Publications

Journal Articles:

2022:

  • Y. Sun, J. Tu, M. A. Bragin, and L. Zhang, “A Simulation-based Integrated Virtual Testbed for Dynamic Optimization in Smart Manufacturing Systems,” Journal of Advanced Manufacturing and Processing, 2022, e10141. DOI: 10.1002/amp2.10141.
  • N. Nikmehr, M. A. Bragin, P. B. Luh, and P. Zhang, “Computationally Distributed and Asynchronous Operational Optimization of Droop-Controlled Networked Microgrids,” IEEE Open Access Journal of Power and Energy, vol. 9, July 2022, 265 – 277. DOI: 10.1109/OAJPE.2022.3188733.
  • F. Feng, P. Zhang, M. A. Bragin, and Y. Zhou, “Novel Resolution of Unit Commitment Problems through Quantum Surrogate Lagrangian Relaxation,” accepted to IEEE Transactions on Power Systems.
  • W. Wan, P. Zhang, M. A. Bragin, and P. B. Luh, “Cooperative Fault Management for Resilient Integration of Renewable Energy,” Electric Power Systems Research, Volume 211, October 2022, 108147. DOI: 10.1016/j.epsr.2022.108147.
  • M. A. Bragin, B. Yan, A. Kumar, N. Yu, and P. Zhang, “Efficient Operations of Micro-Grids with Meshed Topology and Under Uncertainty through Exact Satisfaction of AC-PF, Droop Control and Tap-Changer Constraints,” Energies, 2022, 15(10), 3662. DOI: 10.3390/en15103662
  • N. Raghunathan, M. A. Bragin, B. Yan, P. B. Luh, K. Moslehi, X. Feng, Y. Yu, C.-N. Yu, and C.-C. Tsai, “Exploiting Soft Constraints within Decomposition and Coordination Methods for Sub-Hourly Unit Commitment,” International Journal of Electrical Power & Energy Systems, Volume 139, July 2022, 108023. DOI: 10.1016/j.ijepes.2022.108023.
  • D. Zhdanov, S. Bhattacharjee, and M. A. Bragin, “Incorporating FAT and Privacy Aware AI Modeling Approaches into Business Decision Making Frameworks,” Decision Support Systems, Volume 155, April 2022, 113715. DOI: 10.1016/j.dss.2021.113715.
  • M. A. Bragin, and Y. Dvorkin, “TSO-DSO Operational Planning Coordination through “l1-Proximal” Surrogate Lagrangian Relaxation,” IEEE Transactions on Power Systems, vol. 37, no. 2, March 2022, pp. 1274-1285. DOI: 10.1109/TPWRS.2021.3101220.
  • N. Nikmehr, P. Zhang, and M. A. Bragin, “Quantum Distributed Unit Commitment: An Application in Microgrids,” IEEE Transactions on Power Systems, Volume: 37, Issue: 5, September 2022, pp. 3592 – 3603. DOI:10.1109/TPWRS.2022.3141794.

2021:

  • J. Wu, P. B. Luh, Y. Chen, M. A. Bragin, and B. Yan, “A Novel Optimization Approach for Sub-Hourly Unit Commitment with Large Numbers of Generators and Virtual Transactions,” IEEE Transactions on Power Systems, vol. 37, issue 5, September 2022, pp.3716 – 3725. DOI: 10.1109/TPWRS.2021.3137842.
  • A.-B. Liu, P. B. Luh, B. Yan, and M. A. Bragin, “A Novel Integer Linear Formulation for Job-shop Scheduling Problems,” IEEE Robotics and Automation Letters, vol. 6, no. 3, Jun. 2021, pp. 5937 – 5944. DOI: 10.1109/LRA.2021.3086422.
  • L. S. Thakur, and M. A. Bragin, “Data Interpolation by Near-Optimal Splines with Free Knots Using Linear Programming,” Mathematics, 9, 1099, 2021. DOI: 10.3390/math9101099.
  • B. Yan, M. A. Bragin, and P. B. Luh, “An Innovative and Systematic Formulation Tightening Method for Job-Shop Scheduling,” IEEE Transactions on Automation Science and Engineering, vol. 19, issue 3, July 2022, pp. 2526– 2539. DOI: 10.1109/TASE.2021.3088047.

