جست‌وجوی استاد و پژوهشگر

Benedikt Ehingerمشاهده پروفایل

استادیار

• Computational Cognitive Science
• Visual Cognitive Science
• EEG Analysis
• +۵ مورد دیگر

Benedikt Ehinger is a Tenure-Track Professor for Computational Cognitive Science at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. His research bridges cognitive neuroscience, computational modeling, and visualization techniques to understand visual perception and decision-making processes. Education 2018: PhD in Cognitive Science from University of Osnabrück with thesis "Predictions, Decisions and Learning in the visual sense" 2013: Master of Science in Cognitive Science from University of Osnabrück with thesis "Filling in Blind-Spots: A psychophysical and an EEG study" 2011: Bachelor of Science in Cognitive Science from University of Osnabrück with thesis "Electrophysiological Correlates of Category Learning" Research Interests Ehinger's research focuses on the intersection of visual cognitive science, computational modeling, and neuroimaging techniques. His work primarily investigates predictive coding mechanisms in visual perception, statistical learning in visual scenes, eye movement control, method development for combined EEG and eye-tracking analyses, visual completion phenomena like the blind spot, and category learning and neural plasticity. His approach combines behavioral experiments, EEG recordings, eye-tracking, and advanced statistical modeling to uncover the computational principles underlying human visual cognition. Publication Trends Ehinger's publication record shows a clear evolution from foundational work on visual perception and category learning toward methodological innovations in neuroimaging analysis. His early work focused on visual completion phenomena, category learning, and melanopsin modeling. More recently, he has pioneered techniques for analyzing combined EEG and eye-tracking data, developing toolboxes like "unfold" that address critical challenges in temporal overlap correction and regression-based analysis. His research demonstrates a consistent thread of applying computational approaches to understand visual cognition while simultaneously advancing the methodological toolkit of cognitive neuroscience. Scientific Contributions Development of the "unfold" toolbox for overlap correction and regression-based EEG analysis Creation of the EEGVIS toolbox for EEG visualization Establishment of comprehensive eye-tracking test batteries for validating mobile eye-tracking devices Innovative approaches to modeling fixation durations and eye movement patterns Research Environment Ehinger leads the Computational Cognitive Science group within the Institute for Visualization and Interactive Systems at the University of Stuttgart. His work is situated at the intersection of cognitive science, neuroscience, and computer science, collaborating with researchers across these disciplines. His lab utilizes behavioral experiments, EEG, eye-tracking, and computational modeling to investigate visual cognition, with emphasis on open science practices and methodological transparency.

Jonathan San Diegoمشاهده پروفایل

دانشیار

• Dental Education
• Health Informatics
• Technology Enhanced Learning
• +۴ مورد دیگر

Jonathan San Diego serves as a Reader in Technology and Health Informatics Education at the Centre for Dental Education, King's College London. His academic work bridges dental education, health informatics, and technology-enhanced learning methodologies. With over 348 citations and 111 research outputs, he has established himself as a leading researcher in the application of digital technologies in dental education. Dr. San Diego's research interests center on the integration of advanced technologies into dental education, with particular focus on haptic simulation systems, virtual reality applications, and blended learning methodologies. His work explores how technology can enhance clinical skills acquisition, improve educational outcomes, and address challenges in dental professional development. He investigates social dimensions of technology use, including social bias interventions related to visible facial differences and digital professionalism in healthcare contexts. His fingerprint analysis reveals strong expertise in Undergraduate Student Computer Science (100%), Workstation Computer Science (85%), Teaching and Learning Computer Science (79%), Dental Education (76%), Digital Media (61%), London-based research (60%), learning design (53%), and Motor Skills (51%). His recent publications demonstrate a clear trajectory toward increasingly sophisticated applications of technology in dental education, with growing emphasis on competency-based learning design and the social implications of digital media in healthcare education. The research output shows evolution from early work on haptic simulation systems to current investigations of blended learning transitions, social bias interventions, and comprehensive risk analyses of digital media in dental professions. British Education Training and Technology Award (2012) Economic and Social Science Research Council Research Award (2012) KingsCAT: Capture and Analysis Tool for Social Media Research (2024) Medical Futures Award Best Innovation in Dentistry (2011) Medical Futures Award Best Innovation in Health Care (2011) As Principal or Co-Investigator on eight major research projects, Dr. San Diego has secured funding from prestigious organizations including NIHR National Institute For Health & Care Research, Innovate UK, Technology Strategy Board, and the European Commission. Current projects include INCLUSIVE: Improving knowledge, skills, attitudes, and behaviours for LGBTQ+ maternity care (2025-2028), where he serves as Co-Investigator. His earlier projects include FundamentalVR (2018-2019), where he was Primary Investigator developing a surgery simulation platform using haptic feedback, and iPostureSense (2014-2015), a wearable sensor system for musculoskeletal disease prevention. Dr. San Diego's work extends to laboratory development and team leadership, particularly through his involvement with KingsCAT (Capture and Analysis Tool for Social Media Research), which supports interdisciplinary social media research at King's College London. His research teams span multiple disciplines including computer science, dental education, psychology, and health informatics, reflecting his commitment to interdisciplinary approaches in solving complex educational challenges.

Jens Palkowitsch-Kühlمشاهده پروفایل

مدرس

• Religious Education
• Digital Media in Religious Contexts
• Media Education
• +۴ مورد دیگر

Dr. Jens Palkowitsch-Kühl serves as a Lecturer at the Chair of Protestant Theology II with a focus on Religious Education and Didactics of Religious Education within the Institute for Protestant Theology and Religious Education at Julius-Maximilians-University Würzburg. He maintains concurrent academic appointments including Acting Professor of Ethics and Education at the Evangelical University of Applied Sciences Darmstadt (2023-2024), and teaching positions at Ludwigsburg University of Education and Protestant University of Darmstadt. His professional roles extend to digital leadership positions within the Evangelical Lutheran Church in Bavaria as E-Learning Coordinator and former Digital Education Officer. Bachelor of Arts in Social Work with community education/diaconal work qualification (Evangelical University of Applied Sciences Darmstadt, 2008-2012) Master of Arts in Religious Education - Protestant Religious Education (Evangelical University of Applied Sciences Darmstadt, 2012-2013) PhD in Religious Education with dissertation on 'Religious education teachers in digitalization processes' (2015-2020) Dr. Palkowitsch-Kühl's research focuses on the intersection of digital media and religious education, with particular emphasis on religious socialization in mediatized spaces, digital media education, and ICT applications in religious contexts. His work bridges theological inquiry with practical educational applications, examining how emerging technologies reshape religious learning environments and experiences. He investigates how youth navigate religious identity formation within digital landscapes and develops pedagogical approaches for integrating new media into religious instruction. His recent publications reveal a clear trajectory toward increasingly sophisticated digital applications in religious education, with growing attention to artificial intelligence, virtual reality, and game-based learning. The research demonstrates a methodological shift from analyzing existing digital media integration toward developing and testing innovative pedagogical frameworks like the reliGlobal approach and VR-based learning environments. His work consistently addresses both theoretical foundations and practical implementation challenges in religious education contexts. Dr. Palkowitsch-Kühl actively contributes to the RELab digital research initiative and the Center for Anti-Semitism Education, collaborating with colleagues like Prof. Dr. Ilona Nord on projects examining religious education in mediatized worlds. His interdisciplinary approach connects religious studies with media theory, educational psychology, and digital humanities to address contemporary challenges in religious education. His teaching portfolio spans multiple institutions and covers topics including 'Media & Methods in Religious Education,' 'Digital Games in Religious Education,' and 'Religious Education Excursions' focused on VR, gamification, and digital socialization. He has developed specialized courses on serious moral games, AI applications, and digital media competencies for religious educators, reflecting his commitment to preparing future religious educators for digital contexts.

• Socio-Spatial Change
• Urban Planning
• Science-Technology-Society
• +۴ مورد دیگر

Assoc. Prof. Dr. Aslı Ulubaş Hamurcu is an Associate Professor at the Department of Urban and Regional Planning, Faculty of Architecture, Istanbul Technical University . She graduated magna cum laude from Middle East Technical University in 2013 and earned her Ph.D. from Istanbul Technical University in 2021, focusing on socio-spatial change influenced by socio-technological factors. Her research spans urban planning , socio-spatial theory , and sustainable urban conservation , with a particular emphasis on digitalization's impact on urban spaces. She has published extensively on topics like the metaverse , COVID-19's spatial patterns , and smart cities . She has received multiple awards, including the YÖK Doctoral Thesis of the Year Award (2022) and TÜBİTAK UBYT grants (2021–2023). Her work bridges science-technology-society interactions and urban policy .

• Data Visualization
• Visual Analytics
• Big Data Analysis
• +۱۲ مورد دیگر

Professor Jang Yoon is a faculty member in the Department of Computer Engineering at Sejong University, South Korea. He currently holds the position of Daeyang Distinguished Professor and leads the Data Visualization Lab. His academic journey includes postdoctoral research at the Swiss National Supercomputing Center (2007-2009), ETH Zurich (2009-2011), and Purdue University (2011-2012). His educational background includes a Bachelor's degree from Seoul National University in Electrical Engineering (2000), and Master's and Doctoral degrees from Purdue University in Electrical and Computer Engineering (2002 and 2007). His academic progression at Sejong University shows his appointment as Assistant Professor (2012-2016), Associate Professor (2016-2022), and Professor (2022-present). Professor Jang's research spans multiple domains within data science and visualization, with primary focus on data visualization, visual analytics, and their applications in various domains. His work bridges theoretical computer science with practical applications in traffic analysis, healthcare, and smart city infrastructure. He has developed innovative techniques for spatiotemporal data visualization, volume rendering, and causal analysis in complex datasets. His recent publications (2023-2025) demonstrate a strong focus on integrating deep learning with visualization techniques, particularly in traffic analysis, volume rendering, and large language model interpretability. His work shows a clear trajectory toward combining causal inference with visual analytics, applying these methods to urban traffic systems, structural health monitoring, and public relations analysis. Professor Jang has served in numerous leadership roles in major visualization conferences including IEEE VIS, IEEE PacificVis (as General Chair in 2023), EuroVis, and HCI Korea conferences. His service contributions include program committee memberships and chair positions across multiple prestigious conferences in the visualization field. His laboratory work focuses on practical applications of visualization techniques with numerous patents registered in Korea. His research has resulted in multiple practical systems for traffic analysis, VR sickness detection, data quality improvement, and eye-tracking applications. The lab maintains strong industry connections through applied research projects addressing real-world problems.

Toni Susinمشاهده پروفایل

دانشیار

• Numerical Methods
• Physically-Based Simulation
• Computer Graphics
• +۴ مورد دیگر

Toni Susin is an Associate Professor of Applied Mathematics at UPC-BarcelonaTech. He leads the Dynamic Simulation Lab, part of the ViRVIG research group in Barcelona. His research focuses on numerical methods, physically-based simulation, and applications in computer graphics and biomechanics. Key research areas include Physically-Based Animation Surgical Simulation Biomechanical Applications Image-Based Modeling Fluid Animation Techniques His recent work spans microbiome data analysis, sports performance tracking, and biomedical simulations. While no scientific awards are listed, his career includes founding three tech companies and mentoring numerous PhD/Master's students in computational methods and simulation technologies.

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +۹ مورد دیگر

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

• Health and Behavioral Sciences
• Behavioral Epidemiology
• Clinical Psychology
• +۳ مورد دیگر

Koichiro Oka is a Professor at the Faculty of Sport Sciences , Waseda University . His research integrates health and behavioral sciences with behavioral epidemiology , focusing on how built environments influence cardiometabolic health , mental well-being , and physical activity across age groups. Research Themes : Urban design for active living, sedentary behavior epidemiology, digital health interventions, and aging-related mobility. Methodological Expertise : Accelerometry, space syntax analysis, DNA methylation aging clocks, and cross-sectional/cohort studies. Recent Publications address: Virtual audit tools for urban park redesign (2025) VR exergames in office worker health management (2025) Place attachment and urban stress reduction (2024) Metabolic syndrome in relation to fitness and BMI (2024)

• Human-Computer Interaction
• Interaction Design
• User Interface Design
• +۴ مورد دیگر

Tomoko Hashida is a Professor at Waseda University's School of Fundamental Science and Engineering , where she explores the intersection of Human-Computer Interaction , Interactive Media , and Speculative Design . Her work bridges art , technology , and psychological insight , focusing on interfaces that challenge conventional human-environment relationships. Education: PhD in Interdisciplinary Information Studies (The University of Tokyo), MSc in Interdisciplinary Information Studies (The University of Tokyo), BA in Musicology (Tokyo University of the Arts) Hashida's research centers on redefining interaction through systems that reveal hidden aspects of familiar environments. Key projects include: Floatio : Levitating tangible interfaces rapoptosis : Self-destructive prototyping Photochromic Sculpture : Light-reactive 3D displays Peaflet : Personalized museum souvenirs atmoRefractor : Heat haze-controlled spatial visuals Her publications across ACM , SIGGRAPH , and Virtual Reality Society of Japan journals demonstrate a commitment to innovative display technologies and human-centric design . Awards like the Funai Academic Award and Entertainment Computing Best Paper recognize her contributions to interactive experiences . She has contributed to 15 major publications between 2015-2019, spanning disciplines from computer science to art-science synthesis .

• Socially Assistive Robotics
• Assistive Robotics
• Rehabilitation Robotics
• +۲ مورد دیگر

Marcela Munera is an Associate Professor in Assistive Robotics at the University of the West of England (UWE Bristol). Her research focuses on robotic devices for rehabilitation, human-robot interaction, biomechanics, and movement analysis, with a particular emphasis on user-centered design approaches. Bioengineer, Universidad de Antioquia (Colombia) MSc in Mechanics and Materials, Ecole Nationale de Metz (France) PhD in Mechanics and Biomechanics, Université de Reims Champagne Ardenne (France) Key research areas include socially assistive robotics, rehabilitation robotics, and biomechanical modeling. She has led projects involving exoskeletons, smart walkers, and wearable sensors, often integrating participatory design and multimodal feedback mechanisms. Her publications highlight interdisciplinary applications in neurological rehabilitation (e.g., stroke, Parkinson's disease), autism therapy, and occupational health. Recent work explores smart upper-limb exoskeletons for construction workers, stress classification via novel sensors, and adaptive control systems for mobility assistance. FEDER, Region Champagne Ardenne Doctoral Grant Her doctoral research focused on industrial biomechanical assessments for sports performance and injury prevention, later expanding to human-centered rehabilitation robotics. She has collaborated on projects involving brain-computer interfaces, serious games, and cloud robotics frameworks like PoundCloud.

• Collaborative Learning
• Uncertainty Management in STEM
• Feedback Mechanisms
• +۱۲ مورد دیگر

Chandan Dasgupta is an Assistant Professor in the Educational Technology department at Indian Institute of Technology Bombay. He holds a Ph.D. in Learning Sciences from the University of Illinois at Chicago and a Master’s in Human-Computer Interaction from Georgia Institute of Technology. His research focuses on collaborative learning, uncertainty management in STEM, and distributed creativity in makerspaces. Education: Ph.D. in Learning Sciences, University of Illinois at Chicago M.S. in Human-Computer Interaction, Georgia Institute of Technology Dasgupta designs technology-enhanced environments for STEM education, emphasizing embodied learning, inquiry-based pedagogy, and artificial intelligence integration. His recent work explores AR/VR applications for spatial reasoning and critical action curricula in engineering education. Analysis of his 88 research outputs reveals trends in collaborative learning technologies (19 publications in 2023-2025), uncertainty management frameworks (13 papers), and makerspace creativity (7 studies). Key technologies include augmented reality (GeoSolvAR, MathReality), virtual reality conversational agents, and adaptive learning systems. Dasgupta actively contributes to EdTech policy discussions in India, advocating for contextualized solutions aligned with UN Sustainable Development Goals. His collaborations span institutions in the USA (Purdue, Georgia Tech) and India (IIT Bombay, Tulna partnership).

• Virtual Reality
• Scientific Visualization
• Computer Graphics
• +۴ مورد دیگر

Aleksandr Zagarskikh is an Associate Professor at the Game Development School of ITMO University, specializing in virtual reality, scientific visualization, and high-performance computing. He has led projects in quantum chemistry visualization, flight simulators, and urban simulation technologies. Developed real-time graphics systems for ultra-realistic image synthesis Created high-performance network protocols for distributed visualization Current research focuses on big data decision-making in finance and multiscale urban modeling His work spans predictive modeling, GPU optimization, and cloud-based infrastructure visualization, with publications in Procedia Computer Science. He teaches courses in game technologies, VR, and scientific computer graphics.

