معرفی
Marta Quemada Lopez serves as a Research Fellow in the Department of Informatics at the University of Oslo, operating within the Faculty of Mathematics and Natural Sciences. Her academic base is the Data and Knowledge Management research group, where she conducts doctoral research at the intersection of artificial intelligence and healthcare diagnostics. She maintains active institutional presence through her postal and visiting addresses at Gaustadalléen 23B in Oslo.
Her research program centers on Artificial Intelligence and Machine Learning applications for medical diagnostics, with specialized focus on Explainable AI systems for pediatric respiratory conditions. Key investigation areas include Responsible AI implementation, Sleep Apnea Diagnosis methodologies, and Respiratory Disorders analysis in children. Her work emphasizes ethical AI frameworks that balance algorithmic complexity with clinical interpretability, specifically targeting vulnerable pediatric populations where diagnostic transparency is critical.
Her 2024 publication establishes foundational requirements for responsible explainable AI in pediatric sleep apnea diagnosis, reflecting her commitment to interdisciplinary solutions that bridge computer science rigor with healthcare practicality. This research exemplifies emerging trends in clinically validated AI systems where model interpretability directly impacts patient outcomes in specialized medical domains.
Scientific Awards: No awards, fellowships, or medals are documented in the available materials.
Advising and Grants: As a doctoral candidate, she is actively engaged in the Respire project (Responsible Explainable Machine Learning for Sleep-related Respiratory Disorders), which constitutes her primary research framework. While specific grant details aren't disclosed, her conference publication indicates institutional support for this healthcare AI initiative. She currently holds no formal advising responsibilities given her candidate status.
