Dr. John Angelis

Education: Ph.D, Operations Research, Case Western Reserve University, May 2009. B.E., Industrial and Systems Engineering,Youngstown State University, May 2002. Minor in Economics. NASA Ohio SGC Scholar, 2000-2002

Industry History

Skill Sets: Experience in R, SPSS, Excel, Project, SAP, Arena, Visual Basic, C++ Coursework in Optimization, Data Mining, and Complex Systems.

Industry Employment: United States government (Summer 2003), Graduate Intern.

General Electric, Ravenna Lamp, (Spring/Summer 2001), Co-op Engineer. Assisted Six Sigma Black Belt in implementing quality control system, created data collecting and analysis computer program.

Academic History

Academic Employment: Visiting Assistant Professor in Operations Management, University of Maine (2019 - Present). Assistant Professor in Management,Elizabethtown College (2014-2019), Rochester Institute of Technology (2008-2014). Visiting Assistant Professor, University of Wisconsin-Milwaukee (2007-2008).

  • Taught Quantitative Methods, Project Management, Operations Strategy, and Management of Innovation and Technology for MBA and undergrad students
  • Created class projects in technology with dozens of small businesses and startups (including Blackbaud, Blend Studios, RIT Venture Creations, and Social Enterprise Institute at Etown)
  • Active in interdisciplinary work: business liaison for Data Analytics Center at Elizabethtown, partnered with Engineering faculty on interdisciplinary technology projects and education.
  • Publications in Entrepreneurship and Operations (see Google Scholar for JN Angelis).

Positions:

  • CIO, INFORMS Technology, Innovation Management, and Entrepreneurship Society, 2012-2017. Distinguished Service award, 2018
  • Co-Coach, RIT Debate Team, 2011-2014
  • Editorial Board Member¸ IEEE Transactions for Engineering Management , 2014-present
  • Captain, COMAP Interdisciplinary Contest in (Math) Modeling team, 2000: team of three (all second-year students or younger) received Meritorious Rating in intercollegiate data modeling contest.