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Jing FuView profile

Associate Professor

• Nanoengineering
• Biomedical Applications
• Focused Ion Beam (FIB) Technology
• +7 more

Dr. Jing Fu is an Associate Professor in the Department of Mechanical & Aerospace Engineering at Monash University. He holds a PhD in nano/microfabrication processes for biomedical applications from Pennsylvania State University (2008). His research focuses on nanoengineering tools, particularly Focused Ion Beam (FIB) technology for imaging and manipulating single cells. He is a principle scientist in collaborative projects with CSIRO MCN and Australian Synchrotron, exploring nanomaterial dynamics in immune cells. His expertise spans FIB/SEM/TEM, cryogenic environments, and multidisciplinary biomedical engineering. Education: M.Eng/Ph.D., Pennsylvania State University, USA (2008). Postdoctoral Fellowship at NIH (2008–2010). Joined Monash Faculty of Engineering in 2010. Research Interests: 3D visualization of HIV viral entry, compositional mapping of mammalian cells, and FIB-driven correlative imaging. Projects include '3D Cryo-FIBSEM Imaging Facility' (2015–2017) and 'Targeting NDM-producing superbugs' (2013–2015). Current collaborations involve tooth enamel evolution studies (2025–2028). Key Contributions: Over 90 publications, including work on graphene encapsulation for APT, ion beam fabrication of nanostructures, and polymyxin antibiotic efficacy. His research aligns with UN SDGs for health and innovation. Grants & Awards: ARC and NHMRC funding for projects on superbug targeting and imaging facilities. Active in multidisciplinary teams addressing biomedical challenges.

• Music Technology
• Music Psychology
• Embodied Music Cognition
• +5 more

Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.

• Risk Management
• Crisis Management
• Patient Safety
• +7 more

Denis Fischbacher-Smith is a Professor and Research Chair in Risk and Resilience at the University of Glasgow's Adam Smith Business School, within the College of Social Sciences. Previously, he held roles at the University of Liverpool, including founding director of its Management School, and held academic positions at Sheffield, Durham, and John Moores Universities. He also served as a visiting professor at Kobe University (Japan), San Diego State University (USA), and Innsbruck University (Austria). His academic journey includes degrees from Manchester, Glasgow, St Andrews, and others, culminating in a DLitt in Crisis Management. He holds over a dozen professional certifications, including Fellowships from the Academy of Social Sciences and Higher Education Academy, and Chartered statuses in Geography, Security, and Management. Research focuses on risk management, crisis response, and organizational resilience, with 112+ publications spanning three decades. Key areas include evacuation strategies, crisis team performance, emergency planning limitations, and organizational vulnerability. He advises governments (e.g., UK Department of Health, Lesotho), corporations, and regulatory bodies, and has led projects on healthcare safety and terrorism preparedness. Publications emphasize interdisciplinary approaches to risk, such as using comics in education and analyzing post-EU expansion crises. Awards recognize his contributions to public health policy, emergency planning, and security practices. He chairs HARM Consulting and serves on boards of NHS trusts and sports organizations.

Ivett Orsolya BacskayView profile

Assistant Professor

• Analytical Chemistry
• Separation Science
• Chromatography
• +11 more

Dr. Ivett Orsolya Bacskay is an Assistant Professor at the Department of Analytical and Environmental Chemistry, Institute of Chemistry, Faculty of Science, University of Szeged. Her research focuses on fundamental and applied aspects of separation science, particularly in liquid chromatography, with expertise in retention mechanisms, mass transfer, and stationary phase characterization. Research Interests: Her work spans several key areas in analytical chemistry, including hydrophilic interaction liquid chromatography (HILIC), size-exclusion chromatography, chiral separations, pore size distribution analysis, and molecular imprinting for artificial antibody development. She investigates both theoretical models and practical applications in chromatographic systems. An analysis of her recent publications (2010–2025) reveals a strong emphasis on improving chromatographic efficiency and understanding molecular interactions in separation processes. Her studies frequently address challenges in hold-up volume determination, overloading effects, and mass transfer in various stationary phases, contributing significantly to the advancement of HPLC and LC-MS methodologies. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While specific details about students or funded projects are not listed, her active research output and faculty position suggest involvement in mentoring graduate students and securing research support. She has contributed to interdisciplinary studies involving neuropharmacology and plant biochemistry, indicating collaborative research efforts. Labs and Teams: Dr. Bacskay is part of the Institute of Chemistry at the University of Szeged, where she conducts research within the Department of Analytical and Environmental Chemistry. Her work likely involves collaboration with analytical chemistry research groups focusing on method development, column technology, and environmental or pharmaceutical analysis.

Elena A. EroshevaView profile

Professor

• Hierarchical Modeling
• Longitudinal Data Analysis
• Latent Variable Modeling
• +4 more

Elena A. Erosheva is a Professor in the Department of Statistics and Social Work at the University of Washington , where she also serves as the Associate Director of the Center for Statistics and the Social Sciences (CSSS). Her research focuses on hierarchical modeling , longitudinal data analysis , and latent variable models , with applications in social sciences, disability research, and health statistics. She has taught courses like Multivariate Data Analysis, Sample Survey Techniques, and Statistical Modeling with Latent Variables. Education : PhD in Statistics, University of Washington (2002) Current Research : Measuring gender-based homophily in collaborations, modeling life course transitions, partial mastery cognitive diagnosis models, and bias detection in grant review Scientific Awards : 2019 NIH Center for Scientific Review First Prize for Most Creative Idea for Detection of Bias in Peer Review 2013 Mitchell Prize, International Society for Bayesian Analysis 2015 ASA Student Paper Award (with Maryclare Griffin) Her students and postdoctoral researchers include Sheridan Grant, Y. Samuel Wang, and Jonathan Gruhl. She uses R software extensively in her teaching and research. Contact: erosheva@uw.edu | Personal Website

• Aeolian geomorphology
• Wind erosion processes
• Dust emission dynamics
• +5 more

Jeffrey A. Lee is a Professor in the Department of Geosciences at Texas Tech University, specializing in aeolian geomorphology and environmental processes. With academic appointments since 1988, his work focuses on wind-driven sediment transport and dune dynamics across multiple continents. Education: B.A. in Geography (1979), University of California, Los Angeles M.A. in Geography (1984), University of California, Los Angeles Ph.D. in Geography (1990), Arizona State University Research interests center on aeolian processes, particularly dust emission dynamics and wind erosion patterns. His work examines temporal trends in blowing dust across Texas and the American Southwest, while also investigating long-term shifts in wind climate patterns. Professor Lee teaches foundational physical geography courses including Global Environmental Science and advanced topics in arid land geomorphology. Recent publications demonstrate interdisciplinary focus across aeolian geomorphology, environmental monitoring, and climate science. Key themes include dust source characterization using satellite data, drought legacy effects on erosion, and historical analysis of environmental disasters like the Dust Bowl. Contact: jeff.lee@ttu.edu | 213 Holden Hall, Texas Tech University | (806) 834-8228

Gideon SpanjarView profile

Professor

• Urban Transformation
• Climate Resilient Cities
• Sustainable Urban Development
• +3 more

Gideon Spanjar is a Professor of Innovation and Urban Green Spaces at Aeres University of Applied Sciences and holds a senior role as a researcher and project leader at Amsterdam University of Applied Sciences’ Faculty of Technology. He leads initiatives like the Sensing Streetscapes project and the EU-funded Cool Towns , focusing on urban transformation, climate resilience, and nature-based solutions. His work bridges urban design, environmental science, and human well-being through projects such as Building4Wellbeing and Biodiverse Cities . Research interests include spatial urban transformation, climate adaptation, and bio-based housing. He collaborates with municipalities, architecture firms, and international bodies to develop strategies for just, climate-resilient cities. Key outputs include the Urban Heat Atlas and Nature-inclusive Guiding Principles white paper, emphasizing participatory design and neuroarchitecture. Notable awards include the HvA Research of the Year 2022 for Sensing Streetscapes . His work spans academic publications, policy frameworks, and public engagement, reflecting a commitment to actionable urban solutions.

James F. O'BrienView profile

Professor

• Computer Graphics
• Computer Animation
• Physical Simulation
• +7 more

Dr. James F. O'Brien is a Professor of Computer Science at the University of California, Berkeley, affiliated with research centers including the Berkeley Artificial Intelligence Research Lab (BAIR) and the Visual Computing Lab (VCL). His research focuses on computer graphics, animation, physical simulation, and image forensics, with applications in film, gaming, and virtual reality. O'Brien pioneered destruction modeling techniques used in over 200 films and games, earning an Academy Award in 2015. He holds leadership roles in tech companies like Juice Labs and Get Klothed, and has advised on patent litigation cases. Education: PhD in Computer Science (Georgia Tech, 2000), MS (Georgia Tech, 1997), BS (Florida International University, 1992). Research Interests: Computer Animation & Simulation Image/Video Forensics Human Perception of Motion VR/AR Privacy & Motion Data Machine Learning Applications Awards: Recipient of the 2015 Academy Award for Technical Achievement, ACM Distinguished Scientist (2009), and MIT TR-35 Innovator (2004). His work spans over 50,000+ VR user studies and groundbreaking contributions to cloth simulation and destruction modeling. Current Projects: Exploring ethical implications of extended reality (XR) motion data, developing privacy-preserving VR systems, and advancing AI-driven animation techniques.

Melanie CampbellView profile

Professor

• Biomedical Optics
• Retinal Imaging
• Alzheimer's Disease Diagnosis
• +4 more

Melanie Campbell is a Professor at the University of Waterloo, cross-appointed to the School of Optometry and Department of Systems Design Engineering. Her research focuses on the optical properties of the eye, developing imaging systems for diagnosing Alzheimer's disease and diabetic retinopathy through polarization techniques and adaptive optics. PhD in Physics from Australian National University (1982) MSc in Physics from University of Waterloo (1977) BSc in Chemical Physics from University of Toronto (1975) Research interests include: Retinal amyloid detection for Alzheimer's diagnosis Adaptive optics for high-resolution imaging Polarimetry in ocular pathology Presbyopia and ophthalmic corrections Her publications (2012-2019) demonstrate interdisciplinary applications of optics in neuroscience and diabetes research, with key contributions to: Retinal polarization imaging Two-photon therapy systems Cone photoreceptor analysis Animal models of neurodegeneration Scientific honors include: 2019 Laird Lecturer 2014 CAP-INO Medal 2004 Rank Prize in Optoelectronics Fellow of Optical Society of America As director of Campbell Labs, she leads research on retinal imaging techniques and their applications in neurological disease diagnosis.

• Computational Neuroscience
• Visual System
• Sensory Coding
• +7 more

Thomas Wachtler-Kulla is a Professor in the Department of Biology II at Ludwig-Maximilians-University Munich, where he leads the Computational Neuroscience research group. He is a GSN full member and serves as the GSN Ombudsperson, offering neutral and confidential counseling for students. He is also the Group Leader and Scientific Director at the German Neuroinformatics Node (G-Node), contributing significantly to neuroscience data infrastructure. His research focuses on how the brain processes sensory signals, particularly in the visual system, aiming to understand neural coding, perceptual stability, and color vision under natural conditions. He employs neurophysiology, psychophysics, and computational modeling to investigate sensory processing, eye movement compensation, and efficient coding mechanisms. At G-Node, he develops software and hardware tools for organizing, storing, analyzing, and sharing neurophysiological data, promoting reproducible research. His recent work spans Bayesian models of hue perception, data management frameworks like DataLad and odML, and studies on honeybee neuroethology. He actively supervises graduate students and contributes to major initiatives such as NFDI-Neuro and the International Neuroinformatics Coordinating Facility, advancing standards for open and FAIR neuroscience. Scientific Contributions and Leadership: Scientific Director, German Neuroinformatics Node (G-Node) GSN Ombudsperson for student conflict resolution Key contributor to NFDI-Neuro and INCF Developer of tools for metadata management and data sharing He advises several current and former graduate students and is deeply involved in shaping data policies and infrastructure for the neuroscience community, ensuring scientific rigor and accessibility.

Richard AllenView profile

Professor

• Working Memory
• Long-term Memory
• Forgetting
• +3 more

Professor Richard Allen holds the position of Professor of Cognitive Psychology at the University of Leeds, School of Psychology. He joined the university in 2008 as a Lecturer, became Associate Professor in 2015, and was promoted to full Professor in 2025. His academic journey includes a BSc and PhD in Psychology from the University of York, followed by postdoctoral research at the University of Bristol and University of York with renowned psychologists Alan Baddeley and Graham Hitch. He is an Associate Editor of Psychonomic Bulletin & Review (2019–2024) and previously served at Memory (2013–2019). He organized the 4th International Conference on Working Memory (2024) and is involved in international memory conferences. His research focuses on memory function across populations, including mechanisms of binding in working memory, attentional control, and aging. Key projects include ESRC-funded work on cognitive ageing and ARC-funded studies on cognitive offloading in children. He leads the Working Memory and Cognition (WoMCog) and Psychology of Ageing at Leeds (PAL) research groups, and his work is supported by grants from ESRC, ARC, and others. He has supervised over 20 PhD students and teaches at all levels in the School of Psychology. Research interests emphasize memory binding, attention-memory interactions, and applications to education/clinical settings. His work explores how information is encoded, maintained, and retrieved across modalities, with a focus on lifespan development and neurodegenerative conditions. Recent studies include detecting long-term forgetting in epilepsy and improving memory strategies for older adults. He has pioneered concepts like 'visuospatial bootstrapping' and 'strategic prioritization' in memory research.

Afra AlishahiView profile

Professor

• Computational Linguistics
• Language Acquisition
• Neural Models of Language
• +5 more

Afra Alishahi is a Full Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence within the Tilburg School of Humanities and Digital Sciences. Her research focuses on computational models of human language acquisition and grounded language learning, leveraging neural models to explore how language processing and acquisition occur. She has held roles including Assistant Professor at Tilburg University (since 2011) and Postdoctoral Fellow at Saarland University (2008-2011). Her work bridges computational linguistics, cognitive science, and artificial intelligence, with contributions to understanding language learning mechanisms through models that integrate visual, auditory, and linguistic data. Education: PhD (university unspecified), with prior academic roles in Iran and Germany. Awards: CoNLL 2017 Best Paper Award, 2023 Outstanding Paper Award, NWO Aspasia Grant (2015), and NWO Natural Artificial Intelligence Grant (2015). Her research has been supported by grants such as the Dutch National Research Agenda-funded project on interpreting deep learning models for text and sound. Research Interests: Grounded language learning, interaction effects in language acquisition, and neural model interpretability. Key areas include multi-modal learning (e.g., linking speech to visual scenes), computational modeling of child language learning, and probing neural networks for linguistic knowledge. She co-organized workshops like BlackboxNLP (2018-2020) and has authored over 60 publications, including influential works on phonology encoding in neural models and gender disambiguation in machine translation. Teaching: Courses include Cognitive Models of Language Learning , Computational Linguistics , and Language, Cognition & Computation . She advises master's theses and leads projects in data science and AI. Lab/Team: Leads research on computational modeling, collaboration with interdisciplinary teams (e.g., with Grzegorz Chrupała, Afsaneh Fazly), and involvement in initiatives like the Interpreting Deep Learning Models for Text and Sound project.

Seyed Hadi MirvahediView profile

Assistant Professor

• Critical Sociolinguistics
• Sociology of Language
• Language Policy
• +7 more

Seyed Hadi Mirvahedi is an Assistant Professor in the Faculty of Arts at the University of Groningen, specializing in Critical Sociolinguistics and Language Policy. He holds a PhD in Applied Linguistics from Victoria University of Wellington (2014), followed by postdoctoral research at Nanyang Technological University (2017–2019) and the University of Oslo (2020–2023). His research focuses on multilingualism in globalized contexts, exploring family language policies, sociolinguistic ideologies, and the intersection of language with race, policy, and identity. Notable projects include studies on Afghan refugee families in Norway, Malay families in Singapore, and transnational families in Italy/China and India/Iran. Teaching includes undergraduate and graduate courses in sociolinguistics, multilingualism, and language policy within the Minorities & Multilingualism program. He supervises BA/MA theses on topics like language maintenance, education, and policy implementation. Publications span peer-reviewed journals (e.g., International Journal of Bilingualism , Language Policy ) and edited volumes, addressing themes such as demographic agency in family language policy, raciolinguistics in refugee contexts, and transnational language practices. His work integrates ethnographic methods with sociological theory to analyze multilingualism at micro- and macro-scales. Current research emphasizes phenomenological approaches to race and language in refugee families, as well as the role of demographic factors in family language decision-making. He advocates for interdisciplinary frameworks to understand language policies' real-world impacts in diverse settings.

