جست‌وجوی استاد و پژوهشگر

Gregor Hardiessمشاهده پروفایل

مدرس ارشد

• Cognitive Neuroscience
• Working Memory
• Spatial Cognition
• +۵ مورد دیگر

PD Dr. Gregor Hardiess is a Senior Lecturer in Cognitive Neuroscience at the Faculty of Biology, University of Tübingen. His research explores the interplay between gaze behavior, working memory, and spatial cognition, with a focus on both healthy subjects and visually impaired patients. Supervises student theses (PhD, Master, Bachelor) in Visual Cognition, Spatial Cognition, and Neurobiology Conducts practical courses and seminars on topics like Visual Cognition, Spatial Cognition, and Working Memory His work investigates how eye and head movements support cognitive processes, particularly in dynamic environments. He studies trade-offs between sensory acquisition and memory usage, spatial working memory metrics, and compensation strategies for visual field defects in navigation tasks. Key publication themes include gaze control in collision avoidance, cross-modal integration in working memory, and language's role in spatial cognition. He has contributed to journals such as Journal of Vision , Vision Research , and Frontiers in Psychology , with a focus on experimental methodologies in virtual reality. Hardiess also engages in interdisciplinary collaborations, delivering invited talks on topics like gaze adaptation, visual exploration in hemianopic patients, and cognitive strategies in spatial tasks.

Rasmus Brucknerمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• Decision Making
• Learning under Uncertainty
• +۳ مورد دیگر

Dr. Rasmus Bruckner is a Group Leader and Researcher at the Neurocognitive and Experimental Psychology Department, Freie Universität Berlin, and a Post-doctoral researcher at the University of Hamburg. He co-leads the DFG Research Unit 5389 since 2024. His research focuses on computational models of learning and decision-making under uncertainty, leveraging behavioral and neuroimaging experiments to uncover neural and cognitive mechanisms. Key areas include lifespan learning differences, resource-rational computations, and uncertainty bias effects. Education: PhD, Psychology (Summa cum Laude), Freie Universität Berlin (2015–2020), advised by Hauke Heekeren M.Sc. Psychology, Humboldt University Berlin (2012–2015) B.Sc. Psychology, Radboud University Nijmegen (2008–2011) Research Interests: Computational neuroscience, decision-making under uncertainty, neuroimaging, lifespan learning dynamics, and adaptive learning mechanisms. Recent Article Trends: Recent work emphasizes uncertainty quantification, lifespan learning differences, and neural correlates of prediction errors. For example, his 2025 Psychological Review paper demonstrates lifespan learning differences via resource-rational models, while 2024 studies explore uncertainty-weighted prediction errors and adaptive integration of reward/perceptual signals. Grants & Awards: Co-PI in DFG Research Unit 5389 (since 2024). No named awards listed. Labs & Teams: Leads the Learning Lab at FU Berlin, focusing on simulation-based learning and neural mechanisms of decision-making. Collaborates with institutions like the Max Planck Institute for Human Development and the International Max Planck Research School LIFE.

Sam Berensمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Learning Systems
• Memory Encoding
• +۴ مورد دیگر

Sam Berens is an Assistant Professor in Psychology at the University of Sussex. He holds a PhD from the University of Sussex (2015), an MSc from Sussex (2012), and a BSc from Keele University. His research investigates the neuroscience of learning and memory, with particular focus on pattern learning, spatial navigation, and forgetting mechanisms. Research examines: Neural basis of spatial memory formation Mechanisms of pattern generalization Forgetting dynamics and memory precision Vocabulary acquisition processes Neuropharmacology of memory systems His publications demonstrate consistent use of fMRI methodologies to study memory systems, with recent work examining APOE genotype effects on cognition and targeted memory reactivation during sleep. Awarded the BPS Cognitive Section Annual Award (2021) for research on memory accessibility and precision in forgetting. Teaching includes Ethics and History of Psychology (MSc module), with drop-in hours available. Supervises student research through departmental honors and accelerated master's programs.

Camillo Padoa-Schioppaمشاهده پروفایل

استاد

• Neuroeconomics
• Cognitive Neuroscience
• Neuronal Mechanisms of Decision-Making
• +۳ مورد دیگر

Camillo Padoa-Schioppa is a Professor of Neuroscience at Washington University School of Medicine, specializing in the neural mechanisms of economic decision-making. His work integrates behavioral, neurophysiological, and computational approaches, focusing on single-neuron recordings in non-human primates. He investigates how values are represented in the brain, particularly in the orbitofrontal cortex (OFC), and how these representations influence choices. Education: PhD in Brain and Cognitive Sciences, MIT (2002) Laurea (MS) in Statistical Physics, Università La Sapienza, Rome (1996) Postdoctoral training in Neurobiology at Harvard Medical School (2008) Research Interests: His work bridges neuroscience and economics, exploring how the brain encodes subjective values, the role of OFC in preference formation, and neural adaptations in decision-making. Key topics include menu invariance, neuronal remapping, and circuit-level mechanisms underlying economic choices. Key Contributions: Discovered that OFC neurons encode subjective value invariant to context, demonstrated causal links between OFC activity and choices, and advanced neuroeconomic models of decision variability. His lab uses cutting-edge techniques like optogenetics and computational modeling. Awards: 2011 Society for Neuroeconomics Young Investigator Award 2015 Washington University Distinguished Faculty Award National Institute of Mental Health Pathway to Independence Award (2007-2011) Lab & Collaborations: The Padoa-Schioppa Lab focuses on primate models and translational research, collaborating with institutions worldwide. Current projects address neuronal circuit dynamics and applications to neurological disorders like addiction and frontal lobe injuries.

• Deception Detection
• Forensic Psychology
• Cognitive Psychology
• +۳ مورد دیگر

Dr. Lara Warmelink is a Senior Lecturer in the Department of Psychology at Lancaster University, affiliated with Security Lancaster. Her research focuses on deception detection, particularly analyzing verbal and non-verbal cues in lies about intentions. She employs diverse methodologies to explore decision-making processes and deceptive behavior across populations such as autistic adults and older adults vulnerable to digital scams. Education: BSc Psychology (Leiden University, 2007), MPhil Cognitive Neuroscience (Leiden University, 2009), PhD Psychology (University of Portsmouth, 2012) on 'Lying about Intentions.' Key affiliations include the Cyber Security Research Centre and Security Lancaster’s Behavioral Science group. Current research projects address QR code fraud, deception in autistic adults, and digital technology vulnerabilities among older adults. Supervises four PhD students focusing on social processes and deception-related topics. Her work integrates cognitive psychology, forensic science, and technology to advance understanding of deceptive communication and its societal implications.

Liberty Hamiltonمشاهده پروفایل

استادیار

• Speech Perception
• Neural Processing
• Developmental Neuroscience
• +۳ مورد دیگر

Dr. Liberty Hamilton is an Assistant Professor at the University of Texas at Austin, holding joint appointments in the Department of Communication Sciences and Disorders (Moody College of Communication) and the Department of Neurology (Dell Medical School). She earned her Ph.D. in Neuroscience from the University of California, Berkeley. Her research focuses on understanding how the brain processes speech sounds, particularly during development and in clinical populations with epilepsy. Using invasive electrophysiological techniques (ECoG/sEEG) and noninvasive EEG, her lab studies speech perception, production, and neural plasticity in children and adults. Key research themes include: 1) Mapping neural representations of speech in the auditory cortex; 2) Investigating speech processing changes during development; 3) Developing clinical interventions for communication disorders. Collaborations involve Dell Children’s Comprehensive Epilepsy Center and Texas Children’s Hospital. Her work has been funded by NIH, Department of Defense, and the Coleman Fung Foundation. Notable awards include the Ellen A. Wartella Distinguished Research Award (2023) and Kavli Fellowship (2022). She mentors a multidisciplinary team of graduate students and postdocs, with current projects on auditory attention, speech decoding models, and neuroplasticity interventions. Publications emphasize naturalistic stimuli analysis, EEG/ECoG encoding models, and clinical translation of neuroscientific findings. Her lab is relocating to UC Berkeley in 2025 but continues active research at UT Austin until then.

George Pollakمشاهده پروفایل

استاد

• Auditory Neuroscience
• Sensory Processing
• Neurophysiology
• +۳ مورد دیگر

George Pollak is a Professor at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Center for Perceptual Systems. His research focuses on understanding how the mammalian auditory system processes species-specific communication signals and spatial cues, using echolocating bats as experimental subjects. Pollak investigates neural mechanisms underlying sound localization and decoding of social signals through electrophysiological recordings and pharmacological interventions. Education: Ph.D. in Neuroscience, University of Maryland. Research Interests: Auditory neuroscience, neural circuitry in sound processing, and the role of inhibitory pathways in shaping auditory responses. His work combines neurophysiological techniques to dissect how neurons encode acoustic features critical for communication and spatial awareness. The use of bats as a model highlights their advanced auditory systems, offering insights into mammalian sensory processing. Affiliations: Center for Perceptual Systems at UT Austin. No awards or grants are explicitly mentioned in the provided texts.

Kaz Brandtمشاهده پروفایل

دانشیار

• Memory
• Ageing
• Mental Health
• +۴ مورد دیگر

Kaz Brandt is an Associate Professor in the School of Psychology at the University of Roehampton, affiliated with the Centre for Research in Psychological Wellbeing. She holds qualifications including a PhD from the University of Bristol and is a Chartered Psychologist and Senior Fellow of the Higher Education Academy. Her research focuses on memory processes, aging, mental health, and neuropsychological interventions. Education: PhD in Psychology (Bristol University), MA in Psychology (St Andrews University), Postgraduate Certificate in Teaching and Learning (University of Keele), and a Senior Fellowship from the Higher Education Academy. Professional roles include Deputy Chair of the British Psychological Society Research Board and External Examiner for Leeds University's MSc in Cognitive Development and Disorders. Research Interests: Her work explores cognitive interventions for memory improvement in older adults (e.g., tDCS studies), mental health outcomes of dietary choices (vegan/vegetarian populations), and neurobiological effects of cannabis/tobacco use. Recently funded projects include a British Academy grant for tDCS-based memory enhancement and NIHR-funded mental health interventions. Awards: Recognitions include Associate Fellowships from the British Psychological Society and British Neuropsychological Society, plus multiple grant awards from UKRI, NIHR, and the British Academy. Key contributions include neuroimaging studies of substance abuse and pioneering puzzle therapy for dementia patients. Supervision & Grants: Active in supervising PhD students and leading interdisciplinary projects. Notable collaborations involve studies on hyperthermia's cognitive effects and dietary identity's mental health impacts. She has presented at over 30 academic conferences and published extensively in journals like Neuroscience & Biobehavioral Reviews and Counselling and Psychotherapy Research . Labs/Teams: Coordinates research teams focused on aging populations, cognitive neuroscience, and neuropsychopharmacology. Current initiatives include exploring the mnemonic time-travel effect and developing cognitive tools for mental wellness.

Kelsey Mankelمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Auditory Perception
• Neuroplasticity
• +۴ مورد دیگر

Kelsey Mankel, Ph.D., is an Assistant Professor in the School of Communication Sciences and Disorders and the Institute for Intelligent Systems at the University of Memphis. She joined the faculty in 2023. Her research focuses on the cognitive neuroscience of hearing, particularly how the brain processes complex sounds like speech and music using EEG and eye-tracking. She examines the influence of music training, learning, noise exposure, and individual differences on auditory perception and neuroplasticity. Dr. Mankel directs the Cognitive Neuroscience of Hearing Lab (CNHL), emphasizing both basic science and clinical applications. Dr. Mankel holds a B.S. in Neuroscience, Psychology, and Music from Central Michigan University and a Ph.D. from the University of Memphis. Her work bridges auditory perception, cognitive neuroscience, and clinical audiology, exploring how neuroplasticity shapes hearing and communication. Her recent research highlights trends in auditory neuroscience, including neural mechanisms underlying speech-in-noise processing, the role of visual cues in cochlear implant users, and the interplay between musical skills and speech encoding. Articles frequently address neuroplasticity, EEG methodologies, and individual differences in auditory processing. Dr. Mankel has no listed scientific awards but is actively involved in grants and advising. Her lab, CNHL, focuses on translational research to improve auditory rehabilitation and understanding of hearing disorders. Future work may expand into multisensory integration and neurorehabilitation strategies.

Andrew M Wikenheiserمشاهده پروفایل

استادیار

• Neuroscience
• Cognitive Neuroscience
• Decision-Making
• +۴ مورد دیگر

Andrew M Wikenheiser is an Assistant Professor in the Department of Psychology at the University of California, Los Angeles (UCLA), affiliated with the College of Letters and Science. His work bridges neuroscience, psychology, and decision-making science through experimental and computational approaches. Academic Appointments: Psychology Faculty, UCLA Research Focus: Dr. Wikenheiser investigates neural mechanisms underlying decision-making, reward processing, and cognitive mapping. His studies explore how brain structures like the orbitofrontal cortex, hippocampus, and striatum encode value, task structure, and environmental uncertainty. He employs rodent models to study foraging behavior, temporal cognition, and cocaine-induced neural adaptations. Recent Trends: His 2025 publications highlight innovations in chronic neural implants (Neuropixels) and sex differences in reward-based decisions. Earlier works examine theta oscillations, striatal cell-type specificity, and hippocampal sequence dynamics in relation to cognitive maps and decision-making. Collaborations: Regular co-authors include Alicia Izquierdo (UCLA), Kate Wassum (UCLA), and Anne Churchland (UCLA). His work intersects with computational psychiatry and addiction neuroscience.

Laurent Dekydtspotterمشاهده پروفایل

استاد

• Second Language Acquisition
• Psycholinguistics
• Syntax-Semantics Interface
• +۴ مورد دیگر

Laurent Dekydtspotter serves as Professor and Chair of Second Language Studies at Indiana University Bloomington's College of Arts and Sciences, with additional appointments in French and Italian, Linguistics, and Germanic Studies. His leadership spans departmental administration and cross-disciplinary research initiatives focused on neural mechanisms in language acquisition. His academic foundation includes a Ph.D. in Linguistics from Cornell University (1995), an M.A. in TESOL/Linguistics from Washington State University (1989), and English degrees from Université Catholique de l'Ouest (M.A. 1987, B.A. 1985). Dekydtspotter's research pioneers the development of interpretive knowledge in L2 learners, examining how phrasal semantics, lexical semantics, and pragmatic inferences interact during sentence processing. His groundbreaking work demonstrates that second language learners engage in deep structural processing —contradicting theories of superficial lexical/contextual reliance—through meticulous experiments on context-syntactic integration in French acquisition. Current investigations leverage gamma oscillation analysis to map neural operational workspaces for syntax across L1/L2 processing. Analysis of his 15 most recent publications reveals an evolutionary trajectory from syntactic processing studies toward integrated neurolinguistic frameworks, consistently emphasizing a unified epistemology for native and nonnative language comprehension. This progression highlights methodological sophistication through time-frequency analyses of wh-movement, anaphora resolution, and agreement phenomena. His scholarly recognition includes: Teaching Excellence Recognition Award (TERA), 1999 Dekydtspotter actively mentors graduate researchers through co-authored publications while securing research support for his neurocognitive investigations. His teaching portfolio spans advanced French syntax, semantics, and pedagogy courses including Introduction to French Semantics and Topics in French Acquisition. Departmental leadership as Chair positions him at the forefront of shaping second language studies curricula and research directions. Through the Early African Cinemas Lab and cross-departmental collaborations, he contributes to IU's linguistic research ecosystem while advancing theoretical models of language faculty development through parsing-to-learn acquisition frameworks.

• Forensic Psychology
• Facial Recognition
• Developmental Prosopagnosia
• +۵ مورد دیگر

Dr. Emma Portch is a Senior Lecturer in Psychology at Bournemouth University, specializing in forensic and cognitive psychology. She holds a BSc from Royal Holloway, University of London (2010), an MSc in Forensic Psychology from the University of Portsmouth (2011), and a PhD in Cognitive Psychology from the University of Leeds (2016). Her research focuses on facial recognition mechanisms, forensic facial composite construction, and developmental prosopagnosia. She has contributed to projects investigating the impact of verbal descriptions, cognitive interviewing, and socio-cultural factors on facial identification accuracy. Her work bridges neuropsychological and forensic applications, including studies on 'super-recognizers' and the effects of face masks on recognition. She advises PhD students like Amy Purcell and Claire Ford. Notable projects include grants exploring EvoFIT composite construction and collaborations with police investigators. She has presented at international conferences on topics ranging from emotion perception to pandemic mental health impacts. Her outreach activities include BBC and The Conversation contributions discussing facial recognition challenges in law enforcement. Professional roles include journal peer reviewing (e.g., Quarterly Journal of Experimental Psychology ), internal ethics panel membership, and coordinating external research seminars. She teaches courses in forensic psychology, cultural psychology, and human-computer interaction.

• Cognitive Neuroscience
• Visual Recognition
• Face Perception
• +۶ مورد دیگر

Frédéric Gosselin is a Full Professor at the Université de Montréal's Department of Psychology, Faculty of Arts and Sciences. His research focuses on visual recognition mechanisms, particularly using the Bubbles method to analyze face and object perception. He co-directs CerebrUM and is a member of multiple research groups like CERNEC and CIRCA. His work spans spatial frequency tuning, cognitive neuroscience, and machine learning applications in visual processing. Affiliations: CerebrUM, CERNEC, RRSV, GRSV, CIRCA Teaching: Courses on laboratory methods (PSY-2007) across Psychology, Cognitive Neuroscience, and Laval Campus programs. Research Interests: Innovating the Bubbles method to study visual information use in faces/objects, combining EEG/fMRI with machine learning. Explores individual differences in perception, autism spectrum disorder, and super-recognizer abilities. Recent projects include decoding visual recognition abilities and integrating neuroscience with AI through UNIQUE. Grants & Leadership: Principal investigator in projects like 'UNIQUE' (neuroscience-AI integration) and 'The use of facial information from developmental prosopagnosics to superrecognizers'. Secured funding from NSERC, FRQNT, and Apogée Canada. Students: Supervised over 20 theses, including works on neural correlates of perception, spatial frequency use in autism, and visual metamers generation. Labs/Teams: Active in interdisciplinary groups like CERNEC and UNIQUE, focusing on computational models of visual processing and neuroimaging techniques.

• Video Coding
• Energy Efficiency
• HEVC
• +۴ مورد دیگر

Christian Herglotz is a researcher affiliated with the University of Erlangen-Nuremberg , Germany. His work focuses on energy efficiency in video coding and decoding systems, with a particular emphasis on HEVC and VVC standards. He has published extensively in IEEE journals and conferences like ICIP, ICASSP, and QoMEX, often collaborating with André Kaup and Matthias Kränzler. Key research themes: energy-aware video compression, decoding power optimization, rate-energy-distortion modeling. Co-edited special sections on deep learning-based video coding. Recent Publications (2022-2025): Explored power reduction in HDR video encoding, motion prediction for 360-degree video, and heterogeneous quantization for DNN accelerators. His studies integrate machine learning with traditional codec design to improve energy efficiency. Technical Contributions: Developed models for decoding energy estimation, analyzed carbon impact of streaming devices, and proposed methods for viewport-adaptive motion compensation. Collaborative work spans thermal imaging for power analysis and reliability-aware DNN hardware optimization.

Timothy Tzen Vun Yapمشاهده پروفایل

استادیار

• System Identification
• Blockchain Technology
• Data Engineering
• +۳ مورد دیگر

Dr. Timothy Tzen Vun Yap is an Assistant Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University Malaysia. Previously, he served as Senior Lecturer and Chair of the Center for Big Data and Blockchain Technologies at Multimedia University. He holds a PhD in Engineering from Multimedia University's System Identification and Control Group. His research focuses on blockchain technology, machine learning, data engineering, and system identification, with emphasis on consensus mechanisms, Sybil resistance in blockchain networks, and sentiment/aspect modeling. His research interests span technical domains including spyware detection, network security, educational data mining, and cryptocurrency efficiency. Notable contributions include advancements in Bitcoin block propagation, dataset curation for malware classification, and machine learning applications in intrusion detection systems. He has also explored the intersection of machine learning and healthcare, such as predictive modeling for breast cancer risk factors. His publications reflect a trend toward interdisciplinary solutions, blending cybersecurity with machine learning and applying data science to societal challenges like tourism and education. Collaborations often target practical implementations of theoretical models, such as optimizing blockchain protocols or improving real-time network traffic analysis. Though no formal awards are listed, his prolific output (59+ research outputs) and diverse collaborations underscore his active role in academic and applied research. His work contributes to UN Sustainable Development Goals through technological solutions addressing education equity, healthcare accessibility, and secure digital infrastructure.