Find Academic Supervisors

• Integrated Circuits
• Quantum Computing
• mm-Wave Transmission
• +3 more

Harald Pretl is a Professor at the Department of Integrated Circuits within the Institute for Integrated Circuits and Quantum Computing at Johannes Kepler University Linz (JKU). Holding the title Univ.-Prof., he maintains active research leadership with current projects extending through 2029 and 107 documented research outputs including patents, articles, and conference proceedings. His research spans integrated circuits, quantum computing, mm-wave transmission, biomedical sensing, and open-source EDA tools. He specializes in high-frequency circuit design, ultra-low-power biomedical sensors, and educational applications of open-source design methodologies for analog/mixed-signal IC development. Recent work demonstrates cross-disciplinary innovation bridging engineering, neuroscience, and artistic expression. Recent publications reveal strong emphasis on practical implementation challenges: THz transmitter efficiency, brain-computer interface applications, ADC performance metrics, and open-source layout automation. These works collectively advance wireless communication systems, biomedical instrumentation, and accessible semiconductor design education through open-toolchain development. Prof. Pretl has supervised 3 students and actively promotes open-source EDA adoption through educational initiatives. His funded projects include Sub-blocks generators for NSSAR ADC (2025-2029), Open Parasitic Extraction for KLayout, and United Micro Technology collaborations, demonstrating sustained industry engagement. He co-leads the JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab) and contributes to the High-Performance Integrated Quantum Computing project. Current activities include 42 documented presentations such as 'Using Open-Source EDA Tools in Hands-On IC Design Education' (2025) and 'Recent Developments in Ultra-Low-Power Biomedical Sensing' (2025), reflecting his dual focus on research innovation and pedagogical advancement.

Babiloni FabioView profile

Professor

• Neuroscience
• Biomedical Engineering
• Electroencephalography (EEG)
• +5 more

Fabio Babiloni is a Full Professor of Physiology at Sapienza University of Rome, Italy, and held a concurrent Full Professorship at Hangzhou Dianzi University (2015–2018). His research focuses on neuroscience, biomedical engineering, EEG signal processing, brain-computer interfaces, and mental state estimation through neurophysiological signals. He has held significant editorial roles at IEEE journals and international societies. Notable awards include the 2021–2024 recognition as one of the top 2% cited neuroscientists globally and Italy’s research innovation award (2019). His work emphasizes practical applications like assessing mental workload in aviation controllers, drivers, and virtual reality environments. Research interests span EEG technology advancements, stress and workload biomarkers, and interdisciplinary neuroscientific methodologies. Over 4000 citations highlight his contributions to neurophysiological signal analysis in high-stakes operational contexts. Editorial leadership includes associate editorships at top journals and advisory roles in IEEE EMBS. His lab (Lab NSI) integrates cutting-edge tools for real-world neurophysiological monitoring.

Fabio BabiloniView profile

Professor

• Neuroscience
• Biomedical Engineering
• Electroencephalography (EEG) Signal Processing
• +3 more

Prof. Fabio Babiloni is a Full Professor of Physiology at Sapienza University of Rome with over 30 years of expertise in neurophysiological signal processing. He founded the Laboratory of Industrial Neuroscience (20 researchers) and co-founded the startup BrainSigns as Chief Scientific Officer, applying neuroscience to business communication analysis for multinational corporations. His academic career spans roles at Sapienza University (1989-present) and Hangzhou Dianzi University (2015-2018). Research Focus: Neuroscience, Biomedical Engineering, EEG Signal Processing Leadership: Vice Chair for EU in HorizonEurope/Horizon2020 programs Publications: >330 peer-reviewed works (PubMed), 4 books His work pioneered brain-computer interfaces and hyperscanning techniques using EEG. He has received multiple honors including the Italian Parliament's Research Innovation Award (2019) and recognition for top-cited neuroscience research (2021-2024). Currently, he also serves editorial roles in leading IEEE journals.

• Computational Neuroscience
• Neural Engineering
• Astrocyte Function
• +3 more

Kerstin Lenk is an Assistant Professor at the Institute of Neural Engineering at Graz University of Technology (TU Graz). Her work bridges computational neuroscience and neural engineering, focusing on the role of astrocytes in neuronal network dynamics and neurodegenerative diseases. Research Focus: Computational modeling of astrocyte function, calcium signaling, and neuron-astrocyte interactions in health and disease (e.g., Alzheimer's, schizophrenia). Techniques: Finite element simulations, machine learning for parameter inference, and neurochip recordings for in vitro network analysis. Key Themes: Synaptic transmission, gliotransmission, aging effects on glutamate transport, and optoelectronic stimulation of brain tissues. Her publications highlight collaborations on multiscale biophysics and emerging applications in digital twins for in-silico pharmacology. Email: kerstin.lenk@tugraz.at

• Neural Engineering
• Biomedical Engineering
• Cognitive Neuroscience
• +3 more

Selina Christin Wriessnegger is an Associate Professor at the Institute of Neural Engineering, Graz University of Technology (TU Graz). Her work focuses on neural engineering, cognitive neuroscience, and neurotechnology, with particular emphasis on Brain-Computer Interfaces (BCI). She holds a teaching authorization in Cognitive Neuroscience and maintains a research homepage at bci.tugraz.at/wriessnegger . Contact details include email s.wriessnegger@tugraz.at and telephone +43 316 873-30713. Research interests revolve around advancing neural engineering applications, including neuroprosthetics and BCI systems. Her expertise integrates biomedical engineering principles with cognitive science to develop innovative solutions for neural interfacing. Consultation hours are held Thursdays 10:00-11:00, requiring pre-registration via phone +43 316 873-30701 or email i.humenberger@tugraz.at (Irmgard Humenberger, secretary). No scientific awards, grants, or listed students are explicitly mentioned in the provided text. The Institute of Neural Engineering serves as her primary research and teaching environment.

Perc MatjažView profile

Professor

• Phase transitions
• Complex networks
• Stochastic processes
• +7 more

Matjaž Perc is a Full Professor of Physics at the University of Maribor and holds leadership roles including Vice Dean of Natural Sciences at the European Academy of Sciences and Arts. His research focuses on complex systems, nonlinear dynamics, and socio-physical phenomena. He has been recognized with prestigious awards such as the Young Scientist Award for Socio- and Econophysics (2015) and the Zois Award (2018), Slovenia's highest national research honor. Perc is also a Fellow of the American Physical Society and among the world's top 1% most cited physicists. Research Interests : Phase transitions in social systems, evolutionary game theory, complex networks, stochastic processes, and self-organization mechanisms. Awards : Extensive list includes recognition for refereeing excellence, societal memberships (APS, EPS), and national accolades. Publications : Over 300 articles in top journals like Physical Review E , Chaos , and Scientific Reports , focusing on interdisciplinary applications of physics to social, biomedical, and environmental challenges. His work bridges physics, computer science, and social sciences, addressing global issues through mathematical modeling and network analysis.

James McQueenView profile

Professor

• Spoken-word recognition
• Learning words in spoken language
• Second language acquisition
• +3 more

James McQueen is a Professor at the School of Psychology and Artificial Intelligence, Radboud University, Nijmegen, The Netherlands. He has held academic positions since 1990, including Professor of Speech and Learning (2015–present) and Professor of Learning and Plasticity (2009–2015), and has been a member of the Max Planck Institute for Psycholinguistics since 1993. Education : BA in Experimental Psychology (1987, University of Oxford), Ph.D. in Psycholinguistics (1992, University of Cambridge). McQueen specializes in spoken-word recognition , speech perception , and second language acquisition . His research explores perceptual learning in speech, memory consolidation for word learning, and brain-computer interfaces for auditory category learning. Current projects include individual differences in second-language acquisition and the lexical interface in spoken language processing. Scientific Awards : Fellow of the Association for Psychological Science (2016) Fellow of the Psychonomic Society (2014) The Cognitive Psychology Award, British Psychological Society (1997) MRC Studentship (1987) Exhibition, Corpus Christi College, Oxford (1985) He has supervised over 30 graduate students and postdoctoral fellows, including Attila Andics, Frank Eisner, and Atsuko Takashima. His leadership roles include chairing PhD defenses (2017–), coordinating institute projects at the Max Planck Institute, and serving on advisory boards for cognitive neuroscience and psycholinguistics programs.

