جست‌وجوی استاد و پژوهشگر

• Catalysis
• Chemical Engineering
• Sustainable Energy
• +۵ مورد دیگر

Yves Schuurman is a Researcher at the Institute of Research on Catalysis and Environment of Lyon (IRCELYON), affiliated with Claude Bernard University Lyon 1. He serves as deputy manager of the Engineering from Material to Reactor department. His research spans multiple areas of catalysis and chemical engineering with a focus on sustainable energy solutions. Dr. Schuurman's research interests center on catalytic processes for energy applications, particularly in the areas of hydrogen production, biomass conversion, and Fischer-Tropsch synthesis. His work combines experimental approaches with kinetic modeling to understand reaction mechanisms at a fundamental level while addressing practical challenges in reactor design and catalyst development. He has made significant contributions to understanding CO 2 hydrogenation, biogas reforming, and sustainable fuel production through catalytic processes. Analysis of his recent publications reveals a strong emphasis on sustainable energy conversion technologies, with particular expertise in catalytic reactor design, kinetic modeling, and in situ characterization techniques. His research bridges fundamental science with practical applications in energy transition technologies. Dr. Schuurman actively collaborates with numerous researchers across multiple institutions, supervising students like Valentin L'Hospital and working within the broader catalysis research community at IRCELYON. He utilizes advanced characterization methods including SSITKA, FT-IR spectroscopy, and isotopic labeling to investigate reaction mechanisms. His work often involves high-throughput experimentation and microkinetic modeling approaches to develop more efficient catalytic processes for energy applications.

• Human Genetics
• Animal Genetics
• Genomic Data Analysis
• +۵ مورد دیگر

Jeffrey R. O'Connell, DPhil is an Associate Professor in the Department of Medicine at the University of Maryland School of Medicine, with a secondary appointment in Epidemiology & Public Health. He has held his position at the University of Maryland since 2002, initially as an Assistant Professor (2002-2008) before being promoted to Associate Professor in 2009, a position he continues to hold. Additionally, he maintains a research appointment at the USDA Animal Genetics Improvement Laboratory where he has worked since 2007. Dr. O'Connell's educational background includes a BS in Mathematics from the University of Delaware (1979), an MS in Mathematics from Drexel University (1984), an MS in Computer Science from Drexel University (1993), and a D.Phil in Mathematical Biology from Oxford University (2000). His academic journey reflects a strong foundation in mathematics and computational methods that underpins his research career. Dr. O'Connell's research focuses on developing, implementing and applying methods to analyze genomic data in large pedigree and population data. His primary area has been human genetics, which expanded to animal genetics in 2007 with his appointment at the USDA Animal Improvement Laboratory. He is the developer of MMAP (Mixed Models for Analysis of Pedigree/Populations), a comprehensive software package implementing analysis options for genome-wide association, variance components estimation, linkage analysis, genotype imputation, genomic prediction, haplotyping, and mega analysis. His work extensively utilizes large pedigree data such as the Old Order Amish and Holstein cattle. Dr. O'Connell collaborates with numerous research consortia including the Genetics of Liver Disease (GOLD), the Genetic Factors for Osteoporosis (GEFOS), the Cohorts of Heart and Aging Research in Genetic Epidemiology (CHARGE) musculoskeletal, adiposity, and lipid groups, and the Gene-by-Lifestyle Interaction consortium. He is also a member of the TOPMed whole genome sequencing effort and has been heavily involved in developing analytical tools for cloud-based computing to run genome-wide association and rare variant analysis, generalized linear mixed models for binary and threshold traits, and multi- and correlated trait models for analysis of large omics data sets. His research has resulted in numerous high-impact publications spanning statistical genetics, genomic analysis methods, and applications to both human and animal genetics. His work bridges computational methodology development with practical applications in genetic epidemiology and animal breeding.

