I am an assistant professor at Rowan University, NJ. I obtained my Ph.D. in computer engineering from Virginia Tech, VA. 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.
Ph.D. and MS opportunities: I have several funded MS and Ph.D. opportunities available to join my research group at Rowan University. If you are interested in topics related to wireless networks, network reliability, and network security, please contact me via the email address below, attaching your CV and academic transcripts and stating your research interests.
Email: gomesa at rowan dot edu
EDUCATION
Ph.D. in computer engineering (2023)
Virginia Tech, VA
Advisors: Prof. Luiz DaSilva and Prof. Jacek Kibilda
Dissertation: Wireless network dimensioning and provisioning for ultra-reliable communication: modeling and analysisMS in computer science (2019)
Universidade Federal de Minas Gerais, Brazil
Advisors: Prof. Daniel Fernandes Macedo and Prof. Luiz Filipe Menezes Vieira
Thesis: Automatic MAC protocol selection based on reinforcement learning (Portuguese)BS in telecommunications engineering (2016)
Universidade Federal de São João, Brazil
Visiting student, the University of Adelaide, Australia (2013-2014)
PUBLICATIONS
Journals
A. S. de Sena, J. Kibiłda, N. H. Mahmood, A. Gomes, M. Latva-aho, "Malicious RIS versus massive MIMO: Securing multiple access against RIS-based jamming attacks," in IEEE Wireless Communications Letters, 2024. (DOI) (PDF)
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. (DOI) (PDF)
A. Gomes, J. Kibiłda, Nicola Marchetti, and L. A. Da Silva, "Dimensioning spectrum to support ultra-reliable low-latency communication," IEEE Communications Standards Magazine, 2023. (DOI) (PDF)
A. Gomes, J. Kibiłda, and L. A. Da Silva, "Capturing rare network conditions to dimension resources for ultra-reliable communication," IEEE Communications Letters, 2022. (DOI) (PDF)
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. (DOI) (PDF)
(Co-author) L. C. Costa et al., "OpenFlow data planes performance evaluation," in Performance Evaluation, 2021. (DOI) (PDF)
A. Gomes, D. F. Macedo, and L. F. M. Vieira, "Automatic MAC protocol selection in wireless networks based on reinforcement learning," Computer Communications, 2020. (DOI) (PDF)
Conferences
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) (PDF)
U. Usubutun, A. Gomes, S. P. Narayanan, M. Hiltunen, and S. Panwar, "Designing reliable virtualized radio access networks," in IEEE Globecom, 2024. (Accepted) (PDF)
A. Gomes, J. Kibiłda, and L. A. DaSilva, "Analysis of spectrum needs for network-wide ultra-reliable communication with network sharing," in IEEE Globecom Workshops, 2023. (DOI) (PDF) [BEST PAPER AWARD]
A. Gomes, J. Kibiłda, A. Farhang, R. Farrell, and L. A. DaSilva, “Network sharing for reliable networks: A data-driven study,” in IEEE International Conference on Communications (ICC), 2020. (DOI) (PDF)
A. Gomes, D. F. Macedo, and L. F. M. Vieira, "FS-MAC+: Troca flexível do protocolde acesso ao meio em redes sem fio empregando aprendizado de máquina," in Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC), 2018. (DOI) (PDF)