Gary M. Weiss

I am a Professor of Computer and Information Science at Fordham University. I began my career in 1985 with AT&T Bell Labs, where I remained until I joined Fordham in 2004. I started as a software engineer for private telephone switching systems, moved on to expert system development to support central office switches, and then spent my final five years at AT&T applying machine learning methods to business and marketing problems. I received my B.S. degree in Computer Science from Cornell University, M.S. degree in Computer Science from Stanford University, and doctorate in Computer Science from Rutgers University.

My research relates to machine learning and data mining and I have over one-hundred research publications in these areas. My research focused on handling the real-world issues that make learning difficult (e.g., class imbalance) until 2010, at which point I refocused my research on learning about users from their smartphone and smartwatch sensor data. I established the Wireless Sensor Data Mining (WISDM) Lab with support from a National Science Foundation grant and developed a smartphone app to identify a user's physical activity in real-time (this work started before Fitbit was released). This research was also extended to perform behavioral biometrics, so that a user could be idenfitied based on their physical movements. Since 2020 my research focuses on Educational Data Mining (EDM) and I currently co-direct the EDM lab with two colleagues. We are actively conducting research on interesting topics such as: how to assess instructors objectively based on future performance of their studnets, mining course sequences and their impact on educational outcomes, identifying gender and culture bias in graduate letters of recommedation, and detecting Chat-GPT generated admissions materials and general text.

Students who are interested Educational Data Mining can contact me about joining the lab. I am also open to other data mining and machine learning-based research projects. If you are an undergraduate, MS student, or Ph.D. student who is interested in research, feel free to contact me. You can also learn more about my research by viewing my publications.

New and Notable

In the News

Fun Facts

I can trace my academic lineage back to (and past) Copernicus (the hard lifting was done by my advisor, Haym Hirsh).

My Erdös number is 2: Paul Erdös to Frank Hsu to Gary Weiss.

My Erdös-Bacon number, on the other hand, is infinite, and is likely to remain so.

Favorite data mining related quote: "In God we trust. All others must have data." Rick Peterson, former New York Mets pitching coach (quoted in New York Times, Jun 13, 2004).