جست‌وجوی استاد و پژوهشگر

Mei-Po Kwanمشاهده پروفایل

استاد

• Geographic Information Science (GIS)
• Environmental Health
• Urban Mobility
• +۷ مورد دیگر

Mei-Po Kwan is a distinguished academic holding multiple roles at The Chinese University of Hong Kong (CUHK). She serves as the Head of Chung Chi College, Choh-Ming Li Professor of Geography and Resource Management, Director of the Institute of Space and Earth Information Science, and Professor at The Jockey Club School of Public Health and Primary Care. Her research focuses on geospatial health, urban mobility, environmental health, and innovative GIS methods, emphasizing individual-level environmental exposure and social disparities. Education: Ph.D. Geography, University of California, Santa Barbara (1994) M.A. Urban Planning, University of California, Los Angeles (1989) B.SoSci. Geography, The Chinese University of Hong Kong (1985) Research Interests: Dr. Kwan’s work bridges health, transport, and environmental geography, leveraging cutting-edge GIS and mixed-methods approaches. Key themes include: Uncertain Geographic Context Problem (UGCoP) and Neighborhood Effect Averaging Problem (NEAP) GIS-based analysis of greenspace, air/noise pollution, and mobility Geospatial AI and real-time sensing technologies Health disparities in urban environments Grants & Awards: She has secured over $68 million in research funding, including recent grants from the Hong Kong Research Grants Council and Innovation and Technology Commission. Notable awards include Fellowships from the American Association of Geographers, Royal Geographical Society, and multiple Highly Cited Researcher recognitions (2019, 2021). Professional Service: Editor of Annals of the American Association of American Geographers , founder of the International Geospatial Health Research Network, and member of prestigious editorial boards and advisory councils. Labs & Teams: Leads the Institute of Space and Earth Information Science and collaborates on projects like the 15-minute city framework, carbon monitoring systems, and geospatial health analytics.

Wenrui Huangمشاهده پروفایل

استاد

• Coastal Engineering
• Hydrology
• Water Resource Management
• +۳ مورد دیگر

Wenrui Huang is a Professor in the Department of Civil & Environmental Engineering at Florida A&M University-Florida State University (FAMU-FSU). He holds a Ph.D. (1993), M.S. (1986), and B.S. (1982) in Civil Engineering from the University of Rhode Island and Hohai University. His research focuses on Coastal & Estuarine Hydrodynamics, Surface Water Quality Modeling, and Neural Network Applications in Hydrology. Professional Affiliations: Licensed Professional Engineer (PE), Chair of the Professional Development Committee at FAMU-FSU. Key Contributions: Published in coastal hazards, hurricane modeling, and storm surge assessment. Edited the book Coastal Hazards (2010). Research emphasizes numerical modeling of extreme events, including tsunami propagation and hurricane-induced wave dynamics. His work integrates computational methods with environmental systems analysis.

Camillo J. Taylorمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• 3D Reconstruction
• +۶ مورد دیگر

Camillo J. Taylor is the Raymond S. Markowitz President’s Distinguished Professor in the Department of Computer and Information Science at the University of Pennsylvania , where he has been a faculty member since 1997. He also serves as Associate Dean for Diversity, Equity, and Inclusion at the School of Engineering and Applied Science. His research focuses on Computer Vision and Robotics , particularly in 3D reconstruction, semantic mapping, and autonomous navigation. Education: A.B. in Electrical Computer and Systems Engineering, Harvard College (1988) M.S. and Ph.D. in Computer Science, Yale University (1990, 1994) Research Interests: Dr. Taylor’s work bridges Computer Vision and Robotics to enable autonomous systems to perceive and navigate complex environments. Key themes include semantic SLAM, event camera applications, and meta-learning for adaptive controllers. His projects often integrate vision, physics, and multi-agent collaboration, as seen in systems like EvMAPPER and OCCAM . Recent Article Trends: His 2024–2025 publications focus on semantic mapping , event-based vision , and multi-agent LLM systems , reflecting his lab’s emphasis on real-time perception, physics-informed reconstruction, and rational decision-making in robotics. These works span applications from solar eclipse imaging to wildfire analysis and natural hazard resilience. Awards: NSF CAREER Award (1998) Lindback Minority Junior Faculty Award (2001) IEEE WACV Best Paper Award (2012) Lindback Distinguished Teaching Award (2012) Advising and Service: Dr. Taylor has advised numerous PhD students, including Jason Hughes and Bowen Jiang. He has served as a Program Chair for CVPR (2006, 2017) and General Chair for ICCV (2021). His contributions to the GRASP Laboratory have advanced autonomous micro-UAVs and semantic SLAM.

