BMusic; BA (minor) in Computer Science; MS in Computer Science; Ph.D. in Computer Science, Queen's University (Canada)
I am a Professor of Computer Science at RIT. I direct the Document and Pattern Recognition Lab (dprl) where we currently work on the MathSeer and MMLI (chemical informatics) projects. My research interests include pattern recognition and machine learning, with applications in document recognition and information retrieval.
I serve on Editorial Boards for the International Journal on Document Analysis and Recognition (IJDAR) and Pattern Recognition. I was also general chair for the International Conference on Frontiers in Handwriting Recognition (ICFHR 2018), a program co-chair for the IAPR Workshop on Graphics Recognition (GREC 2021), and will be a program chair for the upcoming International Conference on Document Analysis and Recognition being held in San Jose (ICDAR 2023).
In the News
August 28, 2020
RIT professor joins $20 million NSF project to advance chemical synthesis using AI
As part of a new $20 million National Science Foundation grant, RIT computer science professor Richard Zanibbi is using artificial intelligence to accelerate experimentation in chemistry, including finding more efficient ways to create solar cells.
June 23, 2020
RIT researchers create easy-to-use math-aware search interface
Researchers at RIT have developed MathDeck, an online search interface that allows anyone to easily create, edit and lookup sophisticated math formulas on the computer. Created by an interdisciplinary team of more than a dozen faculty and students, MathDeck aims to make math notation interactive and easily shareable, and it's is free and open to the public.