Welcome to the website of the Analysis and Interpretation Biomedical Data Group at the Department of Cybernetics at the Faculty of Electrical Engineering at the Czech Technical University in Prague.
Our Vision
Our aim is to perform high quality research in biomedicine field and transform the academic outcomes into clinical and daily living practice.
Projects
Computational Neuroscience
Digital Medicine
Assistive Technology
Teaching
Our Team
Doc. Ing. Daniel Novák, PhD
group leader
xnovakd1 (at) fel.cvut.cz
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He is a senior researcher at the Department of Cybernetics, CTU, Faculty of Electrical Engineering. Currently he reads lectures on Artificial Intelligence, Biometrics and Neuroinformatics. He publishes contributions in the field of neuroscience, ICT healthcare and ambient assisted living systems. See more at my LinkedIn profile or personal page.
Mgr. Tomáš Sieger, PhD
senior researcher
siegetom (at) fel.cvut.cz
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Ing. Eduard Bakštein, Ph.D.
senior researcher
eduard.bakstein (at) fel.cvut.cz
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He is currently working on the problem of nuclei identification and atlas fitting to the microelectrode EEG and artifact/change-point detection in microelectrode EEG and other time-series data. He is the author of the sigInspect (GitHub) toolbox for automatic artifact detection. His other research interests include other machine learning, signal processing and data analysis problems.
He teaches courses on Computational neuroscience and Biometric identification, previously also Artificial Intelligence and Data Analysis.
See more on personal webpage
Ing. Jiří Anýž, Ph.D.
postdoc researcher
anyzjiri (at) fel.cvut.cz
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Jiří Anýž is a researcher at the Department of Cybernetics at the FEE CTU and at the Early Episodes of SMI Research Center of the National Institute of Mental Health. He studied biomedical engineering at the FBMI and FEE CTU and received his PhD in the programme Biomedical engineering and artificial intelligence under the guidance of prof. Olga Štěpánková, CSc. His research interest are data analysis of biochemical data, hierarchical statistical models and statistical inference based on simulations. Teaching assistant of Medical Imaging .
Ing. Jakub Schneider, Ph.D.
postdoc researcher
schnejak (at) fel.cvut.cz
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Jakub Schneider is a dedicated researcher affiliated with the AID group at the Department of Cybernetics, Faculty of Electrical Engineering (FEE), Czech Technical University (CTU), and the National Institute of Mental Health. He pursued his studies in Biomedicine at the Faculty of Biomedical Engineering (FBMI) and Biomedical Engineering at FEE, CTU. In 2021, he successfully completed his Ph.D. in Biocybernetics and Artificial Intelligence.Jakub’s primary research focuses on analysing and detecting symptomatic periods in affective disorders, utilizing actigraphy and ecological momentary assessments as his main data sources. His significant contributions to the field are evidenced by his publications in esteemed journals and presentations at international conferences.In addition, Jakub is actively engaged in academia, teaching courses such as Biometric Identification and previously, Artificial Intelligence. He takes pride in mentoring students, guiding them through their academic and research journeys.He is passionate about enhancing mental health and expanding the field of neurosciences through innovative and rigorous research.
Msc. Tomas Lima
master student
tomas.a.lima (at) gmail.com
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Tomás Lima is a MSc. student from University of Minho in Portugal. Showing high interest on brain, health and performance research, he is eager to apply Artificial Intelligence into biomedical data, in order to contribute for an healthier world. During his Bachelor studies, he has worked on BCI tools for elderly people fall-detection and prevention. He is now concluding his Biomedical Engineering programme working on the automatic segmentation of the STN in high-field MRI for the DBS planning of Parkinson’s disease patients.
Ing. Jindřich Prokop
PhD student
prokojin(at) fel.cvut.cz
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MSc. Cheng Kang
PhD student
kangchen (at) fel.cvut.cz
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Github: https://github.com/ChengKang520
MSc. Ihor Varha
PhD student
varhaiho (at) fel.cvut.cz
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Ing. Carmen-Anna Konicarová
PhD student
koniccar (at) fel.cvut.cz
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Carmen-Anna Konicarová is a PhD student at the AID Group. She graduated from Medical Electronics and Bioinformatics at the FEE, CTU. Her master’s thesis focused on multidimensional methods of identification of clinical episodes from actigraphy in bipolar affective disorder. Currently, she is working on the problem of multivariate data aggregation in neuroscience.
Ing. Apostolos Mikroulis, PhD
postdoc researcher
mikroapo (at) fel.cvut.cz
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Apostolos Mikroulis holds a Ph.D. in the field of neuroscience, from the Department of Biological Applications and Technology at the University of Ioannina (Greece), since 2017. He has since worked at Lund University as a postdoctoral electrophysiologist for the Experimental Epilepsy Group, and as a research engineer for in vitro electrophysiology, imaging and data analysis.
MUDr. Pavel Filip, Ph.D.
senior neurologist
pavelfi2 (at) fel.cvut.cz
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Pavel Filip is a senior neurologist specialized in movement disorders at the General University Hospital in Prague, and a Postdoctoral Researcher at the Center for Magnetic Resonance Research in the USA. His expertise includes using advanced therapies such as deep brain stimulation (DBS), botulinum toxin treatments, and intrathecal baclofen pumps. Additionally, he has developed new MRI methods to assess microstructural damage and has worked on orientation selective deep brain and spinal cord stimulation paradigms. Pavel also engages in freelance translation focused on medical documents and has an extensive background in clinical research.
MSc. Bikash Prahdan PhD
postdoc researcher
pradhbik (at) fel.cvut.cz
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Bikash Kumar Pradhan is a Postdoctoral researcher in the Department of Cybernetics at the Faculty of Electrical Engineering, Czech Technical University (FEE CTU) in Prague. In the year 2023, he earned his Ph.D. in Biotechnology and Medical Engineering from the National Institute of Technology Rourkela, India. His research interests focus on the acquisition and analysis of biopotential signals, statistical analysis, and machine learning. At FEE CTU, Bikash joined the research group Analysis and Interpretation of Biomedical Data where he will leverage his knowledge to reveal hidden information in medical data, aiming to address critical research questions and contribute to advancements in the field of Biomedical research.
Maxime Branger
intern
maxime.branger (at) grenoble-inp.org
Acknowledgements
Publications
Contact Us
doc. Ing. Daniel Novák, Ph.D.
group leader
+420 224 357 314
xnovakd1@fel.cvut.cz