Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
Georgia Tech pursues leading-edge research with industry, government, and community partners.
At ISyE, we are a national leader in 10 core fields of specialization: Advanced Manufacturing, Analytics and Machine Learning, Applied Probability and Simulation, Data Science and Statistics, Economic Decision Analysis, Energy and Sustainable Systems, Health and Humanitarian Systems, Optimization, Supply Chain Engineering, and Systems Informatics and Control.
ISyE's faculty and staff members strive to provide a world-class educational experience for the Stewart School's undergraduate and graduate students, and to forge long-lasting relationships with ISyE alumni and industry partners. If you have benefited from a connection with an ISyE faculty or staff member, feel free to take a moment to send a thank-you note to that person via this web form.
You can stay in touch with all things ISyE through our news feed, by reading one of our publications, or attending one of our upcoming events. ISyE employs some of the world’s most experienced researchers in their fields who enjoy sharing their perspectives on a wide variety of topics. Our faculty is world-renowned and our students are intellectually curious. Our alumni can be found around the globe in leadership positions within a wide variety of fields.
Vidya Muthukumar is an Assistant Professor in the H. Milton Stewart School of Industrial Engineering and the School of Electrical and Computer Engineering. Prior to joining Georgia Tech, she spent Fall 2020 at the Simons Institute as a Simons-Berkeley Research Fellow for the program on Theory of Reinforcement Learning.
Dr. Muthukumar received her PhD degree in the EECS Department, University of California at Berkeley, Berkeley, CA, USA. Her broad interests are in game theory, online and statistical learning. She is particularly interested in designing learning algorithms that provably adapt in strategic environments, fundamental properties of overparameterized models, and fairness, accountability, and transparency in machine learning. Her honors include the Simons-Berkeley Research Fellowship, IBM Research Science for Social Good Fellowship, the SanDisk Fellowship, and the UC Berkeley EECS Outstanding Course Development and Teaching Award. She served as the Co-President of UC Berkeley Women in Computer Science and Engineering in 2017. Dr. Muthukumar serves on the senior program committee for COLT 2021.