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Peter B. Luh                                                                                                                   
Board of Trustees Distinguished Professor
SNET Professor of Communications & Information
Office: ITE 348
Phone: (860) 486-4821
Email: peter.luh@uconn.edu

 

 

Laboratory:  Manufacturing Systems Laboratory 

 

Bio Sketch.  Peter B. Luh received his B.S. from National Taiwan University, M.S. from M.I.T., and Ph.D. from Harvard University.  He has been with the University of Connecticut since 1980, and currently is a Board of Trustees Distinguished Professor and the SNET Professor of Communications & Information Technologies.  Professor Luh is a Life Fellow of IEEE, and the Chair of IEEE TAB Periodicals Committee for the 2018-19 term, overseeing 190 IEEE journals and magazines.  He was the VP of Publications of IEEE Robotics and Automation Society (RAS, 2008-2011), the founding Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (2003-2007), and the Editor-in-Chief of IEEE Transactions on Robotics and Automation (1999-2003).  He was also the Founding Chair of the Steering Committee of the IEEE Conference on Automation Science and Engineering (2006-2011).  His research interests include smart grid, intelligent manufacturing, and smart and green buildings.  He received RAS 2013 Pioneer Award for his contributions to the development of near-optimal and efficient planning, scheduling, and coordination methodologies for manufacturing and power systems; and 2017 George Saridis Leadership Award for his exceptional vision and leadership in strengthening and advancing Automation.

Education:

  • B.S., Electrical Engineering, National Taiwan University, 1973
  • M.S., Aeronautics and Astronautics, Massachusetts Institute of Technology, 1977
  • Ph.D., Applied Mathematics, Harvard University, 1980

Research Interests:

Mathematical optimization and information technology applying to areas of strategic importance to the society, including Smart Grid – intermittent renewable (wind and solar) integration to the grid, auction methods for electricity markets, and microgrids; Smart and Green Buildings – optimized energy management, HVAC fault detection and diagnosis, crowd guidance in building emergencies, and eco communities; Intelligent Manufacturing – self-optimizing factories, planning, scheduling, and coordination of design, manufacturing, and service activities; and Mathematical optimization of large-scale mixed-integer problems, and decision-making under uncertain, distributed, or antagonistic environments.

Memberships:

  • Life Fellow, Institute of Electrical and Electronics Engineers (IEEE);
  • IEEE Technical Activities Board Periodicals Committee, Member (2011-2012; 2014-2017) and Chair (2018-19), overseeing IEEE 190 journals and magazines;
  • IEEE Robotics and Automation Society, Vice President for Publication Activities (2008-2011);
  • IEEE Transactions on Automation Science and Engineering, Founding Editor-in-Chief (2003-2008);
  • IEEE Transactions on Robotics and Automation, Technical/Associate Editor (1990-1994), Editor (1995-1999), Editor (1995-1999), Editor-in-Chief (1999-2003);
  • IEEE Conference on Automation Science and Engineering, Founding Chair of the Steering Committee (2006-2011) and member of the Steering Committee (2012-present).
  • Northeastern University (Shenyang, China), member of the Short-term Thousand Talent Program, State Key Laboratory of Synthetical Automation for Process Industry (2017-present);
  • Tsinghua University (Beijing, China), member of the Chaired Professor Group at the Center for Intelligent and Networked Systems, Department of Automation (2001-present);
  • Member, Connecticut Academy of Science and Engineering (CASE);
  • Member, Institute for Operations Research and the Management Sciences (INFORMS);
  • Member, Sigma Xi;

Awards:

  1. IEEE Robotics and Automation Society George Saridis Leadership Award, 2017 for his exceptional vision and leadership in strengthening and advancing Automation;
  2. IEEE Robotics and Automation Society Pioneer Award, 2013 for his pioneering contributions to the development of near-optimal and efficient planning, scheduling, and coordination methodologies for manufacturing and power systems;
  3. Best Conference Paper Award, 2008 IEEE Conference on Automation Science and Engineering, Washington DC, August 2008;
  4. IEEE Robotics and Automation Society Award in recognition of contributions as Editor-in-Chief of IEEE Transactions on Robotics and Automation, 2005;
  5. Distinguished Service Award, Connecticut Academy of Science and Engineering, 2005;
  6. Distinguished Service Award, IEEE Robotics and Automation Society, September 2003;
  7. Kayamori Best Automation Paper Award, 2003 IEEE International Conference on Robotics and Automation;
  8. 1996 King-Sun Fu Memorial Best Transactions Paper Award, IEEE Trans. on Robotics and Automation;
  9. Best Student Paper Award with Graduate Student Dong Chen, 1997 First International Conference on Operations and Quantitative Management;
  10. 1997 Outstanding Achievement Award, United Technologies Research Center;
  11. Award of Appreciation, 1993 East of California Asian American Studies Conference;
  12. Best Paper Award, the 1987 Joint Command and Control Research Symposium.

