جست‌وجوی استاد و پژوهشگر

• Automatic Control
• Systems Engineering
• Machine Learning
• +۳ مورد دیگر

Bo Bernhardsson is a Professor at the Department of Automatic Control, Lund University, and a member of ELLIIT. He holds academic roles in multiple profile areas, including AI and Digitalization, Engineering Health, and Natural and Artificial Cognition. His research focuses on control systems, EEG signal analysis, radio-based sensing, and medical data modeling. Bernhardsson earned his Ph.D. in Automatic Control from Lund University in 1992, followed by a postdoc at the University of Minnesota. He returned to Lund as a docent (1998) and became a full professor in 1999. From 2001–2010, he worked at Ericsson on mobile system design before resuming his professorship at Lund. He has supervised over 30 students and contributed to projects like the European Spallation Source (ESS) and healthcare innovations. His work bridges theoretical analysis with practical applications in telecommunications and biomedical engineering. Education: Ph.D. in Automatic Control, Lund University, 1992 Postdoctoral Fellowship, Institute for Mathematics and its Applications, University of Minnesota Docent in Automatic Control, Lund University, 1998 Research Interests: Control of uncertain systems, EEG analysis, radio-based communication, medical data modeling, and industrial applications like the ESS. Grants & Projects: Includes "Learning pharmacometric model structures from data" (2022–2024) and "COVID-19: Dynamical modelling for estimation and prediction" (2020–2022). Labs/Teams: Involved in ELLIIT, LCCC, and initiatives like WASP. Engaged in projects like cloud computing, autonomous control systems, and biomedical robotics.

Leonardo Ceravoloمشاهده پروفایل

پژوهشگر

• Neuroscience
• Emotional Perception
• Cognitive Neuroscience
• +۵ مورد دیگر

Dr. Leonardo Ceravolo is a Senior Researcher and Lecturer at the Swiss Center for Affective Sciences, University of Geneva. His primary research focuses on understanding brain mechanisms underlying vocal perception, particularly attentional orienting through emotional stimuli and spatial perception. He employs advanced neuroimaging techniques like fMRI and fNIRS, alongside intracranial recordings. His work also explores sleep, memory, and emotional regulation, with a notable emphasis on music expertise and depression in the elderly. Dr. Ceravolo holds a Master’s degree (2009) and a Ph.D. (2013) from the University of Geneva. His research spans interdisciplinary areas, including cognitive neuroscience, behavioral studies, and neuroimaging applications in affective science. He has mentored numerous students, contributing to their academic and professional growth in neuroscience and related fields. His research interests are reflected in over 15 peer-reviewed articles, emphasizing vocal emotion processing, brain connectivity, and the interplay between attention and auditory stimuli. Collaborations with international researchers highlight studies on primate vocalization processing and the neural basis of emotional perception. Despite no explicit awards mentioned, his contributions to affective neuroscience have advanced methodologies in neuroimaging and human behavior analysis.

• Affective Neuropsychology
• Emotion Processing
• Clinical Neuroscience
• +۱۲ مورد دیگر

Prof. Dr. Johanna Kißler is a full Professor of General Psychology and Affective Neuroscience at Bielefeld University, affiliated with the Faculty of Psychology and Sport Science and the Department of Psychology. She leads the Affective Neuropsychology research unit (Unit 02) and is a key member of the Center for Cognitive Interaction Technology (CITEC), where she serves on the Board of Directors and leads a participating research group. She is also involved in the Center for Interdisciplinary Research (ZiF) as a board member and co-leads a subproject in the Collaborative Research Center SFB 1646 on linguistic creativity. Her research focuses on the neural mechanisms underlying emotion and language processing, particularly in clinical populations such as patients with epilepsy and disorders of consciousness. Using EEG, fMRI, and behavioral methods, she investigates emotional face and word perception, memory, emotion regulation, and verbal fluency. Her work often examines the impact of brain lesions, especially in the temporal and frontal lobes, on cognitive and affective functions. She has led numerous third-party funded projects from the German Research Foundation (DFG), federal agencies, and foundations, including the NeuroCommTrainer project aimed at developing brain-computer interfaces for severely brain-damaged patients. Her recent publications reflect a strong trend in affective neuroscience, clinical neuroimaging, and neurolinguistics, with a focus on EEG/ERP markers, gamma-band activity, hemispheric specialization, and multimodal assessment of emotional and cognitive processing. Themes include emotion regulation in epilepsy, social feedback processing, and the neural basis of linguistic creativity. German Research Foundation (DFG) Federal Government (Bund) Foundations (Stiftungen) She has received research funding for projects on memory in epilepsy, emotion processing, and brain-computer interfaces. She has supervised students and contributed to academic governance, having served as Dean of the Faculty of Psychology and Sports Science (2016–2019) and Dean of Graduate Studies (2013–2016). She teaches courses in psychology and medicine, including clinical neuropsychology and communication in medical contexts. Prof. Kißler is actively involved in interdisciplinary research teams, including CITEC, SFB 1646, and ZiF, where she collaborates on advanced topics in cognitive interaction, linguistic creativity, and consciousness research. Her lab focuses on affective neuropsychology, utilizing electrophysiological and neuroimaging methods to explore emotion-language interactions and clinical applications in neurorehabilitation.

Anil Nagathilمشاهده پروفایل

پژوهشگر

• Speech Signal Processing
• Audio Signal Processing
• Auditory Modeling
• +۵ مورد دیگر

Anil Nagathil is a Senior Research Scientist at the Institute of Communication Acoustics (Ruhr University Bochum), currently on leave while holding a Marie Skłodowska-Curie Global Fellowship at McMaster University (2025-2027). He holds a Dr.-Ing. degree from RUB (2016) following Dipl.-Ing. (2009), with prior academic experience at University of Birmingham (UK). Education: Dr.-Ing. (2016) and Dipl.-Ing. (2009) in Electrical Engineering, RUB Professional roles: Postdoc at RUB (2016-2023), Senior Research Scientist (2023-present), Visiting Scholar at McMaster University (2025-2027) His research focuses on statistical and machine learning-based speech/audio signal processing , with specific interests in auditory modeling , neural modeling , and EEG analysis for hearing instrument applications. Recent work includes WaveNet-based cochlear modeling , machine learning for spectral complexity reduction , and interactive music preprocessing for cochlear implant users. Publications span deep neural network approximation , music signal enhancement , and acoustic signal classification with 15+ peer-reviewed contributions since 2007. Current projects include neural network modeling of auditory transduction and individualized music remixing for hearing-impaired listeners.

Shuai ZHANGمشاهده پروفایل

پژوهشگر ارشد

• Swarm robots
• Robotics and autonomous systems
• Multi-robot/agent systems
• +۱۰ مورد دیگر

Shuai ZHANG is a Research Fellow at Nanyang Technological University (NTU), Singapore, working under the supervision of Prof. Chen Lv. He previously served as a Postdoctoral Fellow at the University of Hong Kong (HKU) with Prof. Jia Pan and completed his Ph.D. and Master's in Marine Science and Technology at Northwestern Polytechnical University under Prof. Mingyong Liu and Prof. Xingguang Peng. He was also a Joint Ph.D. student at the Intelligent Computational Engineering Laboratory (ICE LAB) at the University of Strathclyde, UK, supervised by Dr. Edmondo Minisci. Ph.D., Marine Science and Technology, Northwestern Polytechnical University Master, Marine Science and Technology, Northwestern Polytechnical University His research focuses on Swarm robots/drones , Robotics and autonomous systems , Swarm intelligence , and Bio-inspired optimization , with applications in Multi-robot/agent systems , Differential privacy , and Distributed control . He investigates collective behaviors in robotic systems using Game theory and Evolutionary dynamics , while integrating Smooth particle hydrodynamics and Agent-based modeling . Recent publications demonstrate expertise in EEG emotion recognition , BCI-assisted neurorehabilitation , and non-invasive brain-computer interfaces , with a trend toward geometric modeling in neural networks and adaptive signal processing. His work bridges theoretical models (e.g., transformers, co-adaptive networks) with practical implementations in embedded systems and wearable technologies. Associate Editor, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO 2023) He actively contributes to academic services as a reviewer for journals including IEEE Transactions on Robotics (T-RO), IEEE Robotics and Automation Letters (RA-L), and Complex & Intelligent Systems , reflecting his impact in robotics and computational neuroscience communities.

