جست‌وجوی استاد و پژوهشگر

Rachel J. Beaneمشاهده پروفایل

استاد

• Geology
• Mineralogy
• Tectonics
• +۵ مورد دیگر

Rachel J. Beane is the Anne T. and Robert M. Bass Professor of Natural Sciences at Bowdoin College , where she serves as Associate Dean for Faculty Recruitment and Student Advising in Academic Affairs. A geologist by training, she combines mineralogical analysis with tectonic studies through fieldwork and advanced microscopy techniques. Education: PhD in Geology (Stanford University, 1997), BA in Geology (Williams College, 1993) Research Interests: Focuses on mineral composition analysis to decode Earth's geological processes across diverse regions including New Zealand, Russia, Kazakhstan, Greece, western U.S., and Maine. Her work spans solid earth processes, metamorphic petrology, and volcanic systems, utilizing electron microscopy and field studies. Science Education Leadership: Pioneered national faculty development programs through NSF-funded initiatives like On the Cutting Edge and the SAGE 2YC program. Her education research examines diversity trends in geoscience, inclusive teaching practices, and professional development diffusion models. Recent Publications: Highlights include analyses of geoscience diversity trends (2021), faculty development workshops (2022), and metamorphic process studies in the Urals (2000). Her work integrates geoscience research with educational innovation. Scientific Awards: Geological Society of America Fellow (2017) Neil Miner Award (2018) Sydney B. Karofsky Prize (2004) NSF Graduate Research Fellowship (1993) Grant Leadership: Directed multiple NSF grants totaling over $4 million, including SEM acquisition for undergraduate research (2015-17) and large-scale faculty development projects (2010-17). Her administrative roles include acting director of Bowdoin's Baldwin Center for Learning and Teaching (2019).

Heather M. Stephensمشاهده پروفایل

استاد

• Regional Economics
• Policy Analysis
• Entrepreneurship
• +۵ مورد دیگر

Heather M. Stephens is a Professor and Director of the Regional Research Institute (RRI) at West Virginia University, with an adjunct appointment in Economics. Her leadership spans academic research and applied policy analysis focused on regional development challenges. Her academic credentials include: Ph.D. in Agricultural, Environmental and Development (AED) Economics from The Ohio State University M.B.A. from The Ohio State University B.A. in Economics and Public Policy Studies from Duke University Dr. Stephens' research program centers on spatial heterogeneity in economic phenomena, examining how policies affect regions differently through lenses of entrepreneurship, labor dynamics, health outcomes, energy transitions, and environmental quality. Her methodological approach integrates quantitative regional science with real-world policy evaluation, emphasizing the unique vulnerabilities of distressed and rural communities. Analysis of her recent publications reveals three dominant thematic clusters: pandemic-induced economic adaptations (evident in studies on ultramarathon participation, tennis careers, and telemedicine), persistent regional distress drivers (opioid crisis, broadband access, investment barriers), and structural economic mechanisms (spatial skill distribution, rail infrastructure capitalization, Kyoto Protocol impacts). These works consistently bridge theoretical regional science with actionable policy insights for institutions like the Appalachian Regional Commission. As Director of the RRI, she oversees an interdisciplinary research hub connecting economists, geographers, and policy analysts to address Appalachian development challenges. The institute serves as a critical interface between academic research and federal/state economic development agencies, leveraging her advisory roles with the Bureau of Economic Analysis and Northeast Regional Center for Rural Development.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +۴ مورد دیگر

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics , University of Patras, where he holds the Division of Computer Software . He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab) . His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center. Education : B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985) Research Focus : His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra , Parallel/Distributed Processing , and Data Mining . Recent publications highlight innovations in Randomized Numerical Linear Algebra , Heterogeneous Cluster Scheduling , and GPU-Accelerated Inversion Techniques . Article Trends : His research bridges High-Performance Computing with Data Science , focusing on scalable algorithms for Matrix Computations , Recommender Systems , and Biomarker Analysis . The work spans theoretical advancements (e.g., Givens Rotations ) and practical implementations (e.g., pylspack library). Scientific Awards : NASA Group Achievement Award for Massively Parallel Processor (MPP) development ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012) Advising and Grants : He has advised numerous research projects funded by European Research Council , Hellenic Foundation for Research and Innovation (HFRI) , and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24). Labs and Teams : He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making . His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.

