Alberto Cano

Alberto Cano is the Associate Vice President for Research Computing and an Associate Professor in the Department of Computer Science at Virginia Tech. He leads the Advanced Research Computing unit, focusing on high-performance computing, machine learning, and data stream analysis. He holds a Ph.D. (2014) and multiple master's degrees from Spanish universities, including the University of Granada and University of Córdoba. His research spans machine learning applications in cybersecurity, healthcare, and smart cities, with a focus on imbalanced data streams and GPU-accelerated algorithms.

Key research areas include concept drift adaptation, distributed computing systems, and scalable machine learning. He has secured over $3 million in grants, including NSF funding for GPU infrastructure and educational initiatives. Cano has authored 100+ peer-reviewed publications and serves as an editor for journals like Information Fusion and Applied Intelligence. He teaches courses on high-performance computing and databases at Virginia Tech.

His work addresses challenges in real-time data processing, including fraud detection in 3D printing, health monitoring systems, and anomaly detection in smart transportation. Cano actively contributes to international conferences through tutorials on data stream mining and lifelong learning systems.