Jouko Lampinenمشاهده پروفایل

استاد

• Machine Learning
• Bayesian Statistics
• Neural Networks
• +۴ مورد دیگر

Jouko Lampinen serves as the Dean of the School of Science (SCI) at Aalto University, Finland, overseeing academic and research operations across the institution. His professional contact includes the dean-sci@aalto.fi email address and phone number +358505604827. Lampinen maintains an active research profile in computational information technology while fulfilling his administrative leadership role, with expertise grounded in advanced algorithmic and statistical methodologies. His research spans machine learning, Bayesian statistics, neural networks, and their applications in brain imaging (fMRI/MEG) and computer vision. Key interests include probabilistic modeling for emotion recognition, object detection in autonomous systems, and medical diagnostics. His work addresses critical challenges in reproducibility, scalability, and interpretation of complex models, bridging theoretical machine learning with practical neuroscience and robotics applications. This interdisciplinary focus demonstrates consistent innovation from the late 1990s through 2018. Analysis of his recent publications reveals a dominant trend in applying Bayesian methods and neural networks to neuroimaging data, with significant contributions to emotion processing algorithms, brain-computer interfaces, and point cloud analysis for autonomous vehicles. His scholarly output shows increasing emphasis on real-world validation of computational models, particularly in medical diagnostics and human-computer interaction contexts, while maintaining foundational work in statistical learning theory. No scientific awards or honors were documented in the provided information. Details regarding student mentorship, grant funding, or specific research teams/labs are absent from the source material, though his deanship implies strategic oversight of research infrastructure within Aalto University's School of Science.

Ilkka Muukkonenمشاهده پروفایل

پژوهشگر

• Psychology
• Neuroscience
• Cognitive Psychology
• +۳ مورد دیگر

Ilkka Muukkonen is a visiting researcher at Medicum, University of Helsinki, specializing in cognitive psychology and neuroscience. His work investigates facial expression recognition, attentional mechanisms, and multimodal perception using neuroimaging (fMRI/EEG) and virtual reality methodologies. Education: Doctor of Philosophy (PhD), University of Helsinki, 2024. Dissertation: Neural representations of facial expressions . Muukkonen's research explores neural decoding of social cues, particularly how the brain processes dynamic facial expressions and audiovisual speech in attention-demanding environments like the 'cocktail-party effect'. His work bridges cognitive psychology with advanced neurotechnology to understand empathy, emotion recognition, and perceptual integration. Recent publications (2022-2024) reveal consistent focus on neural correlates of facial expression discrimination, attentional entrainment to multimodal speech, and empathetic responses to virtual humans. Key trends include cross-modal integration studies, virtual-reality-based ERP paradigms, and fMRI/EEG analysis of dynamic social stimuli. No scientific awards were documented in the provided materials. He participated in the Academy of Finland-funded project Face memory - Bridging the gap from perceptual features to naturalistic memory representations (2015-2017) and contributed to the Behavioral and Brain Science Seminar (2022). No student advisement roles were indicated. Muukkonen operates within the Attentional Multimodal Networks research group at Medicum, conducting interdisciplinary studies on human attention and perception through collaborative neuroscience frameworks.

Tristan Bekinschteinمشاهده پروفایل

استاد

• Consciousness
• Cognitive Neuroscience
• Computational Neuroscience
• +۵ مورد دیگر

Dr. Tristan Bekinschtein is a Professor in the Department of Psychology within the School of Biological Sciences at the University of Cambridge, affiliated with Queens' College and the Behavioural and Clinical Neuroscience Institute. His research centers on consciousness, attention, and sleep transitions, employing computational modeling and EEG to investigate neural mechanisms across diverse clinical populations. His work spans three primary research lines: Transitions of Consciousness (studying wake-sleep-anesthesia shifts), Attention and Consciousness Modeling (neural dynamics of attention states), and Traces of Experience (quantifying subjective experience in conditions like autism and chronic pain). These integrate computational neuroscience , phenomenology , and clinical applications to decode consciousness through innovative methodologies including behavioral analysis and EEG. Analysis of recent publications reveals escalating focus on sleep onset complexity , neural information dynamics , and clinical translation for disorders of consciousness, autism, and chronic pain. His team's open-data practices have enabled extensive reanalyses, demonstrating strong methodological influence across cognitive neuroscience. Dr. Bekinschtein supervises PhD students including Barbara Jachs (2021), secured foundational Wellcome Trust funding (2011), and leads multiple ongoing grants supporting translational work. His Consciousness and Cognition Lab (established 2011) maintains active collaborations across Cambridge Neuroscience and international research networks. The lab operates through the Behavioural and Clinical Neuroscience Institute, emphasizing interdisciplinary approaches to translate computational models into clinical tools for autism (STREAM protocol), chronic pain, and disorders of consciousness, with recent expansion into psychedelic and meditative states.

Jochen Kaiserمشاهده پروفایل

استاد

• Working Memory
• Cortical Oscillations
• Auditory Processing
• +۲ مورد دیگر

Prof. Dr. Jochen Kaiser is a faculty member at the Institute of Medical Psychology , affiliated with the Faculty of Medicine at Goethe University Frankfurt . His work bridges neuroscience and cognitive psychology, utilizing advanced neuroimaging techniques to explore fundamental mechanisms of brain function. Research spans working memory , cortical oscillations , auditory processing , and multisensory integration . Employs Magnetoencephalography (MEG) , Electroencephalography (EEG) , and fMRI to decode neural representations and attention mechanisms. Recent publications highlight his contributions to understanding theta rhythms in attention , distractor resistance in memory , and neural plasticity through training . His studies often employ interdisciplinary approaches, combining computational modeling with neuroimaging to advance cognitive neuroscience . No formal scientific awards are mentioned in the provided text, but his work has been published in high-impact journals like Journal of Neuroscience and Nature Communications . He is based at the Institute of Medical Psychology , where he leads research on auditory and multisensory cognition, contributing to Frankfurt's reputation in neural dynamics and brain imaging domains.

Tobias H. Donnerمشاهده پروفایل

استاد

• Neurophysiology
• Cognitive Neuroscience
• Decision-Making Processes
• +۳ مورد دیگر

Prof. Tobias H. Donner is a Professor and Deputy Director at the Institute of Neurophysiology and Pathophysiology, part of the Universitätsklinikum Hamburg-Eppendorf. His research focuses on neurophysiological mechanisms underlying decision-making, neuromodulation, and cognitive processes. Key areas include the role of arousal systems in shaping cortical interactions, neurotransmitter dynamics (serotonin, noradrenaline), and computational models of evidence accumulation. His work bridges clinical and experimental neuroscience, investigating topics like psychosis proneness, aging-related cognitive changes, and neuropsychiatric disorders. Recent studies explore how catecholamines modulate decision biases and sensory processing. Donner’s lab employs advanced neuroimaging techniques (fMRI, MEG) and pharmacological interventions to dissect neural circuitries involved in perceptual and cognitive functions. Publications highlight themes such as pupil-linked arousal biomarkers, GABAergic inhibition in auditory processing, and large-scale brain network dynamics. Despite extensive contributions, no specific academic awards are explicitly listed in the provided texts. Advising and grant details are not detailed here, though his role as Principal Investigator suggests active research leadership. His work is conducted within the Center for Experimental Medicine, emphasizing translational research between basic neuroscience and clinical applications.

Nikolas Francisمشاهده پروفایل

استادیار

• Auditory Neuroscience
• Cortical Processing
• Perceptual Decision-Making
• +۲ مورد دیگر

Nikolas Francis is Assistant Professor in the Department of Biology at University of Maryland and member of the Brain and Behavior Institute. His research investigates neural mechanisms of auditory perception and decision-making using in vivo electrophysiology, 2-photon imaging, and automated behavioral paradigms in mice. He develops computational approaches to analyze cortical network dynamics during sensory-guided behavior. Education: PhD, Massachusetts Institute of Technology (2011) BA, University of Iowa (2003) His lab examines how auditory cortex represents and transforms sound information during perceptual tasks, focusing on neural coding principles, attention mechanisms, and decision processes. Recent work explores how psilocybin modulates cortical processing while preserving basic auditory representations. He has developed automated home-cage systems for longitudinal behavioral monitoring that reveal circadian patterns in task engagement. Analysis of his publications shows emphasis on information coding strategies across cortical layers, with recent work examining network-level information transfer and psychedelic modulation of sensory processing. His NIH-funded research combines neurophysiological recordings with computational modeling to understand neural sequence generation during decision-making. He teaches courses in neurobiology and mentors graduate students through UMD's Neuroscience and Cognitive Science program. His lab maintains collaborations with machine learning researchers developing novel analysis methods for neural ensemble data.

