Oscar Deniz

Oscar Deniz is a Full Professor at the University of Castilla-La Mancha (UCLM) and a prominent researcher in computer vision and machine learning. He leads research within VISILAB, focusing on applications in medical imaging, security systems, and adversarial example detection. He has held visiting researcher positions at Carnegie Mellon University, Imperial College London, and Leica Biosystems. Deniz is affiliated with IEEE (Senior Member), AAAI, SIANI, CEA-IFAC, AEPIA, AERFAI-IAPR, and the Computer Vision Foundation.

His academic contributions include over 50 publications, two books on OpenCV, and leadership in European projects like 'Eyes of Things' (awarded multiple prizes including Google’s 2016 IoT Award and the 2019 European Commission Innovation Award). He coordinates projects such as BONSEYES and AIDPATH, advancing digital pathology and edge computing. His work integrates AI into microscopy, weapon detection, and medical diagnostics.

Research interests span deep learning, medical image processing, and security technologies. Notable achievements include developing the BUS-UCLM dataset for breast ultrasound lesions and MicroHikari3D, an affordable automated microscopy platform. Awards include the Marie Curie Fellowship and runner-up recognition for his PhD work in computer vision.

Deniz teaches courses like Computer Vision and Computer Science fundamentals, and his lab’s innovations are adopted by companies like Existor and incorporated into OpenCV. He actively reviews for EU programs (Eurostars, H2020 TULIPP) and contributes to academic journals like PLoS ONE.