Hojjat Adeli

Hojjat Adeli works at the intersection of civil engineering and computational intelligence, applying machine learning and deep learning methods to problems such as structural health monitoring, vibration control of buildings and wind turbines, and vision-based structural measurement. His work also extends into biomedical applications, including EEG-based brain-computer interfaces, medical image analysis, and disease detection using deep learning. Overall, the research theme centers on using neural networks and AI-based data fusion techniques across engineering and health-related domains.

Publication output has declined over the past decade, dropping from a peak of about 40 papers in 2017 to roughly 5-8 per year in recent years, averaging about 8 publications annually over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026