جست‌وجوی استاد و پژوهشگر

William Boosمشاهده پروفایل

دانشیار

• Atmospheric Dynamics
• Monsoons
• Climate Science
• +۳ مورد دیگر

William Boos is an Associate Professor at the University of California, Berkeley and a Faculty Scientist at the Lawrence Berkeley National Laboratory. He serves as editor for the Journal of the Atmospheric Sciences and teaches courses on atmosphere-ocean dynamics, extreme weather, and career development for students. His research centers on large-scale atmospheric dynamics with emphasis on monsoons, extreme weather phenomena, and Earth's hydrological cycle. He investigates how atmospheric circulations, radiative transfer, ocean interactions, and land surface processes govern global heat and water distribution, with particular focus on phase changes of water in atmospheric systems and their role in planetary-scale flows. Analysis of his recent publications reveals dominant research themes in monsoon low pressure systems, orographic precipitation sensitivity, elevation-dependent warming, and climate change impacts on extreme temperatures. His work consistently integrates theoretical frameworks, observational data, and numerical modeling to address unresolved problems in atmospheric science. Scientific recognition includes: James R. Holton Junior Scientist Award (2010) Boos leads an active research group studying atmospheric dynamics while mentoring students through specialized career development initiatives. His dual affiliation with UC Berkeley and Lawrence Berkeley National Laboratory enables comprehensive climate modeling research with real-world applications.

• Transportation Policy
• Public Transport Economics
• Mobility as a Service (MaaS)
• +۳ مورد دیگر

Professor David Hensher is a Professor of Management and Founding Director of the Institute of Transport and Logistics Studies (ITLS) at the University of Sydney Business School. The ITLS is ranked 'well above world standards' (ERA Level 5) and globally ranked 8th in its field. He holds a BCom (Hons I) and PhD from UNSW, and is a Fellow of multiple institutions including FASSA, FCILT, and FAITPM. His research focuses on transport policy, public transport economics, and sustainable urban mobility, with notable contributions to Mobility as a Service (MaaS), bus transport systems, and post-pandemic travel behavior. Education: Bachelor of Commerce (Honours I) from UNSW PhD in Transport Studies from UNSW Education in Kenya, England, and Australia Research Interests: Prof. Hensher’s work bridges theoretical and applied aspects of transport systems, emphasizing policy design, demand modeling, and sustainability. Key areas include: MaaS frameworks and regional implementation challenges Economic impacts of public transport reforms Post-pandemic travel behavior and work arrangements Zero-emission vehicle adoption and infrastructure needs Grants & Awards: 2023: Member (AM) of the Order of Australia for services to transport and logistics. 2024: Lead investigator on grants including 'Investigation into the economy-wide implications of large-scale price reductions in public transport' and 'Promoting Sustainable University Travel Choices.' Media & Outreach: Prof. Hensher frequently engages with media and policymakers on transport issues, including commentary on Sydney’s traffic patterns, hybrid work productivity, and the regulation of ride-hailing services like Uber. Labs & Teams: Directs the ITLS, a multidisciplinary hub for transport and logistics research, collaborating globally with institutions like the Economic Research Institute for ASEAN and East Asia (ERIA).

• Sustainable Energy Engineering
• Battery Technologies
• Fuel Cell Performance
• +۳ مورد دیگر

Paul Shearing is a Professor of Sustainable Energy Engineering at the University of Oxford's Department of Engineering Science and Director of the ZERO Institute. He holds the Royal Academy of Engineering Chair in Emerging Battery Technologies. His roles include shaping the ZERO Institute's strategy, research, and teaching programs. He was elected a Fellow of the Royal Academy of Engineering in 2024. His research focuses on battery safety, electrochemical systems, and sustainable energy technologies. Key areas include lithium-ion and solid-state batteries, fuel cells, and advanced materials for energy storage. His work integrates experimental techniques like neutron imaging, X-ray tomography, and acoustic diagnostics with computational modeling. Notable contributions include studies on thermal runaway mechanisms, battery degradation pathways, and innovative charging strategies. He has pioneered community-driven infrastructure for battery innovation and emphasized interdisciplinary approaches to address energy challenges. Awards: Royal Academy of Engineering Fellowship (2024) Key Projects: Director of ZERO Institute, Royal Academy of Engineering Chair in Emerging Battery Technologies Grants/Advising: Leads large-scale research initiatives in battery safety and energy storage systems His lab develops advanced diagnostic tools for real-time battery monitoring and collaborates with industry to transition research into commercial applications, emphasizing sustainability and scalability.

