{"id":14,"date":"2017-07-07T20:21:07","date_gmt":"2017-07-07T20:21:07","guid":{"rendered":"http:\/\/utsaengineer.wpengine.com\/faculty-page-example\/?page_id=14"},"modified":"2026-04-10T17:19:12","modified_gmt":"2026-04-10T22:19:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/ceid.utsa.edu\/ngatsis\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Book Chapters<\/h2>\n
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    E. Dall\u2019Anese and N. Gatsis, \u201cDistributed optimization for power and energy systems,\u201d in Data Analytics for Power Systems<\/em>, A. Tajer, S. M. Perlaza, and H. V. Poor, Eds. Cambridge, UK: Cambridge University Press, in press.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/li>\n

  2. A. G. Marques, N. Gatsis, and G. B. Giannakis, \u201cOptimal cross-layer design of wireless fading multi-hop networks,\u201d in\u00a0Cross Layer Designs in WLAN Systems<\/i>, N. Zorba, C. Skianis, and C. Verikoukis, Eds. Leicester, UK: Troubador Publishing, 2011, vol. 1, ch. 5, pp. 133\u2013175.<\/li>\n<\/ol>\n

    Journal Papers (Under Review)<\/h2>\n
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    1. V. A. Aryasomyajula, S. Ahmed, M. K. Singh, and N. Gatsis, “Decoupled ODE Representation <\/span>for Time-Domain Analysis of Distribution Systems,” submitted.
      \n<\/span><\/li>\n
    2. V. A. Aryasomyajula, R. S. Gonzalez, K. S. Ayyagari, S. Ahmed, M. Alamaniotis, and N. Gatsis, “Short Circuit Analysis <\/span>for Dynamic Reactive Current Controlled <\/span>Inverter-Based Distribution Systems,” submitted.
      \n<\/span><\/li>\n
    3. A. M. Reyes, S. Ahmed, N. Gatsis, and M. Alamaniotis, “Explainable AI Fault Detection Method in Inverter-Based Distribution Systems Integrating Neural Networks and Decision Trees,” submitted.<\/li>\n
    4. K. S. Ayyagari, S. Wang, A. Taha, M. Giacomoni, and N. Gatsis, “Successive Linear Approximations for Optimal Decision Making in Interdependent Electric and Water Distribution Networks,” submitted.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

      Journal Papers<\/h2>\n
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      1. C. Lima, J. Palaio, and N. Gatsis, “Using Scientific Knowledge for Designing Electric Vehicle Prototypes,” Science and Children<\/em>, in press.<\/li>\n
      2. R. S. Gonzalez, K. S. Ayyagari, A. Almoola, V. A. Aryasomyajula, N. Gatsis, M. Alamaniotis, and S. Ahmed, “Optimal Protection Coordination of Dual-Setting Relays With Inverse-Time and Definite-Time Characteristics,” IEEE Open Access Journal of Power and Energy<\/em>, vol. 12, pp. 882\u2013894, 2025.<\/li>\n
      3. C. Lima, J. Solis, and N. Gatsis, “Multilingual Elementary Students Development and Application of Electric Circuits Models to Design Electric Vehicles,” Journal of Science Education and Technology<\/em>, 2025.<\/li>\n
      4. A. I. Arvanitidis, P. Talbot, N. Gatsis, and M.\u00a0 Alamaniotis, “Comprehensive assessment of deep reinforcement learning approaches for economic dispatch in nuclear-driven microgrids,” Computers and Electrical Engineering<\/em>, vol. 126, 110528, Aug. 2025.<\/li>\n
      5. C. Lima and N. Gatsis, “Designing Electric Cars: A University-based Cross-disciplinary Collaboration with Elementary Schools,” Connected Science Learning<\/em>, vol. 6, no. 6, pp. 242\u2013249, July 2024.<\/li>\n
      6. J. Lee, E. Schmidt, N. Gatsis and D. Akopian, “Detection and Mitigation of Spoofing Attacks Against Time Synchronization and Positioning,” IEEE Access<\/em>, vol. 11, pp. 138986-139003, 2023.<\/li>\n
      7. R. S. Gonzalez, V. A. Aryasomyajula, K. S. Ayyagari, N. Gatsis, M. Alamaniotis, and S. Ahmed, “Modeling and Studying the Impact of Dynamic Reactive Current Limiting in Grid-Following Inverters for Distribution Network Protection,” Electric Power Systems Research<\/em>, Nov. 2023.<\/li>\n
      8. K. S. Ayyagari, R. Gonzalez, Y. Jin, M. Alamaniotis, S. Ahmed, and N. Gatsis, “Learning Reactive Power Control Polices in Distribution Networks Using Conditional Value-at-Risk and Artificial Neural Networks,” Journal of Modern Power Systems and Clean Energy<\/em>, vol. 11, no. 1, pp. 201-211, Jan. 2023.<\/li>\n
      9. K. S. Ayyagari and N. Gatsis, “Optimal pump scheduling in multi-phase distribution networks using Benders decomposition,” Electric Power Systems Research<\/em>, Volume 212, 108584, Nov. 2022.<\/li>\n
      10. S. A. Nugroho, A. F. Taha, N. Gatsis, and J. Zhao, “Observers for Differential Algebraic Equation Models of Power Networks: Jointly Estimating Dynamic and Algebraic States,” IEEE Transactions on Control of Network Systems<\/em>, vol. 9, no. 3, pp. 1531\u20131543, Sept. 2022.<\/li>\n
      11. S. Wang, A. F. Taha, N. Gatsis, L. Sela, and M. H. Giacomoni, “Probabilistic State Estimation in Water Networks,” IEEE Transactions on Control Systems Technology, <\/em>vol. 30, no. 2, pp. 507 – 519, Mar. 2022.
        \n<\/em><\/li>\n
      12. A. F. Taha, S.Wang, Y Guo, T. H. Summers, N. Gatsis, M. H. Giacomoni, and Ahmed A. Abokifa, \u201cRevisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics,\u201d Journal of Water Resources Planning and Management, vol. 147, no. 7, 04021040, July 2021.<\/li>\n
      13. H. Fontenot, K. S. Ayyagari, B. Dong, N. Gatsis, and A. Taha, “Buildings-to-Distribution-Network Integration for Coordinated Voltage Regulation and Building Energy Management via Distributed Resource Flexibility,” Sustainable Cities and Society, vol. 69, 102832, June 2021.<\/li>\n
      14. E. Schmidt, J. Lee, N. Gatsis, and D. Akopian, “Rejection of Smooth GPS Time Synchronization Attacks via Sparse Techniques,” IEEE Sensors Journal<\/em>, vol. 21, no. 1, pp. 776\u2013789, Jan. 2021.<\/li>\n
      15. E. Schmidt, N. Gatsis, and D. Akopian, “A GPS high-resolution authentication technique based on LASSO,” IEEE Transactions on Aerospace and Electronic Systems, <\/em>vol. 56, no. 6, pp. 4224\u20134237, Dec. 2020.<\/li>\n
      16. S. Wang, A. F. Taha, N. Gatsis, and M. Giacomoni, “Receding Horizon Control for Drinking Water Networks: The Case for Geometric Programming,” IEEE Trans. Control Netw. Systems<\/em>, vol. 5, no. 3, pp. 1151\u20131163, Sept. 2020. Available on IEEEXplore<\/a> and arXiv<\/a>.<\/li>\n
      17. P. Risbud, N. Gatsis, and A. Taha, Multi-Period Power System State Estimation with PMUs under GPS Spoofing Attacks, Journal of Modern Power Systems and Clean Energy, <\/em>vol. 8, no. 4, pp. 597\u2013606, July 2020. Available on IEEEXplore<\/a>.<\/li>\n
      18. S. Wang, A. F. Taha, L. Sela, M. H. Giacomoni, and N. Gatsis, “A New Derivative-Free Linear Approximation for Solving the Water Flow Problem with Convergence Guarantees,” Water Resources Research<\/em>, vol. 56, 2020. Available on the AGU Library<\/a>.<\/li>\n
      19. M. Jalali, V. Kekatos, N. Gatsis, and D. Deka, “Designing Reactive Power Control Rules for Smart Inverters Using Support Vector Machines,” IEEE Trans. Smart Grid<\/em>, vol. 11, no. 2, pp. 1759\u20131770, Mar. 2020. Available on IEEEXplore<\/a> and arXiv<\/a>.<\/li>\n
      20. J. Lee, A. F. Taha, N. Gatsis, and D. Akopian, “Tuning-Free, Low Memory Robust Estimator to Mitigate GPS Spoofing Attacks,” IEEE Control Systems Letters<\/em>, vol. 4, no. 1, pp. 145\u2013150, Jan. 2020. Available on arXiv<\/a>.<\/li>\n
      21. M. Bazrafshan, N. Gatsis, and H. Zhu, “Optimal Power Flow with Step-Voltage Regulators in Multi-Phase Distribution Networks,” IEEE Trans. Power Systems<\/em>, vol. 34, no. 6, pp. 4228\u20134239,\u00a0 Nov. 2019. Available on IEEEXplore<\/a> and arXiv<\/a>.<\/li>\n
      22. A. F. Taha, M. Bazrafshan, S. Nugroho, N. Gatsis, and J. Qi, “Robust Control for Renewable-Integrated Power Networks Considering Input Bound Constraints and Worst-Case Uncertainty Measure,” IEEE Trans. Control Netw. Systems, <\/em>vol. 6, no. 3, pp. 1210\u20131222, Sept. 2019. (Special Issue on Special Issue on Analysis, Control, and Optimization of Energy Networks.)<\/em> Available on IEEEXplore<\/a> and arXiv<\/a>.<\/li>\n
      23. S. Nugroho, A. Taha, N. Gatsis, T. Summers, and R. Krishnan, “Algorithms for Joint Sensor and Control Nodes Selection in Dynamic Networks,” Automatica<\/em>, vol. 106, pp. 124\u2013133, Aug. 2019. Available on arXiv<\/a>.<\/li>\n
      24. P. Risbud, N. Gatsis, and A. F. Taha, \u201cVulnerability Analysis of Smart Grids to GPS Spoofing,\u201d\u00a0IEEE Trans. Smart Grid, <\/i>vol. 10, no. 4, pp. 3535\u20133548, July 2019.\u00a0Available on IEEEXplore<\/a> and arXiv<\/a>.<\/li>\n
      25. M. Alamaniotis and N. Gatsis, “Evolutionary Multi-Objective Cost and Privacy Driven Load Morphing in Smart Electricity Grid Partition,” Energies<\/em>, vol. 12, no. 13, June 2019.<\/li>\n
      26. A. F. Taha, N. Gatsis, T. H. Summers, and S. A. Nugroho, “Time-Varying Sensor and Actuator Selection for Uncertain Cyber Physical Systems,” IEEE Trans. Control Netw. Systems,<\/em> vol. 6, no. 2, pp. 750\u2013762, June 2019. Available in IEEEXplore<\/a>. Extended version available on arXiv<\/a>.<\/li>\n
      27. M. Bazrafshan, N. Gatsis, A. F. Taha, and J. A. Taylor, \u201cCoupling Load-Following Control with OPF,\u201d\u00a0IEEE Trans. Smart Grid<\/i>, vol. 10, no. 3, pp. 2495\u20132506, May 2019. Available on IEEEXplore<\/a> and\u00a0arXiv<\/a>.<\/li>\n
      28. M. Bazrafshan, N. Gatsis, and E. Dall’Anese, “Placement and Sizing of Inverter-Based Renewable\u00a0Systems in Multi-Phase Distribution Networks,” IEEE Trans. Power Systems<\/em>, vol. 34, no. 2, pp. 918\u2013930, Mar. 2019. Available on IEEEXplore<\/a>.<\/li>\n
      29. A. F. Taha, N. Gatsis, B. Dong, A. Pipri, and Z. Li, \u201cBuildings-to-Grid Integration Framework,\u201d\u00a0IEEE Trans. Smart Grid,<\/i>\u00a0vol. 10, no. 2, pp. 1237\u20131249, Mar. 2019. Available on IEEEXplore<\/a> and\u00a0arXiv<\/a>.<\/li>\n
      30. M. Bazrafshan and L. Yalamanchili, and N. Gatsis and J. Gomez, “Stochastic Planning of Distributed PV Generation,” Energies<\/em>, vol. 12, no. 3, Feb. 2019 (invited feature paper in special issue 10 Years of Energies<\/em>).<\/li>\n