 

Recent Publications (Manufacturing Systems Laboratory):  
Archival Technical Journal Publications since 2015 (from a list of 152 journal papers):

  1. 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.
  2. N. Ding, H. Zhang, T. Chen, P. B Luh, “Stair Evacuation Simulation based on Cellular Automata Considering Evacuees’ Walk Preferences,” Chinese Physics B, Vol. 24, No. 6, June 2015.
  3. K. Mao, Q. Pan, T. Chai, P. B. Luh, “An Effective Subgradient Method for Scheduling a Steelmaking-Continuous Casting Process,” IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 3, July 2015, pp. 1140-1152, DOI: 10.1109/TASE.2014.2332511.
  4. M. Di Somma, B. Yan, N. Bianco, G. Graditi, B. Luh, L. Mongibello, and V. Naso, “Operation Optimization of a Distributed Energy System Considering Energy Costs and Exergy Efficiency,” Energy Conversion and Management, Vol. 103, October 2015, pp. 739-751, DOI: 10.1016/j.enconman.2015.07.009.
  5. B. Sun, P. B. Luh, Q. S. Jia, B. Yan, “Event-based Optimization within the Lagrangian Relaxation Framework for Energy Savings in HVAC Systems,” IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 4, October 2015, pp. 1396-1406, DOI: 10.1109/TASE.2015.2455419.
  6. Y. Yu, P. B. Luh, E. Litvinov, T. Zheng, J. Zhao and F. Zhao, “Grid Integration of Distributed Wind Generation: Hybrid Markovian and Interval Unit Commitment,” IEEE Transactions on Smart Grid, Vol. 6, No. 6, November 2015, pp. 3061-3072, DOI: 10.1109/TSG.2015.2430851.
  7. M. A. Bragin, P. B. Luh, J. H. Yan, N. Yu 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, DOI: 10.1080/23307706.2015.1129916.
  8. Y. Gao, T. Chen, H. Zhang and P. B. Luh, “Modified Social Force Model Based on Predictive Collision Avoidance Considering Degree of Competitiveness,” Fire Technology, published online April 2016, DOI: 10.1007/s10694-016-0573-7.
  9. B. Yan, M. Di Somma, N. Bianco, P. B. Luh, G. Graditi, L. Mongibello, and V. Naso, “Exergy-Based Operation Optimization of a Distributed Energy System through the Energy-Supply Chain,” Applied Thermal Engineering, Vol. 101, May 2016, pp. 741–751, DOI: 10.1016/j.applthermaleng.2016.02.029.
  10. M. Di Somma, B. Yan, N. Bianco, P. B. Luh, G. Graditi, L. Mongibello, and V. Naso, “Multi-Objective Operation Optimization of a Distributed Energy System for a Large-Scale Utility Customer,” Applied Thermal Engineering, Vol. 101, May 2016, pp. 752–761, DOI: 10.1016/j.applthermaleng.2016.02.027.
  11. X. Sun, P. B. Luh, K. W. Cheung, W. Guan, L. D. Michel, S. S. Venkata and M. T. Miller, “An Efficient Approach to Short-Term Load Forecasting at the Distribution Level,” IEEE Transactions on Power Systems, Vol. 31, No. 4, July 2016, pp. 2526-2537.  DOI: 10.1109/TPWRS.2015.2489679.
  12. S. M. Park, S. Y. Park, P. Zhang, P. B. Luh, M. T. J. Rakotomavo, and C. Serna, “Comparative Life Cycle Cost Analysis of Hardening Options for Critical Loads,” Energies, Vol. 9, No. 7, July 2016, DOI:10.3390/en9070553.
  13. A. Rong, P. B. Luh and R. Lahdelma, “Dynamic Programming Based Algorithm for the Unit Commitment of the Transmission-Constrained Multi-Site Combined Heat and Power System,” International Journal of Computer and Systems Engineering, World Academy of Science, Engineering and Technology, Vol. 10, No. 8, August 2016, pp. 1054-1061.
  14. C. Wang, P. B. Luh, P. Gribik, T. Peng, and L. Zhang, “Commitment Cost Allocation of Fast-start Units for Approximate Extended Locational Marginal Prices,” IEEE Transactions on Power Systems, Vol. 31, No. 6, Nov. 2016, pp. 4176-4184, DOI: 10.1109/TPWRS.2016.2524203.
  15. C. Wang, P. B. Luh, and N. Navid, “Ramp Requirement Design for Reliable and Efficient Integration of Renewable Energy,” IEEE Transactions on Power Systems, Vol. 32, No. 1, January 2017, pp. 562-571, DOI: 10.1109/TPWRS.2016.2555855.
  16. X. Lu, P. B. Luh, A. Tucker, T. Gifford, R. S. Astur and N. Olderman, “Impacts of Anxiety in Building Fire and Smoke Evacuation: Modeling and Validation,” IEEE Robotics and Automation Letters, Vol. 2, No. 1, Jan. 2017, pp. 255-260, DOI: 10.1109/LRA.2016.2579744.
  17. Y. Yu, P. B. Luh, E. Litvinov, T. Zheng, J. Zhao, F. Zhao and D. A. Schiro, “Transmission Contingency-Constrained Unit Commitment with High Penetration of Renewables via Interval Optimization,” IEEE Transactions on Power Systems, Vol. 32, Issue 2, March 2017, pp. 1410-1421, DOI: 10.1109/TPWRS.2016.2585521.
  18. B. Yan, P. B. Luh, G. Warner, and P. Zhang, “Operation and Design Optimization of Microgrids with Renewables,” IEEE Transactions on Automation Science and Engineering, Vol. 14, No. 2, April 2017, pp. 573-585, DOI 10.1109/TASE.2016.2645761.
