جست‌وجوی استاد و پژوهشگر

• Optical Communications
• Photonics
• Optical Networks
• +۷ مورد دیگر

Luís Gonçalo Lecoq Vences e Costa Cancela is an Associate Professor at ISCTE-IUL (Higher Institute of Labor and Business Sciences), where he is affiliated with the Department of Information Science and Technology (ISTA). He is also an Integrated Researcher at the Institute of Telecommunications - IUL, contributing to the Optical Communications and Photonics Group. His academic roles include past leadership as Deputy Director of both the Department and the Institute, and active participation in scientific and pedagogical committees. PhD in Information Sciences and Technologies, ISCTE-IUL (2008) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1998) Bachelor’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1993) His research centers on optical communications, particularly the modeling and mitigation of physical layer impairments in optical networks. He investigates crosstalk, coherent multipath interference (MPI), and the performance of differential phase-shift keying (DPSK, DQPSK) systems. His work supports the design and optimization of reconfigurable optical add-drop multiplexers (ROADMs) and multi-band (C+L+S) optical networks, with a strong emphasis on impairment-aware planning and signal quality assessment. His recent publications focus on advanced modeling techniques such as Gaussian noise models and skew-normal distributions to evaluate transmission reach and signal degradation. He explores algorithmic solutions like graph coloring and tabu search for wavelength assignment and analyzes the cost, power, and performance tradeoffs in next-generation ROADM architectures. His work is frequently published in journals like Optical Fiber Technology and presented at major conferences including ICTON and IEEE Photonics Conference. Scientific Awards: No specific awards mentioned in the provided text. He has advised students and contributed to academic management, including serving as ECTS Coordinator. He collaborates extensively with researchers such as J. Pires and J. Rebola. His email is affiliated with ISCTE-IUL. There is no indication of part-time status, retirement, or former staff status.

• Computer Vision
• Vision and Language
• 3D Human Motion Synthesis
• +۵ مورد دیگر

Gül Varol is an Associate Professor (permanent researcher) in the IMAGINE group at École des Ponts ParisTech. She holds an ELLIS Scholar distinction and collaborates with MPI. Previously, she was a postdoc at the University of Oxford’s Visual Geometry Group (VGG). Her PhD from Inria Paris/ENS under Ivan Laptev and Cordelia Schmid earned her ELLIS and AFRIF awards. She earned BS/MS degrees from Boğaziçi University. Research Focus: Her work bridges computer vision and language, emphasizing video understanding, human motion synthesis, and sign language technologies. Notable contributions include the BOBSL dataset (BSL), SLRTP challenge, and methods for sign language translation/contextual retrieval. She also pioneers text-driven 3D motion editing (MotionFix) and video chaptering with LLMs (Chapter-Llama). Awards & Service: Received Google Research Scholar Award (2023), ECCV 2024 Program Chair, IJCV associate editor, and leadership in workshops like NeurIPS’20 Preregistration and CVPR’25 Sign Language. Organized over 15 conferences/workshops since 2017. Labs & Teams: Core member of IMAGINE (LIGM lab), collaborates with MPI and industry (Google/Adobe). Active in outreach initiatives like Women in CV and Girls Who Code.

Yi Juمشاهده پروفایل

پژوهشگر

• In-Situ Techniques
• Performance Modelling
• Dynamic Resource Management
• +۳ مورد دیگر

