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Jens Haueisen

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INHALTE

Early Stage Researchers

Indhika Fauzhan Warsito

Milana Komosar

Miguel Fernando Silva Castro Neves Barbosa

Khadijeh Raeisi

Mohammad Khazaei

Ivan Lazarov

Khashayar Ghoorzehi

Saeed Montazeri Moghadam
Tim Hermans

Ana Borovac

Indhika Fauzhan Warsito is a PhD student at the Biomedical Engineering group of the Technische Universität Ilmenau under supervision of Prof. Jens Haueisen. He was born in Jakarta (Indonesia) and received his B. Sc. degree (2016) in Mechatronic Engineering from Türk Hava Kurumu Üniversitesi (Ankara, Turkey). He received a double Master degree M. Sc./ M. Phil. in Biomedical Engineering from Technische Universität Ilmenau (Ilmenau, Germany) and Universiti Teknologi Malaysia (Johor, Malaysia) in 2019. His research interests include neonatal bioelectric measurement, biosignal analysis and modelling/simulation for 3D CAD. His PhD project deals with the development of novel, dry, flexible electrodes for neonatal bioelectric measurements.

Milana Komosar is currently a doctoral student at the Biomedical Engineering group of the Technische Universität Ilmenau under supervision of Prof. Jens Haueisen. She was born in Prijedor, Bosnia and Herzegovina. She received B.Sc. (2018) and M.Sc. (2019) degrees in Electric and Computer Engineering of Faculty of Technical Sciences, University of Novi Sad (Novi Sad, Serbia). During her Master thesis project, she was a researcher at TU Ilmenau for 8 months at the Department of Lightning and overvoltage protection. Her currently field of interest are neuroscience, processing and analysis of biosignals. She is employed as ESR2 in INFANS project with the topic Novel Spatial Harmonic Decomposition for real-time dimension reduction of EEG signals.

Miguel Fernando Silva Castro Neves Barbosa (M.Sc., Ph.D. candidate) is currently a double degree doctoral student at INFANS Project ESR3, both at Università degli Studi G. d'Annunzio Chieti-Pescara and at Katholieke Universiteit Leuven. He received his Integrated Master degree in Industrial Electronics and Computers Engineer, from Universidade do Minho (Guimarães, Portugal), specialized on Embedded Hardware and Software and Micro/Nanotechnologies. His current research interests include digital signal analysis and processing, data mining and real-time software techniques. His PhD project deals with the development of a novel BSS-based fingerprint method for the real-time correction of artefacts in the infant EEG signals, managed by a software toolbox.

Khadijeh Raeisi is a PhD candidate at the Neuroscience and Imaging group of the Università degli Studi G. d'Annunzio Chieti-Pescara under the supervision of Prof. Filippo Zappasodi. She received her B.Sc. and M.Sc. degree in biomedical engineering from Isfahan University (Isfahan, Iran) and Khajeh Nasir Toosi University of Technology (Tehran, Iran) with specialization on signal processing and machine learning. She is employed as ESR4 as a part of INFANS project to estimate the brain maturity using Neonatal functional connectivity pattern on short-term EEG.

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.

Ivan Lazarov from Bulgaria obtained his Bachelor's (2015) and his Master’s degree (2018) in Mechanical Engineering from Vienna University of Technology (Vienna, Austria) with specialization on Biomechanics and Scientific Computing. His research interests include medical signal analysis and machine learning. Ivan is employed as an early stage researcher (ESR7) at the eemagine Medical Imaging Solutions GmbH,  situated in Berlin, Germany. As part of the INFANS project, his research focuses on the development of a Usability optimized control software for EEG in neonates.

Khashi (Khashayar Ghoorzehi) is an Iranian-Australian electrical engineer with a few years of industry experience. He has worked and studied in Australia, Iran, China and Malaysia. Khashi’s Honours degree was studied in Swinburne University in Melbourne. For his final year research project, he worked on some MEG data obtained from patients with OCD and deep brain stimulation implants. He is very interested in understanding the mechanics of neural oscillations of the central nervous system. Signal processing of neural data is one his main research interests. He is recruited as ESR8 within the INFANS project, focusing on 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.