Assistant Professor

The petitioner proposes to continue research on developing state-of-the-art techniques and solutions for identifying efficient production and supply chain decisions. His work involves building optimization and machine learning models to improve the operational efficiency of business supply chains and operations networks. He intends to collect business requirements, identify pain points, and publish original industrial engineering research in peer-reviewed venues.

The petitioner proposes to develop algorithms for optimal dynamic pricing and routing to improve performance in industrial and systems engineering applications. This work focuses on enhancing supply chain management, last-mile deliveries, operations research, and revenue management through advanced mathematical modeling.

The petitioner proposes to continue his research on developing mathematical models and solution algorithms to improve 'factory-in-a-box' supply chain systems and optimize maritime transport. His work focuses on facilitating efficient resource allocation to reduce traffic accidents and minimize supply chain disruptions.

The petitioner proposes to continue his research on designing and optimizing manufacturing processes and systems to enhance and scale the development of pharmaceuticals. His work specifically focuses on addressing critical failures and gaps in the global pharmaceutical supply chain and optimizing polymer injection techniques.