Timothy C. Bartholomausمشاهده پروفایل

دانشیار

• Glaciology
• Glacier Dynamics
• Ice Sheet Modeling
• +۶ مورد دیگر

Dr. Timothy C. Bartholomaus serves as Associate Professor in the Department of Earth and Spatial Sciences within the College of Science at the University of Idaho. Leading the Glacier Dynamics Group in Moscow, ID, his research integrates seismology and geophysics to investigate glacier dynamics, ice-ocean interactions, and sea level rise projections. His work spans field sites in Alaska, Greenland, Antarctica, and Svalbard with emphasis on subglacial hydrology, iceberg calving mechanisms, and rapid ice loss processes. His educational background includes: PhD in Geophysics (2013), University of Alaska Fairbanks MS in Geological Sciences (2007), University of Colorado Boulder AB in Earth Sciences (2002), Dartmouth College Bartholomaus' research focuses on the fundamental processes driving glacier acceleration and mass loss. His group employs seismic monitoring to map subglacial water systems, revealing how conduit branching and pressure gradients control ice flow. Seminal work demonstrated that changes in subglacial water storage—not total throughput—govern glacier velocity, overturning prior assumptions. Current projects examine glacier surges through enthalpy-based modeling, ice mélange impacts on fjord stratification, and calving style differentiation using terminus change time series. Analysis of his recent publications reveals strong emphasis on interdisciplinary approaches combining seismology, hydrology, and remote sensing. Key trends include seismic mapping of subglacial hydrology during surge cycles, quantification of submarine melt effects on calving, and development of applied ice sheet modeling frameworks for policy relevance. His work increasingly addresses societal implications through sea level rise projections and community engagement initiatives. As principal investigator, Bartholomaus has secured funding from the National Science Foundation and the University of Alaska Fairbanks Center for Global Change. His Glacier Dynamics Group mentors graduate students through field campaigns in Alaska and Greenland, with recent graduates including Dr. Chris Miele (PhD dissertation: 'Shearing shelves, mathematical modeling, and fracture factories'). The group actively participates in major workshops including the Future of Greenland Ice Sheet Science (FOGSS) and Northwest Glaciologists meetings. The Glacier Dynamics Group operates through collaborative networks including the International Glaciological Society and multi-institutional projects like the 2023 FOGSS workshop hosted at UI. Field operations span the St. Elias Range, Greenland fjords, and Antarctic ice shelves, utilizing seismic arrays, GPS monitoring, and oceanographic sensors to capture ice-ocean interactions at process scales.

Ian Burkeمشاهده پروفایل

استاد

• Environmental Geochemistry
• Radionuclide Behavior
• Contaminated Land
• +۴ مورد دیگر

Dr. Ian Burke is a Professor of Environmental Science at the University of Leeds' School of Earth and Environment. With expertise in environmental geochemistry, radionuclide behavior, and contaminated land management, his research focuses on metal contaminants, alkaline wastes, and molecular environmental science. He employs advanced techniques like EXAFS, SEM/TEM, and geomicrobiology to study contaminant mobility and bioavailability in natural and engineered systems. PhD in Marine Geochemistry (University of Southampton, 2001) BSc (Hons) in Environmental Geoscience (University of Edinburgh, 11998) His work addresses critical environmental challenges through projects like StormFlux (storm pollution dynamics) and SREPTAL (alkaline leachate treatment). Key areas include: Metal speciation and leaching in municipal/industrial wastes Biogeochemical processes in hyperalkaline environments Phytoremediation strategies for mine tailings Radiochemistry of nuclear site contaminants Mineral-based metal recovery systems Recent publications analyze metal dynamics in coastal landfills, concrete waste disposal, and microbial remediation mechanisms. He supervises postgraduate researchers and collaborates with nuclear, mining, and metallurgical industries.

Frederick J. Vetterمشاهده پروفایل

دانشیار

• Cardiac Physiology
• Computational Modeling
• Biomedical Engineering
• +۴ مورد دیگر

Frederick J. Vetter is an Associate Professor at the University of Rhode Island in the Department of Electrical, Computer and Biomedical Engineering . His research focuses on Cardiac Physiology , Computational Modeling , and Biomedical Engineering . Education Ph.D. in Bioengineering, University of California, San Diego (1999) M.S. in Bioengineering, University of California, San Diego (1994) M.B.A., University of California, Davis (1989) M.S. in Electrical and Computer Engineering, University of California, Davis (1988) B.S. in Electrical and Computer Engineering, University of California, Davis (1984) Dr. Vetter's research spans computational cardiology, finite element modeling, and cardiac material parameter optimization using genetic algorithms . His work also extends to biomechanics and cardiac hypertrophy analysis. Key publications include studies on three-dimensional heart models and GPU performance optimization . Scientific Awards : 2009 NSF CAREER Award Dr. Vetter has advised graduate students such as Arun U. Nair and Michael Eugene Dunn, with contributions to patents related to integrated finite element circulatory models . His work bridges engineering and cardiac physiology .

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۱۲ مورد دیگر

Slawomir Nowaczyk is a Professor at the School of Information Technology , Halmstad University. His research focuses on Artificial Intelligence , Machine Learning , and Data Mining , particularly for Streaming Big Data and Knowledge Representation with Weakly-Supervised Models . Practical applications: Predictive maintenance, healthcare informatics, smart industry, and energy systems Developing interestingness metrics for distributed data analysis and self-organization in AI systems Publication Trends : Recent work spans Explainable AI , spatiotemporal forecasting , feature selection , and smart city applications. Key areas include healthcare diagnostics , transportation optimization , and industrial fault detection . Academic Leadership : Serves as Research Leader for the School of Information Technology. Supervises six PhD students and co-supervises one additional student across academic and industrial domains.

• Functional Genomics
• Systems Biology
• Pharmacogenomics
• +۱۱ مورد دیگر

Yuhui Hu is an Associate Professor and Doctoral Supervisor in the Department of Pharmacology, School of Medicine at Southern University of Science and Technology (SUSTech) in Shenzhen, China. She joined SUSTech in August 2016 as an independent PI and was promoted to Associate Professor in the Department of Pharmacology in March 2022, having previously served as a Research Associate Professor in the Department of Biology, School of Life Sciences at SUSTech from 2016-2022. Dr. Hu earned her Ph.D. in Functional Genomics from the Max Planck Institute for Molecular Genetics in Berlin, Germany in 2006. Prior to joining SUSTech, she led her own research group on pharmacogenomics and chemical genetics at the same institute from 2007-2009, then moved to the Berlin Institute for Medical Systems Biology (BIMSB) at the Max Delbrück Center for Molecular Medicine where she served as a Senior Research Scientist until 2016. Her research focuses on integrating diverse systems biology approaches in transcriptomics, genomics/epigenomics, proteomics, CRISPR gene editing, single-cell and spatiotemporal omics to decipher gene regulations in cancer precision medicine and developmental biology. She has pioneered high-throughput platforms for protein subcellular localization, apoptosis detection, and protein-protein interaction analysis. Her work bridges traditional Chinese medicine compounds with modern systems biology approaches to develop new drugs, particularly through the investigation of natural compounds for anticancer and anti-COVID applications. Her recent publications show a strong focus on cutting-edge single-cell and spatial transcriptomics technologies, with multiple high-impact papers in journals like Cell, Nature Communications, and Developmental Cell. Her research group has developed several innovative protocols for sample multiplexing and cell death quantification compatible with single-cell sequencing. Excellent Patent Award, Southern University of Science and Technology (2020) Industrial Development and Innovative Talent Award, Shenzhen (2021) Shenzhen Peacock Talent Award As a Doctoral Supervisor, Dr. Hu leads a research group that has secured significant funding, including six national/provincial projects totaling over ¥7.14 million. She serves as a core PI in the Shenzhen Key Laboratory of Gene Regulation and Systems Biology and holds several academic society positions, including committee member of the division of anti-inflammatory and immunological pharmacology of the Chinese Pharmacological Society, council member of Guangdong Pharmacological Society, and executive director of Guangdong Overseas Returnees Association. Her lab continues to develop novel systems biology approaches for gene regulation and pharmacology research, with a particular focus on cancer genomics and chemical genomics for early diagnosis, therapy, and prognosis.

Evgeniy Redekopمشاهده پروفایل

دانشیار

• Catalysis
• Chemistry
• Energy
• +۷ مورد دیگر

Evgeniy Redekop is an Associate Professor at the University of Oslo , Department of Chemistry. His research focuses on sustainability-relevant catalytic reactions, combining time-resolved perturbation-enhanced kinetics (TAP) , in situ spectroscopy (AP-XPS, IR, XAS) , and multiscale modeling to decode molecular mechanisms. His work spans University of Oslo collaborations, including projects like NanoReactor, TAPXPS, TOMOCAT, and intriCAT. Research interests include: Zeolite- and MOF-catalyzed alkene conversion Metal/oxide-catalyzed CO 2 hydrogenation Selective oxidation on bimetallic surfaces Dynamic processes in reaction/diffusion systems Next-generation materials characterization tools Recent publications highlight 2024 studies on CO 2 hydrogenation zeotypes and 2023 work on ZnZrOx catalyst volatility , alongside 2022 investigations into TAP-AP-XPS synergy for ALD-derived catalysts. His methodologies bridge transient kinetics and surface spectroscopy , advancing understanding of material stability and catalytic efficiency . Contact: evgeniyr@smn.uio.no | Office: ØU40, Department of Chemistry, Sem Sælands vei 26, Oslo

Martin Engeمشاهده پروفایل

دانشیار

• Cancer Stem Cells
• Clonal Evolution
• Single-Cell Multiomics
• +۵ مورد دیگر

Martin Enge is a Senior Researcher and Associate Professor in the Department of Oncology-Pathology at Karolinska Institutet. He holds a Medicine Doctoral degree (2009) from Karolinska Institutet and has been recognized for developing innovative single-cell multiomics methodologies to study cancer biology. Employment: Senior Researcher (2022-), Associate Professor (2023) Location: Bioclinicum v6, Stockholm His research focuses on clonal evolution , gene regulation , and cell interaction in cancer, particularly in pediatric acute lymphoblastic leukemia (ALL) . He investigates how both genetic and epigenetic changes drive tumor progression and response to treatment, using advanced single-cell techniques to distinguish cancer stem cells from stochastic models of tumor growth. His 15 most recent publications span topics including MYC super-enhancer regulation , single-cell transcriptomics in psoriasis , pre-malignant subclones in neuroblastoma , and chromatin interactome in colorectal cancer . These works integrate genomic , transcriptomic , and computational approaches to decode complex disease mechanisms. Scientific Awards: Swedish Childhood Cancer Foundation grant (2021) He leads the research group Cancer stem cells and clonal structure in acute lymphoblastic leukemia at Karolinska Institutet, which has developed novel methods for analyzing functional and genetic errors in individual cells across leukemias and other cancers. His lab is actively involved in understanding pre-leukemic states , relapse mechanisms , and stromal interactions in tumor microenvironments.

Paola Cardamoneمشاهده پروفایل

دانشیار

• Bank De-branching
• R&D and Innovation
• Productivity Analysis
• +۵ مورد دیگر

Paola Cardamone serves as Associate Professor of Economic Policy within the Department of Economics, Statistics, and Finance (DESF) at the University of Calabria (UNICAL). She concurrently holds key administrative roles as Deputy Coordinator of both the Bachelor's and Master's Degree programs in Economics (since 2024) and as a member of the Quality Assurance Management Group (since 2017), having previously served on the DESF Board from 2015 to 2017. Her academic profile is anchored in rigorous empirical research on innovation dynamics and economic policy impacts. Her research program critically examines bank de-branching effects on regional firm creation, R&D spillovers in family-owned enterprises, university-industry knowledge transfer, and preferential trade agreement effectiveness. With strong methodological expertise in spatial econometrics and firm-level analysis, she investigates how geographical proximity, ownership structures, and green transition initiatives influence productivity—particularly within Italian manufacturing and food sectors. Recent work reveals family firms' distinct innovation patterns and the spatially contingent nature of knowledge diffusion. Analysis of her publication trajectory shows consistent focus on microfoundations of innovation, with increasing attention to sustainability dimensions since 2019. Her work demonstrates sophisticated use of quantile regression and spatial modeling to uncover heterogeneous effects across firm types, challenging uniform policy assumptions. The recurring emphasis on Italian regional contexts provides valuable insights for place-based economic development strategies. Cardamone actively contributes to the DIVARI DI PRODUTTIVITA', INNOVAZIONE E POLITICHE DI SVILUPPO research group, which examines efficiency, innovation diffusion, eco-innovation pathways, and European structural fund impacts. This collaborative environment supports her investigations into knowledge spillovers, green economy transitions, and university-firm linkages through meritocratic management practices.

Vincent Danjeanمشاهده پروفایل

دانشیار

• Parallel Computing
• High-Performance Computing
• Task-Based Parallelism
• +۶ مورد دیگر

Vincent Danjean is an associate professor at Grenoble Alpes University , specializing in parallel computing, high-performance computing, and bioinformatics. He earned his PhD in 2004 from École Normale Supérieure de Lyon under the supervision of Raymond Namyst. Research Interests: Vincent's work spans several critical areas in computational science: Parallel and Distributed Systems: Focus on task-based parallelism and hybrid cluster architectures. Performance Analysis: Development of visual frameworks for analyzing parallel applications. Bioinformatics: Application of computational methods to genetic and genomic data analysis. GPU Computing: Efficient scheduling and work stealing strategies for multi-GPU systems. Reproducible Research: Workflows using Git and Org-mode for scientific transparency. Publication Trends: His publications demonstrate a consistent focus on advancing parallel computing techniques, with significant contributions to GPU scheduling, cache-efficient algorithms, and visualization tools. Recent work includes interdisciplinary applications in genomics and cybersecurity protocols. Contact: vincent.danjean@imag.fr

Thomas Grundمشاهده پروفایل

استاد

• Social Network Analysis
• Analytical Sociology
• Complex Systems Modeling
• +۳ مورد دیگر

Thomas Grund is a Full Professor at the Institute of Sociology at RWTH Aachen University, Germany. He previously held professorial positions at University College Dublin (Ireland), where he served as Professor (2021-2022), Associate Professor (2018-2021), and Assistant Professor (2015-2018). He has also been a Visiting Professor at the University of Zurich and the University of Manchester. His educational background includes a DPhil in Sociology from the University of Oxford (2007-2011), an MPhil in Modern Society and Global Transformations from the University of Cambridge (2005-2006), and a Diplom in Sociology from the University of Trier (2001-2005). He also holds a Vordiplom in Computer Sciences and Business Administration from the University of Trier (2000-2002). Grund's research focuses on social network analysis, complex systems modeling, and analytical sociology. His work examines how social structures limit individuals' view of the world, how embeddedness in social context affects behavior, and how combined relational patterns lead to macro-level outcomes. His research spans diverse empirical settings including crime, sports, health, and social movements. Recent publications demonstrate a strong focus on network analysis applications across various domains. His work shows consistent methodological sophistication with increasing emphasis on computational approaches to social science. The research spans political science, criminology, public health, and sociology, reflecting his interdisciplinary approach. Teaching Excellence Award at University College Dublin (2017) Grund has developed innovative teaching methods incorporating technology-enhanced learning strategies, including video trailers, live surveys, and game-based learning. He is currently developing a software suite for network analysis using Stata and has co-authored 'Social Network Analysis Using Stata' with Peter Hedström, forthcoming with Stata Press. His research is conducted through collaborations with various institutions and research groups focused on social network analysis and computational social science.

N. Bora Keskinمشاهده پروفایل

دانشیار

• Dynamic pricing
• revenue management
• statistical learning
• +۵ مورد دیگر

N. Bora Keskin serves as Associate Professor of Business Administration at Duke University's Fuqua School of Business, specializing in data-driven optimization for dynamic pricing, revenue management, and operational systems. His work bridges theoretical operations research with practical applications in evolving market environments. His research focuses on developing machine learning and statistical methods for pricing under demand uncertainty, with emphasis on perishable inventory, platform operations, and service management. Current investigations include blockchain-enabled supply chain transparency, smart meter-based electricity pricing, and multi-agent learning in competitive markets, demonstrating consistent innovation in integrating high-dimensional data with classical optimization frameworks. Recent publications reveal a trajectory toward interdisciplinary applications, combining reinforcement learning with stochastic modeling to address challenges like reference price effects, information asymmetry in insurance, and congestion in two-sided platforms. Key themes involve personalization, nonstationary demand learning, and incentive design in complex systems. Dr. Keskin's scientific contributions have been recognized with prestigious awards including: Winner, MSOM Young Scholar Prize (2024) Winner, Lanchester Prize (2019) Winner, Triangle Impact Challenge (2021) Markov Lecture Discussant, INFORMS Applied Probability Society (2023) Multiple best paper awards across INFORMS conferences (2020-2024) While specific doctoral student mentorship details and grant funding information are not provided in available materials, his collaborative research spans institutions including Chicago Booth and UNSW, with works featured in Duke Fuqua Insights and INFORMS publications. No dedicated research labs or teams are explicitly referenced in the source text.

Richard Lemoine-Rodriguezمشاهده پروفایل

پژوهشگر ارشد

• Urban form
• Urban heat island
• Remote sensing
• +۷ مورد دیگر

Richard Lemoine-Rodriguez is a Postdoctoral Research Fellow in the English Linguistics department at the Institute of Modern Languages, University of Würzburg. His unique interdisciplinary position bridges traditional linguistics with advanced geospatial analysis through the emerging field of Geolingual Studies, which examines the interconnection between language patterns and physical urban spaces. His educational background reflects this interdisciplinary approach, holding a Dr. rer. nat. in Geography from Ruhr-Universität Bochum (dissertation: "Urban form, urban warming and time. From global regularities to local heterogeneities"), a Master in Geography from the National Autonomous University of Mexico (thesis on urban conurbations in Morelia), and a Bachelor in Biology from the University of Veracruz (thesis on vegetation cover changes in Xalapa). Lemoine-Rodriguez's research integrates concepts from urban ecology, geoinformatics, and digital humanities to study cities as complex socio-ecological systems. His primary interests include urban form, social perception, urban big data, urban heat island effects, remote sensing, and the relationship between linguistic patterns and spatial organization. He approaches cities as complex systems where physical and social dimensions interact, aiming to uncover patterns that can inform more sustainable urban development. His work often employs large-scale spatial analysis of social media data to understand how people interact with and perceive urban environments. His recent publications (2024-2025) reveal a strong focus on the intersection of urban morphology, social media analytics, and climate impacts. He has developed innovative methods for analyzing geotagged social media content to understand urban concerns, particularly regarding heat exposure. His work on "Geolingual Studies" represents a novel approach combining linguistics with remote sensing to assess how physical and social spaces interrelate. The publication pattern shows increasing international collaboration, particularly with researchers from Germany, Mexico, and other global partners. As a developer of research tools, he co-created LSTtools, an R package for processing thermal data from Landsat and MODIS images, demonstrating his technical expertise in geospatial analysis. He is actively involved in multiple professional networks including the Global Land Programme, Ecosystem Services Partnership, Society for Urban Ecology, and the International Association for Urban Climate, reflecting the interdisciplinary nature of his work. Lemoine-Rodriguez teaches in the Spatio-temporal dynamics of urban systems and the EAGLE Master program at the University of Würzburg, sharing his expertise in geospatial analysis and urban studies. He has previously taught courses on GIS modeling, remote sensing, and spatial analysis at institutions including Ruhr-Universität Bochum and the National Autonomous University of Mexico.