Daniel Andrés López

Dr. Daniel Andrés López is a Researcher at the Department of Computer Science, Johannes Gutenberg University of Mainz. His primary affiliation is with the Faculty of Physics, Mathematics and Computer Science. He holds a PhD from the same institution (2024), an MSc in Computer Science from Hochschule RheinMain (2016), and a BSc from Duale Hochschule Baden-Württemberg Mannheim (2013).

• PhD: 2024 - ThermoNet thermogram analysis
• MSc: 2016 - Visually corrected inertial tracking for autonomous aircraft

His research focuses on computational geometry, deep learning applications in biomedical contexts, and thermal imaging analysis during physical exercise. Key projects include ThermoNet (automated thermogram processing), StereoThermoLegs (multimodal stereo camera annotation), and exercise radiomics. His work integrates computer vision, machine learning, and biomedical engineering to analyze human physiological responses during exercise.

Recent studies explore associations between skin temperature variations and exercise load, using deep neural networks to process thermal imaging data from moving subjects. He has contributed to datasets like StereoThermoLegs and collaborated on grants such as the AiF-Shogama project (2016-2019), developing algorithms for embedded systems in precision reconstruction.

Notable conference presentations include work on pyramidal exercise protocols and skin thermal radiation variation. His interdisciplinary approach bridges computer science with exercise physiology and medical imaging.