Begoña Acha Piñero

Begoña Acha Piñero is a University Professor in the Department of Signal Theory and Communications at the University of Seville. She leads the Signal Processing and Communications research group and has coordinated major research projects including Explained classification of skin lesions using artificial intelligence (PID2021-127871OB-I00), Software Tool for Analysis of Malignancy in Pigmented Lesions (DPI2016-81103-R), and Real-Time Multimodal Medical Imaging (TEC2010-21619-C04-02). Her work spans biomedical applications of signal processing and computer vision.

• University of Seville, Department of Signal Theory and Communications
• Research Group: Signal Processing and Communications

Her research focuses on medical imaging, computer vision, and artificial intelligence for clinical applications. Key areas include dermoscopic image analysis, burn wound classification, glaucoma diagnosis, and surgical planning tools. She has developed algorithms for 3D tumor segmentation, optic disc detection, and colorimetric calibration in uncontrolled lighting conditions.

Her publications and projects reveal a strong trend toward AI-driven diagnostic systems and image analysis for dermatology. She has contributed to thermography applications in vascular malformations and convex relaxation techniques for CT volume segmentation.

• Directed 5 PhD theses
• Co-developed patents for 3D surgical planning tools and intelligent fiducial markers
• Collaborated on projects with institutions like Virgen del Rocío Hospital