Michael Redmond, Ph.D.

Associate Professor
Computer Information Science, Computer Science, Cybersecurity, Data Science Certificate, Economic Crime Forensics, Fraud and Forensic Accounting Certificate, Full Stack Engineering Certificate
Location:
Holroyd 131

I am an Associate Professor of Computer Science at La Salle. I have been at La Salle since 1999, and have taught a wide variety of courses including programming, databases, data warehousing, data mining, artificial intelligence, user interfaces, and non-majors. Prior to that, I taught for eight years at Rutgers-Camden.

My research has mostly been in the areas of case-based reasoning and data mining. My most recent paper (with Dr. Highley) concerned detecting and eliminating anomalous cases from a dataset. I also have a paper (with Drs Tavana and Joglekar of the business school) on automated clustering of entity-relationship diagrams.

I am a member of the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery (ACM), including special interest groups on Artificial Intelligence (SIGART) and Computer Science Education (SIGCSE).

Areas of Expertise

  • Data Mining
  • Case-Based Reasoning
  • Databases

Education

  • Ph.D., Computer Science, Georgia Institute of Technology
  • M.S., Computer Science, Georgia Institute of Technology
  • B.S. Computer Science and Management Science, Duke University

Teaching

  • Introduction to Computing (Business, Science, and general)
  • Programming Concepts and GUIs (VB)
  • Object Programming (Java)
  • Introduction to Data Structures and Algorithms
  • Database Management Systems
  • Database Applications
  • Project Design
  • Project Implementation
  • Artificial Intelligence
  • Data Mining
  • User Interface Technology
  • Intelligent Systems Technology
  • Data Warehousing
  • Advanced Computing with Java

Research

Publications

  • Redmond, M. and Highley, T. (2009) Empirical Analysis of Case-Editing Approaches for Numeric Prediction. International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 09) – International Conference on Systems, Computing Sciences & Software Engineering (SCSS 09), November 2009, Bridgeport CT.Springer-Verlag.
  • Tavana, M., Joglekar, P., and Redmond, M.(2007) An Automated Entity-Relationship Clustering Algorithm for Conceptual Database Design,  Information Systems Journal. 32 p773-792.
  • Redmond, M. & Line, C. (2003). Empirical Analysis of Case-based Reasoning and Other Prediction Methods in a Social Science Domain: Repeat Criminal Victimization. In Case-Based Reasoning Research and Development; Proceedings of 5th International Conference on Case-Based Reasoning, Ashley, K. & Bridge, D. (eds.), June 2003, Trondheim, Norway. Springer-Verlag, p452-464.
  • Redmond, M. & Baveja, A. (2002). A data-driven software tool for enabling cooperative information sharing among police departments. In European Journal of Operational Research. Volume 141, Number 3, September 16, 2002, p662-680.
  • Redmond, M. (2001). A Computer Program to Aid Assignment of Student Project Groups. In Proceedings of the Thirty-second SIGCSE Technical Symposium on Computer Science Education and in SIGCSE Bulletin, Vol. 33, Number 1, March 2001. ACM Press. p134-138.

Outside Interests and hobbies

  • Running
  • Swimming
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