Signal Processing and Pattern Recognition Laboratory

Robi Polikar

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SPPRL Areas of Interest and Strength

Signal Processing and Pattern Recognition Laboratory (SPPRL) at Rowan University studies a broad spectrum of contemporary topics relevant to the area of interest. SPPRL’s main areas of strength are:

• Multiresolution wavelet / time-frequency analysis
• Adaptive filtering
• Biomedical signal analysis
• NDE signal analysis
• Neural networks
• Fuzzy inference systems
• Multiple classifier systems / ensemble of classifiers—See our Machine Learning Page
• Incremental learning—See our Machine Learning Page
• Data fusion—See our Machine Learning Page
• Missing feature problem—See our Machine Learning Page
• Electronic noses / Detection and identification of odorants

Please see our publications and grants for further information.
Please see the call for applications, if you are interested in an RA position for graduate work (MS level) in these areas.

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SPPRL Research Structure—Engineering Clinics

Research at SPPRL is conducted by both undergraduate and graduate students, as well as the faculty. SPPRL takes advantage of the Rowan Engineering’s unique hallmark of Engineering Clinics for this purpose. Engineering Clinic at Rowan is an 8-semester sequence where students work on real-world applications and/or cutting edge research. Students from each level, freshman through graduate, work in teams called integrated research and learning communities. Students are given tasks commensurate with their skills and abilities. Each clinic project is supervised by graduate students as well as the faculty. The projects in engineering clinics are generally externally funded typically through industry and/or government grants.

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Supporting SPPRL

You may support SPPRL activities in a variety of ways:

• Unrestricted support: SPPRL welcomes such supports which are typically used for funding undergraduate and/or graduate students. Unrestricted supports are considered philanthropic giving, and they are administered by the Rowan University foundation. This form of support is exempt from all administrative and indirect costs.
• Engineering Clinic Projects: Projects with a smaller and more focused scope are typically funded at a rate of around $10,000 per semester, which includes basic materials, supplies, computing equipment and administrative costs. This is the most common form of funding we receive from the industry, as companies supporting engineering clinics are recognized and acknowledged by Rowan University as Research Affiliates.
• Full Research Projects: Any project that has a substantial scope of considerable complexity are considered as full research projects. These projects are budgeted according to the scope, personnel and equipment requirements of the project.

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SPPRL Presence Around the World

SPPRL makes its presence known all over the world: SPPRL work has been presented at dozens of conferences covering almost 40 cities / 20 countries around the world! For potential students thinking joining our lab, this is a great opportunity to disseminate your work and meet other researchers. For sponsors supporting SPPRL, it is a great opportunity to get proper recognition and name recognition all over the world. Click on the picture (right) to see a larger version of the map showing SPPRL presence over the world.

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Classes and Short Courses

The following courses are regularly taught by Dr. Polikar and/or other Rowan ECE faculty:

• Theory and Applications of Pattern Recognition
• Theory and Engineering Applications of Wavelets
• Principles of Biomedical Signals and Systems
• Artificial Neural Networks
• Nondestructive Evaluation
• Digital Signal Processing / Adaptive Filters
• Digital Communications

Any of these courses can also be taught as a short course at your facility or at Rowan Hall. The wavelets course was recently taught for IEEE Philadelphia.

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For more information on what SPPRL can do for your company / institution, please contact Dr. Robi Polikar at:

(856) 256-5372

polikar@rowan.edu

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