Jill Bennettمشاهده پروفایل

استاد

• Experiential media design
• Visual culture
• Trauma
• +۴ مورد دیگر

Scientia Professor Jill Bennett is an Australian Research Council Laureate Fellow at the University of New South Wales, serving as Founding Director of the Big Anxiety Research Centre (BARC) and member of the leadership team for the Ageing Futures Institute. Her pioneering work bridges art, science, and mental health through innovative transdisciplinary approaches that transform theoretical knowledge into practical applications. Professor Bennett's research focuses on experiential media design, visual culture, trauma studies, and immersive media/VR applications. She specializes in psychosocial and creative approaches to mental health, developing methods to communicate embodied experiences through technology. Her work explores how virtual reality creates 'perception simulation,' enabling people to 'see through the eyes of another' to foster empathy and understanding. Her publications demonstrate a trajectory from theoretical explorations of trauma and visual culture to practical applications addressing mental health challenges through community engagement and technological innovation. The IEEE Award-winning project 'The Visit' exemplifies her approach to using interactive avatars with women experiencing dementia. Australian Research Council Laureate Fellow IEEE Award for 'The Visit,' an interactive avatar project made with women with dementia 'Best New Event' at the Australian Event Awards (2017) for The Big Anxiety festival As a leader, Professor Bennett directs the Felt Experience & Empathy Lab (fEEL) at UNSW, bringing together psychosocial and creative practitioners specializing in mental health engagement. She has secured significant ARC Laureate fellowship funding since 2018 to support innovative research at the intersection of art, technology, and mental health. Professor Bennett leads major initiatives including the Big Anxiety Research Centre and collaborates with organizations like the NPY Women's Council for the Uti Kulintjaku initiative, demonstrating her commitment to culturally appropriate mental health approaches developed with diverse communities.

Arathy Karthaمشاهده پروفایل

پژوهشگر ارشد

• Vision Rehabilitation
• Augmented Reality
• Virtual Reality
• +۳ مورد دیگر

Dr. Arathy Kartha is a vision rehabilitation researcher with affiliations to the Wilmer Eye Institute at Johns Hopkins University School of Medicine. She holds a K99/R00 Pathway to Independence Grant from the National Eye Institute and specializes in multisensory rehabilitation for ultra-low vision. Education: BS and MPhil in Optometry from Elite School of Optometry (Chennai, India) PhD in Pediatric Vision Rehabilitation (Australia) Postdoctoral Fellowship at Wilmer Eye Institute (Johns Hopkins University) Her research focuses on integrating virtual reality, augmented reality, and neuroprosthetics to develop assistive technologies for visually impaired individuals. Recent work explores spatial localization, head rotation patterns, and AI-powered smart vision glasses. K99/R00 Pathway to Independence Grant - National Eye Institute

Jasmine Gnanaduraiمشاهده پروفایل

دانشیار

• Machine Learning
• Wireless Sensor Networks
• Cloud Computing
• +۷ مورد دیگر

Jasmine Gnanadurai serves as an Associate Professor in the Department of Electrical Engineering & Computer Science at George Fox University's College of Engineering. She teaches a range of courses including Introduction to Computer Science, Software Engineering, Servant Engineering, and Senior Design. Her office is located in Wood-Mar 222, where she holds regular office hours for student consultation. Dr. Gnanadurai's educational background includes: Ph.D. in Computer Science (2017) from Anna University, Chennai, India M.Phil (2006) from Bharathidasan University, Tiruchirappalli, India M.C.A. (2000) from Bharathidasan University, Tiruchirappalli, India B.Sc. in Computer Science (1997) from Bharathidasan University, Tiruchirappalli, India Dr. Gnanadurai's research spans multiple cutting-edge domains in computer science and engineering. Her work in wireless sensor networks has focused on optimization algorithms for zone-based networks, particularly using techniques like DBSCAN clustering and particle swarm optimization. She has made significant contributions to cloud computing architecture, especially in resource allocation and load balancing for peer-to-peer networks. Her expertise extends to machine learning applications across diverse fields including agriculture productivity, student feedback analysis, and crowd behavior recognition. Her recent publications demonstrate a strong interdisciplinary approach, bridging computer science with practical applications in healthcare, education, smart cities, and transportation. She has published extensively on deep learning techniques for EMG-based hand gesture recognition, blockchain applications for electric vehicle charging infrastructure, and immersive technologies for educational settings. These works reflect her commitment to addressing real-world challenges through technological innovation. Dr. Gnanadurai actively contributes to the engineering education mission at George Fox University through multiple channels. She teaches foundational computer science courses, advanced software engineering, and participates in the university's distinctive Servant Engineering program where students develop solutions to humanitarian needs. She also guides senior engineering students through their capstone Senior Design projects, which partner with industry sponsors to solve real-world problems. As part of the College of Engineering, Dr. Gnanadurai works within interdisciplinary teams that collaborate on projects addressing humanitarian needs through the Servant Engineering program. This program connects students with community partners to develop engineering solutions that serve vulnerable populations, reflecting the university's Christian mission of service. Her involvement in Senior Design connects students with industry partners including Xerox, Intel, Garmin, and numerous regional companies, providing students with valuable real-world experience.