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Glenn BoremanView profile

Professor

• Infrared Optics
• Metamaterials
• Antenna Design
• +3 more

Glenn Boreman is a Professor and Chair of the Department of Physics and Optical Science at the University of North Carolina at Charlotte (UNC Charlotte). He also serves as Director of the Center for Optoelectronics & Optical Communications. His academic journey includes a BS in Optics from the University of Rochester and a PhD in Optics from the University of Arizona. Previously, he spent over 27 years at the University of Central Florida, supervising 25 PhD students to completion. His research focuses on infrared antennas, metamaterials, frequency-selective surfaces, and nano-scale optical phenomena. Notable contributions include pioneering work on antenna-coupled infrared sensors and the design of advanced optical systems. He has authored/co-authored over 190 journal articles and four textbooks, including Infrared Detectors and Systems and Modulation Transfer Function in Optical & Electro-Optical Systems . Prof. Boreman holds prestigious fellowships from SPIE, IEEE, the Optical Society of America, and the Military Sensing Symposium. His awards include the 'Best Paper' honor at the 2001 AIAA/BMDO meeting. His lab, the Infrared Systems Lab, actively explores nanofabrication, high-resolution lithography, and advanced sensor technologies. Current doctoral students include Matthew Potter and Frances Bodrucki, both researching infrared devices and metamaterials. He directs interdisciplinary projects involving collaborators from materials science, electrical engineering, and astrophysics.

• Biostatistics
• Public Health
• Epidemiology
• +9 more

Dr. Shuvo Bakar is a Senior Lecturer in the Sydney School of Public Health at the University of Sydney, within the Faculty of Medicine and Health. He holds a PhD in Statistics from the University of Southampton, UK, and has prior experience as an Assistant Professor at Yale University, Lecturer at the Australian National University, and Scientist at Data61 (CSIRO). His research focuses on statistical methods applied to public health challenges, including Bayesian hierarchical modeling, machine learning, spatio-temporal analysis, and their applications in epidemiology, clinical trials, and environmental health. Dr. Bakar's research interests span statistical methodologies such as Bayesian adaptive designs, small area estimation, and spatial risk modeling, alongside applications in child health, infectious diseases, and extreme weather impacts on health. He is an active member of academic communities, including the Royal Statistical Society (RSS Fellow), Statistical Society of Australia, and the Australian Trials Methodology Research Network. His work also involves collaborations on grants totaling millions in funding, addressing topics like climate change impacts on health inequity and cardiovascular disease prevention in remote regions. Education: PhD in Statistics (University of Southampton, UK) Key Research Themes: Obesity, Diabetes, Cardiovascular Disease; Reproductive, Maternal & Child Health Grants/Projects: Includes NHMRC-funded trials on respiratory infections in First Nations children and MRFF grants for cardiovascular risk reduction in regional Australia. Dr. Bakar's contributions extend to editorial roles for Nature Scientific Reports and Discover Public Health , and his research has been published in journals like PloS One , Climatic Change , and Journal of the Royal Statistical Society .

• Applied Microeconomics
• Health Economics
• Education Economics
• +4 more

Gregor Pfeifer is a Senior Lecturer in the School of Economics at the University of Sydney, affiliated with CESifo and IZA. Previously, he was a Senior Research Officer at University College London's Department of Economics. His research focuses on Health, Education, and Public Economics, emphasizing applied microeconometrics for policy evaluation. He holds a Ph.D. from Saarland University. **Education**: Ph.D., Saarland University (Germany). **Research Interests**: Applied Microeconomics, with a focus on causal inference in Health, Education, and Public Policy contexts. His work explores topics like school smoking bans, fuel price policies, and gender wage expectations. **Grants**: Received funding from the Baden-Wuerttemberg Stiftung (€118k, 2017–2019) for STEM education research, the German Research Foundation (€17k, 2017–2018) for school tracking effects, and seed grants for junior researcher networks. **Media**: His work on school smoking bans and gender wage expectations has been covered in outlets like *The Sunday Times* and *Frankfurter Allgemeine Zeitung*. **Affiliations**: Serves as an Associate Editor at *Empirical Economics*. Active in policy evaluation, synthetic control methods, and labor market dynamics.

David UbilavaView profile

Associate Professor

• Commodity Markets
• Price Analysis
• Conflict and Political Violence
• +2 more

Dr. David Ubilava is an Associate Professor in the School of Economics at the University of Sydney, affiliated with the Faculty of Arts and Social Sciences. He holds a PhD in Agricultural Economics from Purdue University (2010) with research focusing on agricultural markets, commodity prices, and the socioeconomic impacts of climate variability and political conflict. His work examines how environmental factors and market dynamics influence food security and social stability in developing regions. Research interests center on: Price analysis and forecasting in commodity markets Climate shocks and agricultural adaptation strategies Political violence and conflict economics Economic development in vulnerable regions Publications demonstrate consistent focus on climate-economy interactions, with recent work examining El Niño impacts on global commodity markets and post-harvest conflict dynamics. Research consistently integrates econometric modeling with development policy applications. Awards & Honors: Quality of Research Discovery Award (2025) Research Collaboration Award, Faculty of Arts and Social Sciences (2024) Teaching Excellence Award, Faculty of Arts and Social Sciences (2017) Currently advises doctoral candidate Gilliane Angela on emerging Asian economies and serves as associate editor for the American Journal of Agricultural Economics (since 2022) and co-editor of Food Policy (since 2018). Research funding includes ARC Discovery Projects on political conflict and food security.

• Immersive Media
• Extended Reality (XR)
• Virtual Reality (VR)
• +6 more

Prof. Jan-Niklas Voigt-Antons is a Professor of Applied Computer Science specializing in Immersive Media at Hamm-Lippstadt University of Applied Sciences. His work focuses on Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), and their applications in healthcare, education, and human-machine interaction. He holds a Dr.-Ing (Engineering Doctorate) and has extensive industry experience with organizations like Daimler AG, Telekom Innovation Laboratories, and the German Research Center for Artificial Intelligence (DFKI). Research interests include user experience (UX) design, emotion analysis in virtual environments, and accessibility for aging populations. He has led projects on wearable health tech, AR/VR usability, and immersive training systems. Notable areas of impact include developing guidelines for inclusive XR interfaces and advancing telemedicine through immersive technologies. Prof. Voigt-Antons has collaborated with Charité – Universitätsmedizin Berlin on healthcare applications and has contributed to standardization efforts in telecommunications. His technical competencies include agile project management, statistical analysis, and mobile application development for iOS/Android. He advises on UX evaluations, usability testing, and physiological data analysis for industry partners. Key achievements include creating the Story Time Dataset for video quality research and developing the ColorTable system for flavor perception studies. His work emphasizes real-world deployment, with projects addressing mobility challenges for seniors in rural areas and improving dementia care through tablet-based interventions.

Danielle SulikowskiView profile

Senior Lecturer

• Comparative Cognition
• Cognition
• Behavioral Ecology
• +6 more

Danielle Sulikowski is a Senior Lecturer and Associate Head of School in the School of Psychology at Charles Sturt University (Bathurst Campus). She holds a PhD from Macquarie University (2010), a BSc(Hons) from Macquarie University (2005), and a BSc from the University of New England (2003). Her research focuses on comparative cognition, integrating psychology, behavioral ecology, and evolutionary principles to study spatial cognition, attractiveness, visual attention, and lateralization in humans and animals like noisy miners. Her teaching responsibilities include PSY201 (Research Methods and Statistics in Psychology) and PSY307 (Cognition), delivered both internally and via distance learning. Key research interests span cognition, learning, perception, biopsychology, and evolutionary psychology, with projects involving human subjects and avian species. She maintains a research laboratory website for her comparative cognition work. Recent publications explore topics ranging from dark personalities in online behavior to facial symmetry studies and evolutionary mate strategies. Her work frequently bridges traditional psychology with ecological and evolutionary frameworks, emphasizing adaptive cognitive mechanisms in foraging and social behavior. No scientific awards are explicitly mentioned, though her extensive publication record reflects significant academic contribution. Teaching and advisory roles include no listed students, but her research engages with broader societal issues like domestic violence policy implications and digital media effects.

P. Michael KosroView profile

Professor

• Coastal Oceanography
• Ocean Circulation
• Remote Sensing
• +3 more

P. Michael (Mike) Kosro is a Professor at Oregon State University, specializing in coastal oceanography and physical oceanography. His work focuses on shelf/deep-sea exchange processes, eastern boundary currents, and the application of remote sensing and ocean acoustics to study ocean circulation. He holds a BA in Physics from the University of California, Santa Cruz (1973) and a PhD in Physical Oceanography from Scripps Institution of Oceanography (1985). Education: BA, UC Santa Cruz (Physics, 1973); PhD, Scripps Institution of Oceanography (1985) His research interests include coastal eddies, poleward undercurrents, and the use of HF radar for surface current mapping. He has contributed to major projects such as GLOBEC (Global Ocean Ecosystems Dynamics) and COAST (Coastal Ocean Advances in Shelf Transport). His work integrates observational data with numerical models to understand coastal circulation dynamics and their environmental impacts. Publications span over 40 years, addressing topics like mesoscale currents, El Niño effects, and the role of physical oceanographic processes in species distribution (e.g., invasive European green crab). His recent work emphasizes long-term data integration and interdisciplinary collaboration in ocean observing systems. Dr. Kosro’s research also explores the interplay between oceanography and marine ecosystems, including carbon transport and biogeochemical cycles. He collaborates with international teams to advance regional ocean observing networks, as seen in studies of the Northeast Pacific.

Igor JankovicView profile

Associate Professor

• Groundwater Hydrology
• Environmental Engineering
• Contaminant Transport
• +2 more

Igor Jankovic is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on groundwater flow and contaminant transport in heterogeneous aquifers, with particular emphasis on the impact of aquifer heterogeneity on solute movement and transport modeling. Education: PhD in Civil Engineering, University of Minnesota (1997) MS in Civil Engineering, University of Minnesota (1993) BS in Civil Engineering, University of Split, Croatia (1990) His work addresses critical issues in groundwater hydrology including: Advective transport mechanisms in heterogeneous media Breakthrough curve prediction and analysis Effective hydraulic conductivity modeling Upscaling of flow and transport parameters Application of the Analytic Element Method (AEM) for complex aquifer simulations Comparison of transport models (CTRW, MRMT) in heterogeneous environments Research trends in his publications reveal a focus on: Three-dimensional heterogeneous aquifer modeling Non-Fickian and anomalous transport behavior Impact of spatial variability on contaminant migration Development of numerical algorithms for large-scale groundwater simulations Validation of stochastic transport theories against field experiments (e.g., MADE and Borden aquifers) Interaction between physical and chemical heterogeneity in reactive transport

• Cognitive Psychology
• Neuroscience
• Visual Perception
• +3 more

Yelda Semizer Kaplan is an Assistant Professor at the New Jersey Institute of Technology within the College of Humanities and Social Sciences . Her research intersects cognitive psychology and visual neuroscience, focusing on fundamental mechanisms of human perception and attention. Specializes in temporal integration and ensemble perception Investigates peripheral vision limitations in complex tasks Develops computational models of maze-solving cognition Key research themes analyze how visual clutter affects search performance, how temporal dynamics influence attentional blink, and how spatial configurations impact cognitive processing. Her work has been featured in Journal of Vision and Attention, Perception & Psychophysics , with collaborations across neuroscience and human factors domains. Media engagement highlights include contributions to NJIT's Research Institutes Showcase (2021) and Cyberpsychology Seminar Series (2021). Current work explores mental maze-solving mechanisms through novel behavioral paradigms.

Fabio PranoviView profile

Professor

• Marine Ecology
• Ecosystem-Based Fisheries Management
• Climate Change Impact on Coastal Ecosystems
• +3 more

Fabio Pranovi is a Full Professor at the Department of Environmental Sciences, Computer Science and Statistics (DAIS) at Ca' Foscari University of Venice , and Laboratory Supervisor at the Responsible for Teaching and Research Activities in the Laboratory (RDRL) . He contributes to the Bauhaus of the Seas Sails (BoSS) and ClimeFish projects. Research Interests: Ecosystem approach to marine renewable resources, Climate change effects on coastal ecosystems, Ecosystem indicators, Spatial-temporal fishing analysis, Adriatic Sea biological communities Key Projects: H2020 BoSS (2023-2026), Interreg ECOSS (2019-2022), FP7 FORCE (2011-2014), PRIN projects on transitional ecosystems Scientific Awards: Editor, Marine Ecology Progress Series (2014) Review Editor, Frontiers in Marine Science Member, Journal of Sustainability & Environmental Management Member, ISRN Ecology Teaching: Offers courses on 'Fundamentals of Restoration Ecology' and 'Fishery Ecology' at bachelor's and master's levels. Chairs the Doctorate of Excellence in Science and Management of Climate Change advisory board.

• Statistical Inference
• Measurement Error Models
• Boundary Crossing Problems
• +3 more

Liqun Wang is a Professor of Statistics at the University of Manitoba, within the Faculty of Science. His research focuses on statistical inference in complex models, measurement error correction, boundary crossing problems in stochastic processes, and Monte Carlo simulation methods. He holds a prominent role in advancing methodologies for nonlinear time series analysis and Bayesian inference. His work integrates theoretical rigor with practical applications, addressing challenges in econometrics, environmental science, and public health. Notable contributions include advancements in instrumental variable estimation, second-order least squares methods, and high-dimensional covariance estimation. He actively mentors graduate students in these areas and has published extensively in top-tier statistical journals. Recent research highlights include Bayesian bias correction techniques, sparse covariance matrix estimation, and modeling SARS-CoV-2 dynamics via wastewater data. His methodologies often bridge computational efficiency with statistical accuracy, making them applicable to diverse fields such as finance, biostatistics, and environmental monitoring. Despite prolific output (over 70 publications since 1990), Dr. Wang has yet to be explicitly noted for formal scientific awards. His academic profile emphasizes methodological innovation, with a strong focus on real-world data challenges and interdisciplinary collaboration.

• Surveying
• Spatial Science
• Built Environment
• +7 more

Dr. Armin Agha Karimi is a Lecturer in the School of Surveying and Built Environment at the University of Southern Queensland. He holds a BSc in Civil Engineering from Tabriz University, an MSc from Middle East Technical University (METU), and a PhD from the University of Newcastle. His research focuses on spatial data integration, cadastral systems modernization, environmental monitoring using remote sensing, and sea level variability analysis. Key research interests include 3D cadastral boundaries in BIM environments, digital twin applications in built environments, and the impact of hydrological loading on land motion. He has contributed to studies on erosion hotspot mapping in Queensland and the implications of coal seam gas activities on land subsidence. His work on Baltic Sea sea level dynamics and Australian coastal projections has advanced understanding of climate-driven environmental changes. Dr. Karimi is affiliated with the Centre for Sustainable Agricultural Systems and actively publishes on geomatics, climate science, and legal aspects of digital surveying. His recent articles highlight innovations in VR-ready survey data transformation and the legal challenges of electronic cadastral plans.

Helga HuntleyView profile

Assistant Professor

• Geophysical Fluid Dynamics
• Oceanography
• Atmospheric Science
• +7 more

Dr. Helga Huntley is an Assistant Professor in the Department of Mathematics at Rowan University's College of Science & Mathematics. Her research applies mathematical principles to solve complex problems in oceanography and atmospheric science, with expertise in Geophysical Fluid Dynamics, Transport and Dispersion Analysis, and Applied Dynamical Systems. She teaches mathematics courses ranging from remedial to graduate level and mentors students in research projects related to her expertise. Her educational background includes: Ph.D. in Mathematics from the Courant Institute, New York University M.S. in Mathematics from the Courant Institute, New York University B.S. in Mathematics from the University of Notre Dame Dr. Huntley's research examines transport patterns in ocean flows, their predictability, and integration of models across different scales. She investigates data assimilation to improve models based on observations and sea ice dynamics. As a data manager in a multi-institutional research consortium, she has developed expertise in preparing, archiving, and sharing diverse research data from lab experiments to field observations and model outputs. Analysis of Dr. Huntley's publication record reveals a strong focus on oceanographic processes using Lagrangian methods to study surface flows and transport phenomena. Her work spans theoretical mathematical modeling, field data analysis, and practical applications related to marine pollution, predator distribution, and climate impacts. A recurring theme is the investigation of submesoscale ocean dynamics and their implications for understanding larger-scale oceanographic processes, with consistent publication output in high-impact journals. Dr. Huntley actively encourages students interested in her research areas to contact her for research opportunities. While specific grant information isn't detailed in the provided materials, her extensive publication record across multiple high-impact journals suggests successful research funding. Her work often involves collaboration with interdisciplinary teams across various institutions. As a data manager in a multi-institutional research consortium, Dr. Huntley has developed expertise in research data management best practices. Her research methodology often involves oceanographic instrumentation and drifter technologies to collect data on surface ocean dynamics, contributing to our understanding of complex fluid dynamics in natural systems.

Natalie Priebe FrankView profile

Professor

• Hierarchical tilings
• Quasicrystals
• Dynamical systems
• +4 more

Natalie Priebe Frank is a Professor of Mathematics and Statistics at Vassar College. She has been affiliated with the university since 2000 and specializes in hierarchical tiling systems, quasicrystals, and dynamical systems. Her work bridges mathematical theory with applications in materials science and art. Education: BS from Tulane University of Louisiana; PhD from the University of North Carolina at Chapel Hill. Research interests include the study of aperiodic tilings, their spectral properties, and connections to quasicrystal structures. She explores how tiling patterns model natural phenomena and has contributed to breakthroughs like the discovery of the aperiodic monotile. Her recent work discusses the implications of hierarchical tilings in understanding non-repetitive patterns and their diffraction properties. Notably, she co-authored the 2023 discovery of the 'einstein' tile, an aperiodic monotile, and has published extensively on substitution tiling dynamics and fractal geometry. Publications span foundational texts like The Tiling Book and peer-reviewed articles on spectral theory and geometric patterns. She actively engages in science communication, featured in Quanta Magazine for her insights on aperiodic tilings' real-world relevance.

Lenka ZdeborováView profile

Associate Professor

• Statistical Physics
• Machine Learning
• Computational Biology
• +3 more

Lenka Zdeborová is an Associate Professor at EPFL, jointly affiliated with the School of Basic Sciences and School of Computer and Communication Sciences. She leads the Laboratory of Statistical Physics of Computational Systems, where her research bridges statistical physics, machine learning, and computational biology. Education: PhD in Physics, Université Paris-Cité (2012) MSc in Fundamental Physics, École Normale Supérieure (2009) BSc in Physics, École Normale Supérieure de Lyon (2007) Her work focuses on phase transitions in learning algorithms, high-dimensional statistics, and neural network theory. Current projects investigate fundamental limits of machine learning, dynamics of graph neural networks, and applications to biological systems. Recent publications explore attention mechanisms in transformers, neural network depth advantages, and Bayes-optimal learning. Methodological innovations include cavity methods for hypergraphs and analysis of high-dimensional inference problems. Supervises doctoral students researching statistical physics approaches to machine learning and optimization. Teaches graduate courses in data science and machine learning for physicists.