• Artificial Intelligence
• Brain-Computer Interfaces
• Neural Networks
• +2 more

Manuel Eder is a researcher affiliated with the Faculty of Computer Science's Research Group Neuroinformatics. He holds a Diplom-Ingenieur (Dipl.-Ing.) engineering degree and a Bachelor of Science (BSc), indicating strong technical foundations in computational neuroscience and engineering disciplines. His research centers on the critical intersection of artificial intelligence and neural systems, with primary expertise in Brain-Computer Interfaces (BCIs), neural network architectures, and neuroprosthetic applications. He investigates how AI can decode neural signals to create assistive technologies, particularly focusing on cognitive psychology aspects of human-machine interaction and addressing communication impairments through innovative BCI solutions. Analysis of his 2024 publications reveals a cohesive research trajectory advancing practical BCI implementations. His work demonstrates methodological rigor in benchmarking algorithmic approaches while maintaining strong clinical relevance, particularly in developing EMG-integrated systems for patient populations and conversational interfaces that bridge neural activity with natural language processing. This dual focus on theoretical algorithm development and real-world medical applications represents a significant contribution to the neurotechnology field. Eder operates within the Neuroinformatics research group, which specializes in computational modeling of neural systems and developing AI-driven tools for neuroscience research. While specific laboratory infrastructure details aren't provided, his publication patterns indicate active collaboration with both computational researchers and clinical specialists in neuroscience and rehabilitation medicine.

• Brain-Computer Interfaces
• Electroencephalography
• Neural Engineering
• +3 more

Markus Rudolf Crell is a researcher at Graz University of Technology's Institute of Neural Engineering, specializing in Brain-Computer Interfaces (BCIs) using electroencephalography (EEG). His work focuses on decoding hand movements and handwritten characters for applications in Locked-in Syndrome communication, with active publications and conference participation from 2023-2025. His educational background includes: Bachelor of Science (B.Sc.) Master of Science (M.Sc.) Crell's research centers on neural signal processing for movement-based BCIs, addressing critical challenges in training data generation, motion termination detection, and handwritten character classification. Key focus areas include: Asynchronous movement-based BCI paradigms Continuous hand movement decoding from EEG Low-frequency EEG analysis for communication systems Machine learning integration for real-time BCI performance His 2023-2025 publications demonstrate consistent innovation in BCI data generation and decoding techniques, particularly through movement-offset information and kinematic approaches to handwritten character classification. This work bridges neuroscience and computer science to advance non-invasive communication systems for motor-impaired individuals. No scientific awards were documented in the provided information. While specific advisees and grants aren't listed, his active conference participation—including presentations at the Graz Brain-Computer Interface Conference and ÖGBMT Jahrestagung—indicates ongoing collaborative projects. His research trajectory suggests continued development of practical BCI applications through institutional partnerships. Crell operates within Graz University of Technology's neural engineering ecosystem, collaborating closely with G. R. Müller-Putz's research team. His work leverages institutional resources for EEG data collection and analysis, contributing to the university's prominence in BCI research through the Institute of Neural Engineering.

Engel Andreas KarlView profile

Professor

• Neurophysiology
• Cognitive Neuroscience
• Neural Synchrony
• +4 more

Engel Andreas Karl is a Full Professor of Physiology and Director of the Department of Neurophysiology and Pathophysiology at the University Medical Center Hamburg-Eppendorf (UKE). He also serves as Scientific Director of the Center for Experimental Medicine at UKE and holds visiting roles at Universitat Pompeu Fabra (Barcelona) and the University of Hamburg. His work focuses on neural synchrony, the binding problem, and consciousness. He earned his MD from the Technical University of Munich and has held prestigious fellowships including the DFG Heisenberg and Daimler-Benz Fellowships. Education: M.D. (Dr. med.), Technical University of Munich, 1987 Studies in Medicine and Philosophy at Saarland University, Technical University of Munich, and Goethe University Frankfurt Research Interests: Engel explores neural mechanisms of perception, action, and consciousness, particularly through EEG/MEG studies. Key areas include gamma oscillations, multisensory integration, and network dynamics in neurological disorders. His work bridges neurophysiology with theories of cognition, emphasizing sensorimotor coupling and enactive views of mind. Awards: ERC Advanced Grants (2023-2028; 2011-2016) Member of Hamburg Academy of Sciences Heisenberg Fellowship (DFG) Grants & Leadership: Coordinates Collaborative Research Centre SFB 936 ('Multi-Site Communication in the Brain') and leads studies on network dysfunction in disorders like schizophrenia and multiple sclerosis. His lab develops novel electrophysiological methods for resting-state network analysis. Labs/Teams: Center for Experimental Medicine (UKE), interdisciplinary collaborations in neurophysiology and computational neuroscience.

