Projetos por ano
Perfil pessoal
Biografia
Slavisa Tomic received the M.S. degree in traffic engineering according to the postal traffic and telecommunications study program from University of Novi Sad, Serbia in 2010, and the PhD degree in electrical and computer engineering from University Nova of Lisbon, Portugal in 2017. He is currently an Assistant Professor at the Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal. According to the methodology proposed by Stanford University, he was among the most influential researchers in the world between 2019 and 2021 when he joined the list of top 1% of scientists whose work is most cited by other colleagues in the field of Information and Communication Technologies, sub-area Networks and Telecommunications. He is one of the winners of CEEC Individual 2021 funded by Fundação para a Ciência e a Tecnologia. His research interests include target localization in wireless sensor networks, and non-linear and convex optimization.
Impressão digital
Mergulhe nos tópicos de investigação onde Slavisa Tomic está ativo. Estas etiquetas de tópicos vêm dos trabalhos desta pessoa. Em conjunto formam uma impressão digital única.
- 1 Perfis semelhantes
Colaborações e principais áreas de investigação dos últimos cinco anos
Colaboração externa recente ao nível do país/território. Mergulhe em detalhes clicando nos pontos ou
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REMARKABLE: Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated Learning
Beko, M. (Investigador), Tomic, S. (Investigador), CARVALHO, J. P. L. A. D. M. (Investigador), ARACHCHILAGE, D. N. K. J. (Investigador) & Tomic, R. (Gestor de Projeto)
1/01/23 → 31/12/26
Projeto
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ANTIDOTE: AI Attack and Defense for the Smart Healthcare
Beko, M. (Investigador), Tomic, S. (Investigador), CAMPOS, L. M. S. D. C. (Investigador) & CARVALHO, J. P. L. A. D. M. (Investigador)
Projeto
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AutoNAV: A Python package for simulating UAV navigation in satellite-less environments
Santos, R. S., Fachada, N., Matos-Carvalho, J. P., Tomic, S. & Beko, M., 1 set. 2024, Em: SoftwareX. 27, p. 101782 1 p., 101782.Resultado de pesquisa › revisão de pares
Acesso aberto1 Citação (Scopus) -
Convolutional Neural Networks for Autonomous UAV Navigation in GPS-Denied Environments
Santos, R. S., Matos-Carvalho, J. P., Tomic, S., Beko, M. & Calafate, C. T., 1 jan. 2024, Technological Innovation for Human-Centric Systems - 15th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2024, Proceedings. Camarinha-Matos, L. M. & Ferrada, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 111-122 12 p. (IFIP Advances in Information and Communication Technology; vol. 716 IFIPAICT).Resultado de pesquisa
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Empirical evaluation of multi UAV coverage path planning for aerial surveying
Wubben, J., Matos-Carvalho, J. P., Pedro, D., Tomic, S. & Calafate, C. T., 29 abr. 2024, DCOSS-IoT. Institute of Electrical and Electronics Engineers Inc., p. 277-284 8 p. (2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)).Resultado de pesquisa › revisão de pares
1 Citação (Scopus) -
Trustworthy Target Localization via ADMM in the Presence of Malicious Nodes
Tomic, S. & Beko, M., 1 mai. 2024, Em: IEEE Transactions on Vehicular Technology. 73, 5, p. 7250-7261 12 p., 5.Resultado de pesquisa › revisão de pares
Acesso aberto2 Citações (Scopus) -
A Hybrid LSTM-based Neural Network for Satellite-less UAV Navigation
Santos, R., Matos-Carvalho, J. P., Tomic, S., Beko, M. & Correia, S. D., 2023, Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023. Institute of Electrical and Electronics Engineers Inc., p. 91-97 7 p. (Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023).Resultado de pesquisa › revisão de pares
2 Citações (Scopus)