Events & News
Colloquium
| Category | Lecture |
| Date | Thursday, January 16, 2014 |
| Time | 11:00 am |
| Concludes | 12:15 pm |
| Location | Gould-Simpson 906 |
| Details | Please join us for coffee and light refreshments at 10:45am in the Atrium. Faculty Host: Stephen Kobourov |
| Speaker | Ross Maciejewski |
| Title | Assistant Professor |
| Affiliation | Arizona State University |
Enabling Predictive Analytics Through Visualization
With over 16 million Tweets per hour, 600 new blogs posts per minute and 400 million active users on Facebook, businesses have begun searching for ways to turn real-time consumer based posts into actionable intelligence. The goal is to extract information from this noisy, unstructured data and use it for trend analysis and prediction. Current practices support the notion that visual analytics environments can play a large role in enabling the effective analysis of such data. In this talk, I will discuss my current research on developing visual analytics solutions for enabling data analysis for predictive analytics across a variety of domains. Examples will focus on crime analysis using geo-located criminal incidence reports and the use of Twitter in Box Office Movie Predictions.
Biography
Ross Maciejewski has been an Assistant Professor of Computer Science at Arizona State University since 2011. Prior to joining Arizona State University Dr. Maciejewski completed his PhD at Purdue University in Computer Engineering. He then served as a visiting faculty member at Purdue as a member of the Department of Homeland Security's Center of Excellence focusing on visual analytics (VACCINE). His work at Purdue's VACCINE Center was honored by the United States Coast Guard with a Meritorious Team Commendation as part of his work on the Port Resilience for Operational Tactical Enforcement to Combat Terrorism (PROTECT) Team. Dr.Maciejewski’s primary research interests are in the areas of geographical visualization and visual analytics focusing on public health, social media, criminal incident reports and dietary analysis. He has served on the organizing committee for the IEEE Conference on Visual Analytics Science and Technology (2012-2013) and for the EuroVis Conference (2014), has authored over 50 scientific publications and has been involved in award winning submissions to the IEEE Visual Analytics Contest (2010 and 2013). For more information on his current work visit http://vader.lab.asu.edu.