  19. Y. Yan, P. B. Luh and K. R. Pattipati, “Fault Diagnosis of HVAC Air-Handling Systems Considering Fault Propagation Impacts Among Components,” IEEE Transactions on Automation Science and Engineering, Vol. 14, No. 2, April 2017, pp. 705-717, DOI 10.1109/TASE.2017.2669892.
  20. 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, DOI 10.1109/JAS.2017.7510505.
  21. M. Di Somma, B. Yan, N. Bianco, G. Graditi, P. B. Luh, L. Mongibello, and V. Naso, “Design Optimization of a Distributed Energy System through Cost and Exergy Assessments,” Energy Procedia, Vol. 105, June 2017, pp. 2451-2459, DOI: 10.1016/j.egypro.2017.03.706.
  22. L. Ren, Y. Qin, Y. Li, P. Zhang, B. Wang, P. B. Luh, S. Han, T. Orekan and T. Gong, “Enabling Resilient Distributed Power Sharing in Networked Microgrids through Software-Defined Networking,” Applied Energy, published online June 2017, DOI: 10.1016/j.apenergy.2017.06.006.
  23. C. H. Chen, N. M. Chen and P. B. Luh, “Head Dependence of Pump-Storage-Unit Model Applied to Generation Scheduling,” IEEE Transactions on Power Systems, Vol. 32, Issue 4, July 2017, pp. 2869-2877, DOI 10.1109/TPWRS.2016.2629093.
  24. K. Mittal, J. Wilson, B. Baillie, S. Gupta, G. Bollas and P. B. Luh, “Supervisory Control for Resilient Chiller Plants under Condenser Fouling,” IEEE Access, Vol. 5, August 2017, pp. 14028-14046, DOI: 10.1109/ACCESS.2017.2726017.
  25. M. Di Somma, B. Yan, N. Bianco, G. Graditi, P. B. Luh, L. Mongibello, and V. Naso, “Multi-objective Design Optimization of Distributed Energy Systems through Cost and Exergy Assessments,” Applied Energy, Vol. 204, Oct. 2017, pp. 1299-1316, DOI: 10.1016/j.apenergy.2017.03.105.
  26. R. Pilling, S. C. Chang and P. B. Luh, “Shapley Value-based Payment Calculation for Energy Exchange between Micro- and Utility Grids,” Games, Vol. 8, No. 45, Oct. 2017, DOI: 10.3390/g8040045.
  27. L. Ren, Y. Qin, B. Wang, P. Zhang, P. B. Luh and R. Jin, “Enabling Resilient Microgrid through Programmable Network,” IEEE Transactions on Smart Grid, published online July 2016, Vol. 8, No. 6, Nov. 2017, pp. 2826-2836, DOI: 10.1109/TSG.2016.2589903.
  28. D. Zhang, P. B. Luh, J. Fan and S. Gupta, “Chiller Plant Optimization for Primary-only and Primary-secondary Systems,” IEEE Transactions on Automation Science and Engineering, Vol. 15, No. 1, January 2018, pp. 341-355, DOI: 10.1109/TASE.2017.2751605.
  29. D. Zhang, P. B. Luh, J. Fan and S. Gupta, “Chiller Plant Operation Optimization with Minimum Up/Down Time Constraints,” IEEE Robotics and Automation Letters, Vol. 3, No. 1, January 2018, pp. 9-15, DOI: 10.1109/LRA.2017.2723467.
  30. A. Rong and P. B. Luh, “A Dynamic Regrouping Based Dynamic Programming Approach for Unit Commitment of the Transmission-constrained Multi-site Combined Heat and Power System,” IEEE Transactions on Power Systems, Vol. 33, No. 1, Jan. 2018, pp. 714-722, DOI: 10.1109/TPWRS.2017.2699484.
  31. Y. Li, P. Zhang, and P. B. Luh, “Formal Analysis of Networked Microgrids Dynamics,” IEEE Transactions on Power Systems, Vol. 33, No. 3, May 2018, pp. 3418-3427, DOI 10.1109/TPWRS.2017.2780804.
  32. Y. Yu and P. B. Luh, “Scalable Corrective Security-constrained Economic Dispatch Considering Conflicting Contingencies,” International Journal of Electrical Power and Energy Systems, Vol. 98, June 2018, pp. 269-278, DOI: 10.1016/j.ijepes.2017.12.011.
  33. Y. Yan, P. B. Luh and K. R. Pattipati, “Fault Diagnosis of Components and Sensors in HVAC Air Handling Systems with New Types of Faults,” IEEE Access, Vol. 6, No. 1, December 2018, pp. 21682-21696, published online May 2018, DOI: 10.1109/ACCESS.2018.2806373.
  34. A. Tucker, K. L. Marsh, T. Gifford, X. Lu, P. B. Luh and R. S. Astur, “The Effects of Information and Hazard on Evacuee Behavior in Virtual Reality,” Fire Safety Journal, Volume 99, July 2018, pp. 1-11, DOI: 10.1016/j.firesaf.2018.04.011.
  35. X. Sun, P. B. Luh, M. A. Bragin, Y. Chen, J. Wan and F. Wang, “A Novel Decomposition and Coordination Approach for Large Day-Ahead Unit Commitment with Combined Cycle Units,” IEEE Transactions on Power Systems, published online March 2018, DOI 10.1109/TPWRS.2018.2808272.
  36. 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 Transactions on Automation Science and Engineering, published online June 2018, DOI: 10.1109/TASE.2018.2835298.
  37. B. Yan, M. A. Bragin and P. B. Luh, “Novel Formulation and Resolution of Job-Shop Scheduling Problems,” IEEE Robotics and Automation Letters, published online June 2018, DOI: 10.1109/LRA.2018.2850056.

