Vassilis Kekatos

Elmore Family School of Electrical & Computer Engnr., Purdue University

516 Northwestern Avenue
2063 Wang Hall
West Lafayette, IN 47906
Tel: (765) 494-5486
Email: lastname@purdue.edu

Panorama from San Gorgonio Pass Wind Farm, CA, by Gregg M. Erickson.

Click here to see my google scholar profile.

Preprints

  1. T. Viet Le and V. Kekatos, "Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE," Quantum, (submitted November 2023). [arXiv, pdf]
  2. V. Kekatos and M. K. Singh, "Deep Learning Techniques for Solving Optimal Power Flow Problems," Chapter in Smart Cyber-Physical Power Systems: Challenges and Solutions, Ed. A. Parizad, H. R. Barghaee, and S. Rahman, Wiley and IEEE Series, (under review). [pdf]

Book chapters

  1. G. Cavraro, V. Kekatos, L. Zhang, and G. B. Giannakis, "Learning Power Grid Topologies," in Advanced Data Analytics for Power Systems, Ed. A. Tajer, S. Perlaza, and V. Poor. [pdf]
  2. V. Kekatos, G. Wang, H. Zhu, and G. B. Giannakis, "PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches," in Advances in Power System State Estimation, Ed. Mo El-Hawary. [arXiv]

