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Personal profile

Research profile

Rui Pires da Silva Castro is an Assistant Professor in the Department of Mathematics and Computer Science at the Mathematics Department at Eindhoven University of Technology, (TU/e). His research interests are on the borderline of signal processing, learning theory and statistics, including learning theory, non-parametric and high-dimensional statistics, statistical signal and image processing, network inference, and pattern recognition.

Rui is also interested in active learning techniques, also known as sequential experimental design. These include learning/sampling procedures that are able to use information gleaned from previous samples to adapt the sampling procedure. Applications include, among others, network monitoring and measurement and effective spectrum analysis methods for opportunistic transmission in cognitive radio.  Previously, Rui worked on Distilled Sensing (DS), a multi-step, selective (adaptive) sampling procedure for recovering sparse signals from noisy observations. DS results in dramatic quantifiable improvements over the best non-adaptive sensing methods for the estimation and detection of sparse signals in noise.

Academic background

Rui M. Castro received a Licenciatura degree in aerospace engineering in 1998 from the Instituto Superior Técnico, Technical University of Lisbon, Portugal, and a PhD degree in electrical and computer engineering from Rice University, Houston, Texas in 2008. Between 1998 and 2000 he was a researcher with the Communication Theory and Pattern Recognition Group, Institute of Telecommunications, Lisbon, and in 2002 he held a visiting researcher position at the Mathematics Research Center, Bell Laboratories Research. He was a postdoctoral fellow at the University of Wisconsin in 2007-2008, and between 2008 and 2010 he held an Assistant Professor position in the department of electrical engineering at Columbia University.

Rui Castro received a Rice University Graduate Fellowship in 2000 and a Graduate Student Mentor Award from the University of Wisconsin in 2007. He has been also a distinguished speaker in the Canadian Computer and Robot Vision Conference, and a plenary speaker in the Workshop on Information Theoretic Methods in Science and Engineering.

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Research Output

Cliques in rank-1 random graphs: the role of inhomogeneity

Bogerd, K., Castro, R. M. & van Der Hofstad, R., Feb 2020, In : Bernoulli. 26, 1, p. 253-285 33 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Are there needles in a moving haystack? adaptive sensing for detection of dynamically evolving signals

Castro, R. M. & Tánczos, E., 1 May 2019, In : Bernoulli. 25, 2, p. 977-1012 36 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • 4 Downloads (Pure)

    Distribution-free detection of structured anomalies: permutation and rank-based scans

    Arias-Castro, E., Castro, R. M., Tánczos, E. & Wang, M., 3 Apr 2018, In : Journal of the American Statistical Association. 113, 522, p. 789-801 13 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 3 Citations (Scopus)

    Adaptive compressed sensing for support recovery of structured sparse sets

    Castro, R. M. & Tanczos, E., 1 Mar 2017, In : IEEE Transactions on Information Theory. 63, 3, p. 1535-1554 20 p., 7819556.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 6 Citations (Scopus)

    Consistent estimation in general sublinear preferential attachment trees

    Gao, F., van der Vaart, A., Castro, R. & van der Hofstad, R., 2017, In : Electronic Journal of Statistics. 11, 2, p. 3979-3999 21 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    46 Downloads (Pure)

    Courses

    Mathematical statistics

    1/09/14 → …

    Course

    Mathematical statistics

    1/09/13 → …

    Course

    Statistical learning theory

    1/09/14 → …

    Course

    Statistical learning theory

    1/09/19 → …

    Course

    Press / Media

    Conference Summary: Financial Intermediation and Vulnerabilities

    Rui M. Castro

    20/12/19

    1 item of Media coverage

    Press/Media: Expert Comment

    Student theses

    A method for evaluating digitally drawn functions with applications in high school education

    Author: Chu, V., 2 Oct 2019

    Supervisor: Castro, R. M. (Supervisor 1)

    Student thesis: Bachelor

    File

    Derivative-free optimisation of high-dimensional functions

    Author: Kisters, T., 28 Oct 2019

    Supervisor: Castro, R. M. (Supervisor 1)

    Student thesis: Master

    File

    Modeling and interference of the Internet Movie Database

    Author: Gao, F., 31 Oct 2011

    Supervisor: van der Hofstad, R. (Supervisor 1) & Pires da Silva Castro, R. (Supervisor 2)

    Student thesis: Master

    File

    Multi-aircraft tracking using particle filters and neural networks

    Author: Gootzen, Y., 18 Dec 2017

    Supervisor: Pires da Silva Castro, R. (Supervisor 1) & de Haan, J. (External person) (External coach)

    Student thesis: Master

    File

    Setting reserve prices in repeated second-price auctions

    Author: Lyu, Y., 31 Aug 2017

    Supervisor: Pires da Silva Castro, R. (Supervisor 1) & Meyfroyt, P. (External coach)

    Student thesis: Master

    File