Through our objective of solving optimization problems under uncertainty in energy management, we explore, leverage, and enhance techniques in optimal transport, machine learning, convex optimization, and stochastic optimization algorithms.

I am dedicated to combining theoretical research in optimization with practical applications across industries, including energy, biomedical sciences, and technology-driven fields.

Please have a look at my personal page for more : https://dan-mim.github.io/