 

Conference Proceedings & Other Publications since 2015 (from a list of 320 conference papers):

  1. M. Di Somma, B. Yan, N. Bianco, P. B. Luh, G. Graditi, L. Mongibello, and V. Naso, “Multi-Objective Operational Optimization of a Distributed Energy System for a Large-Scale Utility Customer,” ASME-ATI-UIT 2015 Conference on Thermal Energy Systems: Production, Storage, Utilization and the Environment, May 2015, Napoli, Italy.
  2. B. Yan, M. Di Somma, N. Bianco, P. B. Luh, G. Graditi, L. Mongibello, and V. Naso, “Exergy-Based Operation Optimization of a Distributed Energy System through the Energy-Supply Chain,” ASME-ATI-UIT 2015 Conference on Thermal Energy Systems: Production, Storage, Utilization and the Environment, May 2015, Napoli, Italy.
  3. M. Di Somma, B. Yan, N. Bianco, P. B. Luh, G. Graditi, L. Mongibello, and V. Naso, “Energy Quality Management of a Distributed Energy System through Multi-Objective Optimization,” 5th International Conference on Clean Electrical Power, June 2015, Taormina, Italy.
  4. M. Di Somma, B. Yan, N. Bianco, P. B. Luh, G. Graditi, L. Mongibello, and V. Naso, “Influence of Energy Quality Management on CO2 Emissions in Operation Optimization of a Distributed Energy System,” 5th International Conference on Clean Electrical Power, June 2015, Taormina, Italy.
  5. 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 Power and Energy Society 2015 General Meeting, Denver, Colorado, July 2015.
  6. Y. Yu, P. B. Luh, E. Litvinov, T. Zheng, J. Zhao and F. Zhao, “Transmission Contingency-Constrained Unit Commitment with Uncertain Wind Generation via Interval Optimization,” Proceedings of the IEEE Power and Energy Society 2015 General Meeting, Denver, Colorado, July 2015.  In the Best Paper session.
  7. X. Sun, P. B. Luh, K. W. Cheung and W. Guan, “Probabilistic Forecasting of Dynamic Line Rating for Over-head Transmission Lines,” Proceedings of the IEEE Power and Energy Society 2015 General Meeting, Denver, Colorado, July 2015.
  8. Y. Yan, P. B. Luh, and K. R. Pattipati, “A Fault Diagnosis Method for HVAC Air Handling Units Considering Fault Propagation,” Proceedings of the 2015 IEEE Conference on Automation Science and Engineering, Gothenburg, Sweden, August 2015, pp. 961-966.  Finalist for the Best Student Paper.
  9. A. A. Farhan, K. R. Pattipati, B. Wang, and P. B. Luh, “Predicting Individual Thermal Comfort Using Machine Learning Algorithms,” Proceedings of the 2015 IEEE Conference on Automation Science and Engineering, Gothenburg, Sweden, August 2015, pp. 708-713.
  10. Y. Yan, P. B. Luh and K. R. Pattipati, “Chiller Plant Fault Diagnosis Considering Fault Propagation,” Proceedings of the 2015 IEEE International Conference on Complex Systems Engineering, Storrs, Connecticut, Nov. 2015.
  11. D. Zhang, P. B. Luh, J. Fan and S. Gupta, “A Decomposition and Coordination-Based Method for Chiller Plant Optimization,” Proceedings of the 2015 IEEE International Conference on Complex Systems Engineering, Storrs, Connecticut, Nov. 2015.
