Réjean Plamondon received a B.Sc. degree in Physics, and M.Sc.A. and Ph.D.
degrees in Electrical Engineering from Université Laval, Québec, P.Q.,
Canada in 1973, 1975 and 1978 respectively. In 1978, he joined the faculty
of the École Polytechnique, Université de Montréal, Montréal, P.Q., Canada,
where he is currently a Full Professor. He has been the Head of the
Department of Electrical and Computer Engineering from 1996 to 1998 and the
Chief Executive Officer of École Polytechnique from 1998 to 2002. He is now
the Head of Laboratoire Scribens at this institution.
Over the last thirty years, Professor Plamondon has been involved in many
pattern recognition projects, particularly in the field of on-line and
off-line handwriting analysis and processing. He has proposed many original
solutions, based on exhaustive studies of human movement generation and
perception, to problems related to the design of automatic systems for
signature verification and handwriting recognition, as well as interactive
electronic penpads to help children learning handwriting and powerful
methods for analyzing and interpreting neuromuscular signals. His main
contribution has been the development of a kinematic theory of rapid human
movements which can take into account, with the help of a unique basic
equation called a delta-lognormal function, the major psychophysical
phenomena reported in studies dealing with rapid movements. The theory has
been found successful in describing the basic kinematic properties of
velocity profiles as observed in finger, hand, arm, head and eye movements.
Professor Plamondon has studied and analyzed these biosignals extensively in
order to develop creative and powerful methods and systems in various
domains of engineering.
Full member of the Canadian Association of Physicists, the Ordre des
Ingénieurs du Québec, the Union national des écrivains du Québec, Dr
Plamondon is an also active member of several international societies. He is
a Fellow of the Netherlands Institute for Advanced Study in the Humanities
and Social Sciences (NIAS; 1989), of the International Association for
Pattern Recognition (IAPR; 1994) and of the Institute of Electrical and
Electronics Engineers (IEEE; 2000). From 1990 to 1997, he was the President
of the Canadian Image Processing and Pattern Recognition Society and the
Canadian representative on the board of Governors of IAPR. He has been the
President of the International Graphonomics Society (IGS) from 1995 to 2007.
He has been involved in the planning and organization of numerous
international conferences and workshops and has worked with scientists from
many countries. He is the author or co-author of more than 300 publications
and owner of four patents. He has edited or co-edited four books and several
Special Issues of scientific journals. He has also published a children
book, a novel and three collections of poems.
Rahim Saeidi received M.Sc. degree in electrical engineering from Iran University of Science and Technology, Iran, in 2005, and Ph.D. degree in computer science from University of Eastern Finland, in 2011. He is a Marie Curie postdoctoral fellow working for EU funded BBfor2 ITN at Centre for Language and Speech Technology, Radboud University Nijmegen, the Netherlands. Dr. Saeidi participated is several speaker and language recognition benchmarking. In collaboration with 8 other institutes, he led a team of 20+ researchers from 4 continents for I4U
submission to NIST SRE'12 which climb up to the highest ranks in the evaluation. He is a member of ISCA and the Signal Processing Society of IEEE and has published over 40 peer reviewed journal and conference papers. His research interests include robust speaker recognition,speech enhancement, machine learning and statistical pattern
Tauseef Ali obtained his MS degree in Electronics and Communication Engineering at Myongji University, South Korea in 2007. He is a visiting researcher at the ATVS - supervised by Julian Fierrez, currently pursuing a PhD at the University of Twente, Netherlands under the guidance of Raymond Veldhuis and Luuk Spreeuwers. His research interest includes pattern recognition, image processing and machine learning techniques and their application in biometrics and forensics. Currently he is focusing on the development of automatic forensic face recognition systems. He is also involved in evaluation and improvement of calibration techniques for existing biometric systems so that they can be used in forensics.
Rudolf Haraksim obtained his MSc degree in Computers and Networking Technology at the Manchester Metropolitan University in 2007. He is a visiting researcher at the ATVS - supervised by Daniel Ramos, currently pursuing a PhD at the Netherlands Forensic Institute in The Hague under the guidance of Didier Meuwly. He started off in the fingerprint group and is now attached to the statistics department. He is involved in calibration of forensic systems (with focus on latent fingermarks) and his main research interests are latent mark examination, signal processing, pattern recognition, computer vision, dynamic systems calibration, systems identification and others.
Ahilan Kanagasundaram obtained his undergraduate degree with first class in Electrical & Electronic Engineering [Telecommunication Major] at University of Peradeniya, Sri Lanka, in 2008. He had worked as Telecommunication Engineer at Sri Lanka Telecom, Sri Lanka, for one and half years. Currently, he is following his final year of study towards a PhD (title “Advances in Speaker Verification Technology for Driver Authentication in Vehicles”) at Queensland University of Technology, Australia. His research is focused on improving the speaker verification performance in limited data conditions and improving the accuracy of speaker verification in adverse noise environments. Recently, he was offered to follow an internship program at ATVS, UAM, which was sponsored by BBfor2 project.
Karl Kümmel is pursuing his MSc degree in Informatics from University of applied sciences Brandenburg, Germany. In 2009 he joined a research team focusing on biometric hash algorithms for handwriting, where he also works as an assistant researcher. His current research focuses on handwriting recognition, vulnerabilities of handwriting-based recognition systems and biometrics in general. From 18 to 25 of September 2009 he was a visiting researcher at the Biometric Recognition Group - ATVS.
Emanuele Maiorana received the Laurea Degree in Electronic Engineering, summa cum laude from the Università degli Studi "Roma Tre", Roma, Italy, in 2004. He joined Accenture, Consulting Workforce, Communication and High Tech Workgroup, from September, 2004 till November, 2005. He is currently a Ph.D. student in Telecommunication Engineering with the Dept. of Applied Electronics, Università degli Studi "Roma Tre", Roma, Italy, since November 2005. His research interests are in the area of digital signal, image processing, textures, biometrics and security of telecommunication systems. He is the recipient of the Lockheed Martin Best Paper Award for the Poster Track at the IEEE Biometric Symposium 2007. From October 2007 to March 2008 he was a visiting researcher at the Biometric Recognition Group - ATVS.
Vasileios Vasilakakis obtained his MSc in Artificial Intelligence at University of Edinburgh, UK, 2009. He is currently pursuing a PhD in Forensic Speaker Verification at the Politecnico di Torino in Italy. His research interest includes deep learning, pattern recognition and machine learning techniques and their application in biometrics and forensics. Currently he is focusing on the use of deep belief networks for speaker verification.