Anil Vullikantiمشاهده پروفایل

استاد

• Randomized Algorithms
• Combinatorial Optimization
• Distributed Computing
• +۶ مورد دیگر

Anil Vullikanti is a Professor in the Department of Computer Science and a core faculty member of the Biocomplexity Institute at the University of Virginia. He holds affiliations within the School of Engineering and Applied Science. His research bridges theoretical computer science and applied domains like epidemiology, critical infrastructure, and public health. Previously, he held roles at Virginia Tech (2005–2018) and Los Alamos National Lab (2003–2005), and completed postdoctoral work at the Max Planck Institute for Computer Science. Education: B. Tech from Indian Institute of Technology, Kanpur (1993); PhD from Indian Institute of Science, Bangalore (1999). Research Interests: Randomized Algorithms, Combinatorial Optimization, Distributed Computing, Network Science, Machine Learning, and AI applied to epidemiological modeling, infrastructure protection, and healthcare systems. His work emphasizes scalable algorithms for real-world systems like pandemic forecasting, evacuation planning, and infection control. Key Awards: College of Engineering Faculty Fellow Award (Virginia Tech, 2017) Excellence in Research Award (Biocomplexity Institute, 2017) DOE Early Career Award (2010) NSF CAREER Award (2009) Grants & Projects: Focus on large-scale computational epidemiology, disaster management systems, and AI-driven public health interventions. His lab develops frameworks for epidemic scenario modeling, agent-based simulations, and privacy-preserving analytics. Labs & Teams: Leads research groups at the Biocomplexity Institute, collaborating on interdisciplinary projects with engineers, epidemiologists, and policymakers to address societal challenges like pandemic response and infrastructure resilience.

Eran Ginossarمشاهده پروفایل

دانشیار

• Quantum Optics
• Superconducting Circuits
• Quantum Information Processing
• +۴ مورد دیگر

Dr. Eran Ginossar is an Associate Professor and Associate Head for Research & Innovation at the Advanced Technology Institute within the School of Mathematics and Physics at the University of Surrey. He holds a PhD from the Weizmann Institute of Science (2008) and has conducted postdoctoral research at Yale University. His research focuses on quantum optics, superconducting circuits, and quantum information processing at the intersection of quantum mechanics and solid-state physics. Key interests include quantum optimal control, topological states of matter, and quantum simulations. He has held an EPSRC Fellowship (2011–2014) and is a member of the Institute of Physics (IoP) and the American Physical Society (APS). His teaching includes advanced courses such as Advanced Quantum Mechanics and Superconducting Quantum Processors . He supervises PhD students (current: Niril George, Anthony Balchin) and postdoctoral researchers (e.g., Priya Sharma). Notable past advisees include Matthew Elliott and Joseph Allen. His work contributes to UK leadership in quantum computing through initiatives like the Surrey-led quantum computing roadmap. Research themes emphasize developing protocols for quantum information processing using solid-state devices, with methodologies combining non-equilibrium modeling and large-scale simulations. Recent projects address Majorana states, topological insulators, and robust quantum computing architectures. His lab is affiliated with the Advanced Technology Institute, fostering interdisciplinary innovation in quantum technologies. Awards: EPSRC Fellowship (2011–2014) Grants: Contributions to UK quantum computing initiatives Publications: Over 50 articles in journals like Physical Review Letters and Nature Communications , focusing on quantum circuits, topological systems, and quantum control.

