Research areas

@article{guo2026tightening,
  title = {Tightening Quadratic Convex Relaxations for the Alternating Current Optimal Transmission Switching Problem},
  author = {Guo, Cheng and Nagarajan, Harsha and Bodur, Merve},
  journal = {INFORMS Journal on Computing},
  volume = {38},
  number = {3},
  pages = {921--942},
  year = {2026},
  publisher = {INFORMS},
  doi = {10.1287/ijoc.2023.0236},
}

@article{castellano2026grip,
  title = {{GRIP}: Reinforcement Learning-guided Iterative Partitioning for Global Optimization of {QCQPs}},
  author = {Castellano, Agustin and Nagarajan, Harsha},
  journal = {AAAI Conference on Artificial Intelligence (AAAI 2027)},
  year = {2026},
}

@article{meng2026lap,
  title = {{LAP}: Learning-Augmented Partitioning for Accelerating Global Optimization of Nonconvex {QCQPs}},
  author = {Meng, Dekang and Nagarajan, Harsha and Tanneau, Mathieu and Bent, Russell W. and Van Hentenryck, Pascal},
  journal = {AAAI Conference on Artificial Intelligence (AAAI 2027)},
  year = {2026},
}

@article{nagarajan2025provably,
  title = {Provably Optimal Quantum Circuits with Mixed-Integer Programming},
  author = {Nagarajan, Harsha and Szabo, Zsolt},
  journal = {Quantum},
  year = {2025},
  month = oct,
}

@article{kannan2025strong,
  title = {Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex {QCQPs}},
  author = {Kannan, Rohit and Nagarajan, Harsha and Deka, Deepjyoti},
  journal = {INFORMS Journal on Computing},
  volume = {38},
  number = {5},
  pages = {1323--1343},
  year = {2025},
  publisher = {INFORMS},
  month = sep,
  doi = {10.1287/ijoc.2023.0424},
}

@article{cengil2025tightening,
  title = {Learning to Accelerate Tightening of Convex Relaxations of the {AC} Optimal Power Flow Problem},
  author = {Cengil, Fatih and Nagarajan, Harsha and Bent, Russell W. and Eksioglu, Sandra D. and Eksioglu, Burak},
  journal = {Computational Optimization and Applications},
  volume = {92},
  number = {3},
  pages = {761--786},
  year = {2025},
  publisher = {Springer},
  month = aug,
  doi = {10.1007/s10589-025-00715-7},
}

@inproceedings{sundar2023optimization,
  title = {Optimization-Based Bound Tightening using a Strengthened {QC}-Relaxation of the Optimal Power Flow Problem},
  author = {Sundar, Kaarthik and Nagarajan, Harsha and Misra, Sidhant and Lu, Mowen and Coffrin, Carleton and Bent, Russell W.},
  booktitle = {62nd IEEE Conference on Decision and Control (CDC)},
  location = {Singapore},
  pages = {4598--4605},
  year = {2023},
  publisher = {IEEE},
  doi = {10.1109/CDC49753.2023.10384116},
}

@article{cengil2022learning,
  title = {Learning to Accelerate Globally Optimal Solutions to the {AC} Optimal Power Flow Problem},
  author = {Cengil, Fatih and Nagarajan, Harsha and Bent, Russell W. and Eksioglu, Sandra D. and Eksioglu, Burak},
  journal = {Electric Power Systems Research},
  note = {Presented at the 2022 Power Systems Computation Conference (PSCC), Porto, Portugal},
  volume = {212},
  pages = {108275},
  year = {2022},
  publisher = {Elsevier},
  month = jul,
  doi = {10.1016/j.epsr.2022.108275},
}

@article{sundar2021sequence,
  title = {Sequence of Polyhedral Relaxations for Univariate Functions},
  author = {Sundar, Kaarthik and Sanjeevi, Sujeevraja and Nagarajan, Harsha},
  journal = {Optimization and Engineering},
  volume = {23},
  number = {2},
  pages = {877--894},
  year = {2021},
  publisher = {Springer},
  month = feb,
  doi = {10.1007/s11081-021-09609-z},
}

@article{sundar2021piecewise,
  title = {Piecewise Polyhedral Formulations for a Multilinear Term},
  author = {Sundar, Kaarthik and Nagarajan, Harsha and Linderoth, Jeff and Wang, Site and Bent, Russell W.},
  journal = {Operations Research Letters},
  volume = {49},
  number = {1},
  pages = {144--149},
  year = {2021},
  publisher = {Elsevier},
  month = jan,
  doi = {10.1016/j.orl.2020.12.002},
}

