جست‌وجوی استاد و پژوهشگر

Steffen Strauchمشاهده پروفایل

استاد

• Nuclear Physics
• Baryon Structure
• Muon-Proton Scattering
• +۵ مورد دیگر

Steffen Strauch is a Professor of Physics in the Department of Physics and Astronomy at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. His research focuses on baryon structure, muon-proton scattering, and photoproduction experiments addressing nuclear physics challenges such as the proton-radius puzzle and chiral symmetry restoration. Education: Ph.D. in Physics, Technische Hochschule Darmstadt, 1998 Dipl. Phys., Technische Hochschule Darmstadt, 1993 Research Interests: High-precision lepton-scattering experiments (e.g., MUSE at PSI) Photoproduction studies to resolve baryon spectroscopy issues Nuclear medium effects on hadron properties Radiative corrections and two-photon exchange analyses Key Collaborations: MUSE experiment at Paul Scherrer Institut CLAS and Hall A Collaborations at Jefferson Lab Synergistic Activities: Co-spokesperson for MUSE, co-organizer of workshops on hadron physics, reviewer for proposals and journals, and mentor for science outreach programs.

Zhao Yanxiangمشاهده پروفایل

دانشیار

• Computational Mathematics
• Numerical Analysis
• Mathematical Modeling
• +۴ مورد دیگر

Dr. Zhao Yanxiang is an Associate Professor in the Department of Mathematics at The George Washington University. His research focuses on computational mathematics, numerical analysis, and mathematical modeling with applications in biological chemistry and physics. He specializes in numerical methods for differential equations and phase-field modeling, particularly in areas such as cell motility and material science. Education: B.A., 2002, Dalian University of Technology M.S., 2005, Dalian University of Technology Ph.D., 2011, The Pennsylvania State University Research Interests: Dr. Zhao’s work bridges computational methods and real-world biological and physical systems. His key areas include optimal transport theory, phase-field modeling of biological processes (e.g., cell chemotaxis), and numerical schemes for nonlocal and multiscale systems. He has developed algorithms for applications in polymer physics, material phase transitions, and systems biology. His methodologies often integrate machine learning with traditional numerical analysis to solve complex PDEs and model dynamics across multiple spatial and temporal scales. Publications: His recent work emphasizes interdisciplinary applications of optimal transport, such as screening cell-cell communication via collective transport methods and analyzing phase-field models for biological systems. He has also contributed to the development of energy stable numerical schemes and physics-informed neural networks for solving challenging equations in materials science. Labs/Teams: While specific lab names are not mentioned, his research likely involves collaborations with computational biology and materials science groups, integrating mathematical modeling with experimental data.

Andrew Eckfordمشاهده پروفایل

دانشیار

• Molecular Communication
• Information Theory
• Computational Biology
• +۳ مورد دیگر

Andrew Eckford is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering, Toronto. His research bridges information theory with biological systems, focusing on unconventional communication channels. Education: B.Eng. from Royal Military College of Canada (1996) M.A.Sc. from University of Toronto (1999) Ph.D. from University of Toronto (2004) His research explores molecular communication, computational biology, and information theory applications in biological systems. Key areas include nanoscale networking, kinetic proofreading in immune responses, and energy-efficient molecular transmitters. The lab investigates how living systems process information, with implications for nanotechnology and synthetic biology. Recent publications reveal a strong trend toward interdisciplinary work connecting physics, biology, and communication theory. Articles examine viral communication mechanisms, T-cell activation models, and fundamental limits of biological information processing, demonstrating increasing convergence between information theory and life sciences. Scientific Recognition: 2015 IET Communications Innovation Award 2014 Bell Labs Prize Finalist Co-author of Molecular Communication textbook (Cambridge University Press) Eckford leads the Molecular Communication and Information Theory Laboratory, advising graduate students while collaborating with international researchers. His work has received significant media coverage including The Economist and The Wall Street Journal. Current projects include organizing the 3rd Workshop on Molecular, Biological, and Multi-Scale Communications (Glasgow, 2026) and exploring fundamental principles of information in living systems. The EckfordLab is affiliated with York University's Centre for Innovation in Computing @ Lassonde, maintaining active collaborations across engineering and biological disciplines to advance molecular-scale communication technologies.

