|
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 >>
|
Maria De Marsico
Sapienza Università di Roma
Italy
|
Brief Bio
Maria De Marsico is Full Professor at Sapienza University of Rome, Department of Computer Science. She graduated in Computer Science at University of Salerno. Her research interests concern the study of biometric systems (face, iris, gait, multi-biometric systems), pattern recognition, image processing, and human-machine interaction, in particular, issues of accessibility, emotion recognition, and biometric interaction. She is Editor in Chief for Special Issues of Pattern Recognition Letters, Associate Editor of Pattern Recognition, Associate Editor of IEEE Transactions on Biometrics, Behavior, and Identity Scien
ce, and has been guest editor of several Special Issues of high-ranked journals. Maria has been member of the Editorial Board of the IEEE Biometrics Compendium and Editor in Chief of IEEE Biometrics Council Newsletter. She has been co-editor with Michele Nappi (University of Salerno) and Massimo Tistarelli (University of Sassari) of the book "Face recognition in adverse conditions" published by IGI Global, and with Michele Nappi (University of Salerno) Hugo Proença (University of Beira Interior) of the book “Human Recognition in Outdoor Unconstrained Environments - Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics” edited by Elsevier – Academic Press. She is Program co-Chair of the International Conference on Pattern Recognition Applications and Methods - ICPRAM since 2013. Maria is Member of IEEE (The Institute of Electrical and Electronics Engineers), ACM (Association for Computing Machinery), CVPL ( former GIRPR - Italian Group of Researchers in Pattern Recognition), and EAB (European Association for Biometrics).
... More >>
|
Gabriella Sanniti Di Baja
Italian National Research Council CNR
Italy
|
Brief Bio
Gabriella Sanniti di Baja, born in 1950, received the laurea degree (cum laude) in physics from the "Federico II University" of Naples, Italy, in 1973, and the PhD honoris causa from the Uppsala University, Sweden, in 2002. Since 1973, she has been working in the field of image processing and pattern recognition at the Institute of Cybernetics E. Caianiello of the Italian National Research Council, where she is director of research. Her current research interests include 2D and 3D shape representation and analysis. She has published a number of papers in international journals and conference proceedings, is the c
oeditor-in-chief of Pattern Recognition Letters, has been President of the International Association for Pattern Recognition (IAPR) as well as of the Italian Group of Researchers in Pattern Recognition (GIRPR), is IAPR Fellow and Foreign Member of the Royal Society of Sciences at Uppsala, Sweden.
... More >>
|
Michal Haindl
Institute of Information Theory and Automation
Czech Republic
|
Brief Bio
Michal Haindl completes his studies at the Faculty of Electrical Engineering of the Czech Technical University, he was admitted to the Institute of Information Theory and Automation of the Czechoslovak Academy of Sciences, where he has been the head of the Department of the Pattern Recognition since 2002. He acquired the scientific degree of DrSc., in 2004, he was elected a Fellow of the International Association of Pattern Recognition, and in 2010 was appointed a full professor at the University of West Bohemia in Pilsen. In 2013, he became a member of the Academy Council of the Czech Academy of Sciences. During
his professional career, he dealt with the theory of control and modelling of supercritical hydraulic flow (co-author of the mathematical solution of the conditions of the emergence of an annular jump – 4 Czechoslovak patents and 150 realized sewage treatment plants). Since 1983, he has been engaged in the area of random fields applications for modelling and recognition of visual information. He has published the research results in more than 330 scientific articles in books, journals and conference proceedings. He currently lectures at the Faculty of Information Technology and Faculty of Transportation Sciences of the Czech Technical University in Prague and is the representative of the CR in the Governing Board of the International Association of Pattern Recognition (IAPR).
... More >>