      31. R. Taormina, S. Galelli, N. O. Tippenhauer, E. Salomons, A. Ostfeld, D. G. Eliades, M. Aghashahi, R. Sundararajan, M. Pourahmadi, K. Banks, B. Brentan, E. Campbell, G. Lima, D. Manzi, D. Ayala-Cabrera, M. Herrera, I. Montalvo, J. Izquierdo, E. Luvizotto Jr., S. E. Chandy, A. Rasekh, Z. A. Barker, B. Campbell, E. Shafiee, M. Giacomoni, N. Gatsis, A. Taha, A. A. Abokifa, K. Haddad, C. S. Lo, P. Biswas, F. K. Pasha, B. Kc, S. L. Somasundaram, M. Housh, and Z. Ohar,\u00a0“The Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks,”\u00a0Journal of Water Resources Planning and Management,<\/em> vol. 144, no. 8, pp.\u00a01\u201311, Aug. 2018. Manuscript describing the\u00a0BATtle of the Attack Detection ALgorithms (BATADAL)<\/a>\u00a0competition and the participating teams’ results, where we received the\u00a0third place.<\/strong><\/li>\n
      32. A. Khalajmehrabadi, N. Gatsis, D. Akopian, and A. F. Taha, \u201cReal-Time\u00a0 Rejection and Mitigation\u00a0 of Time Synchronization Attacks\u00a0 on the Global Positioning System,\u201d\u00a0IEEE Trans. Industrial Electronics<\/i>, vol. 65, no. 8, pp. 6425\u20136435, Aug. 2018. Available on IEEEXplore<\/a> and arXiv<\/a>.<\/li>\n
      33. B. Dong, Z. Li, A. Taha, and N. Gatsis, “Occupancy-based Buildings-to-grid Integration Framework for Smart and Connected Communities,” Applied Energy,<\/em> vol. 219,\u00a0\u00a0pp. 123\u2013137, June 2018 . Available on ScienceDirect<\/a>.<\/li>\n
      34. M. Alamaniotis, N. Gatsis, and L. H. Tsoukalas, \u201cVirtual Budget: Integration of Electricity Load and Price Anticipation for Load Morphing in Price-Directed Energy Utilization,\u201d\u00a0Electric Power Systems Research,<\/i>\u00a0vol. 158, pp. 284\u2013296, May 2018. Available on ScienceDirect<\/a>.<\/li>\n
      35. M. Bazrafshan and N. Gatsis, \u201cComprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,\u201d\u00a0IEEE Trans. Power Systems<\/i>, vol. 33<\/span>, no. 2, pp.\u00a02015\u20132029,\u00a0<\/span><\/span>Mar. 2018<\/span>. Available on IEEEXplore<\/a> and\u00a0<\/span>arXiv<\/a>.<\/span><\/li>\n
      36. M. Bazrafshan and N. Gatsis, \u201cConvergence of the Z-Bus Method for Three-Phase Distribution Load-Flow with ZIP Loads,\u201d\u00a0IEEE Trans. Power Systems<\/i>, vol. 33, no. 1, pp. 153\u2013165, Jan 2018<\/span>. Available on IEEEXplore<\/a> and\u00a0arXiv<\/a>.<\/li>\n
      37. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, \u201cModern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges,\u201d\u00a0IEEE Communications Surveys and Tutorials<\/i>, vol. 19, no. 3, pp. 1974\u20132002, third quarter 2017<\/span>. Available on\u00a0arXiv<\/a>.<\/li>\n
      38. A. Khalajmehrabadi, N. Gatsis, D. Pack, and D. Akopian, \u201cA Joint Indoor WLAN Localization and Outlier Detection Scheme Using LASSO and Elastic-Net Optimization Techniques,\u201d\u00a0IEEE Trans. Mobile Computing<\/i>, vol. 16, no. 8 pp. 2079\u20132092, Aug. 2017. Available on\u00a0arXiv<\/a>.<\/li>\n
      39. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, \u201cStructured Group Sparsity: A Novel Indoor WLAN Localization, Outlier Detection, and Radio Map Interpolation Scheme,\u201d\u00a0IEEE Trans. Vehicular Technology<\/i>, vol. 66, no. 7, pp. 6498\u20136510, July 2017<\/span>. Available on\u00a0arXiv<\/a>.<\/li>\n
      40. M. Bazrafshan and N. Gatsis, \u201cDecentralized Stochastic Optimal Power Flow in Radial Networks with Distributed Generation,\u201d\u00a0IEEE Trans. Smart Grid<\/i>, vol. 8, no. 2, pp. 787\u2013801, Mar. 2017. Available on\u00a0arXiv<\/a>.<\/li>\n
      41. N. Gatsis and G. B. Giannakis,\u201cDecomposition algorithms for market clearing with large-scale demand response,\u201d\u00a0IEEE Trans. Smart Grid<\/i>, vol. 4, no. 4, pp. 1976\u20131987, Dec. 2013.<\/li>\n
      42. Y. Zhang, N. Gatsis, and G. B. Giannakis, \u201cRobust energy management for microgrids with high-penetration renewables,\u201d\u00a0IEEE Trans. Sustainable Energy<\/i>, vol. 4, no. 4, pp. 944\u2013953, Oct. 2013. Extended version available on\u00a0arXiv<\/a>.<\/li>\n
      43. G. B. Giannakis, V. Kekatos, N. Gatsis, S.-J. Kim, H. Zhu, and B. F. Wollenberg, \u201cMonitoring and optimization for power grids: A signal processing perspective,\u201d\u00a0IEEE Signal Processing Magazine<\/i>, vol. 30, no. 5, pp. 107\u2013128, Sept. 2013.\u00a0Featured in the\u00a0IEEE Communications Society Best Readings on Smart Grid Communications<\/a>.<\/em><\/li>\n
      44. N. Gatsis and G. B. Giannakis, \u201cResidential load control: Distributed scheduling and convergence with lost AMI messages,\u201d\u00a0IEEE Trans. Smart Grid<\/i>, vol. 3, no. 2, pp. 770\u2013786, June 2012.<\/li>\n
      45. K. Rajawat, N. Gatsis, S.-J. Kim, and G. B. Giannakis, \u201cCross-layer design of coded multicast for wireless random access networks,\u201d\u00a0IEEE J. Selected Areas in Communications<\/i>, vol. 29, no. 10, pp. 1970\u20131980, Dec. 2011.<\/li>\n
      46. K. Rajawat, N. Gatsis, and G. B. Giannakis, \u201cCross-layers designs in coded wireless fading networks with multicast,\u201d\u00a0IEEE\/ACM Trans. Networking<\/i>, vol. 19, no. 5, pp. 1276\u20131289, Oct. 2011.<\/li>\n
      47. N. Gatsis and G. B. Giannakis, \u201cPower control with imperfect exchanges and applications to spectrum sharing,\u201d\u00a0IEEE Trans. Signal Processing<\/i>, vol. 59, no. 7, pp. 3410\u20133423, July 2011.<\/li>\n
      48. N. Gatsis, A. Ribeiro, and G. B. Giannakis, \u201cA class of convergent algorithms for resource allocation in wireless fading networks,\u201d\u00a0IEEE Trans. Wireless Communications<\/i>, vol. 9, no. 5, pp. 1808\u20131823, May 2010.<\/li>\n
      49. N. Gatsis, A. G. Marques, and G. B. Giannakis, \u201cPower control for cooperative dynamic spectrum access networks with diverse QoS constraints,\u201d\u00a0IEEE Trans. Communications<\/i>, vol. 58, no. 3, pp. 933\u2013944, Mar. 2010.<\/li>\n<\/ol>\n

        Conference Papers<\/h2>\n
