Graduated at Faculty of Mathematic, Belgrade University; Masters in Computational Biology and Biomedicine at Université de Côte d'Azur, France ; PhD in INRIA Bordeaux and INSERM Lyon on Brain - Computer Interfaces and Adaptive probabilistic models; Research fellow at Reichmann University in Tel Aviv working on Physiological devices and Virtual Reality. Currently, she teaches Brain Computer Interfaces, Robotics and Physiological Computing at the Computer Science Faculty, Union University in Belgrade. Jelena received numerous awards for her research and was Lauréat for woman in science by Sephora Berrebi, Paris 2019. Jelena is the founder and creator of the first Neuro/Biotech Fabrication Lab in Serbia, named RAF Lab (at Racunarski Fakultet). Jelena is lead of the international community NeurotechX in the Belgrade chapter. She published countless papers in top neuroscience journals, book chapters, and international conférences; she gave many invited talks and courses, as well as online tutorials. She is happy to share her knowledge and enthusiasm for science.

Brain-computer interface (BCI) is a complex system which is often portrayed as a mysterious technology that only a few experts can understand. Nevertheless, nowadays it can be found in many applications, for instance in health for neurorehabilitation after stroke, psychotherapy for autism, in transportation for safe driving or piloting, in art, gaming and communication, etc.  This talk will explain the simple mechanisms behind a non-invasive BCI (without the need to operate on the brain). It comprises of 1. a device that reads neural data (e.g. EEG), 2. signal processing tool on a computer which reduces noise or unwanted signals, 3. machine learning where the machine typically calibrates on each user to have best performance, and 4. a feedback that the machine provides to the user, for example a robotic hand moving left or right. Thanks to many tools like openViBE which enable real time machine learning, and signal (data) processing, even a non-programer can use it.  I believe that it is important to inform the public about the underlying mechanisms of a BCI in order to reduce potential risk factors of using neurotechnology in health, transportation, communication, among others. I will also talk about Neuro Ethics in order to equip future developers and engineers to create safe devices and software in which the user has access and control over their own raw data. We, as programmers, inventors and engineers are accountable for the future of technology to be safe, open and easy to use for all consumers, Especially when dealing with such delicate personal data.