Advancing Computing Performance Beyond Moore’s Scaling
Hello! I’m Nhlanhla Mavuso, a dual-degree student at the University of Pennsylvania, pursuing Computer Engineering and Physics. With 2 years of experience in spatial computing, I focus on advancing computing performance beyond Moore’s scaling.
My current research includes self-healing chips and efficient computing at UPENN’s System Architecture Integration Laboratory. I’m passionate about bridging emerging technologies with sustainable solutions for scalable computing.
B.S.E. in Computer Engineering and B.A. in Physics (Expected May 2026)
Advanced Levels & Leadership Diploma (Graduated May 2022)
Developed dynamic repair systems to enhance IC performance by fixing degrading components in real-time.
View on GitHub (Private)Created a real-time data compressor with integrated deduplication, optimized for Ethernet speeds.
View on GitHubAn immersive, budget-friendly music box for the auditory-impaired using FPGA and microcontroller integration.
View on GitHubEmail: nhlanhla.mavuso@example.com
GitHub: GitHub Profile
LinkedIn: LinkedIn Profile