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2 - 4 March, 2026 - Marbella, Spain

Within the 19th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2026

CO-CHAIRS

	Bart Jansen Vrije Universiteit Brussel Belgium
Brief Bio Bart Jansen is a professor (Google Scholar citations: ~6700; H-index: 31) at the department of Electronics and Informatics (ETRO) at the Vrije Universiteit Brussel (VUB). He is interested in developing image and signal processing techniques as well as artificial intelligence (AI) methods for a variety of applications in the broad biomedical engineering domain, with a focus on rehabilitation engineering. He builds software and algorithms to understand and improve the rehabilitation process, including computer games, algorithms for dynamic difficulty adjustment, biomechanic analysis from low cost sensors, a variety of AI methods on medical data, augmented reality in medical applications and many more. Bart Jansen graduated in 2001 with a Master of Science in Computer Science, followed by a master after master in AI in 2003 and obtained a PhD degree in computer science (VUB Ai-lab, promotor Luc Steels) in 2005, all from the VUB. Since 2006, he has been working in the ETRO department. In 2016 he was appointed as a professor, and since 2020 he also has a 10% position with IMEC. Bart Jansen was the promoter of 13 graduated PhD students and is currently (co-)supervising 7 PhD candidates. He teaches computer science and AI related courses in the Bachelor of Engineering Sciences program, as well as in the Master’s of Applied Computer Science and Engineering, Biomedical Engineering and to the Postgraduate program on Rehabilitation and Human Sustainable Technology.

	Redona Brahimetaj Vrije Universiteit Brussel Belgium
Brief Bio Redona Brahimetaj received her Master’s degree in Applied Computer Science and Engineering from Vrije Universiteit Brussel (VUB) in 2018, specializing in Smart Cities. She completed her PhD in 2023 with the thesis titled "Classification of Breast Cancer: In Vitro Microcalcification Analysis in 3D Micro-CT Images." Her research focused on the diagnostic potential of individual breast microcalcifications using high resolution imaging and machine learning techniques. Currently a postdoctoral researcher at VUB, she continues to work on breast cancer, with a particular interest in high-resolution analysis of individual microcalcifications. In parallel, she is also involved in gait analysis research, using low-cost sensors such as IMUs to study gait event detection and identify pathological patterns across different populations based on sensor signal profiles.

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