Carlos Eduardo Thomaz

Pontifícia Universidade Católica do Rio de Janeiro, Brazilian Computer Society

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About

Carlos Eduardo Thomaz is a leading researcher in artificial intelligence, robotics, and medical image analysis, with a career spanning over two decades. His pioneering work in mobile robotics, particularly through his highly cited 1999 paper "Mobile robot path planning using genetic algorithms" (42 citations), established foundational methods for autonomous navigation using evolutionary computation. More recently, Thomaz has made significant contributions to computer-aided diagnosis, as evidenced by his 2019 work "Computer Aided Intervention and Diagnostics in Clinical and Medical Images" (36 citations), which bridges AI and healthcare. His research focuses on developing intelligent systems that enhance decision-making in both robotics and clinical settings, leveraging machine learning to interpret complex visual data. With over 100 publications and a strong interdisciplinary impact, Thomaz’s work has influenced fields from autonomous systems to biomedical engineering. He is also recognized for his role in advancing explainable AI in medical imaging, ensuring that diagnostic tools are both accurate and interpretable for clinicians.