Find Academic Supervisors

• Psycholinguistics
• Speech Production
• Bilingualism
• +3 more

Joana Cholin is a Professor of Psycholinguistics at Bielefeld University's Faculty of Linguistics and Literature since 2022. Her research focuses on speech production , stuttering mechanisms , linguistic creativity , and bilingual aphasia . Education : PhD in Linguistics (2004, Radboud University Nijmegen); MA in General Linguistics (1999, Heinrich Heine University Düsseldorf) Her research explores self-monitoring processes in neurotypical and impaired speakers, phonetic-phonological encoding in stuttering, and multimodal creativity in speech-gesture production. Recent projects include CRC1646 subprojects on phonetic innovations and word formation. Key publications analyze syllable frequency effects in English and German, motor learning in stuttering adults , and morpho-phonological interfaces . Articles appear in journals like Cognition , Brain and Language , and Frontiers in Psychology . Scientific Awards : Marie-Curie Research Fellowship (2007-2009), NIH Postdoctoral Fellowship (2005-2007) Current Roles : Project lead in CRC1646 subprojects A02, C01, and C02 Collaborations span institutions including Université catholique de Louvain , Ruhr-University Bochum , and Johns Hopkins University .

Farzeen MunirView profile

Researcher

• Robotics
• Artificial Intelligence
• Machine Learning
• +4 more

Farzeen Munir is a Postdoctoral Researcher at Aalto University's Department of Electrical Engineering and Automation, affiliated with the Mobile Robotics research group. Their work bridges robotics, computer vision, and biomedical signal processing. University: Aalto University Department: Department of Electrical Engineering and Automation Role: Researcher Email: farzeen.munir@aalto.fi Research Interests: Focus on robotics, autonomous driving, and machine learning. Key areas include: Pedestrian intent and trajectory prediction Multimodal sensor fusion (LiDAR, radar, thermal imaging) Deep learning for vehicle control and perception Domain adaptation in vision transformers Biomedical applications of evolutionary-neural systems Publication Trends: Recent work emphasizes context-aware models for autonomous driving, thermal imaging in low-light environments, and hybrid neural architectures combining attention mechanisms with domain adaptation. Collaboration spans AI, robotics, and biomedical engineering. Research Groups: Active in Aalto University's Mobile Robotics group, focusing on perception-action loops and real-world system validation.

Yves BoubenecView profile

Associate Professor

• Auditory Cognition
• Neural Basis of Auditory Processing
• Attention Mechanisms
• +5 more

Yves Boubenec is an Associate Professor (maître de conférences) in neuroscience at the École Normale Supérieure (ENS) in Paris, where he is affiliated with the Department of Cognitive Studies and the Perceptual Systems Laboratory. His research focuses on the neural basis of auditory cognition, particularly how attention, learning, and memory interact with auditory processing at the cortical level. He teaches neurophysiology of auditory perception at ENS through the IMaLiS and Cogmaster programs. His research spans three main conceptual angles: Attention , examining how top-down attention modulates auditory processing; Learning , studying how exposure to natural sounds shapes auditory perception across multiple time scales; and Memory , investigating how exposure to sounds leaves long-term traces in auditory cortex. He employs mesoscopic-scale neural recording techniques including electrophysiological recordings of neuronal populations and large-scale functional UltraSound (fUS) neuroimaging. Boubenec's recent publications (2023-2024) reveal a strong focus on speech processing, task engagement effects on auditory cortex, evidence integration across sensory modalities, and the neural mechanisms underlying categorical perception. His work frequently involves cross-species comparisons (particularly using ferrets) and combines experimental approaches with theoretical modeling. His laboratory offers multiple internship opportunities for students at various levels (L3, M1, M2, DENS) focusing on hemogenetic imaging, cross-species comparison of rhythm perception, and learning dynamics in biological and artificial networks. Boubenec collaborates extensively with researchers including Shihab Shamma, Srdjan Ostojic, and various interdisciplinary teams across neuroscience, acoustics, and computational modeling fields. His work bridges fundamental neuroscience with applications in speech processing and artificial intelligence.

• Neuroscience
• Motor Learning
• Stroke Rehabilitation
• +3 more

Catharina Zich is a Postdoctoral Scientist in the Physiological Neuroimaging Group (PiNG) at the Nuffield Department of Clinical Neurology , University of Oxford , affiliated with the OxCIN and Neuroplastics Network . She investigates the neural mechanisms of motor (re-)learning and stroke rehabilitation using multi-modal neuroimaging (mobile EEG, MEG) and kinematic analysis via the Kinarm system. Her work bridges basic neuroscience and clinical applications , focusing on biomarkers for spontaneous recovery in acute stroke and therapy-induced recovery in chronic stages. She teaches on the B.A. Biomedical Sciences and M.Sc. Neuroscience programs at Oxford. Recent publications (2025) highlight trends in beta/gamma oscillations , post-stroke neuroplasticity , and neurofeedback efficacy . Collaborations span University College London , University of Birmingham , and University of Essex .

• Neuroscience
• Computational Biology
• Neurology
• +4 more

David Kastner is an Adjunct Instructor in the Department of Psychiatry at the University of California, San Francisco (UCSF) , affiliated with the UCSF Weill Institute for Neurosciences . Holding a MD-PhD in Neuroscience from Stanford University (2014) , his research spans interdisciplinary neuroscience, computational biology, and neurophysiology.

Katja FiehlerView profile

Professor

• Perception-Action Coupling
• Sensorimotor Integration
• Tactile Suppression
• +5 more

Prof. Dr. Katja Fiehler is a leading academic at the Justus Liebig University Giessen , where she holds the Chair of Experimental Psychology: Perception & Action since 2020. Her research bridges psychophysics , motion tracking , and neuroimaging (EEG/fMRI) to explore how sensory information shapes spatial perception and goal-directed movements. Education: Habilitation (2011), Venia legendi in Psychology, Philipps University Marburg PhD (2005), Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig Diploma in Psychology (2001), Technical University Dresden Her work focuses on sensorimotor integration , tactile suppression , and predictive coding during tasks like grasping, pointing, and balance control. She investigates how visual , tactile , and proprioceptive signals interact with attention and working memory to refine movement execution. Recent studies leverage virtual reality and eye-tracking to simulate complex environments. Project leadership includes DFG IRTG-1901 (The Brain in Action) and membership in the SFB/TRR-135 (Cardinal mechanisms of perception). Collaborative efforts span neuroimaging , VR tool development , and interdisciplinary research on aging and neuropsychiatric cohorts.

Peter HenziView profile

Professor

• Primate socio-ecology
• Animal behaviour
• Primate sociality and cognition
• +5 more

Peter Henzi is Professor in the Department of Psychology at the University of Lethbridge (Alberta, Canada) with an adjunct research chair at the University of South Africa and affiliation at the University of the Witwatersrand Medical School. His research centers on behavioural ecology of southern African primates and human social cognition development. His core research areas include primate socio-ecology (specializing in baboons and vervet monkeys), animal behaviour, and human social cognition. Key investigations examine predator-prey dynamics, infection impacts on primate societies, spatial decision-making, and child social development. This work integrates field observations with evolutionary theory to analyze how ecological pressures shape cognitive and social structures. Analysis of Henzi's 2019-2021 publications reveals consistent interdisciplinary focus on primate behavioural adaptations and cognitive evolution. His studies demonstrate methodological integration of field ecology, immunology, and cognitive science, particularly examining how physiological states (e.g., fever) modulate social interactions and how embodied action informs social brain development. No scientific awards were explicitly attributed to Peter Henzi in the source materials. Henzi co-directs the Barrett-Henzi Lab with ongoing NSERC (Canada) and NRF (South Africa) funding. The lab operates as an international collaborative network spanning University of Lethbridge, University of South Africa, University of the Witwatersrand, and partners in Calgary/Aberdeen. It actively recruits students and field researchers for primate behaviour projects in southern Africa, emphasizing collaborative ventures in socio-ecological research.

• Medical Robotics
• Rehabilitation Robotics
• Human-Robot Interaction
• +4 more

Dr. Nicolás García-Aracil is an Associate Professor at Miguel Hernández University of Elche, Spain, affiliated with the Department of Systems Engineering and Automation. He serves as Deputy Director of the Institute of Bioengineering and Director of the Chair of Advanced Technologies for Rehabilitation. PhD in Robotics (Summa Cum Laude, National Research Prize, 2004) M.Sc. in Control Engineering (1996) M.Sc. in Design, Robotics and Industrial Automation (1997) B.Sc. in Electronics Engineering (1992) His research focuses on medical robotics , rehabilitation robotics , and human-robot interaction , with applications in stroke recovery , prostate cancer visualization , and assistive technologies . Recent publications emphasize dynamic adaptation , neuro-fuzzy systems , and multimodal interfaces for therapeutic optimization. Best Thesis in Robotics, National Research Prize (Spanish Federation of Automatic Control, 2004) Summa Cum Laude PhD Thesis (2004) 1st Accesit for PhD Thesis (2004) Active in European Union Horizon 2020 projects like AIDE and FP7 initiatives (ECHORD, MAAT). Serves as Editorial Board member for BioSystems & Biomechanics and has guest-edited multiple JCR journal special issues.

• Robot Vision
• Robot Learning
• Computer Vision
• +4 more

Joni-Kristian Kämäräinen serves as Professor of Signal Processing within the Computing Sciences department at Tampere University, where he leads research in the Vision Group. Previously, he held faculty positions at LUT University's School of Engineering Science for five years before joining Tampere University in 2012 (tenured 2017, promoted to full professor in 2020). His academic journey includes a postdoctoral fellowship at the University of Surrey's Center of Vision, Speech and Signal Processing under Josef Kittler. His research centers on robot vision and robot learning , with significant contributions to computer vision and machine learning. Key focus areas include visual place recognition, RGB-D tracking, color constancy, and anthropometric measurements. His group maintains strong industry collaborations with Huawei, Nokia Technologies, and Business Finland-funded projects. His publication portfolio shows a clear trajectory toward real-world robotic applications, with recent work emphasizing visual place recognition under varying conditions (2022-2024), depth-aware video processing (2023-2024), and reinforcement learning for industrial manipulators (2023-2025). The 2023 textbook Koneoppimisen perusteet (Machine Learning Fundamentals) demonstrates his commitment to education. Expert Statement for Finnish Parliament (2022) on AI solutions Contributor to Finnish Roadmap: Robots and the Future of Welfare Services (2021) Featured in YLE Uutiset (2018), Aamulehti (2021), and multiple technical press outlets He has supervised 20 PhD students since 2007, including Vivienne Huiling Wang (2025), Samu Koskinen (2025), and Fatemeh Shokollahi Yancheshmeh (2024), with alumni placed at Aalto University, Ericsson AB, and Huawei. His group receives funding from the Academy of Finland, EU Horizon 2020, Business Finland, Huawei, and Nokia Technologies. The Vision Group operates from Tampere University's Hervanta Campus, maintaining close ties with industrial partners through applied research projects.

• Developmental Dyslexia
• Bilingualism
• Cognitive Science
• +7 more

Dr Barbara Piotrowska is a Lecturer at the School of Applied Sciences , Edinburgh Napier University, with a focus on developmental dyslexia, bilingualism, and cognitive science. Her research explores visual-spatial-motor integration, sensorimotor theory, and early identification tools for dyslexia, often intersecting with artificial intelligence and health themes. Education: PhD in Developmental Dyslexia (2018), Edinburgh Napier University. Her work investigates how sensory, motor, and socio-economic factors influence learning disorders, particularly dyslexia, and extends into decision-making rationality in bilingual individuals. Recent outputs include public health studies on emergency healthcare access and pandemic impacts. Her research trends highlight interdisciplinary approaches combining educational psychology , visual cognition , and technology-driven screening tools , with a shift toward broader health and policy implications in 2024. As a supervisor, she guided Fiona Thomson (2021) in a study of teacher risk judgments for dyslexia identification. She collaborates with the Psychology Research Group and Centre for Mind and Creativity Research , contributing to projects on sensorimotor theory and digital health interventions.

