جستجوی استاد راهنمای دانشگاهی

• Visual Analytics
• Information Visualization
• Geographic Information Science
• +۷ مورد دیگر

Jo Wood is Professor of Visual Analytics in the Department of Computer Science at City, University of London, where she has been employed since January 14, 2000. Her work bridges computer science, geographic information science, and human-computer interaction, focusing on innovative methods for visualizing complex spatial and behavioral data. Her research interests center on visual analytics , information visualization , and geovisualization , with applications in transportation, public health, crisis response, and citizen science. She investigates how interactive visual interfaces can support exploratory data analysis, decision-making, and storytelling, particularly through small multiples, faceted views, and sketch-based rendering techniques. The trends in her recent publications reflect a consistent focus on user-centered design , spatial data abstraction , and interactive exploration of multivariate datasets. Her work often integrates real-world behavioral data such as GPS tracks, cycling patterns, and crowd-sourced information to build meaningful visual narratives and support analytical reasoning. Throughout her career, Jo Wood has contributed significantly to the advancement of visual analytics through high-impact publications in top-tier venues such as IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Her collaborations with researchers like Jason Dykes and Aidan Slingsby highlight her role in a vibrant research community. She has supervised numerous research projects and mentored students in visualization and geospatial analytics, though specific names are not listed in the provided text. Her work has been supported by various research grants, particularly in domains involving urban mobility, energy modeling, and crisis informatics, though grant details are not specified here. Jo Wood has also contributed to the design of visual analytics systems for applications including disease spread modeling, bicycle-hire scheme monitoring, and persuasive technology for health and leisure, demonstrating a strong commitment to impactful, interdisciplinary research.

Brett Sandersمشاهده پروفایل

استاد

• Flood modeling and prediction
• Coastal and urban flooding
• Hydrological modeling
• +۷ مورد دیگر

Brett Sanders is a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on developing innovative algorithms for flow and transport in river and coastal systems and integrating information technologies to create more accurate and efficient simulation tools for flood hazard assessment. His primary research interests include: Flooding and erosion hazards, particularly coastal flooding and urban flooding Surface water quality Low impact development impacts on hydrology Dam-break flooding Aerial and terrestrial lidar scanning Geographical information systems High performance computing for simulation tools Social dimensions of flood risk and adaptation behaviors Dr. Sanders' recent publications (2024-2025) reveal a comprehensive research program addressing both technical and social aspects of flood risk. His work spans computational hydrodynamics, flood hazard mapping, infrastructure vulnerability assessment, and the socioeconomic dimensions of flood risk. He has made significant contributions to understanding multi-grid modeling of urban flooding, post-fire flood hazards, satellite-based monitoring of land motion, and social inequalities in flood exposure. His research demonstrates how flood dynamics are more complex than simple bath-tub filling models suggest, with important implications for urban planning and climate adaptation. Dr. Sanders has received recognition as a Chancellor's Professor at UC Irvine, indicating distinguished scholarly achievement. His educational background includes: Ph.D. in Civil Engineering from the University of Michigan (1997) M.S. in Civil Engineering from the University of Michigan (1994) B.S. in Civil Engineering from the University of California, Berkeley (1993)

Jaline L Gerardinمشاهده پروفایل

دانشیار

• Epidemiology
• Malaria
• Infectious Diseases
• +۷ مورد دیگر

Jaline L Gerardin is an Associate Professor in Preventive Medicine (Epidemiology) and McCormick School of Engineering at Northwestern University. She is affiliated with the Center for Global Health, Institute for Public Health and Medicine (IPHAM), Northwestern Institute on Complex Systems, and Robert J. Havey, MD Institute for Global Health. Her career focuses on malaria modeling and public health interventions. Current affiliations: Northwestern University, IPHAM, NICO, Center for Global Health Prior role: Malaria lead at Institute for Disease Modeling Research Focus: Gerardin specializes in malaria transmission modeling and public health intervention optimization . Her work addresses subnational tailoring of malaria strategies, intervention mix analysis for elimination, and ethical modeling practices. She integrates multidisciplinary data (entomology, immunology, demography) into agent-based models to guide policy in resource-limited settings. Article Trends: Recent publications emphasize subnational malaria intervention prioritization (Guinea, Nigeria), diagnostic performance evaluation, human mobility impacts on transmission, and wastewater surveillance applications for disease modeling. Leadership Roles: Co-chair: American Society of Tropical Medicine and Hygiene symposia Member: WHO working groups, Malaria Modeling Consortium Advisor: WHO Malaria Multi-Model Comparison initiatives Education: PhD from University of California, San Francisco (2013)

