As part of moving back into teaching after a long career in systems work, I undertook and completed a Computer Science research doctorate at the Seidenberg School of Computer Science and Information Systems at Pace University in NY.
My dissertation research—conducted in conjunction with senior investigators at IBM
Research in Hawthorne, NY—focused on the use of Machine Learning techniques to autonomously
create annotated training & testing corpora (databases of pre-labeled examples) for use by researchers in any number of domains.
The specific domain of the corpora described in the dissertation was comprised of
e-mail spam and desirable e-mails used for anti-spam filtering research.
I expect my future research to continue pursuing similar lines of inquiry using Machine
Learning in some form, though I am also exploring other topics as well, for example,
research into pedagogical issues surrounding the teaching of Computer Science at the
university level and the use of intelligent, network-based tools to promote learning.
I am a long-standing member of the IEEE Computer Society, the ACM (Association for
Computing Machinery), and AAAI (the American Association for Artificial Intelligence).