جست‌وجوی استاد و پژوهشگر

Douglas Leasureمشاهده پروفایل

پژوهشگر ارشد

• Demography
• Population Ecology
• Bayesian Statistics
• +۳ مورد دیگر

Douglas Leasure is a Senior Researcher and Data Scientist in the Demographic Science Unit at the Nuffield Department of Population Health, University of Oxford. His work focuses on developing novel methods to map population demographics using Bayesian statistics, remote sensing, and machine learning, particularly in data-sparse regions. He emphasizes open science and creating interactive tools for stakeholder engagement. Previously led the Spatial Statistical Population Modelling team at WorldPop (University of Southampton) Postdoctoral research at the River Basin Center, University of Georgia, and USGS Cooperative Fish and Wildlife Research Unit PhD in Biological Sciences from the University of Arkansas Research interests include: High-resolution population estimation using social media and satellite data Hierarchical Bayesian modeling for uncertainty quantification Applications in crisis response, global health, and census support Prior grants supported initiatives by the Bill and Melinda Gates Foundation and UN Population Fund. He leads teams in statistical population modeling and ecological forecasting.

• Artificial Intelligence
• Machine Learning
• Causal Inference
• +۳ مورد دیگر

Mengyan Zhang is a Researcher at the Department of Computer Science, University of Oxford. Their work focuses on advancing artificial intelligence and machine learning techniques, particularly in applications such as epidemiological modeling, causal inference, and optimization. Mengyan's research bridges theoretical foundations with practical challenges in public health, remote sensing, and synthetic biology. Key research interests include developing AI-driven frameworks for disease surveillance, Bayesian optimization methods with integrated feedback, and uncertainty-aware regression for socio-economic estimation. Their contributions span graph-based algorithms, transformer neural processes, and adaptive recommendation systems with bandit feedback mechanisms. Mengyan’s publications explore cutting-edge topics like causal Bayesian optimization, Gaussian process bandits, and personalized news recommendation. Their work emphasizes interdisciplinary applications, from healthcare analytics to genetic sequence design. While no specific awards or grants are listed, Mengyan’s research demonstrates a strong focus on addressing real-world challenges through innovative machine learning approaches. The lack of student or lab affiliations suggests a primary focus on independent research contributions.

Guillermo Herreraمشاهده پروفایل

استاد

• Environmental Economics
• Natural Resource Management
• Fisheries Management
• +۳ مورد دیگر

Guillermo Herrera is a Professor of Economics at Bowdoin College, affiliated with the Economics Department. His academic journey includes an A.B. in Biology (Harvard College), M.S. in Quantitative Ecology & Resource Management, and M.A./Ph.D. in Economics (University of Washington). He focuses on the intersection of natural systems and human communities, particularly fisheries management, environmental economics, and bioeconomic modeling. His research addresses challenges in fisheries governance, spatial resource management, and policy impacts. Professor Herrera collaborates with institutions like the Gulf of Maine Research Institute and Woods Hole Oceanographic Institution (WHOI), where he is an Adjunct Scientist. He teaches microeconomics and environmental economics courses, emphasizing interdisciplinary approaches. His work has been supported by NSF, NOAA, and USAID, focusing on sustainable resource use and socioecological systems. His articles explore spatial dynamics in fisheries, regulatory frameworks, and ecosystem externalities. Key themes include marine reserve economics, optimal harvest strategies, and policy design under uncertainty. While no explicit awards are noted, his research has been published in high-impact journals like PNAS and the American Journal of Agricultural Economics. Herrera advises the Bowdoin Cycling Club and has mentored numerous students in environmental and policy research. He collaborates across disciplines to address Maine’s river restoration policies and global fisheries governance, emphasizing knowledge-to-action outcomes.

Mooi Choo Chuahمشاهده پروفایل

استاد

• Computer Vision
• Autonomous Systems
• Cybersecurity
• +۳ مورد دیگر

Mooi Choo Chuah is a Professor in the Department of Computer Science & Engineering at Lehigh University. She serves as the associate director of I-DISC and previously held the NSF Advance Chair at Lehigh (2011). A renowned expert in autonomous systems, cyber-physical systems security, and healthcare technologies, she holds over 78 patents (63 U.S. + 15 international) in networking and AI domains. Her work spans efficient computer vision, autonomous vehicle perception, mobile healthcare systems, and resilient smart grid networks. Dr. Chuah earned her Ph.D. and M.S. in Electrical Engineering from UC San Diego, and a B.Eng. (1st Class Honors) from the University of Malaya. Her research focuses on cross-disciplinary innovations in AI-driven healthcare solutions, cybersecurity for industrial systems, and advanced vision systems for autonomous technologies. Her publications emphasize cutting-edge advancements in 3D human pose estimation, low-light imaging, and autonomous system robustness. Recent work addresses adversarial attacks on trajectory prediction models and novel semantic segmentation techniques for UAV inspections. Her 2021–2025 articles reflect a growing focus on multimodal fusion, event-based sensors, and real-time cybersecurity solutions. Awards: IEEE Fellow (2023), NAI Fellow (2023) Grants: Extensive NSF and industry-funded projects on smart grids and healthcare AI Labs: Leads I-DISC initiatives in interdisciplinary computing and security

Christoph Kinkeldeyمشاهده پروفایل

مدرس

• Data Visualization
• Visual Analytics
• Uncertainty Visualization
• +۳ مورد دیگر

Prof. Christoph Kinkeldey is a Lecturer at Hamburg University of Applied Sciences, affiliated with the Department of Information, Media and Communication within the Faculty of Design, Media and Information. He holds a doctorate in Geoinformatics from HafenCity University Hamburg (2015) and has conducted research globally, including at PennState University, University of Melbourne, and Inria. His work focuses on data visualization, visual analytics, and uncertainty visualization, emphasizing how visual tools aid decision-making in complex data environments. Education: PhD in Geoinformatics, HafenCity University Hamburg (2015) Research Interests: Interactive visual data analysis Uncertainty communication in visualizations Blockchain data exploration (e.g., Bitcoin network analysis) Evaluation of visualization techniques His research bridges cartography, computer science, and human-centered design to empower diverse stakeholders in understanding complex information. Publications: Recent work emphasizes uncertainty visualization for data analysts, machine learning interpretability, and blockchain analytics. Key contributions include the BitConduite tool for Bitcoin network analysis and participatory design methods for non-technical users. Awards: 2016 VAST Mini Challenge 2: Honorable Mention for Clear Analysis Strategy Advising & Collaboration: Currently on parental leave until August 2024, he collaborates with the gicentre (City, University of London) and Monash University’s Department of Human-Centered Computing. His research teams focus on interdisciplinary projects merging visualization theory with practical applications. Labs/Teams: Active in the gicentre’s visualization initiatives and Monash’s Human-Centered Computing group, contributing to open-source tools and international research networks.

Elisabet Tubau Salaمشاهده پروفایل

استاد

• Probabilistic Reasoning
• Cognitive Psychology
• Decision Making
• +۳ مورد دیگر

Elisabet Tubau Sala is a Full Professor at the Universitat de Barcelona , affiliated with the Department of Cognition, Development and Educational Psychology within the Faculty of Psychology . Her research focuses on probabilistic reasoning, learning processes, and decision-making mechanisms. She has led projects funded by institutions like Spain's Ministry of Science and the Catalan Agency for Management of University and Research Grants. Education: Psychology Degree (1984) - Universitat de Barcelona Doctorate (1987) - Universitat de Barcelona Recent Research Themes: Cognitive mechanisms behind Bayesian problem-solving challenges Role of visual aids in improving risk comprehension Educational interventions targeting causal reasoning biases Perceived severity effects in medical judgments Multi-object tracking models integrating speed/position data Cognitive control in math-anxious individuals Key Projects (2017-2024): 3D Space Updating from Optical Flow (PID2020-114713GB-I00) Vision and Action Control (VISCA) research group (2017-2021) Teaching Activities (Past 5 years): Cognitive Numeracy and Numerical Processing Disorders (Undergraduate) Perception, Action & Consciousness (Master's) Thinking & Problem Solving (Undergraduate) Her work bridges cognitive psychology with educational applications, emphasizing probabilistic reasoning's role in real-world decision contexts.

