جست‌وجوی استاد و پژوهشگر

Antal Jaraiمشاهده پروفایل

مدرس ارشد

• Probability Theory
• Statistical Physics
• Random Processes
• +۳ مورد دیگر

Dr. Antal Jarai is a Senior Lecturer in the Department of Mathematical Sciences at the University of Bath, where he also contributes to the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) and the Probability Laboratory at Bath. His work bridges probability theory and statistical physics, focusing on random processes with spatial and/or temporal structure. PhD in Mathematics from Cornell University (2000) BSc from Eötvös Loránd University (1996) Dr. Jarai's research explores problems motivated by statistical physics, including percolation, random walks, branching random walks, uniform spanning trees, and Abelian sandpiles. His recent publications address interlacement limits, asymptotics of optimal policies, resistance scaling, and wireless network proximity. He actively collaborates on interdisciplinary projects in network mathematics and wireless technology. Key trends in his publications include asymptotic analysis (5/5 papers), random walk theory (4/5), and probabilistic methods in statistical physics (4/5). Subfields span interlacement theory, self-organized criticality, stochastic geometry, and disordered systems. Royal Society Grant for 'Zero Dissipation Limit in Abelian Sandpiles' London Mathematical Society Grant for 'Critical Exponents in Sandpiles via Exact Sampling' EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) Dr. Jarai serves as Principal Investigator on multiple research grants and supervises students in probability and applied mathematics. He has contributed datasets on sandpile simulations and collaborates internationally on network mathematics projects.

• Consumer Behavior
• Consumer Culture Theory
• Services Marketing
• +۳ مورد دیگر

Assoc Prof Siok Kuan Tambyah is an Associate Professor at the National University of Singapore (NUS) Business School and a Fellow at The College of Alice & Peter Tan, NUS. She holds a PhD in Business from the University of Wisconsin-Madison. Her research focuses on consumer behavior, consumer culture theory, services marketing, and happiness/quality-of-life studies. She has authored/co-authored five books and numerous articles in leading journals such as the Journal of Consumer Research and Journal of Service Research . Her teaching spans undergraduate and graduate levels, including courses on Principles of Marketing, Consumer Behavior, and The Pursuit of Happiness. She has supervised over 60 undergraduate research projects and advised two PhD students. Her pedagogical research emphasizes interdisciplinary learning and residential college environments, highlighted in works like Student Growth and Development in New Higher Education Learning Spaces . A/P Tambyah’s work on Singapore’s quality of life and well-being has positioned her as a leading expert. Key publications include Happiness and Wellbeing in Singapore: Beyond Economic Prosperity (2023) and Drivers of Sustainability and Consumer Well-Being (2022). Her research often bridges consumer behavior with societal issues, such as immigrant inclusion and economic hardship impacts. She is an award-winning educator, recognized for innovative teaching methods in residential colleges and executive education programs. Her contributions to interdisciplinary learning and community engagement are further detailed in her writings on reflective practices and community-based research models.

Glenn R Sharmanمشاهده پروفایل

دانشیار

• Sedimentary Geology
• Stratigraphy
• Petroleum Geology
• +۷ مورد دیگر

Glenn R Sharman is an Associate Professor in the Department of Geosciences at the University of Arkansas, College of Arts & Sciences. His research integrates sedimentary geology, stratigraphy, and petroleum geology to explore sediment routing systems shaped by tectonic and climatic processes. Sedimentary Rocks & Fossils (2019-2020) Sedimentary Geology (2021) Petroleum Geology (2017, 2019) Field Camp (2018, 2021) Sedimentary Petrology (2020, 2021) Imperial Barrel Award (2019) His work examines clastic sedimentary systems across spatial and temporal scales, focusing on Earth history transitions like the end Triassic and Paleocene-Eocene boundary. He leads the Detrital Geochronology Laboratory (DGL), an industrial affiliates program for global provenance datasets in source-to-sink frameworks. Research highlights include collaborations with Devon Energy on 3D digital outcrop modeling for reservoir characterization. Recent publications coauthored with Sam Johnstone in Earth and Planetary Science Letters emphasize sediment unmixing techniques using detrital geochronology. His group's work intersects with modern sediment routing systems, numerical modeling, and societal challenges like anthropogenic climate change. Dr. Sharman supervises M.S. and Ph.D. students and has mentored researchers such as Ben Howard (Terra Nova) and Isaac Johnson (JGR Earth Surface), who applied machine learning to predict fluvial sand composition.