  12. P. K. Thota, A. P. Dani, P. B. Luh and S. Gupta, “Cooling Load Forecasting for Chiller Plants Using Similar Day Based Wavelet Neural Networks,” Proceedings of the 2015 IEEE International Conference on Complex Systems Engineering, Storrs, Connecticut, Nov. 2015.
  13. 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 Power and Energy Society 2016 General Meeting, Boston, Massachusetts, July 2016.
  14. Y. Yan, P. B. Luh and K. R. Pattipati, “Fault Diagnosis of HVAC: Air Handling Units and Variable Air Volume Boxes,” Proceedings of IEEE Conference on Automation Science and Engineering, Fort Worth, TX, August 2016.
  15. R. Ghimire, K. R. Pattipati and P. B. Luh, “Fault Diagnosis and Augmented Reality-based Troubleshooting of HVAC Systems,” IEEE AUTOTESTCON, September 2016, Anaheim, CA.
  16. M. Di Somma, B. Yan, N. Bianco, G. Graditi, P. B. Luh, L. Mongibello, and V. Naso, “Design Optimization of a Distributed Energy System through Cost and Exergy Assessments,” Proceedings of the 8th International Conference on Applied Energy, October 2016, Beijing, China.
  17. S. Gunn, P. B. Luh, X. Lu and B. Hotaling, “Optimizing Guidance for an Active Shooter Event,” Proceedings of the 2017 IEEE International Conference on Robotics and Automation, Singapore, May 2017.
  18. X. Sun, P. B. Luh, M. A. Bragin, Y. Chen, F. Wang, and J. Wan, “A Decomposition and Coordination Approach for Large-Scale Security Constrained Unit Commitment Problems with Combined Cycle Units,” Best Paper Session, Proceedings of the IEEE Power and Energy Society 2017 General Meeting, Chicago, IL, July 2017.
  19. M. A. Bragin and P. B. Luh, “Distributed and Asynchronous Unit Commitment and Economic Dispatch,” Proceedings of the IEEE Power and Energy Society 2017 General Meeting, Chicago, IL, July 2017.
  20. 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 Power and Energy Society 2017 General Meeting, Chicago, IL, July 2017.
  21. Y. Yan, P. B. Luh and K. R. Pattipati, “Fault Diagnosis of HVAC: Air Delivery and Terminal Systems,” Proceedings of 2017 IEEE Conference on Automation Science and Engineering, Xian, China, August 2017.
  22. B. Yan, M. Di Somma, P. B. Luh and G. Graditi, “Operation Optimization of Multiple Distributed Energy Systems in an Energy Community,” Proceedings of the 18th IEEE International Conference on Environment and Electrical Engineering, April 2018, Palermo, Italy.
  23. 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 Power and Energy Society 2018 General Meeting, Portland, OR, August 2018.
  24. 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 Power and Energy Society 2018 General Meeting, Portland, OR, August 2018.
  25. R. H. Chen, S. C. Chang and P. B. Luh, “Modeling of Decline Dynamics of Knowledge Sharing Networks (KSNets) – a Wikipedia Case,” Proceedings of the 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), Thessaloniki, Greece, April 2018.
  26. D. Zhang, P. B. Luh, J. Fan and S. Gupta, “Chiller Plant Operation Optimization with Input and Model Uncertainties,” Proceedings of 2018 IEEE Conference on Automation Science and Engineering, Munich, Germany, August 2018.