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        1. C. Aghadinuno, S. Ahmed, M. Alamaniotis, B. Wang, and N. Gatsis, “Investigation of AI Data Center Load Impact on Power System Frequency Using Real-World Datasets,” in Proceedings of the 18th IEEE Green Technologies Conference (GreenTech)<\/em>, Boulder, CO, Mar. 2026, pp. 1–6.<\/li>\n
        2. M. Torkornoo, S. Ahmed, N. Gatsis, and M. Alamaniotis, “Ensemble of GPR Models for Very-Short-Term Forecasting of AI-Oriented Data Center Load Demand,” in Proceedings of the 14th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2026)<\/em>, Chania, Greece, Feb. 2026, pp. 1-12.<\/li>\n
        3. M. Torkornoo, S. Ahmed, N. Gatsis, and M. Alamaniotis, “Very-Short-Term Load Forecasting for AI-Data Centers Using Gaussian Process Regression,” in Proceedings of the IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, Feb. 2026, pp. 1–6.<\/li>\n
        4. M. Loupa, S. Ahmed, M. Alamaniotis and N. Gatsis, “A Stochastic Programming Model for Depot Charging Capacity Assessment of Electric Commercial Fleets Considering Operational Variabilities,” in Proceedings of the IEEE\/AIAA Transportation Electrification Conference (ITEC) & Electric Aircraft Technologies Symposium<\/em>, Anaheim, California, June 2025, pp. 1–6.<\/li>\n
        5. A. Almoola, S. Ahmed and N. Gatsis, “Optimal Protection Coordination for Mitigating Sympathetic Tripping in DER-Integrated Power Systems,” in Proceedings of the IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, Feb. 2025, pp. 1–6.<\/li>\n
        6. M. Loupa, M. Bendle, S. Ahmed, M. Alamaniotis and N. Gatsis, “Assessing the Impacts of Depot Charging for Medium- and Heavy-Duty Electrified Fleets on the Distribution Grid,” in Proceedings of the IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, Feb. 2025, pp. 1–6.<\/li>\n
        7. L. Barba, S. Ahmed, M. Alamaniotis and N. Gatsis, “Dynamic Modeling and Optimization of Long-Haul EV Charging Networks,” in Proceedings of the IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, Feb. 2025, pp. 1–6.<\/li>\n
        8. L. Barba, S. Ahmed, M. Alamaniotis and N. Gatsis, “Optimizing Charging Control for Medium and Heavy-Duty Electric Vehicles Using Deep Reinforcement Learning,” in Proceedings of the IEEE Texas Power and Energy Conference (TPEC<\/em>), College Station, TX, Feb. 2025, pp. 1–6.<\/li>\n
        9. S. A. Chengu, N. Gatsis, M. Alamaniotis and S. Ahmed, “Improved Grid-Connected Inverter Control for Enhanced Protection in Distribution Systems with High Penetration of Inverter-Based Resources,” in Proceedings of the IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, Feb. 2025, pp. 1–6.<\/li>\n
        10. A. Chengu, N. Gatsis, M. Alamaniotis and S. Ahmed, “Hardware-in-the-Loop Testing of the Impact of Grid-Following Inverters Control on Momentary Cessation,” in Proc. IEEE Energy Conversion Conference and Expo (ECCE)<\/em>, Phoenix, AZ, Oct. 2024.<\/li>\n
        11. D. A. Yu, C. Lima, N. Gatsis, and M. Sanabia, “Development of a Battery Powered Vehicle Model for Integration into Elementary School Science Curricula,” in Proc. ASEE Gulf-Southwest Conference<\/em>, Canyon, TX, Mar. 2024.<\/li>\n
        12. S. A. Chengu, N. Gatsis, M. Alamaniotis, and S. Ahmed, “A Novel Fault Ride-Through Scheme for Grid-Forming Inverters Under Symmetrical and Asymmetrical Faults in Distribution Systems,” in Proc. IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, USA, 2024, pp. 1\u20136.<\/li>\n
        13. A. M. Reyes, A. Chengu, N. Gatsis, S. Ahmed and M. Alamaniotis, “Model Explainable AI Method for Fault Detection in Inverter-Based Distribution Systems,” in Proc. IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, USA, 2024, pp. 1\u20136.<\/li>\n
        14. K. S. Ayyagari, S. A. Abraham, Y. Yao, S. Ghosh, F. Flores-Espino, A. Nagarajan, and N. Gatsis, “Assessing the Optimality of LinDist3Flow for Optimal Tap Selection of Step Voltage Regulators in Unbalanced Distribution Networks,\u201d in Proc. IEEE 61st Conference on Decision and Control<\/em>, Cancun, Mexico, Dec. 2022, pp. 3116\u20133122.<\/li>\n
        15. V. A. Aryasomyajula, N. Gatsis, and A. F. Taha, \u201cPower System Dynamic State Based on Discretized Nonlinear Differential Algebraic Equation Models,\u201d in Proc. North American Power Symposium<\/em>, Salt Lake City, UT, Oct. 2022, pp. 1\u20136.<\/li>\n
        16. M. M. Sani, P. Risbud, A. V. Aryasomyajula, and N. Gatsis, \u201cEffects of Pseudo-Measurements on GPS Spoofed Power System State Estimation,\u201d in Proc. IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, Feb. 2022, pp. 1\u20136.<\/li>\n
        17. J. Lee, E. Schmidt, N. Gatsis, and D. Akopian, \u201cAnti-Spoofing Technique Against GPS Time and Position Attacks Based on Sparse Signal Processing,\u201d in Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+)<\/em>, St. Louis, MO, Sept. 2021, pp. 3581\u20133590.<\/li>\n
        18. S. Nugroho, A. Taha, N. Gatsis, and J. Zhao, “On the Simultaneous Estimation of Dynamic and Algebraic States in Power Networks via State Observer,” in Proc. 5th IEEE Conference on Control Technology and Applications (CCTA)<\/em>, San Diego, Aug. 2021, pp. 309\u2013 314.<\/li>\n
        19. K. S. Ayyagari, S. Wang, N. Gatsis, and A. Taha, \u201cEnergy-Efficient Optimal Water Flow Considering Pump Efficiency,\u201d in Proc. IEEE PowerTech Conference<\/em>, Madrid, Spain, June-July 2021 , pp. 1\u20136.<\/li>\n