Sirivatch Shimpaleeمشاهده پروفایل

استاد پژوهشی

• Renewable Energy
• Fuel Cells
• Energy Storage
• +۵ مورد دیگر

Sirivatch Shimpalee is a Research Professor in the Department of Chemical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. He serves as Director of the Hydrogen and Fuel Cell Center. His research focuses on renewable energy systems, including fuel cells, energy storage technologies, and bioenergy. Shimpalee holds a Ph.D. in Mechanical Engineering from the University of South Carolina (2001), an M.S. from Bradley University (1998), and a B.S. from Chiang Mai University (1992). His work emphasizes multi-scale modeling of electrochemical systems, particularly in transport phenomena and electrochemical kinetics. Recent studies include lithium-ion battery microstructure analysis, PEM electrolyzers, and hydrogen production via anhydrous HCl electrolysis. Shimpalee has over 100 peer-reviewed publications and has been recognized with awards such as the 2017 Outstanding Alumni Award and the 2004 Crystal Flame Innovation Award. Shimpalee collaborates extensively with industry (e.g., Palmetto Fuel Cell Analysis & Design, LLC) and oversees a research team addressing challenges in energy conversion and storage. His lab's innovations contribute to automotive battery systems, fuel cell durability, and sustainable bioenergy processes.

Brad Gemmellمشاهده پروفایل

دانشیار

• Marine Ecology
• Fluid Dynamics
• Animal Behavior
• +۵ مورد دیگر

Brad Gemmell is an Associate Professor in the Department of Integrative Biology at the University of South Florida (USF), within the College of Arts and Sciences. His research focuses on marine ecology, fluid dynamics, and animal behavior, particularly investigating how organisms interact with fluid environments. He employs advanced imaging techniques like particle image velocimetry and holographic cinematography to study predator-prey dynamics, environmental pollutant impacts, and bio-inspired design principles. Education: Ph.D. in Marine Science (University of Texas, Austin, 2011); B.S. in Biology (University of Victoria, 2006). Research Interests: Gemmell explores fluid-organism interactions, evolutionary arms races between predators and prey, and the ecological consequences of marine pollutants such as oil spills. His work bridges biology and physics, with a focus on jellyfish propulsion, ctenophore predation, and the hydrodynamics of swimming in marine organisms. Lab and Collaborations: The Gemmell Lab develops biohybrid robotic jellyfish and examines the role of marine organisms in ecosystem processes. Current projects include studies on salp colony locomotion, shark scale bristling, and the ecological impacts of gelatinous zooplankton. Advising and Grants: Gemmell actively mentors graduate students and has secured grants for research on ctenophore predation, marine fluid mechanics, and bio-inspired engineering. He is currently accepting graduate students for collaborative projects.

Jennifer Gallowayمشاهده پروفایل

استاد

• Palynology
• Paleoecology
• Climate Change
• +۱۷ مورد دیگر

Jennifer Galloway is a Researcher at the Geological Survey of Canada and a Professor at Brandon University's Department of Geology. She specializes in palynology and paleoecology , focusing on climate change impacts across various time scales, particularly in Arctic Canada and northern ecosystems . Her work spans Jurassic-Cretaceous stratigraphy , Holocene lake sediments , and contaminant geochemistry in mining-impacted environments. Education: PhD in Earth Sciences from Carleton University (2002-2006), BSc in Biology from Queen's University (1997-2002) Her research integrates palynological biostratigraphy , geochemical analysis , and environmental monitoring to address questions about terrestrial vegetation changes , volcanic impacts , and metal contamination dynamics . Recent publications highlight studies on peat accumulation rates , Arctic wildfire history , and arsenic mobility under climate change. She has served as Editor-in-Chief for the Bulletin of Canadian Energy Geoscience (2020-2024) and editorial advisory boards for journals like the Journal of Cretaceous Research. Key scientific awards include the Natural Sciences and Engineering Council of Canada Visiting Fellow in Canadian Government Laboratory (2009) . She has collaborated with international institutions such as Aarhus University (Denmark) and Geological Survey of Denmark and Greenland . Her fieldwork includes significant projects in Ellesmere Island , Vancouver Island , and Northwest Territories , utilizing techniques like Itrax XRF core-scanning and uranium-lead zircon dating . She has also contributed to environmental monitoring frameworks for mining impacts and climate change resilience studies in subarctic lakes.

Roberto Menichettiمشاهده پروفایل

پژوهشگر

• Theoretical Physics
• Computational Physics
• Statistical Mechanics
• +۷ مورد دیگر

Roberto Menichetti is a theoretical physicist at the University of Trento , affiliated with the Department of Physics and the VARIAMOLS research group . His work integrates computational physics, statistical mechanics, and machine learning to model biomolecules and soft matter systems. Prior roles include postdoctoral research at the Max Planck Institute for Polymer Research (2016-2018) and academic training at the University of Rome 'La Sapienza'. PhD in Physics (La Sapienza, 2016) BSc/MSc in Physics (La Sapienza, 2012) His research spans: Coarse-Graining Methods for polymers, colloids, and biomolecules High-throughput Molecular Dynamics Simulations in drug-membrane permeability studies Integration of Machine Learning with physical models for multi-scale analysis Applications in Biophysics (e.g., chromatin condensates, protein dynamics) Article trends highlight his focus on computational frameworks like EXCOGITO and theoretical investigations of non-equilibrium systems and allosteric regulation . He actively develops tools for systematic model reduction and conformational sampling in biomolecular systems. Contact: roberto.menichetti@unitn.it

Benjamin Uekermannمشاهده پروفایل

استادیار

• Computational Science
• Multiphysics Simulation
• Parallel Computing
• +۳ مورد دیگر

Benjamin Uekermann is a Jun.-Prof. (Assistant Professor) at the University of Stuttgart's Institute for Parallel and Distributed Systems (IPVS), part of the Faculty of Computer Science, Electrical Engineering, and Information Technology. His work focuses on sustainable simulation software ecosystems , particularly advancing the preCICE coupling library for multi-physics and multi-scale simulations. He leads research in partitioned simulation coupling , reproducible software practices, and high-performance computing tools. His research interests include Parallel computing and distributed systems Numerical methods for coupled PDE-based simulations Scientific software sustainability and open-source frameworks Data-driven adaptive algorithms Validation and testing of simulation ecosystems Recent work emphasizes reproducibility via NixOS integration, user-friendly tools like MetaConfigurator and ASTE, and multi-X coupling across scales and physics domains. His preCICE library enables seamless integration of solvers like OpenFOAM and FEniCS for fluid-structure interaction, CFD/CSD, and thermohydraulics. Key contributions include scalable radial-basis interpolation methods, quasi-Newton acceleration schemes, and geometric multi-scale coupling frameworks. He actively develops educational materials on open-source scientific computing and advocates for sustainable research software practices.

Fang Luoمشاهده پروفایل

دانشیار

• Power Electronic Converters and Systems
• Power Module Packaging
• EMI Modeling and Mitigation

Fang Luo is the Empire Innovation Associate Professor and Director of the Spellman High Voltage Power Electronics Laboratory at Stony Brook University's Department of Electrical and Computer Engineering. He is affiliated with the College of Engineering and Applied Sciences, focusing on advancing power electronics technologies. His research interests encompass Power Electronic Converters and Systems, Power Module Packaging, and EMI Modeling and Mitigation. These areas address challenges in high-voltage systems, renewable energy integration, and electromagnetic compatibility. Dr. Luo's work emphasizes practical applications, such as optimizing power converters for offshore wind farms and developing advanced packaging solutions for wide bandgap (WBG) semiconductors. His laboratory, the Spellman High Voltage Power Electronics Lab, drives innovation in high-voltage systems and energy-efficient power electronics. His recent publications highlight advancements in HVDC wind energy systems, GaN-based converter designs, and EMI mitigation strategies. He has contributed to the design of modular power converters and cryogenic power electronics for electric aircraft propulsion. As a leader in his field, Dr. Luo's research bridges theoretical modeling and practical engineering solutions, with a focus on sustainable energy systems and cutting-edge semiconductor technologies.

José Luis Chávezمشاهده پروفایل

استاد

• Agricultural Water Management
• Hydrologic Science
• Remote Sensing Applications
• +۴ مورد دیگر

José Luis Chávez is a Professor in Civil and Environmental Engineering at Colorado State University. He specializes in irrigation engineering, water management, and remote sensing applications in agriculture. His academic career includes a B.S. from Universidade Federal da Paraiba (1992), an M.S. in Irrigation Engineering (Utah State University, 1999), and a Ph.D. in Biological and Agricultural Engineering (Utah State University, 2005). Dr. Chávez’s research focuses on optimizing irrigation practices through evapotranspiration (ET) modeling, remote sensing technologies, and precision irrigation strategies. He explores crop water use efficiency, soil moisture dynamics, and the integration of multispectral imaging for irrigation scheduling. His work bridges hydrology, agronomy, and engineering to address water scarcity challenges in agricultural systems. Key contributions include advancing SEBAL-A algorithms for ET estimation under advective conditions, developing crop coefficient models using remote sensing, and improving irrigation management techniques in semi-arid regions. He teaches courses on irrigation systems design, water management, and drainage engineering. His professional affiliations include the American Society of Civil Engineers and the U.S. Commission on Irrigation and Drainage. While no awards are explicitly mentioned, his extensive publications reflect significant contributions to agricultural water management and remote sensing science.

• Supply Chain Risk Management
• Logistics
• Sustainable Supply Chain
• +۳ مورد دیگر

Dr. Nader Azad is an Associate Professor of Operations Management at the Faculty of Business and Information Technology, Ontario Tech University. He specializes in supply chain risk management, logistics, and stochastic optimization. His work focuses on developing strategies to mitigate disruptions and enhance resilience in supply chains using game theory and large-scale optimization models. Education: PhD in Industrial Engineering (Amirkabir University of Technology), Postdoctoral Fellowship in Operations Management (McMaster University), MSc and BSc in Industrial Engineering (Iran University of Science & Technology). Research interests include supply chain risk mitigation, sustainable logistics, and disruption recovery. He holds a NSERC Discovery Grant ($100,000) for modeling disruption risks in supply networks. Notable publications appear in Transportation Science , Omega , and European Journal of Operations Research . Grants: NSERC Discovery Grant (2017–2022), FGSR Faculty Grant (2017–2018). Awards include IFER Postdoctoral Fellowship (2012–2013) and Top PhD Student (2008–2009). Labs/Groups: Member of the Business Analytics & AI Research Group, collaborating on data-driven decision-making in operations and marketing.

LIU Boxiangمشاهده پروفایل

استادیار

• Genomics
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

Asst Prof LIU Boxiang holds the position of Assistant Professor and NUS Presidential Young Professorship at the Department of Pharmacy and Pharmaceutical Sciences, National University of Singapore (NUS), within the Faculty of Science. His research focuses on integrating multi-omics approaches with computational methods to study complex diseases such as coronary artery disease and age-related macular degeneration. He specializes in developing statistical and machine learning tools for genomic analysis, including eQTL mapping and deep learning architectures for gene expression regulation. Education: BA in Biophysics (Illinois Wesleyan University), MS and PhD in Bioinformatics (Stanford University). He contributed to the GTEx consortium and is part of the Asian Immune Diversity Atlas (AIDA) initiative. His lab develops methods like ANTseq for ancestry determination and scPrediXcan for cell-type-specific transcriptome studies. Research Interests: Functional genomics, eQTL analysis, deep learning in biomedicine, and computational tools for omics data integration. His work bridges disciplines such as natural language processing and computer vision with biological questions. Scientific Awards: NUS Presidential Young Professorship (2021). His lab's innovations include ParaMed, a biomedical translation dataset, and LinearDesign for optimized mRNA stability. Advising and Grants: Leads the Liu Lab (boxiangliulab.com), focusing on single-cell genomics, mitochondrial dynamics, and computational biomedicine. Collaborates on projects like the RESET cohort study for cardiovascular disease prevention.

Feng Anمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Power Conversion
• Power Electronic Converters
• Optimized Power System Operation
• +۳ مورد دیگر

Dr. Feng (Chris) An is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. in Electrical Engineering from Tsinghua University (2023) and joined UQ in 2024. His research focuses on renewable energy power conversion, power electronics topology/control, and optimized power system operation with integrated power electronic devices. He is a reviewer for top-tier journals like IEEE Transactions on Power Electronics and has been recognized in the Stanford/Elsevier Top 2% Scientists List 2024. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2023 Research Interests: Renewable energy systems, power electronic converters, grid integration, energy storage systems, and power system modeling. Publications: Over 16 peer-reviewed articles in journals like IEEE Transactions and conference proceedings, focusing on DC transformers, energy storage, and grid resilience. Awards: Stanford/Elsevier Top 2% Scientists List 2024 He advises students in renewable energy and power conversion and collaborates with the Power & Energy Systems Research Group. His work addresses challenges in high-renewable grids and power system stability.

• Smart Urbanism
• Infrastructure Governance
• Southern Urbanism
• +۳ مورد دیگر

Professor Tooran Alizadeh is a Professor of Urbanism and Infrastructure at the University of Sydney's School of Architecture, Design and Planning. She holds an ARC Future Fellowship and specializes in smart urbanism, infrastructure governance, and Southern urbanism. Her work critically examines socio-spatial inequities, telecommunication infrastructure, and the intersection of technology with urban development in Global South contexts. Education: PhD in Urban Studies, Graduate Certificate in Higher Education, Master of Urban Design and Planning, Master of Architecture, and Bachelor of Architecture. Research Interests: Smart city policy and implementation challenges Infrastructure governance in crises Socio-economic impacts of telecommunication networks Urban resilience and disaster planning Epistemic silences in settler-colonial urbanism Grants: 2023: Infrastructure governance beyond government at times of multiple crises (DVC Seed Funding) 2021: Socio-spatial implications of smart city development in India (ARC Future Fellowship) Awards: ARC Future Fellowship (2020–present). Labs/Teams: Member of the Sydney Southeast Asia Centre. Active in the Infrastructure Governance Incubator research network.

• Process Systems Engineering
• Green Ammonia
• Tidal Energy
• +۳ مورد دیگر

Rene Bañares-Alcántara is a Professor at the University of Oxford 's Department of Engineering Science and a Fellow of New College since 2003. His academic journey began with a BSc in Chemical Engineering from UNAM, followed by MSc and PhD from Carnegie Mellon University. Research Focus: Process Systems Engineering, specializing in long-term renewable energy storage and green ammonia production since 2014. Key Contributions: Development of techno-economic models for green ammonia, integrating tidal/wind/solar variability, offshore production, and international trade dynamics as lead of the OXGATE research group . Teaching Roles: Tutors first/second-year engineering students in Thermodynamics, Fluids, Mathematics, and Engineering & Society; teaches Risk & Safety, Reactor Design, and coordinates third-year design projects. Recent Publications: Focus on tidal stream energy phasing for green ammonia production, decarbonization strategies for India, and ammonia's role in shipping and UK energy storage. These studies highlight his expertise in combining tidal energy predictability with chemical process design. Collaborations: Works with institutions like EMEC and FORWARD2030, leveraging tidal hotspots in the Irish Sea and Orkney. His work addresses grid constraints, equipment sizing, and environmental impacts of large-scale tidal energy deployment.