Dina El-Zanfalyمشاهده پروفایل

استادیار

• Computational Design
• Human-Computer Interaction
• Embodied Interaction
• +۵ مورد دیگر

Dina El-Zanfaly serves as an Assistant Professor in the School of Design at Carnegie Mellon University (CMU), where she directs the hyperSENSE: Embodied Computations Lab. Her work bridges computational design and human-centered interaction, focusing on how physicality shapes sensory experiences and cognitive processes through intelligent systems. Education: PhD in Design and Computation, Massachusetts Institute of Technology (MIT) Master of Science in Design and Computation, MIT (Fulbright scholar) Her research critically examines computational methods for augmenting sensory perception, with emphasis on embodied sense-making in hybrid environments. She investigates co-creative interactions between humans and intelligent systems, exploring how computational tools empower designers and non-designers to shape products, social spaces, and interconnected technologies. Key questions address mutual learning between humans and machines through improvisation and creative production. Analysis of her 2022-2025 publications reveals dominant themes in mixed reality interfaces, AI-augmented skill acquisition (particularly in crafts and welding), and tangible co-creation with generative AI. Her work consistently integrates physical computing with mindfulness applications and privacy-aware smart environments, demonstrating interdisciplinary reach across education, manufacturing, and therapeutic contexts. Scientific Awards: Fulbright Scholarship As lab director, El-Zanfaly mentors students in computational making and embodied interaction projects. Her research is supported through initiatives like Fab Lab Egypt and collaborations with MIT, where she co-founded the Computational Making Group. She chairs major conferences including Fab15 in Egypt and serves on the DESFORUM program committee, indicating significant leadership in maker education and design research communities. She founded and leads the hyperSENSE Lab at CMU, which investigates computational embodiment through projects like Origami Sensei and Sand-in-the-loop. Previously, she co-established the Computational Making Group at MIT and co-founded Fab Lab Egypt (the first community maker space in North Africa/Arab world), demonstrating sustained commitment to global maker ecosystems and interdisciplinary team building.

• Medical Image Analysis
• Computer Vision
• Deep Learning
• +۷ مورد دیگر

Dimitris N. Metaxas is a Professor in the Department of Computer Science within the School of Arts and Sciences at Rutgers University. His research spans computer vision, medical image analysis, and artificial intelligence, with a particular focus on medical applications including cardiac MRI analysis and foundation models for healthcare. Dr. Metaxas's research interests encompass medical image analysis, computer vision, deep learning, and artificial intelligence. His work demonstrates a strong emphasis on applying advanced machine learning techniques to medical imaging problems, particularly in cardiac analysis. He has made significant contributions to diffusion models, multimodal learning, and efficient AI techniques for medical applications. His research bridges the gap between theoretical computer vision and practical healthcare solutions, with numerous publications in top-tier conferences and journals. His recent publications show a clear trend toward foundation models for medical image analysis, with significant contributions to cardiac MRI segmentation, diffusion models, and multimodal learning. The research spans both theoretical advancements in AI techniques and practical applications in healthcare, particularly focused on improving medical diagnostics through computer vision. His work demonstrates expertise in adapting cutting-edge AI techniques like diffusion models and large language models for specialized medical applications. Dr. Metaxas has mentored numerous students and researchers, as evidenced by his extensive publication record with multiple co-authors across various institutions. His work has received significant attention in the research community, with numerous publications in top venues including CVPR, ICCV, MICCAI, and Medical Image Analysis. His research group focuses on medical image computing, computer vision, and machine learning applications in healthcare. The team works extensively with cardiac MRI data, developing advanced techniques for segmentation, reconstruction, and analysis of 4D cardiac imaging. They are particularly known for their contributions to foundation models in medical imaging and efficient adaptation techniques for specialized medical tasks.

