CTS Events
SEMINAR
November 14, 2012

Dr. Nebiyou Tilahun, UPP, presents a seminar entitled "An agent based model of origin destination estimation (ADOBE)" Wednesday, November 14th at 4:00 pm in Rm 1127 SEO

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SEMINAR
November 7, 2012

Mr. Thomas Murtha, CMAP, will address the CTS-IGERT community at 4:00 p.m. in Room 1127 SEO.

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SEMINAR
October 24, 2012

Please join us in welcoming Dr. Bo Zou, CME, on Wednesday, October 24th, Room 1127 SEO, 4:00 p.m.

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CTS Happenings
September 25, 2012

Award Received by Joshua Auld, CTS-IGERT alumnus.

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April 20, 2012

Congratulations to James Biagioni, CTS Fellow and CS PhD candidate, winner of the Dean's Scholar award.

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January 2, 2012

James Biagioni, CTS Fellow, receives "Best Presentation Award" at SenSys2011

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July 30, 2010

Dr. Ouri Wolfson, Dr. Phillip Yu, and Leon Stenneth, CS student and CTS Associate, recently had a paper accepted to the 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2010).

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September 22, 2009

CTS-IGERT is pleased to host a seminar by Piotr Szczurek, entitled "Machine Learning Approach to Report Prioritization with an Application to Travel Time Dissemination", on Tuesday, September 22nd at 11:00 a.m. in Room 1000 SEO.

Download: "Machine Learning Approach to Report Prioritization with an Application to Travel Time Dissemination"

Abstract: Our work looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn the relevance value of reports, which represent sensed data. The general solution is then applied to a travel time dissemination application. Through the use of offline learning, the paper analyzes the feasibility of the proposed approach and compares the accuracy performance of several common machine learning algorithms. The results show that not all machine learning algorithms may be used for prioritization and that the use of the logistic regression algorithm is particularly suited for the problem. The learned logistic regression model is then used in a simulated VANET environment. The results of the simulations show that it is better at prioritizing reports in terms of their usefulness in aiding vehicles to choose the shortest travel time paths.:

Biography: Piotr Szczurek is a 4th year Ph.D. in the Computer Science department at UIC. He has been involved in the Computational Transportation Science IGERT program since its beginning in 2006. His undergraduate degree was completed in 2005at University of Illinois at Chicago. Currently, he is working with Professor Ouri Wolfson from Computer Science department as his primary advisor and Professor Jie Lin from the department of Civil and Materials Engineering as his secondary advisor. His research focuses on applications of data dissemination in vehicular ad-hoc networks for use in travel information systems.:

For further information regarding Piotf’s work, please see: http://cts.cs.uic.edu/student_profile.php?ind=1&m=3