Rabih Younes

Education

• M.S. Lebanese American University (Lebanon), 2013
• Ph.D. Virginia Polytech Institute and State University, 2018

Positions

• Associate Professor of the Practice in the Department of Electrical and Computer Engineering
• Faculty Network Member of the Duke Institute for Brain Sciences

Courses Taught

• EGR 393: Research Projects in Engineering
• ECE 899: Special Readings in Electrical Engineering
• ECE 650: Systems Programming and Engineering
• ECE 590: Advanced Topics in Electrical and Computer Engineering
• ECE 551D: Programming, Data Structures, and Algorithms in C++
• ECE 550D: Fundamentals of Computer Systems and Engineering
• ECE 496: Special Topics in Electrical and Computer Engineering
• ECE 493: Projects in Electrical and Computer Engineering
• ECE 469: Wearable and Ubiquitous Computing Systems Design
• ECE 250D: Computer Architecture
• COMPSCI 250D: Computer Architecture

Publications

• Chikwetu L, Younes R. Carbohydrate Content Classification Using Postprandial Heart Rate Responses from Non-Invasive Wearables. Sensors (Basel, Switzerland). 2024 Aug;24(16):5331.
• Gray MJ, Younes R. Predicting Student Performance Using Discussion Forums' Participation Data. In: ASEE Annual Conference and Exposition, Conference Proceedings. 2024.
• Haywood C, Younes R. Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network. In: Proceedings of the International Joint Conference on Neural Networks. 2023.
• Zhao C, Li X, Younes R. Self-supervised Multi-Modal Video Forgery Attack Detection. In: IEEE Wireless Communications and Networking Conference, WCNC. 2023.
• Younes R, Bairaktarova D. ViTA: A flexible CAD-tool-independent automatic grading platform for two-dimensional CAD drawings. International Journal of Mechanical Engineering Education. 2022 Jan 1;50(1):135–57.
• Yan Z, Younes R, Forsyth J. ResNet-Like CNN Architecture and Saliency Map for Human Activity Recognition. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. 2022. p. 129–43.
• Luo J, Li X, Younes R. Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition. In: Communications in Computer and Information Science. 2021. p. 30–42.
• Li X, Luo J, Younes R. ActivityGAN: Generative adversarial networks for data augmentation in sensor-based human activity recognition. In: UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. 2020. p. 249–54.
• Younes R, Sadler C. Simple steps to lower student stress in a digital systems course while maintaining high standards and expectations. In: ASEE Annual Conference and Exposition, Conference Proceedings. 2020.
• Li X, Younes R, Bairaktarova D, Guo Q. Predicting Spatial Visualization Problems' Difficulty Level from Eye-Tracking Data. Sensors (Basel, Switzerland). 2020 Mar;20(7):E1949.
• Davis C, Younes R, Bairaktarova D. Lab in a box: Redesigning an electrical circuits course by utilizing pedagogies of engagement. International Journal of Engineering Education. 2019 Jan 1;35(2):436–45.
• Younes R, Jones M, Martin TL. Classifier for Activities with Variations. Sensors (Basel, Switzerland). 2018 Oct;18(10):E3529.
• Younes R, Jones M, Martin T. Toward practical activity recognition: Recognizing complex activities with wide variations (Accepted). In: Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications. IEEE; 2018.
• Younes R, Groen C, Gewirtz C, Taiwo A, Cranwell L. Creative Ways of Knowing and the Future of Engineering Education. In: Bairaktarova D, Eodice M, editors. Creative Ways of Knowing in Engineering. Cham: Springer; 2016. p. 219–32.
• Younes R, Hines K, Forsyth J, Dennis J, Martin T, Jones M. The design of smart garments for motion capture and activity classification. In: Koncar V, editor. Smart Textiles and Their Applications. Woodhead Publishing; 2016. p. 627–55.
• Blake M, Younes R, Dennis J, Martin TL, Jones M. A User-Independent and Sensor-Tolerant Wearable Activity Classifier. Computer. 2015 Oct 1;48(10):64–71.
• Younes R, Martin T, Jones M. Activity classification at a higher level: what to do after the classifier does its best? In: Proceedings of the 2015 ACM International Symposium on Wearable Computers. New York, NY, USA: ACM; 2015. p. 83–6.

In The News

• First Robotics Competition: Valence Robotics (Jun 14, 2024 | Duke Engineering)
• 360 Coaches Dr Younes & Dr Simmons discuss Atomic Habits by James Clear with their 1st yr advisees over pizza and Valentine crafts (Feb 23, 2024 | )
• Duke Engineering-Mentored High School Robotics Team Earns Trip to State Championship (Mar 20, 2023 | Pratt School of Engineering)
• Smart collars can track your pup’s location, but what about your pup’s emotional health? (Aug 25, 2022 | )
• KEEN Teaching: Duke Engineering Faculty Engage with National Education Network (Dec 2, 2021 | Pratt School of Engineering)
• Rabih Younes: Interfacing With Industry (Oct 8, 2021 | Duke ECE Magazine 2021-2022)
• Designed for Women, by Women (May 7, 2020 | Pratt School of Engineering)
• Cybersecurity Tips While Working Remotely (Apr 8, 2020 | Duke Today)