Publications

Book Chapters

  1. E. Dall’Anese and N. Gatsis, “Distributed optimization for power and energy systems,” in Data Analytics for Power Systems, A. Tajer, S. M. Perlaza, and H. V. Poor, Eds. Cambridge, UK: Cambridge University Press, in press.

  2. A. G. Marques, N. Gatsis, and G. B. Giannakis, “Optimal cross-layer design of wireless fading multi-hop networks,” in Cross Layer Designs in WLAN Systems, N. Zorba, C. Skianis, and C. Verikoukis, Eds. Leicester, UK: Troubador Publishing, 2011, vol. 1, ch. 5, pp. 133–175.

Journal Papers (Under Review)

  1. R. S. Gonzalez, K. S. Ayyagari, A. Almoola, V. A. Aryasomyajula, N. Gatsis, M. Alamaniotis, and S. Ahmed, “New Optimal Protection Coordination Problem Formulation for Dual-Setting Relays Using Inverse-Time and Definite-Time Characteristics,” submitted.
  2. V. A. Aryasomyajula, S. Ahmed, M. K. Singh, and N. Gatsis, “Decoupled ODE Representation for Time-Domain Analysis of Distribution Systems,” submitted.
  3. V. A. Aryasomyajula, R. S. Gonzalez, K. S. Ayyagari, S. Ahmed, M. Alamaniotis, and N. Gatsis, “Short Circuit Analysis for Dynamic Reactive Current Controlled Inverter-Based Distribution Systems,” submitted.
  4. 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.
  5. 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.