• Physical Education
• Sports Science
• Physical Activity Monitoring
• +۳ مورد دیگر

Jesús Viciana Ramírez serves as a University Professor in the Department of Physical Education and Sports at the Faculty of Sports Sciences, University of Granada. His academic work centers on innovative physical education methodologies and technology integration for youth activity promotion. His teaching schedule includes consistent office hours across semesters in Building D - Office 4.3. Research interests focus on physical activity monitoring using wearable technology, gamified teaching models in physical education, and environmental influences on student engagement. His work bridges sports science with educational technology through rigorous validation studies and cluster-randomized trials. Analysis of recent publications reveals dominant trends in Wearable device validation for adolescent activity tracking Intermittent teaching units combining gamification and technology Cross-cultural fitness assessment frameworks with strong emphasis on objective measurement through accelerometers and real-world school implementation. His leadership in the School-Fit and Fit-Person studies demonstrates commitment to evidence-based physical education practices. Current research explores psychological mediators of activity interventions and environmental knowledge assessment through tools like CENAFI.

• Climate Dynamics
• Numerical Weather Prediction (NWP)
• Atmospheric Modeling
• +۳ مورد دیگر

Professor Eigil Kaas is affiliated with the Niels Bohr Institute at the University of Copenhagen . His work spans climate dynamics , numerical weather prediction (NWP) , and atmospheric modeling . As former Section Head of Climate and Computational Geophysics , he leads research on climate-chemistry coupling and sea ice impacts. Education : MSc (1987) and PhD (1993) in Meteorology from University of Copenhagen Research Focus : Climate dynamics and physics Numerical methods in atmospheric models Machine learning for weather prediction Arctic sea ice-climate interactions Thunderstorm electricity and radiation Coupled atmosphere-ocean modeling Article Trends : Recent work combines neural networks with radiative transfer optimization Focus on storm dynamics and gamma-ray flashes Extreme precipitation modeling under climate change Pioneering tidal flow studies in Faroe Island fjords Teaching Legacy : Instructor of Atmospheric Physics and Dynamical Meteorology courses Developed zonally averaged climate model for educational use Mentored 12 PhD/MSc students with DMI/ECMWF collaborations Professional Roles : Chairman of BFI Group 28 (Geosciences & Climate) Scientific Advisory Committee member at ECMWF Project lead in EU ENSEMBLES and PEGASOS initiatives

Vincent Wheatleyمشاهده پروفایل

استاد

• Supersonic Plasma Flows
• Hypersonics
• Computational Fluid Dynamics
• +۷ مورد دیگر

Professor Vincent Wheatley is a Professor at the School of Mechanical and Mining Engineering, University of Queensland , and Co-Director of the Centre for Hypersonics . His research focuses on supersonic plasma flows , hypersonics , and computational fluid dynamics , with applications in inertial confinement fusion and scramjet engines for space propulsion. Education: PhD in Aeronautics (2005), California Institute of Technology MEngSc (Mechanical), University of Queensland BE (Mechanical and Space), University of Queensland His recent work (2025–2021) explores scramjet combustion dynamics (e.g., hydrogen/ethylene fuel injection), plasma instabilities in multi-fluid models, and hypersonic noise and shock wave interactions . These studies employ direct numerical simulation (DNS) , large eddy simulation (LES) , and reacting flow modeling . Scientific Awards: Australia's Research Field Leader in Aerospace and Aviation Engineering (2018) 2017 Australian Award for University Teaching – Award for Teaching Excellence Professor Wheatley supervises projects on plasma fuel engines and hypersonic propulsion , supported by grants from the Australian Research Council (ARC) and Commonwealth Defence Science and Technology Group . His team collaborates on multi-fluid plasma simulation and scramjet optimization .

Jennifer Burgainمشاهده پروفایل

مدرس

• Food Science
• Physical Chemistry
• Food Process Engineering
• +۴ مورد دیگر

Jennifer Burgain is a Lecturer at the University of Lorraine, France, specializing in physical chemistry and food process engineering. Her research focuses on food powder characterization, microencapsulation of probiotics, and the impact of processing/storage on technofunctional properties. Research Interests: Multi-scale analysis of food powders (agro-resources/co-products) Atomic Force Microscopy (AFM) for nanoscale particle characterization Glass transition effects on powder stability Microencapsulation of probiotics using dairy matrices Optimization of dairy powder processing parameters Scientific Awards: FIL France grant (2011) for probiotic encapsulation research Publications & Projects: Author of ~50 peer-reviewed articles, 6 book chapters, and 2 patents. Principal investigator for the ANR-funded ExPowSE project (2022-2026) analyzing plant-origin food powders. Teaching: Heads the Master 2 MILQ program on dairy industries and quality. Supervises practical process engineering work and teaches physicochemistry/biochemistry of milk proteins.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +۳ مورد دیگر

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

Kathleen Boiesمشاهده پروفایل

استاد

• Leadership
• Leadership Development
• Organizational Behavior
• +۵ مورد دیگر

Dr. Kathleen Boies is a Professor in the Department of Management at Concordia University's John Molson School of Business, holding the Concordia University Research Chair in Leadership Development. Her research focuses on leadership across educational institutions, non-governmental organizations, and private industry, with particular emphasis on trust dynamics and team effectiveness. Education: PhD in Management, University of Western Ontario Dr. Boies' research explores the intersection of personality traits and leadership behaviors, the impact of trust on organizational outcomes, and strengths-based leadership approaches in healthcare. Recent work examines career advancement procrastination, affective trust mechanisms, and longitudinal effects of leadership training programs. Scientific Awards: Dean's Award for Distinguished Scholarship (Established Scholar), 2023 Junior Researcher Award, John Molson School of Business, 2006 Her funded research supported by the Social Sciences and Humanities Research Council of Canada and the Fonds Québécois de Recherche sur la Société et la Culture has been published in top-tier journals including the Leadership Quarterly, Journal of Business and Psychology, and European Journal of Work and Organizational Psychology.

Olga Maslovskayaمشاهده پروفایل

دانشیار

• Survey Methodology
• Data Quality
• Survey Data Collection
• +۳ مورد دیگر

Dr. Olga Maslovskaya serves as an Associate Professor in Survey Research and Social Statistics at the University of Southampton within the Faculty of Social Sciences, Department of Social Statistics and Demography. She is a prominent Survey Methodologist specializing in data quality and survey data collection methodologies. As Principal Investigator of the Survey Data Collection Network (SDC-Net), she leads research on the impact of COVID-19 on survey methodologies and previously directed the GenPopWeb2 international network focused on transitioning to online data collection. Her research interests center on all aspects of survey methodology with particular emphasis on data quality, survey data collection techniques, non-probability-based surveys, and mixed-mode survey design. She has made significant contributions to understanding smartphone survey effects, response propensity modeling, and the development of online survey methodologies for demographic research. Analysis of her recent publications reveals a strong focus on methodological innovations in survey research, particularly examining data quality across different survey modes, developing advanced statistical techniques for addressing nonresponse, and advancing online survey design for demographic studies. Her work frequently addresses practical challenges in contemporary survey methodology while maintaining rigorous statistical standards. Dr. Maslovskaya has secured substantial research funding through multiple ESRC grants for projects including the Generations and Gender Survey in the UK and the Survey Data Collection Network. She serves as a Co-Investigator on major ESRC-funded initiatives and leads methodological workpackages for national survey implementations. She currently supervises PhD students Ni Kadek Oki Wahyu Krisnadevi and Norizan Abdullah in the Social Statistics and Demography program. Her external professional engagements include membership on the editorial board of the Journal of Survey Statistics and Methodology (2020-2024), active participation in the Royal Statistical Society (2018-2024), and membership in the European Survey Research Association (2021-2025). As a member of the Statistical Sciences Research Institute (S3RI), Dr. Maslovskaya contributes to the Methodological Innovation: Survey Methods and Official Statistics research group. Her current projects examine underrepresented population subgroups in surveys, patient perspectives on health data collection, and continuing research on survey data collection methods in the post-pandemic era.

• Food Security
• Consumer Behavior
• Sustainable Diets
• +۲ مورد دیگر

Dr Beth Armstrong is a Researcher at the University of Sheffield's School of Geography and Planning, where she investigates critical intersections of food security, consumer behavior, and sustainable diets within the UK context. Her work is prominently featured in the Food Standards Agency's longitudinal Food and You 2 project, examining pandemic-era food system vulnerabilities and policy implications. Her research program centers on food insecurity dynamics , particularly risk factors for severe food insecurity and food bank utilization patterns among vulnerable populations. She employs mixed-methods approaches to analyze food safety behaviors—especially among older adults—and explores how ethical information and country-of-origin labeling shape consumer perceptions. A significant strand examines sustainable diet adoption barriers , investigating how food security status influences choices toward healthier, environmentally conscious eating patterns using nationally representative survey data. Analysis of her 2021-2025 publications reveals consistent thematic focus on crisis-responsive food systems, with methodological diversity spanning longitudinal mixed-methods studies, secondary dataset analysis, and digital citizen science applications. Key contributions include identifying demographic predictors of food insecurity, evaluating post-pandemic consumer risk perceptions, and developing behavior-change interventions for food waste reduction. Scientific awards: No awards documented in source materials. Advising and grants: No formal student advisees listed. Grant involvement includes the Citizens Food Waste Prevention Behaviour Change Grant (RAF 100-304), funding a university student food waste reduction app pilot. Her Food and You 2 contributions represent sustained collaboration with the UK Food Standards Agency across eight survey waves.

• Solar MagnetoHydroDynamics (MHD)
• Nonlinear Plasma Waves
• Solar Corona Heating
• +۷ مورد دیگر

Dr. Istvan Ballai is a Senior Lecturer in Applied Mathematics at the School of Mathematical and Physical Sciences , University of Sheffield. His research focuses on MHD waves in solar and interplanetary plasmas , particularly their role in energy transport, plasma heating, and diagnostics. University : University of Sheffield Email : i.ballai@sheffield.ac.uk His work encompasses linear and nonlinear wave phenomena in partially ionized plasmas, with applications to solar corona heating and wave-based plasma diagnostics. Recent publications highlight advancements in modeling Alfvén waves , solar vortices , and photospheric flux tubes . Articles span 2025–2022 , emphasizing numerical simulations and observational analysis of wave propagation, energy concentration, and instability dynamics. Dr. Ballai has received grants from Leverhulme , Royal Society , Nuffield , and STFC , and contributes to teaching in Differential and Difference Equations , Complex Analysis , and Numerical Methods .

Paul Strykowskiمشاهده پروفایل

استاد

• Fluid Dynamics
• Turbulent Flows
• Flow Control
• +۳ مورد دیگر

Paul Strykowski serves as the George W. Taylor Distinguished Professor in the Department of Mechanical Engineering at the University of Minnesota, where his research centers on fundamental fluid dynamics phenomena with applications in propulsion and combustion systems. His core research domains include: Fluid Dynamics and Turbulent Flow Mechanisms Active Flow Control and Stability Theory Combustion Dynamics and Propulsion Systems Specializing in spatio-temporal stability analysis, multi-phase turbulent flows, and the effects of compressibility/density on flow control, his work bridges theoretical modeling with experimental validation in complex fluid environments. Analysis of his publication history (2005-2016) reveals consistent focus on jet flow instabilities, shear layer control, and combustion optimization. Key methodological themes include counterflow techniques for thrust vectoring, microjet-based active control in combustors, and stability analysis of low-density jets—demonstrating interdisciplinary integration of fluid mechanics, thermodynamics, and control theory. Dr. Strykowski's contributions advance critical technologies in gas turbine propulsion, where his investigations into flame anchoring, vortex suppression, and heat release control directly address industry challenges in combustion efficiency and emissions reduction.

• Production Systems Optimization
• Flow Simulation
• Energy-Efficient Optimization
• +۵ مورد دیگر

Abdelkader Mekhalef Benhafssa serves as a Teacher-Researcher at CESI Engineering School within the Engineering and Digital Tools research team. His work spans industrial engineering, robotics, and sustainable manufacturing systems. Education: Doctorate in Electrical Engineering (2017) Master's degree in Electrical Engineering specializing in Electrical Networks and High Voltage Techniques (2013) His research focuses on optimizing production systems through multi-agent simulations, human-robot collaboration in Industry 5.0 contexts, and energy-efficient manufacturing. Key areas include flow simulation, autonomous vehicle scheduling in logistics, and electrostatic separation techniques for plastic waste recycling. His experimental work examines tribocharging mechanisms and particle behavior in recycling processes. Publications reveal a strong trend toward human-centric manufacturing systems, with recent work (2023-2025) emphasizing collision avoidance algorithms, dynamic scheduling for autonomous vehicles, and energy-conscious production planning. Earlier research (2014-2018) established expertise in electrostatic separation for plastic waste recycling. Supervision & Projects: Supervised Kader Sanogo's 2024 thesis on optimizing transport tasks for collaborative robots in Industry 5.0 Currently supervising Nesrine Hebbadj's research (2024-2027) on human-centered production planning Leading DYNALOG project (2025-2027) on robotic intra-logistics systems His work integrates industrial engineering with environmental sustainability, particularly through advanced recycling technologies for plastic waste and energy-efficient production systems.

Suzanne Bartingtonمشاهده پروفایل

دانشیار بالینی

• Environmental Epidemiology
• Air Quality and Health
• Climate Change Policy
• +۳ مورد دیگر

Dr. Suzanne Bartington is a Clinical Associate Professor in Environmental Health at the University of Birmingham's Department of Applied Health Sciences, where she leads interdisciplinary research at the intersection of air quality, climate change, and public health. As the UKRI Clean Air Champion for the Midlands to North of England, she translates £42.5 million UKRI Clean Air Programme research into actionable policy tools. Her educational background includes an MBBS from UCL (2012), PhD in Infectious Disease Epidemiology from UCL Institute of Child Health (2009), MSc in Modern Epidemiology from Imperial College London (2003), and BA in Medical and Veterinary Sciences from Cambridge (2002). She is also an Honorary Consultant in Public Health. Bartington's research focuses on developing clean air solutions with public health co-benefits, specializing in environmental epidemiology, transport studies, and policy evaluation. Her current portfolio includes NERC, NIHR, and EPSRC-funded projects examining air pollution exposure, sustainable transport, and climate-health linkages across global contexts including East Africa and Mongolia. Recent publications reveal strong trends in applying low-cost sensor networks for real-time air quality monitoring, evaluating policy interventions like Low Traffic Neighborhoods and Clean Air Zones, and analyzing health impacts of biomass fuels in low-income settings. Her work increasingly integrates machine learning techniques and whole-systems approaches to address complex environmental health challenges. As a doctoral supervisor, she mentors students in air pollution exposure assessment, transport intervention evaluation, and health equity impacts. Her leadership extends to major initiatives including the West Midlands Air Quality Improvement Programme (£5M NERC grant), OxAria Study, and TRANSITION Clean Air Network. Bartington directs the University of Birmingham Institute for Global Innovation Clean Air theme, supporting cross-disciplinary collaboration on global environmental challenges. Her team includes collaborators from nine UK universities and over 20 public and commercial sector partners, focusing on translating research into tangible health and policy outcomes.

• Health Economics
• Payment Models in Healthcare
• Risk Adjustment
• +۳ مورد دیگر

Frank Eijkenaar is an Associate Professor of Health Economics at the Erasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, within the Health Systems and Insurance (HSI) department. He teaches in the bachelor's program in Health Sciences and the master's program in Health Economics, Policy, and Law. His educational background includes: Bachelor's degree in Health Sciences (cum laude) Master's degree in Health Economics, Policy, and Law (cum laude) PhD in Health Economics (thesis on pay-for-performance for healthcare providers) Dr. Eijkenaar's research focuses on: Design and effects of alternative payment models (e.g., bundled payments, population-based financing) Risk adjustment and case mix methodologies for provider payment Performance measurement and benchmarking in healthcare systems Systematic reviews on healthcare innovation and payment reforms His work frequently addresses Dutch healthcare contexts while incorporating international comparisons, particularly with OECD frameworks. Analysis of his 2025 publications reveals consistent emphasis on evaluating payment model impacts across diverse settings—from cancer surgery outcomes to stroke treatment quality. His studies employ systematic reviews, mixed-methods evaluations, and cluster randomized trials, demonstrating methodological versatility in advancing value-based payment systems. No scientific awards are documented in the available profile. Dr. Eijkenaar has supervised 4 students, as indicated by 'Supervised Work' metrics. His research output (64 items including 49 articles) and datasets reflect active grant-supported work, with collaborations in initiatives like the Dutch Upper Gastrointestinal Cancer Audit (DUCA) and PERFEQTOS Investigators for stroke research.