Journals

  1. S. Gupta, V. Kekatos, and S. Chatzivasileiadis, "Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning," IEEE Trans. on Smart Grid, (early access). [arXiv, pdf]
  2. I. Murzakhanov, S. Gupta, S. Chatzivasileiadis, and V. Kekatos, "Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources," IEEE Trans. on Smart Grid, Vol. 15, No. 1, pp. 312-323, Jan. 2024. [arXiv, pdf]
  3. D. Deka, V. Kekatos, and G. Cavraro, "Learning Distribution Grid Topologies: A Tutorial," IEEE Trans. on Smart Grid, Vol. 15, No. 1, pp. 999-1013, Jan. 2024. [arXiv, pdf]
  4. S. Gupta, A. Mehrizi-Sani, S. Chatzivasileiadis, and V. Kekatos, "Deep Learning for Scalable Optimal Design of Incremental Volt/VAR Control Rules," IEEE Control Systems Letters, Vol. 7, pp. 1957-1962, June 2023. [arXiv, pdf]
  5. M. Jalali, M. K. Singh, V. Kekatos, G. B. Giannakis, and C. C. Liu, "Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes," IEEE Trans. on Smart Grid, Vol. 14, No. 3, pp. 2432-2445, May 2023. [arXiv, pdf]
  6. S. Taheri, V. Kekatos, H. Veeramachaneni, and B. Zhang, "Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models," IEEE Trans. on Smart Grid, Vol. 13, No. 6, pp. 1949-3053, Nov. 2022. [arXiv, pdf]
  7. M. Jalali, V. Kekatos, S. Bhela, H. Zhu, and V. Centeno, "Inferring Power System Dynamics from Synchrophasor Data using Gaussian Processes," IEEE Trans. on Power Systems, Vol. 37, No. 6, pp. 4409-4423, Nov. 2022. [arXiv, pdf]
  8. S. Gupta, V. Kekatos, and M. Jin, "Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach," IEEE Trans. on Smart Grid, Vol. 13, No. 2, pp. 1310-1321, March 2022. [arXiv, pdf]
  9. M. K. Singh, V. Kekatos, and G. B. Giannakis, "Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks," IEEE Trans. on Power Systems, Vol. 37, No. 4, pp. 2833-2846, July 2022. [arXiv, pdf]
  10. S. Taheri, V. Kekatos, and H. Veeramachaneni, "Strategic Investment in Energy Markets: A Multiparametric Programming Approach," IEEE Trans. on Power Systems, Vol. 37, No. 4, pp. 2590-2600, July 2022. [arXiv, pdf, code]
  11. S. Bhela, H. Nagarajan, D. Deka, and V. Kekatos, "Efficient Topology Design Algorithms for Power Grid Stability," IEEE Control Systems Letters, Vol. 6, pp. 1100-1105, June 2021. [arXiv, pdf]
  12. S. Taheri, M. Jalali, V. Kekatos, and L. Tong, "Fast Probabilistic Hosting Capacity Analysis for Active Distribution Systems," IEEE Trans. on Smart Grid, Vol. 12, No. 3, pp. 2000-2012, May 2021. [arXiv, pdf, code]
  13. M. K. Singh and V. Kekatos, "On the Flow Problem in Water Distribution Networks: Uniqueness and Solvers," IEEE Trans. on Control of Network Systems, Vol. 8, No. 1, pp. 462-474, Mar 2021. [arXiv, pdf]
  14. M. K. Singh and V. Kekatos, "Natural Gas Flow Solvers using Convex Relaxation," IEEE Trans. on Control of Network Systems, Vol. 7, No. 3, pp. 1283-1295, Sep 2020. [arXiv, pdf]
  15. M. Jalali, V. Kekatos, N. Gatsis, and D. Deka, "Designing Reactive Power Control Rules for Smart Inverters using Support Vector Machines," IEEE Trans. on Smart Grid, Vol. 11, No. 2, pp. 1759-1770, Mar 2020. [arXiv, pdf, code]
  16. M. K. Singh and V. Kekatos, "Optimal Scheduling of Water Distribution Systems," IEEE Trans. on Control of Network Systems, Vol. 7, No. 2, pp. 711-723, June 2020. [arXiv, pdf]
  17. S. Taheri and V. Kekatos, "Power Flow Solvers for Direct Current Networks," IEEE Trans. on Smart Grid, Vol. 11, No. 1, pp. 634-643, Jan 2020. [arXiv, pdf]
  18. G. Cavraro, A. Bernstein, V. Kekatos, and Y. Zhang, "Real-Time Identifiability of Power Distribution Network Topologies with Limited Monitoring," IEEE Control Systems Letters, Vol. 4, No. 2, pp. 325-330, Apr 2020. [pdf]
  19. S. Bhela, V. Kekatos, and S. Veeramachaneni, "Smart Inverter Grid Probing for Learning Loads: Part I -- Identifiability Analysis," IEEE Trans. on Power Systems, Vol. 34, No. 5, pp. 3527-3536, Sep 2019. [arXiv, pdf]
  20. S. Bhela, V. Kekatos, and S. Veeramachaneni, "Smart Inverter Grid Probing for Learning Loads: Part II -- Probing Injection Design," IEEE Trans. on Power Systems, Vol. 34, No. 5, pp. 3537-3546, Sep 2019. [arXiv, pdf]
  21. G. Cavraro and V. Kekatos, "Inverter Probing for Power Distribution Network Topology Processing," IEEE Trans. on Control of Network Systems, Vol. 6, No. 3, pp. 980-992, Sep 2019. [arXiv, pdf]
  22. G. Cavraro and V. Kekatos, "Graph Algorithms for Topology Identification using Power Grid Probing," IEEE Control Systems Letters, Vol. 2, No. 4, pp. 689-694, Oct 2018. [arXiv, pdf]
