Marja Uscumlic
Dre Marija Uscumlic
Collaboratrice scientifique
Dr. Marija Uscumlic is a scientist with extensive clinical, academic, and industrial experience in neurotechnologies and closed-loop brain-computer interfaces (BCI).
In her current role, she conducts research on brain network plasticity and personalized neuromodulation strategies to promote recovery following brain injuries, combining experimental studies with advanced methods to track and analyze brain network activity. She also plays a key role in supervising and coordinating multicenter clinical trials investigating neurotechnology-based interventions to enhance motor recovery and visual rehabilitation after stroke.
Prior to joining the Neurorehabilitation & Neuromodulation research group, Dr. Uscumlic was a research scientist on Nissan‘s team that developed Brain-to-Vehicle (B2V) technology. She received her PhD in Electrical Engineering, specializing in brain-computer interfaces (BCI), from the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in 2013. From 2014 to 2015, she was a postdoctoral researcher in the Neurotechnology group at the Technische Universität Berlin (TUB) in Germany.
PUBLICATIONS
Aydarkhanov R., Ušćumlić M., Chavarriaga R., Gheorghe L., Millán, J. del R. Closed-loop EEG study on visual recognition during driving. Journal of Neural Engineering, 18 (2), 026010, 2021
Aydarkhanov R., Ušćumlić M., Gheorghe L., Chavarriaga R., Millán, J. del R. Spatial covariance improves BCI performance for late ERPs components with high temporal variability. Journal of Neural Engineering, 17:036030, 2020
Chavarriaga R., Ušćumlić M., Zhang H., Khaliliardali Z., Aydarkhanov R. et al. Decoding Neural Correlates of Cognitive States to Enhance Driving Experience. IEEE Transactions on Emerging Topics in Computational Intelligence. DOI : 10.1109/TETCI.2018.2848289, 2018
Blankertz B, Acqualagna L, Dähne S, Haufe S, Schultze-Kraft M, Sturm I, Ušćumlić M, Wenzel M, Curio G, Müller K, The Berlin Brain-Computer Interface: Progress Beyond Communication and Control. Front Neuroscience, 10:530, 2016
Ušćumlić, M. and Blankertz, B., Active visual search in non-stationary scenes: coping with temporal variability and uncertainty. Journal of Neural Engineering, 13 (1), 016015, 2015
Ušćumlić, M., Chavarriaga, R., Millán, J. del R. An Iterative Framework for EEG-based Image Search: Robust Retrieval with Weak Classifiers. Plos One, 8(8): e72018, 2013