CHRISTOPH F. EICK
(Ph.D., Karlsruhe)
Associate Professor, and
Director UH Data Analysis and Intelligent Systems Lab (UH-DAIS)

Department of Computer Science
University of Houston, Houston, TX 77204-3010.
Office: 573 Philip G. Hoffman (PGH)
Phone: (713) 743-3345 (leave message)
Fax: (713) 743-3335
WWW: http://www.cs.uh.edu/~ceick/ceick.html
Email: ceick at uh dot edu


Office Hours


Fall 2018: MO 4-4:45p WE 1-2:15p (starting Mo., August 20, 2018)
Exceptions: No office hour on Monday, October 8 and on Wednesday, November 7.


Research

Areas of Expertise:


Knowledge Discovery and Data Mining
Evolutionary Computing
Data Science
Geographical Information Systems (GIS)
Artificial Intelligence


Current Research Projects:

Interestingness Hotspot Discovery
Spatial and Spatio-temporal Data Analysis Frameworks and and their Application to Emotion Analysis, Crime Analysis, and Flood Risk Assessment
St**2—Tools for Spatio-Temporal Data Storytelling
Development of Scalable Data Mining Algorithms
Data-Driven Flood Prediction Models
Using AI for Route Planning after Disasters
Educational Data Mining


Students



I have the privilege of working with the following students in the last 18 months:

PhD Students: Yongli Zhang, Romita Banerjee, Chong Wang and Karima Elgarroussi.
Master Students: Yue Cao, Anusha Nemilidinne, Priyal Kulkarni, Qian Qiu, Arjun SV and Akhil Talari.
Undergraduate Students: Deniz Burduroglu
Visiting/Exchange Students: Khadija Khaldi
Contributing Alumni: Sujing Wang and Paul Amalaman.



Teaching

Websites for Courses I teach:

Graduate Articial Intelligence (COSC 6368)
Undergraduate Data Mining (COSC 4335)
Graduate Data Mining (COSC 6335)
Graduate Machine Learning (COSC 6342)
Advanced Machine Learning (COSC 7362)
Evolutionary Programming (COSC 6367)


Recent and Current Service

2011-2013, I served as the Associate Chairman for the Department of Computer Science. I served on the Faculty Search Committee 2005-2006 and 2007-2010 and 2014-16. I also served as the Director of Graduate Studies for the Computer Science Department from September 2001 to November 2004. In recent years I served on the program committee for the IEEE International Conference on Data Mining 2006-2013 and 2016-... (ICDM, to be held in Singapore in November 2018), for the International Symposium on Methodologies for Intelligent Systems (ISMIS, to be held in Cyprus in October 2018, for the International Conference on Machine Learning and Data Mining (MLDM, to be held in New York City in July 2018) and AAAI 2019 (the top US AI conference to take place in Honolulu, Hawaii end of January 2019).



2018 Travel
Current UH-DAIS Research
UH-DMML 2015 Slideshow
Irvine (ACM-GIS) Talk 11/06/2008
UL Lafayette Talk 5/01/2009
Bangalore Talk 6/29/2010
Ghent (ParCo) Talk 8/31/2011
Chicago UrbanComp Talk 8/13/2013
Dallas ACM BigSpatial Talk 11/04/2014
Lyon ISMIS 2015 Talk 10/22/2015
Newark MLDM Talk 7/20/2016
Supervised Clustering Survey Talk 7/18/2016
CV
Spatial Data Mining
Recent Publications and Submissions
Older Publications




More about myself


last updated: September 28, 2018