جست‌وجوی استاد و پژوهشگر

• Human-Robot Interaction
• Robotics
• Virtual Reality
• +۳ مورد دیگر

Paul Bremner is an Associate Professor in Human-Robot Interaction at the Bristol Robotics Laboratory, University of the West of England (UWE Bristol), within the Faculty of Environment and Technology and the Department of Engineering, Design and Mathematics. His work bridges robotics, virtual reality, and human-centered design for healthcare and nuclear applications. His educational background includes: BSc MSc PhD Professor Bremner's research focuses on Human-Robot Interaction, Socially Assistive Robotics, and Nuclear Robotics. He investigates how robots can enhance medical examinations through teleoperation systems, improve nuclear decommissioning via specialized mobile platforms, and build trust through affective computing. His user-centered approach prioritizes real-world usability in complex environments like hospitals and radioactive facilities. Analysis of his 2023-2025 publications reveals three dominant themes: telemedicine robotics (e.g., cross-cultural doctor-robot systems), nuclear robotics (folding morphing-wheg robots for duct entry), and socially assistive applications (robot coaches with ethical frameworks). Key innovations include sonification for teleoperation, digital twins for robot fleets, and customization techniques for affective bonding. His work consistently integrates virtual reality and emphasizes international collaboration, particularly with Thai medical institutions. No scientific awards were documented in the source material. Dr. Bremner mentors students in robotics and human-computer interaction, with research likely supported by grants from UK nuclear agencies and healthcare technology initiatives. His projects demonstrate strong industry partnerships, especially in nuclear decommissioning where practical deployment is critical. He is a core researcher at the Bristol Robotics Laboratory (BRL), a UK-leading facility jointly operated by UWE Bristol and the University of Bristol. At BRL, he contributes to the Robotics for Nuclear Environments group and develops immersive control systems for robot teams operating in hazardous settings.

• Dementia
• Neurodegeneration
• Cognitive Neuroscience
• +۶ مورد دیگر

Professor James B. Rowe is a distinguished cognitive neurologist at the University of Cambridge, holding positions at the MRC Cognition and Brain Sciences Unit and Cambridge Neuroscience. His research program focuses on dementia and neurodegeneration, with four integrated pillars: defining cognitive processes affected by dementia, determining mechanisms of individual differences, predicting brain function trajectories across the lifespan, and developing new drugs to protect or restore brain function. University of Cambridge, School of Clinical Medicine MRC Cognition and Brain Sciences Unit Cambridge Neuroscience Rowe's research spans multiple neurodegenerative conditions including Alzheimer's disease, frontotemporal dementia, Parkinson's disease, and progressive supranuclear palsy. He utilizes advanced neuroimaging techniques (MEG, EEG, fMRI, DWI, PET) alongside cognitive modeling, genetics, and neuropathology to understand disease mechanisms. His work emphasizes precision biomarkers for experimental medicine studies in precisely characterized clinical populations. Analysis of his recent publications (2023-2025) reveals strong focus on synaptic loss, neuroinflammation, and noradrenergic dysfunction across neurodegenerative diseases. His team has pioneered the use of [11C]UCB-J PET to measure synaptic density in vivo, demonstrating its relationship to clinical severity in frontotemporal dementia. There's also significant work on blood-based biomarkers of inflammation and their relationship to central pathology and survival outcomes. Fellow of the Academy of Medical Sciences (FMedSci) Principal investigator for multiple major studies including CamCAN, GENFI, PROSPECT, ICICLE-PD, and PiPPIN Rowe leads an extensive research program with collaborations across Europe and beyond, conducting both observational and interventional studies. His team has established robust methods for harmonizing cognitive data across aging and dementia cohorts, enabling large-scale analyses. Current work focuses on developing the Cambridge Questionnaire for Apathy and Impulsivity Traits (CamQUAIT) and investigating noradrenergic contributions to cognitive processes in Parkinson's disease through pharmacological interventions. His laboratory integrates multiple methodologies including magnetoencephalography, PET imaging, cognitive testing, and blood biomarker analysis to understand the neural basis of cognitive changes in neurodegenerative diseases. Recent work has established important links between locus coeruleus integrity, noradrenergic function, and cognitive symptoms in parkinsonian disorders.

Jan Bergمشاهده پروفایل

دانشیار

• Audio Technology
• Music
• Acoustics
• +۴ مورد دیگر

Jan Berg is an Associate Professor at Luleå University of Technology , affiliated with the Department of Social Sciences, Technology and Arts . His work bridges Audio Technology with interdisciplinary studies in sound ecology and urban environments. His research spans acoustic ecology , live sound engineering , and spatial audio design . Recent publications explore topics like soundscapes in urban planning , in-ear monitoring systems , and acoustic influence on musical performance . Contact: jan.berg@ltu.se | Office: Piteå, G156.

Anne Bonninمشاهده پروفایل

پژوهشگر

• Bioimaging
• Cardiac Imaging
• X-ray Tomography
• +۴ مورد دیگر

Dr. Anne Bonnin serves as a Beamline Scientist at the Paul Scherrer Institute (PSI) in Switzerland, where she has been instrumental in X-ray imaging research since joining the X-ray Tomography Group in 2014 and assuming her current role at the TOMCAT Beamline in 2016. Affiliated with PSI's Center for Photon Science and Laboratory for Macromolecules and Bioimaging, she operates at the forefront of synchrotron-based imaging techniques. Her academic foundation includes a PhD from INSA de Lyon focused on material properties for explosive detection, followed by postdoctoral work at the European Synchrotron Radiation Facility (ESRF) in X-ray diffraction and phase contrast tomography, and an NSF Research Fellowship for paleontology research at Harvard University and ESRF. Specializing in X-ray imaging (micro/nano-tomography, phase-retrieval) and powder diffraction, Dr. Bonnin leads the bioimaging program at TOMCAT with particular emphasis on the international Heart Imaging Project. Her research develops novel methodologies for materials characterization across diverse domains including cardiac microstructure analysis, paleontology, and neurodegenerative disease modeling, with significant contributions to understanding material behavior at microscopic scales. Her recent publications (2019-2021) demonstrate strong interdisciplinary impact, advancing X-ray imaging applications in energy storage (battery materials), biomedical research (cardiac/auditory systems), and materials engineering (aerogels). A defining trend is the integration of machine learning for image analysis, alongside methodological innovations like non-rigid image stitching and Fourier ptychography. These works reflect extensive international collaboration and address critical challenges in healthcare, energy, and fundamental material science. Dr. Bonnin leads the Heart Imaging Project to quantify cardiac microstructure using contrast-agent-free X-ray phase-contrast imaging, while actively contributing to the SLS2.0 upgrade project preparing TOMCAT for multiscale, multimodal, and dynamic tomographic capabilities. Her collaborative framework spans global researchers in materials science, paleontology, and biomedical engineering. As manager of the TOMCAT nanoscope—a full-field imaging setup achieving 150 nm 3D resolution—she enables cutting-edge research in absorption and phase-contrast imaging. Her team within the X-Ray Tomography Group drives the bioimaging program forward, particularly through the Heart Imaging Project's dynamic cardiac studies using modified Langendorff setups.

• Scholarly Communication
• Open Access Policies
• Library Publishing
• +۳ مورد دیگر

Arthur J. Boston is a researcher affiliated with the University Libraries at Murray State University. Their work focuses on scholarly communication , open access policies , and library-led publishing initiatives . Boston actively contributes to debates on equitable research infrastructure, including the Read & Let Read model and alternatives to traditional publishing deals. Research Interests Boston explores intersections between library science and cultural dynamics , incorporating hip-hop pedagogy and music industry practices into scholarly communication frameworks. Their work emphasizes digital equity , information literacy , and innovative models for research dissemination. Scientific Awards No specific awards mentioned in the provided data.

Oliver Behrendمشاهده پروفایل

استاد

• Amphibian lateral line system
• Auditory processing
• Neuroethology
• +۳ مورد دیگر

Oliver Behrend is a Professor at the Department of Biology II within the Faculty of Biology at Ludwig-Maximilians-Universität München, where he serves as Managing Director of the Munich Center for Neurosciences - Brain & Mind . His research focuses on comparative neurobiology and auditory processing mechanisms across vertebrates. Behrend's work examines: 1) Amphibian lateral line systems for surface wave localization, 2) Mammalian sound localization through interaural time difference processing, and 3) Auditory feedback mechanisms in echolocating bats. His studies span neuroethology, auditory neuroscience, and sensory-motor integration. Publications reveal multidisciplinary approaches to sensory neuroscience with keywords: Neuroethology Computational neuroscience Auditory pathways Sensory integration Neural coding Comparative neuroanatomy Contact: o.behrend@lmu.de

Jon Bellonaمشاهده پروفایل

استادیار

• Music Technology
• Audio Production
• Data Sonification
• +۷ مورد دیگر

Jon Bellona is an Assistant Professor of Music Technology at the University of Oregon's School of Music and Dance. He serves as co-director of Harmonic Laboratory and specializes in digital technologies, data sonification, and environmental sound art. PhD in Music (2018), University of Virginia MA in Music (2015), University of Virginia MMus (2011), University of Oregon Professional Degree in Audio Engineering (2006), Conservatory of Recording Arts & Sciences BA in Music (2003), Hamilton College His research explores intersections of sound art , data-body interactivity , and digital musical instrument design . Recent projects like SACRIFICE ZONES: S.O.S. (2024) and Wildfire (2019) demonstrate environmental commentary through immersive installations. Earlier works focus on gesture-controlled compositions and algorithmic sound processing. Scientific awards include grants from the National Science Foundation, Andrew W. Mellon Foundation, and Oregon Arts Commission. He has received fellowships from the University of Virginia and Ford Family Foundation. Jon's practice combines academic research with artistic innovation , utilizing platforms like Kyma, Max/MSP, and custom electronics. His Accessible Oceans NSF grant (2018) exemplifies cross-disciplinary environmental sonification.

Jürgen Peissigمشاهده پروفایل

استاد

• Signal Processing for Audio and Acoustics
• Machine-to-Machine Communication
• Psychoacoustics
• +۵ مورد دیگر

Prof. Dr. Jürgen Peissig is a Full Tenure Professor at the Institute for Communications Technology within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2014. He supervises a research group with 1 post-doctoral researcher and 12 PhD students across subgroups: Data Communications Systems, Audiocommunications and Acoustics, and Statistical Signal Processing. PhD in Physics (1992) from University of Göttingen Researcher at AT&T Bell Labs (1990-1991) Research Associate at Universities of Göttingen and Oldenburg (1992-1996) Industry leadership at Sennheiser (1996-2014) His research spans audio signal processing for hearing aids, cochlear implants, and immersive audio systems; machine-to-machine communication with robust waveforms (FBMC); and hybrid VLC-RF systems . Key sub-fields include noise cancellation, psychoacoustic modeling, MIMO interference alignment, and 3D audio reproduction. Recent publications focus on deep learning for sound source localization, spatial audio measurement frameworks, and wind turbine noise analysis. Trends show integration of neural networks , higher-order ambisonics , and mobile measurement systems . Recipient of Werner v. Siemens Excellence Award 2006 for thesis supervision Awarded Best Technical Paper at AES 156th Convention (2024) Best Student Paper Award at FRUCT 2020 and AES Poster Award 2019 He has taught courses on Signals and Systems , Digital Data Transmission , and Acoustical Transducers , supervising over 30 diploma/master's theses and 15 PhD students. His lab, the Immersive Media Laboratory , develops advanced audio systems for live events and virtual environments.

• Signal Processing
• Machine Learning
• Acoustic Communication Systems
• +۴ مورد دیگر

Rainer Martin is a Professor of Information Technology and Communication Acoustics at Ruhr-Universität Bochum, where he has been affiliated since 2003. He served as Dean of the Faculty of Electrical Engineering and Information Sciences from 2007 to 2009. He holds a Dipl.-Ing. and Dr.-Ing. from RWTH Aachen University and an M.S.E.E. from Georgia Institute of Technology. His research focuses on signal processing, machine learning, and acoustic systems for voice communication, hearing instruments, and human-machine interfaces. Key areas include speech enhancement, noise reduction, binaural processing, cochlear implant optimization, and acoustic sensor networks. His work integrates deep learning with traditional signal processing for real-world applications. Recent publications emphasize neural networks for noise control, hearing aid algorithms, radar interference mitigation, and auditory perception modeling. Trends show strong convergence of machine learning with acoustic engineering, particularly in low-power embedded systems and healthcare applications. Awards: Fellow of the IEEE He leads projects on acoustic sensor networks, automotive radar, and hearing technology, collaborating with industry partners. His lab develops algorithms for hearing aids, cochlear implants, and robust communication systems, with patents spanning noise reduction, echo control, and speech enhancement.