Journal Papers

  1. C. Lima and N. Gatsis, “Designing Electric Cars: A University-based Cross-disciplinary Collaboration with Elementary Schools,” Connected Science Learning, 2024 (in press).
  2. J. Lee, E. Schmidt, N. Gatsis and D. Akopian, “Detection and Mitigation of Spoofing Attacks Against Time Synchronization and Positioning,” IEEE Access, vol. 11, pp. 138986-139003, 2023.
  3. 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, Nov. 2023.
  4. 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, vol. 11, no. 1, pp. 201-211, Jan. 2023.
  5. K. S. Ayyagari and N. Gatsis, “Optimal pump scheduling in multi-phase distribution networks using Benders decomposition,” Electric Power Systems Research, Volume 212, 108584, Nov. 2022.
  6. 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, vol. 9, no. 3, pp. 1531–1543, Sept. 2022.
  7. 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, vol. 30, no. 2, pp. 507 – 519, Mar. 2022.
  8. A. F. Taha, S.Wang, Y Guo, T. H. Summers, N. Gatsis, M. H. Giacomoni, and Ahmed A. Abokifa, “Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics,” Journal of Water Resources Planning and Management, vol. 147, no. 7, 04021040, July 2021.
  9. 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.
  10. E. Schmidt, J. Lee, N. Gatsis, and D. Akopian, “Rejection of Smooth GPS Time Synchronization Attacks via Sparse Techniques,” IEEE Sensors Journal, vol. 21, no. 1, pp. 776–789, Jan. 2021.
  11. E. Schmidt, N. Gatsis, and D. Akopian, “A GPS high-resolution authentication technique based on LASSO,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 6, pp. 4224–4237, Dec. 2020.
  12. 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, vol. 5, no. 3, pp. 1151–1163, Sept. 2020. Available on IEEEXplore and arXiv.
  13. 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, vol. 8, no. 4, pp. 597–606, July 2020. Available on IEEEXplore.
  14. 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, vol. 56, 2020. Available on the AGU Library.
  15. 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, vol. 11, no. 2, pp. 1759–1770, Mar. 2020. Available on IEEEXplore and arXiv.
  16. 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, vol. 4, no. 1, pp. 145–150, Jan. 2020. Available on arXiv.
  17. M. Bazrafshan, N. Gatsis, and H. Zhu, “Optimal Power Flow with Step-Voltage Regulators in Multi-Phase Distribution Networks,” IEEE Trans. Power Systems, vol. 34, no. 6, pp. 4228–4239,  Nov. 2019. Available on IEEEXplore and arXiv.
  18. 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, vol. 6, no. 3, pp. 1210–1222, Sept. 2019. (Special Issue on Special Issue on Analysis, Control, and Optimization of Energy Networks.) Available on IEEEXplore and arXiv.
  19. S. Nugroho, A. Taha, N. Gatsis, T. Summers, and R. Krishnan, “Algorithms for Joint Sensor and Control Nodes Selection in Dynamic Networks,” Automatica, vol. 106, pp. 124–133, Aug. 2019. Available on arXiv.
  20. P. Risbud, N. Gatsis, and A. F. Taha, “Vulnerability Analysis of Smart Grids to GPS Spoofing,” IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 3535–3548, July 2019. Available on IEEEXplore and arXiv.
  21. M. Alamaniotis and N. Gatsis, “Evolutionary Multi-Objective Cost and Privacy Driven Load Morphing in Smart Electricity Grid Partition,” Energies, vol. 12, no. 13, June 2019.
  22. 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, vol. 6, no. 2, pp. 750–762, June 2019. Available in IEEEXplore. Extended version available on arXiv.
  23. M. Bazrafshan, N. Gatsis, A. F. Taha, and J. A. Taylor, “Coupling Load-Following Control with OPF,” IEEE Trans. Smart Grid, vol. 10, no. 3, pp. 2495–2506, May 2019. Available on IEEEXplore and arXiv.
  24. M. Bazrafshan, N. Gatsis, and E. Dall’Anese, “Placement and Sizing of Inverter-Based Renewable Systems in Multi-Phase Distribution Networks,” IEEE Trans. Power Systems, vol. 34, no. 2, pp. 918–930, Mar. 2019. Available on IEEEXplore.
  25. A. F. Taha, N. Gatsis, B. Dong, A. Pipri, and Z. Li, “Buildings-to-Grid Integration Framework,” IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1237–1249, Mar. 2019. Available on IEEEXplore and arXiv.
  26. M. Bazrafshan and L. Yalamanchili, and N. Gatsis and J. Gomez, “Stochastic Planning of Distributed PV Generation,” Energies, vol. 12, no. 3, Feb. 2019 (invited feature paper in special issue 10 Years of Energies).
