Central Connecticut State University

Faculty Member, Computer Science

Assistant Professor

The Carol A. Ammon School of Arts & Sciences

Thesis Title: A Data Mining Approach To Rapidly Learning Traveler Activity Patterns For Mobile Applications

Peter C. Nelson
Abolfazl (Kouros) Mohammadian

About

I am an Assistant Professor in the Department of Computer Science at Central Connecticut State University.  My primary research interest is in applying machine learning and data mining techniques to practical problems, particularly network and spatial applications.  I have a BS in CS from Cornell University, a MS in CS from DePaul University, and a PhD in Computer Science at the University of Illinois at Chicago (UIC). . 

I was an IGERT Fellow in UIC's Computational Transportation Science program, a new field that combines the cutting-edge of several fields in a multi-disciplinary effort to improve surface transportation systems. My Ph.D. advisors were Peter Nelson (Computer Science) and Abolfazl (Kouros) Mohammadian (Civil and Materials Engineering).  These problems include everything from real-time route planning based on traffic congestion patterns to multi-modal commuting options integrating live public transit location information. 

My dissertation research involved algorithms and techniques for transfer learning of individual travel behavior across different geographies. The focus of this research was leveraging transferrable aspects of travel behavior and patterns to reduce learning time, while also creating a richer model of the individual traveler. This research effort identified algorithms and techniques needed to address the problem of learning and predicting the activity needs of an individual for anticipating their associated travel demands.  The goal of this work was to enable intelligent travel applications by providing insight into an individual’s future travel plans and scheduling preferences.  A major component of this effort was to provide this insight without compromising user privacy.

During my masters research with Dr. Bamshad Mobasher at DePaul University, we examined techniques for securing recommender systems. This project focuses on identifying weaknesses of existing recommendation algorithms, exploring more robust recommendation techniques, and limiting the impact of attacks on these systems.

Contact Information

Homepage:

http://cs.ccsu.edu/~williams/

Address:

Chad Williams
Maria Sanford Hall
1615 Stanley Street
New Britain, CT 06050

 

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