RESEARCH COLLOQUIUM ON COMPUTATIONAL SOCIAL SCIENCE/DATA SCIENCES – Mahdi Hashemi – Machine learning for smart cities

When:
November 22, 2019 @ 3:00 pm – 4:00 pm
2019-11-22T15:00:00-05:00
2019-11-22T16:00:00-05:00
Where:
CENTER FOR SOCIAL COMPLEXITY SUITE, 3RD FLOOR, RESEARCH HALL
Cost:
Free
Contact:
Karen Underwood
7039939298

Research Colloquium on Computational Social Science/Data Science

Dr. Mahdi Hashemi
Assistant Professor
Department of Information Sciences and Technology
George Mason University

Machine learning for smart cities

Friday, November 22, 3:00 p.m.
Center for Social Complexity Suite, 3rd Floor Research Hall

All are welcome to attend.

Abstract:

Cities are growing physically and digitally, faster than ever. The ever-growing population of cities, along with their intrinsic inaccessibility and inequity, has created difficulties with traffic, mobility, safety, health, pollution, and misinformation among many others. The physical and digital growth of cities outpaces the effort to address the aforementioned issues.

The growing popularity of online social networks (OSN) and World Wide Web (WWW) has remarkably expedited the information dissemination among individuals and groups. Digital data is the lifeblood of modern cities. Today, it’s being captured in large quantities at unprecedented rates via ubiquitous devices and sensors. Unfortunately, most of the generated data is wasted without extracting potentially useful information and knowledge because of the lack of established mechanisms that benefit from the availability of such data. That has turned the discussion from how the massive amounts of data are collected to how knowledge can be extracted from them.

Smart cities become smart not only because they automate routine functions serving the citizens, buildings, and traffic systems but also because they enable monitoring, understanding, analyzing and planning the city to improve the efficiency, equity, and quality of life for its citizens in real time. With physical and digital problems on one hand and big data on the other, smart cities strive to juxtapose them to find inexpensive solutions. How the digital data should be processed to help solve problems in cities remains one of the major areas of research and development in recent years and the focus of this talk

Bio:
Mahdi Hashemi, Ph.D. is an Assistant Professor in the Department of Information Sciences and Technology at George Mason University. He leads the Machine Learning and Smart Cities Group, where he also specializes in intelligent transportation, spatial-temporal data and web/social media analytics. Dr. Hashemi earned his Ph.D. in Computing and Information from the University of Pittsburgh