  27. 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, “The Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks,” Journal of Water Resources Planning and Management, vol. 144, no. 8, pp. 1–11, Aug. 2018. Manuscript describing the BATtle of the Attack Detection ALgorithms (BATADAL) competition and the participating teams’ results, where we received the third place.
  28. A. Khalajmehrabadi, N. Gatsis, D. Akopian, and A. F. Taha, “Real-Time  Rejection and Mitigation  of Time Synchronization Attacks  on the Global Positioning System,” IEEE Trans. Industrial Electronics, vol. 65, no. 8, pp. 6425–6435, Aug. 2018. Available on IEEEXplore and arXiv.
  29. B. Dong, Z. Li, A. Taha, and N. Gatsis, “Occupancy-based Buildings-to-grid Integration Framework for Smart and Connected Communities,” Applied Energy, vol. 219,  pp. 123–137, June 2018 . Available on ScienceDirect.
  30. M. Alamaniotis, N. Gatsis, and L. H. Tsoukalas, “Virtual Budget: Integration of Electricity Load and Price Anticipation for Load Morphing in Price-Directed Energy Utilization,” Electric Power Systems Research, vol. 158, pp. 284–296, May 2018. Available on ScienceDirect.
  31. M. Bazrafshan and N. Gatsis, “Comprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,” IEEE Trans. Power Systems, vol. 33, no. 2, pp. 2015–2029, Mar. 2018. Available on IEEEXplore and arXiv.
  32. M. Bazrafshan and N. Gatsis, “Convergence of the Z-Bus Method for Three-Phase Distribution Load-Flow with ZIP Loads,” IEEE Trans. Power Systems, vol. 33, no. 1, pp. 153–165, Jan 2018. Available on IEEEXplore and arXiv.
  33. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges,” IEEE Communications Surveys and Tutorials, vol. 19, no. 3, pp. 1974–2002, third quarter 2017. Available on arXiv.
  34. A. Khalajmehrabadi, N. Gatsis, D. Pack, and D. Akopian, “A Joint Indoor WLAN Localization and Outlier Detection Scheme Using LASSO and Elastic-Net Optimization Techniques,” IEEE Trans. Mobile Computing, vol. 16, no. 8 pp. 2079–2092, Aug. 2017. Available on arXiv.
  35. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Structured Group Sparsity: A Novel Indoor WLAN Localization, Outlier Detection, and Radio Map Interpolation Scheme,” IEEE Trans. Vehicular Technology, vol. 66, no. 7, pp. 6498–6510, July 2017. Available on arXiv.
  36. M. Bazrafshan and N. Gatsis, “Decentralized Stochastic Optimal Power Flow in Radial Networks with Distributed Generation,” IEEE Trans. Smart Grid, vol. 8, no. 2, pp. 787–801, Mar. 2017. Available on arXiv.
  37. N. Gatsis and G. B. Giannakis,“Decomposition algorithms for market clearing with large-scale demand response,” IEEE Trans. Smart Grid, vol. 4, no. 4, pp. 1976–1987, Dec. 2013.
  38. Y. Zhang, N. Gatsis, and G. B. Giannakis, “Robust energy management for microgrids with high-penetration renewables,” IEEE Trans. Sustainable Energy, vol. 4, no. 4, pp. 944–953, Oct. 2013. Extended version available on arXiv.
  39. G. B. Giannakis, V. Kekatos, N. Gatsis, S.-J. Kim, H. Zhu, and B. F. Wollenberg, “Monitoring and optimization for power grids: A signal processing perspective,” IEEE Signal Processing Magazine, vol. 30, no. 5, pp. 107–128, Sept. 2013. Featured in the IEEE Communications Society Best Readings on Smart Grid Communications.
  40. N. Gatsis and G. B. Giannakis, “Residential load control: Distributed scheduling and convergence with lost AMI messages,” IEEE Trans. Smart Grid, vol. 3, no. 2, pp. 770–786, June 2012.
  41. K. Rajawat, N. Gatsis, S.-J. Kim, and G. B. Giannakis, “Cross-layer design of coded multicast for wireless random access networks,” IEEE J. Selected Areas in Communications, vol. 29, no. 10, pp. 1970–1980, Dec. 2011.
  42. K. Rajawat, N. Gatsis, and G. B. Giannakis, “Cross-layers designs in coded wireless fading networks with multicast,” IEEE/ACM Trans. Networking, vol. 19, no. 5, pp. 1276–1289, Oct. 2011.
  43. N. Gatsis and G. B. Giannakis, “Power control with imperfect exchanges and applications to spectrum sharing,” IEEE Trans. Signal Processing, vol. 59, no. 7, pp. 3410–3423, July 2011.
  44. N. Gatsis, A. Ribeiro, and G. B. Giannakis, “A class of convergent algorithms for resource allocation in wireless fading networks,” IEEE Trans. Wireless Communications, vol. 9, no. 5, pp. 1808–1823, May 2010.
  45. N. Gatsis, A. G. Marques, and G. B. Giannakis, “Power control for cooperative dynamic spectrum access networks with diverse QoS constraints,” IEEE Trans. Communications, vol. 58, no. 3, pp. 933–944, Mar. 2010.

