Back to Faculty Directory

Dr. Eric Breimer is currently vice president of the Education Special Interest Group (EDSIG) of AITP and helps to organize scholarly conferences (EDSIGCON and CONISAR) in Information Systems Education and Applied Research. Dr. Breimer's scholarly work focuses on Applied Machine Learning and using web-based technology in pedagogy. His work helps guide faculty in the use of technology to improve education through technology-rich hands-on learning. His work has been published in peer-reviewed journals and presented at top refereed conferences. His most recent paper titled "Detecting Compromised Implicit Association Test Results using Supervised Learning" was presented at the 17th IEEE International Conference on Machine Learning and Applications in December 2018 in Orlando, FL.

Degree Program University
Ph.D. Computer Science Rensselaer Polytechnic Institute
M.S. Computer Science Rensselaer Polytechnic Institute
B.S. Computer Science Binghamton University
A.S. Computer Science Dutchess Community College

My Siena Experience

My Teaching Philosophy

My goal is to teach students how to use high-level programming and information systems to solve problems in business and science that will make the world a better place.  I believe a Liberal Arts education is the foundation of life-long learning and Computer Science compliments this foundation by teaching computational thinking and problem solving skills that are incredibly valuable in most careers.  At Siena, students can get a timeless Liberal Arts education and an outstanding Computer Science education in one place.

My Favorite Courses to Teach

Web Application Development and Theory of Computation.

My Professional Experience

Year Title University
2008 - Now Associate Professor, Computer Science Siena College
2002 - 2008 Assistant Professor, Computer Science Siena College
1999 - 2002 Instructor, Computer Science Rensselaer Polytechnic Inst.

Articles & Book Reviews

  • Detecting Compromised Implicit Association Test Results using Supervised Learning
    IEEE International Conference on Machine Learning and Applications (ICMLA)
    2018
  • Full Flip, Half Flip and No Flip: Evaluation of Flipping an Introductory Programming Course
    EDSIG Conference on Information Systems and Computing Education
    November, 2015
  • Using a Flipped Course for 2-year College Outreach
    EDSIG Conference on Information Systems and Computing Education, vol. 1
    2015
  • Developing 21st Century Communicators
    Information Systems Education Conference (ISECON), vol. 29
    2012
  • Market Basket Analysis for Non-Programmers
    Information Systems Education Journal, vol. 10
    2012
  • A Study of Video-based versus Text-based Labs for a Management Information Systems Course
    Conference on Innovation and Technology in Computer Science Education
    2011
  • A study of video-based versus text-based labs for a management information systems course.
    ITiCSE (Innovation and Technology in Computer Science Education)
    2011
  • Market Basket Analysis for Non-Programmers, Proceedings of the Information Systems
    Information Systems Education Conference (ISECON), vol. 28
    2011
  • Towards an Innovative Web-based Lab Delivery System for a Management Information Systems Course
    Information Systems Education Journal, vol. 9
    2011
  • Co-'Lab'oration: A New Paradigm for Building a Management Information Systems Course
    Information Systems Education Journal, vol. 8
    2010
  • Labs First: A Computer Scientist's Guide to Teaching Management Information Systems
    Journal of Computing Sciences in Colleges
    2009
  • Discovering Optimization Algorithms Through Automated Learning
    DIMACS Series in Discrete Mathematics and Theoretical Computer Science
    2005
  • Intrusion Detection: A Bioinformatics Approach
    Annual Computer Security Applications Conference
    December, 2003
  • A Learning Algorithm for the Longest Common Subsequence Problem
    ACM Journal of Experimental Algorithms, vol. 8
    2003
  • A Supervised Learning Approach for Detecting Significant Local Alignments
    International Conference on Research in Computational Molecular Biology
    April, 2002
  • Learning Significant Alignments: An Alternative to Normalized Local Alignment
    Symposium on Methodologies for Intelligent Systems, vol. 2366
    2002
  • Experimental Evaluation of the Height of a Random Set of Points in a d-dimensional Cube
    Workshop on Algorithm Engineering and Experiments (ALENEX)
    January, 2001
  • On the Height of a Random Set of Points in a d-dimensional Unit Cube
    Journal of Experimental Mathematics, vol. 10
    2001
  • A Learning Algorithm for the Longest Common Subsequence Problem
    Workshop on Algorithm Engineering and Experiments (ALENEX)
    January, 2000
  • A Task-based Architecture for Application-aware Adjuncts
    International Conference on Intelligent User Interfaces
    January, 2000

Awards & Distinctions

  • Computer Science Department, Rensselaer Polytechnic Institute, Highest Academic Award for Graduate Students
    Category: Other
    Robert McNaughton Prize, 2002

Presentations

  • Beyond #MeToo: Uprooting unconscious bias in STEM fields
    2018
    EDSIG Conference on Information Systems and Computing Education, Norfolk, Virginia
  • On the Shoulders of Giants: Mobile Websites with Twitter Bootstrap
    2013
    Information Systems Education Conference (ISECON), San Antonio, Texas
  • Exposing Students to Big Data: Hands-on Market Basket Analysis with Access
    2012
    Information Systems Education Conference (ISECON), New Orleans, Louisiana
  • A Study of Video-based versus Text-based Labs for a Management Information Systems Course
    2011
    Conference on Innovation and Technology in Computer Science Education, Darmstadt, Germany
  • Market Basket Analysis for Non-Programmers, Information Systems Education
    2011
    Information Systems Education Conference (ISECON), Wilmington, North Carolina
  • Towards an Innovative Web-based Lab Delivery System for a Management Information
    2010
    Information Systems Education Conference (ISECON), Nashville, Tennessee
  • Co-'Lab'oration: A New Paradigm for Building a Management Information Systems Course
    2009
    Information Systems Education Conference (ISECON), Washington, District of Columbia
  • Labs First: A Computer Scientist's Guide to Teaching Management Information Systems
    2009
    Consortium for Computing Sciences in Colleges Northeastern Conference (CCSCNE), Plattsburgh, New York
  • Clustering the Protein Databank
    2006
    Computers in Scientific Discovery III, Ghent, Belgium
  • Experimental Evaluation of the Height of a Random Set of Points in a d-dimensional Cube
    2001
    Workshop on Algorithm Engineering and Experiments (ALENEX), Washington, District of Columbia
  • A Learning Algorithm for the Longest Common Subsequence Problem
    2000
    Workshop on Algorithm Engineering and Experiments (ALANEX), San Francisco, California