جست‌وجوی استاد و پژوهشگر

Kerstin Dautenhahnمشاهده پروفایل

استاد مهمان

• Human-Robot Interaction
• Social Robotics
• Assistive Technology
• +۷ مورد دیگر

Professor Kerstin Dautenhahn serves as Visiting Professor in Artificial Intelligence at the Centre for AI and Robotics Research, University of Hertfordshire. A pioneering researcher in socially assistive robotics, she directs therapeutic applications for children with autism and elderly care through human-robot collaboration frameworks. Her research spans Human-Robot Interaction, Social Robotics, and Robot-assisted therapy with expertise in autobiographic memory systems and narrative-driven social learning. Current work focuses on developing adaptive companion robots that evolve through longitudinal human engagement, particularly investigating trust dynamics during error recovery and continual learning mechanisms in therapeutic contexts. Recent publications (2022-2025) reveal concentrated exploration of robot curiosity frameworks, human perception of autonomous decision-making, and error consequence modeling. These studies establish foundational principles for socially intelligent robots that maintain user trust through transparent learning processes and context-aware adaptation. Professor Dautenhahn holds editorial leadership as founding Editor-in-Chief of Interaction Studies and Associate Editor for IEEE Transactions on Affective Computing , International Journal of Social Robotics , and Adaptive Behavior . She maintains Senior Membership in IEEE and active roles in ACM and SSAISB. She has supervised three graduate students and secured 23 research projects including Horizon 2020 initiatives BabyRobot (2016-2018) and SECURE (2015-2019), plus the KASPAR autism therapy project (2013-2018). Her funding portfolio demonstrates sustained focus on translating social robotics research into clinical and domestic applications through multi-institutional collaborations. As principal investigator for the Centre for AI and Robotics Research, she leads the KASPAR humanoid robot development team and coordinates the Robot House 2.0 facility. Her interdisciplinary teams integrate computer scientists, developmental psychologists, and clinical therapists to create evidence-based robotic interventions validated through longitudinal field studies.

Virpi Vellonenمشاهده پروفایل

مدرس

• Special Education
• Educational Technology
• Autism Spectrum Disorders
• +۳ مورد دیگر

Virpi Vellonen is a Lecturer at the University of Eastern Finland , affiliated with the Special Education department under the School of Educational Sciences and Psychology . Her work focuses on leveraging educational technology to support children with autism spectrum disorders (ASD) , emphasizing inclusive pedagogy and student well-being . She has led projects like Student Teacher Well-Being: Deepening Understanding and Building Support (STeWDUBS) , which explored stress and resilience in teacher training. Research Interests : Designing technology-enhanced learning environments for ASD students, strength-based educational models , and DIY (do-it-yourself) educational tools . Key Contributions : Validating inclusion measures in Finnish higher education, analyzing narrative research in teacher well-being, and pioneering participatory design with ASD children and families. Email : virpi.vellonen@uef.fi

• Technology-Enhanced Learning
• Accessibility & Universal Design
• Assistive Technology
• +۷ مورد دیگر

Charalampos Karagiannidis is a Professor at the University of Thessaly (UTH) in the School of Educational Design (SED), Department of Information and Communication Technologies in Learning and Special Education. He has been affiliated with UTH since 2005 and previously worked at the University of the Aegean, ITI-CERTH, and ICS-FORTH. His academic roles include chairing the TeDISABLE Special Interest Group (SIG) of the IEEE TCLT. Education: BSc in Mathematics, Aristotle University of Thessaloniki MSc in Information Technology, University of London PhD in Electronics Engineering, University of Kent, UK Research Focus: Technology-Enhanced Learning (TEL) Accessibility & Universal Design Assistive Technologies for Special Needs Augmented Reality (AR) and Gamification in Education Educational Robotics for Inclusion Cognitive Assessment Technologies for Aging Populations Publications Trends: Recent work emphasizes ICT applications for autism spectrum disorders (ASD), inclusive robotics, MOOC design for K-12 education, and digital tools to address mild cognitive impairment. His research often bridges theoretical learning models with practical software development, particularly for marginalized populations. Awards & Recognition: No explicit awards listed, but active participation in 150+ publications, editorial roles, and international conference committees demonstrates peer recognition. Grants & Labs: Involved in projects like the TeDISABLE SIG and development of tools such as the Virtual Learning and Social Stories for Autism (VLSS) system . Collaborates on EU-funded initiatives addressing aging populations and cognitive assessment via digital tools.

Tim Welshمشاهده پروفایل

استاد

• Perception
• Cognition
• Cognitive Neuroscience
• +۶ مورد دیگر

Dr. Timothy Welsh is a full-time Professor in the Action & Attention Lab at the University of Toronto's Faculty of Kinesiology & Physical Education , where he also serves as Associate Dean, Research since 2023. With cross-appointments from the Faculty of Physical Education and Health, his work bridges cognitive neuroscience and motor behavior research. Academic Background Ph.D. in Human Biodynamics (McMaster University, 2002) M.Sc. in Human Biodynamics (McMaster University, 1999) B.P.H.E. in Physical and Health Education (University of Toronto, 1997) Dr. Welsh's research explores neural mechanisms of goal-directed actions across typical and neurodiverse populations. His lab investigates joint action dynamics , self-objectification effects on motor performance , and cross-reality sensorimotor adaptation , with significant focus on autism and developmental coordination disorder. Recent publications (2024-2025) reveal systematic differences in motor imagery between autistic and non-autistic adults , gender-specific learning patterns , and cross-modal sensory integration challenges in mixed reality environments . These studies demonstrate his lab's expertise in combining behavioral experimentation , EEG analysis , and computational tool development like TAT-HUM. Scientific Recognition Franklin Henry Young Scientist Award Early Distinguished Career Award (NASSP) Outstanding Graduate Supervision Award As principal investigator on 15 active grants (2015-2027), including projects on digital health platforms for concussion rehabilitation and AI-assisted VR learning modules , Welsh's work impacts both basic science and applied interventions. His lab trains students at all levels through KPE 362 (undergraduate) and KIN 5514 (graduate) courses.

Martin Wulf Gerdesمشاهده پروفایل

دانشیار

• eHealth
• Artificial Intelligence
• Machine Learning
• +۹ مورد دیگر

Martin Wulf Gerdes is an Associate Professor at the Department of Information and Communication Technology, University of Agder, Norway. With a Ph.D. in eHealth and over two decades of experience in telecommunications and healthcare technology research, he focuses on developing user-friendly, interoperable eHealth solutions using ICT and IoT. His career spans roles at Ericsson Eurolab and academic leadership in Norway. Education: M.Sc. equivalent in General Electrical Engineering (1998) from RWTH Aachen, emphasizing ICT. Ph.D.: Information and Communication Technologies with eHealth specialization (2019) from University of Agder. Research Interests: Gerdes explores AI-driven decision support systems, distributed eHealth infrastructure, telemedicine, and assistive technologies for chronic disease management. His work bridges IoT, data privacy, and user-centered design in healthcare robotics. Teaching: Since 2014, he has taught at bachelor's and master's levels, currently leading courses in Communication & Cooperation, Technology Understanding, and seminar projects in eHealth. Scientific Publications: His 15 most recent articles (2020-2024) span AI in dental radiology, blood glucose prediction, digital twins, and ethical considerations in healthcare algorithms. Topics include IoT integration, data privacy, and pandemic analytics.

Scott Andrew Brownمشاهده پروفایل

مدرس

• User Experience (UX) Design
• Inclusive Design
• Co-Design
• +۶ مورد دیگر

Dr Scott Andrew Brown is a Lecturer at UNSW Arts, Design and Architecture (ADA), specializing in inclusive design practices that center neurodiverse communities. Based in the School of Art & Design, he employs user experience (UX) and interaction design methods to co-create adaptive technologies and multisensory environments with marginalized groups, particularly autistic individuals and their families. Education: PhD in Art, Design and Media (UNSW Sydney) Bachelor of Digital Media with First Class Honors (UNSW Sydney) His research focuses on redefining assistive technology through strengths-based approaches, emphasizing co-production and community-led design. He leads the assistive technology research focus in the Creative Robotics Lab, where he develops responsive sensory spaces and explores social robots for therapeutic applications. Recent projects include evaluating the effectiveness of 'quiet rooms' for autistic children at sporting events and creating adaptive technologies for social engagement. He also founded the Neurodiversity + Embodiment research group and organized the inaugural Autism MeetUp at UNSW Art & Design. While no scientific awards are documented in the provided texts, his work intersects health, disability, and design to advocate for systemic change in technology and service development.