Conference Papers

  1.   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), Phoenix, AZ, Oct. 2024.
  2. 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, Canyon, TX, Mar. 2024.
  3. 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), College Station, TX, USA, 2024, pp. 1–6.
  4. 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), College Station, TX, USA, 2024, pp. 1–6.
  5. 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,” in Proc. IEEE 61st Conference on Decision and Control, Cancun, Mexico, Dec. 2022, pp. 3116–3122.
  6. V. A. Aryasomyajula, N. Gatsis, and A. F. Taha, “Power System Dynamic State Based on Discretized Nonlinear Differential Algebraic Equation Models,” in Proc. North American Power Symposium, Salt Lake City, UT, Oct. 2022, pp. 1–6.
  7. M. M. Sani, P. Risbud, A. V. Aryasomyajula, and N. Gatsis, “Effects of Pseudo-Measurements on GPS Spoofed Power System State Estimation,” in Proc. IEEE Texas Power and Energy Conference (TPEC), College Station, TX, Feb. 2022, pp. 1–6.
  8. J. Lee, E. Schmidt, N. Gatsis, and D. Akopian, “Anti-Spoofing Technique Against GPS Time and Position Attacks Based on Sparse Signal Processing,” in Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+), St. Louis, MO, Sept. 2021, pp. 3581–3590.
  9. 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), San Diego, Aug. 2021, pp. 309– 314.
  10. K. S. Ayyagari, S. Wang, N. Gatsis, and A. Taha, “Energy-Efficient Optimal Water Flow Considering Pump Efficiency,” in Proc. IEEE PowerTech Conference, Madrid, Spain, June-July 2021 , pp. 1–6.
  11. K. S. Ayyagari, S. Wang, N. Gatsis, A. F. Taha, and M. Giacomoni, “Co-Optimization of Interdependent Water and Power Distribution Networks,” in Proc. IEEE Conference on Innovative Smart Grid Technologies, Feb. 2021, pp. 1–5.
  12. H. C. Fontenot, K. S. Ayyagari, B. Dong, N. Gatsis, and A. Taha, “Buildings-to-Distribution Network Integration to Enable Voltage Regulation Considering Renewable Energy Resources,” in Proc. Building Performance Analysis Conference and SimBuild, Sept.–Oct. 2020.  pp. 44–52.
  13. E. Schmidt, N. Gatsis, and D. Akopian, “High-resolution correlator based detection of GPS spoofing attacks using the LASSO,” in Proc. IEEE/ION Position Location and Navigation Symposium, Portland, OR, Apr. 2020, pp. 1196–1201.
  14. 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, Nice, France, Dec. 2019. Available on arXiv.
  15. M. Bazrafshan, H. Zhu, A. Khodaei,  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, Beijing, China, Oct. 2019.
  16. M. Bazrafshan, H. Zhu,  and N. Gatsis, “Real-Time Voltage Stability Enhancement via Demand Response,” in Proc. 51st North American Power Symposium, Wichita, KS, Oct. 2019, pp. 1–6.
  17. 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, Baltimore, MD, Sept.–Oct. 2019, pp. 5840–5847.
  18. 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, Philadelphia, PA, July 2019, pp. 1470–1475. Available on arXiv.
  19. M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. Taha, “A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks,” in Proc. 6th IEEE Global Conf. Signal and Information Processing, Anaheim, CA, Nov. 2018, pp. 880–884. Available on arXiv. Presentation available on SigPort.
  20. A. Garg, M. Jalali, V. Kekatos, and N. Gatsis, “Kernel-Based Learning for Smart Inverter Control,” in Proc. 6th IEEE Global Conf. Signal and Information Processing, Anaheim, CA, Nov. 2018, pp. 875–879. Available on arXiv.
  21. M. Alamaniotis and N. Gatsis, “Evolutionary Load Morphing in Smart Power System Partitions Ensuring Privacy and Minimizing Cost,” in Proc. Mediterranean Conf. Power Generation, Transmission, Distribution, and Energy Conversion (MEDPOWER 2018), Dubrovnik, Croatia, Nov. 2018.
  22. 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, Pacific Grove, CA, Oct. 2018, pp. 1852–1862.
  23. M. Bazrafshan, N. Gatsis, and H. Zhu, “Optimal Tap Selection of Step-Voltage Regulators in Multi-Phase Distribution Networks,” in Proc. Power System Computation Conf., Dublin, Ireland, June 2018, pp. 1–7. Available on IEEEXplore and GitHub.
