جست‌وجوی استاد و پژوهشگر

Sotirios Xydisمشاهده پروفایل

استادیار

• Hardware/Software Co-design
• High Level Synthesis
• Hardware Accelerators
• +۷ مورد دیگر

Sotirios Xydis is an Assistant Professor in the Division of Computer Science at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), with prior faculty appointment at Harokopion University of Athens (2020-2023). He maintains ongoing collaboration with the Institute of Communication and Computer Systems (ICCS) since 2014 and previously served as an engineer at HEDNO (2015-2018) and postdoctoral researcher at Politecnico di Milano (2011-2013). His academic credentials include: BSc in Electrical and Computer Engineering, NTUA (2005) MSc in Techno-Economic Systems, NTUA (2011) PhD in Electrical and Computer Engineering, NTUA (2011) Dr. Xydis specializes in hardware/software co-design , energy-efficient hardware acceleration , and memory management for embedded and cloud-edge systems. His research bridges low-power circuit design , heterogeneous architecture optimization , and resource management frameworks , with particular emphasis on AI workloads and serverless infrastructures. Current projects target Edge AI accelerators (CONVOLVE), disaggregated memory systems, and LLM inference optimization through hardware-aware algorithms. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Energy-efficient hardware accelerators for Edge AI using approximate computing techniques, (2) Memory/resource management innovations for disaggregated serverless environments, and (3) GPU/FPGA optimization for LLM inference through dynamic frequency scaling and predictive throttling. These works consistently address the power-performance tradeoffs in heterogeneous computing systems. His scientific recognition includes: Best Paper Award, IEEE/NASA/ESA AHS (2007) Best Paper Award, ACM PARMA (2013) Best Paper Award, ACM Computing Frontiers (2020) Hipeac Award at DAC (2019, 2020) Dr. Xydis has secured over 15 European/national research grants as Principal Investigator and Technical Coordinator, focusing on hardware acceleration frameworks and energy-efficient computing. His advising encompasses graduate research in hardware design and optimization, though specific student names aren't publicly listed. Current projects include CONVOLVE for Edge AI and CollectiveHLS for collaborative hardware synthesis. He is a core member of NTUA's Microelectronics Laboratory (Microlab) and collaborates with ICCS on hardware acceleration projects. His team develops frameworks like CollectiveHLS and throttLL'eM, with active participation in DATE, DAC, and ISCA conference communities.

• Applied Microeconomics
• Household Finance
• Risk Preferences
• +۵ مورد دیگر

Hans-Martin von Gaudecker is a Professor of Applied Microeconomics at the University of Bonn's Department of Economics. He holds multiple significant academic positions including Cluster Faculty Member at ECONtribute, Principal Investigator of the Collaborative Research Center TR/224, Speaker of the Transdisciplinary Research Area 'Individuals, Institutions and Societies', and research fellow at the IZA Institute of Labor Economics, Reinhard Selten Institute, CESifo, and Netspar. His research focuses on modeling life-cycle behavior of households and informing public policy to reduce inequality. His work spans household finance and preferences, labor economics, health economics, and the economic impacts of the COVID-19 pandemic. He combines innovative data with economic models and up-to-date econometric methods to address questions about risk management over life cycles, labor market consequences of ill health, disability scheme design, and retirement decisions. His publication record shows a strong focus on empirical microeconomics with recent work increasingly addressing pandemic-related economic issues. His research employs sophisticated econometric techniques and emphasizes reproducibility, with many publications including replication code. His work appears in leading journals including Journal of Finance, American Economic Review, Journal of Labor Economics, and Journal of Econometrics. As an educator, Professor von Gaudecker teaches Applied Microeconomics for PhD and MSc students, Applied Data Analytics for BSc students, and Effective Programming Practices for Economists. His teaching emphasizes computational methods, reproducible research, and the integration of economic theory with data analysis skills. He has developed templates for reproducible research projects that are widely used by students and collaborators. He leads the C01 project within the Collaborative Research Center TR/224 and has been instrumental in developing software tools to enhance research reproducibility. His work with CentERdata on Dutch LISS panel data during the pandemic demonstrates his commitment to timely, policy-relevant research. His interdisciplinary approach bridges economics, public health, and computational science to address complex societal challenges.

Renato Bruniمشاهده پروفایل

دانشیار

• Optimization
• Machine Learning
• Bioinformatics
• +۱۰ مورد دیگر

Renato Bruni is Associate Professor at the Department of Computer, Control and Management Engineering of Sapienza University of Rome , Italy. He teaches in the Management Engineering and Bioinformatics study programs. His research focuses on Optimization, Machine Learning, and Bioinformatics , with applications spanning spacecraft control, biomedical engineering, and financial portfolio management. Research Interests His scientific activity is centered on: Combinatorial Optimization Data Mining and Classification Derivative-free Optimization Computational Molecular Biology Information Reconstruction Recent Research Trends The analysis of his publications reveals a strong focus on: Power distribution network optimization Spacecraft attitude control via mathematical programming Higher education data quality and institutional heterogeneity Robust classification with limited training data Stochastic dominance in portfolio selection Physician scheduling optimization Grants and Collaborations Principal Investigator in Sapienza-funded projects (2013–2019) Member of EU H2020 RISIS 2 project (2019–2022) Collaboration with international experts: Peter L. Hammer (Rutgers), Fabio Tardella (Sapienza), and Istat (Italian National Statistical Institute)

• Photonics
• Nonlinear Optics
• Computational Physics
• +۵ مورد دیگر

Professor Christopher Poulton serves as Discipline Leader for Physics at the School of Mathematical and Physical Sciences of the University of Technology Sydney (UTS). With a PhD from the University of Sydney (2000) and postdoctoral experience at institutions including the Karlsruhe Institute of Technology and Max Planck Institute for the Science of Light, he specializes in numerical and analytical methods in photonics, particularly focusing on electromagnetic/elastic wave propagation and light-sound interactions via Brillouin scattering. PhD, University of Sydney (2000) BSc (Hons), University of Sydney (1996) His research explores Brillouin scattering for applications in optical data storage, ultrafast acoustic dynamics, and nonlinear waveguide phenomena. He develops analytical models for photonic crystal fibers, metasurfaces, and optoacoustic devices, with recent work emphasizing machine learning integration for Brillouin microscopy data analysis and on-chip signal processing. Recent publications highlight trends in Brillouin-based memory systems , metasurface design , and nonlinear optoacoustic interactions . Methodologies span principal component analysis for biological imaging to quasi-soliton pulse dynamics in photonic waveguides, often combining numerical simulations with experimental validation. Professor Poulton actively supervises honors projects and teaches advanced mathematical topics including Complex Analysis , Vector Calculus , and Numerical Methods . He has contributed to On-chip photonics: principles, technology and applications as a book chapter author. His laboratory collaborates on projects like optoacoustic isolation and 3D hydrogel engineering under grants including ARC Discovery Projects DP200101893 and DP160101691 . Current infrastructure includes chalcogenide waveguide fabrication and Brillouin response measurement systems.

Ray Hylockمشاهده پروفایل

دانشیار

• Health Informatics
• Database Systems
• Data Warehousing
• +۸ مورد دیگر

Dr. Ray Hylock is an Associate Professor and Chair of the Department of Health Services and Information Management at East Carolina University's College of Allied Health Sciences. He holds a PhD in Informatics with a Health Informatics concentration from the University of Iowa (2013), an MS in Informatics with the same concentration (2012), and a BS in High Technology Management from California State University, San Marcos (2007). Education PhD in Informatics (Health Informatics concentration), University of Iowa, 2013 MS in Informatics (Health Informatics concentration), University of Iowa, 2012 BS in High Technology Management, California State University, San Marcos, 2007 Roles Department Chair, Health Services and Information Management, East Carolina University (2021–Present) Associate Professor, Health Services and Information Management, East Carolina University (2019–Present) Program Director, Health Care Administration Graduate Certificate, East Carolina University (2016–2018) Assistant Professor, Health Services and Information Management, East Carolina University (2013–2019) His research focuses on theoretical and computational advancements in healthcare databases, data warehouses, federated systems, advanced data structures, optimization, and bioinformatics. His work includes a new storage paradigm for heterogeneous data, federated query optimization, optimal off-target detection in bioinformatics, and rewriting Java's JDK/JVM to improve memory performance in high-performance computing (HPC) environments. Scientific awards include the 2018 East Carolina University Scholar-Teacher Award and the 2016 Dean’s Award for Outstanding Performance in Teaching from the College of Allied Health Sciences.

