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Mischa BillingView profile

Senior Lecturer

• Culinary Arts
• Meal Science
• Sensory Experience
• +4 more

Mischa Billing is a Senior Lecturer at Örebro University specializing in Culinary Arts and Meal Science. She is actively involved in research on sensory experiences, wine studies, and food pairing. Her work spans across multiple disciplines including haptics, olfaction, and culinary traditions. Her research interests focus on the intersection of sensory perception and culinary practices. Billing explores how sound affects taste perception, develops haptic attribute models for food design, and investigates improved sensory experiences for the elderly. Her work in sommelier training and critical attribute techniques bridges traditional culinary knowledge with scientific approaches to sensory evaluation. Analysis of her publications reveals a strong focus on practical applications of sensory science in culinary contexts. Her work spans from theoretical explorations of wine tasting as embodied knowledge to practical guides for food and beverage pairing. The recurring themes include sensory integration, cultural contexts of food consumption, and innovative methods for enhancing meal experiences. Gastronomic Academy's Silver Medal Wine Profile of the Year Nose of the Year Honorary Truffle of the Year Billing has served as general secretary of the International Sommelier Association (ASI) and is a member of the Wine Academy in Sweden. She has extensive experience in evaluating diverse products including Swedish tap water and apple juice. Her media presence includes serving as a jury member on TV4's Sweden's Master Chef and delivering radio talks for Sveriges Radio. She leads several research initiatives including the Sense Lab, which focuses on future sensory experiences, and participates in research groups examining meals from social and cultural perspectives. Her projects like 'Rewine The World' demonstrate interdisciplinary approaches to reducing food waste through innovative culinary methods.

• Multimodal Learning
• Multilingual NLP
• Vision-Language Models
• +4 more

Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.

Gunnar BlohmView profile

Assistant Professor

• Sensorimotor Neuroscience
• Clinical Medicine
• Neurology
• +3 more

Gunnar Blohm is an Assistant Professor in the Department of Biomedical and Molecular Sciences at Queen's University, affiliated with the School of Medicine and Faculty of Health Sciences. His research focuses on sensorimotor neuroscience, particularly 3D sensorimotor control, eye-hand coordination, and computational modeling of neural processes. He holds a Ph.D. from Université Catholique de Louvain and has held postdoctoral positions at York University and his alma mater. Cross-appointed to the School of Computing, Department of Psychology, and Department of Mathematics and Statistics, he is also Vice-Director of the Connected Minds initiative. His research integrates behavioral experiments, brain imaging (MEG/EEG), and patient studies to understand how sensory information is transformed into goal-directed actions. Key areas include visuomotor transformations, multisensory integration, and Bayesian processes in neural computations. Blohm leads the Computational Sensorimotor Neuroscience Lab, emphasizing collaborative projects like Neuromatch Academy and contributions to open science initiatives. Affiliated with Queen's Centre for Neuroscience Studies and Ingenuity Labs, his work bridges computational approaches with clinical applications, aiming to develop frameworks for understanding brain dysfunction and clinical tools. His recent articles explore topics like saccade dynamics, pupil responses, and generative adversarial collaborations in scientific discourse.

André FiebigView profile

Researcher

• Psychoacoustics
• Soundscape Research
• Noise Effects
• +7 more

Dr. phil. André Fiebig is a Permanent Research Associate and PostDoc at the Institute of Fluid Mechanics and Technical Acoustics (ISTA) within Faculty V - Transportation and Mechanical Systems at Technical University of Berlin. From January 2019 to December 2024, he served as a Visiting Professor responsible for the field of psychoacoustics, funded by the HEAD Genuit Foundation. Since January 2025, he has been leading the 'Psychoacoustics and Noise Effects' working group at the Department of Technical Acoustics. His research spans multiple areas within psychoacoustics and soundscape studies, including fundamentals and modeling of psychoacoustic sensation variables, binaural psychoacoustics, assessment of ambient noise and soundscapes, and psychoacoustic evaluation of sound insulation measures. His work also addresses cognitive stimulus integration of auditory sensations, auditory recreation, acoustic quality of stay, characterization of quiet areas, and measuring sound-induced emotions. Analysis of his recent publications reveals a strong focus on urban soundscapes, noise-conscious behavior in transportation, and the development of methodological frameworks for soundscape assessment. His work often integrates psychoacoustic principles with environmental considerations, particularly examining the relationship between sound environments and human health. Recent research shows increasing emphasis on cross-cultural studies of noise perception and the development of standardized assessment methodologies. Dr. Fiebig is involved in the EARS (Education and Applied Research on Soundscapes) initiative and has contributed to numerous collaborative research projects examining the intersection of urban planning, environmental acoustics, and human perception. His work frequently appears in major acoustics conferences and journals, demonstrating his active role in advancing the field of psychoacoustics and soundscape research. His laboratory work focuses on psychoacoustic testing methodologies, soundscape assessment techniques, and the development of evaluation instruments for noise protection measures. The 'Psychoacoustics and Noise Effects' working group under his leadership conducts research on both theoretical aspects of sound perception and practical applications for urban noise management.

Nicolas DavidenkoView profile

Associate Professor

• Cognitive Psychology
• Perception
• Face Recognition
• +5 more

Nicolas Davidenko is an Associate Professor in the Department of Psychology at the University of California, Santa Cruz (UCSC). He leads the High Level Perception Lab, focusing on behavioral and computational studies of human perception, particularly face recognition, spatial orientation, and visual ambiguity. His work emphasizes 'top-down' processes like attention and expectations. Davidenko holds a Ph.D. in Psychology from Stanford University (2006), an M.S. in Statistics from Stanford (2004), and an A.B. in Mathematics from Harvard (1998). His research explores how humans perceive and interpret complex visual information, including studies on illusions, virtual reality, and misophonia. He has developed parametric models of faces to study memory encoding and drawing accuracy. Notable achievements include a Top-10 Finalist placement in the 2015 Best Illusion of the Year Contest for his 'Mind-controlled motion' research. He teaches courses such as PSYC 121 (Perception), PSYC 139K (Face Recognition), and advanced cognitive research seminars. Davidenko also runs the CSASS Matlab Workshops, training researchers in statistical tools. His lab includes graduate students and postdocs, with alumni like Jennifer Day (Ph.D. ’19) and Pat Samermit (Ph.D. ’18). Recent projects include investigations into vection in VR environments, cross-sensory modulation of aversive sounds, and time perception in virtual reality. His work bridges cognitive psychology, neuroscience, and computational modeling, contributing to understanding how perception shapes human interaction with the environment.

Frank RussoView profile

Professor

• Auditory Cognitive Neuroscience
• Music Psychology
• Music Medicine
• +12 more

Frank Russo is a Professor in the Department of Psychology at Toronto Metropolitan University, where he holds the NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience. He leads the Science of Music Auditory Research and Technology (SMART) Lab and holds affiliate and adjunct positions at the University Health Network and the University of Toronto, respectively. Research Interests: Dr. Russo's work lies at the intersection of auditory cognitive neuroscience, music psychology, and rehabilitation. His research explores how humans perceive music and speech, particularly under challenging conditions such as hearing loss or non-native accents. He investigates the cognitive and neural mechanisms of listening effort, emotional speech processing, and the social and therapeutic benefits of music, especially through community choirs and digital interventions. Publication Trends: His recent publications emphasize objective measurement of listening effort using functional near-infrared spectroscopy (fNIRS), music-based interventions for Parkinson’s disease and dementia, vocal and emotional responses to singing, and multisensory integration in beat perception. The work is highly translational, bridging basic cognitive neuroscience with clinical and community applications. Scientific Awards and Honors: NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience Fellow of the Canadian Psychological Association Fellow of Massey College Fellow of the Canadian Society for Brain, Behavior and Cognitive Science Past President of the Canadian Acoustical Association Advising and Grants: Dr. Russo actively mentors students and researchers, as evidenced by his co-authorship with numerous junior colleagues. He has secured major funding through NSERC and industry partnerships, enabling the development of impactful technologies such as hearing aid algorithms, sensory substitution systems, and digital therapeutics. His SingWell project fosters collaboration across academic, clinical, and community sectors. Labs and Teams: He directs the SMART Lab at Toronto Metropolitan University, a hub for interdisciplinary research on music, hearing, and cognition. The lab collaborates extensively with KITE Research Institute, Rehabilitation Sciences at the University of Toronto, and various community organizations focused on aging, hearing loss, and neurodegenerative conditions.

• Vision science
• Ageing and vision
• Falls prevention
• +5 more

Dr. Alex Black is an Associate Professor in the School of Optometry & Vision Science at Queensland University of Technology (QUT), Faculty of Health. He serves as Course Coordinator for the Master of Optometry program and leads the Vision and Everyday Function research group within QUT's Centre for Vision and Eye Research. His expertise spans vision science, ageing-related vision decline, falls prevention, and driving safety. Dr. Black holds dual qualifications: a PhD in Vision Science (QUT, 2010) and a Masters of Public Health (University of Queensland, 2012). Teaching roles: Coordinates OP85 Master of Optometry program Research focus: Vision impairment impacts on mobility, driving safety, and academic performance Awards: FAAO (Fellow of American Academy of Optometry), FHEA (Fellow of Higher Education Academy) Research highlights include AUD $3.2 million in grants, over 100 publications, and contributions to international journals like Clinical & Experimental Optometry . His work bridges clinical practice and research, addressing real-world issues through innovative studies such as night-time pedestrian safety clothing design and advanced driver assistance system (ADAS) usability for older adults. Key collaborations include NHMRC-funded projects on injury prevention and Vision and Driving research laboratory studies. Dr. Black also serves editorial roles for Clinical & Experimental Optometry and peer review activities.

Richard GaultView profile

Lecturer

• Computer Vision
• Medical Image Analysis
• Artificial Intelligence
• +3 more

Dr. Richard Gault is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His research focuses on computer vision and deep learning applied to microscopy data, particularly in medicine, health, and life sciences. He leads a team developing novel methods for medical image analysis, including histopathology and digital pathology, with applications in cancer diagnosis and environmental science. He is actively involved in teaching, having received Excellence in Teaching awards from Queen's University Belfast in 2019 and 2022. His work bridges computational intelligence and healthcare, with notable contributions to AI-driven diagnostics, stain normalization in histopathology, and multimodal data fusion. Dr. Gault's research interests include ensemble learning, fuzzy systems, and generative models like diffusion networks. He supervises multiple PhD students and has mentored graduates now working in machine learning engineering and postdoctoral research. His team’s achievements include awards such as the 2023 Best Oral Presentation at the Pan Ireland Ophthalmology Day and a 2021 Best Paper Award from his school. Key contributions include the LymphoSight AI application for detecting lymphoid structures and HistoClean , open-source software for improving CNN development in histopathology. He has been recognized as a Senior Member of IEEE and a Fellow of the Higher Education Academy. His work is supported by grants such as the R5131ECI project on 3D quantifier approximation via 2D video analysis (2019–2025). He actively engages in academic activities, including conference organization and PhD external examinations across Europe.

Ana SerranoView profile

Associate Professor

• Visual Computing
• Computational Imaging
• Material Appearance Perception
• +7 more

Ana Serrano is an Associate Professor at Universidad de Zaragoza, Spain, where she is affiliated with the Graphics & Imaging Lab in the EINA (Edificio Ada Byron) school. She earned her PhD at the same institution under the supervision of Prof. Diego Gutierrez and Prof. Belen Masia, and completed a postdoctoral fellowship at the Max-Planck-Institute for Informatics under Prof. Karol Myszkowski. Her research focuses on visual computing , particularly in computational imaging , material appearance perception and editing , and virtual reality . She is especially interested in developing perceptually-driven methods that leverage knowledge of the human perceptual system to enhance user experiences and assist content creation in immersive environments. Her recent publications (2023–2025) span top-tier venues such as SIGGRAPH, CVPR, IEEE TVCG, and Eurographics. These works explore topics like saliency prediction in 3D and 360° video, crossmodal perception in VR, gloss modeling, radiance fields, and perceptual evaluation of immersive content. The research demonstrates a strong integration of machine learning, human perception, and computer graphics to solve real-world problems in visual computing. She has received several prestigious awards, including: Eurographics 2023 Young Researcher Award VGTC VR 2024 Significant New Researcher Award Eurographics 2020 PhD Award Adobe Research Fellowship (honorable mention, 2017) NVIDIA Graduate Fellowship (2018) Ana Serrano actively supervises PhD and Master’s students and has taught courses such as Virtual Reality, Computational Imaging, and Deep Learning applications. She serves as an Associate Editor for Computer Graphics Forum , ACM Transactions on Applied Perception , and Computers and Graphics , and has held leadership roles in major conferences including Eurographics (Tutorials co-chair, 2023), ACM SAP (Program co-chair, 2022), and CEIG (Program co-chair, 2022). Her professional service includes extensive program committee and reviewer roles for SIGGRAPH, IEEE VR, ISMAR, and others. She leads a vibrant research group focused on human perception in virtual environments, with current projects on computational models of attention and perception, integrated with physiological signals. Her lab, the Graphics & Imaging Lab, fosters interdisciplinary collaboration and innovation in visual computing.

• Human-Computer Interaction (HCI)
• Haptics
• Augmented Reality
• +3 more

Hasti Seifi is an Affiliated Associate Professor at the Department of Computer Science (DIKU), University of Copenhagen, specializing in Human-Centred Computing. Her research focuses on haptics, augmented reality, and human-robot interaction. Institution: University of Copenhagen Department: Department of Computer Science Section: Human-Centred Computing Research interests include: Designing innovative haptic feedback systems Exploring tactile experiences in augmented reality Developing human-robot interaction frameworks Creating generative models for haptic design Investigating social touch technologies Advancing mid-air and ultrasound haptic interfaces Recent publications demonstrate a strong focus on: Generative haptic modeling for AR/XR systems Human-robot interaction dynamics Text input in extended reality environments Visual-haptic multisensory integration Ultrasound mid-air haptic design tools Social touch technologies

• Urban anthropology
• Visual anthropology
• Anthropology of children and youth
• +4 more

Filip De Boeck is a full professor in Social and Cultural Anthropology at KU Leuven’s Faculty of Social Sciences. He is a member of the LUSI - KU Leuven Urban Studies Institute and serves on the Council of the Faculty of Social Sciences. His research focuses on urban anthropology, visual anthropology, and the Democratic Republic of Congo, particularly Kinshasa. He leads projects such as ‘Colonial Graverobbing’ and ‘Dakar-Bamako: Waiting for a train ride back to the future.’ De Boeck’s work bridges ethnography and art, collaborating with visual artist Sammy Baloji on projects like Suturing the City . His recent publications include studies on Kinshasa’s urban futures, infrastructure politics, and decolonial knowledge frameworks. He has supervised PhD candidates such as Charlotte Veithen and Niels Van Doninck. His research highlights themes like urban marginality, postcolonial urbanism, and the interplay between art and anthropology. Key projects include the Frontier Files book and exhibition exploring Congo-Angola border dynamics. De Boeck’s work is supported by grants including KU Leuven’s Sabbatical Program and the Bijzonder Onderzoeksfonds. He actively engages with global academic networks, presenting at institutions like the British Academy and University of Lisbon. His teaching includes courses on urban anthropology, power dynamics, and decolonizing anthropology. Current projects address infrastructure politics in Abidjan, Côte d’Ivoire, and the socio-spatial transformations of Kinshasa’s Malebo Pool wetlands.

