrometeorology and climate variability and change. Some of the works are jointly published with other researchers (graduate students, postdocs, visiting scholars).

Major contributions

  • Approaches for Adaptive and Real-time Operation of Hydrosystems
  • Fuzzy Set-based Loss Functions for Hydrosystem Optimization
  • Optimization Approach for Hydraulically and Hydrologically Coupled Hydropower Systems
  • Seminal Simulated Annealing-based Approach for Hydrosystems
  • New Imputation Methods for Precipitation Estimation
    • CCWM Method
    • Modified IDW Method
    • Nearest Neighbor Method
  • Universal Function Approximation-based Kriging Approach
  • Fuzzy Set-based Performance Measure for Hydrologic Model Evaluation
  • Frequency-based Performance Measure for Hydrologic Model Evaluation
  • Positive Kriging using Optimization for Estimation of missing precipitation data
  • New Imputation Methods for Precipitation
    • Novel Spatial Interpolation Methods for Objective Selection of Control Points in Spatial Interpolation
    • Optimal Proximity Metric-based Imputation Method
    • Nearest Neighbor Classification and Cluster-based Method
    • Nonlinear Mathematical Programming Methods
    • Association Rule-based Methods
    • Methods using Optimal Functional Forms
  • Geo-Spatial Grid-based Weighting Method for Transformation of Precipitation Data
  • Fuzzy Set-based Methods for Handling Climate Change Uncertainties in Water Management Models
  • Fuzzy Multi-Objective Methods for Hydropower System Management
  • Partial Constraint Satisfaction Approaches for Hydropower Systems (with Andre Ferriera)
  • Optimal and Adaptive Operation of Hydrosystems with Multiple Objectives
  • Bootstrap Sampling-based Methods for Evaluation of Climate Variability Considering Limited Data
  • Latin Hypercube Bootstrap Sampling approach
  • Radar-based Precipitation Data Evaluation Framework
  • Optimal Predictor Selection Method for Statistical Downscaling Models for Climate Change Modeling
  • Geometric Pattern-based Forecasting Models using ANNs
  • Method for Incorporating Shallow Groundwater Influences in Runoff Models
  • Optimization Method for Flood Control, Drainage and Improvements
  • Optimization and Variants of Quantile Mapping-based Methods for Bias Corrections
  • Probability-based Spatial Interpolation for Precipitation Estimation
  • Non-overlapping Block Stratified Random Sampling Approach for Assessment of Stationarity
    • Distribution Similarity Assessment Method
  • Statistical Correction Method for Spatially Interpolated Precipitation Estimates
  • New Performance measures for Hydrologic Model Evaluation
  • Conceptually Improved Shepard’s Method for Spatial Interpolation Method
  • New Performance Indices for Coastal Hydraulic Structure Evaluation