  23. S. Gupta, V. Kekatos, and W. Saad, "Optimal Real-Time Coordination of Energy Storage Units as a Voltage-Constrained Game," IEEE Trans. on Smart Grid, Vol. 10, No. 4, pp. 3883-3894, July 2019. [arXiv, pdf]
  24. G. Cavraro, V. Kekatos, and S. Veeramachaneni, "Voltage Analytics for Power Distribution Network Topology Verification," IEEE Trans. on Smart Grid, Vol. 10, No. 1, pp. 1058-1067, Jan. 2019. [arXiv, pdf]
  25. S. Bhela, V. Kekatos, and S. Veeramachaneni, "Enhancing Observability in Distribution Grids using Smart Meter Data," IEEE Trans. on Smart Grid, Vol. 9, No. 6, pp. 5953-5961, Nov 2018. [arXiv, pdf]
  26. L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis, "Two-Timescale Stochastic Dispatch of Smart Distribution Grids," IEEE Trans. on Smart Grid, Vol. 9, No. 5, pp. 4282-4292, Sep 2018. [arXiv, pdf]
  27. L. Zhang, V. Kekatos, and G. B. Giannakis, "Scalable Electric Vehicle Charging Protocols," IEEE Trans. on Power Systems, Vol. 32, No. 2, pp. 1451-1462, Mar. 2017. [arXiv, pdf]
  28. G. Wang, V. Kekatos, A.-J. Conejo, and G. B. Giannakis, "Ergodic Energy Management Leveraging Resource Variability in Distribution Grids," IEEE Trans. on Power Systems, Vol. 31, No. 6, pp. 4765-4775, Nov. 2016. [arXiv]
  29. V. Kekatos, L. Zhang, G. B. Giannakis, and R. Baldick, "Voltage Regulation Algorithms for Multiphase Power Distribution Grids," IEEE Trans. on Power Systems, Vol. 31, No. 5, pp. 3913-3923, Sep. 2016. [arXiv, pdf]
  30. D. Berberidis, V. Kekatos, and G. B. Giannakis, "Online Censoring for Large-Scale Regressions with Application to Streaming Big Data," IEEE Trans. on Signal Processing, Vol. 64, No. 15, pp. 3854-3867, Aug. 2016. [arXiv, pdf]
  31. V. Kekatos, G. B. Giannakis, and R. Baldick, "Online Energy Price Matrix Factorization for Power Grid Topology Tracking," IEEE Trans. on Smart Grid, Vol. 7, No. 7, pp. 1239-1248, May 2016. [arXiv, pdf]
  32. V. Kekatos, G. Wang, A.-J. Conejo, and G. B. Giannakis, "Stochastic Reactive Power Management in Microgrids with Renewables," IEEE Trans. on Power Systems, Vol. 30, No. 6, pp. 3386-3395, Nov. 2015. [arXiv, pdf]
  33. V. Kekatos, Y. Zhang, and G. B. Giannakis, "Electricity Market Forecasting via Low-Rank Multi-Kernel Learning," IEEE Journal of Selected Topics in Signal Process.; Vol. 8, No. 6, pp. 1182-1193, Dec. 2014. [arXiv, pdf]
  34. 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 Mag.; Vol. 30, No. 5, pp. 107-128, Sep. 2013. [arXiv, pdf]
  35. V. Kekatos and G. B. Giannakis, "Distributed Robust Power System State Estimation," IEEE Trans. on Power Systems; Vol. 28, No. 2, pp. 1617-1626, May 2013. [arXiv, pdf]
  36. V. Kekatos, G. B. Giannakis, and B. Wollenberg, "Optimal Placement of Phasor Measurement Units via Convex Relaxation," IEEE Trans. on Power Systems, Vol. 27, No. 3, pp. 1521-1530, Aug. 2012. [pdf]
  37. P. A. Forero, V. Kekatos, and G. B. Giannakis, "Robust Clustering Using Outlier-Sparsity Regularization," IEEE Trans. on Signal Processing, Vol. 60, No. 8, pp. 4163-4177, Aug. 2012. [pdf]
  38. V. Kekatos and G. B. Giannakis, "Sparse Volterra and Polynonial Regression Models: Recoverability and Estimation," IEEE Trans. on Signal Processing, Vol. 59, No. 12, pp. 5907-5920, Dec. 2011. [arXiv, pdf]
  39. V. Kekatos and G. B. Giannakis, "From Sparse Signals to Sparse Residuals for Robust Sensing," IEEE Trans. on Signal Processing, Vol. 59, No. 7, pp. 3355-3368, July 2011. [arXiv, pdf]
  40. A. Lalos, V. Kekatos, and K. Berberidis, "Adaptive Conjugate Gradient DFEs for Wideband MIMO Systems," IEEE Trans. on Signal Processing, Vol. 57, No. 6, pp. 2406-2412, June 2009. [pdf]
  41. V. Kekatos, A. A. Rontogiannis, and K. Berberidis, "Cholesky Factorization-Based Adaptive BLAST DFE for Wideband MIMO Channels," EURASIP Journal on Advances in Signal Processing, Vol. 2007, Art. ID 45789, pp. 1-11. [pdf]
  42. A. A. Rontogiannis, V. Kekatos, and K. Berberidis, "A Square-Root Adaptive V-BLAST Algorithm for Fast Time-Varying MIMO Channels," IEEE Signal Processing Letters, Vol. 13, No. 5, pp. 265-268, May 2006. [pdf]
  43. V. Kekatos, A. A. Rontogiannis, and K. Berberidis, "A Robust Parametric Technique for Multipath Channel Estimation in the Uplink of a DS-CDMA System," EURASIP Journal on Wireless Communications and Networking, Vol. 2006, Art. ID 47938, pp. 1-12. [pdf]

