Tim Kalla is a PhD student at the Università degli Studi G. d'Annunzio Chieti-Pescara (Italy) under the supervision of Prof. Silvia Comani. He is recruited as ESR3 in the INFANS project and his PhD project is entitled “Novel method for artefact correction in neonatal EEG signals”. Tim was born in Germany and obtained a Bachelor and Master of Science in Biomedical Engineering at Technische Universität Ilmenau, specializing in Electromedical Engineering. His research interests are generally in the field of software development, especially in the processing and analysis of biological signals.
Mohammad Khazaei received the B.Sc. and M.Sc. degree in biomedical engineering from Sahand University of Technology (Tabriz, Iran) and Iran University of Science and Technology (Tehran, Iran) with specialization on adaptive and robust control approaches applied to cats’ hindlimb movement control. His research interests include biological signal processing, bio-instruments designing and biological system modeling. Currently, he is a Ph.D. student at University “G. D'Annunzio” of Chieti-Pescara, Italy. His role in the INFANS project (ESR5) is to define the best topological measures to characterize the brain networks properties in stable neonates/infants for differential diagnosis purposes and develop a toolbox for the analysis of short-term EEG data for estimation of brain efficiency.
Vignesh Nandagopal is from Chennai, India. He received his Master's in Biomedical Engineering from the Chalmers University of Technology in Gothenburg, Sweden. He pursued his Bachelor's in Electrical Engineering from Anna University in India. His research interests involve neuroscience, biomedical signal processing, brain imaging technologies, machine learning and integrating neuroscience with software advancements.
Amirreza Asayesh is a PhD candidate in Neuroscience at BABA Center of the University of Helsinki under the supervision of Prof. Sampsa Vanhatalo and Prof. Jens Haueisen. He received his B.Sc. and M.Sc. degrees in biomedical engineering-bioelectric, from Islamic Azad University of Tabriz (Iran) and The University of Tabriz (Iran), respectively. His research interests include neuroscience, brain imaging methods, EEG signal recording and processing, bio instrumentation design, and wearable technologies. He is recruited as ESR8 within the INFANS project for Clinical multicentre validation by focusing on the novel dry electrode, cap, and short-term EEG monitoring.
Saeed Montazeri Moghadam (M.Sc., Ph.D. candidate) is currently a doctoral student in Neuroscience at BABA Center (University of Helsinki) under supervision of Prof. Sampsa Vanhatalo. He received his B.Sc. and M.Sc. degrees in biomedical engineering, bioelectric, from Islamic Azad University of Mashhad (Iran) and Amirkabir University of Technology (Tehran Polytechnics, Iran), respectively. His research interests include neuroscience, signal and image analysis using machine learning tools mainly deep neural networks. He is recruited as ESR9 within the INFANS project, focusing on design of novel GUI components, design of measures for assessment of brain maturity and to develop iterative validation tests for short-term EEG monitoring.
Tim Hermans is a doctoral student in Electrical Engineering at KU Leuven (Belgium) as part of the biomedical data processing research group BioMed, under supervision of Prof. Sabine Van Huffel. He was born in Maastricht (The Netherlands) and received his B. Sc. degree in Biomedical Engineering (2016) and M. Sc. degree in Medical Engineering (2019) from the University of Technology in Eindhoven (The Netherlands). His main research interests include medical signal analysis and machine learning. The aim of his PhD project is to develop software for automated EEG scoring, cerebral autoregulation assessment and quantification of linked dynamics between EEG activity and cerebral oxygenation for use in computer-aided prediction of neurological outcome in neonates in intensive care units.
Ana Borovac is a doctoral student in Computer Science at University of Iceland. She was born in Kranj (Slovenia) and received her Bachelor's degree in Mathematics (2017) and Master's degree in Computer Science and Mathematics (2019) from the Faculty of mathematics and physics, University of Ljubljana, Slovenia. Her main research interests include biomedical signal processing, machine learning and data mining. As part of INFANS project she will design and develop a monitoring system that incorporates technologies and algorithms.
Naser Hakimi received his B.Sc. and M.Sc. degrees in Electrical and Biomedical Engineering from Shahid Beheshti University (Tehran, Iran) in 2015 and University of Tehran (Tehran, Iran) in 2018. His main research during his Master was the extraction of heart rate signal from functional near-infared spectroscopy (NIRS) and investigating its feasibility in stress assessment. Naser is employed as an early stage researcher (ESR13) at Artinis Medical Systems. He is currently working on NIRS signal quality measurement and physiological information estimation from NIRS signal.
Emad Arasteh is currently a PhD student at the Utrecht University working on signal processing of NIRS and aEEG data for pre-term infants. His main field of research is statistical analysis and signal processing in cognitive neuroscience. He holds both the B. Sc. And M. Sc. degrees in Electrical Engineering from Iran. For his Master thesis (in University of Tehran), he has worked on a bio-electromagnetic project including design and implementation of a hyperthermia system for cancer treatments. Through this experience, he got enthusiastic about biomedical studies. After M. Sc. graduation, he worked on some biomedical projects like diagnosis of Parkinson’s disease from EEG data and coupling between brain neural oscillations and vital signs of neurodegenerative disease patients.