جست‌وجوی استاد و پژوهشگر

Aleksandar Dimitrovskiمشاهده پروفایل

دانشیار

• Power Systems
• Microgrid Protection and Control
• Parallel Simulation of Power Systems
• +۵ مورد دیگر

Dr. Aleksandar Dimitrovski is an Associate Professor at the University of Central Florida (UCF) in the Department of Electrical and Computer Engineering, College of Engineering and Computer Science. Holding a Ph.D. in Power Engineering from Saints Cyril and Methodius University (1997), his research focuses on power system modeling under uncertainty, microgrid protection, parallel simulation techniques, and renewable energy integration. Ph.D., Power Engineering, Saints Cyril and Methodius University (1997) Active research areas: Power System Protection, Parallel Simulation, Solar Integration, Magnetic Amplifiers His publications emphasize advanced simulation algorithms like Parareal, probabilistic forecasting for solar power, and magnetic reactor applications in grid control. He has led DOE-funded projects on solar integration and real-time grid protection. Fulbright Scholar (2016) R&D 100 Award (2014) Prof. Dimitrovski serves as an IEEE Senior Member, CIGRE member, and reviewer for journals like IEEE Transactions on Power Systems and Smart Grid. He developed the open-source RAPID simulation toolbox and contributed to cyber-physical security frameworks for smart grids.

Kevin Schneiderمشاهده پروفایل

استاد

• Software Architecture and Design
• Software Evolution and Maintenance
• Software Analysis and Navigation
• +۶ مورد دیگر

Dr. Kevin Schneider is a Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on software architecture, evolution, analysis, and visualization, with notable work in quantum computing applications and machine learning. He also explores collaborative software teams and domain-specific languages to enhance development processes. Education: Ph.D., Computing and Information Science, Queen’s University (2000) Research Associate, Computing and Information Science, Queen’s University (1991–94) M.Sc., Computing and Information Science, Queen’s University (1990) B.Sc.(Hon), Computational Science, University of Saskatchewan (1980) Research interests include software design principles, maintenance strategies, and the integration of AI/quantum computing into software engineering. He emphasizes reproducibility in scientific workflows and tools like VizSciFlow. His work often bridges theory and practice, addressing challenges in code clone stability, user feedback management, and healthcare-related machine learning frameworks. Scientific Awards: Most Influential Paper at SCAM 2001 for his work on software engineering via source transformation. Advising and grants: While no specific advisees are listed, his research involves large-scale projects such as the Nutrient App and automated polyp segmentation tools. He collaborates on grants related to quantum computing applications and cloud-based software systems. Labs and teams: His work centers on collaborative scientific data analysis groups and developing tools for real-time groupware systems in complex workflows. He contributes to projects like CloneCognition and FSECAM, aiming to improve software design and maintenance through advanced analytics.

Jens Bochمشاهده پروفایل

استاد

• Genome Editing
• Plant Biotechnology
• Bacterial Pathogens
• +۳ مورد دیگر

Prof. Jens Boch is a Professor at Leibniz University Hannover's Institute of Plant Genetics, specializing in plant biotechnology and genome editing. He leads the Boch group, focusing on developing crops with improved traits using TALEN and CRISPR tools. His research investigates plant pathogens like Xanthomonas , particularly their TALE effectors that manipulate host genes. Key roles include Chair of the Biology Examination Board and membership in external committees such as the Konferenz Biologischer Fachbereiche (KBF). Education & Affiliations: No explicit education details provided; affiliated with Leibniz University Hannover's Faculty of Natural Sciences. Research Interests: Genome editing applications in agriculture, bacterial pathogen strategies (e.g., Xanthomonas TALE effectors), plant defense mechanisms, and crop improvement. Recent work includes base editor developments for mitochondrial disease modeling (2025), allergen reduction in mustard (2022), and TALE-based tools for gene activation (2022). His group collaborates on projects like removing allergens and enhancing cattle heat resistance via embryo editing. Media contributions include podcasts and discussions on genome editing ethics and applications.

