Majd Sakr

Majd Sakr is a Teaching Professor at the Computer Science Department of Carnegie Mellon University (CMU), where he has been actively involved in curriculum development, educational research, and project-based teaching since 2007. His academic career spans teaching courses like 15-319/15-619: Cloud Computing, 15-719: Advanced Cloud Computing, and 15-213: Introduction to Computer Systems, with course materials available across multiple CMU global campuses. He is affiliated with the Technology for Effective and Efficient Learning (TEEL) Lab, which focuses on learning methods, technology for learning systems, and workforce training.

Research Interests include:

• Online and technology-enhanced learning
• Cloud computing systems and infrastructure
• Cross-cultural human-robot interaction (HRI) with a focus on Arabic accents
• Curriculum development for AI/workforce training

Recent Article Trends analyze generative AI in education, cloud computing performance optimization, and collaborative programming pedagogy. His work explores LLMs' efficacy in programming assessments, auto-grading feedback, and cross-cultural HRI dynamics.

Scientific Awards:

• Best Paper Award, Fourteenth International Conference on Machine Learning (1996)

Grants & Collaborations include AWS Educate, Microsoft Azure Educator Grant, and Google Cloud Platform support for his cloud computing courses. He has co-authored publications with colleagues on AI workforce training, data pipeline analysis, and AI-driven collaborative learning frameworks.