جست‌وجوی استاد و پژوهشگر

Stephen Jenkinsمشاهده پروفایل

استاد

• Income Inequality
• Poverty Dynamics
• Labour Market Economics
• +۷ مورد دیگر

Professor Stephen Jenkins is a leading expert in Economic and Social Policy at the London School of Economics and Political Science (LSE) since 2011, with a focus on inequality , poverty dynamics , and applied econometrics . He has held leadership roles including Head of the Department of Social Policy (2016-2019, 2023-2024) and coordinates the Global Inequalities Observatory at LSE’s International Inequalities Institute. Education: BSc in Economics, University of Otago (1974-1977) PhD in Economics, University of York (1983) His research interests span: Analysis of income distribution, redistribution via taxation and social security Income mobility and poverty dynamics Measurement errors in survey and administrative data Survival analysis and limited dependent variable models Recent research trends emphasize: Top-income inequality using tax and survey data Labour market volatility and income risk Policy impacts on inequality and poverty Statistical methods for income distribution analysis Scientific awards and honors : Presidency of three major global associations: IARIW (2006-08), ECINEQ (2021-23), ESPE (1998) Distinguished Fellow of the New Zealand Association of Economists (2019) Research Fellow at IZA, Bonn (since 2000) Editorial leadership roles: Journal of Economic Inequality (2014-17), The Stata Journal (current) Advising and grants : Supervises doctoral research in inequality, poverty, and econometrics Contributed to high-impact policy reports for UK DWP, OECD, and New Zealand Treasury REF2021 Impact Case Study: Better measurement of income inequality Member of scientific advisory boards for IAB, WIFO, and Motu Labs and teams : Coordinator of the Global Inequalities Observatory at LSE Key member of LSE’s Department of Social Policy and International Inequalities Institute Collaborates with institutions including IZA, Motu, and IAB

Nikitas Karanikolasمشاهده پروفایل

استاد

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +۷ مورد دیگر

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

Jing Zhangمشاهده پروفایل

استادیار

• Genomics
• Computational Biology
• Biomedical Informatics
• +۶ مورد دیگر

Dr. Jing Zhang is an Assistant Professor in the Department of Computer Science at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information and Computer Sciences. She holds a Ph.D. in Electrical Engineering and Molecular/Computational Biology from the University of Southern California (2012) and completed postdoctoral training in Computational Biology at Yale University. Her research focuses on developing computational methods to unravel gene regulation mechanisms and link genetic variations to diseases, particularly in noncoding regions of the genome. She has contributed extensively to the ENCODE project, co-authoring pivotal studies in Nature and producing over 5,900 experimental datasets. Dr. Zhang’s work bridges engineering, mathematics, and biology, with applications in precision medicine for cancers and psychiatric disorders. She emphasizes the importance of noncoding DNA in disease causation and has pioneered tools like EN-TEx and scENCORE to analyze epigenomes and regulatory elements. Her lab actively seeks to recruit Ph.D. students, postdocs, and interns to advance genomic technologies. Key research areas include single-cell and spatial transcriptomics, gene regulatory networks, and computational methods for multi-omics data integration. Despite pandemic-related challenges, she maintains strong collaborations and teaches courses in bioinformatics. Her future goals include expanding lab interactions and applying computational models to predict disease susceptibility and treatment responses.

Sara Merino Aceitunoمشاهده پروفایل

استاد

• Kinetic Theory
• Partial Differential Equations
• Mathematical Biology
• +۵ مورد دیگر

Prof. Sara Merino Aceituno is a Professor at the Faculty of Mathematics, University of Vienna, leading research in kinetic theory and its applications to biology, medicine, and social sciences. She holds roles as Vice-Dean of the Faculty and Head of the Institute of Mathematics. Her work bridges mathematical models with experimental data, focusing on emergent phenomena in collective dynamics, opinion formation, and cell behavior. She teaches advanced courses on kinetic theory, biomathematics, and mathematical strategies for learning. Her contributions include modeling cell delamination, nematic alignment, and swarm dynamics through PDEs and probabilistic methods. Collaborations with experimentalists drive her interdisciplinary research. She actively engages in education, advising, and public outreach, including a video series explaining mathematical patterns in nature. Her research emphasizes understanding macroscopic patterns arising from microscopic interactions in complex systems. Education: Holds a PhD in Mathematics, with expertise in kinetic theory and applied partial differential equations. Teaching and leadership roles reflect her commitment to academic excellence and student support. Her work integrates experimental and computational models to study clonal dynamics in tissues and mechanical constraints in epithelial layers. She has authored over 20 papers on topics ranging from active matter to opinion formation networks, contributing to both theoretical advancements and practical applications in biology and social sciences. Research focuses on deriving hydrodynamic and continuum models from particle systems, analyzing stability and bifurcations in collective behavior. Grants and collaborations include the Vienna Biocenter PhD Program and experimental groups in cell biology. Her lab explores how environmental factors influence particle swarms and how mechanical forces shape cell cycles in pseudostratified epithelia.

Ted Mouwمشاهده پروفایل

استاد

• Demography
• Social Stratification
• Economic Sociology
• +۵ مورد دیگر

Ted Mouw is a Professor of Sociology at the University of North Carolina at Chapel Hill. He holds a B.A. in English Literature from Oberlin College, an M.A. in Economics, and a Ph.D. in Sociology from the University of Michigan. His research focuses on demography, social stratification, and economic sociology, with emphasis on labor markets, globalization’s impact, and immigration. Current projects include studies on social mobility in the U.S., economic effects of globalization in Indonesia and Mexico, and labor market dynamics for Hispanic immigrants in North Carolina. He has taught courses such as Social Stratification, Economy and Society, and Applied Regression Analysis, reflecting his expertise in quantitative methods and social theory. His work frequently intersects with the Carolina Population Center and addresses topics like occupational segregation, wage inequality, and transnational social networks. Mouw’s research also explores the interplay between spatial diffusion, migration patterns, and racial/ethnic integration in urban areas.

• Cognitive Neuroscience
• Perception
• Decision-Making
• +۳ مورد دیگر

Prof. Floris de Lange is a Professor at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, and holds a part-time W3-Professorship in Cognitive Computational Neuroscience at the University of Bonn. His research focuses on understanding how top-down factors like goals, attention, expectations, and prior knowledge shape perception, cognition, and decision-making. He uses behavioral and neuroimaging techniques (MEG, fMRI, TMS) to study these processes in healthy and pathological brains. Key research themes include predictive perception, attention, and the neural mechanisms underlying decision-making. His work has been supported by prestigious grants such as the Vici and ERC Consolidator Grants. He teaches courses on Attention and Prediction, Cognitive Control, and Neurophysiology of Cognition and Behaviour. Education: Not explicitly stated in the provided text. Awards: Vici Grant (NWO), ERC Consolidator Grant, Ammodo Science Award, and others. Labs/Teams: Leads the Predictive Perception and Cognition group within the Donders Institute. His research highlights the brain’s predictive nature, demonstrating how expectations modulate sensory processing in early visual cortex and influence decision-making. He collaborates internationally, including an adversarial testing project on theories of consciousness.

Liang Choon Wangمشاهده پروفایل

دانشیار

• Behavioural Economics
• Economics of Education
• Labour Economics
• +۴ مورد دیگر

Liang Choon Wang is an Associate Professor and Economics PhD Program Director at the Department of Economics, Monash University. He holds a PhD from the University of California San Diego (2010), where he was a Spencer Foundation Dissertation Fellow. Prior to joining Monash in 2011, he worked at the World Bank’s Development Research Group in Washington DC. His research focuses on behavioral economics, education economics, labor economics, development economics, public economics, and health economics, employing field/natural experiments and observational data to analyze outcomes in both developed and developing nations such as Australia, Bangladesh, India, and Vietnam. He has led and contributed to research projects including the 'Reliable Affordable Clean Energy for 2030 CRC' and studies on affirmative action, energy conservation, and educational interventions. His work contributes to UN Sustainable Development Goals, particularly in reducing inequalities and promoting sustainable development. Key publications include studies on electoral competence, remote learning efficacy in Bangladesh, and the impact of housing costs on transportation. Education: PhD in Economics, University of California San Diego (2010) Grants/Projects: Multiple grants from RACE for 2030 CRC, World Bank collaborations, and randomized controlled trials in education and health. Teaching: ECC4860 (2012–2015) and ECC2400 (2016–present). Wang’s research emphasizes policy relevance, with contributions to government technical assistance and global equity initiatives. His recent articles analyze low-tech education solutions, energy conservation, and labor market dynamics, reflecting his interdisciplinary approach to socio-economic challenges.

Yudong Chenمشاهده پروفایل

استادیار

• Changepoint Detection
• High-dimensional Statistics
• Robust Statistics
• +۴ مورد دیگر

Yudong Chen is an Assistant Professor in the Department of Statistics at the University of Warwick, starting September 2024. Previously, he was an LSE Fellow (2023–2024) and a postdoctoral researcher at the London School of Economics. He holds a PhD in Statistics from the University of Cambridge (2023), with a thesis on High-dimensional Online Changepoint Detection, supervised by Richard J. Samworth and Tengyao Wang. His research focuses on changepoint detection, high-dimensional statistics, robust methods, and machine learning. Education: PhD in Statistics, University of Cambridge (2023) MA & MMath in Mathematics, University of Cambridge (2018) BA in Mathematics, University of Cambridge (2018) Teaching: University of Warwick: Module leader for ST420 Statistical Learning and Big Data (2024/25) LSE: Taught ST202/6 Probability, ST447 Data Analysis, and ST449 Artificial Intelligence His research interests span statistical methodologies including online algorithms, robust statistics, and spatial models. He has published in top journals like the Journal of the American Statistical Association and presented at venues such as the IMS Annual Meeting. Awards include the LSE Class Teacher Award (2023) and the Smith–Knight Prize (2020). Grants: Worked on EPSRC-funded research on 'Change-point analysis in high dimensions' at LSE. Labs/Teams: Engaged in collaborative projects on online changepoint detection and statistical methodologies.

• Econometrics
• Agricultural Economics
• Resource Economics
• +۳ مورد دیگر

Zheng Li is an Assistant Professor in the Department of Agricultural and Resource Economics at North Carolina State University. His research focuses on econometric methodologies with applications in agricultural economics, resource management, and policy analysis. He holds expertise in nonparametric estimation, quantile regression, and structural econometric modeling. Key research interests include analyzing agricultural production risks, evaluating policy impacts on housing markets, and developing advanced statistical techniques for mixed data types. His work bridges econometric theory with practical applications in environmental, urban, and transportation sectors. Recent publications explore topics such as lung cancer detection via biomedical sensing technologies, ridesharing platform incentives, and pandemic effects on real estate markets. Methodologically, his contributions span kernel-based specification tests, bootstrap methods for heavy-tailed data, and monotonicity-constrained estimation techniques. No scientific awards or formal advisees are listed. His research often intersects with interdisciplinary challenges, reflecting a commitment to innovative solutions in applied economics and data science.

Glenn Boremanمشاهده پروفایل

استاد

• Infrared Optics
• Metamaterials
• Antenna Design
• +۳ مورد دیگر

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
• +۹ مورد دیگر

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
• +۴ مورد دیگر

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 Ubilavaمشاهده پروفایل

دانشیار

• Commodity Markets
• Price Analysis
• Conflict and Political Violence
• +۲ مورد دیگر

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)
• +۶ مورد دیگر

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 Sulikowskiمشاهده پروفایل

مدرس ارشد

• Comparative Cognition
• Cognition
• Behavioral Ecology
• +۶ مورد دیگر

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.