Conferences

  1. S. Liu, H. Zhu, and V. Kekatos, "Data-driven Forced Oscillation Localization using Inferred Impulse Responses," Power Systems Computation Conference (PSCC), Paris, France, June 2024. [arXiv, pdf]
  2. P. Ellinas, V. Kekatos, and G. Tsaousoglou, "Decision-Focused Learning under Decision Dependent Uncertainty for Power Systems with Price-Responsive Demand," Power Systems Computation Conference (PSCC), Paris, France, June 2024. [pdf]
  3. J. Wei, S. Gupta, D. C. Aliprantis, and V. Kekatos, "A Chance-Constrained Optimal Design of Volt/VAR Control Rules for Distributed Energy Resources," North American Power Symposium, Ashville, NC, October 2023. [arXiv, pdf]
  4. S. Gupta and V. Kekatos, "A Quantum Approach for Stochastic Constrained Binary Optimization," in Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, Greece, June 2023. [arXiv, pdf]
  5. Z. Abdeen, R. Jia, V. Kekatos, and M. Jin, "A Theoretical Analysis of Using Gradient Data for Sobolev Training in RKHS," in Proc. IFAC World Congress, Yokohama, Japan, July 2023. [pdf]
  6. M. Jalali, S. Taheri, and V. Kekatos, "Strategic Investment in Energy Markets using Bayesian Optimization," IEEE Power and Energy Society General Meeting, Orlando, FL, July 2023. [pdf]
  7. S. Liu, H. Zhu, and V. Kekatos, "Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study," Hawaii Intl. Conf. on System Sciences (HICCS), Jan. 2023, Maui, HI. [arxiv, pdf]
  8. Z. Abdeen, H. Yin, V. Kekatos, and M. Jin, "Learning Neural Networks under Input-Output Specifications," American Control Conference, Atlanta, GA, June, 2022. [arxiv]
  9. S. Gupta, S. Misra, D. Deka, and V. Kekatos, "DNN-based Policies for Stochastic AC-OPF," Power Systems Computation Conference (PSCC), Porto, Portugal, June 2022 (to appear also in the Elsevier Electric Power Systems Research). [arXiv, pdf]
  10. M. K. Singh and V. Kekatos, "Optimal Power Flow Schedules with Reduced Low-Frequency Oscillations," Power Systems Computation Conference (PSCC), Porto, Portugal, June 2022 (to appear also in the Elsevier Electric Power Systems Research). [arXiv, pdf]
  11. M. K. Singh, S. Taheri, V. Kekatos, K. P. Schneider, and C.-C. Liu, "Joint Grid Topology Reconfiguration and Design of Watt-VAR Curves for DERs," IEEE Power and Energy Society General Meeting, Denver, CO, July 2022. [arXiv, pdf]
  12. M. Jalali, V. Kekatos, S. Bhela, and H. Zhu, "Inferring Power System Frequency Oscillations using Gaussian Processes," IEEE Conf. on Decision and Control (CDC), pp. 3670-3676, Austin, TX, Dec. 2021. [pdf]
  13. M. K. Singh, G. Cavraro, A. Bernstein, and V. Kekatos, "Ripple-Type Control for Enhancing Resilience of Networked Physical Systems," American Control Conference (ACC), New Orleans, LA, May 2021. [pdf]
  14. M. K. Singh, S. Gupta, V. Kekatos, G. Cavraro, and A. Bernstein, "Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks," IEEE Smart Grid Communications, Tempe, AZ, Nov. 2020. [arXiv, pdf]
  15. S. Gupta, V. Kekatos, and M. Jin, "Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints," IEEE Smart Grid Communications, Tempe, AZ, Nov. 2020. [arXiv, pdf]
  16. M. K. Singh and V. Kekatos, "Natural Gas Flow Equations: Uniqueness and an MI-SOCP Solver," American Control Conference (ACC), Philadelphia, PA, July 2019. [arXiv]
  17. S. Bhela, D. Deka, H. Nagarajan, and V. Kekatos, "Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation," American Control Conference (ACC), Philadelphia, PA, July 2019. [pdf]
  18. S. Taheri, V. Kekatos, and G. Cavraro, "An MILP Approach for Distribution Grid Topology Identification using Inverter Probing," IEEE PES PowerTech, Milan, Italy, June 2019. [pdf, arXiv]
  19. M. K. Singh, V. Kekatos, and C.-C. Liu, "Optimal Distribution System Restoration with Microgrids and Distributed Generators," IEEE Power and Energy Society General Meeting, Atlanta, GA, Aug. 2019. [pdf, arXiv]
