Peer-reviewed Journal Papers (* equal contribution)
updated March 27, 2025
J47. Mohammad Reza Doostmohammadian and Sérgio Pequito, Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks, IEEE Control Systems Letters, October 2024
J46. Mohammad Shokri, Lorenzo Lyons, Sérgio Pequito, Laura Ferranti, Battery Identification With Cubic Spline and Moving Horizon Estimation for Mobile Robots, IEEE Transactions on Control Systems Technology, September 2024
J45. Guilherme Ramos, A. Pedro Aguiar, Sérgio Pequito, Minimum jointly structural input and output selection, Automatica, July 2024
J44. Jingwei Dong, K Pan, Sérgio Pequito, PM Esfahani, Robust Multivariate Detection and Estimation with Fault Frequency Content Information, Automatica, October 2024
J43. Guilherme Ramos, A. Pedro Aguiar, Soummya Kar, and Sérgio Pequito, Privacy preserving average consensus through network augmentation, IEEE Transactions on Automatic Control, November 2023
J42. Emily Reed, Guilherme Ramos, Paul Bogdan, and Sérgio Pequito, The Role of Long-Term Power-Law Memory in Controlling Large-Scale Dynamical Networks, Scientific Reports, November 2023
J41. Mohammad Shokri, Alex Gogliettino, Pawel Hottowy, Alexander Sher, Alan M Litke, E.J. Chichilnisky, Sérgio Pequito, and Dante Muratore, Spike Sorting in the Presence of Stimulation Artifacts: A Dynamical Control Systems Approach, Journal of Neural Engineering, November 2023
J40. Guilherme Ramos and Sérgio Pequito, Designing communication networks for discrete-time consensus for performance and privacy guarantees, Systems & Control Letters, Oct. 2023
[Elsevier]
J39. Sérgio Pequito, Erfan Nozari, Fabio Pasqualetti, Special Section on Analysis and control design for neurodynamics, Annual Reviews in Control, Nov. 2022
[Elsevier]
J38. Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito, A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks, IEEE Transactions on Automatic Control, in Sept. 2022
[IEEE]
J37. Arian Ashourvan, Sérgio Pequito, Max Bertolero, Jason Z. Kim, Danielle Bassett, and Brian Litt, External drivers of BOLD signal’s non-stationarity, Plos One, Sept. 2022
[PLoS]
J36. Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito, Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs, Automatica, December 2022
[Elsevier]
J35. Max Sibeijn, and Sérgio Pequito, A time-reversed model selection approach to time series forecasting, to appear in Scientific Reports, Jun. 2022
[Nature]
J34. Emily Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito, Fractional cyber-neural systems — A brief survey, Annual Reviews in Control, Jun. 2022
[Elsevier]
J33. Ishita Rai Bansal, Arian Ashourvan, Maxwell Bertolero, Danielle S. Bassett, Sérgio Pequito, Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal, PLoS One, May 2022
[PLoS]
J32. Sarthak Chatterjee, Andrea Alessandretti, A. Pedro Aguiar, Sérgio Pequito, Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation, IEEE Transactions on Control of Network Systems, Apr. 2022
[IEEE]
J31. Guilherme Ramos, A. Pedro Aguiar, and Sérgio Pequito, An overview of structural systems theory, Automatica, Jun. 2022
[Elsevier]
J30. Emily A. Reed, Paul Bogdan, Sérgio Pequito, Quantification of fractional dynamical stability of EEG signals as a bio-marker for cognitive motor control, Frontiers in Control Engineering, Dec. 2021
J29. Sarthak Chatterjee, Subhro Das, and Sérgio Pequito, NEO: NEuro-inspired Optimization-A Fractional Time Series Approach, Frontiers in Physiology, Sept. 2021
J28. Pedro Ferreira, Francisco A. Santos, and Sérgio Pequito, Cumulative Prospect Theory and Theory of Mind in Coordination Dilemmas, PLoS Computational Biology, July 2021
[PLoS]
J27. Sarthak Chatterjee, Orlando R. Romero, and Sérgio Pequito, Analysis of a Generalized Expectation-Maximization Algorithm for Gaussian Mixture Models: A Control Systems Perspective, International Journal of Control, May 2021
J26. Guilherme Ramos, A. Pedro Aguiar, and Sérgio Pequito, Structurally quotient fixed modes, Systems & Control Letters, 2021
