جستجوی استاد راهنمای دانشگاهی

Hauke Schmidtمشاهده پروفایل

دانشگاهی

• Climate Physics
• Atmospheric Circulation
• Climate Sensitivity
• +۱۱ مورد دیگر

Hauke Schmidt is a Group Leader in the Department of Climate Physics at the Max Planck Institute for Meteorology (MPI-M) in Hamburg, Germany. He leads the 'Global Circulation and Climate' research group and serves as Deputy Director of the 'Atmosphere in the Earth System' department. His work focuses on climate modeling, atmospheric circulation, and climate sensitivity, using tools such as the ICON-Sapphire storm-resolving model and idealized radiative-convective equilibrium models. His research interests center on understanding how atmospheric circulation influences Earth's climate response to forcings, particularly equilibrium climate sensitivity (ECS). He investigates processes in the upper tropical troposphere, pattern effects, and the vertical structure of climate models. His work spans atmospheric dynamics, chemistry-radiation interactions, solar and volcanic forcing, climate engineering, and adjoint modeling for sensitivity analysis. The recent publications highlight a strong focus on high-resolution climate modeling (ICON-Sapphire), radiative feedbacks, stratospheric aerosol effects, volcanic and solar forcing, and model development. His work bridges theoretical atmospheric dynamics with practical Earth system modeling, contributing significantly to CMIP and GeoMIP intercomparisons. Scientific Awards and Honors: Contributing Author, IPCC AR5 WG1 (Chapter 7: Clouds and Aerosols) Advising and Grants: Hauke Schmidt has advised numerous PhD and Master’s students, including Helene Glöckner, Abisha Gnanaraj, Moritz Günther, Paul Keil, Clarissa Kroll, and Sally Dacie. He has led and participated in multiple major research projects funded by DFG, BMBF, and EU programs, such as VolImpact, CELARIT, ComparCE, EUTRACE, and IMPLICC. These projects focus on volcanic impacts, climate engineering, and solar variability. Labs and Teams: He leads the 'Global Circulation and Climate' group within the Department of Climate Physics at MPI-M. He is actively involved in the development and application of the ICON and ECHAM/HAMMOZ family of models. He has contributed to the UA-ICON extension for middle atmosphere simulations and the konrad radiative-convective model.

Amanda Bienzمشاهده پروفایل

استادیار

• High Performance Computing
• Parallel Computing
• Numerical Methods
• +۴ مورد دیگر

Amanda Bienz serves as an Assistant Professor in the Department of Computer Science at the University of New Mexico (UNM), where she leads the Scalable Solvers Lab and acts as faculty advisor for Women in Computing. Her academic roles include teaching operating systems and parallel computing courses while spearheading efforts to restructure New Mexico's CS4ALL curriculum for statewide computer science education expansion. Her research centers on overcoming communication bottlenecks in high-performance computing systems, specifically targeting the performance gap between emerging exascale hardware and real-world applications. Key focus areas include developing portable communication optimizations, enhancing MPI collective operations, creating topology-aware message passing extensions, and benchmarking heterogeneous architectures. Her work directly addresses critical challenges in scaling parallel applications through innovations in sparse solvers, neighborhood collectives, and node-aware communication strategies for GPU-accelerated systems. Analysis of her 2022-2024 publications reveals consistent emphasis on communication optimization across diverse HPC domains. Her research demonstrates particular expertise in irregular communication patterns, locality-aware algorithms, and performance modeling for heterogeneous architectures. Significant contributions include novel approaches to sparse dynamic data exchange, compressed linear algebra algorithms, and persistent communication techniques that reduce synchronization overhead in large-scale simulations. Scientific Awards: NSF CAREER Award for "Towards Exascale Performance of Parallel Applications" Dr. Bienz actively mentors students through the Scalable Solvers Lab, welcoming new researchers interested in high-performance computing. Her NSF CAREER grant provides substantial research funding supporting both technical innovation and educational initiatives. The CS4ALL curriculum restructuring project demonstrates her commitment to broadening computer science access throughout New Mexico's K-12 education system. The Scalable Solvers Lab develops open-source tools including the Raptor algebraic multigrid solver and MPI-Advance communication library. Current projects focus on benchmarking heterogeneous architectures (Summit/Lassen supercomputers), optimizing FFT implementations, and creating node-aware communication strategies for conjugate gradient methods. The lab maintains active GitHub repositories with substantial community engagement, including contributions to CUDA-aware MPI implementations and halo exchange libraries for multi-GPU systems.