Bo Xiongمشاهده پروفایل

پژوهشگر

• Machine Learning
• Knowledge Graphs
• Graph Neural Networks
• +۴ مورد دیگر

Bo Xiong is a researcher at the University of Stuttgart in the Analytic Computing group. His research focuses on machine learning and knowledge graphs , with a particular emphasis on geometric embeddings and hyperbolic neural networks. His research interests include: Knowledge graph embeddings Hyperbolic and pseudo-Riemannian geometry in AI Temporal knowledge graph reasoning Structured multi-label prediction Recent publications highlight his work on geometric relational embeddings, complex query answering, and temporal fact reasoning using advanced manifold-based techniques.

Jonathan Chapmanمشاهده پروفایل

استاد

• Sustainable Design
• Emotional Durability
• Transition Design
• +۵ مورد دیگر

Jonathan Chapman is a Professor and Director of Doctoral Studies at Carnegie Mellon University's School of Design, where he leads the PhD in Transition Design program. He also serves as a Visiting Professor in Design at the Politecnico di Milano and advises graduate students at MIT, Cambridge University, Royal College of Art, and KAIST. His educational background includes a PhD in Design (2008), MA in Design Futures (2001), and BA (Hons) in Industrial Design (1997). At 38, he became the youngest person in the UK to achieve Full Professor in Design. Chapman is a leading researcher in sustainable design, focusing on emotional durability, product longevity, and transition design. His work explores how design can foster meaningful, lasting relationships between people and products through an 'experience heavy, materials light' approach. He investigates psychological, cultural, and systemic factors influencing product lifespans, developing frameworks for sustainable consumption patterns. His scholarly output shows a trajectory from foundational work on emotional durability toward broader systems thinking and transition design. Recent publications address PhD education in design, worldview transformation, dematerialization, and applications to complex challenges including space development. Chapman consults for global organizations including Puma, COS, Philips, the House of Lords, United Nations, and NASA. His Guardian Op-Ed received over 1,000 comments upon publication. New Scientist has described him as 'a mover and shaker' and a 'new breed of sustainable design thinker.' As Director of Doctoral Studies, Chapman mentors PhD candidates in the Transition Design program and provides academic leadership internationally through his visiting professorship and advisory roles at prestigious institutions worldwide.

• Social Psychology
• Environmental Psychology
• Health Psychology
• +۴ مورد دیگر

Jana Kesenheimer, PhD is a researcher at the Department of Social Psychology , University of Innsbruck . Her work bridges social psychology and environmental psychology , focusing on the interplay between personality traits, prosocial behavior, and psychological well-being. She employs intensive longitudinal methods (diary studies, experience sampling) to investigate how environmental actions, remote work, and ultra-endurance sports affect individuals differently based on their psychological profiles. Research Highlights Connecting dark personality traits (e.g., narcissism) with pro-environmental behavior fatigue Analyzing fluid retention and cardiac strain in ultra-distance cyclists Studying remote work's impact on mental health through basic psychological needs Scientific Focus : Her publications reveal a trajectory in behavioral ecology , health psychology , and personality-driven motivation . Key subfields include exercise psychology , pandemic-induced value shifts , and moral self-regulation in ecological contexts.

Kaat Alaertsمشاهده پروفایل

استاد

• Neurorehabilitation
• Oxytocin Research
• Autism Spectrum Disorder
• +۶ مورد دیگر

Professor Kaat Alaerts is a leading researcher at KU Leuven's Faculty of Movement and Rehabilitation Sciences, where she serves as Head of the Neurorehabilitation Research Group and Professor in the Department of Rehabilitation Sciences. Her work bridges neuroscience, psychology, and rehabilitation science to develop innovative interventions for stress regulation and social-cognitive functioning, with a particular focus on autism spectrum disorder and related conditions. Her primary research interests span neurorehabilitation , oxytocin research , autism spectrum disorder , stress regulation , mindfulness and meditation , neurostimulation , and social cognition . Dr. Alaerts employs a multidisciplinary approach that combines neuroscientific, physiological, and behavioral methods to study both clinical effectiveness and underlying brain mechanisms of neuromodulatory interventions. The research output demonstrates a strong focus on exploring the therapeutic potential of oxytocin, particularly for autism spectrum disorder. Her work examines both the standalone effects of oxytocin and its synergistic effects when combined with mindfulness training or other interventions. A growing body of research also investigates the gut-brain axis in autism and the role of microbiome composition in social and stress-related difficulties. Dr. Alaerts has received notable recognition including the KAGB Clinical Medicine Award in September 2024 for her work on oxytocin administration in children with autism. Her research group has also been honored with multiple "Belgium's got talent" prizes from the Belgian College of Neuropsychopharmacology and Biological Psychiatry. As a dedicated mentor, Dr. Alaerts supervises numerous PhD students and postdoctoral researchers, including Margaux Evenepoel, Jellina Prinsen, Elise Tuerlinckx, and others who have made significant contributions to the field. Her research is supported by multiple substantial grants, including several ongoing projects running through 2028-2029 that investigate oxytocin's role in stress regulation for breast cancer survivors, autism, and other conditions. The Neuromodulation Laboratory, which Dr. Alaerts leads, focuses on three core domains: oxytocin neuropsychopharmacology, contemplative science and combinatory approaches, and neuroregulation techniques. The lab operates within a multidisciplinary network that includes the LBI - KU Leuven Brain Institute and maintains strong collaborative relationships across various research institutions.

Mary-Louise Timmermansمشاهده پروفایل

استاد

• Arctic climate
• Physical oceanography
• Arctic Ocean heat storage
• +۶ مورد دیگر

Mary-Louise Timmermans serves as the Damon Wells Professor of Earth and Planetary Sciences and Director of Graduate Studies at Yale University's Faculty of Arts and Sciences. Her research focuses on Arctic climate dynamics and physical oceanography, where she has established herself as a leading expert in Arctic Ocean processes. Dr. Timmermans' research interests center on Arctic climate systems, particularly physical oceanography of the Arctic Ocean, heat and freshwater storage and transport mechanisms, ocean mixing processes, and eddy and wave dynamics. Her work examines how these processes interact with and respond to climate change, with particular attention to the Canada Basin and Beaufort Gyre regions. She employs both observational data from projects like the Ice-Tethered Profilers and theoretical modeling approaches to understand complex Arctic oceanographic phenomena. Her recent publications reveal a strong focus on Arctic Ocean dynamics under climate change, with particular attention to sea ice volume changes, freshwater content increases, and biogeochemical processes. Her work frequently appears in high-impact journals including Journal of Geophysical Research and Geophysical Research Letters, and she regularly contributes to major climate assessment reports such as the NOAA Arctic Report Card and the American Meteorological Society's State of the Climate reports. Her research demonstrates increasing attention to carbon cycle dynamics and potential climate engineering applications in polar regions. Dr. Timmermans actively mentors a large research group consisting of PhD students, postdoctoral associates, and undergraduate researchers working on diverse aspects of Arctic climate science. Her students pursue projects ranging from sea ice dynamics to ocean biogeochemistry and fluid dynamics modeling. She also serves on the Geophysical Fluid Dynamics Summer Program, providing training opportunities for the next generation of oceanographers. She leads and participates in several major Arctic research initiatives including the Sea-Ice MURI, Ice-Tethered Profilers program, Beaufort Gyre Exploration Project, and contributes to the NOAA Arctic Report Card. Her laboratory utilizes data from ice-tethered profilers, satellite observations, and numerical models to investigate Arctic Ocean processes across multiple spatial and temporal scales.