[Elsevier]
J26. Guilherme Ramos, A. Pedro Aguiar, and Sérgio Pequito, Structurally quotient fixed modes, Systems & Control Letters, 2021
[Elsevier]
J25. Sarthak Chatterjee, Orlando Romero, Arian Ashourvan, and Sérgio Pequito, Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy, Journal of Neural Engineering, 2020
[IOP]
J23. Panagiotis Kyriakis, Sérgio Pequito, and Paul Bogdan, On the Effects of Memory and Topology on the Controllability of Complex Dynamical Networks, Scientific Reports, 2020
[Nature]
J22. Guilherme Ramos and Sérgio Pequito, Generating complex networks with time-to-control communities, PLoS One, 2020
[PLoS]
J21. Ana Duque, Sérgio Pequito, and Jennifer Pazour, Towards Green Fashion Design: A Systems Engineer Perspective, Journal of Cleaner Production, 2020
[Elsevier]
J20. Qi Cao, Guilherme Ramos, Paul Bogdan, and Sérgio Pequito, On the actuation spectrum of spatiotemporal networks with power-law time dependencies, Special Issue on Network Dynamics and Control, Advances in Complex Systems, 2020
[WS]
J19. Cassiano O. Becker, Sérgio Pequito, George J. Pappas, and Victor M. Preciado, Network Design for Controllability Metrics, IEEE Transactions on Control of Network Systems, 2020
J17. Andrea Alessandretti, Sérgio Pequito, George J. Pappas, and A. Pedro Aguiar, On the finite-dimentional control of discrete-time fractional order systems, Automatica, 2020
[ArXiV]
J16. Guilherme Ramos, Sérgio Pequito, and Carlos Caleiro, On the index of convergence of Boolean matrices, International Journal of Control, 2019
J13. Nipun Popli*, Sérgio Pequito*, Soummya Kar, A. Pedro Aguiar, and Marija Ilic, Selective Strong Structural Minimum Cost Resilient Co-Design for Regular Descriptor Linear Systems, Automatica, 2018
[arXiv]
J12. Orlando Romero and Sérgio Pequito, Actuator Placement for Symmetric Structural Controllability with Heterogeneous Costs, IEEE Control Systems Letters, 2018
[IEEE]
J11. Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor Preciado, Minimal Edge Addition for Network Controllability, IEEE Transactions on Control of Network Systems, Mar. 2018
[arXiv]
J10. Vasileios Tzoumas, Yuankun Xue, Sérgio Pequito, Paul Bogdan, and George J. Pappas, Selecting Sensors in Biological Fractional-Order Systems, IEEE Transactions on Control of Network Systems Special issue on Approaches to Control Biological and Biologically Inspired Networks, 2018
[IEEE]
J9. Cassiano Becker*, Sérgio Pequito*, George J. Pappas, Michael B. Miller, Scott F. Grafton, Danielle Bassett, and Victor M. Preciado, Accurately Predicting Functional Connectivity from Diffusion Imaging, Scientific Reports, January 2018
[Nature]
J8. Sérgio Pequito*, Guilherme Ramos*, Soummya Kar, A. Pedro Aguiar, and Jaime Ramos, The Robust Minimal Controllability Problem, Automatica, August 2017
J6. Sérgio Pequito and George J. Pappas, Structural Minimum Controllability Problem for Linear Continuous-Time Switching Systems, Automatica, April 2017
J5. Sérgio Pequito, Victor Preciado, Albert-László Barabási and George J. Pappas, Trade-offs between driving nodes and time-to-control in complex networks, Scientific Reports, January 2017
[Nature]
J4. João Frederico Carvalho*, Sérgio Pequito*, A. Pedro Aguiar, Soummya Kar, and Karl Johansson, Composability and controllability of structural linear time-invariant systems: Distributed verification, Automatica, April 2017
J3. Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar, Minimum cost input/output design for large-scale linear structural systems, Automatica, June 2016
J2. Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar, On the Complexity of the Constrained Input Selection Problem for Structural Linear Systems, Automatica, December 2015
Peer-reviewed Conference Papers (* equal contribution)
updated November 1, 2023
C54. Guilherme Ramos, André M. H. Teixeira, and Sérgio Pequito, On the trade-offs between accuracy, privacy, and resilience in average consensus algorithms, Proceedings of the 62nd IEEE Conference on Decision and Control, December 2023
C53. Max Sibeijn, and Sérgio Pequito, Discrete-time Linear Time-invariant Distributed Minimum Energy Estimator, Proceedings of the 22nd IFAC World Congress, July 2023
C52. Emily Reed, Guilherme Ramos, Paul Bogdan, and Sérgio Pequito, Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems, to appear in Proceedings of the 2023 American Control Conference, May 31 - June 2, 2023
C51. Sarthak Chatterjee, and Sérgio Pequito, On Learning Discrete-Time Fractional- Order Dynamical Systems, Proceedings of the 2022 American Control Conference, 8-10 June, 2022
C50. Sarthak Chatterjee, and Sérgio Pequito, IF: Iterative Fractional Optimization, Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 6-8 October, 2021
C49. Panagiotis Kyriakis, Sérgio Pequito, and Paul Bogdan, On the Stability and Fairness of Submodular Allocations, in Proc. of the 59th IEEE Conference on Decision and Control, 2020
C48. Matilde T. Farinha, Sérgio Pequito, Pedro Santos, and Mario T. Figueiredo, Equilibrium propagation in complete direct graphs, in the Proc. of the 2020 European Symposium on Artificial Neural Networks
C47. Panagiotis Kyriakis, Sérgio Pequito, and Paul Bogdan, Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory, in Proc. of the 2020 American Control Conference
C46. Orlando Romero, Sarthak Chatterjee, and Sérgio Pequito, Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation, in Proc. of the 2020 American Control Conference
[ArXiv]
C44. Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor M. Preciado, Resilient Structural Stabilizability of Undirected Networks, in Proc. of the 2019 American Control Conference
[arXiv]
C43. Gaurav Gupta, Paul Bogdan, and Sérgio Pequito, Learning Latent Fractional Dynamics with Unknown Unknowns, in Proc. of the 2019 American Control Conference
[arXiv]
C42. Orlando Romero Rodrigues, Sarthak Chatterjee, and Sérgio Pequito, Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory, in Proc. of the 2019 American Control Conference
[arXiv]
C41. Sarthak Chatterjee and Sérgio Pequito, Dealing with State Estimation in Fractional-Order Systems under Artifacts, in Proc. of the 2019 American Control Conference
[arXiv]
C40. Orlando Romero and Sérgio Pequito, Actuator Placement for Symmetric Structural Controllability with Heterogeneous Costs, in Proc. of the 57th IEEE Conference on Decision and Control, 2018
[IEEE]
C39. Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor Preciado, Structural Target Controllability of Undirected Networks, in Proc. of the 57th IEEE Conference on Decision and Control, 2018
C37. Orlando Romero Rodrigues and Sérgio Pequito, Tight Near-optimality Guarantees for the Greedy Algorithm in Sensor Selection, in Proc. of the 2018 IISE Annual Conference
C36. Guilherme Ramos, Sérgio Pequito, and Carlos Caleiro, The robust minimal controllability problem for switched linear continuous-time systems, in Proc. of the 2018 American Control Conference
C35. Gaurav Gupta, Sérgio Pequito, and Paul Bogdan, Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs, in Proc. of the 2018 American Control Conference
[ArXiv]
C34. Gaurav Gupta, Sérgio Pequito, and Paul Bogdan, Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis, in Proc. of the 9th ACM/IEEE International Conference on Cyber-Physical System, 2018
[ArXiv]
C33. Anastasios Tsiamis, Sérgio Pequito, George Pappas, Distributed Leader Selection in Switching Networks of High-order Integrators, in Proc. of the 55th Annual Allerton Conference on Communication, Control, and Computing, 2017
C32. Andreea B. Alexandru, Sérgio Pequito, Ali Jadbabaie, George J. Pappas, On the Limited Communication Analysis and Design for Decentralized Estimation, in Proc. of the 56th IEEE Conference on Decision and Control, 2017
[ArXiv]
C31. Cassiano Becker, Sérgio Pequito, George Pappas, and Victor Preciado, Network Design for Controllability Metrics, in Proc. of the 56th IEEE Conference on Decision and Control, 2017
