Grani Hanasusanto, assistant professor of Operations Research and Industrial Engineering, has been selected to receive a 2018 Faculty Early Career Development (CAREER) Award totaling $500,000 from the National Science Foundation. This award was designed to support early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.

By leveraging and inventing new techniques in distributionally robust optimization, Hanasusanto’s proposed research work for the CAREER program aims to significantly advance the state-of-the-art methodologies for addressing the challenges of dynamic decision problems and to initiate the effort for industrial-size applications. The research outputs of this work will have immediate practical impact on important applications in energy, engineering, machine learning, operations management, finance, etc., and on learning problems in robotics and automatic control.

This CAREER work will also advance the state of pedagogy by developing an integrated curriculum that bridges the gap between the deep theory of decision-making under uncertainty and the real-life practice. The proposed curriculum is aimed at future practitioners and researchers, and is designed to equip these experts with the analytical skills and tools to deal with real-life decision-making problems under uncertainty.

Before joining the faculty at The University of Texas at Austin, Hanasusanto was a postdoctoral researcher at the College of Management of Technology at École Polytechnique Fédérale de Lausanne. He holds a doctoral degree in Operations Research from Imperial College London and an MSc in Financial Engineering from the National University of Singapore. His research focuses on the design and analysis of tractable solution schemes for decision-making problems under uncertainty, with applications in operations management, energy systems, machine learning and data analytics.