Eduardo Mercado IIIمشاهده پروفایل

استاد

• Bioacoustics
• Cognitive Psychology
• Marine Ecology
• +۵ مورد دیگر

Eduardo Mercado III is a Professor in the Department of Psychology at the University at Buffalo, College of Arts and Sciences. His research focuses on bioacoustics, cognitive psychology, and marine ecology, particularly the vocal behavior of humpback whales and its implications for understanding human impact on marine ecosystems. He is also known for his work in perceptual learning, autism spectrum disorder, and comparative cognition. Scientific Awards Guggenheim Fellowship Harvard Radcliffe Institute Fellowship Research Trends His recent publications emphasize bioacoustic analysis of humpback whale songs, including their spectral entropy, cyclical variations, and adaptive adjustments to anthropogenic noise. Additional work explores perceptual learning mechanisms in autism, neural network modeling for acoustic classification, and cognitive processes in canines and rodents. Projects Mercado’s “Singers as Sentinels” project combines acoustic analysis of humpback whale songs with public awareness initiatives about ocean noise pollution. The project will produce a book, Why Whales Sing and Dolphins Don’t , and a web-based interface for public engagement.

Arie E. Kaufmanمشاهده پروفایل

استاد

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

Arie E. Kaufman is a Distinguished Professor in the Department of Computer Science at Stony Brook University, serving as Chief Scientist of the Center of Excellence in Wireless and Information Technology (CEWIT) and Director of the Center of Visual Computing (CVC). He additionally holds a Distinguished Professorship in Radiology, with a 40+ year career at Stony Brook since joining in 1985 and chairing the CS department from 1999-2009. His seminal research spans computer graphics, visualization, and virtual reality with biomedical applications, pioneering breakthroughs including 3D Virtual Colonoscopy (FDA-approved colon cancer screening), Cube hardware architectures (commercialized as VolumePro), the Reality Deck (1.5 billion-pixel immersive display), and foundational work in volume visualization. His interests focus on real-time rendering, medical imaging, and immersive analytics, with recent work integrating machine learning for healthcare and environmental risk visualization. Recent publications demonstrate continued leadership in high-resolution immersive displays (Silo), XR analytics with LLMs, storm surge visualization, and neural reconstruction techniques. His work bridges theoretical innovation with practical applications, particularly in pancreatic cancer prognosis and disaster preparedness. Major honors include: IEEE Visualization Career Award (2005) Fellow of the National Academy of Inventors (2017) ACM Fellow (2009) IEEE Fellow (1998) Long Island Technology Hall of Fame (2013) European Academy of Sciences membership (2002) As PI on 100+ research grants, Kaufman's work has generated 300+ refereed papers, 40+ patents, and extensive media coverage (New York Times, Science, Wall Street Journal). He leads the Center of Visual Computing with focus on translational research, including VolVis software (5,000+ installations) and Reality Deck deployments for big data analytics. His lab develops cutting-edge visualization infrastructure for medical diagnostics and environmental modeling, with current projects advancing immersive storm surge analytics, neural structure extraction, and VR-based risk communication systems. Future work emphasizes AI-enhanced visualization for precision medicine and climate resilience planning.

Pere-Pau Vázquezمشاهده پروفایل

استادیار

• Information Visualization
• Scientific Visualization
• Medical Data Visualization
• +۶ مورد دیگر

Pere-Pau Vázquez is an Assistant Professor in AI for Visual Computing at the Computer Vision Lab, TU Wien, Austria . Previously, he held academic positions at the ViRVIG Group and Facultat d'Informàtica de Barcelona (UPC) , where he taught courses in Programming, Computer Graphics, and Visualization for over 20 years. His research focuses on Information Visualization, Scientific Visualization, Medical Data Visualization, Molecular Visualization, and AI applications to Visual Computing . Current Teaching : Data Visualization, Fast Realistic Rendering, Information Visualization, Medical Images, Scientific Visualization, Virtual Reality, and 3D Medical Visualization. Former PhD Students : Elena Molina, Alexandra Cortez, Jesús Díaz, Pedro Hermosilla, Eva Monclús. His scientific awards include the Best PhD Thesis Award (UPC, 2003), Best Student Paper Award (SPIE, 2012), and Best Paper Award (International Conference on Computer Graphics Theory and Applications, 2013). Recent publications explore AI integration in biomedical visualization, molecular data analysis, and interactive techniques for volume rendering. He serves on the EuroGraphics Executive Board as Secretary and is active in steering committees for EuroVis and Visual Computing for Biology and Medicine . His work bridges Computer Graphics, Artificial Intelligence, and Human-Computer Interaction , with applications in medical and molecular data analysis.

