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Associate Professor Department of Computer Science, Center for Imaging Science (cross-appointment) Director, Document and Pattern Recognition Laboratory Rochester Institute of Technology (NY, USA)  |
Research
The research problems that I work on involve pattern recognition, machine learning, information retrieval, and human-computer interaction. Currently my main research interests are the theory and tools used to construct pattern recognition systems, document recognition and retrieval (including OCR, and recognizing diagrammatic notations such as math), CAPTCHAs (test used to distinguish people from machines, e.g. using distorted text), and both text and image-based document retrieval.
I direct the Document and Pattern Recognition Laboratory in the Department of Computer Science (for information on the DPRL, click on the image below). Through the DPRL, I have had the pleasure of working with a number of excellent undergraduate and graduate students from both the Department of Computer Science and the Center for Imaging Science. Demonstrations of their work, along with .pdf files for theses completed in the DPRL are available from the DRPL web pages.
Before joining RIT, I worked in a number of labs including the Centre for Pattern Recognition and Machine Intelligence, the Diagram Recognition and Medical Computing labs at Queen's University (Canada), Legasys Corporation (a legacy software solution company), and at the Xerox Research Center Webster here in Rochester.
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One application I've been involved with is DRACULAE, a program that parses a list of math symbols with locations to produce LaTeX and operator tree output. DRACULAE is part of the Freehand Formula Entry System (shown on the left), which is available for download. Here are some other math editors using recognition that I'm aware of:
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