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IT Member Profile

... Augusto José Rabelo Almeida Santos

Researcher

Augusto Santos

Academic position: Researcher
Joining date: 01-04-2023
Roles in IT: Researcher
Thematic Line: Information and Data Sciences
Group: Pattern and Image Analysis – Lx

Email: Send Email
Address: IT – Lisboa
Instituto Superior Técnico - Torre Norte - Piso 10
Av. Rovisco Pais, 1
1049 - 001 Lisboa
Tel: +351 21 841 84 54
Fax: +351 21 841 84 72

Alternative Personal Web Page

CienciaID
http://www.cienciavitae.pt/5115-8878-DD12

SCHOLAR

Bio

I am a Researcher with the Instituto de Telecomunicações - IT, Portugal. I am currently working at the intersection of Data Science, Dynamical Systems, Machine Learning, Artificial Intelligence and Network Science. In particular, I am mostly interested in applying ML and AI tools to unveil causal structure from data within the scope of high-dimensional Networked Dynamical Systems.

I obtained my BSc. and MSc. from Instituto Superior Técnico (IST), Lisbon-Portugal, and Ph.D from Carnegie Mellon University, Pittsburgh-USA, and IST all in Electrical and Computer Engineering. I held a 2-year Postdoctoral scholar position at Carnegie Mellon University and another 2-year at the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne-Switzerland.

Acknowledgement. Our group's main goal is to devise a principled ML/AI-based platform for structure learning high dimensional networked dynamical systems under distinct dynamical laws and broad regimes of observability, network connectivity and noise structure. The project is partially supported by the U.S. National Science Foundation (NSF) under the Grant CCF-2327905 and Fundação para a Ciência e a Tecnologia (FCT), Portugal, under the project UIDB/50008/2020.