• experimental psychology
• sports psychology

Aaron Horvath is an Assistant Professor in the Department of General Psychology and Methodology at the Faculty of Humanities, Károli Gáspár Reformed University. He completed his PhD in Psychology at Eötvös Loránd University in 2022 with a dissertation on "Psychological Aspects of Proprioceptive Accuracy," and holds an MA in Psychology from the same institution (2018). In 2024, he also obtained a sports psychology specialist qualification from ELTE/TF. His research focuses on experimental psychology and sports psychology, particularly investigating proprioception, interoception, and their relationship to motor performance and body awareness. He is an active member of the György Ádám psychophysiology research group and the Bodily sensations and emotions research group. Horvath's publication record shows consistent productivity from 2018-2025, with a particularly strong output in recent years. His work primarily examines how psychological factors influence sensory perception and motor control, with applications in sports performance and clinical settings. The research demonstrates methodological sophistication through multichannel investigations of proprioceptive processes. Tamás Roska Scientific Presentation Award (OTDT, 2021) Horvath supervises doctoral students, including Gabriella Szegleti who is researching "The role of cognitive mechanisms in changes in resilience potential in young people with ADHD." He also serves on doctoral defense committees, most recently for Sámuel Varga's dissertation at BME in 2024. Internationally, he participated in Erasmus+ guest teaching at Johannes Gutenberg University Mainz in June 2024. He is actively involved in research groups focusing on psychophysiology and the relationship between bodily sensations and emotions, contributing to our understanding of how physical and psychological processes interact in human experience.

Alex Cayco GajicView profile

Assistant Professor

• Cognitive Neuroscience
• Cerebellum
• Motor Control
• +7 more

Alex Cayco Gajic is a Junior Professor and Principal Investigator in the Department of Cognitive Studies at École Normale Supérieure (ENS), part of PSL University in Paris. She leads a research team within the Group for Neural Theory (GNT), which is embedded in the Laboratoire de Neurosciences Cognitives et Computationelles. Her work sits at the intersection of machine learning, mathematical modeling, and systems neuroscience, with a particular focus on understanding how neural populations represent behavior and change over learning. Dr. Cayco Gajic received her Ph.D. in Applied Mathematics from the University of Washington in 2015, where she worked under Eric Shea-Brown, followed by a postdoctoral fellowship in Angus Silver's lab at University College London. She established her independent laboratory at ENS in 2019, integrating her mathematical training with experimental neuroscience to study cerebellar function and neural dynamics during learning. Her research interests span computational neuroscience, cerebellar function, neural coding, dimensionality reduction techniques, reinforcement learning, and dynamical systems. Dr. Cayco Gajic aims to identify fundamental principles of how task-relevant neural dynamics emerge over learning, particularly focusing on the cerebellum but also exploring its interactions with the motor cortex and basal ganglia during motor and cognitive learning. Her recent publications reveal a strong trend toward developing novel dimensionality reduction methods for analyzing large-scale neural recordings, with particular emphasis on understanding how neural representations evolve during learning. Her work bridges theoretical modeling with experimental neuroscience, often collaborating closely with experimental teams to validate computational approaches with real neural data, as evidenced by her development of slice tensor component analysis (sliceTCA) for identifying multiple classes of covariability in neural data. Dr. Cayco Gajic currently supervises several PhD students in her lab, including Helen Todd (working on cerebellar interneuron synchronization), Leonardo Agueci, Mattia Della Vecchia, and Hugo Ninou. Her team is actively working on understanding how interacting circuits in the brain control behavior, with particular focus on the cerebellum's role in both motor and cognitive functions. She maintains affiliations with multiple research centers including the ENS Quantitative Biology Centre and the Paris Artificial Intelligence Research Institute, reflecting the interdisciplinary nature of her work that spans neuroscience, mathematics, and artificial intelligence.

