|
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).
|
