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Matt Burlick

Matthew Burlick

Assistant Teaching Professor

Computer Science

Dr. Burlick's research interests include topics in image processing, machine learning, real-time video tracking, object detection and classification, statistics/probability, and acoustics. Dr. Burlick previously served as assistant professor in the Computer Science Department at Stevens Institute of Technology in Hoboken, NJ, where he instructed in undergraduate courses in areas such as scientific computing, discrete structures, algorithms, and interactive computer graphics, and also co-taught their capstone senior design course with a focus on software engineering. His work can be generalized as real-time multi-sensor fusion for detection and classification. This work results in extensive experience choosing feature vectors, building classifiers and creating unique clustering algorithms, often relying on temporally relative data.

Education

  • PhD, Computer Science, Stevens Institute of Technology
  • MS, Computer Science, Stevens Institute of Technology
  • BS, Electrical Engineering (with a concentration in Computer Engineering), University of Delaware

Research/Teaching Interests

Machine learning, computer graphics, data structures and algorithms, discrete structures, computer vision; multi-sensor, multi-model fusion; computer vision and biomedical imaging; unsupervised dynamic class discovery; spatio-temporal tracking and classification

Select Publications

  • George Kamberov, Matt Burlick, Lazaros Karydas, Olga Koteogou (2014).  Unsupervised Detection of Video Sub-scenes. Pattern Recognition (ICPR), Pages 1934-1939
  • Matt Burlick, Olga Koteoglou, Lazaros Karydas, George Kamberov (2013).  Leveraging Crowdsourced Data for Creating Temporal Segmentation Ground Truths of Subjective Tasks.  Computer Vision and Pattern Recognition Workshops (CVPRW), pages 743-750.
  • Matt Burlick, Dimitrios Dimitriadis, Eric Zavesky (2013).  On Improving a Multi-modal Voice Activity Detector.  InterSpeech.
  • George Kamberov, Matt Burlick, Lazaros Karydas, Olga Koteoglou (2012).  SCAR: Dynamic adaptation for person detection and persistence analysis in unconstrained videos.  International Symposium on Visual Computing.
  • Barry Bunin, Alexander Sutin, George Kamberov, Heui-Seol Roh, Bart Luczynski, Matt Burlick (2008).  Fusion of acoustic measurements with video surveillance for estuarine threat detection.  The International Society for Optical Engineering.

Awards & Recognition

  • Recipient of Robert Crooks Stanley Fellowship 2011-2013
  • Nominated a member of Who’s Who of America’s Teachers
  • Recipient of ETS’ Recognition of Excellence Award

Professional Activities

  • Member of IEEE