  20. S. Taheri, V. Kekatos, and H. Veeramachaneni, "Energy Storage Sizing in Presence of Uncertainty," IEEE Power and Energy Society General Meeting, Atlanta, GA, Aug. 2019. [pdf]
  21. A. Garg, M. Jalali, V. Kekatos, and N. Gatsis, "Kernel-Based Learning for Smart Inverter Control," IEEE Global Conf. on Signal and Inf. Process. (GlobalSIP), Symposium on Smart Grids, Anaheim, CA, Nov. 2018. [arXiv, pdf]
  22. S. Bhela, V. Kekatos, and S. Veeramachaneni, "Power Grid Probing for Load Learning: Identifiability over Multiple Time Instances," IEEE Workshop on Comp. Adv. in Multi-Sensor Adaptive Proc. (CAMSAP), Curacao, Dec. 2017. [pdf]
  23. S. Bhela, V. Kekatos, and S. Veeramachaneni, "Power Distribution System Observability with Smart Meter Data," IEEE Global Conf. on Signal and Inf. Process. (GlobalSIP), Symposium on Smart Grids, Montreal, Canada, Nov. 2017. [pdf]
  24. A. Ojha, V. Kekatos, and R. Baldick, "Solving the Natural Gas Flow Problem using Semidefinite Program Relaxation," IEEE Power and Energy Society General Meeting., Chicago, IL, July 2017. [pdf]
  25. S. Bhela, V. Kekatos, L. Zhang, and S. Veeramachaneni, "Enhancing Observability in Power Distribution Grids," IEEE Intl. Conf. on Acoustics, Speech, and Signal Process. (ICASSP), New Orleans, LA, Mar. 2017. [pdf]
  26. S. Gupta and V. Kekatos, "Real-Time Operation of Heterogeneous Energy Storage Units," IEEE Global Conf. on Signal and Inf. Process. (GlobalSIP), Symposium on Smart Grids, Washington, DC, Dec. 2016. [pdf]
  27. L. Zhang, V. Kekatos, and G. B. Giannakis, "A Generalized Frank-Wolfe Approach to Decentralized Electric Vehicle Charging," IEEE Conf. on Decision and Control (CDC), Las Vegas, NV, Dec. 2016; (invited). [pdf]
  28. G. Wang, V. Kekatos, and G. B. Giannakis, "Stochastic Energy Management in Distribution Grids," IEEE Intl. Conf. on Acoustics, Speech, and Signal Process. (ICASSP), Shanghai, China, Apr. 2016. [pdf]
  29. L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis, "Microgrid Dispatch and Price of Reliability Using Stochastic Approximation," IEEE Global Conf. on Signal and Inf. Process. (GlobalSIP), Orlando, FL, Dec. 2015; (student travel award). [pdf]
  30. V. Kekatos, L. Zhang, G. B. Giannakis, and R. Baldick, "Fast Voltage Regulation in Single-Phase Distribution Grids," IEEE Smart Grid Communications, Miami, FL, Nov. 2015. [pdf]
  31. G. Wang, D. Berberidis, V. Kekatos, and G. B. Giannakis, "Online Reconstruction from Big Data via Compressive Censoring," IEEE Global Conf. on Signal and Inf. Process. (GlobalLSIP)., Atlanta, GA, Dec. 2014.
  32. D. Berberidis, G. Wang, G. B. Giannakis, and V. Kekatos, "Adaptive Estimation from Big Data via Censored Stochastic Approximation," Asilomar Conf. on Signals, Systems, and Computers., Pacific Grove, CA, Nov. 2014.
  33. V. Kekatos, G. Wang, and G. B. Giannakis, "Stochastic Loss Minimization for Power Distribution Networks," IEEE North American Power Symposium (NAPS), Pullman, WA, Sep. 2014. [pdf]
  34. V. Kekatos, G. B. Giannakis, and R. Baldick, "Grid Topology Identification using Electricity Prices," IEEE Power and Energy Society General Meeting, Washington, DC, July 2014; (best papers session). [arXiv]
  35. V. Kekatos, Y. Zhang, and G. B. Giannakis, "Kernel Selection for Power Market Inference via Block Successive Upper Bound Minimization," IEEE Int. Conf. on Acoustics, Speech, and Signal Process. (ICASSP), Florence, Italy, May 2014. [pdf]
  36. V. Kekatos, E. Vlachos, D. Ampeliotis, G. B. Giannakis, and K. Berberidis, "A decentralized approach to generalized power system state estimation," IEEE Workshop on Comp. Adv. in Multi-Sensor Adaptive Proc. (CAMSAP), Saint Martin, Dec. 2013. [pdf]
