Research
IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.
Selected Publications
Machine Learning and Data Mining with Combinatorial Optimization Algorithms
Dorit S. Hochbaum. Machine Learning and Data Mining with Combinatorial Optimization Algorithms. Tutorials in Operations Research, pages 109-129. INFORMS, 2018. Available online.
A Bound Strengthening Method for Optimal Transmission Switching in Power Systems
Salar Fattahi, Javad Lavaei and Alper Atamturk. A Bound Strengthening Method for Optimal Transmission Switching in Power Systems. IEEE Transactions on Power Systems 34, 280-291, 2019. https://ieeexplore.ieee.org/document/8451930.
Learning 2D Surgical Camera Motion From Demonstrations
Learning 2D Surgical Camera Motion From Demonstrations. Jessica J. Ji, Sanjay Krishnan, Vatsal Patel, Danyal Fer, Ken Goldberg. IEEE International Conference on Automation Science and Engineering (CASE), Munich, Germany, August 2018.
Demand-Side Energy Management under Time-Varying Prices
Liang, Yong & Deng, Tianhu & Shen, Max. (2018). Demand-Side Energy Management under Time-Varying Prices. IISE Transactions. 51. 1-39. 10.1080/24725854.2018.1504357.
Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates
Zeyu Zheng, Harsha Honnappa, Peter W. Glynn. “Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates“. Operations Research
Using telephone call rates and nurse-to-patient ratios as measures of resilient performance under high patient flow conditions
Miller, A., Aswani, A., Zhou, M. et al. Using telephone call rates and nurse-to-patient ratios as measures of resilient performance under high patient flow conditions. Cogn Tech Work 21, 225–236 (2019). https://doi.org/10.1007/s10111-018-0498-7