Rabih Younes | Scholars@Duke

Rabih Younes
Assistant Professor of the Practice in the Department of Electrical and Computer Engineering

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, activity recognition, context awareness, machine learning, 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 Research Interests

Wearable computing, activity recognition, context awareness, machine learning, artificial intelligence, engineering education, and Middle Eastern politics

Current Appointments & Affiliations

Assistant Professor of the Practice in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2018
Faculty Network Member of the Duke Institute for Brain Sciences, Duke Institute for Brain Sciences, University Institutes and Centers 2019

Contact Information

210 Hudson Hall, Durham, NC 27708
rabih.younes@duke.edu (919) 660-5051
LinkedIn profile
Personal website

Background
Education, Training, & Certifications
- Ph.D., Virginia Polytech Institute and State University 2018
- M.S., Lebanese American University (Lebanon) 2013
Recognition
In the News
- MAR 20, 2023 Pratt School of Engineering
  
  Duke Engineering-Mentored High School Robotics Team Earns Trip to State Championship
- AUG 25, 2022
  
  Smart collars can track your pup’s location, but what about your pup’s emotional health?
- DEC 2, 2021 Pratt School of Engineering
  
  KEEN Teaching: Duke Engineering Faculty Engage with National Education Network
- OCT 8, 2021 Duke ECE Magazine 2021-2022
  
  Rabih Younes: Interfacing With Industry
- MAY 7, 2020 Pratt School of Engineering
  
  Designed for Women, by Women
- APR 8, 2020 Duke Today
  
  Cybersecurity Tips While Working Remotely
- SEP 17, 2018 Pratt School of Engineering
  
  Rabih Younes: Integrating Machine Learning with Motion-Capturing Wearable Devices
Expertise
Subject Headings
- Muser Mentor
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Younes, R., and D. Bairaktarova. “ViTA: A flexible CAD-tool-independent automatic grading platform for two-dimensional CAD drawings.” International Journal of Mechanical Engineering Education 50, no. 1 (January 1, 2022): 135–57. https://doi.org/10.1177/0306419020947688.
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  - Li, Xiang, Rabih Younes, Diana Bairaktarova, and Qi Guo. “Predicting Spatial Visualization Problems' Difficulty Level from Eye-Tracking Data.” Sensors (Basel, Switzerland) 20, no. 7 (March 2020): E1949. https://doi.org/10.3390/s20071949.
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  - Davis, C., R. Younes, and D. Bairaktarova. “Lab in a box: Redesigning an electrical circuits course by utilizing pedagogies of engagement.” International Journal of Engineering Education 35, no. 2 (January 1, 2019): 436–45.
  - Younes, Rabih, Mark Jones, and Thomas L. Martin. “Classifier for Activities with Variations.” Sensors (Basel, Switzerland) 18, no. 10 (October 2018): E3529. https://doi.org/10.3390/s18103529.
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  - Blake, M., R. Younes, J. Dennis, T. L. Martin, and M. Jones. “A User-Independent and Sensor-Tolerant Wearable Activity Classifier.” Computer 48, no. 10 (October 1, 2015): 64–71. https://doi.org/10.1109/MC.2015.296.
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- Book Sections
  - Younes, R., Cassandra Groen, Christopher Gewirtz, Adetoun Taiwo, and Lindy Cranwell. “Creative Ways of Knowing and the Future of Engineering Education.” In Creative Ways of Knowing in Engineering, edited by Diana Bairaktarova and Michele Eodice, 219–32. Cham: Springer, 2016. https://doi.org/10.1007/978-3-319-49352-7_9.
    Full Text Link to Item
  - Younes, R., Kristen Hines, Jason Forsyth, Jacob Dennis, Thomas Martin, and Mark Jones. “The design of smart garments for motion capture and activity classification.” In Smart Textiles and Their Applications, edited by Vladan Koncar, 627–55. Woodhead Publishing, 2016. https://doi.org/10.1016/B978-0-08-100574-3.00027-8.
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- Conference Papers
  - Zhao, C., X. Li, and R. Younes. “Self-supervised Multi-Modal Video Forgery Attack Detection.” In Ieee Wireless Communications and Networking Conference, Wcnc, Vol. 2023-March, 2023. https://doi.org/10.1109/WCNC55385.2023.10118664.
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  - Yan, Z., R. Younes, and J. Forsyth. “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, 434 LNICST:129–43, 2022. https://doi.org/10.1007/978-3-030-99203-3_9.
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  - Luo, J., X. Li, and R. Younes. “Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition.” In Communications in Computer and Information Science, 1370:30–42, 2021. https://doi.org/10.1007/978-981-16-0575-8_3.
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  - Li, X., J. Luo, and R. Younes. “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, 249–54, 2020. https://doi.org/10.1145/3410530.3414367.
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  - Younes, R., and C. Sadler. “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, Vol. 2020-June, 2020.
  - Younes, R., Mark Jones, and Thomas Martin. “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. https://doi.org/10.1109/PERCOMW.2018.8480368.
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  - Younes, R., Thomas Martin, and Mark Jones. “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, 83–86. New York, NY, USA: ACM, 2015. https://doi.org/10.1145/2802083.2808405.
    Full Text Link to Item
Teaching & Mentoring
Recent Courses

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Education, Training, & Certifications

In the News

Subject Headings

Selected Publications

Academic Articles

Book Sections

Conference Papers

Recent Courses