Mohammed Al-Mahmodi is a Ph.D. student in Industrial and Systems Engineering at Binghamton University, specializing in renewable energy systems, energy analytics, and modeling. His research expertise includes advanced optimization techniques, hybrid renewable energy modeling, and uncertainty quantification in energy forecasting and machine learning methods. Mohammed has authored about 15 journal articles and conference papers, and a textbook. His recent publications focus on optimizing green hydrogen production systems and energy storage technologies, contributing significantly to techno-economic analyses and renewable energy forecasting methodologies. Mohammed holds a master's degree, possesses strong computational skills across Python, Julia, SAS, MATLAB, and LaTeX, and actively engages in research collaborations involving industry partners nationally and internationally.