Socio-Economic Planning Sciences
Fair and diverse allocation of scarce resources
Dr. Hadis Anahideh is a Research Assistant Professor of the Mechanical and Industrial Engineering Department at University of Illinois at Chicago. She received her Ph.D. degree in Industrial Engineering from the University of Texas at Arlington. She holds a Master's degree in IE and a Bachelor's Degree in Applied Math. Dr. Anahideh's research objectives center around Sequential Optimization, Active Learning, Statistical Learning, and Algorithmic Fairness. She primarily seeks to develop innovative learning and optimization methodologies, which have potential utility for multiple fields within the engineering operations and design, and social systems.
Dr. Lulu Kang is an Associate Professor of the Department of Applied Math at Illinois Institute of Technology. She holds an M.S. in Operations Research and a Ph.D. in Industrial Engineering from Georgia Institute of Technology. Dr. Kang's research focus is data science. Specifically, her research areas include statistical learning, uncertainty quantification, statistical design and analysis of experiments, Bayesian computational statistics, optimization and their application in complex systems in manufacturing, energy, and other engineering fields. Dr. Kang serves as the associate editor for journals SIAM/ASA Journal on Uncertainty Quantification and Technometrics.
Nazanin Nezami is a Ph.D. student in the industrial engineering and operations research program at the University of Illinois at Chicago. She received her B.S. degree in industrial engineering from Sharif University of Technology in 2018. Subsequently, she obtained an M.S. degree from the Industrial and Systems Engineering Department at the University of Minnesota, Twin Cities. She is a research assistant at Optimal Learning and Exploration (OPLEX) Lab under the supervision of Dr. Anahideh. Her main research interests are in data-driven decision making and optimal learning.