Daniel Berleant
Daniel Berleant, Ph.D. is a Professor in the Department of
Information
Science, College of Engineering and Information Technology, University
of Arkansas at Little Rock. He also serves in the University of
Arkansas at Little Rock/University of Arkansas for Medical Sciences
Joint Bioinformatics Program. A former Interim Department Chair, he has
previously been at Iowa State University (Dept. of Electrical and
Computer Engineering, with ancillary appointments in the Lawrence Baker
Center for Bioinformatics and Biological Statistics, the Human-Computer
Interaction Program, and the Information Infrastructure Institute) and
the University of Arkansas, Fayetteville (Dept. of Computer Science and
Computer Engineering, adjunct in Electrical Engineering).
Daniel earned his Ph.D. from the University of Texas at Austin in 1991.
His
BS is from MIT. He has worked in industry as a software engineer and
taught
courses to students ranging from the freshman to the advanced graduate
levels. He and his students’ research has been funded through
the
National Science Foundation, National Institutes of Health, the
Corporation
for National and Community Service, and other agencies; and through
industry including Procter and Gamble, Electricité de France,
Invitrogen,
and others. Research areas have included artificial intelligence,
inference
under severe uncertainty, web science, energy, text mining, and
bioinformatics.
He has graduated five Ph.D. students and over 30 master’s
degree
students, and taught a wide variety of courses from the freshman to the
advanced graduate levels. He is an author of over 90 scholarly papers,
and
led the development of four significant software projects. One
article,
Robert’s
Rules of Order for e-mail
meetings (with B. Liu), is on the IEEE Computer Society’s
“Top Takes on Computing
Technology” list because, according to Computer Society, it has
“appeared
in the Top Ten Articles listings, which are identified by actual &
visitor’s views.”
Daniel’s book
The Human Race to the Future: What Could Happen
— and What to Do is
published right
here at the
Lifeboat
Foundation. This book describes a broad range of scientifically
well-founded possible futures, and is aimed at readers like you.