Scientific Achievements

  • PhD, Instituto Superior Técnico, 09-09-2014
  • MSc, Instituto Superior Técnico, 28-10-2008
  • Licenciatura, Instituto Superior Técnico, 01-09-2007
  • École Polytechnique Fédérale de Lausanne, 01-08-2017 - 31-07-2019, Postdoctoral Researcher
  • Carnegie Mellon University, 01-06-2015 - 31-07-2017, Postdoctoral Researcher
  • Causal Inference
  • Structure Learning
  • Networked Dynamical Systems
  • Network/Data Science
  • Machine Learning
8Papers in Journals
  • N. Phong, A. S. Santos, B. Ribeiro Ribeiro, PSO-Convolutional Neural Networks With Heterogeneous Learning Rate, IEEE Access, Vol. 10, No. 22014277, pp. 89970 - 89988, August, 2022,
    | Abstract     | BibTex
  • V. Matta, A. S. Santos, A. Sayed, Graph Learning Over Partially Observed Diffusion Networks: Role of Degree Concentration, IEEE Open Journal of Signal Processing, Vol. 3, No. 22089215, pp. 335 - 371, July, 2022,
    | Abstract     | BibTex
  • V. Matta, A. S. Santos, A. Sayed, Graph Learning Under Partial Observability, Proceedings of the IEEE, Vol. 108, No. 11, pp. 2049 - 2066, November, 2020,
    | Abstract     | BibTex
  • V. Matta, V. Bordignon, A. S. Santos, A. Sayed, Interplay Between Topology and Social Learning Over Weak Graphs, IEEE Open Journal of Signal Processing, Vol. 1, No. 20067824, pp. 99 - 119, July, 2020,
    | Abstract     | BibTex
  • R. Liégeois, A. S. Santos, V. Matta, D. Ville, A. Sayed, Revisiting correlation-based functional connectivity and its relationship with structural connectivity, Network Neuroscience, Vol. 4, No. 4, pp. 1235 - 1251, January, 2020,
    | Abstract     | BibTex
  • A. S. Santos, V. Matta, A. Sayed, Local Tomography of Large Networks Under the Low-Observability Regime, IEEE Transactions on Information Theory, Vol. 66, No. 1, pp. 587 - 613, January, 2020,
    | Abstract     | BibTex
  • A. S. Santos, M. Nogueira, J. Moura, A Stochastic Adaptive Model to Explore Mobile Botnet Dynamics, IEEE Communications Letters, Vol. 21, No. 4, pp. 753 - 756, April, 2017,
    | Abstract     | BibTex
  • A. S. Santos, J. Moura, J. Xavier, Bi-Virus SIS Epidemics over Networks: Qualitative Analysis, IEEE Transactions on Network Science and Engineering, Vol. 2, No. 1, pp. 17 - 29, January, 2015,
    | Abstract     | BibTex
14Papers in Conferences
  • A. S. Santos, D. Rente, R. S. Seabra, J. Moura, Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, South, Vol., pp. -, April, 2024,
    | Abstract     | BibTex
  • A. S. Santos, D. Rente, R. S. Seabra, J. Moura, Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise, AAAI The 38th AAAI Conference on Artificial Intelligence, Vancouver, Canada, Vol., pp. -, February, 2024,
    | Abstract     | BibTex
  • S. Machado, A. Sridhar, P. Gil, J. Henriques, J. Moura, A. S. Santos, Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach, The 37th AAAI Conference on Artificial Intelligence, Washington, D.C., United States, Vol. 7, pp. 9038 - 9046, February, 2023,
    | Abstract     | BibTex
  • V. Matta, V. Bordignon, A. S. Santos, A. Sayed, Learning Graph Influence from Social Interactions, IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP, Barcelona, Spain, Vol., pp. -, May, 2020,
    | Abstract     | BibTex
  • V. Matta, A. S. Santos, A. Sayed, Graph Learning with Partial Observations: Role of Degree Concentration, IEEE International Symposium on Information Theory (ISIT), Paris, France, Vol., pp. -, July, 2019,
    | Abstract     | BibTex
  • V. Matta, A. S. Santos, A. Sayed, Exponential Collapse of Social Beliefs over Weakly-connected Heterogeneous Networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, Vol., pp. -, May, 2019,
    | Abstract     | BibTex
  • V. Matta, A. S. Santos, A. Sayed, Tomography of Large Adaptive Networks under the Dense Latent Regime, The 52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, United States, Vol., pp. -, October, 2018,
    | Abstract     | BibTex
  • A. S. Santos, V. Matta, A. Sayed, Consistent Tomography over Diffusion Networks under the Low-Observability Regime, IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, United States, Vol., pp. -, June, 2018,
    | Abstract     | BibTex
  • A. S. Santos, V. Matta, A. Sayed, DIVIDE-AND-CONQUER TOMOGRAPHY FOR LARGE-SCALE NETWORKS, IEEE Data Science Workshop (DSW), Lausanne, Switzerland, Vol., pp. -, June, 2018,
    | Abstract     | BibTex
  • A. S. Santos, S. Kar, J. Moura, J. Xavier, Thermodynamic limit of interacting particle systems over dynamical networks, The 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States, November, 2016,
    | Abstract     | BibTex
  • A. S. Santos, J. Moura, J. Xavier, Sufficient condition for survival of the fittest in a bi-virus epidemics, 49th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States, November, 2016,
    | Abstract     | BibTex
  • A. S. Santos, S. Kar, R. Krishnan Krishnan, J. Moura, Adaptive social networks: Strong attractors and emergence and downfall of leaders, 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Illinois, United States, Vol., pp. -, September, 2016,
    | Abstract     | BibTex
  • A. S. Santos, J. Moura, Diffusion and topology: Large densely connected bipartite networks, IEEE 51st IEEE Conference on Decision and Control (CDC), Maui, Hawaii, United States, Vol., pp. -, December, 2012,
    | Abstract     | BibTex
  • A. S. Santos, J. Moura, Emergent behavior in large scale networks, 50th IEEE Conference on Decision and Control and European Control Conference (CDC), Orlando, Florida, United States, December, 2011,
    | Abstract     | BibTex
1Awards
  • A. S. Santos, Best Qualifying Examination Score (CMU), Best qualifying examination score (among about 300 Ph.D. students) at Carnegie Mellon University., 01-04-2010
2Conference Committees
  • European Conference on Artificial Intelligence, Technical Programme Committee, 2024
  • International Joint Conference on Artificial Intelligence - IJCAI, Technical Programme Committee, 2024
7Refereeing Journals
  • IEEE Transactions on Automatic Control
    2017, 1 review(s);
  • IEEE Transactions on Control of Network Systems
    2018, 1 review(s);
  • IEEE Transactions on Signal Processing
    2019, 1 review(s);
  • Journal of the Royal Society Interface
    2018, 1 review(s);
  • Scientific Reports
    2023, 1 review(s);
  • SIAM Journal on Control and Optimization
    2021, 1 review(s);
  • research (science partner journal)
    2024, 1 review(s);
1Refereeing Conferences
  • International Joint Conference on Artificial Intelligence - IJCAI
    2024, 1 review(s);
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