        20. K. S. Ayyagari, S. Wang, N. Gatsis, A. F. Taha, and M. Giacomoni, \u201cCo-Optimization of Interdependent Water and Power Distribution Networks,\u201d in Proc. IEEE Conference on Innovative Smart Grid Technologies<\/em>, Feb. 2021, pp. 1\u20135.<\/li>\n
        21. H. C. Fontenot, K. S. Ayyagari, B. Dong, N. Gatsis, and A. Taha, \u201cBuildings-to-Distribution Network Integration to Enable Voltage Regulation Considering Renewable Energy Resources,\u201d in Proc. Building Performance Analysis Conference and SimBuild<\/em>, Sept.\u2013Oct. 2020.\u00a0 pp. 44\u201352.<\/li>\n
        22. E. Schmidt, N. Gatsis, and D. Akopian, \u201cHigh-resolution correlator based detection of GPS spoofing attacks using the LASSO,\u201d in Proc. IEEE\/ION Position Location and Navigation Symposium<\/em>, Portland, OR, Apr. 2020, pp. 1196\u20131201.<\/li>\n
        23. S. Wang, A. Taha, L. Sela, N. Gatsis, and M. Giacomoni, “State Estimation in Water Distribution Networks through a New Successive Linear Approximation,” in Proc. 58th IEEE Conference on Decision and Control<\/em>, Nice, France, Dec. 2019. Available on arXiv<\/a>.<\/li>\n
        24. M. Bazrafshan, H. Zhu, A. Khodaei,\u00a0 and N. Gatsis, “Online Demand-Response of Voltage-Dependent Loads for Corrective Grid De-Congestion,” in Proc. 10th IEEE Int. Conf. on Communications, Control, and Computing Technologies for Smart Grids<\/em>, Beijing, China, Oct. 2019.<\/li>\n
        25. M. Bazrafshan, H. Zhu,\u00a0 and N. Gatsis, “Real-Time Voltage Stability Enhancement via Demand Response,” in Proc. 51st North American Power Symposium<\/em>, Wichita, KS, Oct. 2019, pp. 1\u20136.<\/li>\n
        26. K. S. Ayyagari, R. Gonzalez, Y. Jin, M. Alamaniotis, S. Ahmed and N. Gatsis, “Artificial Neural Network-Based Adaptive Voltage Regulation in Distribution Systems using Data-Driven Stochastic Optimization,” in Proc. 11th IEEE Energy Conversion Congress and Exposition<\/em>, Baltimore, MD, Sept.\u2013Oct. 2019, pp. 5840\u20135847.<\/li>\n
        27. S. Wang, A. F. Taha, N. Gatsis, and M. Giacomoni, “Geometric Programming-Based Control for Nonlinear, DAE-Constrained Water Distribution Networks,” in Proc. American Control Conference<\/em>, Philadelphia, PA, July 2019, pp. 1470\u20131475. Available on arXiv<\/a>.<\/li>\n
        28. M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. Taha, \u201cA Fixed-Point Iteration for\u00a0Steady-State Analysis of Water Distribution Networks,\u201d in Proc. 6th IEEE Global\u00a0Conf. Signal and Information Processing<\/em>, Anaheim, CA, Nov. 2018, pp. 880\u2013884. Available on arXiv<\/a>. Presentation available on SigPort<\/a>.<\/li>\n
        29. A. Garg, M. Jalali, V. Kekatos, and N. Gatsis, \u201cKernel-Based Learning for Smart Inverter Control,\u201d\u00a0in Proc. 6th IEEE Global Conf. Signal and Information Processing<\/em>, Anaheim, CA, Nov. 2018, pp. 875\u2013879. Available on arXiv<\/a>.<\/li>\n
        30. M. Alamaniotis and N. Gatsis, “Evolutionary Load Morphing in Smart Power System Partitions\u00a0Ensuring Privacy and Minimizing Cost,” in Proc. Mediterranean Conf.\u00a0Power Generation, Transmission, Distribution, and Energy Conversion<\/em> (MEDPOWER 2018),\u00a0Dubrovnik, Croatia, Nov. 2018.<\/li>\n
        31. K. S. Ayyagari, N. Gatsis, A. Taha, and B. Dong, “On Static and Adaptive Policies for Chance-Constrained Voltage Regulation,” in Proc. 52nd Asilomar Conf. Signals, Systems, and Computers<\/em>, Pacific Grove, CA, Oct. 2018, pp. 1852\u20131862.<\/li>\n
        32. M. Bazrafshan, N. Gatsis, and H. Zhu, “Optimal Tap Selection of Step-Voltage Regulators in Multi-Phase Distribution Networks,” in\u00a0Proc. Power System Computation Conf.<\/i>, Dublin, Ireland, June 2018, pp. 1\u20137. Available on IEEEXplore<\/a> and\u00a0GitHub<\/a>.<\/li>\n
        33. S. A. Nugroho, M. Bazrafshan, A. F.\u00a0Taha, N. Gatsis, and J. Qi, “Robust Control of Power\u00a0Networks under Worst-Case Load and Renewables Uncertainty,” in Proc. American Control Conf.<\/em>, Milwaukee, WI, June 2018, pp. 6156\u20136161.<\/li>\n
        34. B. Dong, A. F. Taha, N. Gatsis, Z. Li, and A.\u00a0Pipri, “Impact of Occupancy-Based
          \nBuildings-to-Grid Integration on Frequency Regulation in Smart Grids,” in Proc. American Control Conf.<\/em>, Milwaukee, WI, June 2018, pp. 5399\u20135405.<\/li>\n
        35. S. A. Nugroho, A. F. Taha, T. H. Summers, and N. Gatsis, \u00a0“Simultaneous Sensor and Actuator Selection\/Placement through Output Feedback Control,” in Proc. American Control Conf.<\/em>, Milwaukee, WI, June 2018, pp. 4159\u20134164. Available on arXiv<\/a>.<\/li>\n
        36. N. Ebrahimi, S. Nugroho, A. F. Taha, A. Jafari, N. Gatsis, and W.\u00a0Gao, “Dynamic Actuator Selection and Robust State-Feedback Control of Networked Soft Actuators\u00a0,” in P<\/span><\/span>roc. IEEE Int. Conf. Robotics and Automation<\/em>, Brisbane, Australia, May 2018, pp. 2857\u2013<\/span>2864<\/span>. Available on arXiv<\/a>.<\/li>\n
        37. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Evaluation of the Detection and Mitigation of Time Synchronization Attacks on the Global Positioning System,” in Proc. IEEE\/ION Position Location and Navigation Symposium<\/em>, Monterey, CA, Apr. 2018, pp. 1368\u20131371.<\/li>\n
        38. K. S. Ayyagari, N. Gatsis, and A. F. Taha,\u00a0“Chance Constrained Optimization of Distributed Energy Resources via Affine Policies,” in Proc. 5th IEEE\u00a0<\/em>Global Conf. Signal and Information Processing<\/i>, Montreal, Canada, Nov. 2017, pp. 1050\u20131054. Presentation available on SigPort<\/a>.<\/li>\n
