Michael Hahsler

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Michael Hahsler
Dept. of Engineering Management, Information, and Systems
Bobby B. Lyle School of Engineering, SMU
P. O. Box 750123, Dallas, TX 75275

office: Caruth Hall, suite 337, room 311
office hours: TTh 12:30-2:00pm or by appointment
e-mail: mhahsler (at) lyle.smu.edu (preferred)
office phone: (214) 768-8878

I am assistant professor of Engineering Management, Information, and Systems (EMIS), at the Bobby B. Lyle School of Engineering, SMU. In addition I hold a courtesy appointment with the Department of Computer Science and Engineering (CSE), SMU, and an adjunct appointment with the Department of Clinical Sciences, UT Southwestern Medical Center. I am director of the Intelligent Data Analysis Lab (IDA@SMU) and member of SMU's Center for Global Health Impact. I also serve as secretary/treasurer of the INFORMS Data Mining Section, an editor of the Journal of Statistical Software, and on the program committees for the following upcoming conferences and workshops: DATA ANALYTICS 2016, BigDaCI 2016 and PAKDD 2017.

My research interests lie in the intersection of computer science, statistical methods, and combinatorial optimization with applications in the areas of data science, data mining, data visualization and analytics. One important goal is to support reproducible research by publishing high quality software (see Software section) along with all theoretical results. My research team maintains more than 15 widely used R packages including arules, dbscan, seriation and recommenderlab. We are currently working on symbolic sequence analysis of massive data streams with applications to meteorology (hurricane intensity prediction), bioinformatics (genomics), healthcare, and simulation data analytics.
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Teaching and Service



R Logo I am lead developer of several extension packages for the R software environment for statistical computing and graphics. R has been consistently voted one of the most important tools for data mining and analytics and is one of the highest paying analytics skills.


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