The man research interests of our lab are in two areas: (1) structural bioinformatics and computational biology and (2) machine learning and pattern recognition.

Our research in structural bioinformatics and computational biology is concerned with developing computational methods for predicting protein-protein interactions and larger protein complexes and elucidating their structure, function, and evolution. In particular, we are interested in studying the macromolecular interactions between microbes and their host organisms. The developed methods are then applied to specific biological systems in collaboration with the experimental labs. Click here, if you want to learn more about our research in this area.

Our research in machine learning and pattern recognition is concerned with developing a formalism for structural representation of objects and their classes, as well as designing an inductive learning approach for determining the class representation, based on a small training set, and classification of new objects, based on the class representation. We are also working in collaboration with other computational groups on a number of applications, including computer-aided drug design and recognition of unusual human activity. Click here, if you want to learn more about our research in this area.