        39. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, \u201cAn integrated WLAN and GPS Localization for Urban Canyon Environments using Sparse Data Processing,\u201d in\u00a0Proc. 30th Int. Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2017)<\/i>, Portland, OR, Sept. 2017, pp. 417\u2013426. Available at the ION Library<\/a>.<\/li>\n
        40. Z. Li, A. Pipri, B. Dong, N. Gatsis, A. F. Taha, and N. Yu, \u201cModelling, Simulation and Control of Smart and Connected Communities,\u201d in\u00a0Proc. Int. Conf. of the International Building Performance Simulation Association (Building Simulation 2017)<\/i>, San Francisco, CA, Aug. 2017, pp. 2277\u20132286. Available at the IBPSA Library<\/a>.<\/li>\n
        41. A. F. Taha, N. Gatsis, T. Summers, and S. Nugroho, \u201cActuator Selection for Cyber-Physical Systems,\u201d in\u00a0Proc. American Control Conference<\/i>, Seattle, WA, May 2017, pp. 5300\u20135305.<\/li>\n
        42. M. Giacomoni, N. Gatsis, and A. Taha, \u201cIdentification of Cyber Attacks on Water Distribution Systems by Unveiling Low-Dimensionality in the Sensory Data,\u201d in\u00a0Proc. World Environmental & Water Resources Congress<\/i>, Sacramento, CA, May 2017, pp. 660\u2013675. Available at the\u00a0ASCE Digital Library<\/a>. Using methods in this paper, we\u00a0participated and received the\u00a0third place<\/a>\u00a0at the\u00a0BATtle of the Attack Detection ALgorithms (BATADAL)<\/a>\u00a0organized by the Environmental and Water Resources Institute.<\/li>\n
        43. D. Akopian, A. Khalajmehrabadi, and N. Gatsis, \u201cIntroduction to WLAN-Based Indoor Positioning of Mobile Devices,\u201d in\u00a0Proc. Conf. Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications<\/i>, at the\u00a0IS&T International Symposium on Electronic Imaging (EI 2017)<\/i>, Burlingame, CA, Feb. 2017, pp. 5\u201314. Available at the\u00a0IS&T Digital Library<\/a>.<\/li>\n
        44. M. Bazrafshan, N. Gatsis, A. F. Taha, and J. A. Taylor, \u201cAugmenting the Optimal Power Flow for Stability,\u201d in\u00a0Proc. IEEE Conf. Decision and Control<\/i>, Las Vegas, NV, Dec. 2016, pp. 4104\u20134109.<\/li>\n
        45. M. Bazrafshan and N. Gatsis, \u201cConvergence of the Z-Bus Method and Existence of Unique Solution in Single-Phase Distribution Load-Flow,\u201d in\u00a0Proc. 4th IEEE Global Conf. Signal and Information Processing<\/i>, Washington, DC, Dec. 2016, pp. 851\u2013855. Presentation available on\u00a0SigPort<\/a>.<\/li>\n
        46. M. Bazrafshan and N. Gatsis, \u201cOn the Solution of the Three-Phase Load-Flow in Distribution Networks,\u201d in\u00a0Proc. 50th Asilomar Annual Conf. Signals, Systems, and Computers<\/i>, Pacific Grove, CA, Nov. 2016, pp. 303\u2013307.<\/li>\n
        47. P. Risbud, N. Gatsis, and A. Taha, \u201cAssessing Power System State Estimation Accuracy with GPS-Spoofed PMU Measurements,\u201d in\u00a0Proc. IEEE PES Innovative Smart Grid Technologies Conf.<\/i>, Minneapolis, MN, Sept. 2016, pp. 1\u20135.<\/li>\n
        48. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, \u201cIndoor WLAN Localization using a Structured Group Sparsity Optimization Technique,\u201d in\u00a0Proc. IEEE\/ION Position Location and Navigation Symposium<\/i>, Savannah, Georgia, Apr. 2016, pp. 584\u2013589.<\/li>\n
        49. N. Gatsis, L. Yalamanchili, M. Bazrafshan, and P. Risbud, \u201cDecentralized Coordination of Energy Resources in Electricity Distribution Networks,\u201d in\u00a0Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing<\/i>, Shanghai, China, Mar. 2016, pp. 3471\u20133475. Presentation available on\u00a0SigPort<\/a>.<\/li>\n
        50. M. Bazrafshan and N. Gatsis, \u201cPlacing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation,\u201d in\u00a0Proc. 3rd IEEE Global Conf. Signal and Information Processing<\/i>, Orlando, FL, Dec. 2015, pp. 1136\u20131140. Presentation available on\u00a0SigPort<\/a>.<\/li>\n
        51. M. Bazrafshan and N. Gatsis, \u201cRisk-Averse Placement and Sizing of Photovoltaic Generators in Radial Distribution Networks,\u201d in\u00a0Proc. 49th Asilomar Annual Conf. Signals, Systems, and Computers<\/i>, Pacific Grove, CA, Nov. 2015, pp. 885\u2013889.<\/li>\n
        52. M. Bazrafshan and N. Gatsis, \u201cVoltage Regulation in Electricity Distribution Networks Using the Conditional Value-at-Risk,\u201d in\u00a0Proc. 2nd IEEE Global Conf. Signal and Information Processing<\/i>, Atlanta, GA, Dec. 2014, pp. 909\u2013913.<\/li>\n
        53. M. Bazrafshan and N. Gatsis, \u201cDecentralized Stochastic Programming for Real and Reactive Power Management in Distribution Systems,\u201d in\u00a0Proc. 5th IEEE International Conf. Smart Grid Communications<\/i>, Venice, Italy, Nov. 2014, pp. 218\u2013223.<\/li>\n
        54. N. Gatsis and A. G. Marques, \u201cA stochastic approximation approach to load shedding in power networks,\u201d in \/Proc. IEEE International Conf. Acoustics, Speech and Signal Processing, Florence, Italy, May 2014, pp. 6464\u20136468.<\/li>\n
        55. G. Martinez, N. Gatsis, and G. B. Giannakis, \u201cStochastic programming for energy planning in microgrids with renewables,\u201d in\u00a0Proc. 5th IEEE Int. Workshop Computational Advances in Multi-Sensor Adaptive Processing<\/i>, Saint Martin, Dec. 2013, pp. 472\u2013-475.<\/li>\n
        56. Y. Zhang, N. Gatsis, and G. B. Giannakis, \u201cDisaggregated bundle methods for distributed market clearing in power networks,\u201d in\u00a0Proc. 1st IEEE Global Conf. Signal and Information Processing<\/i>, Austin, TX, Dec. 2013, pp. 835\u2013-838.<\/li>\n
