https://orcid.org/0000-0002-5720-8553
Overview
Rabih Younes received his PhD in Computer Engineering from Virginia Tech in 2018 after receiving his BE and MSE in Computer Engineering from the Lebanese American University in 2011 and 2013, respectively. Rabih speaks nine languages (fluent in three) and holds a number of certificates in education, networking, IT, and skydiving. He is also a member of several honor societies, including Tau Beta Pi, Eta Kappa Nu, Phi Kappa Phi, and Golden Key.
Rabih has a passion for both teaching and research; he has been teaching since he was a teenager, and his research interests include wearable computing, artificial intelligence (machine learning), and engineering education, and Middle Eastern politics. As a professor, Rabih is committed to helping his students achieve their goals and providing them with opportunities to realize that. He also focuses on their personal development and on improving their abilities to be critical thinkers, better communicators, and active members of their community and the world.
More information can be found on his personal website: www.rabihyounes.com.
Current Duke Appointments & Affiliations
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Recent Scholarly Works
CAD-AG: A Webapp for CAD-Tool-Independent Autograding of Two-Dimensional CAD Drawings
Journal article Computer Applications in Engineering Education · January 1, 2026 Manual grading of engineering drawing assignments is often time-consuming, inconsistent, and error-prone, particularly in large-scale engineering education. To address these challenges, we present “CAD-AG”, an automated grading system designed to evaluate ... Full text CiteWIP: Understanding and Addressing Barriers to Industry Engagement in Undergraduate Engineering Programs
Conference Proceedings Frontiers in Education Conference Fie · January 1, 2025 This work-in-progress research-to-practice paper presents an early-stage study aimed at advancing meaningful industry engagement in undergraduate engineering education. While such collaborations offer clear benefits for student motivation, skill developmen ... Full text CiteCarbohydrate Content Classification Using Postprandial Heart Rate Responses from Non-Invasive Wearables.
Journal article Sensors (Basel, Switzerland) · August 2024 The rising incidence of type 2 diabetes underscores the need for technological innovations aimed at enhancing diabetes management by aiding individuals in monitoring their dietary intake. This has resulted in the development of technologies capable of trac ... Full text CiteRecent Grants
KEEN Annual Support
ResearchPrincipal Investigator · Awarded by Kern Family Foundation · 2024 - 2026View All Grants