  37. V. Kekatos, Y. Zhang, and G. B. Giannakis, "Low-Rank Kernel Learning for Electricity Market Inference," Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2013. [pdf]
  38. K. Slavakis, Y. Kopsinis, S. Theodoridis, G. B. Giannakis, and V. Kekatos, "Generalized iterative thresholding for sparsity-aware online Volterra system identification," Intl. Symposium on Wireless Communication Systems (ISWCS), Ilmenau, Germany, Aug. 2013. [pdf]
  39. Y. Zhang, N. Gatsis, V. Kekatos, and G. B. Giannakis, "Risk-Aware Management of Distributed Energy Resources," Intl. Conf. on Digital Signal Processing (DSP), Santorini, Greece, Jul. 2013. [arXiv]
  40. V. Kekatos, S. Veeramachaneni, M. Light, and G. B. Giannakis, "Day-Ahead Electricity Market Forecasting," IEEE PES Innovative Smart Grid Technologies (ISGT), Washington, DC, Feb. 2013. [pdf]
  41. V. Kekatos and G. B. Giannakis, "Decentralized Power System State Estimation," IEEE GLOBECOM, Anaheim, CA, Dec. 2012. [pdf]
  42. V. Kekatos and G. B. Giannakis, "Joint Power System State Estimation and Breaker Status Identification," IEEE North American Power Symposium (NAPS), Urbana-Champaign, IL, Sep. 2012. [pdf]
  43. V. Kekatos and G. B. Giannakis, "A Convex Relaxation Approach to Optimal Placement of Phasor Measurement Units," IEEE Workshop on Comp. Adv. in Multi-Sensor Adaptive Proc. (CAMSAP), San Juan, Puerto Rico, Dec. 2011. [pdf]
  44. V. Kekatos and G. B. Giannakis, "Compressed Sensing for Volterra and Polynomial Regression Models," European Signal Proc. Conf. (EUSIPCO), Barcelona, Spain, Aug. 2011. [pdf]
  45. P. A. Forero, V. Kekatos, and G. B. Giannakis, "Outlier-Aware Robust Clustering," IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011. [pdf]
  46. G. B. Giannakis, G. Mateos, S. Farahmand, V. Kekatos, and H. Zhu, "USPACOR: Universal Sparsity-Controlling Outlier Rejection," IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011. [pdf]
  47. V. Kekatos and G. B. Giannakis, "Robust Layered Sensing: From Sparse Signals to Sparse Residuals," of 44th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2010. [pdf]
  48. V. Kekatos and G. B. Giannakis, "Selecting Reliable Sensors via Convex Optimization," IEEE Int. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Marrakech, Morocco, June 2010. [pdf]
  49. V. Kekatos, D. Angelosante, and G.B. Giannakis, "Sparsity-Aware Estimation of Nonlinear Volterra Kernels," IEEE Workshop on Comp. Adv. in Multi-Sensor Adaptive Proc. (CAMSAP), Aruba, Dutch Antilles, Dec. 2009. [pdf]
  50. V. Kekatos, A. Lalos, and K. Berberidis, "Adaptive Conjugate Gradient DFEs for Wideband MIMO Systems using Galerkin Projections," IEEE Vehicular Technology Conf. (VTC), Baltimore, MD, Oct. 2007. [pdf]
  51. V. Kekatos, K. Berberidis, and A. A. Rontogiannis, "A Block Adaptive Frequency Domain MIMO DFE for Wideband Channels," IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, HI, Apr. 2007. [pdf]
  52. A. A. Rontogiannis, V. Kekatos, and K. Berberidis, "An Adaptive Decision Feedback Equalizer for Time-Varying Frequency Selective MIMO Channels," IEEE Int. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, July 2006. [pdf]
  53. A. A. Rontogiannis, V. Kekatos, and K. Berberidis, "A Square-Root Adaptive V-BLAST Algorithm for Fast Time-Varying MIMO Channels," IEEE Int. Conf. on Communications (ICC), Istanbul, Turkey, June 2006. [pdf]
  54. A. Kounoudes, V. Kekatos, and S. Mavromoustakos, "Voice Biometric Authentication for Enhancing Internet Service Security", IEEE Intl. Conf. on Inf. Comm. Tech. (ICCT), Oct. 2006.
  55. V. Kekatos, A. A. Rontogiannis, and K. Berberidis, "A Robust Method for Estimating Multipath Channel Parameters in the Uplink of a DS-CDMA System", IEEE Vehicular Technology Conf. (VTC), Stockholm, Sweeden, June 2005. [pdf]