 

Active Research Projects:

  1. “Contingency-Constrained Unit Commitment with High Penetration of Intermittent Renewables,” National Science Foundation ECCS-1509666, $360,000, 8/1/15-7/31/19, KFS# 5624000 and 5624010.
  2. “Evacuating with Others Virtually,” National Science Foundation CMMI-1463520, $619,947, 9/1/15/-8/31/19, with Peter Luh as the PI and Hart Blanton as the Co-PI, KFS# 5625900 and KFS# 5625910.
  3. “US Ignite: Focus Area 1: SD2N: Software-Defined Urban Distribution Network for Smart Cities,” National Science Foundation ECCS-1647209, $600,000, 1/17/-12/19, with Peng Zhang as the PI and Peter Luh, Bing Wang and Song Han as the Co-PI, KFS# 5639250.
  4. “Academic Plan: Level 1: Software‑Defined Smart Grid,” UConn Provost Academic Plan, $300,000, 7/17/-6/20, with Peng Zhang as the PI and Song Han, Peter Luh, Emmanouil Anagnostou, Suresh Nair, and Jun Yan as the Co-PI, KFS 2806600.
  5. “Efficient Modeling of Generation-dependent Ramp Rates for Unit Commitment and Economic Dispatch, Phase II,” ISO-New England, with Bing Yan as the PI and Peter Luh as the Co-PI, $66,719, 8/17-8/18.
  1. “Reconfigurable Chiller Plants for Performance and Reliability,” United Technologies Corporation, $126,338, 1/18-12/18, with Shalabh Gupta as the PI, and Peter B. Luh as the Co-PI.
  2. “Efficient Network Constrained Unit Commitment: A Parallelized Surrogate Absolute-Value Lagrangian Relaxation + Branch-and-Cut Approach,” ABB, $85,058, 4/18-12/18, with Mikhail Bragin as the PI and P. B. Luh and Bing Yan as the Co-PI, KFS# 6205140.
  3. “Stochastic Sizing and Operation of Grid-Level Energy Storage Systems under Intermittent Renewable Generation and Increasing Load Forecasting Uncertainties,” Brookhaven National Laboratory, $300,000, 7/18-6/21, with Peter Luh as the PI, and Bing Yan and Mikhail Bragin as the Co-PI.
  4. “A Revolutionary Way to Tackle Challenging MILP Problems in Power Systems through Accelerated Convergence, Formulation Tightening and Asynchronous Optimization,” NSF, $359,998, 8/18-7/21, with Peter Luh as the PI, and Bing Yan and Mikhail Bragin as the Co-PI.
  5. “SCC: Empowering Smart and Connecticut Communities through Programmable Community Microgrids,” National Science Foundation ECCS-1831811, $800,000, 9/19/-8/21, with Peng Zhang as the PI and Baikun Li, Peter Luh and Amir Herzberg as the Co-PI.

 

Professional Activities (since 2015):

  1. The 27th Chinese Control and Decision Conference (CCDC), Distinguished Lecturer, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for Mixed-Integer Optimization Problems,” Qingdao, China, May 24, 2015;
  2. 2015 IEEE International Conference on Information and Automation, member of the Program Committee; Lijiang, Yunnan, China, August 2015;
  3. 2015 IEEE Conference on Automation Science and Engineering, Steering Committee and Member of the Award Committee, Gothenburg, Sweden, August 2015;
  4. International Conference on Complex Systems Engineering, Publicity Chair, Storrs, CT, November 2015;
  5. 13th International Workshop on Discrete Event Systems (WODES 2016), International Program Committee, Xi’an, China, May 2016;
  6. 11th IEEE Conference on Industrial Electronics and Applications, Member of the Award Committee and Plenary Speaker, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve?” Hefei, Anhui, China, June 7, 2016.
  7. 2016 World Congress on Intelligent Control and Automation, member of the International Program Committee, June 2016, Guilin, China;
  8. 2016 IEEE International Conference on Information and Automation, member of the Program Committee; Ningbo, China, July-August 2016;
  9. 2016 IEEE Conference on Automation Science and Engineering, member of the Steering Committee, Fort Worth, TX, August 2016;
  10. 2016 IEEE/PES Asia Pacific Power and Energy Engineering Conference (APPEEC 2016), member of the International Technical Committee; Xi’an, China, October 2016;
  11. 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), International Advisory Committee, Phuket, Thailand, Nov. 2016;
  12. 2017 IEEE International Conference on Robotics and Automation, Keynote Speaker, “Industry 4:0 – Automation and Robotics,” member of the Senior Program Committee, and member of the Best Automation Paper Award Committee, Singapore, May 2017;
  13. 12th IEEE Conference on Industrial Electronics and Applications, Member of the International Advisory Committee, Siem Reap, Cambodia, June 2017;
  14. 2017 IEEE International Conference on Information and Automation, member of the Program Committee; Macau SAR, China, July 2017;
  15. 2017 IEEE Conference on Automation Science and Engineering, member of the Steering Committee, member of the Best Paper Committee, Member of the Plenary Panel on Future of Automation, Xi’an, China, August 2017;
  16. Ph.D. Opponent, Department of Signals and Systems, Chalmers University of Technology, Dec. 5, 2017;
  17. 13th IEEE Conference on Industrial Electronics and Applications, Member of the International Advisory Committee, Wuhan, China, May/June 2018;
  18. IEEE International Conference on Mechatronics and Automation, Plenary Speaker, Changchun, China, August 2018;
  19. International Conference on Intelligent Robotics and Applications (ICIRA 2018), International Advisory Committee, Newcastle, Australia, August 2018;
  20. 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), International Advisory Committee, Singapore, Nov. 2018;
  21. 2018 International Automatic Control Conference (CACS 2018), International Advisory Committee, Taoyuan, Taiwan, Nov. 2018;
  22. 14th IEEE Conference on Industrial Electronics and Applications, Member of the International Advisory Committee, Xi’an, China, June 2019;