James Herbert-Readمشاهده پروفایل

دانشیار

• Behavioural Ecology
• Marine Biology
• Collective Animal Behaviour
• +۴ مورد دیگر

Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration

Holly Thorpeمشاهده پروفایل

استاد

• Gender studies
• Feminist methodologies
• Sports science and exercise
• +۱۰ مورد دیگر

Professor Holly Thorpe is a Professor of Sociology in Te Huataki Waiora / School of Health at the University of Waikato, specializing in Sport and Human Movement. She serves as Associate Dean Research in the Division of Health PVC Office and is an internationally recognized sociologist of sport, physical culture and gender whose work has earned prestigious fellowships and awards including Fulbright, Leverhulme, and Royal Society honors. Her educational background includes a PhD from the University of Waikato and Papa Reo Level 1 certification from Te Wananga o Aotearoa, reflecting both academic excellence and cultural engagement with Māori language and knowledge systems. Professor Thorpe's research centers on equity and inclusion in sporting cultures, with particular attention to women's health and wellbeing, sport and gender, and the impact of social media on athletic experiences. She employs critical and feminist theoretical frameworks with expertise in qualitative methods to examine how sport, physical activity, and health intersect in rapidly changing social landscapes. Her work spans gender studies, feminist methodologies, sports science, sociology of health, and digital media studies within sporting contexts, with a strong commitment to community-engaged research. Her extensive publication record reveals consistent thematic focus on contemporary issues including menstruation in sport, digital technologies and athlete experiences, pandemic impacts on wellbeing, and the gendered dimensions of mega-sport events. Her work frequently employs intersectional analysis and collaborates across disciplines to address complex questions about embodiment, identity, and social change in sporting cultures, particularly as they relate to women and marginalized communities. Professor Thorpe's significant scholarly recognition includes: Royal Society Early Career Research Excellence Award for Social Sciences (2018) Fellow of the North American Society for the Sociology of Sport (2018) Royal Society James Cook Fellowship for a two-year project focused on women's wellbeing through and beyond pandemic (2021) She actively supervises students and has secured substantial research funding including the Te Punaha Matatini CORE Research Institute project 'Youth Wellbeing in Uncertain Times: The Voices of Rangatahi from Flood-Effected Tairāwhiti Gisborne' (2023-2025). Professor Thorpe collaborates extensively with international and national sports organizations including the International Olympic Committee, High Performance New Zealand, Sport New Zealand, Skateistan, and Voice in Sport to ensure her research has real-world impact on policy and practice. She serves as Series co-editor for 'New Femininities in Digital, Physical and Sporting Cultures' and maintains active media engagement through The Conversation and other outlets. Professor Thorpe leads several significant research initiatives including 'Reimagining Fields of Play' (2023) and co-organized the 'Gender, Health and Wellbeing Symposium' (2022), demonstrating her commitment to creating spaces for critical dialogue about sport, gender, and health while advancing culturally responsive methodologies that center Indigenous and diverse perspectives.

• Bayesian Statistics
• Ecological Statistics
• Capture-Recapture Modeling
• +۵ مورد دیگر

Prof. Ruth King is the Thomas Bayes’ Professor of Statistics at the University of Edinburgh’s School of Mathematics. Her research focuses on applying Bayesian statistical methods to ecological and public health challenges, including population estimation for hidden groups (e.g., injecting drug users, modern-day slaves) and wildlife conservation. She develops computationally efficient techniques for analyzing large datasets, such as spatial capture-recapture models for animal populations and spatio-temporal abundance models for hidden human populations. Key projects include estimating survival rates of guillemots (30,000 individuals) and improving capture-recapture models to account for animal movement dynamics. Her work bridges statistical methodology with real-world applications, emphasizing rigorous inference and scalable algorithms. King’s academic contributions span Bayesian modeling frameworks, parameter clustering in neuroscientific data, and hierarchical centering in random effects models. She collaborates with biologists and policymakers to address conservation and public health issues. Notable recent projects include incorporating memory effects into spatial capture-recapture models and developing semi-complete data augmentation for state-space models. Her interdisciplinary approach addresses challenges in ecology, epidemiology, and computational statistics, with a focus on methodological innovation for large-scale data. Her scientific contributions are highlighted through over 100 peer-reviewed articles, including work on integrated population models, animal movement dynamics, and hidden Markov models for seabird behavior. King emphasizes the importance of statistics in uncovering hidden information within datasets, advocating for robust methodologies that ‘stand up in court’ when applied to critical real-world problems.