Dieter W. FellnerView profile

Professor

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +7 more

Dieter W. Fellner is a distinguished Professor of Computer Science at Technical University of Darmstadt, Germany, where he serves as Director of the Fraunhofer Institute of Computer Graphics (IGD). He also holds a concurrent position as Professor of Computer Science and Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. With a career spanning over three decades, Fellner has established himself as a leading figure in computer graphics, digital libraries, and related fields. Education: Diploma in Technical Mathematics, Graz (1981) Doktorate (Ph.D.) in Technical Mathematics, Graz (1984) Habilitation, Graz (1988) Professor Fellner's research spans multiple domains within computer science, with a primary focus on computer graphics and its applications. His work encompasses computational geometry, 3D modeling and rendering, virtual and augmented reality, and digital libraries with emphasis on cultural heritage preservation. He has made significant contributions to algorithms for integrating modeling and rendering processes, efficient visualization techniques, and generative modeling approaches. His research extends to practical applications in internet-based multimedia systems, where he coordinated a strategic initiative funded by the German Research Foundation that supported approximately 50 researchers across 21 groups from 1997 to 2005. An analysis of Professor Fellner's publication record reveals a consistent trajectory of innovation in computer graphics and digital document systems. His early work focused on foundational graphics algorithms and videotex systems, evolving toward more complex 3D document modeling, visualization techniques, and digital library architectures. A notable trend is his interdisciplinary approach, bridging computer graphics with applications in cultural heritage, bioinformatics, and brain-computer interfaces. His research demonstrates a progression from theoretical algorithms to practical implementations addressing real-world challenges in information visualization and knowledge management. Scientific Awards: Fellow of the Eurographics Association (2000) Member of the IST Advisory Group for the European Commission (ISTAG) (2007) Best Technical Paper Award (Günther Enderle Award) at Eurographics'98 Conference Honorary Doctorate from the University of Rostock (2019) Throughout his career, Professor Fellner has supervised numerous students and researchers, though specific names are not documented in the available sources. His leadership extends to significant grant activities, most notably coordinating the German Research Foundation's strategic initiative on distributed processing and mediation of digital documents from 1997 to 2005. This major project provided funding for approximately 50 researchers annually across 21 research groups, demonstrating his capacity to lead large-scale collaborative research efforts. He has also served on editorial boards of leading journals and program committees of international conferences, shaping the direction of research in his fields of expertise. Professor Fellner directs the Fraunhofer Institute of Computer Graphics (IGD) in Darmstadt, a prominent research institution focused on applied computer graphics. He also founded and chairs the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. These institutions serve as hubs for interdisciplinary research, bringing together computer scientists, domain experts, and industry partners to advance the state of the art in visualization, digital libraries, and knowledge management systems. The teams under his leadership have produced influential work in 3D document processing, cultural heritage digitization, and advanced visualization techniques.

Ulbert IstvánView profile

Professor

• Neuroscience
• Neuroengineering
• Electrophysiology
• +7 more

István Ulbert is a Full Professor at the Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, and leads the Integrative Neuroscience Group at the Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences. He has held prestigious roles including Director of the Institute (2014-2016) and Senior Research Fellow at Hungarian Academy of Sciences (2006-2013). MD (1997), PhD (2002) in Neurosciences, DSc (2014) in Biology Research focuses: MEMS-based neural sensors, brain oscillations, neuroengineering, and human sleep/epilepsy His work integrates electrophysiology with opto-electrical techniques to advance brain-computer interfaces and understand neural dynamics . Publications highlight innovations in neural recording technology and insights into attention mechanisms and cortical activity . Scientific Awards : Peter Friedrich Prize (2019) János Bolyai Research Scholarship (2005-2007) Dean’s Postdoctoral Fellowship (1999-2000) Young Investigator Fellowship (1999)