@inproceedings{gopinath2020proving,
  title = {Proving Global Optimality of {ACOPF} Solutions},
  author = {Gopinath, Smitha and Hijazi, Hassan L. and Weisser, Tillmann and Nagarajan, Harsha and Yetkin, Mertcan and Sundar, Kaarthik and Bent, Russell W.},
  booktitle = {Power Systems Computation Conference (PSCC)},
  location = {Virtual},
  volume = {189},
  pages = {106688},
  year = {2020},
  publisher = {Elsevier},
  month = jun,
  doi = {10.1016/j.epsr.2020.106688},
}

@article{garcia2020generalized,
  title = {Generalized Convex Hull Pricing for the {AC} Optimal Power Flow Problem},
  author = {Garcia, Manuel and Nagarajan, Harsha and Baldick, Ross},
  journal = {IEEE Transactions on Control of Network Systems},
  volume = {7},
  number = {3},
  pages = {1500--1510},
  year = {2020},
  publisher = {IEEE},
  month = mar,
  doi = {10.1109/TCNS.2020.2982572},
}

@article{nagarajan2019adaptive,
  title = {An Adaptive, Multivariate Partitioning Algorithm for Global Optimization of Nonconvex Programs},
  author = {Nagarajan, Harsha and Lu, Mowen and Wang, Site and Bent, Russell W. and Sundar, Kaarthik},
  journal = {Journal of Global Optimization},
  volume = {74},
  number = {4},
  pages = {639--675},
  year = {2019},
  publisher = {Springer},
  month = jan,
  doi = {10.1007/s10898-018-00734-1},
}

@inproceedings{narimani2018comparison,
  title = {Comparison of Various Trilinear Monomial Envelopes for Convex Relaxations of Optimal Power Flow Problems},
  author = {Narimani, Mohammad Rasoul and Molzahn, Daniel K. and Nagarajan, Harsha and Crow, Mariesa L.},
  booktitle = {IEEE Global Conference on Signal and Information Processing (GlobalSIP)},
  location = {Anaheim, CA},
  pages = {865--869},
  year = {2018},
  publisher = {IEEE},
  month = nov,
  doi = {10.1109/GlobalSIP.2018.8646323},
}

@inproceedings{nagarajan2018convex,
  title = {Convex Hull Formulations for Mixed-Integer Multilinear Functions},
  author = {Nagarajan, Harsha and Sundar, Kaarthik and Hijazi, Hassan L. and Bent, Russell W.},
  booktitle = {XIV International Global Optimization Workshop (LeGO)},
  location = {Leiden, Netherlands},
  volume = {2070},
  pages = {020037},
  year = {2018},
  publisher = {AIP Publishing},
  month = sep,
  doi = {10.1063/1.5090004},
}

@inproceedings{kroger2018juniper,
  title = {Juniper: An Open-Source Nonlinear Branch-and-Bound Solver in {Julia}},
  author = {Kröger, Ole and Coffrin, Carleton and Hijazi, Hassan L. and Nagarajan, Harsha},
  booktitle = {International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR)},
  location = {Delft, Netherlands},
  series = {Lecture Notes in Computer Science},
  volume = {10848},
  pages = {377--386},
  year = {2018},
  publisher = {Springer},
  month = jun,
  doi = {10.1007/978-3-319-93031-2_27},
}

@inproceedings{lu2018tight,
  title = {Tight Piecewise Convex Relaxations for Global Optimization of Optimal Power Flow},
  author = {Lu, Mowen and Nagarajan, Harsha and Bent, Russell W. and Eksioglu, Sandra D. and Mason, Scott Jennings},
  booktitle = {Power Systems Computation Conference (PSCC)},
  location = {Dublin, Ireland},
  pages = {1--7},
  year = {2018},
  publisher = {IEEE},
  month = jun,
  doi = {10.23919/PSCC.2018.8442456},
}

@inproceedings{wu2017adaptive,
  title = {Adaptive Convex Relaxations for Gas Pipeline Network Optimization},
  author = {Wu, Fei and Nagarajan, Harsha and Zlotnik, Anatoly V. and Sioshansi, Ramteen},
  booktitle = {American Control Conference (ACC)},
  location = {Seattle, WA},
  pages = {4710--4716},
  year = {2017},
  publisher = {IEEE},
  month = jun,
  doi = {10.23919/ACC.2017.7963683},
}

@inproceedings{nagarajan2016tightening,
  title = {Tightening {McCormick} Relaxations for Nonlinear Programs via Dynamic Multivariate Partitioning},
  author = {Nagarajan, Harsha and Lu, Mowen and Yamangil, Emre and Bent, Russell W.},
  booktitle = {Principles and Practice of Constraint Programming (CP)},
  location = {Toulouse, France},
  series = {Lecture Notes in Computer Science},
  volume = {9892},
  pages = {369--387},
  year = {2016},
  publisher = {Springer},
  month = sep,
  doi = {10.1007/978-3-319-44953-1_24},
}

