Professional Summary
Lionel Cedric Gohouede is an emerging African specialist in AI, computational hydrology, mathematical modelling, stochastic simulation, and scientific computing for water, climate, and energy-related systems. He holds an engineering degree in Mathematical Engineering and Modelling, a master's degree in Numerical Modelling of Energy Systems, and is currently pursuing advanced training in AI for Science at AIMS South Africa while remaining linked to doctoral research in Computational Mathematics. His work connects mathematical theory with practical water-science applications, including river-discharge modelling, rainfall-runoff modelling, uncertainty quantification, probabilistic weather and precipitation forecasting, fluid dynamics, porous-media flow, and climate-related modelling. With peer-reviewed publications, international conference presentations, university teaching experience, and prestigious scholarships including Google DeepMind and Pan African University support, he represents a high-potential new generation of African computational water scientists. His expertise is especially valuable for Africa's future in AI-supported hydrology, climate-resilient water management, weather forecasting, research innovation, and data-driven decision-making.
Key Expertise
Major Projects and Contributions
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AI for Science and Probabilistic Precipitation Forecasting
Pursues advanced AI for Science research at AIMS South Africa, with interest in probabilistic downscaling of GenCast precipitation forecasts and the application of artificial intelligence to hydrology, weather forecasting, and climate-related water sciences. -
Stochastic Modelling of Daily River Discharge in the Oueme at Save Basin
Conducted mathematical and stochastic modelling of daily river discharge using stochastic differential equations in the Oueme at Save Basin, Benin, West Africa, contributing to hydrological prediction, river-flow analysis, and uncertainty-aware water-resources modelling. -
Rainfall-Runoff Modelling and Hydrological Uncertainty Research
Contributes to rainfall-runoff modelling research, including work connected to the HyMoLAP / GRHyMoLAP modelling direction, with emphasis on streamflow simulation, composite forcing functions, stochastic approaches, and uncertainty analysis under climate variability. -
Numerical Modelling of Heat and Mass Transfer in Porous Media
Completed master-level research on coupled heat and mass transfer in anisotropic porous media saturated with non-Newtonian fluid, using mathematical modelling, numerical simulation, and multiphysics tools relevant to environmental, energy, and fluid-flow systems. -
Computational Fluid Dynamics and Porous-Media Flow Research
Developed research experience in the numerical modelling of non-Newtonian fluid flow, gravity current flow, double-diffusion, anisotropic porous media, and vertical-plate heat and mass transfer using tools such as COMSOL Multiphysics and MATLAB. -
Applied Hydrology and Stochastic Precipitation Simulation
Worked as a research assistant in applied hydrology, supporting numerical simulation of hydrological models and stochastic simulation of daily precipitation using Markov chains and MATLAB for water and climate applications in Benin. -
University Teaching in Mathematical and Computational Sciences
Provides university-level teaching and teaching assistance in Analysis I and II, Numerical Computing, Optimization, Operations Research, Mathematics, Numerical Analysis, and Introduction to the Finite Element Method, supporting the training of future African engineers and scientists. -
Scientific Publications, Conference Presentations, and Peer Review
Has contributed to peer-reviewed scientific publications, manuscripts under review, oral conference presentations in hydrology, rainfall-runoff modelling, stochastic modelling, porous-media flow, and scientific computing, and serves as a reviewer for the African Journal of Environmental Science and Technology.