|
Jorge Bernardino
Polytechnic of Coimbra - ISEC
Portugal
|
Brief Bio
Jorge Bernardino received the Ph.D. degree in computer science from the University of Coimbra in 2002. He is currently a coordinator professor with the Polytechnic of Coimbra - ISEC (Instituto Superior de Engenharia de Coimbra), Portugal. From 2005 to 2010, he was president of ISEC. In 2014, he was a visiting professor at Carnegie Mellon University (CMU), USA. From 2017 to 2019, he was also president of the ISEC Scientific Council. He was the director of the Applied Research Institute (i2A), Polytechnic of Coimbra, from 2019 to 2021. His main research fields are big data, NoSQL, data warehousing, business intelli
gence, open source tools, and software engineering.
... More >>
|
Ana Fred
Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon)
Portugal
|
Brief Bio
Ana Fred received the M.S. and Ph.D. degrees in Electrical and Computer Engineering, in 1989 and 1994, respectively, both from Instituto Superior Técnico (IST), Technical University of Lisbon, Portugal. She is a Faculty Member of IST since 1986, where she has been a professor with the Department of Electrical and Computer Engineering, and more recently with the Department of Biomedical Engineering. She is a researcher at the Pattern and Image Analysis Group of the Instituto de Telecomunicações. Her main research areas are on pattern recognition, both structural and statistical approaches, with application to data
mining, learning systems, behavioral biometrics, and biomedical applications. She has done pioneering work on clustering, namely on cluster ensemble approaches. Recent work on biosensors hardware (including BITalino – and ECG-based biometrics (Vitalidi project) have been object of several nacional and internacional awards, as well as wide dissemination on international media, constituting a success story of knowledge transfer from research to market. She has published over 160 papers in international refereed conferences, peer reviewed journals, and book chapters.
... More >>
|
Frans Coenen
University of Liverpool
United Kingdom
|
Brief Bio
Prof Frans Coenen is a Professor of Computer Science at The University of Liverpool, UK. He has 36 years of experience of working in AI, ranging from early work on driverless ships to current work on deep and machine learning. He is particularly interested in the application of the techniques of Machine Learning to unusual data sets, such as: (i) graphs and social networks, (ii) time series, (iii) free text of all kinds, (iv) 2D and 3D images, particularly medical images, and (v) video data. He is also interested in data mining over encrypted data. He currently leads a small research group working on many aspects
of Machine Learning and AI. He has some 450 refereed research publications, and has been on the programme committees for many Machine Learning and AI conferences and related events. He has supervised over 100 post-graduate research students and postdoctoral research associates, has a substantial research funding track record, and significant experience of working with industry.
... More >>