IEEE SMC-IT/SCC 2026 (series) / Reem Shehayib
Registered user since Fri 24 Jul 2026
Name:Reem Shehayib
Bio:
I am a second-year PhD student at the University of Notre Dame under the supervision of Prof. Peter Kogge. I am currently focusing on energy-efficient machine learning, where I apply my expertise in lightweight ML models to study energy and architectural efficiency in hostile environments, such as in low-power devices and astronautics.
Country:United States
Affiliation:University of Notre Dame
Personal website: https://www.linkedin.com/in/reem-shehayib/
GitHub: https://github.com/reemshehayib
Research interests:Energy-Efficient and Lightweight Machine Learning, Neural Network Architecture, Hardware-Software Co-Design, Sscientific Machine Learning (SciML)
Contributions
2026
Resilient AI
Student Innovations in SpaceTech Workshop
Using general profile