        57. Y. Zhang, N. Gatsis, V. Kekatos, and G. B. Giannakis, \u201cRisk-aware management of distributed energy resources,\u201d in Proc. 18th International Conf. Digital Signal Processing<\/em>, Santorini, Greece, July 2013, pp. 1\u20135.<\/li>\n
        58. Y. Zhang, N. Gatsis, and G. B. Giannakis, \u201cRisk-constrained energy management with multiple wind farms,\u201d in\u00a0Proc. IEEE PES Innovative Smart Grid Technologies Conf.<\/i>, Washington, D.C., Feb. 2013, pp. 1\u20136.<\/li>\n
        59. N. Gatsis and G. B. Giannakis, \u201cAsynchronous subgradient methods with unbounded delays for communication networks,\u201d in\u00a0Proc. 51st IEEE Conf. Decision and Control<\/i>, Maui, HI, Dec. 2012, pp. 5870\u20135875.<\/li>\n
        60. Y. Zhang, N. Gatsis, and G. B. Giannakis, \u201cRobust distributed energy management for microgrids with renewables,\u201d in\u00a0Proc. 3rd IEEE Int. Conf. Smart Grid Communications<\/i>, Tainan City, Taiwan, Nov. 2012, pp. 510\u2013515.<\/li>\n
        61. N. Gatsis and G. B. Giannakis, \u201cResidential demand response with interruptible tasks: Duality and algorithms,\u201d in\u00a0Proc. 50th IEEE Conf. Decision and Control and European Control Conf.<\/i>, Orlando, FL, Dec. 2011, pp. 1\u20136.<\/li>\n
        62. N. Gatsis and G. B. Giannakis, \u201cCooperative multi-residence demand response scheduling,\u201d in\u00a0Proc. 45th Conf. Information Sciences and Systems<\/i>, Baltimore, MD, Mar. 2011, pp. 1\u20136.<\/li>\n
        63. K. Rajawat, N. Gatsis, S.-J. Kim, and G. B. Giannakis, \u201cCross-layer design of coded multicast for wireless random access networks,\u201d in \/Proc. 45th Conf. Information Sciences and Systems, Baltimore, MD, Mar. 2011, pp. 1\u20136.<\/li>\n
        64. K. Rajawat, N. Gatsis, and G. B. Giannakis, \u201cCross-layer design of multicast in fading: Network coding and asynchronous subgradients,\u201d in\u00a0Proc. 3rd IEEE International Workshop on Wireless Network Coding<\/i>, Boston, MA, June 2010, pp. 1\u20136.<\/li>\n
        65. N. Gatsis, A. Ribeiro, and G. B. Giannakis, \u201cCross-layer optimization of wireless fading ad-hoc networks,\u201d in\u00a0Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing<\/i>, Taipei, Taiwan, Apr. 2009, pp. 2353\u20132356.<\/li>\n
        66. N. Gatsis, A. G. Marques, and G. B. Giannakis, \u201cUtility-based power control for peer-to-peer cognitive radio networks with heterogeneous QoS constraints,\u201d in\u00a0Proc. IEEE International Conf. Acoustics, Speech, and Signal Processing<\/i>, Las Vegas, NV, Mar.\u2013Apr. 2008, pp. 2405\u20132408.<\/li>\n<\/ol>\n

          Presentations at Conferences Without Published Proceedings<\/h2>\n
            \n
          1. C. E. Lima, J. Solis, and N. Gatsis, “Development and Application of Electric Circuit Models in Electric Vehicle Design,” presented at the 99th NARST Annual International Conference, Seattle, WA, Apr. 9, 2026.<\/li>\n
          2. M. Loupa, S. Ahmed, and N. Gatsis, Integration of Medium- and Heavy-Duty Electric Vehicles into Autonomous Energy Systems, Seventh Workshop on Autonomous Energy Systems (organized by the National Renewable Energy Laboratory), Golden, CO, Sept. 4, 2024.<\/li>\n
          3. C. Lima and N. Gatsis, “Linking K-12 Teaching and Mentoring Programs with Research in Electric Power Grids,” presented at the Resilient Electric Grid Consortium of North America Symposium, College Station, TX, Nov. 17, 2023.<\/li>\n
          4. L. Bocanegra and N. Gatsis, “Energy and Water Nexus Via Fault Location and Leakage Detection,” in 5th Annual IEEE Texas Power and Energy Conference, Feb. 2021 (received 2nd place poster award)<\/strong>.<\/li>\n
          5. K. S. Ayyagari, S. Wang, N. Gatsis, A. Taha, and M. H. Giacomoni, “Joint Management of Power and Water Distribution Networks,” presented at Workshop on Forging Connections between Machine Learning, Data Science, & Power Systems Research, Alexandria, VA (NSF Headquarters), Mar. 5, 2020.<\/li>\n
          6. N. Gatsis, “Optimization methods for coordination of power and water distribution networks,” presented at the Georgia Tech Workshop on Energy Systems and Optimization, online, Dec. 10, 2020.<\/li>\n
          7. J. Lee, A. Taha, N. Gatsis, and D. Akopian, “Tuning-Free, Low Memory Robust Estimator to Mitigate GPS Spoofing Attacks,” presented at the 58th IEEE Conference on Decision and Control, Nice, France, Dec. 2019.<\/li>\n
          8. N. Gatsis, “Coupling Artificial Neural Networks with Chance Constrained Optimization for Voltage Regulation in Distribution Grids,” presented at the Conference on Modeling and Optimization: Theory and Applications (MOPTA), Lehigh University, Bethlehem, PA, Aug. 2019 (invited)<\/em><\/strong>.<\/li>\n
          9. H. Fortenot, K. S. Ayyagari, N. Gatsis, A. Taha, and B. Dong, “Buildings-to-Distribution-Network Integration Framework including Photovoltaics and Battery Energy Storage System,” presented at the Intelligent Building Operations Workshop, Boulder, CO, Aug. 2019.<\/li>\n
          10. S. Wang, A. Taha, N. Gatsis, and M. Giacomoni, “Geometric Programming Approach for Optimal Control of Water Distribution Networks”, presented at the World Environmental & Water Resources Congress, Pittsburg, PA, May 2019.<\/li>\n
          11. M. Bazrafshan, N. Gatsis, and H. Zhu, “Multi-Phase Optimal Power Flow With Step-Voltage Regulators,” presented at the IISE Annual Conference & Expo, Orlando, FL, May 2019 (invited)<\/strong><\/em>.<\/li>\n
