
About
Vatsal Maru is an Assistant Professor of Instruction in the Department of Information Systems at the Jindal School of Management (JSOM), University of Texas at Dallas. His expertise lies at the intersection of applied machine learning, optimization algorithms, and industrial operations. He holds a PhD in Information Systems (2022), MS (2017), and BE (2013) from Wichita State University and Gujarat Technological University, respectively.
His research focuses on leveraging AI and optimization techniques to address complex challenges in supply chain networks, scheduling systems, and cyber-physical frameworks. Key areas include real-time industrial operations, decentralized decision-making, and crisis-resilient logistics. Courses taught include Object-Oriented Programming in Python, Web Analytics, and MIS-related curricula.
Maru’s recent work explores deep reinforcement learning applications for aircraft scheduling and vehicle routing optimization, alongside IoT-driven cyber-physical systems for smart manufacturing. His publications emphasize real-world problem-solving, such as improving pandemic-era supply chains and enhancing student outcomes via assessment frameworks.
Active in professional organizations like the Society of Manufacturing Engineers and IISE, he bridges academic research with industrial practice. His contributions span over a decade of work in computational intelligence, optimization modeling, and systems design.
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