• Physical Acoustics
• Ultrasonic Imaging
• Modeling and Simulation
• +۷ مورد دیگر

Thomas Brunet is a researcher at the University of Bordeaux, specializing in physical acoustics and functional materials for acoustics. His work spans ultrasound physics, material characterization, and advanced modeling/simulation techniques. Key collaborations with research groups: APY (Physical Acoustics) , Functional Materials for Acoustics , and GCE (Civil and Environmental Engineering) . Focus areas: acoustic metamaterials , Anderson localization , contactless micromanipulation , and viscoelastic wave propagation . His publications (over 30 in the last decade) demonstrate expertise in ultrasonic imaging, nanophononics, and multiphysics problems involving mechanical, thermal, and fluid interactions. Collaborative projects include DuMAS (Sustainability of Materials) , IMC (Mechanical Engineering) , and MPI (Materials-Procedes-Interactions) initiatives. No formal awards or student advising details are publicly available in the provided data.

Edouard Lesneمشاهده پروفایل

پژوهشگر

• Topological Quantum Materials
• Thin Film Physics
• Antiferromagnetic Spintronics
• +۵ مورد دیگر

Dr. Edouard Lesne serves as Group Leader of the Quantum Materials Thin Films research group within the Department of Topological Quantum Chemistry at the Max Planck Institute for Chemical Physics of Solids in Dresden, Germany. His research program focuses on the growth and characterization of novel thin film materials exhibiting unique topological and magnetic properties. Dr. Lesne's research interests span multiple cutting-edge areas of condensed matter physics: Topological quantum materials and their electronic properties Thin film synthesis using magnetron sputtering and molecular beam epitaxy Magnetic skyrmions and antiskyrmions in Heusler compounds Antiferromagnetic spintronics and topological transport phenomena Weyl semimetals and Berry curvature-driven effects Quantum anomalous Hall effect in thin film systems His recent publications reveal a consistent research trajectory exploring the intersection of topology, magnetism, and electronic transport in thin film materials, particularly Heusler compounds. The work demonstrates how structural engineering of these materials can control topological electronic states and magnetic textures for potential spintronic applications. Dr. Lesne actively supervises multiple graduate students and postdoctoral researchers, including Ayusa Aparupa Biswal, Anusree Vannada Puleri, and Harshita Sen. He collaborates extensively with the Skyrmionics Group, Topological Transport Theory Group, and Nanostructured Quantum Matter Group both within MPI CPfS and internationally. The Quantum Materials Thin Films laboratory maintains advanced thin film growth facilities and characterization equipment, enabling comprehensive research from materials synthesis through device integration and property measurement.

• Human Population Genetics
• Evolutionary Biology
• Genetic Diversity Studies
• +۳ مورد دیگر