Susanne JaeggiView profile

Professor

• Cognitive Training
• Executive Functions
• Individual Differences in Cognition
• +4 more

Susanne M. Jaeggi is a Professor of Psychology at Northeastern University, with additional affiliations in the Bouve College of Health Sciences and the College of Arts, Media, and Design. Her research focuses on cognitive training, executive functions, and individual differences in cognition across the lifespan. She holds PhDs in Cognitive Psychology and Neuroscience from the University of Bern (Switzerland), and completed postdoctoral work in Cognitive Neuroscience at the University of Michigan. Her work has been funded by NIH, NSF, IES, ONR, and the Advanced Education Research and Development Fund (AERDF). She leads the Working Memory & Plasticity Lab , which develops interventions to improve working memory and executive functions, and co-leads the Brain Game Center for Mental Fitness and Well-Being , creating evidence-based brain fitness tools. Jaeggi’s research emphasizes understanding mechanisms of cognitive improvement through training, including neuroplasticity and individual variability. Key areas include cognitive aging interventions, gamification, sensory-cognitive interactions, and the impact of socioeconomic factors on academic achievement. Her work integrates behavioral experiments, neuroimaging, and digital health technologies to address real-world challenges in education and healthcare. Recent studies explore music/art-based interventions, brain stimulation (e.g., tDCS), and scalable cognitive assessments. Collaborations span disciplines, with publications addressing topics like neural correlates of training, motivational features in interventions, and cross-modal perception. Her labs emphasize translating findings into public-facing tools, such as freely accessible brain fitness apps. Current projects include optimizing interventions for ADHD populations and leveraging digital platforms for global mental fitness.

Daniel HydeView profile

Associate Professor

• Cognitive Development
• Numerical Cognition
• Developmental Psychology
• +7 more

Daniel Hyde is an Associate Professor in the Department of Psychology at the University of Illinois Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences and the Neuroscience Program. His research explores the nature and development of abstract conceptual knowledge through behavioral and neural measures. PhD in Psychology from Harvard University Hyde investigates cognitive development from infancy to adulthood, focusing on quantitative reasoning , spatial reasoning , and psychological reasoning using techniques like event-related brain potentials (ERPs) , functional near-infrared spectroscopy (fNIRS) , and behavioral assessments. His recent work examines how symbolic number knowledge builds on non-symbolic foundations and how neural sensitivity to mental states in infancy predicts later theory of mind abilities. Hyde's publications demonstrate a consistent focus on numerical cognition, multisensory integration, and developmental neuroscience. He leads the Brain and Cognitive Development Lab , participates in global initiatives like ManyNumbers and ManyBabies , and collaborates across disciplines to apply developmental insights to education and public health contexts.

