Academic position: | Assistant Professor |
Joining date: | 17-04-2020 |
Roles in IT: | Researcher |
Thematic Line: | Networks and Services |
Group: | Network Architectures and Protocols – Cv |
Ivan Miguel Pires received a B.Sc. in Computer Science and Engineering from the Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal, in 2010. He obtained an M.Sc. in Computer Science and Engineering from the Universidade da Beira Interior (UBI), Covilhã, Portugal, in 2012. He also received the European Ph.D. in Computer Science and Engineering from UBI. Between February 2019 and September 2019, he frequented a Post-Doctoral Fellowship related to Passing Cloud at C4 - Cloud Computing Competence Centre, Universidade da Beira Interior. The subject was conveyed to sensors embedded in mobile devices to monitor traffic warning situations by car. He was an Invited Adjunct Professor at the Polytechnic Institute of Viseu, Viseu, Portugal, between October 2019 and September 2021. Furthermore, he was Invited Assistant Professor at the University of Tras-os-Montes e Alto Douro between October 2021 and July 2022. Between March 2023 and August 2023, he was Adjunct Professor at the Escola Superior de Gestão e Tecnologia of Polytechnic Institute of Santarém. Since September 2023, he is currently Adjunct Professor at Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal. He is an integrated researcher at Instituto de Telecomunicações, Covilhã, Portugal. He (co-)advised 1 Ph.D. student, 1 M.Sc. student, and 26 B.Sc. students. He is currently (co-)advising 1 Ph.D. student and 2 M.Sc. students. He was involved in Verão Com Ciência 2020, Verão Com Ciência 2021, and Verão Com Ciência 2022 initiatives. He has some small funded projects approved with the Polytechnic Institute of Viseu, Viseu, Portugal. His main interests are related to sensors available in off-the-shelf mobile devices for different purposes, including medicine and sports. Also, his research interest is associated with the application of data fusion and data classification techniques of the data acquired from the different sensors.