Richard Segall - Professor

Phone: 870-972-3989 (Office)
Address: Arkansas State University I College of Business I Department of Computer & Information Technology I State University AR 72467-0130


Arkansas State University, Computer & Information Technology

Cluster Identification:
- Comparative Metabolomics, Genomics and Metabolic Engineering Cluster
- Plant Productivity 'Set-Points' Cluster

Research Areas/Expertise:
- Bioinformatics
- Transformation Technologies

Research Summary | Selected Publications | Lab Members | Key Collaborators | Research Projects | Links

Research Summary:

Research pertains to applications of data mining, text mining, and web mining to bioinformatics data, and medical record linkage. Research publications include those that pertain to data visualization and mining, and statistical quality control of micro-array gene expression data using various software technologies.

Selected Publications:

Richard S. Segall, Jeffrey S. Cook, and Qingyu Zhang (Editors), Research and Applications in Global Supercomputing, IGI Global (2015), 672 pages, ISBN 978-1-4666-7461-5.

Zhang, Q and Segall, RS and Cao, M, Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications, IGI Global, Hershey, PA, 2011, 350 pages, ISBN 13: 978-1-60-960102-7.

Segall, RS and Zhang, Q,”A Survey of Selected Software Technologies for Text Mining”, Software Applications: Concepts, Methodologies, Tools, and Applications, Editor P. F. Tiako, Volume 2, Chapter 3.4, pp. 1164-1181, Information Science Reference, Hershey, PA, 2009, ISBN 978-1-60566-060-8.

Lu, S and Segall, RS, “Statistical Quality Control of Microarray Gene Expression Data”, Journal of Systemics, Cybernetics and Informatics (JSCI), Vol. 9, Number 7, 2011. pp. 63-68

Segall, RS, Zhang, Q, and Pierce, RM, “Data Mining Supercomputing with SAS JMP® Genomics”, Journal of Systemics, Cybernetics and Informatics (JSCI), Vol. 9, No. 1, 2011, pp.28-33.

Segall, RS and  Pierce, RM., “Advanced Data Mining of Leukemia Cell Micro-Arrays”, Journal of Systemics, Cybernetics and Informatics (JSCI), Volume 7, Number 6, 2009, pp.60-66.

Segall, RS and Zhang, Q “Data Visualization and Data Mining of Micro-Array Databases for Biotechnology”, Proceedings of the 2006 Conference of Applied Research in Information Technology, sponsored by Acxiom Laboratory for Applied Research (ALAR), University of Central Arkansas, March 3, 2006, pp. 121-128.

Lab Members:

Key Collaborators

Research Projects

"Enabling Specialty Crop Deregulation with Software: a Prototype", Daniel Berleant (UALR), Elizabeth Hood (ASU), and Richard Segall (ASU), funded in 2009 by Arkansas Science and Technology Authority (ASTA) for $91,571.

“Investigating the formation of nodule-like structures in land plants”, Arijit Mukherjee (UCA) and Richard S. Segall (ASU), P3 Program Development Grant from Arkansas Science and Technology Authority (ASTA), August 1, 2014-July 31, 2015, $75,000.


Click here for current CV

ASU College of Business Faculty Home Page

Invited Plenary Address at International Institute of Informatics and Systemics (IIIS) Conference titled: “Dimensionalities of Knowledge Discovery using Data, Text and Web Mining”, 16th Multi-conference on Systemics, Cybernetics and Informatics (WMSCI 2012), Orlando, FL, July 17-20, 2012. Recorded Video posted on web at: and also on YouTube at URL:

 Segall, Richard, “Dimensionalities of Computation: from Global Supercomputing to Data, Text and Web Mining”, Invited Plenary Keynote Address at WMSCI 2013 and its Collocated Events, The 17th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2013, July 9-12, 2013, Orlando, FL, USA, Video available at:

Segall, Richard S., “Research and Applications in Global Supercomputing: An Interdisciplinary Science”, Invited Plenary Keynote Address at General Joint Sessions and Workshops of WMSCI 2014 and its Collocated Events, International Institute of Informatics and Systemics (IIIS), July 15-18, 2014 , Orlando, Florida, USA. Video and PowerPoint slides available at: