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Research

Daniel Berleant, Professor of Information Science

Daniel Berleant, Ph.D. ’91, is a Professor in the Department of Information Science, College of Engineering and Information Technology, University of Arkansas at Little Rock.

A former Interim Department Chair, he has previously served on the faculties of Iowa State University (Dept. of Electrical and Computer Engineering, with ancillary appointments in the Lawrence Baker Center for Bioinformatics and Biological Statistics, in the Human-Computer Interaction Program, and in the Information Infrastructure Institute) and the University of Arkansas, Fayetteville (Dept. of Computer Science and Computer Engineering, adjunct in Electrical Engineering).

Dr. Berleant holds Ph.D. and M.S. degrees in Computer Science from the University of Texas at Austin and a B.S. in Computer Science and Engineering from the Massachusetts Institute of Technology. Berleant’s main current research interests are technology foresight, text mining, bioinformatics, and inference under severe uncertainty. Daniel Berleant is the author or co-author of over 65 fully peer-reviewed papers and 10 book chapters, and his curriculum vitae lists primary responsibility for 4 significant software projects. He has graduated three Ph.D.’s and 36 Master’s degree students and taught a wide variety of subjects from freshman to advanced graduate level. He has been Principle Investigator on projects funded by NSF, Invitrogen Corp., The Procter and Gamble Co., Electricité de France, the Corporation for National and Community Service, the Food and Drug Administration, and others, and has consulted for Applied Biomathematics, Beta-Rubicon, LLC, and Integrated DNA Technologies, Inc. A more detailed CV is available at http://ifsc.ualr.edu/jdberleant/cv.htm.

Updated 6.5.2013