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

Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning

Liangyuan Na, Cong Yang, Chi-Cheng Lo, Fangyuan Zhao, Yoshimi Fukuoka, Anil Aswani. “Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning”. JAMA Netw Open. 2018;1(8):e186040. doi:10.1001/jamanetworkopen.2018.6040. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2719130

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Simplex QP-based Methods for Minimizing a Conic Quadratic Function over Polyhedra

A. Atamturk and A. Gomez. Simplex QP-based Methods for Minimizing a Conic Quadratic Function over Polyhedra. Mathematical Programming Computation 11, 311-340, 2019. https://doi.org/10.1007/s12532-018-0152-7

Optimal Black Start Allocation for Power System Restoration

Georgios Patsakis, Deepak Rajan, Ignacio Aravena, Jennifer Rios and Shmuel Oren, “Optimal Black Start Allocation for Power System Restoration”, IEEE PES Transactions, Vol. 33, No. 6, (2018) pp 6766-6776

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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.

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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.

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