Damian M. Lyons
Department of Computer &Information Science
320A John Mulcahy Hall
441 E.Fordham Rd.
Bronx NY 10458
PH: (718) 817-4485 FX: (718) 817-4488
Dr. Damian M. Lyons is a Professor of Computer Science at Fordham University. He is the Director of Fordham's Robotics and Computer Vision Laboratory and Director of the MSCS graduate CS program. He has served as Fordham's interim Chief Research Officer/Associate Vice-President for Academic Affairs and as chair of the Department of Computer and Information Science.
Dr. Lyons has
undergraduate degrees in Math and Engineering (B.A.,1980,
B.A.I., 1980) and a master's degree in Computer Science (M.Sc., 1981) from Trinity College, University of Dublin,
His research interests are in Robotics and Computer Vision. In robotics these interests include formal approaches to plan and program representation and analysis and hybrid deliberative-reactive systems. In Computer Vision, his interests include target tracking, camera handoff, multisensory fusion and behavior recognition. His background includes over 15 years as a researcher and research program manager at the US division of Philips corporate research laboratories; he was Department head for the Video and Display Processing research department, responsible for technical leadership and funding for this diverse group, and project leader for Philips' research activities in Automated Video Surveillance. He joined Fordham in 2002, and served as chair of the Department of Computer and Information Science at Fordham from 2006 to 2011 and as interim Chief Research Office and Associate VP for Academic Affairs for Fordham during the 2015/16 academic year. He has served on numerous program committees, has published over 80 technical papers in conferences, journals and books, and is inventor/co-inventor of 13 US patents. Dr. Lyons is a member of ACM and a senior member of IEEE.
Fordham Robotics and Computer Vision Laboratory `Virtual Stand`
My research interests are in Robotics and Computer Vision, in particular for systems that operate robustly in the same kind of dynamic and unstructured environments as humans. My most recent work is in formal analysis of robot programs. I am interested in the principles of perceptual systems that combine diverse channels of information about the robot and its environment in the service of behaviors such as target tracking, navigation, wayfinding and exploration. I conduct work in both the theoretical and experimental aspects of this problem domain. My approach is influenced by Arbib's perceptual and motor schema theory, by behavior-based systems as pioneered by Brooks, and by hybrid deliberative-reactive systems as championed by Arkin.
I work in the Fordham
Robotics and Computer Vision (FRCV) Lab and my previous and current
projects are described there.
Currently I'm involved in four pieces of work:
I am especially interested in how cluster and parallel computation can be applied to robot software architectures and algorithms, using the Fordham CIS 144 core HPC cluster machine.
Interested in doing Robotics and/or Computer Vision research? Follow this link!
See my new book: Cluster Computing for Robotics and Computer Vision (click on the image):
for more information on the 2nd edition of the Fundamentals of Discrete Structures (Lyons, Papadakis-Kanaris, Weiss
& Werschulz) text (click on the image for the amazon page)
For a full list, see here
LastUpdated 6/16 dlyons
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