Ryoma Hattoriمشاهده پروفایل

استادیار

• Reinforcement Learning
• Decision Making
• Number Sense
• +۴ مورد دیگر

Ryoma Hattori is an Assistant Professor at the University of Florida, based at the UF Scripps Biomedical Research campus in Jupiter, FL. His laboratory, the Hattori Lab, focuses on neural mechanisms underlying cognitive functions, learning, and their disruption in autism. Dr. Hattori received his educational degrees from prestigious institutions: Ph.D. in Molecular and Cellular Biology from Harvard University (2016) A.M. in Molecular and Cellular Biology from Harvard University (2012) B.S. in Biophysics and Biochemistry from the University of Tokyo (2010) His research interests center on decision making, reinforcement learning, and number sense, using systems and computational approaches. The lab employs techniques such as in vivo 2-photon imaging, optogenetics, virtual reality behaviors, and machine learning to investigate neural activity and plasticity dynamics in mice. A significant focus is understanding how these processes are impaired in autism spectrum disorder. Analysis of his recent publications reveals a strong emphasis on computational neuroscience and neural circuit mechanisms. His work spans from developing advanced imaging and analysis tools to uncovering fundamental principles of value coding and meta-reinforcement learning, with applications in both basic neuroscience and artificial intelligence. Dr. Hattori has received numerous scientific awards, including: Outstanding Mentor Award 2025 from Society of Research Fellows, UF Scripps SFARI Bridge-to-Independence Award 2022-Current from Simons Foundation Warren Alpert Distinguished Scholar Award 2021-2024 from Warren Alpert Foundation Postdoctoral Grant Award 2021-2022 from The KANAE Foundation And several fellowships during his postdoctoral and graduate training. As a principal investigator, Dr. Hattori leads multiple active grants, including the Shenoy Undergraduate Research Fellowship in Neuroscience (2025-2026) and a project on "Neural activity and plasticity dynamics for reinforcement learning in autism" funded by the Simons Foundation. His mentorship has been recognized with the Outstanding Mentor Award. The Hattori Lab is a dynamic research group utilizing cutting-edge technologies to explore the neural basis of cognition, with a particular interest in translational implications for autism and related disorders.

• Informatics Engineering
• Serious Games
• Virtual Reality
• +۱۰ مورد دیگر

Hugo Barbosa is an active faculty member in Informatics Engineering, affiliated with Lusófona University – Porto University Center and Porto Polytechnic (IPP). He teaches both theoretical and practical aspects of informatics and collaborates with the Social Innovation and Interactive Systems (SIIS) R&D unit at ISEP, focusing on applied research in interactive technologies for education and healthcare. Master’s in Informatics Engineering – Graphics and Multimedia Systems Bachelor’s in Informatics Engineering – Computers and Systems Professional Aptitude Certificate (CAP) PhD candidate in Informatics Engineering at FEUP (60 ECTS completed) Senior Member, Portuguese Engineers Association (OE) Hugo Barbosa's research lies at the intersection of technology and education, with a strong emphasis on serious games , virtual reality , and interactive simulation for training and rehabilitation. His work explores how adaptive digital environments can enhance learning, particularly in medical and engineering contexts, and investigates the integration of cybersecurity and network optimization in these systems. He focuses on user-centered design, aiming to create accessible and effective solutions for diverse populations, including the elderly and individuals with mobility or cognitive challenges. His publication record from 2009 to 2020 reveals a consistent trajectory in applied informatics, with a recent concentration on serious games for rehabilitation , cybersecurity in healthcare , and digital privacy . These works reflect a multidisciplinary approach, bridging computer science with health sciences and education. His research often addresses real-world challenges such as data protection in national health systems, adaptable therapeutic environments, and immersive training simulations. Hugo Barbosa has been recognized as a Senior Member of the Portuguese Engineers Association (OE), a professional distinction reflecting his contributions and expertise. While no additional awards are explicitly mentioned, his active participation in conferences and publications in research journals underscores his scholarly engagement. He is involved in research advising and project development through his work with SIIS at ISEP/IPP, though no named students are listed. His academic and professional activities suggest involvement in research grants and collaborative projects, particularly within R&D units focused on social innovation and interactive systems. His dual teaching role across institutions also indicates a broad educational impact. Hugo Barbosa is actively involved with the Social Innovation and Interactive Systems (SIIS) research unit at ISEP, Porto Polytechnic. This lab focuses on developing innovative interactive applications for social good, particularly in healthcare, education, and rehabilitation. His work there involves designing and evaluating multimedia and simulation-based tools that support learning and therapy, leveraging technologies like serious games and virtual environments.

