Machine Learning in Transportation

WEDNESDAY, OCTOBER 26, 2016
Norris Center, McCormick Auditorium

The Northwestern University Transportation Center and the Center for the Commercialization of Innovative Transportation Technology co-hosted the Fall 2016 Industry Technical Workshop, Machine Learning in Transportation. In two panel sessions, industry and University experts will present case studies of: (1) applications of machine learning in personal (consumer) travel, and (2) applications of machine learning in commercial aviation and freight transportation.

Read more: Three Ways Machine Learning Will Disrupt Transportation

AGENDA & PRESENTATIONS

Session 1 - Personal Travel

Dr. Aggelos Katsaggelos, Joseph Cummings Professor of Electrical Engineering and Computer Science, Northwestern University
- On Machine Learning
- Anomalous Event Detection from Surveillance Video
Dr. Alvin Chin, Senior Researcher, BMW Technology Corporation
- The Ultimate Smart Driving Machine: Powering the Connected Car with Machine Learning
Mr. Mo Patel, Practice Director, Artificial Intelligence & Machine Learning, Teradata
- Real-Time Machine Learning for Car Insurance Applications using Telematics Data
Moderator: Mr. Tony Belkin, Head of Traffic and Dynamic Content, HERE

Session 2 - Air & Freight Transportation

Mr. Keith Dierkx, Global Travel and Transportation Rail Leader, IBM
- Cognitive computing in transportation. Use of Augmented intelligence in maintenance
Mr. Joe Becker, Field Services Manager, Uptake
- On Track to Improved Reliability: From Rules to Predictions
Mr. Ted Gifford, Distinguished Member of Technical Staff, Schneider
- Machine Learning Opportunities in Freight Transportation Operations
Moderator: Mr. Frank Bush, Senior Consultant, Teradata

EVENT CO-CHAIRS

Dr. Hani Mahmassani - William Patterson Professor of Transportation and Director of the Northwestern University Transportation Center
Mr. Bret Johnson - Director of the Center for the Commercialization of Innovative Transportation Technology