2020:

  • A.-B. Liu, P. B. Luh, M. A. Bragin, and B. Yan, “Ordinal-Optimization Concept Enabled Decomposition and Coordination of Mixed-Integer Linear Programming Problems,” IEEE Robotics and Automation Letters, vol. 5, issue 4, Oct. 2020, pp. 5051 – 5058. DOI: 10.1109/LRA.2020.3005125.
  • W. Wan, M. A. Bragin, B. Yan, Y. Qin, J. Philhower, P. Zhang, and P. B. Luh, “Distributed and Asynchronous Active Fault Management for Networked Microgrids,” IEEE Transactions on Power Systems, vol. 35, issue 5, Sept. 2020, pp. 3857 – 3868. DOI: 10.1109/TPWRS.2020.2976044.
  • M. A. Bragin, P. B. Luh, and B. Yan, “Distributed and Asynchronous Coordination of a Mixed-Integer Linear System via Surrogate Lagrangian Relaxation,” IEEE Transaction on Automation Science and Engineering, vol. 18, issue 3, June 2020, pp. 1191 – 1205. DOI: 10.1109/TASE.2020.2998048.
  • B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, M. A. Bragin, F. Zhao, J. Zhao, and I. Lelic, “A Systematic Formulation Tightening Approach for Unit Commitment Problems,” IEEE Transactions on Power Systems, vol. 35, issue 1, Jan. 2020, pp. 782 – 794. DOI: 10.1109/TPWRS.2019.2935003.

2019:

  • M. A. Bragin, P. B. Luh, B. Yan, and X. Sun, “A Scalable Solution Methodology for Mixed-Integer Linear Programming Problems Arising in Automation,” IEEE Transaction on Automation Science and Engineering, vol. 16, issue 2, April 2019, pp. 531 – 541. DOI: 10.1109/TASE.2018.2835298. (2020 Best Transactions Paper Honorable Mention)

2018:

  • B. Yan‡, M. A. Bragin‡, and P. B. Luh, “Novel Formulation and Resolution of Job-Shop Scheduling Problems,” IEEE Robotics and Automation Letters, vol. 3, no. 4, Oct. 2018, pp. 3387 – 3393. DOI: 10.1109/LRA.2018.2850056
  • X. Sun, P. B. Luh, M. A. Bragin, Y. Chen, J. Wan, and F. Wang, “A Novel Decomposition and Coordination Approach for Large-Scale Security Constrained Unit Commitment Problems with Combined Cycle Units,” IEEE Transactions on Power Systems, vol. 33, issue 5, Sept. 2018, pp. 5297 – 5308. DOI: 10.1109/PESGM.2017.8274098.

2017:

  • B. Yan, H. Fan, P. B. Luh, K. Moslehi, X. Feng, C.-N. Yu, M. A. Bragin, and Y. Yu, “Grid Integration of Wind Generation Considering Remote Wind Farms: Hybrid Markovian and Interval Unit Commitment,” IEEE/CAA Journal of Automatica Sinica, vol. 4, no. 2, April 2017, pp. 205 – 215.

2016:

  • M. A. Bragin, P. B. Luh, J. H. Yan, and G. A. Stern, “An Efficient Approach for Solving Mixed-Integer Programming Problems under the Monotonic Condition,” Journal of Control and Decision, vol. 3, no. 1, January 2016, pp. 44 – 67.

2015:

  • M. A. Bragin, P. B. Luh, J. H. Yan, N. Yu, and G. A. Stern, “Convergence of the Surrogate Lagrangian Relaxation Method,” Journal of Optimization Theory and Applications, vol. 164, issue 1, 2015, pp. 173 – 201, DOI: 10.1007/s10957-014-0561-3.