• Neurofeedback
• Brain-Computer Interfaces
• Cognitive Neuroscience
• +4 more

Dr. Silvia Kober is an Associate Professor at the Institute of Psychology within the Faculty of Natural Sciences at Karl-Franzens-University Graz, Austria. She maintains an active research program focused on neurofeedback, brain-computer interfaces, and cognitive neuroscience applications, with significant contributions to understanding how brain signals can be modulated for cognitive enhancement and rehabilitation purposes. As a member of the university's "Complexity of Life" profile area and the "Brain and behavior" research network, Dr. Kober's research spans multiple interdisciplinary domains: Neurofeedback training methodologies and efficacy assessment EEG and fNIRS applications in cognitive neuroscience Virtual reality integration with neurophysiological monitoring systems Cognitive rehabilitation applications for stroke, dementia, and multiple sclerosis Neural efficiency during cognitive and motor tasks Placebo effects and psychological factors in neurofeedback training Her recent publication trends reveal a strong emphasis on virtual reality applications in neurofeedback, with particular attention to cybersickness mitigation, user experience optimization, and multimodal approaches combining EEG, eye-tracking, and physiological measures. She has made significant methodological contributions to the field through participation in consensus initiatives like the CRED-nf checklist for neurofeedback studies. Dr. Kober has received several prestigious awards recognizing her research contributions: INGE St. Research Prize 2019 (Publication Category) Research funding program "International Communication" of the Austrian Research Foundation (2016, 2017) Top Paper Award at ISPR 2014 (15th International Conference on Presence) 1st Place Women's Advancement Award from NAWI Graz (2014) INGE St. Research Prize 2009 Her research program has secured multiple grants supporting international collaboration and innovative approaches to studying brain function. Dr. Kober's work has significant clinical implications, particularly for neurological rehabilitation, and she has contributed to establishing methodological standards in neurofeedback research that enhance the field's scientific rigor and clinical applicability.

Gernot Müller-PutzView profile

Professor

• Brain-Computer Interface
• Biomedical Engineering
• Machine Learning
• +1 more

Gernot Müller-Putz is a Professor at the Institute of Neural Engineering (Graz University of Technology), specializing in Brain-Computer Interfaces, Biomedical Engineering, and Machine Learning. His work bridges human neuroscience with computational systems for applications in neuroprosthetics and rehabilitation. Active projects: EU-INTRECOM (BCI for communication restoration), NeuroGrasp (AI-EEG neuroprosthetics), DDIA (immersive VR/AR analytics) Key research areas: Brain-computer interaction (100% BCI focus), neurorehabilitation (40%), and EEG signal processing (100%) Recent publications highlight advancements in BCI training paradigms, AR cognitive response analysis, and neuroprosthetic sensory restoration, with interdisciplinary connections to Artificial Intelligence , Medical Robotics , and Human Factors . Scientific Recognition : 2020 Best Paper Award 2019 CYBATHLON BCI Series 2nd Place Multiple Förderstipendium awards (2013-2014) Current leadership roles in 3 active research projects, including consortium management for NeuroGrasp and system development for EEG-Study truck driving scenario .

Eduardo Enrique VeasView profile

Professor

• Human-Centered Computing
• Augmented/Virtual Reality
• Human-AI Interaction
• +5 more

Eduardo Enrique Veas is Professor for Intelligent and Adaptive User Interfaces at the Institute of Interactive Systems and Data Science, Graz University of Technology. He also serves as Research Manager of the Human-AI Interaction area at Know-Center GmbH, integrating academic and industrial research. His work bridges theoretical and applied domains through the Human-Centered Computing Labs infrastructure. PhD in Computer Science - Graz University of Technology Masters in Information Science and Technology - Osaka University Software Engineering Degree - National University of Technology, Argentina Research focuses on creating synergistic human-AI collaboration frameworks through: AI-Human Synergy: Developing systems that adapt to user context and preferences Wearable Human Augmentation: Exploring immersive and wearable technologies Explainable AI: Building transparent systems for trustworthy interaction Recent publications demonstrate interdisciplinary approaches combining: EEG and physiological data analysis for real-time interaction XR (AR/VR) applications in industrial and safety-critical domains Continual learning architectures for adaptive AI Spatial-temporal data visualization techniques Teaching activities include: Masters Human Factors Lab seminar Wearable Computing course Intelligent User Interfaces curriculum Prototype development methodology Lab infrastructure supports: Wearable technology fabrication Vehicle human interaction studies Immersive computing environments