My research areas cover the interdisciplinary fields of computational models of learning, computational and artificial intelligence, pattern recognition and signal processing with particular applications in biomedical engineering and non-destructive evaluation.

 

One of my goals is to establish Signal Processing and Pattern Recognition Laboratory (SPPRL) as a national model of such a laboratory at a primarily undergraduate institution. This model uses the Rowan Engineering’s hallmark of Engineering Clinics, where undergraduate and graduate students work together. If you would like to sponsor any work at this laboratory, and/or have a problem in mind that we might be able to help solve, please see Support SPPRL pages.

 

Initial funding for SPPRL is provided by National Science Foundation  - Electrical and Communications Systems Division, Power, Controls and Adaptive Networks Subdivision through the CAREER program, under grant number ECS 0239090

 

Here are some specific projects I am currently working on or have recently worked on. A list of publications and a list of recent and active grants are also available, where you may download relevant papers.

 

 

Ensemble (Multiple Classifier) Systems:

Incremental Learning, Nonstationary Learning Data Fusion and The Missing Feature Problem⁽¹⁾

Relatively new area of study within computational intelligence and pattern recognition, ensemble systems have been shown to have desirable properties over single classifier systems. Ensemble systems can provide better generalization performance than any of the individual classifiers that make up the ensemble, including the best one. They are typically more robust, resistant to over-fitting problems, and can be used to address several different types of problems, such as incremental learning, conmcept drift confidence estimation, data fusion and the missing feature problem.  For more information see the Ensemble Systems pages.

Robi Polikar

Research

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