Prof. V Jothiprakash

Areas Of Expertise

• Optimization
• Hydrology
• Water resources engineering
• Water resources engineering
• Hydrology
• Water resources engineering
• Runoff modelling
• Reservoir operation
• Rain water harvesting
• Rainfall-Runoff models using soft computing tools
• Like ANN
• MT and GP
• Storm water drainage systems
• Sewer network system
• Artificial neural network
• Run-off river
• Soft computing techniques
• Design vetting for hydraulic
• Hydrologic and structural design of storm water drain for sikkim airport
• Integrated water supply system
• Nonlinear dynamic techniques
• Geo-spatial data
• Genetic algorithm
• Modified mutation
• Multi-purpose reservoir operation
• Operating rule curves
• Uniform cross over
• Backpropagation
• HEC-4 model
• Hurst ratio
• Synthetic streamflows
• Brune (1953) method
• Capacity inflow ratio (C/I)
• Gill (1979) method
• Reservoir sedimentation
• Trap efficiency (T_e)
• Useful life of reservoir
• Civil engineering
• Hydrology
• Reservoir inflow prediction
• Time lagged recurrent network
• Brown
• S method
• Brune
• Trap efficiency
• Adaptive neuro-fuzzy inference system
• Artificial intelligence
• Hydrologic models
• Intermittent runoff river
• Rainfall-runoff relationship
• River
• Runoff
• Models
• India
• Yield
• Prediction
• Stochastic dynamic programming
• Simulation
• Synthetic stream flow generation
• Reservoir-system operation
• Multireservoir systems
• Optimization
• Management
• Multi-layer perceptron
• Reservoir inflow
• Seasonal
• Stochastic models
• Time series
• Transformation
• India
• Neural networks
• Reservoirs
• Sediment
• Water resources
• Planning model
• Run-off-the-river
• Simulation
• Tambiraparani river system
• Temporal distribution
• Water loss/gain
• Age of the reservoir
• Artificial Neural Networks
• Brown method
• Brune method
• Gill method