• Neuroscience
• Neurochemistry
• Visual Processing
• +۵ مورد دیگر

Gregor Rainer is a Professor in the Faculty of Science and Medicine at the University of Fribourg, specializing in Humane Medicine. His research focuses on neural circuits, neurochemical signaling, and cognitive processing, particularly in relation to the basal forebrain, default mode network, and visual systems. Department: Humane Medicine Email: gregor.rainer@unifr.ch Office: PER 09 bu. 2.100 B, Ch. du Musée 5, 1700 Fribourg Research Interests: Rainer's work explores the role of GABAergic neurons in sensory modulation, thalamocortical interactions, and mechanisms of brain-machine interfaces. He investigates metabolic pathways in neurodegenerative diseases, neural coding for communication restoration, and evolutionary neuroscience using tree shrew models. Scientific Contributions: His recent publications address frequency-specific neural modulation, sleep structure conservation in mammals, and the molecular basis of neurobehavioral dysfunction. Articles span from 2025 to 2011, covering topics from cortical dynamics to neurochemical analysis techniques.

Michael Pittsمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Consciousness Studies
• Sensation and Perception
• +۳ مورد دیگر

Michael Pitts is an Associate Professor of Psychology at Reed College, affiliated with the Division of Philosophy, Religion, Psychology, and Linguistics. He holds a Ph.D. from Colorado State University (2007) and completed postdoctoral training at UC San Diego's Institute for Neural Computation. His research focuses on the neural substrates of consciousness, employing EEG and behavioral techniques to study conscious vs. unconscious processing. Pitts co-leads the SCALP Lab with Enriqueta Canseco-Gonzalez, investigating sensation, cognition, and language processing. His teaching includes courses on cognitive neuroscience, attention, and consciousness research. Key research interests include electrophysiological correlates of awareness, attention mechanisms, and no-report paradigms. Recent grants include a Kavli Institute Innovative Research Grant (2010-2011) and postdoctoral training support from UCSD. His work has appeared in top journals like Science , Current Biology , and NeuroImage . Pitts collaborates internationally on adversarial testing of consciousness theories and maintains active participation in open science initiatives. Lab activities utilize 64-channel EEG systems to explore visual/auditory perception. Notable contributions include identifying the 'perceptual awareness negativity' ERP marker and advancing methodologies for isolating neural correlates of consciousness. Office hours are appointment-based via scheduling tools.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Benjamin Volmer is a Lecturer at the UniSA STEM division of the University of South Australia. His research focuses on cognitive load reduction in augmented reality (AR) and virtual reality (VR) environments through predictive cue design, human-computer interaction (HCI), and neural response analysis using electroencephalography (EEG). Current Lecturer at University of South Australia Research Degree Supervisor Member of Wearable Computer Lab Collaborator with international institutions Research Trends: Recent publications analyze incongruent information processing in AR systems, multi-level precueing for procedural tasks, and brain-computer interface (BCI) applications in immersive environments. His work demonstrates how EEG metrics and ERP components (e.g., N400, P600) can optimize AR/VR interfaces. Grants: Supported by Australian Research Council (ARC DP180100755) and TU Graz Open Access Publishing Fund. Collaborative efforts span institutions including Columbia University, University of Tokyo, and Keio University. Labs & Collaborations: Affiliated with the Wearable Computer Lab and Australian Research Centre for Interactive and Virtual Environments at the University of South Australia. International partnerships include Graz University of Technology, Columbia University, and Keio University.

Christian Brodbeckمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Speech Processing
• Computational Modeling
• +۳ مورد دیگر

Christian Brodbeck is an Assistant Professor in the Department of Computing and Software at McMaster University. He holds a Ph.D. from New York University (2016) and leads a research team focused on the neural mechanisms of speech and language processing. His lab employs MEG, EEG, and computational modeling to investigate real-time language comprehension in complex auditory environments. Research Focus : Brodbeck's work integrates cognitive neuroscience, computational modeling, and signal processing. Key areas include: Neural dynamics of speech feature processing (acoustic to sentential) Neuro-computational models of speech recognition using RNNs Cortical tracking of speech in multi-talker environments Development of open-source tools like Eelbrain for neural data analysis Publication Trends : His 35+ articles (2011-2025) show evolving focus from neuroimaging methodologies (MEG/EEG toolkits) to advanced models of speech comprehension. Recent works emphasize real-time neural processing in ecological contexts, bilingual interference, and clinical applications (e.g., post-stroke cognitive disorders). Team & Advising : He supervises 6 students across PhD, MSc, MEng, and undergraduate levels, including projects on: EEG-based speech decoding (Joshua Ighalo) Adaptive neurotechnologies for cognitive monitoring Auditory testing pipelines