Anh Phanمشاهده پروفایل

مدرس

• Fluid-rock interactions
• CO2 capture and storage
• Gas hydrate management
• +۴ مورد دیگر

Dr Anh Phan is a Lecturer in Chemical Engineering at the University of Surrey within the School of Chemistry and Chemical Engineering. Her research focuses on fluid-rock interactions, CO2 capture and storage, gas hydrate management, and nanopore transport phenomena. She utilizes advanced simulation techniques to bridge atomic-scale observations with large-scale applications. Education: PhD in Chemical Engineering, University College London (UCL), 2016 Graduate studies at The University of Oklahoma, 2011–2013 Research Scientist at Institute of High-Performance Computing (A*STAR, Singapore), 2017–2018 Her research interests include sustainable energy solutions, environmental engineering, and the application of molecular simulations to understand fluid behavior in confined environments. Key projects include contributions to the Horizon 2020 Science4CleanEnergy initiative and hydrate management collaborations with Colorado School of Mines. Publications highlight work on hydrate anti-agglomerants, CO2 storage mechanisms, and nanopore transport dynamics. Recent studies explore green chemistry advancements for methane storage and machine learning applications in environmental monitoring. Dr Phan’s work bridges fundamental science and practical engineering challenges in energy and environmental systems.

Daniel Wangمشاهده پروفایل

استاد

• Galactic Ecosystems
• High-Energy Astrophysics
• X-ray Astronomy
• +۵ مورد دیگر

Professor Daniel Wang is a faculty member in the Department of Astronomy at the University of Massachusetts Amherst, part of the College of Natural Sciences. He holds a Ph.D. from Columbia University (1990). His research focuses on galactic ecosystems, particularly the interplay between galaxies and their surroundings through high-energy processes like supernova feedback, black hole accretion, and intergalactic medium interactions. Utilizing multi-wavelength observations (X-ray, radio, infrared, ultraviolet), he studies hot gas dynamics, magnetic fields, and galactic winds in systems such as the Milky Way's central molecular zone and edge-on galaxies via the CHANG-ES survey. Key projects include analyzing the Circumgalactic Medium (CGM) in nearby galaxies and studying gravitationally lensed high-redshift starbursts through the PASSAGES collaboration. Wang has advised multiple graduate and undergraduate students and delivered invited talks at international symposia such as the Texas Symposium on Relativistic Astrophysics and IAU Commission H1 events. Research emphasizes observational and computational approaches to understand matter/energy flows, with recent work on magnetic field structures in galactic halos, lensed protoclusters, and cosmic ray transport. His work bridges observational astronomy with theoretical modeling, often involving collaborations like the CHANG-ES and PASSAGES teams.

Shubha Tewariمشاهده پروفایل

مدرس ارشد

• Theoretical Condensed Matter Physics
• Soft Matter Physics
• STEM Education
• +۱ مورد دیگر

Shubha Tewari is a Senior Lecturer II in the Department of Physics at the University of Massachusetts Amherst, part of the College of Natural Sciences. She holds a Ph.D. from the University of California, Los Angeles (UCLA) and an M.Sc. from the Indian Institute of Technology, Kanpur. Her research focuses on Theoretical Condensed Matter Physics and Soft Matter Physics , with a particular interest in granular materials and foam dynamics. She is also deeply involved in STEM education and outreach, serving as the Director of the University's STEM Education Institute , which bridges university researchers with K-12 educators and the broader public. Her outreach initiatives include organizing school visits, workshops like The Scientist in the Sandbox , and large-scale events such as the Big Bang Science Fair and Squishy Science Sunday . Her work emphasizes making STEM accessible and inspiring to underrepresented groups through engaging, hands-on activities. Dr. Tewari's research explores granular flow dynamics, including obstruction effects in 3D systems and the role of wall friction in hopper flows. She also investigates foam behavior and jamming phenomena. Her publications span topics from granular materials to epidemic modeling and electrostatic particle interactions. Beyond academia, she advocates for collaborative programs that connect researchers with educators to foster scientific literacy. Her current roles and past projects reflect a commitment to advancing both scientific discovery and public engagement. While no specific awards are listed in the provided texts, her contributions to education and outreach are highlighted as impactful. She oversees the Tewari group and actively participates in organizing interdisciplinary initiatives through the STEM Education Institute.