• Augmented Reality
• User Experience
• Virtual Environments
• +۵ مورد دیگر

Frank Biocca is a Professor in the Department of Informatics at New Jersey Institute of Technology (NJIT). His research focuses on augmented reality, user experience, virtual environments, and human-computer interaction. He has led or co-led multiple federally funded projects, including studies on interactive deception analysis, wearable augmented reality interfaces, and the molecular mechanisms of RNA processing. Biocca’s work bridges technology design and psychological impacts, with applications in health communication, transportation, and media studies. He has authored over 100 publications and contributed to interdisciplinary collaborations across computer science, neuroscience, and social sciences. Key research projects include the NSF-funded 'Mobile Infospaces' initiative (2002-2006), exploring augmented reality interface design, and the ongoing 'POLYAMACHINES' project (2007-2022) investigating RNA polyadenylation mechanisms. His recent publications address algorithmic transparency in news systems, spatial presence in digital displays, and trust in mobility-as-a-service technologies. Biocca has advised numerous projects at NJIT, integrating cutting-edge technologies like spatial augmented reality and VR headsets. His contributions to HCI and media studies have been recognized through sustained academic engagement and collaborations with institutions worldwide. Current research trends emphasize ethical implications of AI-driven media and immersive technology’s role in health interventions.

• Digital Soil Mapping
• Soil Organic Carbon
• Machine Learning Applications
• +۳ مورد دیگر

Laura Poggio serves as a Research Associate at ISRIC - World Soil Information, which operates under Wageningen University & Research. Her work focuses on advancing digital soil mapping methodologies and global soil information systems through interdisciplinary research combining remote sensing, machine learning, and soil science. Her primary research interests include: Digital Soil Mapping at multiple scales (local to global) Soil Organic Carbon monitoring using satellite imagery Machine learning applications for soil property prediction Global soil information systems development (notably SoilGrids) Integration of remote sensing data with soil databases Analysis of her 15 most recent publications reveals strong emphasis on continental-scale soil monitoring systems, particularly using Sentinel-2 satellite data for soil organic carbon assessment across Europe. Her work consistently addresses methodological challenges in handling spatial uncertainty, integrating multi-source data, and developing scalable models applicable from local to global contexts. Key technological approaches include machine learning algorithms (particularly Random Forest), survival probability models for censored data, and multi-sensor remote sensing integration. Her research output demonstrates significant collaboration across European institutions through projects like EJP SOIL and contributions to the Global Soil Partnership. While no specific awards are documented in the available materials, her work shows substantial scholarly impact through high citation counts and dataset adoption. Dr. Poggio actively contributes to soil science through conference presentations and supervised research work, particularly focusing on operational implementation of digital soil mapping for environmental monitoring and policy support.

Helen Huangمشاهده پروفایل

دانشیار

• Biomechanics
• Neuroengineering
• Locomotion
• +۳ مورد دیگر

Helen Huang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). She directs the Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Laboratory, where her team—comprising students from biomedical, mechanical, and electrical engineering—investigates motor adaptation, gait neuromechanics, and rehabilitation technologies. Her lab focuses on brain dynamics during locomotion, robotic rehabilitation devices, and advanced EEG/EMG methodologies for young and older adults. Education: Huang holds a B.S. in Materials Science and Engineering from MIT and M.S./Ph.D. in Biomedical Engineering from the University of Michigan. Prior to academia, she worked as a materials engineer at Michelin and completed postdoctoral training at the University of Colorado and University of Michigan. Research Focus: Her interdisciplinary work bridges biomechanics, neuroengineering, and rehabilitation science. Key areas include: Motor adaptation and brain dynamics during gait perturbations Robotic interventions for balance and fall prevention in aging populations Novel electrophysiological methods (EEG/EMG) for movement analysis Neuromechanical factors in interlimb coordination and stability Publication Trends: Her recent articles (2018-2024) demonstrate evolving emphasis on EEG artifact mitigation, gait perturbation responses in aging, wearable sensor development, and equity in neurodiagnostics. Methodologically, they integrate biomechanical modeling, clinical psychophysiology, and rehabilitation technology validation. Awards & Honors: 2021 UCF Reach for the Stars & Research Incentive Award 2020 UCF Luminary Award and ASB President’s Award NSF CAREER Award for EEG artifact research Invitation to U.S. National Academy of Engineering symposium (2019) NIH grantsmanship fellowship (2017) Grants & Leadership: NIH/NIA R25 multi-PI for diversity in aging research (2023-2028) NIH R01 PI for gait perturbation studies (2017-2022) Leads BRaIN Lab with cross-disciplinary student teams Teaching: Courses include Advanced Biomechanics (BME 6215), Engineering Biomechanics (BME 3211), Bioinstrumentation (BME 6500), and special topics in biomedical engineering.

Veronica Websterمشاهده پروفایل

دانشیار

• Flood Frequency Analysis
• Climate Change Impacts
• Uncertainty Analysis
• +۴ مورد دیگر

Dr. Veronica L. Webster is an Associate Professor in the Department of Civil & Environmental Engineering at Michigan Technological University. She holds a BS from the University of Vermont and MS/PhD from Cornell University. Her research focuses on flood frequency analysis, climate change impacts, uncertainty analysis, and land use changes affecting flood risks. She received the NSF CAREER Award for her work integrating climate variability and human-induced hydrologic shifts into flood risk projections. Education: BS in Civil Engineering, University of Vermont MS/PhD in Civil Engineering, Cornell University Research Interests: Dr. Webster’s work examines extreme hydrologic events, climate adaptation strategies, and data-driven methodologies for flood risk assessment. Her contributions include advancing statistical techniques for regional flood analysis and evaluating human-environment interactions in watersheds. She actively engages in professional organizations like the ASCE Environmental Water Resources Institute. Grants & Awards: NSF CAREER Award (2011–2018) for flood risk projections Co-PI on international engineering programs in Tanzania Recipient of S-STEM graduate scholarships Academic Contributions: She teaches courses on stochastic hydrology, water resources engineering, and uncertainty analysis. Her funded research has supported over 30 students through scholarships and international fieldwork opportunities.

Xudong Fanمشاهده پروفایل

استادیار

• Urban Water Systems
• Resilience and Sustainability
• Artificial Intelligence
• +۳ مورد دیگر

Xudong (Andrew) Fan is an Assistant Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo (UB), part of the School of Engineering and Applied Sciences. His research focuses on urban water systems, resilience and sustainability in water infrastructure, and applications of artificial intelligence in complex networks. He holds a PhD in Civil and Environmental Engineering from Case Western Reserve University (2022), an MS in Structural Engineering from Tianjin University (2017), and a BS in Civil Engineering from Central South University (2014). Dr. Fan's work integrates advanced computational methods with civil engineering challenges, particularly in enhancing infrastructure resilience through AI-driven approaches. His research spans smart city technologies, climate change adaptation, and bio-based solutions for soil stabilization and frost heave mitigation. Notable contributions include developing graph neural networks for spatially embedded network analysis and machine learning models for predicting water infrastructure failures. His publications reflect a strong emphasis on interdisciplinary problem-solving, combining data science with traditional engineering domains. While no specific awards are listed, his prolific output since 2020 highlights his active engagement in cutting-edge research areas such as AI for water systems and sustainable materials innovation.

Nick Couldryمشاهده پروفایل

استاد

• Media Studies
• Communication Theory
• Social Theory
• +۳ مورد دیگر

Nick Couldry is a Professor of Media, Communications and Social Theory at the Department of Media and Communications, London School of Economics and Political Science (LSE), where he also serves as Head of Department. He holds an adjunct professorship at RMIT University in Melbourne, Australia. His academic journey includes visiting roles at institutions like the University of Pennsylvania, Stockholm University, and the University of Toulouse. Education: PhD in Media and Communications (1998, London University); MA in Media and Communications (1994, London University); BA Classics with Philosophy (1981, Oxford University, First Class Honours). His legal training includes the Law Society Final Examination (1983, Honours). Research focuses on media institutions' role in shaping social, political, and cultural orders, particularly the symbolic power of media. His work bridges media studies, social theory, and ethical analysis. Awards include the 2015 Doctor Honoris Causae from Södertörn University and recognition of his 2012 book as an Outstanding Academic Title by Choice magazine. His publications span media ethics, digital media practices, and global media dynamics.

Jiong Tangمشاهده پروفایل

استاد

• System Dynamics
• Control
• Sensing and Automation
• +۷ مورد دیگر

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

Shakiba Enayatiمشاهده پروفایل

استادیار

• Operations Research
• Healthcare Systems Optimization
• Supply Chain Management
• +۳ مورد دیگر

Shakiba Enayati is an Assistant Professor at the University of Missouri-St. Louis (UMSL), specializing in Supply Chain and Analytics. She holds a Ph.D. in Operations Research from North Carolina State University and prior degrees in Industrial Engineering. Her research focuses on stochastic and dynamic systems modeling, particularly in healthcare, supply chain, and service systems, with notable contributions to vaccine distribution strategies and opioid crisis management. She previously served as an Assistant Professor at the State University of New York, Plattsburgh (2017–2020) and held roles at North Carolina State University, including Graduate Research Assistant and Instructor. Her educational background includes a B.S. (2004–2009), M.S. (2009–2012), and Ph.D. (2012–2016) in Industrial Engineering and Operations Research. Her work emphasizes optimizing complex systems to address real-world challenges, such as equitable vaccine distribution and improving emergency medical services. Research Interests: Analytic modeling and optimization of stochastic systems applied to healthcare logistics, supply chain resilience, and public health emergencies. Her recent work includes drone-based vaccine delivery systems and analyzing disparities in pandemic interventions. Enayati teaches courses in Business Analytics, Supply Chain Management, and Prescriptive Analytics. Publications span 2024 to 2017, addressing topics like ambulance service optimization, hybrid procurement strategies, and multi-modal logistics. Her research often bridges theoretical models with practical implementation to enhance decision-making in dynamic environments.

Florian Windhagerمشاهده پروفایل

پژوهشگر

• Cultural Heritage
• Digital Humanities
• Information Visualization
• +۳ مورد دیگر

Florian Windhager is a Senior Researcher at the Center for Cultures and Technologies of Collecting at the University for Continuing Education Krems. His work focuses on Information Visualization , Mental Models , and Cultural Heritage Data , with a strong emphasis on Digital Humanities . He leads projects such as Bibliotheca Eugeniana Digital and Zukunft Kulturpool Visuell , funded by institutions like the Austrian Academy of Sciences (ÖAW). Research interests include: Visual reasoning for cultural and historical data Uncertainty-aware visualization techniques Narrative visualization of biographies and objects Design of scalable visualization frameworks Key projects include: Developing tools for analyzing Prince Eugene of Savoy’s library ( Bibliotheca Eugeniana Digital ) Exploring visual methods for digital cultural preservation Fostering interdisciplinary approaches to cultural data analysis Teaching areas include Information Visualization, Philosophy of Science, and Qualitative Methods. He actively contributes to organizations like the Alliance of Digital Humanities Organizations (ADHO) and the International Big History Association (IBHA) .