Jasmine BegeskeView profile

Assistant Clinical Professor

• Inclusive Education
• Arts Education
• Assistive Technology
• +5 more

Jasmine Begeske serves as Clinical Assistant Professor of Special Education in Purdue University's Department of Educational Studies within the College of Education. She co-founded and directs CREATE: Center for Research and Equipment for Assistive Technology in Education, an AT library and makerspace providing hands-on opportunities for pre-service teachers to develop individualized solutions for students with disabilities using 3D printers, Cricut, and Glowforge equipment. Her educational background includes: PhD in Special Education with Cognate in Art Education from Purdue University MFA in Photography and Related Media from Purdue University MS in Secondary Education (Special Education specialization) from Indiana University Northwest BFA in Photography with Art History minor from Indiana University Dr. Begeske's research program examines inclusive access to arts education through program evaluation and creative assistive technology development. Her experimental printmaking practice integrates individuals with disabilities as co-creators , while her scholarly work validates instruments measuring preschool arts accessibility and develops multisensory adaptations for students with visual impairments. She bridges art education and special education through evidence-based AT interventions . Analysis of her publication history reveals consistent focus on arts/special education intersections with increasing emphasis on empirical validation of accessibility instruments and multisensory adaptations. Her 2023 work on teacher education in art classrooms and multisensory adaptations demonstrates practical applications of her CREATE center's mission, while her 2022 instrument validation study establishes methodological rigor in measuring arts accessibility. Her scientific recognition includes: 2023 USSEA Outstanding Dissertation Award 2023 Purdue Focus Award for equity initiatives 2022 AEAI President's Award for EDI service Multiple Purdue University teaching and discovery awards (2020-2023) With 15+ years of teacher preparation experience spanning 100+ course sections, Dr. Begeske mentors doctoral students while securing grant funding including $100K from Purdue's Instructional Equipment Grant for CREATE. Her professional service encompasses state-level program reviews, academic standards committees, and leadership roles in Indiana Division of Early Childhood and CEC-DARTS. The CREATE center operates as a dual-space AT innovation hub with fixed location in Beering Hall and mobile carts supporting field experiences. It empowers pre-service teachers to prototype solutions addressing specific student needs while advancing Dr. Begeske's mission of making education universally accessible through technology and creativity.

Kuo-Fen LeeView profile

Professor

• Molecular Neurobiology
• Nerve Regrowth
• Spinal Cord Injury
• +5 more

Kuo-Fen Lee, PhD is a Professor at the Salk Institute for Biological Studies, holding the prestigious Helen McLoraine Chair of Molecular Neurobiology. He leads the Clayton Foundation Laboratories for Peptide Biology, where his research focuses on nerve regeneration, spinal cord injury, and molecular mechanisms underlying neural development and neurodegenerative diseases. His work bridges basic neuroscience with potential therapeutic applications for conditions like ALS, paralysis, and Alzheimer's disease. Dr. Lee received his educational training from multiple prestigious institutions: a degree in Plant Pathology from National Taiwan University; an MS in Cancer Enzymology and Cell Differentiation from National Yang-Ming Medical College, Taiwan; a PhD in Endocrinology from Baylor College of Medicine, Houston; and completed his postdoctoral training at the Whitehead Institute for Biomedical Research. His primary research interests center on understanding why humans cannot regenerate damaged nerves while many other animals can. Dr. Lee has made significant discoveries regarding the p45 protein, which promotes nerve regrowth in mice but is absent in humans (who instead have p75, which inhibits nerve growth). His laboratory also studies neuregulin signaling, neuromuscular synapse formation, and the role of various proteins like nestin in neural development and maintenance. His work often employs mouse models to investigate spinal cord injury, pain pathways, and neurodegenerative conditions. Analysis of Dr. Lee's recent publications reveals a consistent focus on molecular neurobiology with particular emphasis on neural signaling pathways, synaptic maintenance, and nerve regeneration mechanisms. His research spans from basic molecular mechanisms to potential therapeutic applications, with increasing attention to pain pathways, Alzheimer's disease models, and the intersection of neuroscience with immunology and metabolism in recent years. As holder of the Helen McLoraine Chair of Molecular Neurobiology, Dr. Lee has received significant institutional recognition for his contributions to neuroscience. While specific awards aren't detailed in the provided text, his sustained funding and leadership position indicate substantial peer recognition in his field. Dr. Lee's research program involves extensive collaboration with other neuroscience laboratories, as evidenced by his numerous co-authored publications across various neuroscience subdisciplines. His work has been consistently funded, allowing for the maintenance of an active research laboratory focused on nerve regeneration and molecular neurobiology. The Clayton Foundation Laboratories for Peptide Biology serves as the primary research environment for Dr. Lee's team, where they investigate molecular mechanisms of nerve development, regeneration, and degeneration using advanced genetic, molecular, and cellular approaches. The laboratory maintains active research programs in multiple areas of neural signaling and development.