Damian M. Lyons
Professor
Department of Computer &Information
Science
320A John Mulcahy Hall
Fordham University
441 E.Fordham Rd.
Bronx NY 10458
PH: (718) 817-4485 FX: (718) 817-4488
EM: dlyons(at)fordham.edu
Dr. Damian M. Lyons is
a Professor of Computer Science at Fordham University. He is the Founder and
Director of Fordham's Robotics and Computer Vision
Laboratory as well as Director of the MSCS graduate program. He has served as Fordham's interim Chief Research Officer/Associate
Vice-President for Academic Affairs and as Department Chair for Computer and Information Science.
Dr. Lyons has
undergraduate degrees in Mathematics and Engineering
and a master's degree in Computer Science from Trinity College, University of Dublin, Robotics:
formal approaches to plan and program representation and analysis. Computer
Vision: target tracking, camera handoff, multisensory fusion and visual
navigation. Software
Engineering: static analysis, probabilistic analysis of programs, multilingual
codebases. 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 Department Chair 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
100 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.
Teaching | Research | Robotics
& Computer Vision Lab | Publications
| Older Publications
| Links Fordham Robotics and Computer Vision
Laboratory `Virtual
Stand (this is a little dated now)` Fall
2019 Spring
2019 Fall
2018 Spring
2018 Fall
2017 Spring
2017 Fall
2016: Spring
2016 Fall
2015: Spring
2015: My research interests are in Robotics
and in 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. A
significant portion of my work has been the formal analysis of plans and
programs using the techniques of static analysis and Bayesian networks. I am especially
interested in how to handle unknown or unexpected environments.
I work in the Fordham
Robotics and Computer Vision (FRCV) Lab and my previous and current
projects are described there. 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! For
a full list, see Publications
or (downloadable) More
Publications, and also Older Publications. See
my new book: Cluster Computing for
Robotics and Computer Vision (click on the image): Click here
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 6/18 - dlyons copyright dml 2018
Teaching
Research
Currently I'm involved in the following:
Publications
Patents
Additional
Links: