Find Academic Supervisors

Christian BrodbeckView profile

Assistant Professor

• Cognitive Neuroscience
• Speech Processing
• Computational Modeling
• +3 more

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

Roozbeh BehroozmandView profile

Associate Professor

• Speech Neuroscience
• Sensorimotor Control
• Neurophysiology
• +4 more

Roozbeh Behroozmand is an Associate Professor in the Department of Speech Language and Hearing at The University of Texas at Dallas's School of Behavioral and Brain Sciences. He directs the Speech Neuroscience Lab at the Callier Center, focusing on neural mechanisms of speech production and sensorimotor control. His work integrates EEG, fMRI, and HD-tDCS techniques to study speech disorders in conditions like Parkinson's disease and post-stroke aphasia. Education: PhD in Communication Sciences and Disorders (Northwestern University, 2011) MSc in Biomedical Engineering (Amirkabir University of Technology, 2006) BSc in Electrical Engineering (University of Tehran, 2003) Research emphasizes: Neurophysiological biomarkers of speech disorders Speech auditory feedback processing Neurorehabilitation via brain stimulation Sensory-motor integration mechanisms Recent work highlights: Disrupted neural connectivity in aphasia patients HD-tDCS effects on vocal control Attention's role in speech feedback adaptation Awards include multiple NIH grants (totaling $5.8M) and recognition from the American Speech-Language-Hearing Association. Current projects investigate aphasia biomarkers, Parkinson's speech deficits, and telepractice voice therapy efficacy. Lab collaborations span neuroimaging, computational modeling, and clinical translation.

Maria Concetta MorroneView profile

Professor

• Human neuroscience
• Vision during eye movements
• Brain plasticity
• +5 more

Maria Concetta Morrone is a Professor of Physiology at the School of Medicine, University of Pisa, with a distinguished career spanning multiple institutions including Università Vita-Salute San Raffaele (2000-2008), Italian Institute of Technology (2008-2017), CNR Institute of Neuroscience (1995-2000), and Scuola Normale Superiore (1981-1995). Her research bridges biophysics, visual perception, and computational neuroscience. Education: Physics (University of Pisa, 1977); Biophysics training (Scuola Normale Superiore, 1973-1980) Research Interests: She investigates human spatial vision, attention mechanisms, multisensory perception, brain plasticity in development and neurodevelopmental disorders, and computational models applied to robotics. Her work incorporates psychophysics, electrophysiology, ultra-high field fMRI, and artificial intelligence. Scientific Recognition: Awards include the Ken Nakayama Medal (2019), ERC-IDEA Advanced Grant (2014), and Accademia Dei Lincei honors (2002). She has coordinated multiple European Community grants.

Edmund LalorView profile

Associate Professor

• Human sensory neurophysiology
• Brain-computer interfacing
• Computational neuroscience
• +3 more

Edmund Lalor is an Associate Professor in the Departments of Biomedical Engineering and Neuroscience at the University of Rochester. He holds a B.E. in Electronic Engineering (University College Dublin, 1998), M.Sc. in Electrical Engineering (University of Southern California, 1999), and a PhD in Biomedical Engineering (University College Dublin, 2006). His research focuses on quantitative modeling of sensory electrophysiology in humans, particularly examining neural processing of natural stimuli like speech and video. Key areas include attentional mechanisms, multisensory integration, and clinical applications in schizophrenia and developmental disorders. Educations: B.E. (Electronics), UCD (1998); M.Sc. (Electrical Engineering), USC (1999); PhD (Biomedical Engineering), UCD (2006). Research interests emphasize computational neuroscience, cortical tracking of natural speech, and the neural basis of sensory processing deficits in clinical populations. His work combines EEG analysis with deep learning techniques to decode attentional selection and improve brain-computer interfaces. Collaborations include studies on auditory processing in schizophrenia and neurophysiological correlates of language comprehension in aging populations. Scientific contributions include developing the mTRFpy Python package for temporal response function analysis, and pioneering EEG-based methods to decode attended speech in multispeaker environments. Current efforts explore how context and attention shape neural encoding of linguistic meaning through dynamic modeling approaches.

• Signal Processing
• Audio and Speech Processing
• Pattern Recognition
• +3 more

Kris Demuynck is an Associate Professor at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and Information Systems (EA06), and leads the Internet Technology and Data Science Lab. With expertise in audio/speech processing, pattern recognition, and biomedical NLP, he supervises 14 doctoral researchers and contributes to speech recognition for healthcare and low-resource languages. Current projects: Core speech technology, NeLF (Flemish speech recognition), BioLORD-2023 (biomedical semantic models) Past grants: Special Research Fund, FWO, bilateral agreements Research Interests : Speech recognition architectures combining linguistic features with neural networks Biomedical semantic representation learning using LLMs and knowledge graphs Robust speaker verification and diarization in multi-speaker environments Selected Publications (2024-2025) demonstrate advancements in audio hashing, clinical NLP, and stress biomarker detection. His 15 most recent works span speech enhancement, speaker separation, and multilingual model adaptation. Supervision : Mentored doctoral projects on time series analytics, speech intelligibility, and pathological voice analysis. Active collaborations include FWO-funded precision health initiatives and industrial research fund projects on child linguistic analysis.

Sophie AdamaView profile

Researcher

• Machine Learning
• Neuroprosthetics
• Neuro-inspired Signal Processing
• +3 more

Sophie Adama is a Researcher at the Department of Neuromorphic Information Processing within the Faculty of Mathematics and Computer Science at the University of Leipzig . Her work focuses on machine learning applications in neuroprosthetics, brain-computer interfaces, and signal processing for consciousness assessment. Research areas: Machine Learning, Neuroprosthetics, EEG Signal Processing, Disorders of Consciousness Key collaborations: Prof. Dr. Martin Bogdan, Ujwal Chaudhary, Niels Birbaumer Email: adama@informatik.uni-leipzig.de Her publications since 2016 demonstrate a consistent focus on developing and applying machine learning techniques to analyze EEG data in clinical contexts, particularly for disorders of consciousness and neurological rehabilitation. She has pioneered soft-clustering approaches for consciousness assessment in CLIS patients. Current research includes: EEG-based consciousness detection BCI-FES integration for stroke/Parkinson's rehabilitation Coherency analysis in neural signals Automated sleep stage analysis for neurological patients Development of DoC-Forest diagnostic tool Time-domain EEG signal processing for attention focus prediction

Dominik EndresView profile

Professor

• Cognitive Neuroscience
• Sensorimotor Integration
• Machine Learning
• +7 more

Dominik Endres is a Professor at the Department of Psychology , Philipps-Universität Marburg , leading the Theoretical Cognitive Science working group. His research spans Cognitive Neuroscience , Sensorimotor Integration , and Machine Learning , with a focus on modeling how the brain represents knowledge and controls movement. His team investigates Movement Primitives in virtual reality, Bayesian Inference in attention control, and Formal Concept Analysis in decoding neural data. Recent work includes reaction time decomposition , VR immersion studies , and assistive technology development for neurological disorders. Publications highlight sensorimotor hierarchies , relational coding , and dynamic human motion modeling . Collaborations include the International Research Training Group 1901 , SFB/TRR 289 , and GRK 2271 . His team includes researchers like Neda Meibodi (PhD student) and Benjamin Knopp (Scientific Staff), with projects involving VR experiments and cognitive modeling .

Carolina BergelingView profile

Senior Lecturer

• Brain-Computer Interfaces
• Control Engineering
• Marine Engineering Systems
• +3 more

Carolina Bergeling is a Senior Lecturer in control engineering at the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH), a position she has held since January 2022. Her research spans the interdisciplinary fields of Brain-Computer Interfaces, control engineering, and marine engineering systems. Dr. Bergeling's research interests focus on: Brain-Computer Interfaces and neural signal processing Control of complex systems, particularly in marine environments H-infinity optimal control theory and applications Systems engineering approaches to multi-agent and distributed systems Her recent publications demonstrate a strong focus on applying advanced control theory to Brain-Computer Interface technologies, with particular emphasis on tensor decomposition methods, domain adaptation techniques, and multi-armed bandit approaches for improving EEG signal processing and neural decoding. She also maintains an active research program in H-infinity optimal control, with contributions to theoretical foundations and practical applications in marine engineering contexts. Dr. Bergeling's scientific contributions include: Advancements in tensor decomposition techniques for transfer learning applications in BCI Novel methods for improving EEG-based decoding of auditory attention through domain adaptation Applications of multi-armed bandit theory to brain-computer interface calibration Significant contributions to H-infinity optimal control theory for various system classes She teaches courses in control engineering and robotics, and serves as a supervisor for projects in the Marine Engineering program at BTH. Her ongoing research project focuses on "Swarming technology for cooperative surface and underwater vehicles (drones)," demonstrating her commitment to applying theoretical control concepts to practical marine engineering challenges.

Fatma DenizView profile

Professor

• Computational Neuroscience
• Data Science
• Artificial Intelligence
• +5 more

Fatma Deniz is a Full Professor at the Faculty of Electrical Engineering and Computer Science, Technische Universitaet Berlin. She combines computational neuroscience , data science , and artificial intelligence to investigate how complex information is encoded in the human brain during natural tasks. Her lab develops machine-learning approaches for analyzing multimodal brain data, with a current focus on multilingual brain representation . Education: PhD in Computational Neuroscience (Bernstein Center Berlin), M.Sc. in Computer Science (Technical University of Munich), thesis work at Caltech Past Appointments: Helen Wills Neuroscience Institute (UC Berkeley), Berkeley Institute for Data Science, International Computer Science Institute (Berkeley) Her research spans scientific reproducibility (co-editor of a UC Press book), image-based authentication (MooneyAuth), and Mooney image databases . She has received prestigious fellowships including Moore-and-Sloan Data Science Fellow and DAAD Postdoctoral Fellowship . Her GitHub repository denizenslab/pymooney contains Python tools for generating Mooney images. Scientific Awards: Moore-and-Sloan Data Science Fellow DAAD Postdoctoral Fellow Her work has been featured in major media outlets including Nature Neuroscience , MIT Technology Review , Discover Magazine , and ScienceDaily .

Andrea HalpernView profile

Professor

• Cognitive Psychology
• Music Cognition
• Auditory Imagery
• +3 more

Andrea Halpern serves as Professor of Psychology and Department Co-Chair at Bucknell University, where she also contributes to the Neuroscience Program. Her primary academic affiliation is with the Department of Psychology within the university's structure. Her educational foundation includes: Ph.D. in Psychology from Stanford University B.A. in Psychology from Brandeis University Professor Halpern's research centers on cognitive processes for nonverbal materials , with groundbreaking work on auditory imagery —the mental experience of "hearing tunes internally." She investigates how musicians and nonmusicians process musical memory, the impact of normal aging and Alzheimer's disease on musical cognition, and individual differences in singing accuracy. Her methodology bridges traditional experimental psychology with cutting-edge cognitive neuroscience techniques like fMRI and EEG, revealing neural mechanisms underlying musical perception. Analysis of her 2015-2023 publications shows consistent focus on music cognition with three dominant threads: (1) neural correlates of auditory imagery using neuroimaging, (2) age-related changes in musical processing and emotion, and (3) comparative studies of musicians versus nonmusicians. Her work frequently examines subvocalization , pitch memory , and sensorimotor synchronization , demonstrating interdisciplinary collaboration across psychology, neuroscience, and musicology. Professor Halpern maintains active research partnerships with institutions worldwide, evidenced by her extensive co-authorship network. While specific grant details aren't provided, her sustained publication output in high-impact journals indicates robust research support. She contributes significantly to both the Psychology Department and Neuroscience Program through teaching and leadership as Department Co-Chair.

• Cognitive Neuroscience
• Clinical Linguistics
• Aphasia Rehabilitation
• +3 more

Anna Rysop is a Doctoral Researcher at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, conducting her PhD work in cooperation with University Medicine Greifswald. Her research bridges cognitive neuroscience and clinical linguistics with a focus on neurorehabilitation for language disorders, utilizing advanced neurostimulation techniques to develop innovative therapeutic interventions. Her academic credentials include: M.Sc. in Cognitive and Integrative Systems Neuroscience, Philipps University of Marburg (2014-2018) M.A. in Clinical Linguistics, Philipps University of Marburg (2013-2017) B.A. in Language and Communication, Philipps University of Marburg (2010-2013) Rysop's research program investigates neural mechanisms of speech comprehension across the lifespan, with particular emphasis on aging effects and neurological conditions like stroke-induced aphasia and primary progressive aphasia. She pioneers home-based telerehabilitation protocols combining transcranial direct current stimulation (tDCS) with speech therapy, exploring neural network dynamics through multimodal approaches including TMS-EEG. Her work demonstrates how non-invasive brain stimulation can enhance language recovery in challenging listening conditions and neurodegenerative contexts. Analysis of her 2021-2025 publications reveals a clear evolution from foundational neural mechanism studies to clinical translation, with 2024-2025 work dominating in home-based tDCS applications and international consensus-building for primary progressive aphasia outcomes. Her research consistently integrates patient-centered design, as seen in participatory intervention development and cross-cultural core outcome sets. No scientific awards or fellowships were documented in available sources. As a doctoral researcher, Rysop currently has no formal advisees but contributes to training through workshops like her 2019 TMS session. Her work is fundamentally supported by the International Max Planck Research School NeuroCom framework, which facilitates interdisciplinary collaboration between cognitive scientists and clinicians. She operates within the Research Group Cognition and Plasticity at the Max Planck Institute, utilizing advanced neuroimaging and brain stimulation laboratories. Her current projects focus on telerehabilitation scalability, neural biomarker identification for treatment response, and developing standardized protocols for global clinical implementation in aphasia rehabilitation.

Joseph ToscanoView profile

Associate Professor

• Speech Perception
• Language Processing
• Cognitive Neuroscience
• +5 more

Joseph Toscano is an Associate Professor in the Department of Psychological and Brain Sciences at Villanova University. He is currently on leave, serving as a Rotating Program Director at the National Science Foundation (NSF) since 2024. His research bridges speech perception, language processing, and cognitive neuroscience, integrating computational models, neuroimaging, and behavioral studies. Dr. Toscano teaches graduate and undergraduate courses in psychology, neuroscience, and cognitive science, including a lab course on speech perception for non-science majors. His lab, the Word Recognition & Auditory Perception (WRAP) Lab, focuses on topics like top-down effects on perception, hearing difficulty, computational models of speech development, and acoustic cue integration. The lab emphasizes inclusivity and student-driven research. His recent publications analyze gradient activation of referents in speech, neural decoding of speech sounds, and impacts of face masks on speech recognition. Key research themes include maintaining sub-phonemic uncertainty over time, cross-modal perception, and adaptive speech processing. Scientific awards include Best Student Paper in Speech Communication — First Prize (2006) Best Student Paper in Speech Communication — Second Prize (2008) Graduate Student Travel Award from the Psychonomic Society (2017) Graduate Student Travel Award from the Psychonomic Society (2015) Dr. Toscano has supervised numerous M.S. students, including Harini Sankar (2024), Reet Patel (2024), and Grace Gervino (2023), with projects spanning computational models of speech perception to effects of bilingualism on vowel categorization. The WRAP Lab welcomes researchers across disciplines to explore perception and cognition.

