Nelson Uhan

Dr. Nelson Uhan applies his expertise to solve challenges in the field of industrial engineering, with a particular focus on combinatorial optimization. As an Assistant Professor at Purdue University, he leverages his extensive background in applied mathematics and operations research to address complex problems in scheduling, game theory, logistics, transportation, and network design. Dr. Uhan's academic journey began with an A.B. in Applied Mathematics from Harvard University, followed by an S.M. and Ph.D. in Operations Research from MIT. His educational foundation has equipped him with a robust analytical skill set, enabling him to tackle intricate issues in mathematical programming and network design. At Purdue University, Dr. Uhan is actively involved in research that seeks to enhance the efficiency and effectiveness of various industrial systems. His work often involves developing innovative mathematical models and algorithms that can be applied to real-world scenarios, thereby improving decision-making processes in logistics and transportation. In addition to his research, Dr. Uhan is dedicated to teaching and mentoring the next generation of engineers. He is committed to fostering a collaborative learning environment where students can engage with cutting-edge concepts in industrial engineering and develop the skills necessary to excel in their future careers.