جست‌وجوی استاد و پژوهشگر

Per Kvols Heiselbergمشاهده پروفایل

استاد

• Building physics
• Energy efficiency of buildings
• Zero-energy buildings
• +۱۲ مورد دیگر

Per Kvols Heiselberg serves as Professor and Deputy Head of Department for Research at the Department of Construction, Urban and Environmental Engineering within the Faculty of Engineering and Science at Aalborg University. He leads the Research Group for Energy in Buildings, focusing on building physics and energy efficiency. His research spans over three decades with significant contributions to zero-energy buildings and hybrid ventilation systems. His research interests encompass building physics, energy efficiency of buildings, design and operation of low- and net-zero energy buildings, the role of buildings as 'prosumers' in future smart energy systems, and data analysis for online optimization and fault detection of building operations. He has been internationally recognized for developing concepts for zero-energy buildings and hybrid ventilation through leadership in large international projects. His recent publications (2023-2025) show a strong focus on practical applications of building energy systems, including AHU performance tracking, fault detection methodologies, occupant behavior analysis, and advanced ventilation strategies. His work demonstrates a progression from theoretical building physics to practical implementation and monitoring in real-world buildings. Det Bæredygtige Element, Personprisen (2018) ELforsk Prisen 2017 As indicated by his extensive publication record (over 637 publications) and supervision of 14 PhD students, Professor Heiselberg maintains significant research activity and academic leadership. His work spans theoretical research, practical implementation, and policy influence, as evidenced by his recent involvement with the Danish Climate Council. He has organized major conferences including CLIMA 2016 and the Nordic Passive House Conference, demonstrating his leadership in the field. Professor Heiselberg leads research teams working on energy-efficient building technologies, including the Research Group for Energy in Buildings at Aalborg University. His projects often involve interdisciplinary collaboration across multiple institutions and countries, focusing on practical solutions for sustainable building design and operation.

Joe Haleyمشاهده پروفایل

استاد

• Experimental High Energy Physics
• Vector-like Quarks
• Standard Model Extensions
• +۸ مورد دیگر

Joe Haley is a Professor in the Department of Physics at Oklahoma State University, where he has been a faculty member since 2013 (tenured 2018, full professor 2023). His research focuses on experimental high energy physics through the ATLAS experiment at CERN, particularly searching for vector-like quarks and new fundamental particles that could address Standard Model limitations. Dr. Haley earned a B.S. in Physics and Astronomy from the University of Washington (2003), followed by a Ph.D. in Physics from Princeton University (2009) for DZero experiment research at Fermilab. He conducted postdoctoral work at Northeastern University (2009-2013) with the CMS experiment at CERN. His research spans collider phenomenology, including Higgs boson studies, B meson lifetime measurements, and lepton universality tests in W boson decays. He employs neural simulation-based inference techniques and advanced τ-lepton reconstruction methods to analyze data from the Large Hadron Collider. Dr. Haley actively contributes to educational initiatives through multiple grants, including the US ATLAS Summer Undergraduate Program (2012-2025) and QuarkNet programs (2012-2024). He teaches core physics courses such as University Physics I-III and specialized topics in General Relativity and Particle Physics. As a strong advocate for equity in academia, Dr. Haley engages in inclusion programs and public outreach. His work intersects with Sustainable Development Goals in quality education, reduced inequalities, and clean energy research.

• Chemical Process Design
• Process Modeling and Simulation
• Model Predictive Control
• +۵ مورد دیگر

Magne Hillestad serves as a Professor in the Department of Chemical Engineering within the Faculty of Natural Sciences at the Norwegian University of Science and Technology (NTNU). His academic profile centers on systematic process design methodologies, advanced process modeling and simulation, and model predictive control applications for chemical systems. He actively teaches core chemical engineering courses including TKP4165 Process Design, TKP4170 Process Design Project, and specialized sustainable process design modules. His research spans chemical process design, CO2 capture technologies, biomass conversion pathways, Fischer-Tropsch synthesis optimization, membrane separation systems, and sustainable chemical process development. Specific interests include synthesis gas production from diverse feedstocks (natural gas, coal, biomass), methanol/DME synthesis, polymer production, and carbon-efficient reactor design. His work integrates mathematical modeling with practical process optimization to address industrial-scale challenges in energy transition. Analysis of his 2021-2025 publications reveals dominant research trends in sustainable fuel production, particularly biomass-to-liquid and power-to-liquid processes, CO2 utilization pathways, and techno-economic optimization of integrated energy systems. His work consistently emphasizes carbon efficiency improvements through reactor staging, hybrid energy integration, and advanced separation technologies, with strong focus on economic viability alongside environmental performance. No scientific awards were documented in the provided source material. While specific student advising details remain unreported, Professor Hillestad's extensive publication record indicates active mentorship of graduate researchers through collaborative projects. His teaching portfolio demonstrates direct involvement in training next-generation chemical engineers in process design fundamentals. Research activities appear integrated within NTNU's Department of Chemical Engineering infrastructure, leveraging competencies in conceptual process design, chemical process modeling, and systematic reactor optimization for sustainable industrial applications.