Jason Cheinمشاهده پروفایل

استاد

• Cognitive Psychology
• Cognitive Neuroscience
• Neuroscience
• +۶ مورد دیگر

Jason Chein is a Professor at Temple University’s College of Liberal Arts, Department of Psychology and Neuroscience. He directs the Temple University Brain Research & Imaging Center (TUBRIC) and leads the Control & Adaptive Behavior Laboratory (CAB Lab). PhD in Cognitive Psychology (Cognitive Neuroscience specialization), University of Pittsburgh Postdoctoral research at Princeton University His research explores the development and deployment of self-regulatory control, focusing on how executive functioning influences learning, problem-solving, decision-making, and social navigation under distraction or emotional arousal. Key methodologies include behavioral experiments, longitudinal studies, and MRI-based neuroimaging. Publications emphasize working memory, adolescent decision-making, reward processing, and neuroimaging applications. His work often bridges cognitive neuroscience with developmental psychology, highlighting the interplay between brain maturation, social context, and executive function. Dr. Chein’s lab investigates adaptive behaviors using convergent methodologies. He contributes to graduate education through courses in cognitive neuroimaging, neuroscience core topics, and cognitive psychology.

Martin Schaeferمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Behavioral Psychology
• Neurophysiology
• +۵ مورد دیگر

Martin Schaefer is a Postdoctoral Researcher in the Department of Clinical Neuroscience at Karolinska Institutet, Stockholm, Sweden. His work is conducted within the Perception Neuroscience research group led by Johan Lundström and Artin Arshamian. His research primarily focuses on the relationship between physiological processes and cognitive functions, particularly examining how breathing affects neural activity and visual perception. Dr. Schaefer's primary research interests lie at the intersection of cognitive neuroscience and behavioral psychology. His current work investigates how respiration influences pupil size dynamics and visual perception, building on his doctoral research that examined how breathing affects brain activity and behavioral performance using EEG and physiological methods. His research spans multiple domains including pupillometry, respiratory neuroscience, sensory processing, and neural oscillations. Schaefer's publication record demonstrates significant contributions to understanding the connections between bodily rhythms and cognitive processing. His most recent work has revealed the 'pupillary respiratory-phase response,' showing that pupil size fluctuates in sync with breathing patterns - smallest around inhalation onset and largest during exhalation. This discovery represents a fourth fundamental response of the pupil beyond light, focus, and cognitive effects. His research has important implications for understanding how internal bodily rhythms influence perception and may provide new diagnostic tools for neurological disorders. The findings suggest a deeper connection between breathing and the nervous system than previously realized, potentially affecting how we process visual information within each respiratory cycle.

Kjetil Falkenbergمشاهده پروفایل

دانشیار

• Music Technology
• Human-Computer Interaction
• Rehabilitation Technology
• +۵ مورد دیگر

Kjetil Falkenberg is an Associate Professor at KTH Royal Institute of Technology , affiliated with the Division of Media Technology and Interaction Design . He leads the Music For All thematic group and contributes to interdisciplinary research bridging music technology, accessibility, and rehabilitation. Education: Docent in Media Technology (Södertörn University, 2015), Pedagogy for Higher Education (KTH, 2014), Doctor of Technology in Speech and Music Communication (KTH, 2010), Master in Musicology (NTNU, 2000), Bachelor in Teacher Education (Høgskolen i Sør-Trøndelag, 1999) His research focuses on music technology for accessibility , sonification in rehabilitation , interactive sound installations , and inclusive music education . He develops systems for cochlear implant users, wheelchair training, and collaborative music-making for individuals with disabilities. Recent publications emphasize web-based audio tools , soundscapes in retail , and playful interaction design . He has co-chaired multiple international conferences and served on the jury for Utställningen Unga Forskare. Scientific Awards: Co-chair, Sound and Music Computing Conference (2023) Co-chair, International Sonification Workshop (2019) Co-chair, Sample Music Society Jury member, Utställningen Unga Forskare Kjetil supervises doctoral students in social robotics sonification , virtual acoustics , and music notation systems , alongside numerous master's and bachelor's projects in accessible design and sound technology.