Orhan AktasView profile

Professor

• Clinical Neuroimmunology
• Experimental Neuroimmunology
• Multiple Sclerosis
• +9 more

Prof. Dr. Orhan Aktas is a faculty member at the Department of Neurology , Heinrich-Heine-University Düsseldorf , leading the Molecular Neurology Research group. His work bridges clinical and experimental neuroimmunology. Research Focus: Multiple Sclerosis (MS), Neuromyelitis Optica Spectrum Disorders (NMOSD), MOG Antibody-Associated Disorders (MOGAD). Labs/Collaborations: Collaborates with the Albrecht group (visual pathway research), Thiology group (redox signaling), and Neuromyelitis Optica Study Group (NEMOS) . Clinical Work: Specializes in investigator-initiated trials (IITs) and novel therapy strategies for CNS inflammatory diseases. Experimental Work: Investigates redox-dependent histone deacetylases (sirtuins), neural progenitor cell homeostasis, and mechanisms of CNS regeneration using experimental autoimmune encephalomyelitis (EAE) models. Research Trends: His recent publications highlight biomarker development, therapeutic strategies for NMOSD/MOGAD, neurodegeneration mechanisms, and global epidemiology of rare CNS disorders.

• Human-AI Interaction
• Explainable AI
• Ethical AI
• +5 more

Chiara Natali is a PhD Student in Computer Science at University of Milan-Bicocca (2022-present) and a Visiting Research Fellow at the Dalle Molle Institute for Artificial Intelligence USI-SUPSI, supported by a Swiss Government Excellence Research Fellowship. She serves as a Lecturer for Interaction Design Lab and Human-Computer Interaction courses at University of Milano-Bicocca, and as a Tutor for Advanced Data Management and Decision Support Systems and Human-System Interaction courses across multiple Italian universities. Her educational background includes: MA in Politics, Philosophy and Public Affairs at University of Milan (2020-2022) Master's in Digital Communication Strategy at IED, Milan (2019-2020) BSc in International Politics and Government at Bocconi University, Milan (2016-2019) Natali's research centers on the complex relationship between humans and AI systems, with particular focus on Human-AI Interaction, Explainable AI (XAI), Ethical AI, and her signature concept of Frictional AI. She investigates the multidirectional effects of AI on human cognitive faculties, examining the tension between Augmentation and Deskilling. Her work explores how intentional design friction can serve as a debiasing strategy against Automation Bias, promoting more thoughtful human-AI collaboration while preserving human agency and critical thinking. Her publication record reveals a strong emphasis on practical applications of XAI in high-stakes domains like healthcare, with particular attention to medical decision-making processes. Her research consistently addresses the challenge of designing AI systems that support rather than replace human expertise, exploring how explanations impact accuracy in hybrid decision-making and how to measure technology dominance in AI-supported environments. Her significant contributions have been recognized with: Best Paper Award at the World Conference on Explainable Artificial Intelligence (2024) Best Doctoral Consortium Award at CEUR Workshop Proceedings (2023) Natali actively shapes her field through academic service, serving as PUBLICITY & PROCEEDINGS CHAIR for HHAI 2025 and organizing multiple workshops on Human-Centred Machine Learning, Algorithmic Authority, and Frictional AI. She also contributes to gender equality in STEM as a Science Ambassador for her institution's Gender Equality Plan and previously served as PhD co-representative at the Department Board. Her interdisciplinary approach extends into creative domains, where she is developing an Interactive AI Opera on 'The Garden of (Un)Earthly AI's' funded by the University of Edinburgh's Generative AI Laboratory, and has curated projects exploring Human-AI Music Co-Creation and live-coding music performances.