C30. Sérgio Pequito, Arian Ashourvan, Danielle Bassett, Brian Litt, and George J. Pappas, Spectral Control of Cortical Activity, in Proc. of the 2017 American Control Conference
C29. Sérgio Pequito, Andrew Clark, and George J. Pappas, Discrete-time Fractional-order Multiple Scenario-based Sensor Selection, in Proc. of the 2017 American Control Conference
C28. Cassiano Becker, Sérgio Pequito, George Pappas, and Victor Preciado, Approximation of Network Linear Operators using Similarity Shift Filters, in Proc. of the 4th IEEE Global Conference on Signal and Information Processing
C27. Andreea B. Alexandru, Sérgio Pequito, Ali Jadbabaie, and George J. Pappas, Ensuring Decentralized Observability with Limited Communication between Sensors, in Proc. of the 55th IEEE Conference on Decision and Control
C26. Yuankun Xue, Sérgio Pequito, Joana M. Coelho, Paul Bogdan, and George Pappas, Minimum Number of Sensors to Ensure Observability of Physiological Systems: a Case Study, in Proc. of the 54th Annual Allerton Conference on Communication, Control, and Computing
C25. Sérgio Pequito, Ankit N. Khambhati, George J. Pappas, Dragoslav D. Siljak, Danielle Bassett, and Brian Litt, Structural Analysis and Design of Dynamic-Flow Networks: Implications in the Brain Dynamics, in Proc. of the 2016 American Control Conference
C24. Sérgio Pequito, Paul Bogdan, and George J. Pappas, Minimum Number of Probes for Brain Dynamics Observability, in Proc. of the 54th IEEE Conference on Decision and Control
[ArXiv]
C23. Sérgio Pequito, Victor Preciado, and George J. Pappas, Distributed Leader Selection, in Proc. of the 54th IEEE Conference on Decision and Control
C22. João Frederico Carvalho, Sérgio Pequito, Pedro Aguiar, Soummya Kar, and George J. Pappas, Static Output Feedback: On Essential Feasible Information Patterns, in Proc. of the 54th IEEE Conference on Decision and Control
[ArXiv]
C21. Sérgio Pequito, James Svacha, George J. Pappas, and Vijay Kumar, Sparsest Minimum Multiple-Cost Structural Leader Selection, in Proc. of the 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems
C20. Guilherme Ramos, Sérgio Pequito, A. Pedro Aguiar, Jaime Ramos, and Soummya Kar, Analysis and design of p-robustness power electric grid: A Structural Hybrid System Approach, in Proc. of the 2015 European Control Conference, Linz, Austria
C19. Sérgio Pequito and George J. Pappas, Smart Building: A Private Cyber-Physical System Approach, in Proc. of the Second International Workshop on the Swarm at the Edge of the Cloud (SWEC 2015), Seattle, Washington, in conjunction with CPSWeek
C17. Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar, Minimum Number of Information Gatherers to Ensure Full Observability of a Dynamic Social Network: A Structural Systems Approach, in Proc. of theIEEE 2014 Global Conference on Signal and Information Processing, December 3-5, 2014. Atlanta, Georgia, USA
C16. Sérgio Pequito, Soummya Kar, Shreyas Sundaram, and A. Pedro Aguiar, Design of Communication Networks for Distributed Computation with Privacy Guarantees, in Proc. of the 53nd IEEE Conference on Decision and Control, Los Angeles, US, Dec. 2014
C15. Pedro Rocha*, Sérgio Pequito*, A. Pedro Aguiar, Paula Rocha, and Soummya Kar, Sensor placement for real-time dynamic state estimation in power systems: Structural systems approach, in Proc. of the Asilomar 2014, Pacific Grove, California, US, Nov. 2014
C14. Sérgio Pequito, Francisco Rego, Soummya Kar, A. Pedro Aguiar, António Pascoal, and Colin Jones, Optimal Design of Observable Multi-Agent Networks: A Structural System Approach, in Proc. of the 13th European Control Conference, Strasbourg, June 24-27, 2014
C13. Sérgio Pequito, Nipun Popli, Soummya Kar, Marija D. Ilic, and A. Pedro Aguiar, A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability, in Proc. of the 5th IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing, Saint Martin, Dec. 2013.