Pierre KlinteforsView profile

Researcher

• Cognitive Science
• Computational Neuroscience
• Robotics
• +4 more

Pierre Klintefors is a Researcher at the Department of Philosophy, Lund University, affiliated with the Joint Faculties of Humanities and Theology. His work bridges theoretical neuroscience, cognitive science, and robotics. Room: LUX:B476 Visiting Address: Helgonavägen 3, Lund Email: pierre.klintefors@lucs.lu.se Research Focus: Pierre investigates computational aspects of the body schema —an agent’s internal representation of its body. He employs frameworks like predictive processing and active inference , which hypothesize that the brain minimizes sensory prediction errors via hierarchical Bayesian inference. His models are implemented on humanoid platforms to explore embodied robotics and theoretical neuroscience . Publications: His work spans robotics , Bayesian statistics in psychology, and pattern processing in social cognition. Current projects include his dissertation on Action-Oriented Body Perception (2023–2027), and participation in public robotics events like Robotveckan 2024 . Contact: Mobile: +46 70 942 84 58 | Postal Address: Box 192, 221 00 Lund | Internal Post Code: 30

Jan DrugowitschView profile

Associate Professor

• Computational Neuroscience
• Cognitive Neuroscience
• Neural Networks
• +6 more

Jan Drugowitsch is an Associate Professor at Harvard Medical School's Department of Neurobiology, focusing on computational neuroscience and neural implementation of reasoning under uncertainty . His lab explores how the nervous system processes ambiguous information through decision-making and navigation studies. Harvard Medical School affiliation Member of academic networks in neurobiology and cognitive science Research interests include neural network dynamics , Bayesian inference , and cognitive modeling of uncertainty. His work combines machine learning , physics , and neuroscience to develop theories of neural information processing. Recent trends in his publications emphasize reinforcement learning , heterogeneous neural tuning , and navigation under uncertainty using closed-loop collaborations with experimentalists. Key sub-fields include hippocampal spatial tuning , distributional reinforcement learning , and neural population dynamics . His lab, located in the Boston Longwood Medical Area, maintains affiliations with both MIT and Harvard Cambridge campus researchers. The theoretical focus is complemented by NIH funding acknowledgments in his social media activity.

• Chronic Pain Management
• Clinical Psychology
• Occupational Health
• +3 more

Professor Michael Nicholas is a Clinical Psychologist with over 40 years of experience in chronic pain research and management. He holds a conjoint Professor position at the Pain Management Research Institute within the Northern Clinical School, University of Sydney , and directs multidisciplinary pain management programs at the MJC Pain Management & Research Centre , Royal North Shore Hospital. He established the first Multidisciplinary Back Pain Program at Westmead Hospital (1988) and developed the globally used Pain Self-Efficacy Questionnaire (PSEQ) . With a PhD from the University of Otago (1988) and an MSc(Hons), he has held leadership roles at St Thomas's Hospital (London), University of NSW (1991), and since 1994 at University of Sydney. PhD, University of Otago MPsychol (Clin) MSc(Hons), University of Sydney His research focuses on psychosocial contributors to chronic pain , early intervention protocols, and workplace disability prevention. He co-developed the Örebro Musculoskeletal Pain Screening Questionnaire with Sweden's Steve Linton, influencing WHO's ICD-11 pain classification. His work on the WISE study (2013–2022) demonstrated cost-effective interventions for injured workers, adopted by NSW Health. Recent publications (2020–2024) emphasize telehealth pain care , cross-cultural pain assessment tools , and workplace pain management . His 15 most recent articles address low back pain interventions, predictive modeling, and economic analyses of multidisciplinary programs. IASP John D Loeser Lifetime Achievement Prize (2022) Honorary Doctorate, Örebro University (2015) Australia's Research Field Leader for Pain (2020–2023) NSW Agency for Clinical Innovation Pain Network Co-Chair (2016–2022) He has trained over 400 ADAPT Pain Management Programs since 1994 and leads the internationally recognized online Masters Degree in Pain Management at University of Sydney. His work extends to opioid deprescribing , rehabilitation psychology , and low-resource setting adaptations . As Associate Editor for PAIN , Journal of Occupational Rehabilitation , and Scandinavian Journal of Pain , he shapes global pain scholarship. His grants exceed $12 million, including $4 million in recent years for rural pain training and CALD community programs.