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):135u201357.
• 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. 129u201343.
• 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. 30u201342.
• 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. 249u201354.
• 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):436u201345.
• 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. 219u201332.
• 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. 627u201355.
• 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):64u201371.
• 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. 83u20136.

In The News

• Engineering Design Experiences While Designing Engineering Curricula (Oct 15, 2024 | Pratt School of Engineering)
• 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 pupu2019s location, but what about your pupu2019s 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)