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 Appointments & Affiliations
Recent Publications
Carbohydrate 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 CitePredicting Student Performance Using Discussion Forums' Participation Data
Conference ASEE Annual Conference and Exposition, Conference Proceedings · June 23, 2024 A significant gap in education lies in the need for mechanisms that enable early detection of potentially at-risk students. Through access to an earlier prediction of student performance, instructors are given ample time to meet with and assist under-achie ... CiteSelf-supervised Multi-Modal Video Forgery Attack Detection
Conference IEEE Wireless Communications and Networking Conference, WCNC · January 1, 2023 Video forgery attacks threaten surveillance systems by replacing the video captures with unrealistic synthesis, which can be powered by the latest augmented reality and virtual reality technologies. From the machine perception aspect, visual objects often ... Full text CiteRecent Grants
KEEN Annual Support
ResearchPrincipal Investigator · Awarded by Kern Family Foundation · 2024 - 2026View All Grants