Universitas FordhamensisPicture of me taken by BrianDamian M. Lyons
Associate 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 an Associate Professor of Computer Science at Fordham University. He is the Director of Fordham's Robotics and Computer Vision Laboratory and is currently serving as Fordham's interim Chief Research Officer/Associate Vice-President for Academic Affairs.

Dr. Lyons has undergraduate degrees in Math (B.A.,1980) and Electrical Engineering (B.A.I., 1980) and a master's degree in Computer Science (M.Sc., 1981) from Trinity College, University of Dublin, Ireland. He earned his doctorate in Computer Science from the University of Massachusetts at Amherst (Ph.D., 1986).

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. 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 IEEE.


Fordham Robotics and Computer Vision Laboratory `Virtual Stand`




  Teaching | Research | FRCV Lab TWiki | Publications | Links


Spring 2016

  • CISC 6525 Artificial Intelligence

Fall 2015:

  • CISC 4006 Brains & Behaviors in Bots and Beasts

Spring 2015:

  • Faculty Fellowship

Fall 2014:

  • CISC 3593 L01 Computer Organization
  • CISC 3593 R01 Computer Organization

Spring 2014:

  • CISC 3595 Operating Systems
  • CISC 3006 Brains & Behaviors in Bots and Beasts

Fall 2013:

  • CISC 3593 Computer Organization
  • CISC 6875 Parallel Computation

Spring 2013:

  • CISC 3600 Robotics
  • CISC 3593 Computer Organization

Fall 2012:

  • CISC 3595 Operating Systems
  • CISC 6525 Artificial Intelligence

Spring 2012:

  • CISC 3593 Computer Organization
  • CISC 2540 Video Game Design

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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 models of robot programming. 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:

  • Performance guarantees for probabilistic robot systems: Joint work with Ron Arkin of Georgia Tech developing software to establish performance guarantees for probabilistic robot control algorithms using GATech`s MissionLab and Process Algebra based formal models of robot programs.
  • Terrain Spatial Histograms: A novel approach to Landmark Representation for robot teams
  • ADAPT: an architecture for cognitive robotics: joint work with D. Paul Benjamin of Pace Univ. Currently we are looking at ways to compare real and synthetic video so as to `synch` a robots visual information with a 3D graphical model of the terrain (using the game engine OGRE).
  • An energy-efficient approach to legged locomotion, the rotopod.
  • A combinatorial approach to sensory fusion for target tracking, camera handoff and navigation (with D. Frank Hsu)


I am especially interested in how cluster and parallel computing) can be applied to robot architecture and algorithms. We are using an HPC of 11 dual processor quad core Intel Xeon E5462s for implementing and evaluating various robot and computer vision algorithms (88 cores).


Interested in doing Robotics and/or Computer Vision research? Follow this link!




For a full list, see here .

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

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Additional Links:

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LastUpdated 6/15  dlyons

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