• Human-Computer Interaction
• Automotive Engineering
• Virtual Reality
• +۴ مورد دیگر

Marine Capallera is a Researcher affiliated with the HumanTech - Technology for Human Wellbeing Institute at the University of Applied Sciences and Arts Western Switzerland (HES-SO). Her work focuses on Human-Vehicle Interaction (HVI), Virtual Reality (VR) applications for education and disability support, and driver state monitoring using physiological signals. She holds a PhD in Informatics from the University of Fribourg (2023), where her thesis addressed adaptive multimodal systems for driver supervision in automated vehicles. Her research spans projects like AdVitam (funded by Hasler Foundation), which explores collaborative driver-vehicle interaction models, and Pro-GIS, a VR initiative enabling social skills training for youth with intellectual disabilities. She collaborates with institutions like EPFL+ECAL Lab and the University of Fribourg, contributing to datasets on driver physiology and automated driving behavior. Key themes include: 1) Designing HVI systems that maintain driver situation awareness via ambient interfaces and physiological feedback; 2) Developing inclusive VR solutions for special needs populations; 3) Applying machine learning to classify driver states (fatigue, workload) using biometric data. Recent work emphasizes multimodal interaction in automated vehicles and cross-modal emotion integration in VR environments. Grants: Hasler Foundation-funded AdVitam project (2018-2021) Teams: Collaborates with Elena Mugellini, Quentin Meteier, and Omar Abou Khaled in automotive HVI research Labs: Leads VR training modules for nursing education and disability support

Susanne Gerberمشاهده پروفایل

استاد

• Bioinformatics
• Computational Genomics
• Systems Biology
• +۲ مورد دیگر

Susanne Gerber is a Professor at iDNA and Adjunct Director at the Institute of Molecular Biology (IMB), Johannes Gutenberg University Mainz (JGU), affiliated with the Faculty of Biology's Bioinformatics department. Her academic journey includes an Assistant Professorship in Bioinformatics at JGU (2015-2020) and postdoctoral research at Università della Svizzera italiana. Her educational background comprises a PhD in Biophysics from Humboldt University of Berlin (2011), an M.Sc. in Bioinformatics from Free University of Berlin and Konrad Zuse Institute (2007), and a B.Sc. in Bioinformatics from Free University of Berlin and Max Planck Institute (2004). Dr. Gerber's research spans Bioinformatics, Computational Genomics, Systems Biology, Molecular Evolution, and Neuroinformatics , focusing on developing computational frameworks for genomic analysis, neurodegenerative disease modeling, and microbiome interactions. Her work integrates machine learning with multi-omics data to address complex biological questions in molecular evolution and neural systems. Analysis of her 15 most recent publications (2024-2025) reveals a strong emphasis on nanopore sequencing applications for RNA modification detection, deep learning frameworks for genomic data enhancement, and neurobehavioral modeling using AI-driven approaches. Key thematic clusters include epitranscriptomics, chromatin dynamics, and computational psychiatry with ethical AI considerations. Her methodological innovations include tools like COMET for network analysis, CCUT for chromatin data enhancement, and ModiDeC for RNA modification classification, demonstrating translational impact across genomics and neuroscience. Dr. Gerber leads research groups at IMB and iDNA focusing on computational genomics, advising students in bioinformatics and securing grants for AI-driven genomic analysis. Her labs develop open-source tools for nanopore data processing and neuroimaging analysis, fostering collaboration between computational and experimental biologists.

• Human-Computer Interaction
• User Experience (UX)
• Human-Centered Artificial Intelligence
• +۴ مورد دیگر

Grazia Ragone is a Postdoctoral Researcher at the IVU Laboratory , Department of Computer Science, University of Bari Aldo Moro. Holding a PhD in Human-Computer Interaction from the University of Sussex and a Master's in Psychological Research Methods, she specializes in Usability, User Experience (UX), and Human-Centered AI , focusing on systems that integrate human factors for enhanced technology interaction. Academic Background: PhD in Human-Computer Interaction (University of Sussex, UK), Master’s in Psychological Research Methods (University of Bari) Key Research Areas: Social Motor Synchrony, Child-Computer Interaction, Trustworthy AI, Embodied Interaction, Autism Research, Usability Engineering Her recent work on the Future Artificial Intelligence Research (FAIR) project develops new metrics for human-AI symbiosis. She has presented at major conferences like Interaction Design and Children (IDC) and Advanced Visual Interfaces (AVI) , with publications in ACM Transactions and Springer LNCS. Scientific awards include the Microsoft Research Best Student Research Competition (2021) and IDC Conference Best Work in Progress (2020). Grazia actively contributes to academic governance as a member of ACM SIGCHI and SIGCHI Italy , and has organized international conferences like INTERACT 2021. She has delivered workshops on Child-Centered AI at institutions including the University of Delft and Sussex University.

Lizbeth Olivia Escobedo Bravoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Ubiquitous Computing
• Cognitive Assistive Technology
• +۱۵ مورد دیگر

Lizbeth Olivia Escobedo Bravo is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, where she conducts research at the intersection of Human-Computer Interaction, Ubiquitous Computing, and Cognitive Assistive Technology. Her work focuses on developing and evaluating technology to improve the quality of life for vulnerable populations, particularly children with autism, pregnant women, and individuals with cognitive disabilities. Her educational background includes a BS and PhD from Universidad Autónoma de Baja California (UABC), an MSc from Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), and a postdoctoral fellowship in Biomedical Informatics at UC San Diego. BS – Universidad Autónoma de Baja California (UABC) PhD – Universidad Autónoma de Baja California (UABC) MSc – Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE) Postdoc – University of California, San Diego (Biomedical Informatics) Her research interests include Human-Computer Interaction (HCI), Ubiquitous Computing, Cognitive Assistive Technology (CAT), Mobile Technologies, Accessible Computing, and Children-Computer Interaction. She emphasizes interdisciplinary collaboration across computer science, psychology, education, medicine, and design. The 15 most recent articles reflect a consistent focus on assistive technologies for neurodevelopmental and cognitive challenges. Key themes include early detection of developmental delays (ActEarly), handwriting assessment (PenSando), autism support (MOBIS, MOSOCO, FarmerKeeper, SATORI), maternal health (PREGO), and ADHD assistance (SmarTasko). These works span mobile, augmented reality, and sensor-based systems, with strong emphasis on usability, accessibility, and real-world deployment across diverse cultural and economic contexts. Scientific contributions and recognitions include: Active research leadership in multiple assistive technology projects Interdisciplinary collaborations with institutions such as Georgia Tech, UC Irvine, UC San Diego, MSU, Chapman University, and CREATE-NET Industry partnerships with IMSS, Pasitos A.C., ClubLia Kinder, EdNinja Inc., and others Focus on technology for social good and inclusive design She is actively involved in mentoring and advising, currently recruiting PhD and Master’s students for her research group. Her work has been supported through academic and industry collaborations, though specific grants are not listed. She previously worked in the software industry as a project manager and COO, bringing leadership experience to her academic role. Lizbeth leads a dynamic research lab focused on developing and deploying accessible, user-centered technologies. Her team works on projects such as ActEarly, PenSando, and SATORI, often involving cross-border studies and community engagement. The lab emphasizes real-world impact, ethical design, and scalability of solutions, particularly for underserved populations in Latin America and North America.