@article{dube2026semimarkov,
  title = {Hierarchical Semi-Markov Models with Duration-Aware Dynamics for Activity Sequences},
  author = {Dube, Rohit and Gautam, Natarajan and Banerjee, Amarnath and Nagarajan, Harsha},
  journal = {Energy and Buildings},
  volume = {360},
  pages = {117338},
  year = {2026},
  publisher = {Elsevier},
  month = jun,
  doi = {10.1016/j.enbuild.2026.117338},
}

@article{castellano2026grip,
  title = {{GRIP}: Reinforcement Learning-guided Iterative Partitioning for Global Optimization of {QCQPs}},
  author = {Castellano, Agustin and Nagarajan, Harsha},
  journal = {AAAI Conference on Artificial Intelligence (AAAI 2027)},
  year = {2026},
}

@article{meng2026lap,
  title = {{LAP}: Learning-Augmented Partitioning for Accelerating Global Optimization of Nonconvex {QCQPs}},
  author = {Meng, Dekang and Nagarajan, Harsha and Tanneau, Mathieu and Bent, Russell W. and Van Hentenryck, Pascal},
  journal = {AAAI Conference on Artificial Intelligence (AAAI 2027)},
  year = {2026},
}

@inproceedings{shivakumar2026twolevel,
  title = {Two-level Optimization and Agentic {AI} Workflow for Molecule Discovery},
  author = {Shivakumar, Sachin and Summers, Thomas J. and Augustine, Logan J. and Taylor, Michael G. and Lee, Jiyoung and Somasundaram, Rahul and Kazi, Saif R. and Nagarajan, Harsha and Lemons, Nathan W. and Yang, Ping and Perez, Danny and Bent, Russell W.},
  booktitle = {2nd Workshop on Simulations for Biology and Chemistry, NeurIPS 2026},
  year = {2026},
}

@article{cho2025sparse,
  title = {Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids},
  author = {Cho, Young-ho and Nagarajan, Harsha and Deka, Deepjyoti and Zhu, Hao},
  journal = {IEEE Transactions on Power Systems},
  year = {2025},
  month = dec,
}

@techreport{dube2026interval,
  title = {Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach},
  author = {Dube, Rohit and Gautam, Natarajan and Banerjee, Amarnath and Nagarajan, Harsha},
  institution = {arXiv preprint},
  year = {2025},
  month = nov,
}

@article{kannan2025strong,
  title = {Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex {QCQPs}},
  author = {Kannan, Rohit and Nagarajan, Harsha and Deka, Deepjyoti},
  journal = {INFORMS Journal on Computing},
  volume = {38},
  number = {5},
  pages = {1323--1343},
  year = {2025},
  publisher = {INFORMS},
  month = sep,
  doi = {10.1287/ijoc.2023.0424},
}

@article{cengil2025tightening,
  title = {Learning to Accelerate Tightening of Convex Relaxations of the {AC} Optimal Power Flow Problem},
  author = {Cengil, Fatih and Nagarajan, Harsha and Bent, Russell W. and Eksioglu, Sandra D. and Eksioglu, Burak},
  journal = {Computational Optimization and Applications},
  volume = {92},
  number = {3},
  pages = {761--786},
  year = {2025},
  publisher = {Springer},
  month = aug,
  doi = {10.1007/s10589-025-00715-7},
}

@article{grosskopf2025ursa,
  title = {{URSA}: The Universal Research and Scientific Agent},
  author = {Grosskopf, Michael J. and Debardeleben, Nathan and Bent, Russell W. and Somasundaram, Rahul and Michaud, Isaac and Lui, Arthur and Graham, Warren D. and Wimmer, Golo A and Shivakumar, Sachin and Vendrell Gallart, Joan and Nagarajan, Harsha and Lawrence, Earl},
  journal = {Journal of Open Source Software},
  year = {2025},
}

@article{cengil2022learning,
  title = {Learning to Accelerate Globally Optimal Solutions to the {AC} Optimal Power Flow Problem},
  author = {Cengil, Fatih and Nagarajan, Harsha and Bent, Russell W. and Eksioglu, Sandra D. and Eksioglu, Burak},
  journal = {Electric Power Systems Research},
  note = {Presented at the 2022 Power Systems Computation Conference (PSCC), Porto, Portugal},
  volume = {212},
  pages = {108275},
  year = {2022},
  publisher = {Elsevier},
  month = jul,
  doi = {10.1016/j.epsr.2022.108275},
}