Timothy Ganesan

Timothy Ganesan is currently a Senior Analyst at the Royal Bank of Canada specializing in computational intelligence and data analytics. He has experience working as a Principal Researcher for the Fuels and Combustion Section in the research and development arm of the Malaysian power producer - Tenaga Nasional Berhad (TNB). In addition to having degrees in Chemical Engineering and Computational Fluid Dynamics, he holds a Ph.D. in Process Optimization. His research interests include engineering/industrial optimization, multi-objective/multi-level programming, evolutionary algorithms, machine learning, chaos optimization, and swarm-based optimization.

Publications

Bilevel Optimization of Taxing Strategies for Carbon Emissions Using Fuzzy Random Matrix Generators
Bilevel Optimization of Taxing Strategies for Carbon Emissions Using Fuzzy Random Matrix Generators
Timothy Ganesan, Irraivan Elamvazuthi. © 2022. 25 pages.
Bilevel (BL) optimization of taxing strategies in consideration of carbon emissions was carried out in this work. The BL optimization problem was considered with two primary...
Extreme Value Metaheuristics and Coupled Mapped Lattice Approaches for Gas Turbine-Absorption Chiller Optimization
Extreme Value Metaheuristics and Coupled Mapped Lattice Approaches for Gas Turbine-Absorption Chiller Optimization
Timothy Ganesan, Pandian Vasant, Igor Litvinchev, Mohd Shiraz Aris. © 2021. 30 pages.
The increasing complexity of engineering systems has spurred the development of highly efficient optimization techniques. This chapter focuses on two novel optimization...
Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities
Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities
Timothy Ganesan. © 2020. 233 pages.
The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek...
Lévy-Enhanced Swarm Intelligence for Optimizing a Multiobjective Biofuel Supply Chain
Lévy-Enhanced Swarm Intelligence for Optimizing a Multiobjective Biofuel Supply Chain
T. Ganesan, Pandian Vasant. © 2020. 23 pages.
Engineering systems are currently plagued by various complexities and uncertainties. Metaheuristics have emerged as an essential tool for effective engineering design and...
Multiobjective Optimization of a Biofuel Supply Chain Using Random Matrix Generators
Multiobjective Optimization of a Biofuel Supply Chain Using Random Matrix Generators
Timothy Ganesan, Pandian Vasant, Igor Litvinchev. © 2020. 27 pages.
As industrial systems become more complex, various complexities and uncertainties come into play. Metaheuristic-type optimization techniques have become crucial for effective...