CHRISTOPH F. EICK
Associate Professor, and
Data Analysis and Intelligent Systems Lab (UH-DAIS)
Department of Computer Science
University of Houston, Houston, TX
Office: 573 Philip G. Hoffman (PGH)
Phone: (713) 743-3345 (leave message)
Fax: (713) 743-3335
Email: ceick at uh dot edu
Spring 2021: MO 2:30-3:30p WE 9:30-10:30a (starting We., January 20, 2021, using MS Teams)
Areas of Expertise:
Discovery and Data Mining
Current Research Projects:
Spatial and Spatio-temporal Data Analysis Frameworks and
their Application to Emotion and Anxiety Analysis and to Understanding COVID-19 Causes and Effects
St**2—Tools for Data Storytelling
Using AI to Enhance MRI Scanning and Analysis (jointly with
Summarization Techniques for Large Sets of Tweets
Role of Social Media with Respect to COVID-19 Related Stress and Anxiety
Agent-based Infectious Disease Spread Models with Applications to COVID-19
Educational Data Mining (jointly with
I have or had the privilege of working with the following students
in 2019 and 2020:
PhD Students: Steve Aigbe, Romita Banerjee, Karima Elgarroussi, Md. Mahin, Rishabh Sharma, and Chong Wang.
Master Students: Aparna Budhavarapu, Anjana Kummari, Anusha Nemilidinne, Parth Sanghani and Akhil Talari.
Undergraduate Students: Deniz Burduroglu, Jonathan Grantham, Ashish Nare and Tuyen Cao.
Visiting/Exchange Students: Riya Brahmbhatt, Haard Metha and Oumaima Mouali.
Contributing Alumni: Sujing Wang and Paul Amalaman.
Websites for Courses I teach:
Graduate Articial Intelligence (COSC 6368)
Undergraduate Articial Intelligence (COSC 4368;
2021 Syllabus webpage update on January 15, 2021)
Data Science I (COSC 3337)
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
Conference on Data Mining 2006-2013 and 2016-2019 (ICDM), for the International
Symposium on Methodologies for Intelligent
Systems (ISMIS), the Transdisciplinary
and AAAI 2019 (took place in
Honolulu, Hawaii end of January 2019).
Current UH-DAIS Research
2019 NSM Lab Crawl Presentation
UH-DMML 2015 Slideshow
Irvine (ACM-GIS) Talk 11/06/2008
Bangalore Talk 6/29/2010
Chicago UrbanComp Talk 8/13/2013
Dallas ACM BigSpatial Talk 11/04/2014
Lyon ISMIS 2015 Talk 10/22/2015
Newark Supervised Clustering Survey Talk 7/16/2016
Laguna Hills AIKE Talk 9/28/2018
Romita's Laguna Hills AIKE Talk 9/28/2018
Anusha's Rice Data Science Conference Talk 10/8/2018
Karima's Seattle Geo-AI Talk 11/6/2018
Spatial Data Mining
last updated: January 15, 2021