  24. S. A. Nugroho, M. Bazrafshan, A. F. Taha, N. Gatsis, and J. Qi, “Robust Control of Power Networks under Worst-Case Load and Renewables Uncertainty,” in Proc. American Control Conf., Milwaukee, WI, June 2018, pp. 6156–6161.
  25. B. Dong, A. F. Taha, N. Gatsis, Z. Li, and A. Pipri, “Impact of Occupancy-Based
    Buildings-to-Grid Integration on Frequency Regulation in Smart Grids,” in Proc. American Control Conf., Milwaukee, WI, June 2018, pp. 5399–5405.
  26. S. A. Nugroho, A. F. Taha, T. H. Summers, and N. Gatsis,  “Simultaneous Sensor and Actuator Selection/Placement through Output Feedback Control,” in Proc. American Control Conf., Milwaukee, WI, June 2018, pp. 4159–4164. Available on arXiv.
  27. N. Ebrahimi, S. Nugroho, A. F. Taha, A. Jafari, N. Gatsis, and W. Gao, “Dynamic Actuator Selection and Robust State-Feedback Control of Networked Soft Actuators ,” in Proc. IEEE Int. Conf. Robotics and Automation, Brisbane, Australia, May 2018, pp. 2857–2864. Available on arXiv.
  28. 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, Monterey, CA, Apr. 2018, pp. 1368–1371.
  29. K. S. Ayyagari, N. Gatsis, and A. F. Taha, “Chance Constrained Optimization of Distributed Energy Resources via Affine Policies,” in Proc. 5th IEEE Global Conf. Signal and Information Processing, Montreal, Canada, Nov. 2017, pp. 1050–1054. Presentation available on SigPort.
  30. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “An integrated WLAN and GPS Localization for Urban Canyon Environments using Sparse Data Processing,” in Proc. 30th Int. Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, OR, Sept. 2017, pp. 417–426. Available at the ION Library.
  31. Z. Li, A. Pipri, B. Dong, N. Gatsis, A. F. Taha, and N. Yu, “Modelling, Simulation and Control of Smart and Connected Communities,” in Proc. Int. Conf. of the International Building Performance Simulation Association (Building Simulation 2017), San Francisco, CA, Aug. 2017, pp. 2277–2286. Available at the IBPSA Library.
  32. A. F. Taha, N. Gatsis, T. Summers, and S. Nugroho, “Actuator Selection for Cyber-Physical Systems,” in Proc. American Control Conference, Seattle, WA, May 2017, pp. 5300–5305.
  33. M. Giacomoni, N. Gatsis, and A. Taha, “Identification of Cyber Attacks on Water Distribution Systems by Unveiling Low-Dimensionality in the Sensory Data,” in Proc. World Environmental & Water Resources Congress, Sacramento, CA, May 2017, pp. 660–675. Available at the ASCE Digital Library. Using methods in this paper, we participated and received the third place at the BATtle of the Attack Detection ALgorithms (BATADAL) organized by the Environmental and Water Resources Institute.
  34. D. Akopian, A. Khalajmehrabadi, and N. Gatsis, “Introduction to WLAN-Based Indoor Positioning of Mobile Devices,” in Proc. Conf. Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, at the IS&T International Symposium on Electronic Imaging (EI 2017), Burlingame, CA, Feb. 2017, pp. 5–14. Available at the IS&T Digital Library.
  35. M. Bazrafshan, N. Gatsis, A. F. Taha, and J. A. Taylor, “Augmenting the Optimal Power Flow for Stability,” in Proc. IEEE Conf. Decision and Control, Las Vegas, NV, Dec. 2016, pp. 4104–4109.
  36. M. Bazrafshan and N. Gatsis, “Convergence of the Z-Bus Method and Existence of Unique Solution in Single-Phase Distribution Load-Flow,” in Proc. 4th IEEE Global Conf. Signal and Information Processing, Washington, DC, Dec. 2016, pp. 851–855. Presentation available on SigPort.
  37. M. Bazrafshan and N. Gatsis, “On the Solution of the Three-Phase Load-Flow in Distribution Networks,” in Proc. 50th Asilomar Annual Conf. Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2016, pp. 303–307.
  38. P. Risbud, N. Gatsis, and A. Taha, “Assessing Power System State Estimation Accuracy with GPS-Spoofed PMU Measurements,” in Proc. IEEE PES Innovative Smart Grid Technologies Conf., Minneapolis, MN, Sept. 2016, pp. 1–5.
  39. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Indoor WLAN Localization using a Structured Group Sparsity Optimization Technique,” in Proc. IEEE/ION Position Location and Navigation Symposium, Savannah, Georgia, Apr. 2016, pp. 584–589.