Conference Proceedings:

  1. D. Gurevin‡, M. A. Bragin‡, C. Ding‡, S. Zhou, L. Pepin, B. Li, and F. Miao, “Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation,” Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), pp. 2497-2504. DOI: 10.24963/ijcai.2021/344 (Acceptance rate: 13.9%)
  2. W. Wan, M. A. Bragin, P. B. Luh, and P. Zhang, “DA-AFM for Ultra PV and Wind Energy Integration,” to appear in proceedings of the IEEE PES 2021 General Meeting
  3. F. Hyder, B. Yan, M. A. Bragin, and P. B. Luh, “Impacts of UC Formulation Tightening on Computation of Convex Hull Prices,” to appear in proceedings of the IEEE PES 2021 General Meeting
  4. B. Yan, M. A. Bragin, and P. B. Luh, “Tightened Formulation and Resolution of Energy-Efficient Job-Shop Scheduling,” Proceedings of the IEEE 2020 IEEE CASE.
  5. J. Wu, P. B. Luh, Y. Chen, B. Yan, and M. A. Bragin, “A Decomposition and Coordination Approach for Large Sub-Hourly Unit Commitment,” Proceedings of the IEEE PES 2020 General Meeting, Montreal, Canada, 2020 (virtual conference).
  6. B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, M. A. Bragin, F. Zhao, J. Zhao, and I. Lelic, “Effects of Tightening Unit-level and System-level Constraints in Unit Commitment,” Proceedings of the IEEE PES 2019 General Meeting, Atlanta, GA, 2019.
  7. W. Wan, Y. Li, B. Yan, M. A. Bragin, J. Philhower, P. Zhang, and P. B. Luh, “Active Fault Management for Networked Microgrids,” Proceedings of the IEEE PES 2019 General Meeting, Atlanta, GA, 2019.
  8. W. Wan, Y. Li, B. Yan, M. A. Bragin, J. Philhower, P. Zhang, P. B. Luh, and G. Warner, “Active Fault Management for Microgrids,” the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), Washington, D.C., 2018.
  9. M. A. Bragin, B. Yan, Y. Li, P. B. Luh, and P. Zhang, “Economic Dispatch for a Distribution Network with Intermittent Renewables and Tap Changers,” Proceedings of the IEEE PES 2018 General Meeting, Portland, Oregon, 2018.
  10. B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, M. A. Bragin, F. Zhao, J. Zhao, and I. Lelic, “A Systematical Approach to Tighten Unit Commitment Formulations,” Proceedings of the IEEE PES 2018 General Meeting, Portland, OR. (Best Paper Session)
  11. M. A. Bragin, and Y. Dvorkin, “Toward Coordinated Transmission and Distribution Operations,” Proceedings of the IEEE PES 2018 General Meeting, Portland, OR, 2018.
  12. X. Sun, P. B. Luh, M. A. Bragin, Y. Chen, J. Wan, and F. Wang, “A Decomposition and Coordination Approach for Large-Scale Security Constrained Unit Commitment Problems with Combined Cycle Units,” Proceedings of the IEEE PES 2017 General Meeting, Chicago, IL, 2017. (Best Paper Session)
  13. B. Yan, P. B. Luh, E. Litvinov, T. Zheng, D. Schiro, M. A. Bragin, F. Zhao, J. Zhao, and I. Lelic “Effective Modeling and Resolution of Generation-Dependent Ramp Rates for Unit Commitment,” Proceedings of the IEEE PES 2017 General Meeting, Chicago, IL, 2017.
  14. M. A. Bragin, and P. B. Luh, “Distributed and Asynchronous Unit Commitment and Economic Dispatch,” Proceedings of the IEEE PES 2017 General Meeting, Chicago, IL, 2017.
  15. M. A. Bragin, P. B. Luh, J. H. Yan, and G. A. Stern, “An Efficient Approach for Unit Commitment and Economic Dispatch with Combined Cycle Units and AC Power Flow,” Proceedings of the IEEE PES 2016 General Meeting, Boston, MA, 2016.
