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Damian Lyons

Professor

Damian Lyons

Department of Computer and Information Sciences
320 John Mulcahy Hall
441 East Fordham Road, Bronx NY 10458
Email: dlyons(at)cis.fordham.edu
Phone: 718-817-4485

Dr. Lyons's Homepage

Biography

Damian M. Lyons is a Professor of Computer Science at Fordham University. He has degrees in Engineering and Computer Science from Trinity College, University of Dublin in Ireland, and he earned his PhD in Computer Science from the University of Massachusetts at Amherst for research on formal models of computation for sensory-based robotics.

He worked for many years as a researcher in the US branch of the corporate research laboratories of Philips Electronics, the European Semiconductor and Consumer Electronics giant. His work there included research in representing and analyzing robot action plans, integrating reactive/behavior-based & deliberative approaches to action planning, multimodal user interfaces, and automated video surveillance. Dr. Lyons served as project leader for Philips' research activities in Automated Video Surveillance, and later as Department head for the Video and Display Processing research department, responsible for technical leadership and funding for this diverse group. Dr. Lyons is currently the Director of Fordham’s Computer Vision and Robotics Lab and Director of the MSCS graduate program.

Dr. Lyons has served on numerous conference program committees, has published over 100 technical papers in conferences, journals and books, and has authored 18 patents. Dr. Lyons is a senior member of IEEE and a member of ACM.

Research Interest

My research interests are in Computer Vision and Robotics, in particular for systems that operate in the same kind of dynamic and unstructured environments as humans. Previously I have worked in:

  • * the integration of planning and reaction in robot systems
  • * automated video surveillance, and
  • * vision-based human-machine interfaces.

I am currently Co-PI of a DTRA funded effort on formal verification for robotics:

  • Performance Guarantees for Emergent Behavior in Mobile Robot Systems
    The objective of this research program is to develop the necessary advances in theory and software to build robot systems that can be deployed in critical environments in a safe, effective and reliable fashion. The approach in this proposal is based on understanding what are the computational characteristics of the behavior-based approach to robotics. Unique characteristics include: the necessity for some form of sensory-motor structure such as Schemas, the necessity for asynchronous methods of composing concurrent behaviors, and the conclusion that even simple behavior-based systems exhibit complex behavior when acting in a complex environment.

    We are developing a succinct formalism that captures these issues, and especially addresses the issue of modeling the complex environment. A process-based environment model is being developed, allowing a shared vocabulary (processes) between robot controller and environment model. It employs the Port Automata model as an operational semantics, and a CSP like selection of process composition operators for process description. The emergent behaviors of a robot interacting with an active and dynamic environment can be modeled and explored with this approach.

Publications

Lyons, D., Arkin R., Jiang, S., Harrington, D., Tang, F., and Tang, P., “Probabilistic Verification of Multi-Robot Missions in Uncertain Environments” IEEE Int. Conference on Tools with AI, Vietri sul Mare, Italy, November 2015. PDF

T.M. Liu, D.M. Lyons, “Leveraging Area Bounds Information for Autonomous Decentralized Multi-Robot Exploration” Robotics and Autonomous Systems Volume 74, Part A, December 2015, Pages 66–78 July 2015 DOI: 10.1016/j.robot.2015.07.002). (Elsevier Journal, Impact Factor 1.462) PDF

D.M. Lyons, R.C. Arkin, P. Nirmal, S. Jiang, T-M Liu, “Performance Verification for Behavior-based Robot Missions” IEEE Transactions on Robotics, DOI: 10.1109/TRO.2015.2418592, V31 N3 2015. (Journal of the IEEE Robotics Society, Impact Factor 2.649). PDF

P. Nirmal, D. Lyons, “Homing With Stereovision”, Robotica, May 2015. (Cambridge Univ. Press Journal, Official journal of the Int. Federation of Robotics, Impact Factor 0.894) PDF

Damian M. Lyons, James S. MacDonall and Kelly M. Cunningham , “A Kinect-based system for automatic recording of some pigeon behaviors” Behavior Research Methods V47 No4 2015 DOI:10.3758/s13428-014-0531-6. (Springer Journal, Impact factor 2.458) PDF

D.M. Lyons, J. Leroy, “Evaluation of Parallel Reduction Strategies for Fusion of Sensory Information from a Robot Team,” Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, SPIE Defense Security and Sensing Symposium, Baltimore MD, April 2015. PDF

Lyons, D.M., Cluster Computing for Robotics and Computer Vision. World Scientific Singapore, 2011 (ISBN-13: 978-9812836359). Republished, Beijing Institute of Technology Press, Beijing China, Oct. 2014. PDF

D.M. Lyons, R.C. Arkin, S. Jiang, D. Harrington and T.M. Liu, “Verifying and Validating Multirobot Missions” IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS) 2014, Chicago IL, September 2014. PDF

D.M. Lyons, K. Shresta, “Eliminating Mutual Views in Fusion of Ranging and RGB-D Data From Robot Teams Operating in Confined Areas,” Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, SPIE Defense Security and Sensing Symposium, Baltimore MD, April 2014. PDF

D.M. Lyons, T-L. Liu, K. Shresta, “Fusion of Ranging Data From Robot Teams Operating in Confined Areas,” Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, SPIE Defense Security and Sensing Symposium, Baltimore MD, April 2013. PDF

D.M. Lyons, P. Nirmal, “Navigation of uncertain terrain by fusion of information from real and synthetic imagery.” Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, SPIE Defense Security and Sensing Symposium, Baltimore MD, April 2012. PDF

D.M. Lyons, R.C. Arkin, S. D. Fox, P. Nirmal, J. Shu, “Designing Autonomous Robot Missions with Performance Guarantees,” IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS) 2012, Vila Moura, Algarve Portugal, Oct. 7-12th 2012. PDF

Stephen D. Fox, Damian M. Lyons, “An approach to stereo-point cloud registration using image homographies.” SPIE Conference on Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, San Francisco, CA, January 2012. PDF

Lyons, D., “Selection and Recognition of Landmarks Using Terrain Spatiograms,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, October 2010. PDF

Lyons, D., “Detection and Filtering of Landmark Occlusions using Terrain Spatiograms.” IEEE Int. Conference on Robotics and Automation, Anchorage, Alaska, May 2010. PDF

Lyons, D.M., and Hsu, D.F., Method of Combining Multiple Scoring Systems for Target Tracking using Rank-Score Characteristics. Information Fusion 10(2) 2009. (Elsevier Journal, Impact Factor 3.472).PDF

Lyons, D., A Novel Approach to Efficient Legged Locomotion. 10th Int. Conference on Climbing and Walking Robots. 16-18 July 2007, Singapore. PDF