Main > TBB29
Thiago Burghi
Background -
Research -
Publications
Position: Research Associate
Office Location: BN4-86
E-mail: tbb29 [at] cam.ac.uk
Principal Investigator: Dr Timothy O'Leary
Background
2012: BSc Automation and Control Engineering (University of Campinas, Brazil)
2012: Diplôme d'Ingénieur (École Nationale Supérieure de Techniques Avancées, France)
2014: Msc Mechanical Engineering (University of Campinas, Brazil)
2020: PhD Feedback for neuronal system identification (University of Cambridge, UK)
Research Interests
Neuronal systems; Deep learning; Adaptive control; Nonlinear system identification; Nonlinear systems analysis; Differential analysis.
Publications
Journal papers
R. Schmetterling, T. B. Burghi, and R. Sepulchre. “Adaptive Conductance Control”. Accepted for publication at IFAC Annual Reviews in Control, December 2021.
T. B. Burghi and R. Sepulchre, “
Online estimation of biophysical neural networks”. Preprint; in review, IEEE Transactions on Automatic Control, November 2021.
C. Toschi, M. H. El-Sayed, T. B. Burghi, T. Sell, P. Moazen, L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, “
Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task”. Under review, Brain and Neuroscience Advances, October 2021.
C. Grussler, T.B. Burghi, and S. Sojoudi, “
Internally Hankel $k$-positive systems”
. Preprint; accepted for publication, SIAM Journal on Control and Optimization, March 2021.
T. B. Burghi, M. Schoukens, and R. Sepulchre. “
Feedback identification of conductance-based models”. Automatica 123, Article 109297
, January 2021.
Conference papers
T. B. Burghi, Timothy O'Leary, and R. Sepulchre. “ Distributed online estimation of biophysical neural networks”
. Preprint; in review, 61st IEEE Conference on Decision and Control (CDC 2022).
J. G. Lee, T. B. Burghi, and R. Sepulchre. “Induced contraction”. Under review, 61st IEEE Conference on Decision and Control (CDC). Mar. 2022.
J. G. Lee and T. B. Burghi. “Funnel control by induced contraction”. Under review, 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS). Feb. 2022.
T. B. Burghi, M. Schoukens, and R. Sepulchre. “
System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – December 2020, Jeju Island, South Korea.
T. B. Burghi, M. Schoukens, and R. Sepulchre. “
Feedback for Nonlinear System Identification”. 18th European Control Conference (ECC 2019) – June 2019, Naples, Italy.
T. B. Burghi, J. Iossaqui, J. Camino, “Stability analysis of perturbed nonlinear systems applied to the trajectory control of a wheeled mobile robot subject to lateral slip ”. Proceedings of the 17
th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.
Conference posters
T. B. Burghi, E. Morozova, S. Kedia, E. Marder, and T. O'Leary. "Learning a biophysical neural model during the time frame of an experiment." FENS Forum 2022 (Federation of European Neuroscience Societies). Feb. 2022.
T. B. Burghi and Rodolphe Sepulchre. “Identification of Excitable Neuronal Systems”. 27th Annual Computational Neuroscience Meeting (CNS*2018) – July 2018, Seattle, WA, United States.
Talks
“Identification of Excitable Neuronal Systems”. 27th European Research Network on System Identification (ERNSI) Workshop – September 2018, Cambridge, United Kingdom.