Julia Cookمشاهده پروفایل

مدرس ارشد

• Sociology of Youth
• Housing Studies
• Economic Sociology
• +۵ مورد دیگر

Dr Julia Cook is a Senior Lecturer in Sociology at the University of Newcastle's School of Humanities, Creative Industries and Social Sciences. She is a youth sociologist specializing in housing, family finance, and their impacts on young people's lives. As an ARC DECRA Fellow (2022-2025) and chief investigator on the ARC-funded Life Patterns longitudinal research program (2021-2026), her work bridges academic research and policy development. Dr Cook completed her Doctor of Philosophy and Bachelor of Arts (Honours) at the University of Melbourne. Her educational background established the foundation for her expertise in the sociology of youth, time, and housing, with particular attention to economic sociology. Her research focuses on how housing and family financial assistance shape young adults' pathways into homeownership, with special attention to intergenerational financial transfers and young adults' navigation of debt. Through qualitative and mixed methods research, she amplifies young people's voices to inform policy changes, particularly regarding housing, loans, and family assistance. Her work reveals how financialized property markets, precarious housing, and conditional tenancy arrangements impact youth transitions to adulthood. Analysis of her recent publications shows a consistent focus on the financialization of young people's lives, with increasing attention to digital financial services like 'Buy Now Pay Later' platforms, intergenerational wealth transfers, and the gendered dimensions of financial management. Her work increasingly examines how these financial arrangements intersect with housing pathways and future orientations of young people. ARC DECRA Fellow (2022-2025) 2022 ABC Top 5 (Humanities) scholar Co-editor in chief of Journal of Applied Youth Studies Editorial board member: Time & Society, Journal of Youth Studies, Irish Journal of Applied Social Studies Dr Cook actively supervises PhD students focusing on youth, social media, mental health, and housing. She has secured over $2.7 million in research funding, including major ARC grants examining intergenerational financial assistance with homeownership and young people's experiences with debt. Her research partnerships include collaborations with the Greater Bank Financial Literacy Laboratory and the Centre for Household Assets and Savings Management at the University of Birmingham. As a founding member of the Newcastle Youth Studies Centre, Dr Cook contributes to an interdisciplinary research hub focused on youth issues. She regularly engages with media as a commentator on youth sociology topics and has developed interventions to improve financial literacy programs for young people based on her research findings.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۹ مورد دیگر

Professor Sule Yildirim Yayilgan is a distinguished academic at the Department of Information Security and Communication Technology (IIK) within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. She has held the position of Professor since 2020, following her tenure as Associate Professor from 2016-2020. Dr. Yayilgan previously served as Head of Department between 2005-2009 at HIHM (now part of NTNU). Her academic journey spans over 30 years in teaching and research, with significant contributions to interdisciplinary fields bridging AI, cybersecurity, and privacy. Her educational background includes a MSc in Computer Engineering (1995) and a PhD in Artificial Intelligence and Computer Science (2002). Dr. Yayilgan has led and participated in numerous international research projects funded by EU Horizon 2020, Eurostars, Erasmus+, and various Norwegian research councils. She currently leads the MR PET (Multidisciplinary Research group on Privacy and data protEcTion) research group and serves on the scientific board of NTNU's strategic area in Data Science. Dr. Yayilgan's research spans multiple domains with a unifying focus on ethical, legal, and privacy-preserving AI systems. Her work addresses critical challenges in health, energy, education, and security sectors through advanced AI methodologies. She has published over 100 journal and conference papers, with recent work focusing on hate speech detection, border security technology acceptance, smart grid security, and explainable AI applications. Her publications demonstrate a strong emphasis on practical implementations that balance technical innovation with societal considerations. As an active research leader, she currently oversees several significant projects including VIPA-DELF (vineyard disease detection using federated learning), METICOS (border control technology monitoring), CINELDI (intelligent electricity distribution), and AQMA (air quality monitoring). She also serves on multiple ethics boards and research integrity committees, reflecting her commitment to responsible innovation. Dr. Yayilgan has supervised numerous graduate students throughout her career, advising 41+2 (in progress) MSc students and 3+2 (periods) +6 (in progress) PhD candidates. Her administrative contributions include membership in NTNU's Research Integrity Committee, the Trondheim ACM Women Chapter, and various project management boards for EU-funded initiatives. She maintains active professional affiliations with IEEE, the International Association for Pattern Recognition, and COST Actions focused on language technologies and security research.

Laura Zapfeمشاهده پروفایل

پژوهشگر

• Educational Inequalities
• Social Science Sustainability Research
• Quantitative Empirical Social Research
• +۱ مورد دیگر

Dr. Laura Zapfe is a Researcher at the Institute of Political Science and Sociology within the Faculty of Human Sciences at Julius-Maximilians-University Würzburg. She serves as a member of the Chair of Methods of Quantitative Empirical Social Research and coordinates internships at the institute. Academic Affiliation: University of Würzburg Research Focus: Social inequalities, educational equity, and sustainability research Teaching: Supervision of quantitative-empirical theses and organization of international summer modules Committee Roles: Member of the Gender Working Group and IPS leadership team Research Interests center on educational inequalities, particularly in sustainability contexts. Her work examines how systemic barriers affect educational outcomes and integrates quantitative methods with social science sustainability frameworks. She analyzes structural factors in educational systems and their intersection with environmental justice. Article Trends reveal a focus on sustainability science (40%), educational sociology (30%), and quantitative research methodologies (30%). Recent publications emphasize UN sustainability goals, digital divides in education, and pandemic impacts on learning systems. Advisory Roles include thesis supervision for bachelor's and master's students, with a preference for quantitative-empirical approaches. She has organized international virtual teaching modules and participates in interdisciplinary sustainability networks.

Beth Burrittمشاهده پروفایل

دانشیار

• Rangeland Ecology
• Animal Behavior
• Livestock Grazing Management
• +۳ مورد دیگر

Beth Burritt is an Associate Professor in the Department of Wildland Resources at Utah State University , with a focus on rangeland ecology and animal behavior. Her work bridges practical livestock management with ecological conservation, particularly through the BEHAVE Research and Outreach Program . Research Interests : Rangeland management, herbivore foraging behavior, plant secondary compounds, nutritional ecology, invasive species utilization, and livestock training. Key Contributions : Development of targeted grazing strategies, studies on medusahead and sagebrush consumption by sheep, publications on behavioral conditioning in herbivores. Her scientific work explores how livestock nutritional states , plant chemistry , and behavioral conditioning affect diet selection and ecosystem health. Articles span from 2020 to 1982, revealing consistent focus on herbivore-plant interactions, with recent emphasis on biochar applications and medusahead management. She actively contributes to extension programs through educational materials like the Shrub Management Handbook and instructional newsletters, while maintaining a robust research program in animal behavior and rangeland sustainability.

Dana Mukamelمشاهده پروفایل

استاد

• Healthcare Policy
• Geriatrics
• Mental Health
• +۴ مورد دیگر

Dana Mukamel is a Professor of Medicine at the University of California, Irvine, with an affiliation in the Department of Population Health & Disease Prevention within the School of Public Health. Her research focuses on healthcare policy, geriatrics, mental health, and chronic disease management, particularly advanced chronic kidney disease (CKD) and cancer care. She explores topics such as Medicare Part D cost disparities, nursing home staffing and quality, digital mental health interventions, and rural-urban healthcare gaps. Dana's recent publications highlight trends in digital health adoption during the pandemic, staffing instability in nursing homes, and CKD treatment outcomes. Her work often intersects with health equity, examining disparities in rural and minority populations, and innovates through technology-driven care coordination models for seniors. She contributes to policy evaluations, including the Medicare Prescription Payment Plan, Certificate of Need regulations, and Medicaid waiver programs. Her projects frequently involve multi-site collaborations and stakeholder engagement, especially with peer perspectives in mental health interventions and county-level healthcare systems.

Ignacio Cascos Fernandezمشاهده پروفایل

دانشیار

• Multivariate Analysis
• Probability Theory
• Data Depth
• +۷ مورد دیگر

Ignacio Cascos Fernandez is an Associate Professor at the Department of Statistics, School of Engineering, Carlos III University of Madrid. His research focuses on Multivariate Analysis (depth functions, multivariate quantiles) and Probability Theory (stochastic orders, random sets, financial risk measures). Key Research Areas Multivariate analysis with emphasis on data depth and quantiles Probability theory involving stochastic orders and random sets Applications to financial risk modeling and statistical process control Notable Awards IASC ERS Young Researchers Award (2006) Elected member of the International Statistical Institute (2008) PhD Supervision Advised José Manuel Cueto (2021) on multifactor models for equity returns Advised Maicol Ochoa (2022) on expectiles and multivariate analysis Recent Projects Developed data depth methodologies for biological age prediction Created statistical tools for complex data in finance and real estate analysis

Mark Duceyمشاهده پروفایل

استاد

• Forest Biometrics
• Quantitative Silviculture
• Remote Sensing in Forestry
• +۶ مورد دیگر

Mark Ducey is a Professor in the Department of Natural Resources and the Environment at the University of New Hampshire. His research focuses on forest biometrics, quantitative silviculture, and the application of remote sensing technologies like LiDAR to analyze forest structure, carbon dynamics, and ecological change across scales from individual stands to regional landscapes. Primary Affiliation: University of New Hampshire Department: Natural Resources and the Environment His work spans mixed-species forests in New England, the Blue Mountains of Oregon, and international collaborations in Europe, Australia, New Zealand, Costa Rica, and Brazil. Key research themes include: Quantitative forest inventory techniques Carbon sequestration and climate change impacts Coarse woody debris sampling Remote sensing integration for ecological modeling Land cover change analysis Recent publications highlight advancements in height-diameter modeling, biomass estimation via novel sampling methods, and ecological implications of forest management practices. His teaching includes courses on forest inventory analysis, grant writing, and contemporary conservation issues.

Neal Williamsمشاهده پروفایل

استاد

• Pollination Biology
• Bee Ecology
• Agroecology
• +۸ مورد دیگر

Neal Williams is a Professor of Entomology at the University of California, Davis, leading a research group focused on pollination biology, bee ecology, and conservation. His work integrates field studies, modeling, and collaboration to address how global change, land use, and environmental stressors impact pollinators and their ecosystems. As Principal Investigator (PI), he oversees a diverse team of graduate students, postdocs, and technicians, fostering interdisciplinary approaches to pollinator conservation and agricultural sustainability. Research Interests: Williams' lab explores pollinator-plant interactions, bumble bee and solitary bee ecology, effects of climate change on pollinator communities, and strategies for restoring pollinator habitats in agricultural landscapes. Key projects include quantifying bee responses to habitat fragmentation, evaluating wildflower plantings for pollinator support, and assessing competition between managed and native bees. Lab Contributions: The lab has published extensively on topics like bumble bee habitat use, pesticide impacts, and the benefits of floral resource diversity. Notable achievements include identifying optimal plant mixes for pollinator conservation and revealing how honeybee competition displaces native species. Collaborations span institutions like Tufts University and the Xerces Society, emphasizing applied conservation outcomes. Education & Outreach: Williams actively engages in outreach through guides like the Streamlined Bee Monitoring Protocol , promoting practical strategies for land managers. His lab supports both academic training and community education, emphasizing diversity and equity in STEM.

Gerda Claeskensمشاهده پروفایل

استاد

• Model Selection
• Model Averaging
• Post-Selection Inference
• +۴ مورد دیگر

Gerda Claeskens is a full professor of Statistics at the Faculty of Economics and Business (FEB) at KU Leuven, Belgium. She holds positions in the Operations Research and Statistics Research Group (ORSTAT) and is affiliated with the Leuven Statistics Research Center. Her academic journey includes a Licentiate in Mathematics (Summa Cum Laude) from the University of Antwerp and a Ph.D. in Statistics from Limburgs Universitair Centrum (now Hasselt University). Research Interests: Her work focuses on model selection, post-selection inference, nonparametric methods, and high-dimensional statistics. She has contributed extensively to methodologies like focused information criteria, penalized splines, and quantile regression. Awards and Honors: Notable accolades include Fellow of the American Statistical Association (2019), Goodeve Medal (2017), and Medallion Lecturer (2016). She has also held editorial roles in top journals such as Biometrika and Journal of the American Statistical Association . Teaching and Mentoring: She has advised over 20 PhD students and mentored postdoctoral researchers. Her teaching spans advanced statistical methods, probability theory, and business statistics. She has delivered invited lectures globally, including at the European Meeting of Statisticians and the International Society for NonParametric Statistics. Key Contributions: Her book Model Selection and Model Averaging (2008) is a seminal work in statistical methodology. Her research addresses challenges in high-dimensional data, survival analysis, and model averaging, with applications in finance, insurance, and biostatistics.

Richard J. Furnstahlمشاهده پروفایل

استاد

• Effective field theory
• Renormalization group methods
• Computational nuclear physics
• +۳ مورد دیگر

Richard J. Furnstahl is a Professor in the Department of Physics at The Ohio State University. His research focuses on effective field theory (EFT), renormalization group methods, computational nuclear physics, and low-energy nuclear theory. He holds prestigious fellowships from the American Physical Society (2001) and the American Association for the Advancement of Science (2007), and was recognized as an APS Outstanding Referee (2009). He also received the OSU Alumni Award for Distinguished Teaching (1997). Education: B.S. in Physics from MIT (1981), Ph.D. in Physics from Stanford University (1986). Research emphasizes applying EFT and Bayesian methods to nuclear systems, including neutron star equations of state, nucleon-nucleon scattering, and uncertainty quantification. His work bridges computational techniques like eigenvector continuation and reduced-order emulators with foundational theories such as chiral EFT. Recent efforts focus on interpolating between small- and large-coupling regimes and quantifying correlated truncation errors in dense nuclear matter models. Key contributions include developing the Density Matrix Expansion approach for energy density functionals and advancing the FRIB Theory Alliance for nuclear dynamics studies. His emulators reduce computational costs while maintaining accuracy in scattering problems. He also explores the intersection of machine learning and nuclear theory through Bayesian additive regression trees and neural network applications. He leads projects on nuclear symmetry energy, proton Compton scattering experiments, and the NUCLEI initiative for ab initio nuclear structure calculations. His work emphasizes rigorous uncertainty analysis and theoretical consistency across scales.

Joseph Antonelliمشاهده پروفایل

استادیار

• Causal Inference
• High-Dimensional Modeling
• Bayesian Methods
• +۳ مورد دیگر

Joseph Antonelli is an Assistant Professor of Statistics at the University of Florida , where he has been since 2018. He holds a PhD in Biostatistics from Harvard University (2015) and completed postdoctoral training there until 2018. His research focuses on causal inference, high-dimensional modeling, Bayesian methods, spatial statistics, and applications in environmental health and criminology. Education: B.S. in Statistics, University of Florida (2011) M.S. in Biostatistics, Harvard University (2013) Ph.D. in Biostatistics, Harvard University (2015) Research Interests: Professor Antonelli develops statistical methods to address complex causal questions in health and social sciences. His work emphasizes robust approaches to confounding adjustment, spatial and environmental data analysis, and policy evaluation. He applies these methods to study air pollution effects, policing policies, and opioid policy impacts, bridging theoretical advancements with real-world applications. Key Contributions: His articles span causal inference techniques, Bayesian modeling, and spatial analysis, with recent work addressing racial bias in policing and air pollution mixtures. His research has been recognized with awards from the Health Effects Institute, JSM Biometrics, and ISBA. Awards: 2020 Health Effects Institute Young Investigator Award 2020 Journal of Speech, Language, and Hearing Research Editors Award 2014 ENAR Distinguished Student Paper Award Advising and Grants: He advises over 15 graduate students and has led grants totaling $3.5M, including NIH funding for auditory deficits in children and CDC studies on firearm policy effects. He also serves as Associate Editor for Bayesian Analysis .

• Oceanography
• Marine Biology
• Climate Science
• +۶ مورد دیگر

Professor Jonathan Sharples is a Professor of Ocean Sciences at the University of Liverpool, affiliated with the School of Environmental Sciences and the Faculty of Science and Engineering. He leads undergraduate programs in Ocean Science, Geography and Oceanography, Marine Biology with Oceanography, and Maths with Ocean and Climate Science. His research focuses on physical and biological oceanography, particularly the interplay between ocean dynamics (tides, currents, internal waves) and plankton populations, linking these processes to marine food webs and climate regulation in shelf seas. Research interests include ocean mixing mechanisms, climate impacts on dissolved oxygen levels, and anthropogenic influences like offshore wind farms. His work integrates field observations from research ships with modeling approaches. Teaching responsibilities include modules such as Oceanography, Plankton and Climate, and Sea Practical, emphasizing hands-on data analysis. Professional activities include editorial roles (e.g., Continental Shelf Research) and membership in scientific societies like the American Geophysical Union. Publications highlight studies on internal tides, wind farm impacts, and seasonal stratification effects. Advising includes supervision of theses on topics like plankton productivity and oceanographic processes. Current research explores climate change effects on shelf sea oxygenation and the role of physical processes in sustaining marine ecosystems.