          12. S. Wang, A. Taha, N. Gatsis, and M. Giacomoni,\u00a0“WiP Abstract: Control of Water Distribution Networks using Convex Approximations,” presented at the 10th ACM\/IEEE International Conference on Cyber-Physical Systems, Montreal, Canada, Apr. 2019.<\/li>\n
          13. P. Risbud, N. Gatsis, and A. F. Taha, \u201cVulnerability Analysis of Smart Grids to GPS Spoofing,\u201d presented at the IEEE PES General Meeting, Portland, OR, Aug. 2018. (Presentation of IEEE Trans. Power Systems paper available on on IEEEXplore<\/a> and arXiv<\/a>.)<\/li>\n
          14. A. F. Taha, N. Gatsis, B. Dong, A. Pipri, and Z. Li, \u201cBuildings-to-Grid Integration Framework,\u201d presented at the IEEE PES General Meeting, Portland, OR, Aug. 2018. (Presentation of IEEE Trans. Smart Grid paper available on IEEEXplore<\/a> and\u00a0arXiv<\/a>.)<\/li>\n
          15. M. Bazrafshan and N. Gatsis, \u201cComprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,\u201d presented at the IEEE PES General Meeting, Portland, OR, Aug. 2018. (Presentation of IEEE Trans. Power Systems paper available on IEEEXplore<\/a> and\u00a0<\/span>arXiv<\/a>.)<\/span><\/li>\n
          16. H. P. Montoya, N. Gatsis, and M. H. Giacomoni, “Sensitivity Analysis of an Optimization Approach to Identify Cyber Attacks on Water Distribution Networks,” presented at the World Environmental & Water Resources Congress, Minneapolis, MN, June 2018.<\/li>\n
          17. K. S. Ayyagari, N. Gatsis, and A. F. Taha, “A Family of Policies for Reactive Power Control of PV Inverters in Distribution Networks,” presented at the DistribuTECH Conference and Exposition, San Antonio, TX, Jan. 2018.<\/li>\n
          18. A. F. Taha, N. Gatsis, T. H. Summers, and S. A. Nugroho, “Cherry-Picking Sensors and Actuators for Time-Varying and Uncertain Dynamic Networks,” presented at the\u00a02nd Symposium on the Control of Network Systems (SCONES), Boston, MA, Oct. 2017.<\/li>\n
          19. K. K. Castillo-Villar, N. Gatsis, M. Taherkorsandi and M. Bazrafshan, \u201cA Robust Optimization Model for Biofuel Supply Chain Planning Incorporating Biomass Quality Uncertainties,\u201d presented at the INFORMS International Conference, Waikoloa Village, HI, June 2016.<\/li>\n
          20. N. Gatsis and M. Bazrafshan, \u201cStochastic programming models for power flow optimization in electricity distribution networks,\u201d presented at the INFORMS Annual Meeting, San Fransisco, CA, Nov. 2014.<\/li>\n
          21. G. Martinez, N. Gatsis, and G. B. Giannakis, \u201cTwo-stage stochastic optimization for energy planning in microgrids,\u201d presented at the INFORMS Annual Meeting, Minneapolis, MN, Oct. 2013.<\/li>\n
          22. Y. Zhang, N. Gatsis, and G. B. Giannakis, \u201cA stochastic programming approach to power dispatch with renewable energy sources,\u201d presented at the INFORMS Annual Meeting, Minneapolis, MN, Oct. 2013.<\/li>\n<\/ol>\n

            Patents<\/h2>\n
              \n
            1. E. Schmidt, D. Akopian, and N. Gatsis, “SYSTEM AND METHOD FOR GLOBAL NAVIGATION SATELLITE SYSTEM (GNSS) SPOOFING DETECTION,” U.S. Patent 12,292,516, May 6, 2025.<\/li>\n
            2. D. Akopian, A. Khalajmehrabadi, and N. Gatsis, “Systems, Methods and Computer Programs for Wireless Local Area Network Localization,” U.S. Patent 11,212,018, Dec. 28, 2021.<\/li>\n
            3. B. Dong, A. Taha, N. Gatsis, Z. Li, and A. Pipri, “Systems and Methods for Optimizing Building-to-Grid Integration,” U.S. Patent 11,177,656, Nov. 16, 2021.<\/li>\n
            4. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Method and system for detecting and mitigating time synchronization attacks of global positioning system (GPS) receivers,” U.S. Patent 11,105,932, Aug. 31, 2021.<\/li>\n
            5. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, \u201cSystems, Methods and Computer Programs for Wireless Local Area Network Localization,\u201d U.S. Patent Application U.S. Patent 10,511,392, Dec. 17, 2019.<\/li>\n<\/ol>\n

              Editorials<\/h2>\n
                \n
              1. D. Kundur, J. Contreras, D. Srinivasan, N. Gatsis, M. Wang and S. Peeta, “Introduction to the Issue on Signal and Information Processing for Critical Infrastructures,”\u00a0IEEE Journal of Selected Topics in Signal Processing<\/em>, vol. 12, no. 4, pp. 575-577, Aug. 2018.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

                Book Chapters E. Dall\u2019Anese and N. Gatsis, \u201cDistributed optimization for power and energy systems,\u201d in Data Analytics for Power Systems, A. Tajer, S. M. Perlaza, and H. V. Poor, Eds. Cambridge, UK: Cambridge University Press, in press. A. G. Marques, N. Gatsis, and G. B. Giannakis, \u201cOptimal cross-layer design of wireless fading multi-hop networks,\u201d in\u00a0Cross … <\/p>\n

                Continue reading “Publications”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-14","page","type-page","status-publish","hentry"],"yoast_head":"\nPublications - Nikolaos Gatsis<\/title>\n<meta name=\"description\" content=\"M.Bazrafshan and N. Gatsis, \u201cComprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,\u201d IEEE Trans. Power Systems, accepted for publication.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ceid.utsa.edu\/ngatsis\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications - Nikolaos Gatsis\" \/>\n<meta property=\"og:description\" content=\"M.Bazrafshan and N. Gatsis, \u201cComprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,\u201d IEEE Trans. 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