Research Projects

Deep Learning

1. “Modeling Market Sentiments using Deep Learning for Accurate Modeling of Dependence in Financial Time Series"

Artificial Intelligence

1. “Neuro-Fuzzy (m-ANFIS) Based Technique for Load Forecasting in Large Geographical Area:Ontario, Canada".

2. “Neuro-Fuzzy Inference System (ASuPFuNIS) Model for Intervention Time Series Prediction of Electricity Prices”

3. “Dynamic Fuzzy Controller Based Multilayered Architecture for Extended Battery Life in Mobile Handheld Devices".

4. “Dynamic Fuzzy Load Balancing on LAM/MPI Clusters with Applications in Parallel Master-Slave Implementations of an Evolutionary Neuro-Fuzzy Learning System".

5. “Design of Quantum Inspired Evolutionary Algorithms for Quadratic Knapsack Problems and Bin Packing Problems".

6. “Systolic Array Realization of PCNN using Eigen faces".

7. “Design of Quantum Inspired Evolutionary Algorithms for Difficult Knapsack Problems".

Design Optimization under Uncertainty

1. “A Framework For Microgrid Planning Using Multidisciplinary Design Optimization"

2. “Multidisciplinary Design Optimziation under Uncertainty for Planning of Engineering Systems”

3. “Spatial Dependence Modeling of Wind Resource under Uncertainty using C-Vine Copulas"

4. Optimal Sizing of Microgrids under Uncertainty for NetZero Community in London Ontario

5. “Electricity Pricing and Analysis: Deterministic and Stochastic Approaches

6. “Extreme Value Analysis using Stochastic Differential Equations".

7. “Parameter Estimation in Groundwater Models using Surrogate Optimization".

8. “Stochastic Two-Stage Programming for Network Design under Uncertainty as Min-Cost Multicommodity Network Flow”

Last updated 11/27/2015