 

Listed in:

Listed in Who’s Who in Engineering;

Listed in Who’s Who in Science and Engineering;

Listed in Who’s Who in the East;

Listed in Who’s Who in American Education;

Listed in Who’s Who in America Science and Engineering;

Listed in Who’s Who in the World;

SIGMA XI, Member.

Invited Talks (since 2015)

  1. Dipartimento di Ingegneria Industriale, Università degli Studi Federico II, Napoli, Italy, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for MIP Problems in Power Systems,” January 13, 2015.
  2. Dipartimento di Ingegneria Industriale, Università degli Studi Federico II, Napoli, Italy, “Building Energy Management: Integrated Control of Heating, Cooling, Lighting, Shading and Ventilation Systems,” January 15, 2015.
  3. Department of Systems Engineering & Operations Research, George Mason University, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for Mixed-Integer Optimization Problems,” April 3, 2015.
  4. The 2015 Tsinghua-Leuven Bilateral Workshop on Game-Theoretic based Optimization Technique in Large Scale Networked Systems with Applications to Smart Grids, Tsinghua University, Department of Automation, Beijing, China, “Exergy-Based Operation Optimization of a Distributed Energy System through the Energy-Supply Chain,” May 21, 2015.
  5. Center of Automation, Northeastern University, Shenyang, Liaoning, China, “Computational Methods for Optimization,” June 1 and 2, 2015.
  6. North China Electric Power University, Department of Control and Computer Engineering, Beijing, China, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for Mixed-Integer Optimization Problems,” June 3, 2015.
  7. Beijing University of Civil Engineering and Architecture, Department of Automation, Beijing, China, “Exergy-Based Operation Optimization of a Distributed Energy System through the Energy-Supply Chain,” June 3, 2015.
  8. Tsinghua University, Department of Automation, Beijing, China, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for Mixed-Integer Optimization Problems,” June 4, 2015.
  9. Workshop on Energy Management for Large-scale Smart Systems, IEEE Conference on Automation Science and Engineering, Gothenburg, Sweden, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for Mixed-Integer Optimization Problems,” August 24, 2015.
  10. Workshop on Smart Buildings – Modeling, Simulation, Optimization, and Testbeds, IEEE Conference on Automation Science and Engineering, Gothenburg, Sweden, “Exergy-Based Operation Optimization of a Distributed Energy System through the Energy-Supply Chain,” August 24, 2015.
  11. Royal Institute of Technology, Optimization and Systems Theory, Stockholm, Sweden, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for Mixed-Integer Optimization Problems,” August 31, 2015.
  12. Tsz-Shiou Senior High School, New Taipei City, Taiwan, “Our Vision based on Energy Efficient Buildings,” September 9, 2015.
  13. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, “Exergy-Based Operation Optimization of a Distributed Energy System through the Energy-Supply Chain,” Sept. 23, 2015.
  14. Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan, “A Synergistic Combination of Surrogate Lagrangian Relaxation and Branch-and-Cut for Mixed-Integer Optimization Problems,” October 7, 2015.
  15. Department of Mechanical Engineering, National ChungCheng University, Jiayi, Taiwan, “Exergy-Based Operation Optimization of a Distributed Energy System through the Energy-Supply Chain,” October 14, 2015.
  16. Institute for Information Industry, Taipei, Taiwan, “Productivity Optimization,” Nov. 24, 2015.
  17. Department of Mathematical Sciences, National Chengchi University, Taipei, Taiwan, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve?” December 7, 2015.
  18. National Taiwan University Center for Teaching and Learning Development, Taipei, Taiwan, “Special Interview with Professor Peter Luh,” a video recorded interview, Dec. 9, 2015.
  19. Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan, “Productivity Optimization,” Dec. 10, 2015.
  20. Department of Engineering Science and Ocean Engineering, National Taiwan University, Taipei, Taiwan, “Grid Integration of Wind Generation Considering Remote Wind Farms: Hybrid Markovian and Interval Unit Commitment,” Dec. 18, 2015.
  21. College of Information Science and Engineering, Northeastern University, Shenyang, China, “Are practical integer or mixed-integer optimization problems hopeless to solve?” April 29, 2016.
  22. Beijing Jiaotong University, The Hanergy School of Renewable Energy, Beijing, China, “Grid Integration of Intermittent Wind Generation: Hybrid Markovian and Interval Unit Commitment,” May 18, 2016.