Bradley S. Singerمشاهده پروفایل

استاد

• Volcanology
• Geochronology
• Earth's Magnetic Field
• +۳ مورد دیگر

Bradley S. Singer is a Vilas Distinguished Professor in the Department of Geoscience at the University of Wisconsin-Madison. His research focuses on geochronology to address volcanic evolution, geomagnetic field history, and sedimentary basin chronostratigraphy. He leads the WiscAr Geochronology Laboratory and an international project investigating ice-magma interactions in the Southern Andes. His work integrates field studies, lab-based geochronology, and numerical modeling to understand magmatic processes and their environmental influences. Research interests include volcanic hazards, magma storage dynamics, and the interplay between glacial cycles and volcanic activity. Recent projects explore the Patagonian Ice Sheet's impact on Andean volcanism and the geochemical evolution of igneous systems. Singer teaches courses on petrology, geochronology, and natural disasters. Scientific awards include the Vilas Distinguished Professorship. Current graduate students include Pablo Moreno-Yaeger and Jack Stalla. Collaborative grants focus on ice-forcing mechanisms in magma systems and Cretaceous chronostratigraphy. The WiscAr Lab is a hub for interdisciplinary geochronology research, supporting both internal and external projects.

Yuri Berestمشاهده پروفایل

استاد

• Algebra
• Geometry
• Representation Theory
• +۳ مورد دیگر

Yuri Berest is a Professor in the Department of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. He holds a Ph.D. from Université de Montreal (Canada, 1997). His research focuses on representation theory, noncommutative geometry, algebraic geometry, homological algebra, and mathematical physics, with a particular emphasis on their interdisciplinary interactions. Recent work explores derived algebraic geometry, algebraic homotopy theory, and their applications in representation theory and low-dimensional topology. Notable research interests include derived representation schemes, cyclic homology, Cherednik algebras, and quasi-invariants of reflection groups. He has been honored with the 2019 Simons Fellowship. His teaching includes advanced courses such as Homotopy Theory (MATH 6540) and Lie Groups and Lie Algebras (MATH 6390). Advising activities are reflected through supervised research courses (e.g., MATH 4900). Education: Ph.D. in Mathematics, Université de Montreal, 1997 Awards: Simons Fellowship in Mathematics, 2019 Grants & Funding: Not explicitly detailed in available texts His publications span foundational topics in algebraic structures and their geometric/topological manifestations, with applications to mathematical physics. Collaborative work includes studies on representation homology and algebraic homotopy theory.

Sahara Byrneمشاهده پروفایل

استاد

• Media Effects
• Health Communication
• Youth and Media
• +۲ مورد دیگر

Dr. Sahara Byrne is Professor in the Department of Communication at Cornell University's College of Agriculture and Life Sciences. As Senior Associate Dean, she oversees academic initiatives while maintaining an active research program on unintended effects of persuasive messaging, particularly health campaigns targeting youth risk behaviors. She teaches courses in media effects, persuasion, media and human development, and strategic communication. Her pedagogical excellence has been recognized with multiple awards including the Chancellor's Award for Excellence in Teaching and Donald C. Burgett Distinguished Advising Award. Research focuses on: Youth resistance to health interventions E-cigarette warning effectiveness Risk communication paradoxes Visual attention to health warnings Emotional responses to prevention messages Publications demonstrate consistent examination of tobacco warning labels, with recent emphasis on e-cigarette regulations, message framing effects, and target audience segmentation. Studies employ diverse methods including focus groups, eye-tracking, and experimental designs. Awards include: Chancellor's Award for Excellence in Teaching (2013) Innovative Teaching Award (2012) Donald C. Burgett Distinguished Advising Award (2017) Kendall S. Carpenter Memorial Advising Award (2016) Her research informs public health policy through experimental evidence on message design for tobacco control and youth risk prevention, with current projects examining linguistic framing of uncertain risks in health communications.

John Marshallمشاهده پروفایل

استاد

• Mathematical modeling of infectious diseases
• Genetics-based strategies for mosquito control
• Malaria elimination
• +۴ مورد دیگر

John Marshall is a Professor in the Department of Biostatistics and Epidemiology at the School of Public Health, University of California, Berkeley. His research focuses on using mathematical models to inform novel genetics-based strategies for mosquito control and to support efforts to control and eliminate mosquito-borne diseases such as malaria, dengue, and Zika virus. Dr. Marshall received his PhD in biomathematics from UCLA in 2008, with a dissertation on the use of GM mosquitoes to control malaria transmission. Prior to joining UC Berkeley, he worked on several aspects of this project as a PostDoc at the UCLA Center for Society & Genetics, the Malaria Research and Training Center in Mali, Caltech, and Imperial College London. His research interests include mathematical modeling of infectious diseases, genetics-based strategies for mosquito control, malaria elimination, dengue control, Zika virus control, gene drive systems, and vector control. He has developed the Mosquito Gene Drive Explorer (MGDrivE), a framework for testing gene-drive releases for mosquito-borne diseases control that models inheritance matrices, life-history, and migration across spatial landscapes. Dr. Marshall has secured significant funding for his research, including an $800,000 grant from the Bill & Melinda Gates Foundation in 2021 for genetics-based malaria mosquito control and an NIH grant in 2020 for mosquito movement and control research. He leads the Marshall Lab which collaborates with researchers from Tecnológico de Monterrey and IHME through the Mosquito Networks Taskforce (MoNeT). His recent publications demonstrate interdisciplinary work spanning epidemiology, genetics, computational biology, and vector control, with a focus on gene drive systems, surveillance methods, and cost-effectiveness analyses for malaria elimination. $800,000 grant from the Bill & Melinda Gates Foundation (2021) NIH grant for mosquito movement and control (2020) Dr. Marshall mentors numerous students and researchers including Héctor M. Sánchez C. (lead of MoNeT), Kevin Islas Abud, Luis Rodrigo Careaga Sotomayor, and others working on machine learning applications, network theory, and spatial analysis related to mosquito-borne diseases. He teaches courses PH 252B Modeling the dynamics of infectious disease processes and PH 295 Infectious disease modeling seminar at UC Berkeley.

Jean-Philippe Avouacمشاهده پروفایل

استاد

• Geomechanics
• Seismology
• Geodesy
• +۵ مورد دیگر

Jean-Philippe Avouac is the Earle C. Anthony Professor of Geology and Mechanical and Civil Engineering at the California Institute of Technology (Caltech). He is also the Associate Director of the Center for Autonomous Systems and Technologies and the former Director of the Tectonic Observatory (2004–2013). His academic career includes roles at the University of Cambridge (2018–2021) and leadership in geomechanics research. Avouac holds a M.E. from École Polytechnique (1987), a Ph.D. from Institut de Physique du Globe de Paris (1991), and a Habilitation (1992). His research focuses on crustal deformation, earthquake mechanics, and geomorphic processes, using field observations, geodetic measurements, and remote sensing. He has authored over 200 peer-reviewed publications and pioneered geodetic imaging techniques. Key research areas include seismicity forecasting, fault dynamics, and subsurface engineering impacts. Awards include the AGU Fellow distinction and the Wolfson Merit Award. Avouac advises numerous PhD students and postdocs, directing labs like the Center for Geomechanics and Mitigation of Geohazards. His work spans tectonic processes in the Himalayas, induced seismicity, and planetary surface dynamics.

Timothy A. McKayمشاهده پروفایل

استاد

• Data Science
• Learning Analytics
• Physics and Astronomy Education
• +۲ مورد دیگر

Timothy A. McKay serves as the Arthur F. Thurnau Professor of Physics, Astronomy, and Education at the University of Michigan's College of Literature, Science, and the Arts (LSA), where he also holds the administrative role of Associate Dean for Undergraduate Education. His dual expertise bridges astrophysics research and educational innovation, with significant contributions to both observational cosmology and learning analytics. His educational background includes: B.S. in Physics from Temple University (1986) Ph.D. in Physics from the University of Chicago (1992) McKay's research spans two interconnected domains. In observational cosmology, he pioneered work with major astronomical surveys including the Sloan Digital Sky Survey (SDSS), Robotic Optical Transient Search Experiment (ROTSE), and Dark Energy Survey (DES), focusing on galaxy clusters, cosmic rays, and large-scale structure. Since 2015, he has strategically shifted toward learning analytics, applying data science to transform STEM education. His innovative projects include E 2 Coach (a personalized student support system) and the NSF-funded REBUILD initiative, which creates intergenerational research teams to develop evidence-based teaching practices across physics, chemistry, astronomy, biology, and mathematics. Analysis of his publication trajectory reveals a deliberate pivot from astrophysics to educational research around 2015. While his early work centered on galaxy clusters and cosmological phenomena, recent publications (2020-2024) overwhelmingly focus on systemic equity gaps in STEM education, data-driven interventions, and multi-institutional collaborations. This evolution demonstrates how his data science methodology transitions seamlessly between cosmic structures and educational ecosystems. His scientific recognition includes: Prestigious Arthur F. Thurnau Professorship (awarded for exceptional undergraduate teaching) McKay directs the NSF-funded REBUILD project and the Digital Innovation Greenhouse, securing substantial research funding while mentoring undergraduate and graduate students in interdisciplinary teams. His work with the Big Ten Academic Alliance (CIC) has generated cross-institutional studies on grading patterns, performance disparities, and student support systems, with practical applications implemented across multiple universities. He actively collaborates with faculty across STEM disciplines to develop scalable educational technologies. His research infrastructure includes the Digital Innovation Greenhouse (an educational technology incubator) and REBUILD project teams, which integrate undergraduates, graduate students, postdocs, and faculty in evidence-based educational research. These teams operate at the intersection of data science and pedagogy, developing tools that analyze institutional datasets to personalize student support while maintaining rigorous scientific methodology.

• Neural Network Dynamics
• Computational Neuroscience
• Theoretical Physics
• +۳ مورد دیگر

Prof. Raoul-Martin Memmesheimer is a Professor at the University of Bonn's Institute of Genetics , contributing to the Transdisciplinary Research Area (TRA) - Life and Health . His research focuses on understanding neural network dynamics across microscopic, mesoscopic, and large-scale phenomena, integrating mathematical approaches with neurophysiological insights. Key interests include the dynamics of precise spiking activity, collective network behavior, and computational principles underlying neural systems. Education & Background : While specific educational details are not listed, his position as a Professor indicates advanced academic qualifications in theoretical neuroscience or related fields. Research Interests : Memmesheimer's work bridges theoretical physics and computational neuroscience, addressing topics like spiking neuron models, learning in neural networks, and the emergence of complex behaviors. His group employs methods from computer science and applied mathematics to study how neural systems perform computations through their dynamic properties. Publications : Recent work explores topics such as gradient descent learning in spiking networks, STDP-based assembly dynamics, and oscillatory phenomena in hippocampal regions. These publications highlight his focus on both foundational theory and applications to biological systems. Awards & Collaborations : While no specific awards are listed, his participation in TRA Life and Health underscores collaborative efforts in transdisciplinary health-related research. His work is supported by the University of Bonn's strong focus on transdisciplinary innovation. Labs & Teams : His research group operates within the Institute of Genetics, leveraging interdisciplinary resources at the University of Bonn to advance theoretical neuroscience and computational biology.

Anirban Mondalمشاهده پروفایل

دانشیار

• Bayesian Inference
• Markov Chain Monte Carlo Methods
• Spatial Statistics
• +۵ مورد دیگر

Anirban Mondal is an Associate Professor and Director of Graduate Studies at Case Western Reserve University's Department of Mathematics, Applied Mathematics and Statistics, specializing in Bayesian Inference, Markov Chain Monte Carlo Methods, and Uncertainty Quantification. Holding a Ph.D. in Statistics from Texas A&M University, his research spans spatial statistics, inverse problems, and data mining applications across biomedical, materials science, and public health domains. Education: Ph.D. in Statistics, Texas A&M University His recent publications (2022-2024) demonstrate interdisciplinary applications including heart disease prediction via optimized machine learning, additive manufacturing defect analysis, and pandemic transmission modeling. While primarily focused on Bayesian frameworks and computational statistics, his work extends to geomechanics, remote sensing, and environmental risk assessment. Current research explores advanced sampling algorithms, functional data emulation, and multiscale hierarchical modeling for complex systems. Key trends include uncertainty quantification in machine learning systems (2024), Bayesian calibration methods (2023), and pandemic modeling (2022). His work balances methodological innovation with real-world applications in medical diagnostics, materials science, and climate science. Contact: anirban.mondal@case.edu

Danyu Linمشاهده پروفایل

استاد

• Statistical Genetics
• Genetic Epidemiology
• Bioinformatics
• +۴ مورد دیگر

Danyu Lin is the Dennis Gillings Distinguished Professor of Biostatistics at the University of North Carolina at Chapel Hill. He is affiliated with the Lineberger Comprehensive Cancer Center and the Center for AIDS Research. His research focuses on statistical methods for biomedical studies, including survival analysis, statistical genetics, and genetic epidemiology. Dr. Lin has published over 200 peer-reviewed articles in leading journals and developed methods incorporated into commercial software. Education: PhD, Biostatistics, University of Michigan, 1989 MS, Biostatistics, University of Michigan, 1986 Research Interests: Dr. Lin’s work spans statistical genetics (GWAS, sequencing studies), survival analysis methodologies, longitudinal data analysis, and design optimization for medical studies. He emphasizes applications in cancer, AIDS, cardiovascular diseases, and psychiatric research. Awards: COPSS George W. Snedecor Award (2019) ICSA Distinguished Achievement Award (2015) Mortimer Spiegelman Award (1999) Fellowships: ASA (2000), IMS (1999) Service & Leadership: Dr. Lin has held editorial roles at Biometrika , JASA , and Statistica Sinica . He served on NIH study sections, DSMB committees, and advisory boards for institutions like the Fred Hutchinson Cancer Research Center. He chairs multiple search and promotion committees within the Gillings School. Labs/Teams: Leads statistical methodology development for large-scale biomedical studies, particularly in genetic epidemiology and vaccine efficacy analysis (e.g., SARS-CoV-2 research).

Arno Siebesمشاهده پروفایل

استاد

• Data Mining
• Pattern Mining
• Minimum Description Length Principle
• +۲ مورد دیگر

Arno Siebes is Professor of Algorithmic Data Analysis in the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. His research focuses on data mining methodologies, particularly pattern mining and Minimum Description Length (MDL) principles. Key research areas include: Developing efficient algorithms for pattern discovery Applying MDL to data characterization Creating interpretable models for complex datasets Addressing challenges in data science education Recent publications demonstrate applications in diverse domains including mobility analysis, genomic screening, and pandemic response. His work combines theoretical foundations with practical implementations for knowledge discovery.

Erlend Lavikمشاهده پروفایل

استاد

• Television Studies
• Film History
• Film and TV Analysis
• +۳ مورد دیگر

Erlend Lavik is Professor at the Department of Information Science and Media Studies, University of Bergen, Norway. Specialising in television studies, film history, and digital criticism, he leads research on cinematic television, narrative complexity, and the scholarly video essay. He is a key figure in the study of HBO’s The Wire , which he frames as emblematic of the medium’s “third golden age.” Education 2008 – PhD, Changing Narratives. Five Essays on Hollywood History , University of Bergen 2001 – MA (hovedoppgave), Kjærlighet i seriemonogamiets tidsalder. Romantiske komedier i Hollywood , University of Bergen Research Interests Lavik’s work interrogates the intersection of aesthetics, narrative theory, and media policy. Core themes include: Serial television and long-form storytelling Film and television authorship (showrunner model, copyright aesthetics) Digital criticism and the video essay as scholarly genre Hollywood historiography from classical to post-classical cinema Documentary ethics and truth claims in factual media Publication Trends Across more than 60 publications, Lavik moves fluidly between peer-reviewed journals, academic monographs, trade-press essays, and experimental video essays. Recurrent case studies include The Wire , The Sopranos , Succession , and blockbuster cinema, examined through lenses of narrative complexity, intertextuality, and cultural memory. Selected Public Engagement & Service Chairman of the jury, Best Norwegian Documentary, Bergen International Film Festival 2012 Keynote speaker, Nordic Media Conference, Akureiri 2011; NTNU seminar on video essays 2012 Public lectures at NRK Drama, University of Tromsø, Bergen Public Library, and numerous film clubs Labs, Teams, Collaborations Lavik is affiliated with the research group Film, Television, and Visual Culture at the University of Bergen, where he collaborates on projects concerning production studies, visual aesthetics, and digital distribution. While specific grant numbers are not listed, his sustained output and conference presence indicate ongoing funded research within Norwegian and European media-studies networks.

Stephan Stolzمشاهده پروفایل

استاد

• Geometric Topology
• Algebraic Topology
• Differential Geometry
• +۳ مورد دیگر

Stephan Stolz is a Professor in the Department of Mathematics at the University of Notre Dame, affiliated with the College of Science. His research focuses on geometric and algebraic topology, differential geometry, and questions related to positive scalar curvature and moduli spaces. He holds a Vardiplom from the University of Bielefeld (1975), a Diplom from the University of Bonn (1979), and a Ph.D. from Mainz University (1984). Stolz has made significant contributions to understanding the interplay between topology and geometry, particularly in the classification of manifolds with specific curvature properties. His work often bridges algebraic topology with geometric analysis, including studies on elliptic cohomology, supersymmetric field theories, and the Gromov-Lawson conjecture. He has organized initiatives like the RTG: Geometry and Topology (2016) and contributed to conferences such as the Topology and Field Theories summer school (2012). His research outputs span over four decades, addressing topics like spinor bundles on loop spaces, factorization algebras, and the relationship between differential forms and supersymmetric field theories. While no formal awards are listed, his extensive publication record reflects sustained academic impact in his fields. Stolz collaborates actively with institutions like UC San Diego and has supervised projects involving algebraic structures in quantum field theories. His office is located in 166A Hurley Bldg, and he remains a key figure in geometric topology and related mathematical physics areas.