Sarah Pinkمشاهده پروفایل

استاد

• Design Anthropology
• Emerging Technologies
• Automated Decision Making
• +۵ مورد دیگر

Sarah Pink is a leading Professor at Monash University , holding a joint appointment across the Faculty of Art, Design and Architecture and the Faculty of Information Technology . She serves as Director of the FUTURES Hub and Emerging Technologies Research Lab , focusing on human futures in digital and net zero transitions. PhD in Social Anthropology, University of Kent Honorary Doctorates from Malmö and Halmstad Universities Fellow, Academy of the Social Sciences in Australia Her research spans design anthropology, emerging technologies, automated decision making, and future mobilities . Recent work examines: AI ethics in clean energy Smart homes for seniors Automated mobility futures Selected 2025 article trends show focus on technological ethics, urban data systems, and human-machine interaction across 6 subfields including automated decision making and sensory design. Major awards: CIOB Award for Best International Paper (2016) Asia Pacific Eldercare Innovation Gold (2021) Good Design Awards (2023) As research director for Monash Grid Innovation Hub and Human-Centred Computing , she leads projects funded by Australian Research Council, EU, and national research councils across five countries. Her lab engages 20 active projects and 20+ industry partners globally.

Gabrielle Hodgeمشاهده پروفایل

مدرس ارشد

• Sociolinguistics
• Sign Language Linguistics
• Multimodal Communication
• +۷ مورد دیگر

Gabrielle Hodge is a Senior Lecturer in Sign Language Linguistics at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. A deaf researcher, she specializes in sociolinguistics related to deaf communities, sign languages, and multimodal communication. Her work incorporates corpus linguistics, applied linguistics, and semiotics methodologies. Education: PhD in Linguistics (Macquarie University, 2014), BA (Hons) in Linguistics (La Trobe University, 2008). Teaching includes undergraduate and postgraduate courses in sign language linguistics and sociolinguistics. She chairs the University BSL Plan Implementation Group (2024-2030) and actively supervises PhD and MSc students in deaf community research. Research focuses on accessibility, sign language corpus methods, and inclusive language theory. Notable projects include the Accessibility & Inclusion Toolkit for deaf Australians and Signing to Know & Survive , exploring deaf communication resilience. She develops training for educators and interpreters, emphasizing direct access without relay systems. Key contributions include advancing corpus-driven sign language research, analyzing deaf professionals' trust in interpreters, and creating climate change resilience resources in Auslan. Her work challenges traditional linguistic frameworks to better incorporate deaf perspectives and embodied communication practices.

Pascale Bironمشاهده پروفایل

استاد

• Hydro-geomorphology
• River Restoration
• Floodplain Management
• +۳ مورد دیگر

Pascale Biron is a Professor in the Department of Geography, Urban Planning and Environment at Concordia University, Montreal. She holds a Ph.D. in Geography from Université de Montréal (1995) and has been with Concordia since 1998. Her research focuses on river dynamics, stream restoration for fish habitat, flood modeling, and climate change impacts. She specializes in hydrogeomorphology, river management in agricultural watersheds, and numerical modeling of fluvial processes. Research Interests: Her work includes river restoration strategies, flood risk assessment using LiDAR technology, and the 'river freedom' concept promoting ecosystem resilience. She collaborates closely with government agencies to translate research into practical river management policies. Professional Affiliations: Canadian Geomorphology Research Group, Canadian Association of Geographers, American Geophysical Union, GRIL (Limnology Research Group), and RIISQ (Quebec Flood Risk Network). Publications & Research: Recent studies address global salmonid biomass patterns, fluvial hazard detection via machine learning, and large-scale flood modeling. She supervises 19 graduate students in Ph.D./M.Sc. programs in Geography and Environmental Studies, focusing on topics like river confluence hydraulics and agricultural stream restoration. Grants & Funding: Active projects include river dynamics in fish habitats, flood modeling for road infrastructure vulnerability, and computational fluid dynamics simulations of river flows. She also leads research on societal dimensions of river restoration and policy frameworks for flood resilience.

Tan Viet Tuyen Nguyenمشاهده پروفایل

مدرس

• Human-centered Artificial Intelligence
• Social Human-Robot Interaction
• Multimodal Perception and Interaction
• +۵ مورد دیگر

Dr. Tan Viet Tuyen Nguyen is a New Frontiers Fellow (Lecturer) in AI at the University of Southampton, specializing in Human-Centered Artificial Intelligence and Social Human-Robot Interaction. His research focuses on multimodal learning for robots to adapt their behavior to human social needs, with applications in healthcare, education, and service environments. Prior to this role, he was a Research Associate at King’s College London and a Research Assistant on the EU-funded CARESSES project, developing culturally-aware assistive robots for elderly support. Education: PhD in Information Science (Robotics) from Japan Advanced Institute of Science and Technology. He has organized conferences such as the IEEE RO-MAN 2022 special session on nonverbal communication and served as a reviewer for top-tier robotics and AI conferences. Research Interests include: Human-Robot Collaboration, Multimodal Perception, Generative AI for Social Interaction, and Context-Aware Robot Behavior Generation. His work has been recognized with awards including the Best Paper Award at ROMAN 2022 and the Prospective Research Award at ICServ 2023. Teaching Responsibilities include courses on Biologically Inspired Robotics, High-Level Programming, and MSc/Undergraduate project supervision. He currently oversees two PhD students and collaborates on projects like 'Exploring the impact of AI-driven writing of engagement in climate change' and 'Bridging Generations and Cultures through Generative AI.' Labs/Teams: Member of the Agents, Interaction and Complexity Centre and the Centre for Robotics Research at Southampton.

Sam Kirshnerمشاهده پروفایل

دانشیار

• Behavioral Decision Making
• Operations Management
• Technology Management
• +۶ مورد دیگر

Associate Professor Sam Kirshner is a faculty member at the University of New South Wales within the School of Information Systems and Technology Management . His research focuses on behavioral decision making , algorithmic impact on operations , and artificial intelligence applications in business contexts. PhD in Management Science from Queen’s University, Canada Teaching expertise in data visualization, predictive analytics, and AI ethics Co-author of Business Analytics: A Management Approach Member of the Ethical AI Advisory His research explores how psychological distance and construal level theory influence decisions in supply chains, technology management, and consumer behavior. Recent work examines ChatGPT's decision biases , algorithm aversion , and sustainable operations under financial constraints. Key publication trends show focus areas: AI ethics and human-AI collaboration Behavioral supply chain analysis Temporal/spatial psychological distance effects CO2 forecasting with sparse data Consumer behavior in digital platforms Virtual reality and cognitive processing Supervision roles include mentoring 2 PhD students and 6 honors students, contributing to the next generation of scholars in business analytics and technology management.

Lars Linsenمشاهده پروفایل

استاد

• Interactive Visual Analysis
• Medical Visualization
• Scientific Visualization
• +۴ مورد دیگر

Prof. Dr.-Ing. Lars Linsen is a full Professor of Computer Science at the Westfälische Wilhelms-Universität (WWU) Münster, leading the VISualization & graphIX (VISIX) group. His primary affiliation is the Institute of Computer Science within the Faculty of Mathematics and Computer Science. He holds adjunct professorships at Jacobs University, Bremen, and has held previous academic roles including Full Professor at Jacobs University (2012–2017) and Associate/Assistant Professor roles in Germany and the U.S. His research focuses on interactive visual analysis, medical visualization, and scientific visualization, with applications in life sciences and engineering. Education: PhD (Dr.-Ing.) in Computer Science from Universität Karlsruhe (2001), M.Sc. (Diplom) in Computer Science (1997), B.Sc. (Vordiplom) in Computer Science (1994). Awards: IEEE Visualization Design Contest Winner (2008, 2022, 2018), Preis des Fördervereins des Forschungszentrum Informatik (2002). Research Highlights: Develops visualization tools for medical imaging (e.g., mass spectrometry imaging, MRI data analysis) and physical simulations (e.g., wildfire spread analysis, asteroid impact modeling). Active in EU-funded projects like Pig-Pro-QuO (surface coatings) and cells-in-motion initiatives. Supervised over 20 PhD/MS advisees, including notable graduates in medical visualization and simulation ensemble analysis. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, and EuroVis. Key works include SciVis contest-winning wildfire analysis frameworks and medical visualization tools for stenosis detection. Teaching: Offers courses on visualization, computer graphics, and computational science. Actively involved in thesis supervision and curriculum development at both WWU Münster and Jacobs University. Grants & Collaborations: Principal investigator on DFG-funded projects (e.g., hemodynamics simulations, ensemble visualization) and industry collaborations (e.g., Tascon GmbH for coating quality analysis). Member of the Cells-in-Motion Interfaculty Centre and CDH board at WWU.

• Fluid Dynamics
• Renewable Energy Technologies
• Mechanical Engineering Education
• +۳ مورد دیگر

Buyung Kosasih is a Professor in the School of Mechanical, Materials, Mechatronic and Biomedical Engineering at the University of Wollongong. He has held this position since 2000 and focuses on teaching and research in mechanical engineering, including Machine Dynamics, Finite Element Methods, and Renewable Energy Technology. His research spans fluid dynamics in industrial processes, renewable energy systems, and aqueous lubrication. Key projects include 3D-printed surfboard fin optimization and steel coating dynamics. Research interests emphasize experimental and computational fluid dynamics, particularly in renewable energy turbines and tribological systems. Notable awards include the 2013 Outstanding Contribution to Teaching and Learning Award. He has supervised numerous students and led over 20 funded projects, including ARC grants for steel innovation and renewable energy. Collaborative work includes the Steel Research Hub and HVAC/cool roof efficiency studies.

Iain Stewartمشاهده پروفایل

استاد

• Geoscience Communication
• Disaster Risk Reduction
• Geohazards
• +۲ مورد دیگر

Iain Stewart is Professor of Geoscience Communication at the University of Plymouth, holding the UNESCO Chair in Geoscience and Society. He directs research at the Sustainable Earth Institute and serves as Communications Lead for the UKRI Tomorrow's Cities initiative targeting disaster risk reduction in urban environments. His research bridges Earth science and societal concerns through three key areas: 1) Geoscience communication strategies for complex issues like climate change and energy, 2) Cultural responses to geohazards using film and gaming technologies, and 3) Public perceptions of geological resources and subsurface environments. His work applies cognitive and social science frameworks to geoscience communication challenges. Stewart maintains an extensive public engagement profile through BBC television documentaries including 'Earth: The Power of the Planet' and as science consultant for 'Seven Worlds, One Planet'. He serves as President of the Royal Scottish Geographical Society and Devon Wildlife Trust while advocating for geoscience education globally. His research has been recognized with numerous international awards including an MBE and honors from the Geological Society of America and American Geophysical Union.

Margret Keuperمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Deep Learning Model Robustness
• +۷ مورد دیگر

Prof. Margret Keuper is a Professor of Machine Learning at the University of Mannheim's School of Business Informatics and Mathematics, leading the Data and Web Science Group. She is also affiliated with the Max-Planck-Institute for Informatics and ELLIS (fellow since 2024). Her research focuses on robust deep learning, neural architecture search, and computer vision tasks like motion segmentation and adversarial defense. She holds a PhD from the University of Freiburg and previously held positions at the University of Siegen and the University of Mannheim. Her work spans projects funded by DFG and BMBF, including Climate Visions for social media analysis and TrackOpt for motion tracking. She teaches courses on computer vision, generative models, and reinforcement learning. She actively serves on program committees for top conferences like CVPR, ECCV, and NeurIPS, and is an associate editor for IEEE TPAMI and JAIR. Education: PhD in Computer Science from University of Freiburg (advisor: Thomas Brox) Research Projects: Learning to Sense (DFG), Climate Visions (BMBF), TrackOpt (BMBF) Key Roles: Head of Mannheim Master in Data Science Examination Board, Member of MSc Business Informatics Board Her research emphasizes robustness in AI systems, with contributions to adversarial attacks, domain generalization, and efficient solvers for large-scale problems. She advises over 15 PhD students across academic and industry partnerships.

Jean Goodwinمشاهده پروفایل

استاد

• Science Communication Ethics
• Civil Argumentation
• Public Science Communication
• +۳ مورد دیگر

Dr. Jean Goodwin is the SAS Institute Distinguished Professor of Rhetoric & Technical Communication at NC State University's Department of Communication, part of the College of Humanities and Social Sciences. She specializes in science communication ethics, civil argumentation, and the rhetoric of controversial scientific topics such as climate change and GMOs. Her work bridges theory and practice, including NSF-funded initiatives like Teaching Responsible Communication of Science, which develops case studies for STEM graduate students. She also leads the Leadership in Public Science cluster through NC State's Chancellor’s Faculty Excellence Program. Education: B.A. in Mathematics (University of Chicago, 1979), J.D. (University of Chicago, 1984), and Ph.D. in Communication/Rhetoric (University of Wisconsin-Madison, 1996). Her career includes over 25 years of teaching rhetoric and mentoring students across communication subfields. Research focuses on how scientists communicate effectively with non-experts, leveraging discourse analysis and conceptual frameworks like speech act theory. Key themes include trust-building in contentious contexts, ethical advocacy roles for scientists, and historical rhetorical strategies from Cicero to modern policy debates. Her work often intersects with civic engagement and interdisciplinary collaboration, such as organizing conferences for science communication scholars and advising organizations like the AAAS. Major publications explore ethical dimensions of science communication, including climate change advocacy, disinformation detection, and pandemic messaging. Awards include the EB Knight Journal Award (2007) and her distinguished professorship. Current initiatives emphasize translating scholarly insights into practical tools for scientists and fostering dialogue between scientific and public communities through funded research partnerships.

Ellen Zeguraمشاهده پروفایل

استاد

• Computer Networking
• Computing for Development
• Social Responsibility in STEM Education
• +۶ مورد دیگر

Ellen Zegura is the Stephen Fleming Chair and Professor in the School of Computer Science at Georgia Tech's College of Computing. She holds multiple degrees from Washington University in St. Louis: BS in Computer Science, BS in Electrical Engineering, MS in Computer Science, and DSc in Computer Science. Her research focuses on computer networking, social responsibility in STEM education, and computing for development. She co-founded the Computing for Good initiative, emphasizing project-based learning to address societal challenges. Zegura is an IEEE and ACM Fellow, and serves on the Computing Research Association (CRA) Executive Board. Her education spans interdisciplinary fields at Washington University, combining computer science and electrical engineering. She has held leadership roles at NSF and CRA, advocating for equitable technology policies. Notable contributions include advancing QoE metrics for video conferencing, analyzing mobile broadband infrastructure disparities, and developing ethics education frameworks for computing curricula. Research interests include network measurement, community-empowered data practices, and bridging technical innovation with social impact. Recent work examines tribal mobility during pandemics, sensor co-design with Indigenous communities, and ethical pedagogy for teaching assistants. Her labs and collaborations, such as CERCS, emphasize interdisciplinary problem-solving. Zegura’s awards reflect her dual impact in technical innovation and societal engagement.

Marc G. Bermanمشاهده پروفایل

استاد

• Environmental Neuroscience
• Cognitive Psychology
• Urban Neuroscience
• +۷ مورد دیگر

Marc G. Berman is a Professor and Chair of the Department of Psychology at the University of Chicago. His research focuses on understanding how environmental factors interact with human cognition, emotion, and behavior, particularly through the lens of environmental neuroscience. He leads the Environmental Neuroscience Lab (ENL), investigating how natural and urban environments influence brain function, memory, attention, and mental health. Dr. Berman holds a B.S.E. in Industrial and Operations Engineering from the University of Michigan and a Ph.D. in Psychology and Engineering from the same institution. His postdoctoral training was at the Rotman Research Institute in Toronto. Prior to Chicago, he was an Assistant Professor at the University of South Carolina. His research interests include the cognitive and affective benefits of natural environments, brain network efficiency, and the neurobiological underpinnings of self-control and emotion regulation. Recent work explores how urban design elements (e.g., greenspace, street activity) relate to crime rates and mental health outcomes, leveraging big data from social media and geospatial tools. Key contributions include demonstrating that natural environments improve memory and attention by ~20%, and that city characteristics like population diversity and segregation correlate with implicit racial biases. His lab employs fMRI, neuroimaging, computational modeling, and ecological data to quantify brain-environment interactions. Dr. Berman collaborates across disciplines, integrating neuroscience, psychology, urban planning, and data science to inform evidence-based environmental design for public health. Current projects include analyzing social media data to map gang networks and investigating how heat and greenspace influence emotional states in urban populations.