Artificial Intelligence Group
John Daugman
John Daugman is Reader in Computer Vision and Pattern Recognition
in the Computer Laboratory. He obtained his AB and PhD degrees from
Harvard University in the USA, where he also then taught on the
Faculty. Before coming to Cambridge he held the Toshiba Chair at the
Tokyo Institute of Technology, Japan, and during 2002–2004 he was the
Johann Bernoulli Professor of Mathematics and Informatics at the
University of Groningen, The Netherlands.
At Cambridge he currently teaches Information Theory and Coding, and Computer Vision to third year students.
Research interests: computer vision, statistical pattern recognition, neural computing, wavelet theory.
One application of his research has been iris recognition, an automatic and rapid method for determining personal identity with very high confidence, by mathematical analysis of the random patterns that are visible in the iris of a person's eye from some distance. Dr Daugman's algorithms for this process are the basis of all currently deployed iris recognition systems and have been licensed internationally, particularly in airports where governments (including the UK) allow the process to substitute for a passport.
(Dr Daugman is currently unable to take PhD students.)
Sean Holden
Sean Holden is University Senior Lecturer in Machine Learning and
Fellow and Director of Studies in Computing at Trinity College. He
obtained his BSc in Electronic Systems Engineering from the University
of East Anglia and his PhD in Information Engineering from Cambridge
University. Between his PhD and his current position in Cambridge he
spent seven years as Lecturer in Computer Science at University
College London.
At Cambridge he currently teaches the two artificial intelligence courses: Artificial Intelligence I to second year, Part II General and Diploma students, and Artificial Intelligence II to third year students.
Research interests: computational learning theory, Bayesian inference, boosting algorithms, machine learning.
Mateja Jamnik
Mateja Jamnik is University Lecturer and an EPSRC Advanced Research
Fellow. Prior to this she was guest researcher in Prof. Joerg
Siekmann's OMEGA Group, affiliated with the Collaborative Research
Center "Resource-adaptive Cognitive Processes" at the University of
Saarland, Sarbruecken, Germany, and Research Fellow in the School of
Computer Science at the University of Birmingham. She completed her
PhD in Prof. Alan Bundy's Mathematical Reasoning Group at the
Department of Artificial Intelligence of the University of Edinburgh.
Research interests: computational modeling of human reasoning, in particular in mathematics. Artificial intelligence, automated reasoning, diagrammatic reasoning, theorem proving, proof planning, cognitive science, machine learning, human-computer interaction, knowledge representation, agent technology.
Dr Jamnik co-organises the UK network for women in computing research Women@Cl network grant funded by EPSRC: www.cl.cam.ac.uk/women
Pietro Liò
Pietro Liò is a Lecturer in Computational Biology and Director of
Studies and Fellow in Computing at Fitzwilliam College. He currently
teaches Bioinformatics (Algorithms in Bioinformatics), Genome
Informatics II (Phylogenetic methods + Comparative Genomics) for the
MPhil in Computational Biology (Department of Mathematics), and 4M8
Tripos (Cambridge-MIT initiative) Department of Engineering.
Research interests: computational and statistical modelling of molecular systems, analysis of molecular biology data (DNA and protein sequences, gene expression data, evolutionary information, proteomics), computational approaches to multiscale problems in molecular biology systems, computational molecular evolution.
See also: Natural Language Processing Group