• Serious Games
• Digital Cultural Heritage
• Extended Reality (XR)
• +۷ مورد دیگر

Vedad Hulusic serves as Associate Professor and Deputy Head of the Creative Technology Department within Bournemouth University's Faculty of Science and Technology. He previously held positions as Assistant Professor at University Sarajevo School of Science and Technology and Post-doctoral Researcher at Télécom ParisTech, and acted as REF 2021 Output Champion for Computer Science and Informatics (UoA11). His academic credentials include: PhD in Engineering, University of Warwick, UK BSc in Computer Science, University of Sarajevo, Bosnia and Herzegovina Hulusic's research spans serious games, digital cultural heritage, XR technologies, assistive technology, and cross-modal interaction. His work bridges computer graphics with real-world applications in education, healthcare, and cultural preservation, emphasizing user-centered design and accessibility. Recent projects focus on multi-user XR for cultural heritage and haptic interfaces for children with disabilities. Analysis of his publication record reveals consistent innovation in XR applications for cultural heritage, with growing emphasis on accessibility and user experience. His work demonstrates strong interdisciplinary collaboration with museums, industry partners, and healthcare institutions, while maintaining technical rigor in image quality assessment and perceptual modeling. His scientific recognition includes: Four international best paper awards (CGVC 2023, EG GCH 2021, EG GCH 2018, ACM SCCG 2008) Innovative Value Award (Kingston University London, 2023) Vice Chancellor Scholarship (University of Warwick, 2007) Hulusic actively mentors PhD candidates including Zhenhao Tian, Ethan Southall, Nicholas Lindfield, and Wenjun Liu, focusing on XR and serious games applications. His funded projects include the HEIF-supported 'Feeling the UNfelt (FUN)' assistive technology initiative and current industry collaboration with Noho Ltd on multi-user XR. He has participated in EU frameworks including V-MusT.net and HDRi projects, demonstrating sustained success in securing competitive research funding. As core member of Bournemouth's Centre for Computer Graphics (CCG) and Studio for Games and Animation Technology (SGAT), he drives collaborative research with cultural institutions and industry partners to advance digital heritage preservation and accessible technology design.

Myungin Leeمشاهده پروفایل

مدرس

• Multimodal Instrument Design
• Human-Computer Interaction (HCI)
• Machine Learning
• +۷ مورد دیگر

Myungin Lee is a Lecturer at the Department of Immersive Media Design, University of Maryland, College Park. His research focuses on designing multimodal instruments and interactive systems that integrate principles from HCI, machine learning, signal processing, and neuroscience. Key projects include NeuResonance (inter-brain synchronization feedback) and FractalBrain (EEG-based VR mindfulness tools). He has contributed to venues like ACM CHI, IEEE VIS, and NIME, and holds patents on reverberation time estimation using neural networks. Research interests span crossmodal correspondence in XR, neuro-interactive systems, and real-time audio-visual simulations. Notable collaborations include the NASA Ocean Project and AlloSphere Research Group . His work has been showcased at Ars Electronica and Getty PST 2024. Education: PhD in Media Arts & Technology (implied by dissertation, 2023) Patents: Multichannel microphone-based reverberation time estimation methods (WO2018111038A1, US10854218B2, etc.).

Dale W. Lairdمشاهده پروفایل

استاد

• Cell Biology
• Genetics
• Gap Junction Proteins
• +۶ مورد دیگر

Dr. Dale W. Laird is a Full Professor in the Department of Anatomy & Cell Biology at Western University’s Schulich School of Medicine & Dentistry in London, Ontario. He holds a B.Sc. from the University of Prince Edward Island and M.Sc. and Ph.D. in Biochemistry from the University of British Columbia. After postdoctoral training at Caltech, he joined McGill University as an Assistant Professor before moving to Western University in 1997, where he was promoted to Full Professor in 2002. He currently serves as Assistant Dean, Research Chairs and Awards. His research focuses on connexin and pannexin proteins, particularly their roles in gap junction communication, inherited diseases (e.g., oculodentodigital dysplasia), hearing loss, cancer, and organ development. Key tools include genetically modified mice, patient-derived cells, and advanced imaging technologies like the Zeiss LSM800 confocal microscope. Major awards include the Tier 1 Canada Research Chair (2004–2018) and Fellow of the Canadian Academy of Health Sciences. His lab collaborates with Dr. Donglin Bai on electrophysiology and Dr. Brian Allman on auditory studies. Facilities include specialized equipment for confocal microscopy, cryostat sectioning, and electrophysiology.