Charles Meneveauمشاهده پروفایل

استاد

• Large eddy simulation
• Turbulence research and modeling
• Fractals
• +۴ مورد دیگر

Charles Meneveau is the Louis M. Sardella Professor in Mechanical Engineering and associate director of the Institute for Data-Intensive Science and Engineering (IDIES) at Johns Hopkins University. He holds joint appointments in the Department of Physics and Astronomy and the Department of Environmental Health Engineering. His research focuses on turbulence modeling, large eddy simulation (LES), and wind energy systems. Meneveau leads the Johns Hopkins Turbulence Databases (JHTDB), a public resource providing access to massive turbulence datasets. Education: BS from Universidad Técnica Federico Santa María (1985); MS (1985), MPhil (1987), and PhD (1989) from Yale University. His postdoctoral work at Stanford University’s Center for Turbulence Research pioneered wavelet analysis in turbulence. Research interests include multiscale turbulence dynamics, LES subgrid-scale modeling, wind farm fluid dynamics, and environmental transport. Key contributions include the Lagrangian dynamic model for LES, which expanded applicability to complex geometries. His work on vertical entrainment in wind farms enhances turbine efficiency and renewable energy potential. Awards: Member of the National Academy of Engineering (2014). Over 250 peer-reviewed papers have used JHTDB data, demonstrating its global impact. Current roles: Deputy editor of the Journal of Fluid Mechanics, director of JHTDB, and collaborator on projects funded by NSF, DOE, and DARPA. His team addresses offshore wind energy challenges through computational and experimental methods.

Azzedine Boukercheمشاهده پروفایل

استاد

• Wireless Communication
• Mobile Ad Hoc Networks
• Sensor Networks
• +۵ مورد دیگر

Azzedine Boukerche is a Full Professor and holds a Canada Research Chair in Large-Scale Distributed Simulation Systems and Vehicular Networking (Tier 1) at the University of Ottawa. He is the Founding Director of the PARADISE Research Laboratory. Previously, he held faculty positions at the University of North Texas, McGill University, and Polytechnic of Montreal, and worked as a Senior Scientist at Metron Corporation. His research focuses on wireless communication, mobile ad hoc networks, sensor networks, distributed systems, and large-scale simulation. He has authored multiple books and numerous publications in top-tier conferences and journals. Research Interests: His work spans Wireless Communication , Mobile Ad Hoc Networks , Sensor Networks , Parallel and Distributed Simulation , and Security in IoT/Underwater Systems . His contributions address challenges in network protocols, privacy, and efficient resource management in dynamic environments. Awards: Ontario Distinguished Researcher Award, Canada Research Chair, G. S. Glinski Award, Best Paper Awards (PADS'97, Telecommunication Software 1999). Leadership: Co-founder of QShine Conference, served as General Chair/Program Chair for IEEE/ACM events, and editorial roles in journals like Wireless Networks and Journal of Parallel and Distributed Computing . Labs & Teams: He leads the PARADISE Lab, focusing on innovations in vehicular networks, underwater systems, and distributed simulation. His team collaborates on projects involving autonomous vehicles, smart cities, and secure communication protocols.

Marjan van den Akkerمشاهده پروفایل

دانشیار

• Operations Research
• Artificial Intelligence
• Public Transportation Planning
• +۴ مورد دیگر

Dr. Marjan van den Akker is an Associate Professor in the Department of Information and Computing Sciences at Utrecht University, holding a joint position with KLM through the KickstartAI program. Her research focuses on the intersection of Operations Research and Artificial Intelligence, emphasizing robust planning algorithms, simulation, and optimization for public transportation and energy networks. She earned her PhD in Mathematics from Eindhoven University of Technology, specializing in scheduling and resource allocation. Marjan leads the Computing Science master program and teaches 'Optimization for Sustainability.' She co-directs the Utrecht AI & Mobility Lab and Robust Rail Lab, and serves as President of the Dutch Operations Research Society (NGB). Her work bridges academia and industry, collaborating with partners like KLM, TenneT, and NS to address real-world challenges in logistics, energy systems, and rail operations. Key contributions include airline recovery algorithms, energy-constrained scheduling, and robustness metrics for stochastic systems. Her research has been published in top journals/conferences such as Journal of Scheduling , Computers & Operations Research , and IEEE conferences. Projects include the EU-funded ACDC-ESM initiative analyzing renewable energy systems and the Building Resilient Airline Operations collaboration with KLM.