Vicki Knightمشاهده پروفایل

استادیار

• Applied Behaviour Analysis
• Autism Spectrum Disorder
• Developmental Disabilities
• +۵ مورد دیگر

Vicki Knight is an Assistant Professor in Special Education at the University of British Columbia , with over 20 years of experience in autism spectrum disorder (ASD) education. She serves as Director of the Centre for Interdisciplinary Research and Collaboration in Autism (CIRCA) and works closely with students across undergraduate, graduate, and doctoral levels. Research Focus: Promoting STEM learning for students with ASD and developmental disabilities Key Methods: Single-case research, applied behavior analysis, technology-based interventions With over 40 peer-reviewed publications, Dr. Knight’s work evaluates inclusion strategies in STEM and disseminates evidence-based practices. She contributes to editorial boards of journals including the Journal of Special Education and Focus on Autism and Other Developmental Disabilities . Selected Scientific Contributions: 2019 Research Award, Council for Exceptional Children Division of Autism and Developmental Disabilities Board Certified Behavior Analyst (BCBA) credential Her publications highlight video prompting, coding education, and general curriculum access. She trains educators internationally and explores collateral benefits of inclusive education environments.

David Cohenمشاهده پروفایل

استاد

• Child and Adolescent Psychiatry
• Autism Spectrum Disorders
• Neurodevelopmental Disorders
• +۷ مورد دیگر

David Cohen is a University Professor and Hospital Practitioner affiliated with the ACIDE team at AP-HP (Assistance Publique - Hôpitaux de Paris). His research spans child and adolescent psychiatry , autism spectrum disorders , and neurodevelopmental conditions , with a focus on integrating social robotics and affective computing into clinical interventions. His recent work explores AI-based analysis of child-therapist interactions , ICT applications for neurodevelopmental disorders , and robot-assisted therapies . Key publications include systematic reviews on depression assessment tools in autism, longitudinal studies of emotional interventions, and collaborative research on human-robot interaction in clinical contexts. David Cohen collaborates extensively with teams across clinical psychology , robotics , and public health , contributing to journals like Journal of Autism and Developmental Disorders , Research in Developmental Disabilities , and Frontiers in Psychiatry . No specific awards, grants, or educational credentials are detailed in the provided texts.

Sunwook Kimمشاهده پروفایل

دانشیار

• Human Factors Engineering
• Ergonomics
• Postural Control
• +۳ مورد دیگر

Sunwook Kim is an Associate Professor in the Department of Industrial and Systems Engineering at Virginia Tech, part of the College of Engineering. His work focuses on human factors engineering, ergonomics, and occupational biomechanics with a strong emphasis on exoskeleton technology and neurodiverse collaboration. Kim holds a Ph.D. in Industrial & Systems Engineering from Virginia Tech. His research explores how exoskeletons impact physical demands and safety in construction, manufacturing, and healthcare settings. Notable studies include evaluating passive and powered exoskeletons for tasks like lifting, overhead work, and gait assistance, alongside investigating their effects on postural control, muscle activity, and user acceptance. He also examines neurodiverse team dynamics using advanced methodologies like Hidden Markov Models and physiological signal analysis. Kim's work bridges human performance, assistive technology, and workplace safety, with applications in falls prevention, biomechanical monitoring, and ergonomic intervention design. His interdisciplinary approach integrates machine learning, sensor technologies, and biomechanical modeling to address real-world challenges. His recent articles highlight trends in exoskeleton adoption factors, human-robot collaboration, and motor adaptation during exoskeleton use. Ongoing research includes fall monitoring systems using radar sensing and feature-resonated neural networks, reflecting his commitment to advancing both theoretical and applied human factors engineering.