Leonardo Arias Alvis is a postdoctoral researcher in the Department of Evolutionary Genetics at the Max Planck Institute for Evolutionary Anthropology, Leipzig. He holds a PhD in Evolutionary Genetics (2018, MPI-EVA) and earlier degrees from Universidad del Valle, Colombia. His research focuses on human population history, genetic diversity in Amazonian indigenous groups, and the impact of sociocultural practices on genetic patterns. He has conducted extensive fieldwork in Colombia’s Amazonia, collecting genetic samples from over 30 ethnolinguistic groups. Education: PhD (2012–2018, MPI-EVA), MSc (2007–2012, Universidad del Valle), BSc (2000–2006, Universidad del Valle). He has taught courses on human population history, molecular anthropology, and applied phylogenetics at the University of Leipzig and MPI-EVA. His grants include a COLCIENCIAS scholarship and a DAAD Research Stay Award. Research interests include genomic analysis of demographic history, fine-scale population structure in Amazonia, and interdisciplinary approaches linking genetics with linguistics/anthropology. His work has revealed extensive intergroup interactions facilitated by river networks and historical migration patterns. Key projects include studies on Northwestern Amazonia’s genetic diversity and the demographic history of Colombia’s Bogotá Altiplano. Scientific awards include the COLCIENCIAS Graduate Scholarship and DAAD Research Stay Award. His work has been published in journals like Science Advances , Molecular Biology and Evolution , and Proceedings of the National Academy of Sciences .

• High-Performance Computing (HPC)
• Computational Fluid Dynamics
• Quantum Computing
• +۳ مورد دیگر

Stefano Markidis is a leading researcher in High-Performance Computing (HPC) and quantum computing. His work focuses on developing advanced simulation frameworks, such as the Neko framework for computational fluid dynamics, and optimizing algorithms for heterogeneous architectures. He collaborates extensively with institutions and researchers globally, contributing to fields like plasma physics, quantum systems, and machine learning applications. His research emphasizes scalability, performance optimization, and the integration of cutting-edge technologies like GPU acceleration and quantum computing. Key research interests include extreme-scale simulations, quantum algorithms, and in-situ data analysis techniques. He has published over 200 articles, with recent work addressing challenges in NISQ systems, tensor network simulations, and CUDA-based performance enhancements. His contributions span theoretical and applied domains, bridging computational methods with real-world applications in fusion energy, materials science, and space exploration. Notable collaborations include projects with Philipp Schlatter, Niclas Jansson, and the NISQ application development community. Markidis also explores hybrid frameworks combining classical and quantum computing, aiming to leverage emerging hardware for scientific breakthroughs.

• High-Performance Computing
• Energy-Efficient Computing
• Parallel and Distributed Systems
• +۵ مورد دیگر

Ravi Reddy Manumachu is an Assistant Professor in the School of Computer Science at University College Dublin (UCD), Ireland. He holds a B.Tech from IIT Madras (1997) and a PhD in Computer Science from UCD (2005), specializing in high-performance heterogeneous computing and energy-efficient systems. His research focuses on optimizing performance and energy efficiency in modern heterogeneous platforms like clouds, grids, and supercomputers through novel models and algorithms. Key contributions include functional performance/energy models, energy-prediction frameworks, and extensions like Heterogeneous MPI and ScaLAPACK for heterogeneous clusters. He has published over 69 articles in top journals/conferences, with recent works addressing data transfer energy measurement, scalable allreduce algorithms (SUARA), and portable programming models (OpenH). Professional roles include Assistant Professor at UCD (2023–present), SEAI Research Fellow (2022–2023), and prior industrial experience at Ansys, Siemens, and IONA Technologies. He has certifications in university teaching, GDPR, and research integrity. Languages include English (fluent), Telugu, and Hindi. Research trends emphasize bi-objective optimization (performance-energy), hardware heterogeneity challenges, and scalable communication algorithms for deep learning. His work addresses energy non-proportionality in CPUs and GPU-CPU interactions, with practical solutions for real-world applications like matrix operations and gene sequencing.

Amalia Skiltonمشاهده پروفایل

استادیار

• Field Linguistics
• Linguistic Anthropology
• Child-Caregiver Interaction
• +۷ مورد دیگر

Amalia Skilton is a Chancellor's Fellow (Assistant Professor) in Linguistics & English Language at the University of Edinburgh's School of Philosophy, Psychology & Language Sciences. She is a field linguist and linguistic anthropologist specializing in Indigenous languages of the Americas, with extensive research experience in the Amazon Basin. Her research focuses on child-caregiver interaction, language acquisition, pragmatics, and documentation of endangered and Indigenous languages . Dr. Skilton has conducted over 26 months of fieldwork with speakers of Ticuna (an isolate language) and Máíhɨ̃ki (Tukanoan) in the Amazon Basin, making significant contributions to linguistic documentation of these endangered languages. Her recent scholarly work demonstrates strong trends in language documentation tools and methodologies , particularly focusing on improving workflows between ELAN and FLEx software for linguistic fieldwork. Her publications bridge theoretical linguistics with practical applications for language preservation, showing particular strength in developing tools that support Indigenous language communities. Chancellor's Fellow (prestigious early-career fellowship) Member of the Language and Society Scotland network Active participant in the linguistic academic community through conferences and collaborations Dr. Skilton has advised on language documentation projects and contributed to knowledge exchange initiatives focused on endangered languages. Her work extends to developing practical tools like Flibl that address specific challenges in linguistic fieldwork documentation. She maintains active research collaborations with institutions including MPI Nijmegen and has presented her work at major linguistic conferences including SSILA. She leads research teams focused on Amazonian language documentation and has established fieldwork protocols that prioritize community engagement and ethical research practices with Indigenous communities.

• High-Performance Computing
• Parallel Programming
• Computer Architecture
• +۳ مورد دیگر

Prof. Dr. rer. nat. Matthias S. Müller is a Universitätsprofessor and Director of the IT Center at RWTH Aachen University. His research focuses on High-Performance Computing (HPC), parallel programming models, correctness verification, energy-aware computing, and tools for distributed systems. He leads the High-Performance Computing group, contributing to advancements in HPC resource management, runtime systems, and sustainable computing practices. Key areas of expertise include MPI and OpenMP correctness checking, static and dynamic analysis techniques, performance optimization for heterogeneous architectures, and energy footprint modeling. Müller has extensively collaborated on projects like MUST (MPI correctness tool), OMPT tools, and frameworks for analyzing hybrid parallel applications. His work bridges theoretical computer science with practical implementation challenges in large-scale computing environments. Notable contributions include developing methods for data race detection in Remote Memory Access (RMA) programs, latency-aware power management models, and educational frameworks for HPC lab courses. His research often emphasizes tool development, runtime systems, and interdisciplinary applications of HPC across engineering domains. Müller's lab is part of RWTH Aachen's IT Center, which provides infrastructure and expertise for computational research. He actively publishes in top-tier conferences and journals, addressing challenges in parallel programming, energy efficiency, and distributed computing systems.

• HIV prevention
• substance use
• infectious diseases
• +۴ مورد دیگر

Angela Bazzi is a Professor at the Herbert Wertheim School of Public Health & Human Longevity Science at UC San Diego. Her research focuses on HIV prevention, substance use, and implementation science, with an emphasis on marginalized populations such as people who use drugs and justice-involved individuals. She holds multiple NIH grants, including roles as Principal Investigator (PI), Co-Investigator, and MPI in studies addressing PrEP implementation, overdose prevention, and healthcare access disparities. Dr. Bazzi’s education includes a PhD in Global Health from UC San Diego, an MPH in Public Health from Johns Hopkins, and a BA in International Relations from USC. Her work spans qualitative and quantitative methods, with a focus on translating research into actionable public health policies and programs. Key areas of expertise include syringe services programs, telemedicine adaptations during pandemics, and structural barriers to healthcare. She has published extensively on overdose prevention strategies, stigma reduction, and the intersection of substance use and HIV risk. Her grants include studies on peer-led interventions for drug checking services, HIV self-testing, and optimizing PrEP delivery in syringe programs. She collaborates with institutions like the Altman Clinical and Translational Research Institute and the CDC’s HEALing Communities Study.

• High Performance Computing
• Performance Engineering
• Performance Modeling
• +۷ مورد دیگر

Gerhard Wellein is a Professor for High Performance Computing at the Department of Computer Science of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He is the head of NHR@FAU (Erlangen National Center for High Performance Computing) and a member of the board of directors of the German NHR-Alliance. Since 2024, he has also served as a Visiting Professor for HPC at the Delft Institute of Applied Mathematics, Delft University of Technology. He holds a PhD in theoretical physics from the University of Bayreuth and has over two decades of experience in HPC education and research. Research Interests: His research focuses on performance modeling and engineering, architecture-specific code optimization, novel parallelization techniques, and the development of hardware-efficient building blocks for sparse linear algebra and stencil solvers. His work bridges computer science, applied mathematics, and computational physics, aiming to maximize efficiency on current and future HPC architectures, including exascale systems. Publication Trends: His recent publications emphasize analytical performance modeling (e.g., Roofline, oscillator models), energy efficiency, GPU optimization, and scalable linear algebra. They reflect a strong focus on both theoretical modeling and practical implementation, with applications in CFD, quantum physics, and molecular dynamics. Scientific Awards: 2011 Informatics Europe Curriculum Best Practices Award (shared with Jan Treibig and Georg Hager) for outstanding teaching contributions in HPC. Grants and Advising: He has led numerous third-party funded projects from the EU, BMBF, and DFG, including EoCoE-III, ESSEX, EXASTEEL, and ProPE. These projects focus on exascale software, performance engineering, fault tolerance, and multiscale simulation. He has mentored multiple researchers and students, contributing to the development of tools such as LIKWID, ClusterCockpit, and GEOPM. Labs and Teams: He leads the HPC research group at FAU and is deeply involved in national and international HPC initiatives. His team collaborates extensively on open-source HPC software and performance tools, fostering a strong community-driven approach to performance engineering.

Brady Thomas Westمشاهده پروفایل

استاد پژوهش

• Survey Methodology
• Applied Statistics
• Public Health
• +۷ مورد دیگر

Brady Thomas West is a Research Professor at the University of Michigan with joint appointments in the Department of Biostatistics at the School of Public Health and the Survey Research Center at the Institute for Social Research. His work bridges survey methodology, applied statistics, and public health research, providing technical expertise globally on research design and statistical analysis. Education: PhD in Survey Methodology, University of Michigan-Ann Arbor, 2011 MA in Applied Statistics, University of Michigan-Ann Arbor, 2002 BS in Statistics, University of Michigan-Ann Arbor, 2001 West's research focuses on critical challenges in survey methodology including measurement error in auxiliary variables and survey paradata, selection bias in non-probability samples, responsive/adaptive survey design, interviewer effects, and multilevel regression models for complex clustered and longitudinal data. His work directly addresses data quality issues in public health and social science research. His publication record (2016-2022) demonstrates sustained contributions to methodological advancements through influential textbooks on linear mixed models and survey data analysis, alongside high-impact journal articles. Key themes include improving survey estimation techniques, developing frameworks for assessing analytic errors, and synthesizing evidence on interviewer effects. His research consistently bridges theoretical innovation with practical applications in aging studies, public health surveillance, and social epidemiology. Scientific Awards: No specific awards mentioned in the provided information. West actively leads and contributes to major funded research initiatives including the Health and Retirement Study (as Associate Director), the Network for Innovative Methods in Longitudinal Aging Studies (as MPI), and the MAPS Center for SUD/HIV research. He also develops educational resources through Coursera specializations in Statistics with Python and Total Data Quality, demonstrating commitment to training the next generation of data scientists. He collaborates extensively through the Survey Research Center and Department of Biostatistics, contributing to teams focused on longitudinal aging studies, public health data infrastructure, and methodological innovation. His leadership in the Health and Retirement Study and NIMLAS network positions him at the forefront of aging research methodology.

Purushotham V. Bangaloreمشاهده پروفایل

استاد

• High-Performance Computing
• Parallel Computing
• Distributed Systems
• +۷ مورد دیگر

Dr. Purushotham V. Bangalore serves as the James R. Cudworth Professor in the Department of Computer Science at the University of Alabama's College of Engineering and holds the position of Associate Director for the Center for Understandable, Performant Exascale Communication Systems (CUP-ECS), a Predictive Science Academic Alliance Program (PSAAP) Focused Investigatory Center. His academic credentials include: B.E. in Computer Science and Engineering from Bangalore University (1991) M.S. in Computer Science from Mississippi State University (1995) Ph.D. in Computational Engineering from Mississippi State University (2003) Dr. Bangalore's research centers on High-Performance Computing (HPC) with emphasis on designing abstraction layers for heterogeneous architectures, predictive performance modeling, and portability. His work extends to fault-tolerant message-passing middleware, exascale storage security, and reliability frameworks. Additional expertise spans data analytics, object-oriented numerical libraries, grid computing environments, and adaptive systems development through three decades of HPC and cloud computing innovation. Analysis of his 2021-2025 publications reveals dominant themes in HPC security architecture, containerization for scientific workloads, and MPI communication advancements. Key application areas include hydrological modeling (NextGen framework), GPU-accelerated communication protocols, and data provenance systems for exascale platforms, reflecting interdisciplinary approaches to computational challenges. Dr. Bangalore has secured approximately $20 million in research funding as PI/Co-PI from NSF, NIH, DoE, and industry partners, resulting in over 90 peer-reviewed publications. His academic service includes editorial roles for IEEE Transactions on Parallel and Distributed Systems, MPI Forum contributions to the MPI-4.0 standard, and organization of DoD-sponsored HPC training workshops. He leads research initiatives through CUP-ECS while maintaining active participation in the MPI Forum. His team develops frameworks for exascale communication systems with focus on security posture analysis, performance portability, and fault tolerance in next-generation computing environments.

Claudia Wegenerمشاهده پروفایل

پژوهشگر

• Language Documentation
• Speech-Gesture Interaction
• Morphosyntax
• +۶ مورد دیگر

Dr. Claudia Wegener is a Researcher at the Department of Linguistics, University of Cologne, specializing in General Linguistics. Her work focuses on language documentation, speech-gesture interaction, and Papuan/Austronesian languages like Savosavo and Gela. She holds a PhD from Radboud University Nijmegen (2008) and has conducted extensive fieldwork in the Solomon Islands and Malaysia. Previous Positions: Research Assistant, University of Cologne (2017–present) Postdoctoral Researcher at MPI for Psycholinguistics, Radboud University (2002–2011) DoBeS Project Leader for Savosavo documentation Research Interests Her research spans: Socio-linguistic aspects of gesture systems Morphosyntactic typology of Papuan languages Lexical semantics and kinship terminology Documentation methodologies for endangered languages Publications Her work includes a landmark grammar of Savosavo (2012), co-edited volumes on language documentation (2011), and influential articles on gesture studies (2022) and motion event encoding (2022). Projects Leading the Savosavo-Gela Documentation Project (DoBeS-funded) Contributions to MPI's Endangered Languages Documentation Archive Collaborations with Australian National University and University of Manchester Her research bridges linguistic theory with applied documentation, emphasizing community-driven preservation strategies.

• Computer Science
• Parallel Computing
• Embedded Systems
• +۳ مورد دیگر

Represa Pérez, César is a faculty member at the University of Burgos , affiliated with the School of Engineering . He has contributed extensively to computer science, parallel computing, and embedded systems through research articles, educational materials, and conference presentations. Education: Doctorate in Parallel & Hybrid Programming (2002). Research Areas: Parallel computing (MPI/CUDA), 3D virtual labs, sensor technology, Android applications, and embedded systems design. Key Collaborations: Co-authored works with José María Cámara Nebreda, Pedro L. Sánchez Ortega, and others on technical education and hardware-software integration. Recent Trends: Focus on smartphone-driven sensors, additive manufacturing monitoring, and educational tools for engineering students.