
Beth A. Plale
Michael A and Laurie Burns McRobbie Bicentennial Professor of Computer Engineering
Director, Data to Insight Center
Affiliate faculty, Ostrom Workshop
Contact Information
plale@indiana.edu
(812) 855-4373
Luddy Hall (700 N. Woodlawn Ave) 4124
http://bethplale.com
Office hours: T 11:00, Th 12:00
Education
- Postdoctoral Fellow at Georgia Institute of Technology, 2001
- Ph.D. in Computer Science at State University of New York Binghamton, 1998
- M.S. in Computer and Information Science at Temple University, 1992
- MBA at University of LaVerne, 1986
Courses Taught at Luddy
- B438 Fundamentals of Computer Networks
- B534 Distributed Systems
- B649 Systems Support for Wide Area Applications Systems
- B669/I590 Topics in Data and Search Informatics
- E599 Introduction to Artificial Intelligence Concepts and Infrastructure
- I435/I535 Management Access and Use of Big and Complex Data
- I590 Topics in Data and Search Informatics
- P436 Introduction to Operating Systems
Biography
Dr. Plale's research interest and expertise is in the areas of Smart and Connected Communities, Open Science, and Responsible AI in High Performance Computing (HPC). Communities serve their citizens through provisioning of basic services. Selective application of new technologies and services can enhance community services and reduce overall cost. Plale, through the Data To Insight Center, researches new tools, frameworks, and organizational approaches for socially responsible application of new technology in smart and connected communities. HPC is being used in ways that increasingly touch people's lives. Plale researches new technical and cultural approaches to HPC that enable more transparency in science, open science, and responsible use. Dr. Plale is Director of the Data To Insight Center and founder and past director of the HathiTrust Research Center. She is past Science Director of Pervasive Technology Institute (PTI).
Research Areas
- Data Science
- Intelligent Systems
- Artificial Intelligence
- High Performance Computing
- Parallel and Distributed Computing