Ramesh Ramasamy Pandi is interested in algorithms and optimization with a focus on transportation systems. He earned his Master’s and Ph.D. degrees in Electrical and Electronic Engineering at the Nanyang Technological University (NTU), Singapore. During his studies, he partnered with the Singapore Technologies (ST) Land Systems to optimize the routes and schedules for battery-powered autonomous vehicles. His work enabled the rapid generation of efficient routes and paved the way to improve the request-response time without comprising the solution quality of the company’s static-deterministic dial-a-ride transit. After completing his PhD, he worked as a Research Scientist at a government research facility, where he designed a GPU-based mesoscopic traffic predictor for intelligent transportation systems on a city-scale network for the national needs of Singapore. Since his arrival in Montreal, he has been working towards the development of optimization algorithms for solving dynamic stochastic dial-a-ride problems. This approach leverages a graphics processing unit to generate several future scenarios based on the available stochastic information for efficient vehicle dispatching. Furthermore, he is working on generalizing the developed framework for a wider range of combinatorial optimization problems in the literature.