Andreas Spanias

Andreas Spanias is a Professor at Arizona State University specializing in Machine Learning, Signal Processing, and Quantum Computing with applications in renewable energy, healthcare, and wireless networks. His research includes Photovoltaic Fault Detection, Quantum Machine Learning, and Real-Time Energy Monitoring.

• Key research areas: Machine Learning, Quantum Computing, Renewable Energy Systems, Medical Imaging, Wireless Sensor Networks.
• Notable collaborations: Glen S. Uehara, Cihan Tepedelenlioglu, Sunil Rao, Jayaraman J. Thiagarajan.

Recent Publications (2025–2024) focus on quantum machine learning for photovoltaic fault classification, Bayesian optimization in circuit design, and real-time solar array monitoring. Trends include quantum algorithms for signal processing, energy-efficient ML, and educational innovations in quantum computing.

Educational Initiatives include REU programs in Quantum Machine Learning and integrating ML into signals and systems courses. He leads international collaborations like the ASU-DCU Sensors and ML Workforce Development Program.