Yi Ju is a Researcher and Ph.D. candidate at the Technical University of Munich, affiliated with the Department of Informatics (Informatik 10) and the Max Planck Computing and Data Facility (MPCDF) under Prof. Erwin Laure. He works within the Chair of Computer Architecture and Parallel Systems led by Prof. Martin Schulz, focusing on cutting-edge HPC research and teaching advanced computer architecture courses. His primary research areas include In-Situ Techniques for real-time data processing, Performance Modelling of computational workflows, and Dynamic Resource Management in heterogeneous systems. His work bridges theoretical modeling with practical implementation in GPU-accelerated environments, computational fluid dynamics, and quantum-HPC integration, emphasizing efficiency and scalability in exascale computing. Analysis of Yi Ju's publications reveals a consistent trajectory toward optimizing in-situ processing pipelines across diverse architectures. His research demonstrates increasing sophistication in resource allocation strategies, with recent work exploring MPI-session frameworks and GPU-specific optimizations. Emerging trends show growing emphasis on quantum computing integration and precision-aware algorithms for scientific simulations. Yi Ju actively contributes to major HPC initiatives: SEANERGYS (EuroHPC) for energy-efficient computing PlasmaPEPS for plasma physics simulations OpenCUBE for big data analytics DaREXA-F for exascale applications ScalNEXT for scalable computing frameworks He collaborates extensively with MPCDF on performance modeling and resource management solutions for large-scale scientific simulations, while also mentoring students through TUM's advanced computer architecture curriculum.

Cynthia Sharmaمشاهده پروفایل

استاد

• RNA-based regulation in bacterial pathogens
• Identification and characterization of small proteins in bacteria
• Prokaryotic CRISPR-Cas systems
• +۷ مورد دیگر

Prof. Dr. Cynthia Sharma is a Full Professor and Chair of Molecular Infection Biology II at the Institute of Molecular Infection Biology (IMIB), University of Würzburg. Since 2018, she has served as Speaker of the Research Center for Infectious Diseases (ZINF) at the University of Würzburg. Her research group focuses on molecular mechanisms of bacterial pathogenesis, particularly in Helicobacter pylori and Campylobacter jejuni . Dr. Sharma's educational background includes doctoral research at the Max Planck Institute for Infection Biology (MPI-IB) from September 2004 to June 2009, followed by postdoctoral work at the same institute from July 2009 to May 2010. She also conducted research at the National Institutes of Health in Bethesda, MD from August to December 2010. Her research program investigates RNA-based regulation in bacterial pathogens, with particular emphasis on small regulatory RNAs (sRNAs) and RNA-binding proteins (RBPs) that control stress response and virulence. Her lab employs diverse deep sequencing approaches for global transcriptome analyses and studies of RNA-protein complexes, as well as translatome analyses to identify small proteins. A distinctive aspect of her work involves using three-dimensional (3D) infection models based on tissue engineering to investigate bacterial pathogenesis in more physiologically relevant contexts. Analysis of Dr. Sharma's recent publications reveals a strong focus on post-transcriptional gene regulation in bacterial pathogens. Her work spans multiple dimensions including the characterization of small regulatory RNAs, investigation of CRISPR-Cas systems, and development of innovative 3D infection models. A recurring theme across her publications is the connection between RNA-based regulatory mechanisms and bacterial virulence, particularly in Helicobacter pylori and Campylobacter jejuni . Her research has significant implications for understanding antibiotic resistance mechanisms and developing novel antimicrobial strategies. Dr. Sharma leads a vibrant research group comprising multiple postdoctoral researchers, PhD students, and technical staff. Her laboratory, located in Building D15, Room 01.019 at the University of Würzburg, maintains a collaborative environment focused on cutting-edge research in molecular infection biology. The group benefits from being part of the Institute of Molecular Infection Biology and the Research Center for Infectious Diseases (ZINF), providing access to extensive resources and interdisciplinary collaborations.

Gael Thomasمشاهده پروفایل

استاد

• Distributed Systems
• Operating Systems
• Virtualization
• +۴ مورد دیگر

Prof. Gael Thomas is a Professor at Telecom SudParis, focusing on distributed systems, operating systems, and high-performance computing. His work emphasizes virtualization, concurrency control, and secure execution environments. He has contributed extensively to projects like VMKit, I-JVM, and J-NVM, addressing challenges in garbage collection, system scalability, and trusted computing. His research interests include: Virtualization techniques for improved system isolation Optimizing garbage collectors for multicore architectures Trusted execution environments using SGX and HTM Performance analysis of MPI/OpenMP applications Notable contributions: Developed PALLAS trace format for HPC analysis (2025) Created NVCache for NVMM-based I/O optimization (2021) Pioneered secure code partitioning techniques (2023-2024) His work has been presented at top conferences including EuroSys, Middleware, and DSN.

Maik Stilleمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Computed Tomography
• Image Reconstruction
• +۳ مورد دیگر

Dr. Maik Stille is a Research Associate at the Fraunhofer Research Institution for Individualized and Cell-Based Medical Technology (IMTE) in Lübeck, Germany, with strong affiliations to the University of Lübeck's Institute of Medical Engineering. His work focuses on advanced medical imaging techniques, particularly in computed tomography and artifact reduction methodologies. His research interests center on Computed Tomography , Metal Artifact Reduction , Image Registration , and Neuroimaging . Dr. Stille has developed innovative approaches for metal artifact correction using deep learning techniques and non-local prior image integration, significantly advancing the field of medical image reconstruction. His work bridges clinical applications with computational methodologies, particularly in addressing challenges posed by metal implants in CT imaging. Analysis of his recent publications reveals a strong trend toward deep learning applications in medical imaging, particularly using generative adversarial networks for metal artifact reduction. His research spans both clinical CT applications and industrial computed tomography, demonstrating versatility across medical and engineering domains. Key focus areas include dual-energy CT calibration, virtual monoenergetic imaging enhancement, and magnetic particle imaging techniques. Dr. Stille collaborates extensively with researchers at the University of Lübeck and participates in the Graduate School for Computing in Medicine and Life Sciences. His work has significant implications for radiation therapy planning, diagnostic imaging quality improvement, and industrial non-destructive testing applications.

• Algorithms
• Theory & Logic
• Programming Languages & Verification
• +۴ مورد دیگر

David Swasey is a researcher at the Max Planck Institute for Software Systems (MPI-SWS), focusing on formal methods, programming languages, and system security. His work spans theoretical foundations of verification, secure compilation, and language design, with contributions to frameworks like Iris for concurrent reasoning and formal modeling of mobile systems. Research interests include algorithms, logic, cyber-physical systems, and distributed networks. His publications address challenges in robust verification, object-capability patterns, and enhancing security in systems like Android. He has explored modular compilation for Standard ML and cross-domain security protocols. Publications highlight a trajectory from foundational type system research to applied security solutions, with an emphasis on formal methods bridging theory and practice. No awards or grants are explicitly mentioned in the provided text.

Candace Fitchمشاهده پروفایل

استاد

• Hospitality Management
• Event Management
• Legal/Risk Management in Hospitality
• +۳ مورد دیگر

Candace Fitch is the Feiertag Professor of Practice in the Howard Feiertag Department of Hospitality & Tourism Management at Virginia Tech's Pamplin College of Business. Her expertise spans event management, legal/risk issues in hospitality, and food and beverage operations. She holds a JD from New England Law (2004), a BS in Hotel Administration from Cornell University (1991), and an AOS in Culinary Arts from Johnson & Wales University (1988). Dr. Fitch has extensive industry experience, including roles as an attorney specializing in hospitality law, director of legal services at ESL Management (Washington, D.C.), and leadership in hospitality operations. She teaches courses such as Event Management, Human Resource Management in Hospitality, and Introduction to Hospitality and Tourism Management. Her awards include the Virginia Tech Certificate in Teaching Excellence (2018-2019) and Pamplin College Teacher of the Year (2018-2019). She secured a $10,000 Pathways Grant to develop Virginia Tech's Event & Experience minor. Professional engagement includes speaking at conferences like Virginia MPI on cybersecurity for event professionals and active membership in Meeting Professionals International and legal associations.

• High Performance Computing
• Network Simulation
• Parallel Discrete Event Simulation
• +۵ مورد دیگر

Kevin A. Brown is an active researcher in the field of High Performance Computing with a strong publication record spanning over a decade. His work primarily focuses on HPC network simulation, performance analysis, and optimization of parallel computing systems. He has collaborated extensively with researchers including Christopher D. Carothers, Robert B. Ross, and Satoshi Matsuoka across multiple institutions. Dr. Brown's research interests center around network simulation techniques, particularly Parallel Discrete Event Simulation (PDES) for modeling HPC networks. His recent work explores multi-fidelity network simulation frameworks, surrogate modeling for performance prediction, and machine learning applications for network traffic forecasting. He has made significant contributions to understanding network congestion, quality-of-service mechanisms, and the interference between different types of traffic in HPC environments. His publication record shows consistent output with 19 publications documented between 2014 and 2025, with increased productivity in recent years. The 2023-2025 period shows particularly strong activity with 12 publications, indicating ongoing research momentum. His work appears primarily in top HPC conferences including SIGSIM-PADS, CLUSTER, and ICPP. Notable recent contributions include the development of MFNetSim for multi-traffic modeling of Dragonfly systems, research on zombie packet techniques for hybrid PDES simulation, and work on steady-state fluid models for HPC networks. His research demonstrates a clear trajectory from fundamental network performance analysis toward more sophisticated simulation frameworks incorporating machine learning techniques.

• High Performance Computing
• Energy Efficiency
• Parallel Computing
• +۶ مورد دیگر

Laura Carrington is a researcher at the University of California, San Diego, specializing in High Performance Computing (HPC) with a focus on energy efficiency, memory management, and performance optimization. She has contributed to the development of tools like PEBIL for binary instrumentation, ADAMANT for data movement analysis, and frameworks for power management in large-scale systems. Her research spans multiple domains including ARM processor evaluation, Xeon Phi vectorization, and communication reduction in graph algorithms. Key collaborations include work with Michael Laurenzano, Allan Snavely, Ananta Tiwari, and Pietro Cicotti. Laura's work addresses critical challenges in HPC such as DVFS configuration optimization, workload colocation, and energy-aware algorithm design. While no explicit academic rank is stated, her extensive publication record across 2002-2019 in top venues like SC, IPDPS, and IJHPCA establishes her as a significant contributor to HPC research. Her work has influenced practices in system-level power management, scientific application characterization, and energy-efficient computing for both CPU/DRAM domains and emerging memory technologies.

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

Stephen L. Olivier is a prominent researcher in high-performance computing at Sandia National Laboratories, with a distinguished publication record spanning nearly two decades. His work focuses on parallel programming models, performance optimization, and energy-efficient computing across diverse architectures including CPUs, GPUs, and FPGAs. Olivier has made significant contributions to OpenMP standards and Kokkos programming model development, collaborating extensively with Department of Energy national laboratories and international research teams. Olivier's research interests center on task parallelism, memory management in distributed systems, and performance portability across heterogeneous architectures. His work addresses critical challenges in exascale computing, including efficient task scheduling for unbalanced workloads, power management in large-scale systems, and optimization of communication patterns. More recently, he has expanded his research into medical imaging applications, applying high-performance computing techniques to tuberculosis detection in rural healthcare settings. Analysis of Olivier's recent publications (2021-2024) reveals a strong focus on practical performance engineering for next-generation computing platforms. His work spans traditional HPC domains while increasingly incorporating data science applications and medical imaging analysis. The research demonstrates consistent innovation in parallel programming models, particularly around OpenMP tasking and Kokkos abstractions, with growing emphasis on energy efficiency and hardware-specific optimizations for emerging architectures. Olivier has maintained a prolific research output with numerous publications in top-tier conferences including SC, IPDPS, and IWOMP. His collaborative work extends across multiple Department of Energy laboratories and international institutions, reflecting the interdisciplinary nature of modern high-performance computing research. While specific grant information isn't detailed in the publication record, his work on DOE systems suggests significant involvement in national supercomputing initiatives.

Gurpur Prabhuمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Systems and Networking
• +۶ مورد دیگر

Gurpur Prabhu is an Associate Professor in the Department of Computer Science at Iowa State University since 1983. He holds a Ph.D. in Computer Science from Washington State University, a Master's from Indian Institute of Technology Kanpur, and a Bachelor's in Electrical Engineering from IIT Madras. Education: Ph.D., Computer Science, Washington State University (1983) M.S., Computer Science, Indian Institute of Technology Kanpur B.E., Electrical Engineering, Indian Institute of Technology Madras His research focuses on software engineering, parallel/distributed computing, Grid computing, and semantic-based data integration. His work addresses challenges in enterprise architecture, information fusion for scientific discovery, and applications in E-commerce, E-governance, and counter-terrorism analytics. Recent projects include optimizing parallel programming models (SHMEM/MPI) and leveraging deep learning for nuclear theory extrapolation. Dr. Prabhu has published extensively in conferences like HICSS and ISIC, and his work bridges computer science with interdisciplinary domains like physics and governance. He has advised multiple doctoral and master's students but specific advisee names are not listed. His teaching spans object-oriented programming, operating systems, and distributed systems.

• Climate Modeling
• Decadal Climate Prediction
• Seasonal Climate Prediction
• +۷ مورد دیگر

Holger Pohlmann is a Research Scientist at the Max Planck Institute for Meteorology in Hamburg, Germany, affiliated with the Department Climate Variability and the Earth System Modelling and Predictions group. His work focuses on advancing seasonal and decadal climate prediction systems using state-of-the-art Earth system models such as ICON-ESM and MPI-ESM. Research Interests: His research centers on improving climate predictability through enhanced model initialization, data assimilation, and the analysis of external forcings (e.g., greenhouse gases, aerosols, solar variability). He investigates the skill of prediction systems by conducting retrospective analyses and large ensemble simulations, particularly within EU-funded projects like ASPECT and national initiatives like MiKlip. Publication Trends: His recent publications (2020–2025) reflect a strong focus on Earth system model development (ICON-ESM), initialization techniques, decadal prediction skill, and the impacts of solar and volcanic forcing. The work spans climate dynamics, model intercomparison, and operational climate services, with frequent contributions to high-impact journals and international climate assessments. Scientific Projects & Affiliations: Current: ASPECT, Coming Decade, EPESC Former: MiKlip, SPECS, COMBINE, THOR, ENSEMBLES Scientific Networks: GC NTCP, DCVP, QBOi Guest Scientist at the University of Hamburg (since 2019) Advising and Funding: While no formal students are listed, Pohlmann collaborates extensively with early-career researchers and contributes to large collaborative projects funded by the EU, BMBF, and other agencies. His work is supported by substantial research grants enabling high-performance computing and model development. Laboratories and Teams: He is a key member of the Earth System Modelling and Predictions group at MPI-M, contributing to the development of the ICON modeling framework and participating in international modeling consortia. His team employs advanced data assimilation techniques, including the Ensemble Kalman Filter, to initialize climate predictions.

Katharina Sixمشاهده پروفایل

پژوهشگر

• Marine Biogeochemistry
• Physical Oceanography
• Climate Modeling
• +۷ مورد دیگر

Katharina Six is a Research Scientist in the Department of Climate Variability, specifically within the Ocean Physics group at the Max Planck Institute for Meteorology (MPI-M). She has been working part-time at the institute since August 2002. Her work focuses on marine biogeochemical modeling, particularly the ocean's role in carbon and sulfur cycling and their interactions with climate change. PhD in Physical Oceanography, University of Hamburg (1993) Diploma in Physical Oceanography, University of Hamburg (1989) Postdoctoral Researcher: MPI for Meteorology (1993–1996), University of Hamburg (1996–1997) Her research interests span marine biogeochemistry, physical oceanography, and Earth system modeling. She investigates the role of marine biology in carbon storage, the climate impacts of changing dimethylsulfide (DMS) emissions due to ocean acidification, and paleo-biogeochemical conditions in the Mediterranean Sea during the last deglaciation using the MPI-ESM and regional models. Her work integrates modeling with sediment core data to understand past climate-biogeochemistry interactions. Her recent publications reflect a strong focus on climate-biogeochemical feedbacks, including DMS-climate interactions, carbon isotope modeling, ocean acidification impacts, and paleo-simulations. She contributes extensively to the development and application of the MPI Earth System Model (MPI-ESM) and its ocean biogeochemistry component (HAMOCC). Her work has been published in leading journals such as Nature Climate Change , Biogeosciences , and Global Biogeochemical Cycles . Among her scientific contributions are studies on the sea-ice carbon pump, nitrogen fixation modeling, and the amplification of global warming due to reduced sulfur emissions. While no formal awards are listed, her sustained publication record in high-impact journals and long-standing role in Earth system model development signify major contributions to the field. Katharina Six has collaborated with numerous scientists across institutions and has contributed to large modeling intercomparisons such as CMIP5. She has not taken formal supervisory roles but has mentored through collaborative research. Her work continues to advance understanding of ocean biogeochemical processes and their critical role in the Earth’s climate system.

• Pharmaceutical Policy
• Health Services Research
• Pharmacoepidemiology
• +۶ مورد دیگر

Inmaculada Hernandez Delso is a tenured Professor at the University of California, San Diego (UCSD) in the School of Pharmacy and Pharmaceutical Sciences. Her research program is situated at the intersection of health services research, pharmaceutical policy, and pharmacoepidemiology. She is a nationally recognized scholar who has made significant contributions to understanding drug pricing, rebates, and access, particularly within Medicare. Dr. Hernandez's research focuses on the complex dynamics of pharmaceutical pricing, transparency in the drug supply chain, and the impact of policy on patient access and outcomes. Her work has been pivotal in quantifying the disconnect between list prices and net prices due to confidential rebates, and she has developed innovative methods to track cash flow in the pharmaceutical market. Her research areas include drug pricing, Medicare, anticoagulation, stroke prevention, claims data analysis, and health equity. Her extensive body of work, with numerous publications in high-impact journals like JAMA and Health Affairs, reveals a strong trend of analyzing pharmaceutical spending, policy interventions (especially Medicare-related), and health disparities. Her recent articles frequently examine the implications of the Medicare Drug Price Negotiation Program, drug shortages, and the socioeconomic and racial factors influencing access to medications and care. National Academy of Medicine Fellow in Pharmacy (2022-2024) Forbes 30 Under 30 (2018) Academy Health Alice S. Hersh Emerging Leader Award (2021) Seema S. Sonnad Emerging Leader in Managed Care Research Award (2019) American College of Cardiology Fellow (2018) American Heart Association Fellow (2019) Dr. Hernandez is a principal investigator (PI) or multi-PI (MPI) on several significant research grants from organizations including The Commonwealth Fund, the Skaggs Family Foundation, the West Health Policy Center, and the National Institutes of Health (NIH). Her grants focus on integrating net prices with clinical effectiveness, the health impacts of extreme heat and wildfire smoke, pharmaceutical discounting dynamics, and the effects of the pandemic on atrial fibrillation care. She has testified before the Senate Finance Committee, and her research has been cited in key policy reports from ASPE, GAO, MedPAC, CDC, and FDA. She is currently on leave from her academic appointment. Her work is highly collaborative, often involving geographic information systems (GIS) analyses of health care access and spatial disparities. She has led and participated in numerous studies on patient adherence, treatment patterns, and the real-world effectiveness and safety of medications, particularly for cardiovascular conditions like atrial fibrillation.