Brian Roberts is a Professor at Aston University's School of Psychology within the College of Health and Life Sciences. His primary research focuses on auditory perception, particularly auditory scene analysis and speech perception. He holds a PhD in Experimental Psychology (Auditory Perception) from the University of Cambridge (1989) and has held academic positions at the University of Birmingham (1993-2001) and Aston University since 2005. His work explores perceptual grouping mechanisms, cochlear implant listening, and the neural bases of auditory phenomena. Affiliations: Cognition & Neuroscience Research Group (CNRG), Centre for Vision and Hearing Research Employment History: Reader at University of Birmingham (2001), Senior Lecturer (1999), Lecturer (1993) Research interests include auditory stream segregation, formant analysis, and the effects of stimulus properties on perceptual organization. He has collaborated internationally, including visiting appointments at Macquarie University (2019) and the University of British Columbia (2011). Notable achievements include being elected a Fellow of the Acoustical Society of America (2009). Recent publications investigate factors influencing stream segregation (2024), asymmetric timbre effects (2023), and lexical bias in consonant identification (2022). Current projects explore sudden changes in auditory stimuli and their impact on perceptual grouping. Grants & Funding: Extensive research grants supporting auditory perception studies (details not explicitly listed) Supervised Work: 4 documented supervisees, though names not provided Labs/Teams: Active in the Auditory Perception Laboratory at Aston University, focusing on psychophysical and computational modeling approaches.
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Professor Guy Brown is Chair of Computer Science at the University of Sheffield's School of Computer Science. He holds a BSc in Applied Science (1984), PhD in Computer Science (1992), and MEd in Teaching and Learning (1997). His research focuses on Computational Auditory Scene Analysis (CASA), noise-robust speech recognition, auditory modeling, and binaural processing. Research interests include: Machine hearing systems for sound source separation Reverberation-robust speech processing Auditory scene analysis models for normal/impaired hearing Applications in robotics and healthcare technologies Publication trends show recent focus on deep learning approaches for biomedical applications including sleep apnea detection, respiratory sound analysis, and multimodal health monitoring systems using neural networks. Honors include: University Senate Award for Excellence in Teaching (2014) Microsoft Software Engineering Innovation Award (2013) He leads doctoral supervision for 15+ students and has secured research funding from EPSRC, Innovate UK, EU FP7, and AHRC. Manages the Speech and Hearing research group and has held visiting positions at international institutions including LIMSI-CNRS and ATR Japan.
Professor Jon Barker is a faculty member at the University of Sheffield , where he holds a Personal Chair in the School of Computer Science . He leads the Speech and Hearing (SpandH) research group and co-founded the CHiME international workshop series on robust speech recognition. Education : PhD in Computer Science (University of Sheffield, 1999); BA in Electrical and Information Sciences (Cambridge University). Research Focus : His work bridges machine listening and human auditory perception , with key contributions to noise-robust speech recognition , speech intelligibility prediction , and hearing aid signal processing for speech and music. Recent projects include the Clarity Challenges and Cadenza Challenges , large-scale machine learning initiatives to improve accessibility for hearing-impaired users. Publication Trends : Recent articles emphasize machine learning for hearing aid optimization , dysarthric speech recognition , audio-visual integration , and music demixing algorithms . Collaborations span speech processing, psychoacoustics, and biomedical engineering. Scientific Awards : EURASIP Best Paper Award (2009) ISCA Best Paper Award (2008) Grants and Leadership : He has secured major EPSRC grants including EnhanceMusic (2022-2026) and Challenges to Revolutionise Hearing Device Processing (2019-2025). He co-led the TAPAS Marie Curie Training Network (2017-2022) and led projects like AV-COGHEAR (2015-2018) and CHiME (2009-2012). Labs and Teams : Barker collaborates closely with the Speech and Hearing Research Group and contributes to international initiatives like the CHiME Workshop . His lab develops open datasets such as the Clarity Speech Corpus and Audio-Visual Lombard Corpus .
Peter Jachimiakمشاهده پروفایل
مدرس ارشد
Peter Jachimiak is a Senior Lecturer in Culture and Media at the University of South Wales, affiliated with the Faculty of Business and Creative Industries. His research focuses on post-1945 cultural analysis, particularly the interplay between mediatized cultures and youth subcultures. He holds a PhD in Sociology from 2002, focusing on 'Middle management and the enactment of masculinity.' Research Interests: Post-1945 popular culture Popular music since 1960 Youth subcultures (especially Mod Revival movements) Cultural memory and mediatization Music industry and fan culture His work spans academic publishing, music journalism, and cultural documentation. Notable projects include the Welsh Mod - Our Story book, Palgrave Studies in Subcultures series contributions, and editorship of Subbaculture fanzine. He collaborates with musicians, photographers, and journalists, and his research often intersects with music retail spaces, urban cultural landscapes, and regional identity formations. Key Projects: Edited volumes on Mod Revival (1977-1989) and Welsh cultural identity Contributions to Detail Magazine and Infenzo Records ORCID: 0009-0000-6902-7170 His articles explore topics like Japanese mod subculture migration patterns, the role of record store listening booths, and the cultural geography of post-war youth movements. He is part of the Creative Industries Research and Innovation Group at the university.
Professor Andrew Bayliss is a Professor in Psychology at the University of East Anglia's School of Psychology, where he serves as Social Cognition Research Group Lead and UEA UOA4 Psychology REF coordinator. He joined UEA in 2011 after completing his PhD at Bangor University and holding postdoctoral fellowships with the ESRC, Leverhulme Trust, and University of Queensland. Undergraduate Degree: Bangor University PhD: Bangor University Postdoctoral Fellowships: ESRC, Leverhulme Trust, University of Queensland His research spans social cognition, attention-action interactions, and individual differences, with specific focus on face perception, eye gaze processing, and objects in social contexts. Utilizing methodologies including eye tracking, motion capture, EEG, and fMRI, his work examines how social cues guide attention and influence behavior. Current projects investigate gaze understanding development, interpersonal agency, and autism interventions using natural scenes. Analysis of his recent publications reveals a strong emphasis on social attention mechanisms, particularly gaze leading phenomena, interpersonal distance effects, and neural correlates of shared attention. His work increasingly integrates autism research with social cognition paradigms while maintaining core investigations into attentional orienting and agency perception. Bayliss actively contributes to the academic community through editorial roles at Psychological Review and Psychonomic Bulletin and Review, peer review activities, and consultancy work including the Social Neuroscience of Cinema Attendance project. He maintains international collaborations, notably with Paris Nanterre University. As Social Cognition Research Group Lead, he oversees a dynamic team investigating the neural and cognitive mechanisms underlying social interactions. His lab employs multimodal approaches to study real-time social processing, with recent work expanding into human-robot interaction and pandemic-related social adaptations.
Benjamin Willmore serves as a Departmental Lecturer at the University of Oxford, affiliated with the King Group within the Department of Physiology, Anatomy and Genetics (DPAG) and St Peter's College. His research investigates neural representation and processing of sensory information under naturalistic conditions, utilizing electrophysiological recordings and computational modeling to decode auditory and visual system mechanisms. His academic background includes: PhD in Computational Neuroscience from the University of Cambridge supervised by David Tolhurst MSc and MA degrees from the University of Cambridge (Cantab) Willmore's research spans sensory neuroscience with primary focus on auditory processing, examining how neurons encode complex sounds through electrophysiological measurements and model-based analysis. His work explores neural adaptation to reverberation, subcortical contributions to cortical sound encoding, and cross-modal principles in visual motion processing. This integrative approach bridges experimental neurophysiology with theoretical frameworks to understand sensory computation in natural environments. Analysis of his 2020-2024 publications reveals consistent emphasis on auditory neuroscience, particularly nonlinear sound encoding mechanisms and adaptive processing in cortical/subcortical circuits. His work demonstrates methodological integration of in vivo electrophysiology, computational modeling, and behavioral paradigms across auditory and visual domains, highlighting interdisciplinary innovation in sensory systems neuroscience. Scientific Awards: No awards mentioned in source materials Willmore actively contributes to Oxford's academic mission through lecturing for the MSc in Neuroscience and BA in Biomedical Sciences programs, while providing specialized tutorials on sensory neuroscience and neural coding to second- and third-year medical students. His teaching integrates cutting-edge research concepts into core neuroscience curricula, though specific grant funding details remain unreported in available sources. He operates within the King Group, a leading neuroscience research team investigating neural circuit mechanisms of sensory perception using multidisciplinary approaches including in vivo electrophysiology, imaging, and computational analysis. The group focuses on how auditory, visual, and multisensory information is processed in behaving systems, with Willmore contributing expertise in computational modeling of naturalistic sensory encoding.
Ediz Sohogluمشاهده پروفایل
دانشیار
Dr. Ediz Sohoglu is an Associate Professor in Psychology at the School of Psychology, University of Sussex. He holds a PhD in Cognitive Neuroscience from the University of Cambridge (2013) and has held academic positions at institutions including the University of Cambridge, University College London, and the MRC Institute of Hearing Research. His research focuses on auditory cognition, particularly the neural mechanisms underlying speech perception, perceptual learning, and predictive processing in auditory scenes. Education: BSc Neuroscience, University of Sussex (2003-2006) MSc Music Technology, University of York (2006-2007) PhD Cognitive Neuroscience, University of Cambridge (2009-2013) Research Interests: Dr. Sohoglu explores how expectations, attention, and prior knowledge influence auditory perception. His work combines behavioral experiments with neuroimaging techniques (EEG, MEG, fMRI) to study speech comprehension, perceptual learning of degraded sounds, and neural prediction mechanisms. Key themes include the role of prediction error in speech recognition, cortical encoding of acoustic features, and the integration of sensory input with top-down expectations. Grants & Collaborations: Predicting the future to make sense of the present: Predictive brain mechanisms for speech perception (BIAL Foundation, 2023-2024) Learning to hear again: Brain mechanisms supporting perceptual learning of degraded speech (Academy of Medical Sciences, 2022-2025) Labs & Teams: He leads the Auditory Cognition Group at Sussex, investigating auditory perception and its neural foundations. Collaborations include the MRC Cognition and Brain Sciences Unit (Cambridge) and the Ear Institute (UCL).
Liam Wells is the Course Leader for the BA (Hons) Film and Moving Image Production and an MA Moving Image and Sound Unit Tutor at Middlesex University. His practice-based research investigates non-linear relationships between time, space, and audio-visual works within site-specific contexts. Key themes include hybrid processes, duration, and experimental aesthetics in installations, performances, and webcasts. Education: Pursuing a PhD by Practice at the University of the Arts London (since 2010). His work has been exhibited internationally, including at the Shanghai World Expo Pavilion and screenings across Europe and Australia. Awards include selection for the One Minutes Vol 4 film festival and commissions from the One Minutes Foundation and DEFRA-funded projects. Research Output Highlights: 2011: Presentations at Ravensbourne, NAHEMI Conference, and ADM National Conference 2010: Shanghai World Expo Pavilion installation 2007–2009: Collaborative performances with Prof John Bowers and Alex Sanders Awards and Grants: PhD Scholarship (University of the Arts London) Arts Council East Funding (2004–2005) DEFRA-funded Soil-Net.com Project (2005) Lab/Team Affiliations: Member of the UEA Electro Acoustic Studio Ensemble Cofounder of WebJam international webcast series Contributor to Furtherfield.org online art review platform
- Audio-Visual Arts
- New Media Art
- Installation Art
- +۵ مورد دیگر
Professor David Pearson is a cognitive psychologist at Anglia Ruskin University's School of Psychology, Sport and Sensory Science , where he holds a professorship in Cognition and Cognitive Neuroscience. He leads research within the ARU Centre for Mind and Behaviour and maintains visiting researcher positions at Trieste University (Italy) and University of Bergen (Norway). Education: PhD in Psychology, University of Aberdeen (1997) MA (Hons) in Psychology (1st), University of Edinburgh (1992) Research Focus: Pearson's work centers on three interconnected domains: (1) Mental imagery mechanisms in clinical disorders (particularly trauma-related intrusive memories), (2) Cognitive benefits of natural environments through Attention Restoration Theory, and (3) Visuo-spatial working memory processes including oculomotor control. His research bridges experimental psychology with clinical applications, examining how contextual representations modulate trauma intrusions and how natural scenes reduce cognitive load compared to urban environments. Recent work explores visual creativity, sequence-space synaesthesia, and perceptual specificity in long-term imagery. Publication Trends: His 15 most recent articles reveal increasing interdisciplinary integration between cognitive neuroscience and clinical applications. A clear trajectory emerges from basic visuo-spatial working memory mechanisms toward trauma-focused clinical interventions, with growing emphasis on environmental psychology applications. Key methodological threads include eye-tracking paradigms, analogue trauma models, and ecological validity in experimental design. Professional Recognition: Chartered Psychologist Associate Fellow of the British Psychological Society Member of the Experimental Psychology Society Associate Editor for Frontiers in Psychiatry (Mental Imagery in Clinical Disorders) Research Leadership: Pearson actively supervises PhD candidates in mental imagery, environmental psychology, and visuo-spatial cognition. He has secured over £300,000 in research funding from major bodies including ESRC, Wellcome Trust, and Nuffield Foundation. His current projects examine scene saliency in cognitive restoration and contextual modulation of trauma intrusions, while maintaining long-term collaborations with Oxford, Durham, and Scandinavian institutions. He contributes to professional governance through the BPS Research Board and Membership Standards Board.
Will Baileyمشاهده پروفایل
پژوهشگر ارشد
Dr Will Bailey is an Industry Collaboration Fellow at the University of Salford's School of Science, Engineering & Environment. He holds a PhD in Acoustics and Audio Engineering (2019) and completed postdoctoral research at the Universities of Cambridge and Sheffield, focusing on machine learning for assistive hearing devices. His current work at Salford Acoustic Labs involves commissioned projects across hearing science, sound design, and acoustics innovation. Research interests include applied machine learning (TinyML), human auditory perception, spatial audio technologies, and forensic analysis of animal cruelty cases. He has contributed to international challenges such as the Clarity Prediction Challenge and ICASSP SP Clarity Challenge, advancing speech enhancement and intelligibility prediction for hearing aids. Education: PhD in Acoustics and Audio Engineering (University of Salford, 2019) Postdoctoral Research: University of Cambridge (Machine Learning for Hearing Devices) Postdoctoral Research: University of Sheffield (Assistive Technology) Awarded the Noise Abatement Society John Connell Award (2024) and Best Business Collaboration (Rising Star) at the University of Salford (2024). His work bridges academic research with industry applications, emphasizing collaborative innovation. Associated with the Acoustics Innovation Institute and Salford Acoustic Labs, focusing on applied acoustic solutions for healthcare, urban environments, and immersive technologies.
Professor Lorenzo Picinali is a faculty member at Imperial College London's Dyson School of Design Engineering, specializing in Spatial Acoustics and Immersive Audio. He leads the Audio Experience Design research group, focusing on perceptual and computational aspects of spatial audio, ecoacoustic monitoring, and clinical hearing applications. His academic journey includes roles at Imperial College London since 2015, previously at De Montfort University (2009–2015). He holds a PhD in Music Technology (2010) and degrees in Auditory Science and Music Communication. Research interests span spatial audio rendering, binaural technologies, hearing science, and ecoacoustic monitoring. His work explores applications like VR-based auditory training for cochlear implant users (BEARS project), the SONICOM HRTF dataset for personalized audio, and MAARU devices for ecological soundscapes. Collaborations span industries and universities, with funding from EU and UK research initiatives. Key publications include advancements in HRTF upsampling via GANs, spatial hearing training, and ecoacoustic recording systems. He advises numerous students and oversees projects like PLUGGY for cultural heritage and HELIX for auditory-cognitive training. His labs develop tools like the 3D Tune-In Toolkit and MAARU units, emphasizing practical applications of audio research.
Karla K. Evansمشاهده پروفایل
دانشیار
Karla K. Evans is a Senior Lecturer (Associate Professor) in the Department of Psychology at the University of York. Her academic career spans prestigious institutions including Princeton University, Harvard Medical School, and Brigham and Women's Hospital before joining York in 2013. She serves on the Psychology Department Athena Swan Committee and represents Psychology on the University's Athena Swan working group. Dr. Evans earned her BSc (Hons) in Experimental Psychology from the University of Trieste (1998), followed by an MA (2004) and PhD (2007) in Cognitive Psychology from Princeton University. She completed postdoctoral training at MIT (2007-2008) and Harvard Medical School/Brigham and Women's Hospital (2008-2013). Her research centers on how sensory systems integrate information to produce coherent perception, with expertise in attention, visual cognition, memory, multimodal perception, and medical image perception. She employs diverse methodologies including psychophysics, fMRI, EEG, and eye tracking. Her work bridges cognitive psychology with practical applications in medical imaging, particularly mammography analysis. Dr. Evans' publication record shows consistent output with 46 publications through 2025, demonstrating evolving focus from fundamental visual cognition to applied medical image perception. Her recent work explores scene complexity, visual memory schemas, and the 'gist' processing in mammograms that enables early cancer detection. She collaborates extensively with radiologists, computer scientists, and cognitive psychologists. She actively mentors students, accepting PhD candidates, and contributes to academic service as an ad hoc reviewer for vision, attention, and neuroscience journals, and as an NIH grant review panel member. Her research has been supported by grants including the Individual Ruth Kirschstein-NRSA Postdoctoral grant (2009-2012). Dr. Evans is affiliated with the Perception and Action (Vision group) and Cognition and Communication (Attention, Learning & Memory group) research teams at York, where she continues to advance understanding of visual perception mechanisms and their applications in medical diagnostics.
- Visual Perception
- Attention
- Visual Cognition
- +۵ مورد دیگر
Simon Stringerمشاهده پروفایل
دانشگاهی
Simon Stringer is a Departmental Lecturer and Director of the Oxford Centre for Theoretical Neuroscience and Artificial Intelligence at the University of Oxford's Department of Experimental Psychology. His research focuses on developing computational models of brain function, including vision, spatial processing, motor control, language, and consciousness. He collaborates with experimental groups across the UK to bridge theoretical and empirical neuroscience. His work aims to advance understanding of neurological disorders and inspire AI/robotics innovations. Education: Holds a BSc and PhD (specific institutions unlisted). Professional roles include Course Director for the MSc in Psychological Research. His lab employs theoreticians to model neural dynamics, particularly exploring how primate visual systems interpret complex scenes and the mechanisms of feature binding in neural networks. Research highlights include computational studies on auditory category learning, head direction cell modeling, and spiking neural networks. While no awards are explicitly listed, his work has been featured in outlets like Nautilus Magazine discussing AI consciousness. Labs/Teams: Leads the Oxford Centre for Theoretical Neuroscience & AI, fostering interdisciplinary collaborations between neuroscience and computer science.
Kami Koldewyn is a Professor in the Department of Psychology at Bangor University's School of Psychology & Sport Science, and currently serves as Dean of Research for the College of Medicine and Health. She holds dual roles in research leadership and academic administration, overseeing interdisciplinary initiatives. Her career includes a PhD from UC Davis (2009), postdoctoral work at MIT with Nancy Kanwisher, and faculty roles since 2013. She is part of the Cognitive Neuroscience research group and leads the Developmental Social Vision Lab. Education: BA in Music and Philosophy (Pomona College, 1996), PhD in Neuroscience (UC Davis, 2009), and Fellow of the Higher Education Academy (FHEA). Research focuses on social perception development across the lifespan, neurodevelopmental disorders (e.g., Autism, Fragile X syndrome), and neural bases of social cognition. Methodologies include fMRI, eye-tracking, and behavioral experiments. Teaching includes a specialist 3rd-year module on Brain Development and Degeneration, and guest lectures at undergraduate and master’s levels. Supervision involves four primary PhD students and four secondary supervisees, alongside postdoctoral scholar Julia Landsiedel. Grants include £1.1M ERC Starting Grant (2017–2022) and projects funded by the Royal Society and British Academy. Key research areas: Social interaction perception, neural plasticity in social cognition, and diagnostic tools for neurodevelopmental disorders. Active collaborations span international teams. Lab activities include interdisciplinary projects on social brain networks and developmental neuroimaging.
Professor Patrick Naylor is a faculty member in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on acoustic signal processing, speech processing, and audio technology, with a particular emphasis on spatial audio, robot audition, and applications in human-robot interaction. His work spans theoretical advancements like polynomial eigenvalue decomposition (PEVD) and practical innovations in audio security, data augmentation, and assistive technologies for hearing aids. He leads the Speech and Audio Processing research group, affiliated with Imperial's Robotics Forum, Artificial Intelligence Network, and Natural and Machine Hearing initiatives. His research addresses challenges in multi-channel speech compression, secure audio transmission, and adaptive systems for dynamic acoustic environments. Notable projects include developing neural network-based methods for sound source localization and enhancing speech recognition for post-stroke aphasia patients. Prof. Naylor's work intersects electrical engineering, machine learning, and cognitive sciences. He has pioneered techniques for binaural speech enhancement using deep learning and contributed to standards in acoustic environment profiling. His lab's research is showcased at www.ee.ic.ac.uk/sap . His publications emphasize audio security (e.g., watermarking, privacy-preserving processing) and ambient cooperative intelligence systems. Current trends focus on explainable AI for acoustic neural embeddings and scalable microphone array processing for smart environments. His research frequently addresses real-world applications in healthcare, robotics, and telecommunications. Prof. Naylor collaborates across disciplines, integrating signal processing with robotics and clinical needs. His lab explores both foundational algorithms and deployable systems, reflecting Imperial's engineering ethos of bridging theory and practice.