  23. Tsinghua University, Department of Automation, Beijing, China, “From Energy-Smart Buildings to Our Ambition,” May 19, 2016.
  24. Department of Industrial and Management Engineering, Peking University, Beijing, China, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve?” May 20, 2016.
  25. Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University, Beijing, China, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve?” May 23, 2016.
  26. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, “Transmission Contingency-Constrained Unit Commitment with High Penetration of Renewables via Interval Optimization,” July 5, 2016.
  27. Department of Mechanical Engineering, McGill University, Montreal, Canada, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve?” December 13, 2016.
  28. Connecticut IEEE-Power and Energy Society Seminar, “Electricity Auctions for Deregulated Electricity Markets,” March 29, 2017.
  29. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve” March 24, 2017.
  30. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, “Industry 4.0 – Automation and Robotics,” May 22, 2017.
  31. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve?” May 22, 2017.
  32. 2017 IEEE International Conference on Robotics and Automation Keynote speech, “Industry 4.0 – Automation and Robotics,” May 31, 2017.
  33. First International Symposium on Autonomous Systems, South China University of Technology, Guangzhou, Guangdong, “An Effective Distributed and Asynchronous Coordination Method,” June 6, 2017.
  34. College of Information Science and Engineering, Northeastern University, Shenyang, China, “Industry 4.0 – Automation and Robotics,” June 10, 2017.
  35. Shenyang University of Technology, “Are Practical Integer or Mixed-Integer Optimization Problems Hopeless to Solve” June 14, 2017.
  36. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, “A Novel Decomposition and Coordination Approach for Large Day-Ahead Unit Commitment with Combined Cycle Units,” June 28, 2017.
  37. Department of System Operation, Taiwan Power Company, Taipei, Taiwan, “A Novel Decomposition and Coordination Approach for Large Day-Ahead Unit Commitment with Combined Cycle Units,” June 29, 2017.
  38. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ “Are Practical Integer or Mixed-Integer Linear Optimization Problems Hopeless to Solve?” October 20, 2017.
  39. Distinguished Lecture, Department of Electrical and Computer Engineering, University of California Riverside, Riverside, CA, “A Novel Decomposition and Coordination Approach for Large Day-Ahead Unit Commitment with Combined Cycle Units,” November 6, 2017.
  40. Department of Signals and Systems, Chalmers University of Technology, Chalmers, Sweden, “Are Practical Integer or Mixed-Integer Linear Optimization Problems Hopeless to Solve?” December 4, 2017.
  41. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, “Fundamental and Complete Resolution of Mixed-Binary Linear Programming Problems” May 11, 2018.
  42. Department of Control and Computer Engineering, North China Electric Power University, Beijing, China, “Fundamental and Complete Resolution of Mixed-Binary Linear Programming Problems,” May 14, 2018.
  43. 2018 Workshop on Emerging Frontiers in Systems and Control, Tsinghua University, Beijing, China, “Fundamental and Complete Resolution of Mixed-Binary Linear Programming Problems,” May 14, 2018.
  44. Department of Industrial and Management Engineering, Peking University, Beijing, China, “Fundamental and Complete Resolution of Mixed-Binary Linear Programming Problems,” May 18, 2018.
  45. The 2nd International Symposium on Autonomous Systems, Chongqing, China, “Near-Optimal Coordination of Autonomous Systems,” May 20, 2018.
  46. College of Information Science and Engineering, Northeastern University, Shenyang, China, “Fundamental and Complete Resolution of Mixed-Binary Linear Programming Problems,” June 1, 2018.
  47. 2018 INFORMS International Conference, Taipei, Taiwan, “Fundamental and Complete Resolution of Mixed-Binary Linear Programming Problems,” June 18, 2018.
  48. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, “Fundamental and Complete Resolution of Mixed-Binary Linear Programming Problems,” June 27, 2018.
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MSE M.S. Thesis Defense: Thomas Reid
Dec 20 2018
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MSE PhD Dissertation Defense - Daisy Ramos
Dec 21 2018
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