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$600K DoD grant funds pattern recognition research by Electrical Engineering faculty

February 19, 2019

Contact: Michael Tullier, APR, Office of Communications, Public Relations and Marketing
   

Bhuiyan and Khan at computer
Bhuiyan and Khan discussing project.

Funded by a grant from the Department of Defense, a two-member faculty research team in Tuskegee University’s Department of Electrical and Computer Engineering is seeking to improve the pattern recognition systems that undergird everything from military targeting guidance systems to medical diagnostics and assembly line automation.

Specifically, the three-year grant totaling $600,000 will develop new algorithms for automatic target detection and tracking for military applications. Entitled “Development of Automatic Target Recognition and Tracking Algorithm with Novel Detection and Classification Approaches,” the project is under the direction of principal investigator Dr. Sharif M.A. Bhuiyan and co-principal investigator Dr. Jesmin F. Khan.

Research objectives will focus on developing new algorithms and software that will improve the accuracy of pattern recognition and target tracking systems.

“Our efforts, ultimately, are not solely limited to military applications,” Bhuiyan noted. “Although the aim for these algorithms will be for military and defense operations, they, like many military innovations, are adapted by industry. We expect to see our efforts enhance other types of pattern-recognition and machine-learning applications that we interact with every day.”

Image-processing and image-detection systems are becoming more and more prevalent in our technology-laden environments. Those include biometric systems that rely on facial, fingerprint, iris and gait recognition; object classification in automatic sorting and assembly line settings; medical diagnosis; and many other machine-learning applications.

In addition to funding these research objectives, the grant also will provide undergraduate and graduate students with hands-on research experience. Funding will allow two graduate students and two undergraduate students to directly assist Bhuiyan and Khan with their efforts. They also expect to broaden student interest in image-processing research through summer workshops funded through this and future grant projects. These workshops would include current and prospective students interested in studying in STEM disciplines like engineering, technology, mathematics and science.

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