Tomasz G. Smolinski

Field(s) of Interest: 

Computational Intelligence, Computational Neuroscience, Bio(logical)informatics, Legal Informatics, Machine Learning, Data Mining, Science Education

Research Interest: 

Throughout my entire academic career, I have pursued interdisciplinary research linking information technology and computer science with other sciences, as well as business and industry. The areas in which I have worked range from experimental neurobiology and bioinformatics, through audio/video engineering, e-Commerce and supply chain management, to university fiscal and facilities management. These experiences have afforded me the invaluable opportunity to work in collaboration with many scientists, as well as practitioners in the administrative and business fields, and to apply recent advances in computer science and information technology to real-life problems in those areas. However, my greatest passion has always lain in the practical applications of computational methods in the "bio field."

In my lab--the Computational Intelligence, Biological, and Legal Informatics Lab, or CIBiLI--we apply various Computational Intelligence methods (e.g., evolutionary algorithms, rough sets, fuzzy logic, artificial neural networks, etc.) to solve problems in the (very broadly defined) fields of biological sciences and the law. Our projects range from exploration and analysis of large parameter spaces of neuronal models to annotation of amino-acid sequences for protein function prediction. The results of our studies provide insights into how biology responds to changing environments and perturbations, such as diseases, as well as into the molecular mechanisms underlying those diseases. Our newest area of interest lies in the applications of computational intelligence, most notably fuzzy logic, in litigation support systems.

Educational Institution: 
University of Louisville
Location: 
Louisville, KY
Degree: 
Ph.D.
Degree Year Conferred: 
2004
Field of Study: 
Computer Science and Engineering