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Research Keyword: machine learning

Faculty: Pattipati, Krishna R.
Department: Electrical & Computer Engineering
Excerpt: Dr. Pattipati is the UTC Professor in Systems Engineering and Director of the Systems Optimization Laboratory. He has over 30 years of experience in supervising and performing research on a variety of problems including fault diagnosis and prognosis in cyber-physical systems; adaptive algorithms for Li-ion batteries in mobile applications; performance evaluation of large-scale computer and […]
Categories | Keywords: big data analytics, decision making, diagnosis and prognosis, dynamic resource management, Electrical and Computer Engineering, information fusion, machine learning, model-based systems engineering, systems theory and optimization

Faculty: Srivastava, Ranjan
Department: Chemical & Biomolecular Engineering
Excerpt: Dr. Srivastava’s research group focuses on using computational techniques, including mathematical modeling, machine learning, and data mining, to understand, engineer, and optimize biological processes and/or products. His research group validates their computational predictions through experimental studies. As a result, the lab has extensive experience in molecular biology, microbiology, and fermentation technology. Recent efforts include genome-scale […]
Categories | Keywords: antisense technology, bioinformatics, biotechnology, Chemical and Biomolecular Engineering, computational biology, data mining, machine learning, metabolic engineering, systems biology

Faculty: Willett, Peter
Department: Electrical & Computer Engineering
Excerpt: Peter Willett has been a faculty member in the Electrical and Computer Engineering Department at the University of Connecticut since 1986. Since 1998 he has been a Professor, and since 2003 an IEEE Fellow. He has published 187 journal- and 395 conference proceedings-articles. His primary areas of research have been statistical signal processing, detection, machine […]
Categories | Keywords: communications, data fusion, detection, Electrical and Computer Engineering, machine learning, statistical signal processing, tracking