Research Focus: Designing efficient and reliable systems; Utilizing concepts of natural interaction for work design; Defining the value of information in supply chains.

Anahita Khojandi is a professor in the Department of Industrial and Systems Engineering and Heath Endowed Faculty Fellow in Business & Engineering at the University of Tennessee, Knoxville. She received her PhD in Industrial Engineering from University of Pittsburgh. Her research interests include decision making under uncertainty and partial information, machine learning, and reinforcement learning, with applications in healthcare and genomics, environmental engineering and sustainability, intelligent transportation systems, manufacturing, and maintenance optimization.

Khojandi’s research has been supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), the Department of Energy (DOE), and the Department of Defense (DOD), among others. During the 2024–2025 academic year, Khojandi was selected by the American Association for the Advancement of Science (AAAS) to participate in the Science & Technology Policy Fellowship (STPF) as part of the Rapid Response Cohort in Artificial Intelligence (AI). In 2023, she was awarded the NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (NIH AIM-AHEAD) Fellowship in Leadership. She currently serves as the Vice President of Membership and Professional Recognition at INFORMS. She is a member of INFORMS, IISE, and IEEE.