Jonas OlofssonView profile

Professor

• Olfaction
• Perception
• Memory
• +5 more

Jonas Olofsson is a Full Professor of Psychology at Stockholm University, where he leads the Sensory Cognitive Interaction Laboratory. His research explores the intersection of olfaction, memory, and emotion, with a focus on how smell influences cognitive processes. He investigates olfactory markers for dementia, odor-naming challenges, and therapeutic applications of smell-based interventions. His work employs behavioral experiments and neuroimaging techniques. Olofsson holds a PhD from Umeå University (2008) and a docentship from Stockholm University (2009). He has held affiliations with Northwestern University, The Scripps Research Institute, Karolinska Institutet, and New York University. His research is funded by the Swedish Research Council, Wallenberg Foundations, and the Swedish e-Science Research Centre. His recent publications emphasize olfactory dysfunction in aging and post-COVID contexts, virtual reality applications for smell training, and cross-cultural studies of odor perception. Articles frequently integrate neuroscience, psychology, and computational methods to decode sensory-cognitive interactions. Awards include: Member of Academia Europaea (2021) Wallenberg Academy Fellow (2016) Fulker Award for best article in Behavior Genetics (2009) Swedish National Committee Prize for Young Researchers (2010) He directs the Sensory Cognitive Interaction Laboratory, coordinating interdisciplinary projects on olfactory perception and its clinical applications. No student advisees or part-time status are explicitly mentioned.

Andreas KeilView profile

Professor

• Cognitive Neuroscience
• Psychophysiology
• Emotion
• +5 more

Andreas Keil is a Professor of Psychology at the University of Florida, affiliated with the Department of Psychology and the Center for the Study of Emotion & Attention. He holds the title of Research Foundation Professor and has served as a faculty member since 2012. His academic journey includes earning a PhD from the University of Konstanz (2000) and habilitation (2003). Keil's research focuses on how perception is shaped by internal states, emotions, and learning, utilizing EEG, fMRI, and behavioral paradigms. Education: Diplompsychologe (1997), PhD 'Summa Cum Laude' (2000), Habilitation (2003) Key positions: Director of Behavioral and Cognitive Neuroscience (2019–present), Editorial roles in Psychophysiology and Frontiers Research Interests: Emotion-cognition interactions, neural plasticity in sensory systems, and translational neuroscience. His work investigates how fear conditioning alters visual cortex activity and how emotional engagement affects cognitive performance. Notable achievements: Over 200 peer-reviewed articles, grants from NIH/NIMH, NSF, and ONR. Awards include membership in the Berlin-Brandenburg Academy of Sciences and term professorships. Lab collaborations span engineering, education, and medicine at UF, with global partnerships. Current projects include computational neuroscience frameworks for emotion processing and neural mechanisms of aversive learning.

Anne-Marie BrouwerView profile

Professor

• Psychophysiology
• Cognitive Neuroscience
• Human-Computer Interaction
• +3 more

Anne-Marie Brouwer is a Professor (part-time) at Radboud University’s Donders Institute for Brain, Cognition and Behaviour, holding the chair in ‘Mental State Monitoring’. She concurrently serves as Senior Scientist at TNO Human Factors (Soesterberg, Netherlands). Her work focuses on extracting cognitive and emotional states from physiological signals (EEG, skin conductance, eye tracking) and applying these insights to improve human performance and well-being in real-world contexts. Education: MSc in Experimental Psychology (Radboud University, 2002) Her research emphasizes multi-modal signal integration, leveraging wearables and lab equipment to predict behavior and mental states. Key themes include attention monitoring, interpersonal physiological synchrony, and ethical applications of biometric data. Her interdisciplinary approach bridges neurocognitive science with human factors engineering. Her recent work explores how physiological synchrony reflects shared attention in groups and develops robust measures of attentional engagement using wearable sensors. While no awards are explicitly listed, her contributions to mental state monitoring are recognized through her academic and industry roles. Advising and grants: No formal advisees listed, but her research labs at TNO and Radboud collaborate on applied projects. Current focus includes food experience, man-machine interaction, and real-time cognitive assessment systems. Labs/teams: Active in Donders Institute’s interdisciplinary teams and TNO’s Human Performance division.