Ty Ferréمشاهده پروفایل

استاد

• Hydrologic Decision-Making
• Subsurface Hydrology
• Geophysical Methods
• +۲ مورد دیگر

Ty Ferré is a University Distinguished Professor in Hydrology and Atmospheric Sciences at the University of Arizona. His research improves measurement selection for hydrologic decision-making through integrated physical models, instrument response modeling, and inverse methods. Ferré's work focuses on subsurface processes, vadose zone dynamics, and climate interactions. He develops methods to incorporate geophysical data into hydrologic analysis and studies water movement in complex environments.

Andrew Gersickمشاهده پروفایل

مدرس

• Animal Behavior
• Collective Behavior
• Social Dynamics
• +۳ مورد دیگر

Andrew Gersick is a Lecturer in the Department of Ecology and Evolutionary Biology at Princeton University. His research focuses on animal behavior, particularly in large social species such as spotted hyenas, zebras, and cowbirds. He explores topics including collective behavior, social dynamics, communication systems, and ecological adaptations. His work integrates field studies with technological tools like accelerometers to analyze activity patterns and signaling mechanisms. Notably, he investigates how zebra stripes repel biting flies and how hyenas use vocalizations for individual recognition. Gersick also contributes to conservation efforts, such as the Great Grevy’s Rally in Kenya, and studies social learning in avian species like cowbirds. His recent articles highlight interdisciplinary approaches, combining ecology, physiology, and technology to understand animal behavior in natural and social contexts. While no awards are explicitly listed, his contributions to understanding collective behavior and conservation biology are significant. Advising and grants: No formal advisees or grant details are provided in the text. His work appears to focus on collaborative research and field-based methodologies. Labs/Teams: No specific laboratory or team affiliations are mentioned beyond his departmental role at Princeton.

Steven A. Millerمشاهده پروفایل

استاد

• Personality characteristics
• Individual differences
• Emotional experiences
• +۵ مورد دیگر

Dr. Steven A. Miller is a Professor of Psychology in the Department of Psychology at Rosalind Franklin University of Medicine and Science, within the College of Health Professions. He joined RFUMS in 2013 and serves as a statistics consultant for the university. His academic background includes a PhD in Social Psychology from Loyola University Chicago, an M.S. in Psychology from Illinois State University with specialization in Clinical Psychology, and an M.S. in Mathematics from Loyola University Chicago with specialization in Probability and Statistics. PhD in Social Psychology, Loyola University Chicago M.S. in Psychology, Illinois State University (Clinical Psychology specialization) M.S. in Mathematics, Loyola University Chicago (Probability and Statistics specialization) Dr. Miller's research focuses on the intricate relationship between personality characteristics/individual differences and emotional experiences. He investigates anxiety and emotional disorders, social cognitive models of personality, and applies quantitative methodology to psychological questions. His work examines intra-individual variability in emotional responses and how situational factors interact with personality to shape emotional experiences. He employs diverse methodologies including experience sampling studies and laboratory experiments to explore these complex dynamics. His recent publications demonstrate a strong focus on psychopathy, emotion regulation, network analysis of personality, and the tripartite model of anxiety and depression. His work spans clinical, forensic, and general populations, often employing sophisticated statistical techniques. There's a clear trajectory toward more complex modeling approaches including network analysis, longitudinal modeling, and advanced psychometric techniques across his publication history. Accredited Professional Statistician (PStat®) with the American Statistical Association Chartered Statistician (CStat) with the Royal Statistical Society Dr. Miller actively mentors graduate students, with numerous student co-authors appearing in his publications. He teaches advanced statistical courses including multivariate statistics, longitudinal models, and categorical data analysis. He is currently accepting doctoral students for the 2026/2027 academic year. His collaborative research spans multiple institutions including DePaul University and Texas A&M, focusing on emerging adults, romantic relationships, and chronic illness. His research laboratory examines the fundamental relationship between personality and emotion, exploring how situational contingencies and individual expectancies shape emotional responses. Current collaborative projects investigate daily experiences of emerging adults, psychopathy in romantic relationships, and social media use among individuals with chronic illness using diverse methodological approaches.