Facundo M. Fernandezمشاهده پروفایل

استاد

• Analytical Chemistry
• Bioanalytical Mass Spectrometry
• Ambient Sampling/Ionization
• +۴ مورد دیگر

Facundo M. Fernandez is a Regents' Professor and Vasser-Woolley Chair in Bioanalytical Chemistry at the Georgia Institute of Technology, where he leads the Fernandez Research Group within the School of Chemistry and Biochemistry in the College of Sciences. His research spans multiple cutting-edge areas of analytical chemistry with significant applications in medicine, forensics, and basic science. Dr. Fernandez earned his M.Sc. in Chemistry (1996) and Ph.D. in Analytical Spectrometry/Metallomics (1999) from the Facultad de Ciencias Exactas y Naturales at Buenos Aires University, Argentina. His research program focuses on Bioanalytical Mass Spectrometry with particular emphasis on Ambient Sampling/Ionization & Molecular Imaging, Ion Mobility Spectrometry, Metabolomics, and Pharmaceutical Forensics. His work has pioneered new approaches in ambient ionization techniques that enable direct analysis of complex samples without extensive preparation. His recent publications reveal a strong trend toward spatial metabolomics, particularly in traumatic brain injury and ovarian cancer research, with increasing integration of machine learning approaches for data analysis. His work also extends to pharmaceutical quality control, exercise physiology through the MoTrPAC consortium, and prebiotic chemistry investigations. The interdisciplinary nature of his research is evident in collaborations across Georgia Tech's campus and with external institutions. NSF CAREER Award (2007) 3M Non-tenured Faculty Award (2008) CETL/BP Junior Faculty Teaching Excellence Award (2009) Ron A. Hites Award for Outstanding Research Publication (2010) Sigma Xi (GT Chapter) Best Faculty Paper Award (2010) Vasser-Wooley Faculty Fellow (2012) Dr. Fernandez has secured significant funding for his research, including NSF CAREER support, and leads projects related to metabolomics for ovarian cancer detection, pharmaceutical forensics through the CODFIN network, and participation in the large-scale Molecular Transducers of Physical Activity Consortium (MoTrPAC). His laboratory develops advanced instrumentation for mass spectrometry applications and maintains strong collaborations with the Integrated Cancer Research Center, the College of Computing, and the Center for Chemical Evolution at Georgia Tech.

• Japanese Applied Linguistics
• Second Language Acquisition
• Language Education Policy
• +۷ مورد دیگر

Satoshi Miyazaki is a Professor at Waseda University's Graduate School of Japanese Applied Linguistics and affiliated with the Faculty of International Research and Education . With a Ph.D. from Monash University, his work bridges Japanese language education, second language acquisition, and cross-cultural communication. Education Background: Doctor of Philosophy (Japanese Applied Linguistics) - Monash University (1997) Graduate School of Japanese Applied Linguistics - Waseda University (1982) Research Interests focus on Japanese language pedagogy, natural acquisition mechanisms, and interactional strategies for non-native learners. His innovative use of Eye Mark Recorders (EMR) and Event-Related Potentials (ERP) has advanced understanding of cognitive processes in language learning. Recent Articles (2011-2001) reveal trends in Japanese language education reform, cross-cultural learning challenges, and technology-enhanced teaching methods. Key themes include correctional language programs for foreign inmates, immersion environments, and brain processing studies using advanced neuro-linguistic techniques. Research Projects have received continuous funding from Japan Society for the Promotion of Science, including prison language education programs, foreign care worker competence frameworks, and EMR-based lecture comprehension analysis. His work extends to international collaborations with institutions in Australia, the U.S., and Europe.