• Computational Chemistry
• Molecular Modeling
• Plasmonics
• +۵ مورد دیگر

Silvio Pipolo is a Lecturer (Maître de conférences) at the University of Lille, affiliated with the Unité de Catalyse et Chimie du Solide (UCCS - UMR CNRS 8181). He is part of the Heterogeneous Catalysis Department, specifically working within the Modeling and Spectroscopy (MODSPEC) research group. His office is located at the Scientific City campus, Building C3 in Villeneuve d'Ascq, France. Dr. Pipolo's research focuses on computational chemistry and molecular modeling, with particular expertise in: Development and application of theoretical models for molecular nanoplasmonics Real-time dynamics of plasmonic resonances in nanoparticles Computational frameworks for light-driven phenomena and quantum dynamics Solvent polarization effects in electronic dynamics Catalysis and molecular structure analysis His publication record shows a strong focus on interdisciplinary research at the intersection of chemistry, physics, and computational science. Over the past decade, Dr. Pipolo has published numerous papers in high-impact journals including The Journal of Chemical Physics, Journal of Colloid and Interface Science, and Nature Communications. His research demonstrates consistent engagement with cutting-edge computational methodologies applied to diverse systems ranging from plasmonic nanoparticles to biomolecular aggregates and catalytic materials. Dr. Pipolo is actively involved in collaborative research projects, as evidenced by his participation in large multi-author publications such as the Octopus computational framework. His work often involves international collaborations across European institutions.

Sriram Krishnamoorthyمشاهده پروفایل

استاد پژوهشی

• Parallel Programming Models
• Fault Tolerance
• High-Performance Computing
• +۶ مورد دیگر

Sriram Krishnamoorthy is a Research Professor at Washington State University's School of Electrical Engineering & Computer Science and a research scientist at Pacific Northwest National Laboratory (PNNL), where he serves as the System Software and Applications Team Leader in PNNL's High Performance Computing group. Dr. Krishnamoorthy earned his B.E. from the College of Engineering, Guindy in Chennai, India, and his M.S. and Ph.D. degrees from The Ohio State University. He is a senior member of the Institute of Electrical and Electronics Engineers. His research focuses on parallel programming models, fault tolerance, and compile-time/runtime optimizations for high-performance computing. He has made significant contributions in areas including: Fault tolerance techniques that minimize rollback during failures Dynamic load balancing for irregular parallel applications Compiler and runtime optimizations for HPC applications GPU programming and heterogeneous computing Quantum chemistry simulations and quantum computing Dr. Krishnamoorthy's publications span computational science, high-performance computing, and quantum chemistry. His recent work shows strong trends toward quantum computing applications, fault tolerance in large-scale systems, and optimization of computational chemistry methods. He has developed techniques for density matrix quantum circuit simulation, floating-point error analysis, and scalable execution of coupled-cluster models. His scientific achievements have been recognized with several prestigious awards: Best Paper Award at International Conference on High Performance Computing (HiPC'03) Best Paper Award at International Parallel and Distributed Processing Symposium (IPDPS'04) U.S. Department of Energy Early Career award (2013) PNNL's Ronald L. Brodzinski Award for Early Career Exceptional Achievement (2013) The Ohio State University's Outstanding Researcher award (2008) Dr. Krishnamoorthy has advised numerous graduate students and collaborated extensively with researchers across computational science domains. His work on the NWChem project demonstrates significant grant funding and large-scale collaborative research efforts in computational chemistry. He leads research efforts in PNNL's High Performance Computing group, focusing on system software and applications development for next-generation supercomputing platforms.