  40. N. Gatsis, L. Yalamanchili, M. Bazrafshan, and P. Risbud, “Decentralized Coordination of Energy Resources in Electricity Distribution Networks,” in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, Shanghai, China, Mar. 2016, pp. 3471–3475. Presentation available on SigPort.
  41. M. Bazrafshan and N. Gatsis, “Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation,” in Proc. 3rd IEEE Global Conf. Signal and Information Processing, Orlando, FL, Dec. 2015, pp. 1136–1140. Presentation available on SigPort.
  42. M. Bazrafshan and N. Gatsis, “Risk-Averse Placement and Sizing of Photovoltaic Generators in Radial Distribution Networks,” in Proc. 49th Asilomar Annual Conf. Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2015, pp. 885–889.
  43. M. Bazrafshan and N. Gatsis, “Voltage Regulation in Electricity Distribution Networks Using the Conditional Value-at-Risk,” in Proc. 2nd IEEE Global Conf. Signal and Information Processing, Atlanta, GA, Dec. 2014, pp. 909–913.
  44. M. Bazrafshan and N. Gatsis, “Decentralized Stochastic Programming for Real and Reactive Power Management in Distribution Systems,” in Proc. 5th IEEE International Conf. Smart Grid Communications, Venice, Italy, Nov. 2014, pp. 218–223.
  45. N. Gatsis and A. G. Marques, “A stochastic approximation approach to load shedding in power networks,” in /Proc. IEEE International Conf. Acoustics, Speech and Signal Processing, Florence, Italy, May 2014, pp. 6464–6468.
  46. G. Martinez, N. Gatsis, and G. B. Giannakis, “Stochastic programming for energy planning in microgrids with renewables,” in Proc. 5th IEEE Int. Workshop Computational Advances in Multi-Sensor Adaptive Processing, Saint Martin, Dec. 2013, pp. 472–-475.
  47. Y. Zhang, N. Gatsis, and G. B. Giannakis, “Disaggregated bundle methods for distributed market clearing in power networks,” in Proc. 1st IEEE Global Conf. Signal and Information Processing, Austin, TX, Dec. 2013, pp. 835–-838.
  48. Y. Zhang, N. Gatsis, V. Kekatos, and G. B. Giannakis, “Risk-aware management of distributed energy resources,” in /Proc. 18th International Conf. Digital Signal Processing, Santorini, Greece, July 2013, pp. 1–5.
  49. Y. Zhang, N. Gatsis, and G. B. Giannakis, “Risk-constrained energy management with multiple wind farms,” in Proc. IEEE PES Innovative Smart Grid Technologies Conf., Washington, D.C., Feb. 2013, pp. 1–6.
  50. N. Gatsis and G. B. Giannakis, “Asynchronous subgradient methods with unbounded delays for communication networks,” in Proc. 51st IEEE Conf. Decision and Control, Maui, HI, Dec. 2012, pp. 5870–5875.
  51. Y. Zhang, N. Gatsis, and G. B. Giannakis, “Robust distributed energy management for microgrids with renewables,” in Proc. 3rd IEEE Int. Conf. Smart Grid Communications, Tainan City, Taiwan, Nov. 2012, pp. 510–515.
  52. N. Gatsis and G. B. Giannakis, “Residential demand response with interruptible tasks: Duality and algorithms,” in Proc. 50th IEEE Conf. Decision and Control and European Control Conf., Orlando, FL, Dec. 2011, pp. 1–6.
  53. N. Gatsis and G. B. Giannakis, “Cooperative multi-residence demand response scheduling,” in Proc. 45th Conf. Information Sciences and Systems, Baltimore, MD, Mar. 2011, pp. 1–6.
  54. K. Rajawat, N. Gatsis, S.-J. Kim, and G. B. Giannakis, “Cross-layer design of coded multicast for wireless random access networks,” in /Proc. 45th Conf. Information Sciences and Systems, Baltimore, MD, Mar. 2011, pp. 1–6.
  55. K. Rajawat, N. Gatsis, and G. B. Giannakis, “Cross-layer design of multicast in fading: Network coding and asynchronous subgradients,” in Proc. 3rd IEEE International Workshop on Wireless Network Coding, Boston, MA, June 2010, pp. 1–6.
  56. N. Gatsis, A. Ribeiro, and G. B. Giannakis, “Cross-layer optimization of wireless fading ad-hoc networks,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Taipei, Taiwan, Apr. 2009, pp. 2353–2356.
  57. N. Gatsis, A. G. Marques, and G. B. Giannakis, “Utility-based power control for peer-to-peer cognitive radio networks with heterogeneous QoS constraints,” in Proc. IEEE International Conf. Acoustics, Speech, and Signal Processing, Las Vegas, NV, Mar.–Apr. 2008, pp. 2405–2408.

