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 2017: TU 11:15a-12:30p TH 4-4:45p (until November 30, 2017)
Extra Officehours: We., Dec. 6, 3-3:30p and Th., Dec. 7, 10-11a


Research

Areas of Expertise:

    Knowledge Discovery and Data Mining
    Evolutionary Computing
    Data Analysis and Making Sense of Data
    Geographical Information Systems (GIS)
    Databases
    Artificial Intelligence

Current Research Projects

    Change Analysis and Event Detection Frameworks for Spatio-temporal Datasets
    Developing Planning Tools for Disaster Recovery
    Taxonomy Generation: Learning Class Hierarchies from Training Data
    Clustering and Hotspot Discovery Algorithms with Plug-in Fitness Functions and Other Non-Traditional Clustering Approaches
    Predicting, Risk Assessment, and Ultimately Understanding of Flooding


Students

I have the privilege of working with the following students in 2016 and 2017:

PhD Students: Yongli Zhang, Fatih Akdag, Romita Banerjee and Chong Wang.
Master Students: Christariny Hutapea, Yue Cao, Priyal Kulkarni, Karthik Bibireddy, and Rohith Jidagam.
Undergraduate Students: Alex Lam and Hasnain Bilgrami.
Visiting/Exchange Students: Karima Elgarroussi.
Contributing Alumni: Sujing Wang and Paul Amalaman.

Publications/Collaborations


Teaching


Recent and Current Service

2011-2013, I served as the Associate Chairman for the Deparment of Computer Science. I served on the Faculty Search Committee 2005-2006 and 2007-2010 and 2014-... 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 Barcelona, Spain in December 2016), for the International Symposium on Methodologies for Intelligent Systems (ISMIS, to be held in Lyon, France in October 2015), for the International Conference on Machine Learning and Data Mining (MLDM, to be held in New York City in July 2016), and for the Pacific Asia Conference on Knowledge Discovery and Data Mining to be held in Auckland, New Zealand in April 2016.



2017 Travel
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: November 5, 2017