Zhenman Fangمشاهده پروفایل

دانشیار

• Hardware Acceleration
• Computer Architecture
• Big Data Computing
• +۷ مورد دیگر

Dr. Zhenman Fang is an Associate Professor in the School of Engineering Science (Computer Engineering Option) and Associate Member in the School of Computing Science at Simon Fraser University, Canada. He founded and directs the HiAccel Lab, focusing on accelerator-rich architectures. His PhD (2014) is from Fudan University, China, with 15 months spent at the University of Minnesota. Prior to SFU, he was a Staff Software Engineer at Xilinx (2017-2019) and a postdoc at UCLA (2014-2017). His research spans: Hardware acceleration for ML, big data, genomics, and HPC FPGA-based customizable computing and near-data processing Compiler/runtime systems for heterogeneous platforms Performance/reliability optimization of accelerator-rich systems His recent publications (2024-2025) focus on FPGA acceleration for machine learning (e.g., on-device training, quantization), computational chemistry, image/video compression, database systems, and reconfigurable computing, demonstrating cross-domain applications of specialized hardware. Awards & Honors: Best Paper Awards: FPL 2024, MEMSYS 2017, TCAD 2019 Best Paper Nominations: ICCAD 2025, FCCM 2025, HPCA 2017, ISPASS 2018 SFU Research Excellence Horizon Award (2025) NSERC Alliance, CFI JELF, and Xilinx University Awards He advises 20+ PhD/Master's students in HiAccel Lab, focusing on accelerator design. Major grants include NSERC Alliance (2020) and CFI JELF (2019). The lab operates a 10-node cluster with FPGA/GPU infrastructure.

Noemi Schmittمشاهده پروفایل

پژوهشگر

• Agent-Based Modeling
• Financial Market Dynamics
• Nonlinear Dynamics
• +۳ مورد دیگر

Dr. Noemi Schmitt is a Researcher at the Chair of Economics, especially Economic Policy within the Faculty of Social and Economic Sciences at Otto-Friedrich University of Bamberg. Her research focuses on agent-based modeling , nonlinear financial market dynamics , and heterogeneous agent behavior . She has published extensively on topics such as market instabilities , speculative bubbles , and central bank interventions , with recent work analyzing piecewise-linear discontinuous maps to model financial and housing market behaviors. Her publications span journals like International Review of Financial Analysis , Macroeconomic Dynamics , and Nonlinear Dynamics .

Bruce Kayمشاهده پروفایل

پژوهشگر

• Surface Science
• Chemical Physics
• Molecular Beam Scattering
• +۷ مورد دیگر

Bruce Kay is a Lab Fellow and Physicist in the Chemical Physics & Analysis division at Pacific Northwest National Laboratory (PNNL). He also serves as a Visiting Professor of Chemical Physics at the University of Liverpool, UK since 2006, maintaining an active international research collaboration. Education: B.S. in Chemistry with Mathematics minor, University of Illinois, Chicago (1976) with Honors and Highest Distinction Ph.D. in Chemical Physics, University of Colorado, Boulder (1982) Research Interests: Dr. Kay's research focuses on applying molecular-beam surface scattering techniques to investigate chemical kinetics and reaction dynamics on ice surfaces and oxide materials. His work examines complex physiochemical processes in aqueous solutions, super-cooled liquids, astrophysical environments, and at aqueous-mineral interfaces. Using thermal desorption and surface spectroscopic techniques, he probes hydrophobic and hydrophilic interactions between water and various materials to understand interphase transport and phase separation. His molecular-level studies directly support Department of Energy programs in environmental restoration, waste processing, and contaminant fate and transport. Dr. Kay's discovery of deposition angle dependent porosity in amorphous solid water films led to his development of nanoporous thin MgO films with high porosity (~90%) and surface area (~1000 m 2 /g), creating materials with enhanced chemically active binding sites for potential applications as sensors and heterogeneous catalysts. Publication Trends: Dr. Kay's recent publications (2015-2018) demonstrate continued leadership in surface science, with emphasis on molecular interactions with ice surfaces, graphene, and metal oxides like TiO 2 . His work combines experimental surface science techniques with theoretical analysis to understand adsorption, desorption, and crystallization processes at the molecular level. Key themes include supercooled liquid behavior, nanoscale water films, catalytic processes on oxide surfaces, and the development of novel instrumentation for studying these phenomena under ultrahigh vacuum conditions. Scientific Awards: Fellow of the American Chemical Society (2010) Fellow of the American Association for the Advancement of Science (2005) Fellow of the American Vacuum Society (2000) Fellow of the American Physical Society (2000) British Vacuum Council John Yarwood Medal (1991) ACS Undergraduate Award in Analytical Chemistry (1976) Professional Service: Dr. Kay has served on multiple editorial boards including the Journal of Chemical Physics (2009-2011) and Journal of Physical Chemistry (2005-2007). He held leadership positions in the American Chemical Society Physical Chemistry Division (2003-2008), co-chaired the Dynamics and Kinetics working group at the DOE-BES Workshop on Nanoscience and Catalysis (2002), and served on the International Advisory Board for Academica Sinica Institute for Atomic and Molecular Science, Taiwan (2004-2007). Laboratory Work: Dr. Kay's laboratory at PNNL develops and applies advanced molecular beam scattering instrumentation to study fundamental surface phenomena. His team's work on nanoporous MgO films represents a significant technological advancement with potential applications in catalysis and sensing. His research continues to investigate the molecular mechanisms governing surface interactions, with implications for environmental science, energy technologies, and materials design.

• Hydrogeology
• Groundwater Modeling
• Geological Modeling
• +۲ مورد دیگر

Trine Enemark serves as a Postdoc and Guest Researcher in the Department of Geosciences and Natural Resource Management at the University of Copenhagen, specializing in quantitative hydrogeology and groundwater systems analysis. Her research centers on groundwater modeling methodologies, with emphasis on hydrostratigraphic uncertainty quantification, geological model strategies, and machine learning applications for drawdown prediction. She addresses critical water resource challenges including irrigation suitability, drinking water safety, and abstraction impacts across diverse geographical contexts from Denmark to India. Her work integrates field data with advanced computational techniques to improve predictive accuracy in complex aquifer systems. Analysis of her 2022-2024 publications reveals a consistent trend toward hybrid modeling approaches combining traditional hydrogeological frameworks with artificial intelligence. Key thematic clusters include uncertainty propagation in 3D geological models, neural network implementation for abstraction forecasting, and comparative evaluation of modeling discretization techniques. This research trajectory demonstrates strong alignment with sustainable groundwater management priorities and computational hydrology advancements. Her collaborative network includes prominent hydrogeologists at the University of Copenhagen such as K.H. Jensen and T.O. Sonnenborg, indicating active participation in major research initiatives. While specific grant details aren't provided, her publication output suggests involvement in projects addressing water security and modeling innovation.

• Cell & Molecular Biology
• Biochemistry
• Ribosome Biogenesis
• +۳ مورد دیگر

Vassie Ware is a Professor at Lehigh University, serving as the SEA Program Director and Co-director of STEM-SI and Distance Education initiatives. Her laboratory, the Ware Lab, operates within Iacocca Hall (B222), focusing on fundamental mechanisms in molecular biology. She leads research in ribosome biology and phage genomics, supported by collaborations and institutional resources including microscopy and genomics facilities. Research Focus: Dr. Ware investigates ribosomal heterogeneity in Drosophila melanogaster , examining how paralogous ribosomal proteins (eRpL22 family) create specialized ribosomes that regulate mRNA translation during spermatogenesis and eye development. Concurrently, her phage biology research explores mycobacteriophage defense mechanisms and genomic diversity through the HHMI-sponsored SEA-PHAGES program, aiming to advance phage therapy and bacterial pathogen control. Publication Trends: Her 15 most recent articles (2013–2020) reveal dual emphases: (1) Ribosome specialization in developmental processes, and (2) Bacteriophage genomics and host defense systems. Publications demonstrate consistent use of genetic, biochemical, and genomic methodologies with translational implications. Awards & Recognition: No formal scientific awards are documented in the provided text. Academic Leadership: Dr. Ware directs undergraduate research programs (SEA-PHAGES), STEM-SI, and a Distance Education Master’s in Molecular Biology. Her lab employs biochemical, cellular, and bioinformatic approaches, collaborating extensively within phage genomics consortia.

Qingyang Linمشاهده پروفایل

استاد پژوهشی

• Pore-Scale Imaging
• Transport in Porous Media
• Energy Engineering
• +۵ مورد دیگر

Qingyang Lin is a PhD Research Professor and Doctoral Supervisor at the College of Energy Engineering, Zhejiang University , where he joined in October 2020. His expertise lies in pore-scale imaging and modeling of transport in porous media, with applications across energy sectors. Prior to this, he was a Research Associate at Imperial College London (2015-2020), collaborating with Prof Martin J. Blunt (FREng). He holds a PhD (2015) in Earth Science and Engineering from Imperial College London, supervised by Prof Stephen Neethling and Prof Peter Lee (FREng). His research integrates advanced X-ray imaging, synchrotron sources, and numerical models to study micro/nano-scale transport mechanisms. Key research themes: CO 2 storage and uncertainty quantification Thermal energy storage optimization Decarbonization strategies for industries Electrochemical device design Mineral and ore processing His publications span journals like Applied Energy , AIChE Journal , and Geophysical Research Letters , reflecting interdisciplinary applications of porous media transport. While no specific awards or grants are mentioned, his work has accrued over 2900 citations with an h-index of 32. He advises doctoral students at Zhejiang University, though no advisees are named in the provided text.

Masaharu Isobeمشاهده پروفایل

دانشیار

• Mathematical Physics
• Condensed Matter Physics
• Statistical Mechanics
• +۷ مورد دیگر

Masaharu Isobe is an Associate Professor at Nagoya Institute of Technology's Graduate School of Engineering, Department of Physics, Applied Physics Program. With a Doctor of Science from Kyushu University (2000), he has established himself as a leading researcher in computational statistical physics and non-equilibrium systems. His academic journey includes positions at prestigious institutions including University of California, Berkeley, École Normale Supérieure in Paris, and Kyoto University's Yukawa Institute for Theoretical Physics. Doctor of Science, Kyushu University (2000) Master of Science, Kyushu University (1997) Bachelor of Science, Kyushu University, Department of Physics (1995) Professor Isobe's research focuses on mathematical physics and fundamental theory of condensed matter physics, particularly specializing in hard sphere systems, molecular dynamics simulations, and non-equilibrium statistical physics. His work bridges theoretical frameworks with computational approaches to understand phase transitions, glass formation, and active matter systems. He has made significant contributions to event-chain Monte Carlo methods and their applications to dense particle systems. His recent publications reveal a strong focus on active matter systems, hard disk and hard sphere models, and computational methods for analyzing structural relaxation. The research demonstrates sophisticated computational techniques applied to fundamental questions about phase transitions, pattern formation, and non-equilibrium dynamics in particle systems. Physical Review E 25th Anniversary Milestones (2018) Young Scientist Award of the Physical Society of Japan (2009) Professor Isobe actively advises students and has secured multiple competitive research grants, including several JSPS KAKENHI projects focusing on dynamic facilitation theory, non-equilibrium phase transitions, and self-driven complex molecular systems. His laboratory conducts cutting-edge research on computational statistical physics, with particular emphasis on developing and applying advanced simulation techniques to understand complex many-body phenomena.

Libal Andrasمشاهده پروفایل

دانشیار

• Computer Simulation
• Soft Condensed Matter Physics
• Active Matter
• +۵ مورد دیگر

Dr. Libal András is an Associate Professor at the Faculty of Mathematics and Computer Science of Babes-Bolyai University , Romania. His research spans soft condensed matter physics , active matter systems , and artificial spin ice , with a focus on computational modeling and GPU/CPU optimization. He collaborates with institutions like Los Alamos National Laboratory and has contributed seminal work on colloidal spin ice. Alma Mater: Bathory Istvan High School (Cluj), Babes-Bolyai University (BSc), University of Notre Dame (PhD) Past affiliations: Argonne National Lab, Los Alamos National Lab, Johns Hopkins University, Universiteit Antwerpen Research interests include: Computer simulation of soft condensed matter and active matter systems Topological defects in spin ice and granular materials Development of Arduino-based microcontroller applications and IoT systems GPU-accelerated simulation methods Publications focus on vortex dynamics , jamming transitions , colloidal crystals , and active matter across physics, materials science, and computational epidemiology. No scientific awards are explicitly mentioned in available sources.