C12. Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar, Minimum Cost Input-Output and Control Configuration Selection: A Structural Systems Approach, in Proc. of the 52nd IEEE Conference on Decision and Control, Florence, Italy, Dec. 2013
C11. Guilherme Ramos, Sérgio Pequito, A. Pedro Aguiar, Jaime Ramos, and Soummya Kar, A Model Checking Framework for Linear Time Invariant Switching Systems using Structural Systems Analysis, in Proc. of the 51st Annual Allerton Conference on Communication, Control, and Computing, University of Illinois at Urbana-Champaign, Illinois, USA, Oct. 2013.
C10. Sérgio Pequito, Clarence Agbi, Nipun Popli, Soummya Kar, A. Pedro Aguiar, and Marija Ilic, Designing Decentralized Control Systems without Structural Fixed Modes: A Multilayer Approach, in Proc. of the 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Koblenz, Germany, Sep. 2013.
C9. Xiaofei Liu, Sérgio Pequito, Soummya Kar, Yilin Mo, Bruno Sinopoli, and A. Pedro Aguiar, Minimum Robust Sensor Placement for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach, in Proc. of the 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Koblenz, Germany, Sep. 2013.
C8. Sérgio Pequito, Stephen Kruzick, Soummya Kar, José M. F. Moura, and A. Pedro Aguiar, Optimal Design of Distributed Sensor Networks for Field Reconstruction, in Proc. 21st European Signal Processing Conference, Marrakech, Marocco, Sep. 2013.
C7. Joya Deri, Sérgio Pequito, Soummya Kar, and José M.F. Moura, Identifying Small Subsets of Agents for Behavior Tracking and Abnormal Event Detection in Dynamic Networks, in Proc. of the Workshop on Dynamic Networks Management and Mining 2013
C6. Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar, Optimal Cost Actuator/Sensor Placement for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach, in Proc. of ECC’13 - European Control Conference, Zurich, Switzerland, Jul. 2013
C5. Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar, A Structured Systems Approach for Optimal Actuator-Sensor Placement in Linear Time-Invariant Systems, in Proc. of ACC’13 - American Control Conference, Washington, DC, Jun. 2013
C4. Sérgio Pequito, Qixing Liu, Soummya Kar, and Marija Ilic, PMU Placement to Ensure Observable Frequency and Voltage Dynamics: A Structured System Approach, in Proc. of the 36th Annual Hawaii International Conference on System Sciences, 2013 , pp. 2327-2336, 7-10 Jan. 2013
C3. Sérgio Pequito, A. Pedro Aguiar,B. Sinopoli, and Diogo A. Gomes, Unsupervised Learning of Finite Mixture using Mean Field Games, in Proc. of the 9th Allerton Conference on Communication, Control and Computing, September 27-30, 2011, Illinois, US
C2. Sérgio Pequito, A. Pedro Aguiar, B. Sinopoli, and Diogo A. Gomes, Nonlinear Estimation using Mean Field Games, in Proc. of the International Conference on NETwork Games, COntrol and Optimization, Netgcoop 2011, October 12-14, 2011, Paris, France
C1. Sérgio Pequito, A. Pedro Aguiar, and Diogo A. Gomes, The Entropy Penalized Minimum Energy Estimator, in Proc. of the 48th IEEE Conference on Decision and Control, CDC 2009, combined with the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China (Best student paper award finalist)
Posters (* equal contribution)
updated November 1, 2023
Po14. Emily Reed, Yaoyue Wang, Khaled Al-Zamel, Paul Bogdan, Sérgio Pequito, and Arian Ashourvan, Fractional-order model-based framework for seizure detection and mitigation in medically refractory epilepsy, Neuroscience, 11-15 November, 2023
Po13. Sarthak Chatterjee, and Sérgio Pequito, IF: Iterative Fractional Optimization, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 6-8 October 2021
Po12. Ana Duque, Jennifer Pazour, and Sérgio Pequito, Toward Green Fashion Design: A Systems Engineer’s Perspective, INFORMS, Oct., 2019
Po11. Ana Duque, Jennifer Pazour, and Sérgio Pequito, Toward Green Fashion Design: A Systems Engineer’s Perspective, RPI Research Symposium, Apr., 2019 (Best Poster Award)
Po10. Arian Ashourvan, Sérgio Pequito, Maxwell Bertolero, Jason Z. Kim, Danielle S. Bassett, and Brian Litt, A dynamical systems framework to uncover the drivers of large-scale cortical activity, Organization for Human Brain Mapping (2019)
Po9. O. Romero, Sérgio Pequito, S. Das, and P. Chen, A Dynamical and Control Systems Perspective Approach Towards Trustworthy Learning Systems, IBM AI Research Week, Cambridge MA, Sept., 2019
Po8. Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett, Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination, Society for Neuroscience, Nov., 2017
Po7. O. Romero and Sérgio Pequito, A Fractional-Order MPC Framework for Electrical Neurostimulation in Epilepsy, 7th Minnesota Neuromodulation Symposium, Minneapolis MN, Apr., 2019
Po6. O. Romero, S. Chaterjee, and Sérgio Pequito, From Dempster to Lyapunov: A Dynamical Systems Perspective, IBM-RPI AI Research Collaboration Poster Social, RPI, Feb., 2019
Po5. Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett, Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination, American Epilepsy Society (2018)
Po4. Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett, Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination, International Conference on Technology and Analysis for Seizures (2017)
Po3. Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett, Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination, ICTALS2017: Designing the next generation of closed-loop seizure control
Po2. Cassiano O. Becker, Sérgio Pequito, George J. Pappas, and Victor M. Preciado, Approximation of network linear operators using similarity shift filters, GlobalSIP 2016
Po1. Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett, and Victor M. Preciado, Using spectral graph theory to relate white matter with resting-state functional connectivity in the brain, DIG’s 8th Annual Research Symposium 2016 (Best Poster Award)
Technical Reports (* equal contribution)
updated June 25, 2022
TR2. Ana Gabriela Duque, Sérgio Pequito, Joana Rosado Coelho, Revisiting statistical analysis curriculum in a data era: a learning-by-mistake approach, Technical Report, TU Delft
TR1. Xiaofei Liu*, Sérgio Pequito*, Soummya Kar, Bruno Sinopoli and A. Pedro Aguiar, Minimum Sensor Placement for Robust Observability of Structured Complex Networks,Technical Report, Carnegie Mellon University
[arXiv]
Other Publications
updated June 25, 2022
D1. Sérgio Pequito, A Structural Approach to Design, Analysis, and Optimization of Large-Scale Dynamical Systems, Ph.D. Dissertation, Department of Electrical and Computer Engineering, Carnegie Mellon University, US & Instituto Superior Técnico, University of Lisbon, Portugal July 2014
[summary]
T1. Sérgio Pequito, The Entropy Penalized Minimum Energy Estimator, M.Sc. Thesis, Department of Mathematics Instituto Superior Técnico, University of Lisbon, Portugal July 2009
F1. Sérgio Pequito, The perceptron: from neural models to their computability, B.Sc. Final Project, Department of Mathematics Instituto Superior Técnico, University of Lisbon, Portugal July 2007
Patents
updated October 31, 2023
Pa4. Mohammad Shokri, Dante Muratore and Sérgio Pequito, Spike Sorting in the Presence of Stimulation Artifacts in High-Density Neural Interface, Dutch patent application No. 2036134, October 2023
Pa3. Emily Reed, Guilherme Ramos, Paul Bogdan, and Sérgio Pequito, Stabilizing Linear Fractional-Order Dynamical Networks and Its Implications in Mitigating Epilepsy, US Patent Application No. 63/352,119, Jan. 2023
Pa2. Sarthak Chatterjee, Orlando Romero, and Sérgio Pequito, Fractional-Order Model Predictive Control for Electrical Neurostimulation in Epilepsy, patent US20210315527A1 with the US Patent Office, Oct. 2021
Pa1. Sérgio Pequito and George J. Pappas, Neuroshaper for Treating Epilepsy, Provisional patent filed (2015-2017)