André Gomes, Ph.D.

André Gomes, Ph.D.

André Gomes, Ph.D.
Assistant Professor

André  Gomes, Ph.D.
Department of Computer Science

Contact Info
Robinson Hall, Room 328Q

Biography

Websites:
Website
Google Scholar

Education:

Ph.D., Computer Engineering, Virginia Tech
M.S., Computer Science, Universidade Federal de Minas Gerais (Brazil)
B.S., Telecommunications Engineering, Universidade Federal de São João del-Rei (Brazil)

Research Expertise:
Wireless Networks | Network Reliability | Network Resilience | Network Security

My research focuses on designing, building, and evaluating wireless networks for reliability: networks that can perform under stringent performance requirements and withstand failures, attacks, and disasters. I have worked on topics such as ultra-reliable low-latency communication (URLLC), reconfigurable intelligent surfaces (RIS), Open RAN, stochastic geometry, software-defined radios, and applied machine learning, and collaborated with initiatives such as the NextG Alliance, 6G Flagship at the University of Oulu, and AT&T Research Labs.

Professional Memberships:
Institute of Electrical and Electronics Engineers

Selected Publications:
A. Gomes, A. S. de Sena, N. H. Mahmood, M. Latva-aho, L. A. DaSilva, and J. Kibiłda, ""Beam management manipulation with adversarial reconfigurable intelligent surfaces,"" IEEE Globecom, 2024. (Accepted)

A. S. de Sena, A. Gomes, J. Kibiłda, N. H. Mahmood, L. A. DaSilva, M. Latva-aho, ""Malicious RIS meets RSMA: Unveiling the robustness of rate splitting to RIS-induced attacks,"" in IEEE Globecom, 2024. (Accepted)

U. Usubutun, A. Gomes, S. P. Narayanan, M. Hiltunen, and S. Panwar, ""Designing reliable virtualized radio access networks,"" in IEEE Globecom, 2024. (Accepted)

A. Gomes, J. Kibiłda, and L. A. Da Silva, ""Assessing the spectrum needs for network-wide ultra-reliable communication with meta distributions,"" IEEE Communications Letters, 2023.

A. Gomes, J. Kibiłda, A. Farhang, R. Farrell, and L. A. DaSilva, ""Multi-operator connectivity sharing for reliable networks: A data-driven risk analysis,"" IEEE Transactions on Network and Service Management, 2021."