John R Andersonمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Cognitive Science
• Computational Psychology
• +۳ مورد دیگر

John R Anderson is the Richard King Mellon University Professor of Psychology and Computer Science at Carnegie Mellon University (CMU), affiliated with the Department of Psychology within the Dietrich College of Humanities and Social Sciences. His research focuses on understanding higher-level cognition, particularly mathematical problem-solving, through the development of the ACT-R cognitive architecture—a computational framework simulating human cognitive processes. This architecture integrates behavioral, neural, and educational data to model learning and decision-making. Anderson’s work bridges cognitive science, neuroscience, and educational technology. He investigates how brain imaging (e.g., fMRI, EEG) can reveal the temporal dynamics of cognitive processes and improve instructional methods. His research emphasizes analyzing brain activity time courses to uncover underlying mechanisms of problem-solving and skill acquisition. Key Research Themes: Cognitive architectures, neural correlates of learning, computational models of memory, and intelligent tutoring systems. Notable Contributions: Development of the ACT-R architecture, integration of neuroimaging with cognitive modeling, and studies on skill transfer and learning strategies. Anderson’s publications include seminal books like Cognitive Psychology and Its Implications and How Can the Human Mind Occur in the Physical Universe? His work has advanced understanding of associative memory, strategic decision-making, and the application of cognitive models in educational technology. His lab, the ACT-R Research Group, collaborates across disciplines to model complex cognitive tasks and their neural foundations. Current projects analyze real-time brain activity to refine educational interventions and improve human-machine interaction.

John Capobiancoمشاهده پروفایل

استاد

• Nanoscience
• Inorganic Chemistry
• Materials Science
• +۷ مورد دیگر

John Capobianco, PhD, is a Professor in the Department of Chemistry and Biochemistry at Concordia University and holds the Honorary Concordia University Research Chair in Nanoscience. His research focuses on lanthanide-doped nanoparticles, upconversion luminescence, and biomedical applications. PhD, University of Geneva Key research areas include: Nanomaterials synthesis and spectroscopy Upconversion for biomedical imaging Drug delivery systems Photodynamic therapy for cancer treatment Optical thermometry and sensing Recent publications highlight advancements in: X-ray detection via photochromic nanoparticles Lipid-coated nanoparticles for lung permeation Cooperative energy transfer in Yb3+/Eu3+ complexes Biocompatible nanomaterials for secure information storage Pr3+-doped radiosensitizers for glioblastoma therapy Scientific recognitions: Honorary Concordia University Research Chair in Nanoscience Teaching includes undergraduate and graduate courses in inorganic chemistry and spectroscopy. His work bridges fundamental material science with applied biomedical engineering, emphasizing optical properties and therapeutic applications of lanthanide-based nanomaterials.

Moncef Gabboujمشاهده پروفایل

استاد

• Machine learning
• Artificial intelligence
• Signal processing
• +۹ مورد دیگر

Professor Moncef Gabbouj is a distinguished academic and researcher currently serving as Professor of Signal Processing at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Finland. Previously, he held the same position at Tampere University of Technology before the merger in 2019. He has also held visiting professorships at prestigious institutions including Hong Kong University of Technology and Science, University of Southern California, and Purdue University. Ph.D. and MSc. in Electrical Engineering from Purdue University, USA (1989 and 1986) B.Sc. in Electrical Engineering from Oklahoma State University, USA (1985) Prof. Gabbouj's research spans multiple domains within signal and image processing, with a strong focus on machine learning applications. His primary research interests include artificial intelligence, machine learning, Big Data analytics, multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing, voice conversion, and video processing and coding. His work bridges theoretical advancements with practical applications across various industries, particularly in multimedia communications and biomedical applications. His extensive publication record demonstrates a clear evolution from traditional signal processing techniques toward more sophisticated machine learning and deep learning approaches. Recent work shows increasing focus on convolutional neural networks for various applications including ECG classification, video processing, financial time-series analysis, and image recognition tasks, reflecting the broader trend in the field toward deep learning methodologies while maintaining strong foundations in signal processing theory. IEEE Fellow (2011) Member, Finnish Academy of Science and Letters (2014) Knight, First Class, of the Order of the White Rose of Finland (2006) Nokia Foundation Recognition Award (2005) Nokia Foundation Visiting Professor Award (2012) Finnish Cultural Foundation for Art and Science Award (2017) TUT Foundation Grand Award (2015) Prof. Gabbouj has supervised 64 doctoral and 72 Master's theses, demonstrating his significant contribution to academic mentoring. His research has been supported by substantial funding, including research grants totaling 8.5 million Euro (2001-2015). He has served as Academy of Finland Professor during 2011-2015 and has been involved in numerous EU research projects including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus programs. As Editor, Guest Editor or member of the Editorial Board of 6 international scientific journals, he has significantly influenced the academic discourse in his field. He leads the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University and serves as the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics. His research unit focuses on applying advanced machine learning techniques to solve complex problems in signal processing, computer vision, and multimedia analytics, with applications ranging from healthcare to multimedia communications and financial analysis.

Onur Varolمشاهده پروفایل

استادیار

• Computational Social Science
• Network Science
• Machine Learning
• +۴ مورد دیگر

Onur Varol is an Assistant Professor at Sabanci University's Computer Science Department and leads the VIRAL Lab, which focuses on computational social science, network science, and machine learning. He has affiliations with the Center of Excellence for Data Analytics. His research spans social bot detection, misinformation analysis, and online behavior modeling.

• Financial Engineering
• Stochastic Processes
• Data Analytics
• +۳ مورد دیگر

Richard B. Sowers is a Professor at the University of Illinois at Urbana-Champaign, holding joint appointments in the Department of Industrial and Enterprise Systems Engineering, Mathematics, and Statistics (courtesy). He has held faculty positions since 1996, starting as an Assistant Professor in Mathematics and advancing to Professor across multiple departments. His research spans stochastic processes, financial engineering, and data analytics. He also serves as a Research Principal at the Office of Financial Research since 2012. Education: B.S. in Electrical Engineering (Drexel University, 1986), M.S. and Ph.D. in Applied Mathematics (University of Maryland, 1988 and 1991). Research Interests: Financial networks, stochastic systems, and applications in decision-making and control. His work bridges theoretical probability with practical domains like finance and healthcare. Recent articles focus on machine learning applications in gait analysis for neurological disorders and stochastic modeling in financial systems. Professional Contributions: Taught courses in stochastic calculus, deep learning, and financial mathematics. His research often involves interdisciplinary collaboration, including projects on credit risk, algorithmic trading, and wearable technology for health monitoring. Labs/Teams: Active in the Institute for Predictive and Computational Science, focusing on data-driven solutions for complex systems.

James Mahoneyمشاهده پروفایل

استاد

• Comparative Sociology
• Political Development
• Methodology
• +۳ مورد دیگر

James Mahoney is the Gordon Fulcher Professor of Decision-Making, Professor of Sociology, and Professor of Political Science at Northwestern University. His work focuses on comparative-historical analysis, political development in Latin America, and methodological innovations in social sciences. He has authored and edited influential books such as Advances in Comparative-Historical Analysis (2015) and A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences (2012). Mahoney has held leadership roles including President of the Qualitative and Multi-Method Research Section at APSA and Chair of Sociology at Northwestern. His research has received multiple awards from ASA and APSA for methodological contributions and his book Colonialism and Postcolonial Development earned six major awards. His teaching includes courses like Comparative Historical Analysis and Global Development . Mahoney advocates for methodological pluralism, emphasizing integration of qualitative and quantitative approaches. His recent work examines historical institutionalism, Latin American political trajectories, and causal mechanisms in social science explanations. He has also contributed to debates on process tracing and set-theoretic methods in comparative research. Key areas of study include colonial legacies, state formation, and constitutional evolution in Latin America. Mahoney’s interdisciplinary approach bridges sociology, political science, and historical analysis, producing foundational texts for graduate and undergraduate education in social sciences.