Alessandro Bevilacqua

Alessandro Bevilacqua is an Assistant Professor at the Department of Computer Science and Engineering, University of Bologna. His research focuses on computer vision, medical imaging, and artificial intelligence in healthcare. He leads the Computer Vision Group, which develops advanced algorithms for tumor characterization, radiomics, and automated analysis of pathological images. His work integrates machine learning, quantitative imaging, and clinical applications to improve diagnostic accuracy in oncology.

Bevilacqua’s research spans areas such as diffusion-weighted MRI analysis, multiplex immunohistochemistry quantification, and radiomic feature extraction. He collaborates with clinical teams to translate computational methods into practical diagnostic tools. His recent projects include developing AI models for prostate cancer detection, colorectal lesion classification, and predicting treatment responses using imaging biomarkers.

Key technical contributions include novel metrics for tumor-peritumour interface analysis, automated workflows for whole-slide imaging, and reproducibility frameworks for radiomic studies. His methodologies address challenges in heterogeneity assessment, clinical significance prediction, and imaging protocol optimization.

Academic activities include teaching computer science and engineering courses, mentoring students in AI-driven healthcare projects, and advising on collaborative research initiatives. He maintains an active presence in interdisciplinary research, bridging computational methods with clinical oncology, radiology, and molecular biology.