Methods and Models: Data Science for Campus Parking

Professor John Hoag
Associate Professor, Ohio University
11:15-12:15pm Monday, 13 August 2018 in ITE 325B

How can data science improve the parking experience for students, faculty, and staff? Or are there other motives at work? This talk will define and approach this perennial campus problem from perspectives of telematics and modeling, starting with the “Smart Cities” life cycle of data collection and analysis – from best practices through optimization. Next, we will consider relevant probabilistic models and their implementations over a century of study. We will conclude by discussing unintended consequences such as LPRs and other outcomes.

Dr. John Hoag is Associate Professor of Information and Telecommunication Systems at Ohio University in Athens, OH. He earned Ph.D. and M.S. Degrees in Operations Research from Ohio State University and holds a Bachelor’s degree in Computer Science. His current portfolio can be termed Smart Cities, which subsumes transportation, energy, finance, public health, and more, for which he is forming interdisciplinary public-private teams whose scope encompasses data collection, telemetry, storage, and analysis. The Smart Cities displaced work he started in bioinformatics and translational biomedical science, where his efforts focused on computational complexity and system performance. He maintains an adjunct appointment in EECS at Case Western Reserve University.

Host: Dr. Richard Forno (*protected email*)

The post talk: Methods and Models: Data Science for Campus Parking, 11:15am Mon 8/13 appeared first on Department of Computer Science and Electrical Engineering.

• More Information about talk: Methods and Models: Data Science for Campus Parking, 11:15am Mon 8/13