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
Fall 2022: TU 2-3p FR 10-11a (starting Tu., August 23, using MS Teams; or send
an e-mail to firstname.lastname@example.org and I call you back)
Exceptions: No office hour on Tuesday, November 1 and Friday, November 4!
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 conducting research with the following students
in the last 18 months:
PhD Students: Steve Aigbe, Karima Elgarroussi, Md. Mahin, Anukriti Mishra, Raunak Sarbajna, and Chong Wang.
Master Students: Aparna Budhavarapu, Anjana Kummari, Anusha Nemilidinne, Hoang Vo, Parth Sanghani and Akhil Talari.
Undergraduate Students: Max Broekhuis, Max Deniz Burduroglu, Lingwei Kong, Ashish Nare, Dwija Parikh and
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
Data Science I (COSC 3337; updated on August 17, 2022)
Undergraduate Data Mining (COSC 4335)
Graduate Data Mining (COSC 6335; updated on August 17, 2022)
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 2016-2021 (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).
2020 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
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
2022 Supervised Clustering Talk 3/3/22
Spatial Data Mining
last updated: October 20, 2022