• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Press Room
  • /2018 News
  • Home
  • /Press Room
  • /2018 News

Prof. Travis Doom Selected to Receive the 2018 Computer Science & Engineering Undergraduate Teaching Award

Travis DoomTravis DoomLOS ALAMITOS, Calif., 25 January 2018 – Travis Doom, Professor and Associate Chair in the Department of Computer Science and Engineering at Wright State University (WSU), was named the recipient of the 2018 Computer Science and Engineering Undergraduate Teaching Award.

Doom was recognized by the IEEE Computer Society “for tremendous contributions to Computer Science and Engineering through a balanced career incorporating research, mentoring of students, curriculum and pedagogy development, and service.” 

Serving as the Faculty President of WSU, Doom is a co-director of WSU's bioinformatics research group and pursues research in the fields of undergraduate engineering education, data science, bioinformatics, and digital/computer systems. His education research focuses on the impact of active learning and culturally relevant teaching on student success in STEM.

Doom expressed that he would not mind being remembered as someone who spent "too much effort" on his teaching.  He was awarded the position of WSU's Robert J. Kegerreis Distinguished Professor of Teaching (2014-2017), was awarded an Outstanding Engineers' and Scientists' Award (Education) by the Affiliate Societies Council of Dayton (2015), and was Southern Ohio Council for Higher Education's (SOCHE) awardee for Excellence in Teaching (2014).  Doom served on the Faculty Advisory Board for WSU's Center for Teaching and Learning from 2014 to 2016.

A WSU faculty member since 1998, Doom was the 2000 and 2005 recipient of the WSU College of Engineering Excellence in Teaching award, a 2001 invitee to the Ohio Teacher's Excellence Program (OTEP), and a 2002-sponsored attendee of the National Effective Teaching Institute (NETI). Doom has disseminated his educational work through venues including the American Society for Engineering Education (ASEE), the ACM special interest group on computer science education (SIGCSE), and IEEE Transactions on Education. Teaching interests include both undergraduate and graduate computer science, computer engineering, and electrical engineering courses.

Doom received his Ph.D. from Michigan State University.

The Computer Science & Engineering Undergraduate Teaching Award is given in recognition of outstanding contributions to undergraduate education through both teaching and service. The award consists of a plaque, certificate, and a $2,000 honorarium, and an invitation to give a talk during the presentation at a dinner and ceremony on 6 June 2018 in Phoenix, Arizona.

View more information about the award, including a list of past recipients.

LATEST NEWS
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Autonomous Observability: AI Agents That Debug AI
Autonomous Observability: AI Agents That Debug AI
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Copilot Ergonomics: UI Patterns that Reduce Cognitive Load
Copilot Ergonomics: UI Patterns that Reduce Cognitive Load
Read Next

IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT

Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)

Autonomous Observability: AI Agents That Debug AI

Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference

Copilot Ergonomics: UI Patterns that Reduce Cognitive Load

The Myth of AI Neutrality in Search Algorithms

Gen AI and LLMs: Rebuilding Trust in a Synthetic Information Age

How AI Is Transforming Fraud Detection in Financial Transactions

FacebookTwitterLinkedInInstagramYoutube
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter