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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.
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