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Rabih Younes

Rabih Younes, Ph.D.

Assistant Professor of the Practice
Department of Electrical & Computer Engineering
Duke University

Higher Education:
PhD, Virginia Tech, 2018
MSE, Lebanese American University, 2013
BE, Lebanese American University, 2011

Higher education: Engineering Education and Future Professoriate
Cisco Networking Academy: CCNP, CCNA, and ITE Instructor Trainer
National Instruments CLAD
USPA A-Licensed Skydiver

Download my CV

Research Interests

Wearable computing, ubiquitous/pervasive computing, activity recognition, context awareness, machine learning, engineering education, and Middle Eastern politics


Visit my Google Scholar profile or download my CV for a full list of my publications.

Courses Taught

Research Experiences for Undergraduates (REU)

  1. Minkush Jain — Comprehensive Smart Wearable for Stress Reduction (Summer 2020)
  2. Yezhou (Lucy) Chen — Smart Garment for Automatic Stress and Anxiety Detection and Reduction (Summer 2019)

Research Interns

  1. Jinqi Luo — Augmenting Human Activity Recognition Datasets Using Synthetic Data (Summer 2020)
  2. Kamna Meena — Wearable Activity Recognition and Feedback for Physical Therapy (Summer 2020)
  3. Zixuan Yan — Wearable Activity Recognition and Feedback for Physical Therapy (Summer 2020)
  4. Xianming Luo — Guiding the Visually Impaired Using Their Smartphone's Camera (Summer 2020)
  5. Yifan (Eunbi) Zhang, Kefan Lin, Junyi (Yolande) Xiao, and Yue Shao — Developing a Verilog Tester and Autograder (Summer 2020)
  6. Shuhan Wu — Analyzing Engineering Education Learning Data (Summer 2020)
  7. Xiang Li — Improving Spatial Visualization Learning Through Learning from Pupil Position Data (Summer 2019 – Fall 2021)
  8. Qi Guo — Fast Depression Diagnosis Using a Wearable System (Summer 2019)

Independent Studies

  1. Charlotte McCulloh — Human Activity Visualizer (Fall 2020)
  2. Karen Deng — Human Activity Visualizer (Fall 2020)
  3. Cullen Peters — CAD Drawings AutoGrader (Fall 2020)
  4. Cecilé Sadler — My Friendly Tag Assistant: Helping Faculty Measure Learning (Spring 2020)
  5. Jerry Lin — Machine Learning for Wearable Stress Detection (Spring 2020)
  6. Jon Stanley — A Wearable for Automatic Stress Detection (Spring 2020)
  7. Ritwik Heda — Activity Recognition for Physical Therapy (Spring 2019)
  8. Ryan Bergamini — English Learning System for Refugees (Spring 2019)
  9. Michael Scruggs — English Learning App for Refugees (Spring 2019)

Pratt Fellow

  1. Nicholas Panjwani — Activity Recognition for Yoga (Spring 2019)

First-Year Design (EGR 101L) Teams

  1. Smart Blinds (Fall 2020)
  2. Shipping Container Power (Fall 2020)
  3. E-Bike Solar Charging (Fall 2019)
  4. Bonehenge Whale Display (Fall 2019)
  5. Polar Bear Feeder (Fall 2018)
  6. Painting Storage Defragmentation (Fall 2018)

FIRST Robotics Competition Team

  1. Area 27 (Fall 2019 – Spring 2020)

Informal Mentoring

  1. Cady Zhou — CAD Drawings AutoGrader (Fall 2020)
  2. George Rateb — Machine Learning in Depth (Fall 2019 – Fall 2020)
  3. Asher Early — Machine Learning and Wearable Computing (Fall 2019)

Student Group Advising

  1. Duke Arab Student Association (Spring 2019 – present)

Current Appointments and Affiliations

Duke Webpage


Contact Information