جست‌وجوی استاد و پژوهشگر

Andrew Pueschelمشاهده پروفایل

دانشیار

• Professional Sales and Marketing
• Global Business
• Well-Being
• +۴ مورد دیگر

Andrew Pueschel is an Associate Professor of Marketing and Director of the Center for International Business, Education & Development (CIBED) at Ohio University's College of Business. He also serves as Director of Diversity and Internships at the Ralph and Luci Schey Sales Centre. His research focuses on pedagogy-to-practitioner themes, including professional sales, global business, leadership, and organizational behavior. He holds a Ph.D. in Leadership and Instructional Management (2015), an M.P.M.L. from Carnegie Mellon University (2011), and a B.A. in Business Ethics (2000). Key research interests include global mindset integration in curricula, grit and growth mindset development, and the impact of workplace culture on well-being. He has received multiple awards, including the 2021 Mid-American Conference Outstanding Faculty Award for Student Success and 2021 Excellence in Teaching from the College of Business. Education: Ph.D., Leadership and Instructional Management, Robert Morris University (2015) M.P.M.L., Heinz School, Carnegie Mellon University (2011) B.A., Business Ethics and Public Policy, Carnegie Mellon University (2000) His publications span journals like Industrial and Organizational Psychology and Journal of Organizational Behavior , with a focus on crisis management, diversity, and leadership development. He actively presents at conferences such as the Academy of Management and the International Special Events Society. Awards: 2021 Mid-American Conference Outstanding Faculty Award 2021 Excellence in Teaching (College of Business) 2020 Rising Star Faculty (College of Business) Dr. Pueschel leads initiatives in global business education and has pioneered strategies for cross-functional leadership development. He is a frequent presenter on topics like energy management in leadership and positivity in business communication.

Yu Liuمشاهده پروفایل

استاد

• Supramolecular Chemistry
• Catalysis
• Organic Synthesis
• +۳ مورد دیگر

Dr. Yu Liu is a Professor in the Department of Chemistry at Northern Michigan University (NMU). Their research focuses on supramolecular chemistry, catalysis, and organic synthesis, particularly leveraging aromatic donor-acceptor interactions for asymmetric catalytic reactions and the construction of 2D/3D nanostructures. They actively contribute to advancing chemical methodologies and materials science. Ph.D. in Organic Chemistry, New York University M.S. in Inorganic Chemistry, Tongji University B.S. in Applied Chemistry, Tongji University Yu Liu's research explores supramolecular catalyst assemblies for asymmetric reactions, with applications in hydrolytic kinetic resolution and DNA-based nanotechnology. Their work bridges organic synthesis, catalysis, and nanostructure design. Recent publications highlight trends in aromatic donor-acceptor interactions for catalytic systems, asymmetric synthesis, and wastewater analysis. Notable awards include ChemCatChem Hot Paper designation (2023), Chemeurope.com highlight (2011), and being the most downloaded paper in Chirality (2005–2006). Selected by Editor-in-chief as 'Hot Paper' and Cover Featured (2023) Highlighted at Chemeurope.com (2011) Most downloaded paper of Chirality (2005–2006)

Mar Sobral Bernalمشاهده پروفایل

استاد

• Evolutionary ecology
• Plant-animal interactions
• Global change impacts on biodiversity
• +۳ مورد دیگر

Mar Sobral Bernal is a Professor at the Department of Geography, University of Santiago de Compostela, Spain, affiliated with the Faculty of Geography and History. She holds a PhD from the same institution (2010) focusing on selection pressures on fruit traits in Crataegus monogyna . Her work emphasizes evolutionary ecology of plant-animal interactions and global change impacts on biodiversity, particularly carbon cycling. She has conducted research at CNRS (France) and Stanford University (USA), and collaborates with groups like ANTE and EcoPast. Research interests include plant defense mechanisms, transgenerational plasticity, functional diversity effects on soil carbon, and science outreach addressing gender equity. Key findings explore how mammal biodiversity influences soil organic matter composition and how herbivory shapes plant phenotypic traits across generations. Publications span plant-animal interactions, climate impacts on ecosystems, and biodiversity-carbon links. Her recent work highlights the role of functional traits in carbon dynamics and transgenerational effects of herbivory. She advocates for equitable science through outreach and policy engagement.

Fabien Duveauمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Genetics
• Molecular Biology
• +۵ مورد دیگر

Fabien Duveau is a CNRS Researcher at the Laboratory of Biology and Modelling of the Cell (LBMC) at École Normale Supérieure de Lyon. He leads the eGRIDE project, funded by an ERC Consolidator Grant, investigating evolutionary mechanisms of gene regulation in dynamic environments. His work focuses on understanding how gene expression plasticity and mutational effects shape organismal adaptation. Duveau holds a PhD from Université Paris 7/CNRS (2011), followed by postdoctoral research at the University of Michigan and Université Paris 7. He joined LBMC in 2019 as part of Gaël Yvert’s team, supported by an ANR Young Researchers grant. His research integrates experimental and computational approaches, including high-throughput RNA sequencing and genetic mapping in yeast ( Saccharomyces cerevisiae ), to study how regulatory evolution balances mutational randomness and environmental selection pressures. Key areas include gene expression noise, cis/trans regulatory variation, and fitness outcomes under environmental stress. Recognitions include the prestigious ERC Consolidator Grant (2024), awarded for innovative projects advancing fundamental biological understanding. Duveau collaborates across disciplines, combining evolutionary genetics with systems biology to predict regulatory evolution in natural and pathological contexts.

• Neuropathology
• Neurodegenerative diseases
• Alzheimer's Disease
• +۳ مورد دیگر

Charles L. White is Professor of Pathology at UT Southwestern Medical Center, where he holds the Nancy R. McCune Distinguished Chair in Alzheimer Disease Research. He has served as Director of Neuropathology at UT Southwestern since completing his residency and fellowship training in anatomic pathology and neuropathology at Johns Hopkins in 1983. Dr. White also directs the Neuropathology Core of the UT Southwestern Alzheimer Disease Research Center (established 1988) and the Winspear Family Special Center for Research on the Neuropathology of Alzheimer's Disease (established 2002). Dr. White completed his medical and pathology training at Johns Hopkins University, establishing a career focused on neurodegenerative brain disorders. His educational background forms the foundation for his dual expertise in clinical neuropathology and research investigation. Dr. White's research spans multiple critical areas of neuropathology: Pathological mechanisms of Alzheimer's disease and related dementias Tau protein aggregation and propagation across neurodegenerative conditions Diagnostic criteria and staging systems for various neuropathologies Genetic and molecular underpinnings of frontotemporal lobar degeneration Chronic traumatic encephalopathy and its relationship to other neurodegenerative conditions Development of artificial intelligence approaches for neuropathological assessment Analysis of Dr. White's extensive publication record reveals a consistent focus on defining and characterizing neurodegenerative disease processes through rigorous pathological examination. His work frequently addresses diagnostic criteria, disease classification systems, and the molecular mechanisms underlying various neurodegenerative conditions. There is particular emphasis on tau pathology across multiple disease states, including Alzheimer's disease, primary age-related tauopathy (PART), and chronic traumatic encephalopathy (CTE). His research often involves large collaborative efforts with multiple institutions, reflecting the complex, multidisciplinary nature of modern neuropathological research. Dr. White has received significant recognition for his contributions to the field: Award for Meritorious Contributions to Neuropathology from the American Association of Neuropathologists (2020) Nancy R. McCune Distinguished Chair in Alzheimer Disease Research As an educator and mentor, Dr. White serves as Training Director for the Neuropathology Fellowship program at UT Southwestern, an ACGME-accredited, 2-year training program. Twenty-two trainees have completed the program and become board certified by the American Board of Pathology in the subspecialty of Neuropathology. He has held significant leadership positions including past president of the American Association of Neuropathologists, the national professional organization for neuropathologists in the US. His mentorship extends to numerous research collaborations where he guides junior investigators in neuropathological research methods and interpretation. Dr. White directs multiple research centers including the Neuropathology Core of the UT Southwestern Alzheimer Disease Research Center and the Winspear Family Special Center for Research on the Neuropathology of Alzheimer's Disease. His laboratory work focuses on understanding the pathological mechanisms of neurodegenerative diseases, particularly those involving protein misfolding and aggregation. His team employs advanced techniques including immunohistochemistry, molecular pathology, and increasingly, artificial intelligence approaches to analyze neuropathological specimens.

Antoine Bommierمشاهده پروفایل

استاد

• Economics
• Risk Management
• Demography
• +۵ مورد دیگر

Prof. Antoine Bommier is a Full Professor at ETH Zurich's Department of Management, Technology, and Economics, serving as Deputy Head of the department. He holds a Chair in Integrative Risk Management and Economics and is a member of the ETH Risk Center's Steering Committee. His academic journey includes a PhD in Mathematics from École Polytechnique (1993) and a Habilitation à Diriger des Recherches in Economics from the University of Toulouse (2005). Prior roles include positions at CNRS (France), University Paris-Nanterre, and Berkeley. His research focuses on risk management, intergenerational equity, uncertainty modeling, and public policy. Key areas include climate change mitigation, annuity markets, and the valuation of catastrophic risks. Bommier has been recognized with the Robert C. Witt Award (2013) and a best-paper award from the Journal of Risk and Insurance (2012). Recent work explores ambiguity aversion's impact on savings and insurance, dynamic preferences in risky environments, and equity considerations in exhaustible resource management. He also investigates mortality-linked retirement policies and the societal value of risk reduction. Editorial Roles: Associate Editor of Decisions in Economics and Finance Professional Activities: Visiting appointments at Paris School of Economics and University Paris-Nanterre Key Themes: Climate policy, actuarial fairness, recursive utility, and sustainable development

Yonathan Zoharمشاهده پروفایل

استاد

• Aquaculture
• Fish Endocrinology
• Marine Biotechnology
• +۵ مورد دیگر

Yonathan Zohar is a Professor of Marine Biotechnology at the University of Maryland, Baltimore County (UMBC), leading research at the Institute of Marine and Environmental Technology (IMET). His work focuses on advancing sustainable aquaculture and fish reproductive biology. He has pioneered land-based aquaculture systems to address environmental and logistical challenges, including year-round salmon spawning and waste management innovations. Zohar’s research combines fundamental endocrinology with applied solutions, such as developing sterile fish strains and biodegradable waste systems. In 2020, he received the International Society for Fish Endocrinology’s Lifetime Achievement Award for his transformative contributions. His research interests span fish endocrinology, reproductive physiology, and aquaculture sustainability. Notable projects include manipulating fish reproduction cycles using environmental cues and converting fish waste into biogas to reduce energy costs. With a $10M USDA grant, he collaborates globally to commercialize land-based aquaculture. Zohar’s work emphasizes environmental responsibility and economic viability, aiming to reduce overfishing and meet rising seafood demand. Key Projects: Year-round salmon spawning, biogas production from fish waste, sterile fish development Funding: USDA grant ($10M), BARD Fund (U.S.-Israel partnership) Scientific contributions include over 50 peer-reviewed articles on fish endocrinology and aquaculture. His teams at IMET and the Aquaculture Research Center (ARC) address industry bottlenecks like sludge management and seasonal reproduction limits. Awards: Lifetime Achievement Award (2020) Collaborations: U.S. and international government/industry partnerships

Miao Qianمشاهده پروفایل

استادیار

• Child Social Cognition
• Implicit Racial Bias
• Gender Bias
• +۳ مورد دیگر

Miao Qian is an Assistant Professor of Psychology at the University of Detroit Mercy. She earned her Ph.D. in Developmental Psychology and Education from the University of Toronto and completed postdoctoral training in Harvard University's Inequality in America Initiative program. Her research investigates child social cognition, focusing on how children acquire social category knowledge and apply it to social evaluations. Research examines the development and reduction of implicit biases related to race and gender. Current projects include studying social-cognitive drivers of bias and developing interventions like individuation training and cooperative games. Recognized as a 2023 Emerging Scholar by Diverse: Issues In Higher Education.

Helga Huntleyمشاهده پروفایل

استادیار

• Geophysical Fluid Dynamics
• Oceanography
• Atmospheric Science
• +۷ مورد دیگر

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.

• Heterogeneous Catalysis
• Electrochemistry
• Energy Conversion
• +۳ مورد دیگر

Prof. Robert Schlögl is a leading researcher in heterogeneous catalysis and electrochemistry, serving as Director of the Fritz Haber Institute of the Max Planck Society since 1994 and Founding Director of the Max Planck Institute for Chemical Energy Conversion (MPI CEC) since 2011. He holds honorary professorships at TU Berlin, Humboldt-Universität Berlin, and the University of Duisburg-Essen. His work focuses on catalytic materials for energy storage (e.g., CO₂ conversion, hydrogen production), with contributions to methane oxidation, water splitting, and electrochemical systems. Schlögl has led national initiatives like the Carbon2Chem project and serves on key advisory boards, including the German National Academy of Sciences Leopoldina. His accolades include the 2017 ENI Award for Energy Transition and the 2019 Ipatieff Lectureship. Research teams under his leadership utilize advanced tools like operando X-ray spectroscopy and microreactors to study catalyst dynamics. Ongoing projects address sustainable hydrogen technologies and CO₂ utilization. Education: Diplom (1979), Dr. rer. nat. (1982) from Ludwig-Maximilians-Universität München, followed by postdoctoral research at Cambridge and Switzerland. Key roles include leadership in the Helmholtz Association and the German Catalysis Society. His labs at the Fritz Haber Institute and MPI CEC host interdisciplinary collaborations in catalytic innovation.

Zihang Luمشاهده پروفایل

استادیار

• Biostatistics
• Epidemiological Research
• Bayesian Analysis
• +۴ مورد دیگر

Dr. Zihang Lu is an Assistant Professor in the Department of Public Health Sciences at Queen’s University, affiliated with the School of Medicine and Faculty of Health Sciences. He holds a PhD and MSc in Biostatistics from the University of Toronto (2020 and 2013) and a BSc in Biostatistics from Southern Medical University (2012). His research focuses on developing novel statistical and machine learning methods for complex data analysis, with applications in clinical and epidemiological studies, particularly in asthma, obesity, sleep, pain, and cancer research. He collaborates with clinicians to address statistical challenges in longitudinal and functional data analysis, Bayesian modeling, and integrative clustering. Education : PhD in Biostatistics, University of Toronto (2020) MSc in Biostatistics, University of Toronto (2013) BSc in Biostatistics, Southern Medical University (2012) Research Interests : Bayesian data analysis and variable selection Longitudinal and functional data clustering High-dimensional data integration Statistical methods for disease subtyping Design and analysis of observational studies Advising & Grants : Current advisees: Caroline Lee (MSc 2022), Veronique Rowley (2021), Zhiwen Tan (PhD 2022), Mojtaba Ahmadiankalati (MSc 2021) Recruiting CANSSI Distinguished Post-Doctoral Fellow for Bayesian methods in longitudinal health data analysis Accepting MSc/PhD students for 2023 Labs & Teams : His team focuses on statistical methodology development and clinical collaborations, with active projects in pediatric lung function (e.g., the CHILD Cohort Study) and chronic disease management.

Daniel Singletonمشاهده پروفایل

استاد

• Organic Chemistry
• Organometallic Chemistry
• Reaction Mechanisms
• +۳ مورد دیگر

Professor Daniel Singleton is a distinguished academic in the Department of Chemistry at Texas A&M University, holding the Davidson Chair in Science. He specializes in reaction mechanisms, kinetic isotope effects, and dynamic effects in organic and organometallic chemistry. His research employs NMR-based methodologies to study reaction pathways and combines experimental and computational approaches. Singleton has contributed significantly to understanding reaction dynamics, including hydroboration selectivity, cycloadditions, and transition-state geometry measurements. Education: B.S. in Chemistry (Case Western Reserve University, 1980); Ph.D. in Chemistry (University of Minnesota, 1986). Postdoctoral training at the University of Wisconsin-Madison and General Electric. Research Interests: Focuses on reaction mechanisms, kinetic isotope effects, and dynamic effects. Key areas include the study of organic reaction dynamics using NMR, computational predictions of isotope effects, and resolving mechanistic controversies. His lab investigates energy redistribution in reactions and the role of transition-state geometry in selectivity. Awards: Arthur C. Cope Scholar Award (2008), Davidson Professor of Science (2005), and multiple teaching awards from Texas A&M. Recognized for contributions to organic chemistry and education. Grants & Advising: Advises graduate students like Jonathan Bailey and Andrew Jeffreys. Active in mentoring, including the Wells Fargo Faculty Mentor Award (2017). Research supported by grants from NIH, NSF, and industry collaborations (e.g., Process Origins Company). Labs & Teams: Singleton Research Group, focused on mechanistic organic chemistry. Collaborations with experts like Prof. K.N. Houk (UCLA) and Dr. Jack Waas. Active in journal editorial roles, including The Journal of Organic Chemistry (2005–2011).

Andrea Meilán-Vilaمشاهده پروفایل

استادیار

• Nonparametric Estimation
• Directional Statistics
• Kernel Smoothing
• +۳ مورد دیگر

Andrea Meilán-Vila is an Assistant Professor in the Department of Statistics at Universidad Carlos III de Madrid since 2021, holding a Juan de la Cierva Fellowship since 2023. She earned her PhD in Statistics from Universidade da Coruña (2021) and previously served as a Postdoctoral Fellow at Universidade de Santiago de Compostela's Department of Statistics, Mathematical Analysis and Optimisation. Her research focuses on nonparametric methods for analyzing complex data types, including directional, spatial, and functional data. Key areas include kernel smoothing techniques, goodness-of-fit testing for regression models, and spatial trend estimation. She serves as an Associate Editor for the Journal of Nonparametric Statistics . Recent work emphasizes applications in climate science (temperature curve modeling), fluid dynamics (wake flow control), and biomedical imaging (hippocampus shape analysis). Her methodologies address challenges like sparse data estimation and spatial correlation in regression frameworks. Key Projects: STENED (Stein-based goodness-of-fit tests for non-Euclidean data) Awards: Juan de la Cierva Fellowship (2023) Publications span journals like Journal of Fluid Mechanics , Statistical Papers , and TEST , with a focus on methodological advancements in statistical modeling and computational validation.

• Large-scale nonparametric and kernel methods
• Robust and trustworthy machine learning
• Multiresolution data and data fusion
• +۳ مورد دیگر

Professor Dino Sejdinovic is a faculty member in the School of Computer and Mathematical Sciences at the University of Adelaide, part of the Faculty of Sciences, Engineering and Technology. Previously, he held positions as Lecturer and Associate Professor at the University of Oxford's Department of Statistics (2014–2022). His academic qualifications include a PhD in Electrical and Electronic Engineering from the University of Bristol (2009) and a Diplom in Mathematics and Theoretical Computer Science from the University of Sarajevo (2006). His research focuses on the intersection of statistical methodology and machine learning, encompassing large-scale nonparametric methods, robust machine learning, multiresolution data fusion, and measures of dependence. He has contributed to kernel methods, Bayesian inference, causal discovery, and applications in climate science, quantum computing, and social science data analysis. Education: PhD in Electrical and Electronic Engineering, University of Bristol (2009) Diplom in Mathematics and Theoretical Computer Science, University of Sarajevo (2006) Sejdinovic's work emphasizes bridging theoretical foundations with practical applications, such as cloud type classification using vision transformers and machine learning-driven quantum device optimization. His recent publications explore topics like kernel-based causal inference, Bayesian neural networks, and uncertainty quantification in statistical models. Advising and grants: Eligible to supervise Masters and PhD students in machine learning and statistics, though specific grants or student advisees are not explicitly listed in the provided texts.

Andrei Vedernikovمشاهده پروفایل

استاد

• Organotransition Metal Chemistry
• Catalysis
• Reaction Mechanisms
• +۴ مورد دیگر

Andrei Vedernikov is a Professor of Chemistry & Biochemistry at the University of Maryland, affiliated with the Institute for Physical Science and Technology (IPST). His research focuses on organotransition metal chemistry, catalysis, and reaction mechanisms with an emphasis on green synthetic methodologies using oxygen-based oxidants (O₂ and H₂O₂) for C-H and C-C bond functionalization. Key areas include platinum and palladium complex design, oxidative functionalization, and mechanistic studies using computational DFT methods. Recent work highlights catalytic systems for aerobic C-H bond activation, photoredox-mediated transformations, and the development of ligands to enhance reactivity. His studies often explore high-valent metal intermediates and their role in bond cleavage/formation. Applications span green chemistry, sustainable synthesis, and materials science. Notably, he investigates methane functionalization pathways and oxygen-driven catalytic cycles. Publications emphasize platinum/palladium complexes' reactivity under oxidative conditions, ligand effects on selectivity, and substrate scope in C(sp²)- and C(sp³)-H activations. Research also extends to mesoporous materials for toxic chemical filtration and mechanistic insights into NO binding in transition metal systems. Awards: None explicitly mentioned in current data. Advising and grants: No student names or grant details provided. Laboratory affiliations include IPST and the Chemistry & Biochemistry Department at UMD.