Проф. др Франциско Куенца Фернандез
Универзитет у Гранади, Гранада, Шпанија
Пабло де Олавиде, Универзитет у Севиљи, Шпанија
Загревање у пливању и пост-активацијска потенцијација (PAPE): полазне основе и препоруке за младе и одрасле
Biography
Francisco Cuenca-Fernández is professor of Swimming Fundamentals and Specific Applications of Swimming at the Pablo de Olavide University in Seville. He holds a PhD in Biomedicine from the University of Granada and is a member of the Aquatics Lab research team, developing the "PAPE Effects in Swimming" research line. He is a Swimming Coach (RFEN), with collaborations as a biomechanical analyst for the Andalusian Swimming Federation and the Experientia+ program. He was awarded the Transformative Research Award for Best Research Paper (TRA) by the LEN (European Aquatics) during the 2023 Biomechanics and Medicine in Swimming conference (Leipzig, Germany), in recognition of the transfer and development of scientific evidence based on real-life practices.
Проф. др Тијана Героски
Факултет инжењерских наука, Универзитет у Крагујевцу, Србија
Примена алгоритама вештачке интелигенције у анализи биомедицинских података
Biography
Tijana Geroski is an Assistant Professor at the Faculty of Engineering, University of Kragujevac. She completed BSc studies (2015), MSc studies (2017), and Ph.D. (2023) at the same Faculty with GPA 10.00/10.00 and as the best student in generation. Her doctoral dissertation focused on the application of artificial intelligence (AI) in biomedical signal processing for the diagnosis of spinal diseases. She was a Fulbright Visiting Scholar for her postdoctoral studies at the University of Louisville, KY, USA (2024–2025). She participated in numerous Horizon, COST, bilateral and national projects in the fields of biomedical engineering and application of AI in healthcare. She is an author and co-author of 6 book chapters, 41 scientific papers in international journals, 69 papers and abstracts in international conferences and a reviewer for top-ranked publications (IEEE, Elsevier, Springer). She has received national and international recognitions, including the national L'OREAL-UNESCO "For Women in Science" fellowship (2021). She was a finalist for the Female Engineer of the Year (2024) and a member of the working group for writing the national AI strategy. Her area of expertise includes artificial intelligence, biomedical signal processing, machine and deep learning algorithms. She actively contributes to coupling of AI algorithms and 3D reconstructed models as inputs to numerical models analysed by the software package PAK.