  16. M. A. Bragin, P. B. Luh, J. H. Yan, and G. A. Stern, “Novel Exploitation of Convex Hull Invariance for Solving Unit Commitment by Using Surrogate Lagrangian Relaxation and Branch-and-Cut,” Proceedings of the IEEE PES 2015 General Meeting, Denver, CO, 2015.
  17. M. Di Somma, B. Yan, P. B. Luh, M. A. Bragin, N. Bianco, G. Graditi, L. Mongibello, and V. Naso, “Exergy-Efficient Management of Energy Districts.” In: Proceedings of the 11th World Congress on Intelligent Control and Automation, Shenyang, China, 2014, 29 June – 4 July, p. 2675–80.
  18. B. Yan, P. B. Luh, M. A. Bragin, C. Song, C. Dong, and Z. Gan, “Energy-Efficient Building Clusters,” Proceedings of the IEEE 2014 IEEE CASE.
  19. M. A. Bragin, P. B. Luh, J. H. Yan, and G. A. Stern, “Surrogate Lagrangian Relaxation and Branch-and-Cut for Unit Commitment with Combined Cycle Units,” Proceedings of the IEEE PES 2014 General Meeting, National Harbor, MD, 2014. (Best Paper Session)
  20. M. A. Bragin, P. B. Luh, J. H. Yan, N. Yu, and G. A. Stern, “Efficient Surrogate Optimization for Payment Cost Co-Optimization with Transmission Capacity Constraints,” Proceedings of the IEEE PES 2013 General Meeting, Vancouver, Canada, 2013. (Best Paper Session)
  21. M. A. Bragin, P. B. Luh, and J. H. Yan, “An Efficient Surrogate Optimization Method for Solving Linear Mixed-Integer Problems with Cross-Coupling Constraints,” Proceedings of the 10th WCICA, Beijing, China. 2012.
  22. X. Han, P. B. Luh, M. A. Bragin, J. H. Yan, N. Yu, and G. A. Stern, “Solving Payment Cost Co-Optimization Problems,” Proceedings of the IEEE PES 2012 General Meeting, San Diego, CA, 2012.
  23. M. A. Bragin, P. B. Luh, J. H. Yan, N. Yu, X. Han, and G. A. Stern, “An Efficient Surrogate Subgradient Method within Lagrangian Relaxation for the Payment Cost Minimization Problem,” Proceedings of the IEEE PES 2012 General Meeting, San Diego, CA, 2012.
  24. S. Bhattacharjee, M. A. Bragin, and D. Zhdanov, “A Parsimonious Methodology for Recommendation Systems on Datasets with Minimal Attributes and Large Time Span”, Statistical Challenges in Electronic Commerce Research (SCECR), 2012, Montreal, Quebec, Canada, June 28-29, 2012.
  25. M. A. Bragin, X. Han, P. B. Luh, and J. H. Yan, “Payment Cost Minimization Using Lagrangian Relaxation and Modified Surrogate Optimization Approach,” Proceedings of the IEEE PES 2011 General Meeting, Detroit, MI, 2011.
  26. S. Bhattacharjee, M. A. Bragin, and D. Zhdanov, “Accurate Recommendations of Online Movie Ratings: Large Data Sets with Low Dimensions and Span of Multiple Years”, 2010 Winter Conference on Business Intelligence, University of Utah, Salt Lake City, Utah, 2010.
  27. D. Zhdanov, M. A. Bragin, and S. Bhattacharjee, “Accurate Predictions of Online Movie Ratings: A Challenge to Improve Personalized Recommender Systems”, INFORMS Conference on Information Systems and Technology (CIST), Washington DC, October 2009.
  28. Bhattacharjee, M. A. Bragin, and D. Zhdanov, “Data-driven Prediction of Consumer Choice”, 2009 CORS/INFORMS International Meeting, Toronto, Canada, June 14-17, 2009.
  29. Bhattacharjee, M. A. Bragin, and D. Zhdanov, “A Million Dollar Reward: Accurate Online Prediction of Movie Ratings”, Fifth Symposium on Statistical Challenges in e-Commerce Research, Carnegie Mellon University, Pittsburgh, PA, May 30-31, 2009.

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