Papers at Conferences Without Published Proceedings

  1. 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.
  2. 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).
  3. 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.
  4. 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.
  5. 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).
  6. S. Wang, A. Taha, N. Gatsis, and M. Giacomoni, “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.
  7. P. Risbud, N. Gatsis, and A. F. Taha, “Vulnerability Analysis of Smart Grids to GPS Spoofing,” presented at the IEEE PES General Meeting, Portland, OR, Aug. 2018. (Presentation of IEEE Trans. Power Systems paper available on on IEEEXplore and arXiv.)
  8. A. F. Taha, N. Gatsis, B. Dong, A. Pipri, and Z. Li, “Buildings-to-Grid Integration Framework,” presented at the IEEE PES General Meeting, Portland, OR, Aug. 2018. (Presentation of IEEE Trans. Smart Grid paper available on IEEEXplore and arXiv.)
  9. M. Bazrafshan and N. Gatsis, “Comprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,” presented at the IEEE PES General Meeting, Portland, OR, Aug. 2018. (Presentation of IEEE Trans. Power Systems paper available on IEEEXplore and arXiv.)
  10. 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.
  11. 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.
  12. 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 2nd Symposium on the Control of Network Systems (SCONES), Boston, MA, Oct. 2017.
  13. K. K. Castillo-Villar, N. Gatsis, M. Taherkorsandi and M. Bazrafshan, “A Robust Optimization Model for Biofuel Supply Chain Planning Incorporating Biomass Quality Uncertainties,” presented at the INFORMS International Conference, Waikoloa Village, HI, June 2016.
  14. N. Gatsis and M. Bazrafshan, “Stochastic programming models for power flow optimization in electricity distribution networks,” presented at the INFORMS Annual Meeting, San Fransisco, CA, Nov. 2014.
  15. G. Martinez, N. Gatsis, and G. B. Giannakis, “Two-stage stochastic optimization for energy planning in microgrids,” presented at the INFORMS Annual Meeting, Minneapolis, MN, Oct. 2013.
  16. Y. Zhang, N. Gatsis, and G. B. Giannakis, “A stochastic programming approach to power dispatch with renewable energy sources,” presented at the INFORMS Annual Meeting, Minneapolis, MN, Oct. 2013.

Patents

  1. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Real-Time Detection and Mitigation of Time Synchronization Attacks on the Global Positioning System,”  U.S. Patent Application No. 16/227,744, patent filed December 20, 2018.
  2. A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Systems, Methods and Computer Programs for Wireless Local Area Network Localization,” U.S. Patent Application No. 15/784,287, published May 3, 2018 (Publication No. US 2018/0123708 A1).
  3. B. Dong, A. Taha, N. Gatsis, Z. Li, and A. Pipri, “Systems and Methods for Optimizing Building-to-Grid Integration,” U.S. Patent Application No. 16/003,570, patent filed June 8, 2018.

Editorials

  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,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 4, pp. 575-577, Aug. 2018.