Bruno Fernandes holds a B.Sc. and M.Sc. in Informatics Engineering from the University of Minho. He concluded his PhD in Informatics, in 2021, at the same university, with the maximum grade of Very Good (unanimously). Bruno is an AI/ML researcher at the ALGORITMI center (since 2017), a research unit of the School of Engineering of the University of Minho, and a professor at the Department of Informatics of the same university (since 2018), lecturing Machine Learning and Artificial Intelligence to the master's courses in Informatics Engineering, Systems Engineering, and Mathematics and Computation. He has been working as a software engineer for more than 8 years. He has published more than 20 scientific papers and book chapters in relevant scientific journals and conference proceedings, receiving multiple awards for his research. He is also an invited reviewer of some of the most important international journals and scientific conferences of the area. To date, he has supervised 19 MSc and has been responsible for multiple research projects. He has conceived and deployed multiple solutions specimens applied to traffic flow, personality assessment, deep image clustering, and wastewater treatment plants, among others, based on disruptive methods related to machine and deep learning, sensorization, ambient intelligence, and affective computing. He is now focused on his research and on allowing the world, and our society, to take the next big step towards a better future.
Bruno Fernandes holds a B.Sc. and M.Sc. in Informatics Engineering from the University of Minho. He concluded his PhD in Informatics, in 2021, at the same university, with the maximum grade of Very Good (unanimously). Bruno is an AI/ML researcher at the ALGORITMI center (since 2017), a research unit of the School of Engineering of the University of Minho, and a professor at the Department of Informatics of the same university (since 2018), lecturing Machine Learning and Artificial Intelligence to the master's courses in Informatics Engineering, Systems Engineering, and Mathematics and Computation. He has been working as a software engineer for more than 8 years. He has published more than 20 scientific papers and book chapters in relevant scientific journals and conference proceedings, receiving multiple awards for his research. He is also an invited reviewer of some of the most important international journals and scientific conferences of the area. To date, he has supervised 19 MSc and has been responsible for multiple research projects. He has conceived and deployed multiple solutions specimens applied to traffic flow, personality assessment, deep image clustering, and wastewater treatment plants, among others, based on disruptive methods related to machine and deep learning, sensorization, ambient intelligence, and affective computing. He is now focused on his research and on allowing the world, and our society, to take the next big step towards a better future.
PhD Member
Research Group: