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Michael.Robbeloth@mvnu.edu

Dr. Michael Robbeloth

Associate Professor of Computer Science

Department

School of Natural and Social Sciences

Biography

Professional Experience

  • Board President, Pathways of Central Ohio, 2023 – Present
  • Board Secretary, Pathways of Central Ohio, 2021-2022
  • Board Member, Pathways of Central Ohio, 2021-Present
  • Advisory Board Member Knox Technical Center’s Information Technology Program, 2021 –
    Present
  • Supervisor Embedded Software Engineering, PDi Communication Systems, Inc., 2015-2017
  • Embedded Software Engineer, PDi Communication Systems, Inc., 2012-2015
  • Senior Consultant and Computer Scientist (Client W.P.A.F.B, AFRL/RBSD), Data Science
    Automation (DSA), 2009-2012
  • Software Engineer, Valco Melton (Valco Cincinnati, Inc.), 2008-2008
  • System Software Engineer, Eastman Kodak Company, 2002-2008
  • Coop, Dana Corporation, 2001-2002
  • Graduate Assistant, Computer Science Department, Bowling Green State University,
    2000-2002
  • Student Research Program Contractor, Southwestern Ohio Council for Higher Education, 1999-1999

Professional Organizations

  • Associate Professor, Department of Mathematics and Computer Science, Mount Vernon Nazarene University, 2024–Present
  • Assistant Professor, Department of Mathematics and Computer Science, Mount Vernon Nazarene University, 2017-2024
  • IEEE, 2015
  • Association of Computing Machinery (ACM), 1998

Published Works & Presentations

  • Robbeloth, M., & Bourbakis, N. (2022). L-G Graphs and Voronoi Diagrams Based Recognition of Incomplete Objects Using the Standard Six-Views: A First Study. International Journal on Artificial Intelligence Tools. https://doi.org/10.1142/S0218213022500361
  • Robbeloth, M. (2019). Recognition of Incomplete Objects based on Synthesis of Views Using a
    Geometric Based Local-Global Graphs. (Electronic Thesis or Dissertation). Retrieved from
    https://rave.ohiolink.edu/etdc/view?acc_num=wright1557509373174391
  • Robbeloth, M. & Bourbakis N., Recognizing Objects from their Incomplete
    Representation: A Survey, Int. IEEE Conference on IISA, Chalkidiki, Greece, July 2016
  • Robbeloth, M., & Bourbakis, N. (June 2015). An LG Graph Monitoring Scheme for
    Representing Incomplete Objects, IEEE National Aerospace & Electronics Conference
    & Ohio Innovation Summit (NAECON-OIS)

Presentation & Posters:

  • Latham, D., & Robbeloth, M. (2022). Investigations and Improvements into an Incomplete Object Characterization Algorithm. Presented at the SPUR Breakfast in November, 2022.
  • Riffle, S., & Robbeloth, M. (2022). Machine Learning Investigations and Improvements for Matching of Incomplete Objects. Presented at the SPUR Breakfast in November, 2022.

Reviewer

  • ACM Student Research Competition (SRC) for SIGCSE 2022
  • ACM Technical Symposium (TS) on Computer Science Education for SIGCSE 2022-Present
  • ACM Committee on Special Projects, Travel Grants, and Speaker’s Fund 2022-Present

Grants & Special Funding

  • Technology Innovation in Education (TIE) Grant (2022) ­– $3,000 for a VestaBoard to explore the use of alternative output devices in programming assignments in CS1 and CS2 courses.
  • Summer program in undergraduate research (SPUR) research (2022) – $9,000 for a new server and Graphical Processing Unit (GPU) Accelerator.
  • Summer program in undergraduate research (SPUR) research (2023) – $7,000 for server upgrades including additional GPU accelerators.

Degrees

  • Ph.D. Department of Computer Science & Engineering, Wright State University, Dayton, Ohio (2019)
  • MBA in Finance Concentration, University of Dayton, Dayton, Ohio (2011)
  • M.S. Department of Computer Science, Bowling Green State University, Bowling Green, Ohio (2002)
  • B.S. (Dual Major Computer Science & Mathematics), Wilmington College, Wilmington, Ohio (2000)

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