• Condensed Matter Physics
• Quantum Mechanics
• Topological Materials
• +۴ مورد دیگر

Jens Bardarson is a Professor in the Department of Condensed Matter Theory at KTH Royal Institute of Technology. He leads a research group focused on theoretical studies of quantum matter, particularly in topological materials, many-body localization, and quantum dynamics. His academic roles include teaching advanced courses such as Advanced Quantum Mechanics and Non-Equilibrium Statistical Mechanics. Education: Ph.D. in Theoretical Physics (2008), University of Leiden, supervised by Prof. Carlo Beenakker. M.Sc. in Physics (2004), University of Iceland. B.Sc. in Physics (2002), University of Iceland. Research Interests: Condensed matter theory with a focus on topological phases, many-body localization, and quantum dynamics. Quantum transport in topological insulators and Weyl semimetals. Non-equilibrium phenomena and thermalization dynamics in quantum systems. Development of numerical methods for large-scale many-body quantum systems. His recent publications explore topics like symmetry fractionalization in quantum spin models, anisotropic transport in topological nanowires, and localization dynamics in disordered systems. He advises a dynamic group of PhD and master’s students, contributing to cutting-edge research in theoretical physics. His work often bridges theoretical concepts with numerical simulations, addressing challenges in finite-size systems and quantum anomalies. Labs/Teams: Bardarson leads a vibrant research group at KTH, collaborating with institutions globally to advance understanding of quantum matter and topological materials.

• Fluid Mechanics
• Turbulence
• Combustion Physics
• +۳ مورد دیگر

Geert Brethouwer is a Researcher at KTH Royal Institute of Technology, working within the FLOW MECHANICS group. He focuses on fluid mechanics, turbulence, and computational fluid dynamics, with expertise in reactive flows, atmospheric boundary layers, and large-eddy simulation (LES) modeling. His research emphasizes turbulence modeling, scalar transport in complex flows, and the effects of rotation, stratification, and roughness on flow dynamics. He contributes to courses such as Technical Fluid Mechanics (SG1220) and Thermodynamics (SG1216) as a teaching assistant, reflecting his commitment to both research and education in engineering sciences. His work integrates advanced numerical methods like DNS and LES to study transitional and turbulent flows, with applications in environmental fluid mechanics and combustion physics. Key research interests include Reynolds-stress modeling for stratified flows, passive scalar transport in rotating systems, and improving LES accuracy through subgrid-scale closures. His studies often address anisotropic turbulence, boundary layer transitions, and the interplay between flow instabilities and scalar mixing processes. Brethouwer’s publications span over two decades, with recent work focusing on heat/mass transfer disparities in rotating systems, turbulent combustion physics, and the explicit algebraic modeling of atmospheric boundary layers. He actively engages with computational tools like OpenFOAM to enhance LES fidelity while minimizing numerical dissipation. His research group collaborates on projects involving wall-jet flows, particle-laden turbulent flows, and the statistical analysis of high-order velocity fluctuations. Despite no awards explicitly listed in the provided texts, his extensive publication record underscores significant contributions to fluid dynamics methodologies.

Hermann Fritzمشاهده پروفایل

استاد مدعو

• Tsunami Dynamics
• Geohazards
• Coastal Engineering
• +۴ مورد دیگر

Hermann Fritz is a faculty member at the Georgia Institute of Technology, affiliated with the School of Earth & Atmospheric Sciences within the College of Sciences. He holds a courtesy appointment in Solid Earth Sciences and focuses on fluid dynamics of natural hazards, particularly tsunamis generated by volcanic eruptions, landslides, and earthquakes. His research integrates physical modeling, field surveys, and numerical simulations to study coastal hazards and disaster mitigation strategies. His work emphasizes understanding tsunami generation mechanisms through large-scale experiments in wave basins and analyzing post-disaster field data from global events such as the 2018 Anak Krakatau volcanic tsunami and the 2011 Tohoku earthquake. He has conducted extensive surveys in regions like Indonesia, Chile, and the Philippines, documenting tsunami impacts on coastal communities and infrastructure. Key research themes include submarine volcanic eruption dynamics, landslide-induced tsunamis, and the sedimentological record of historical events. His studies contribute to improving early warning systems and coastal resilience planning. Notable projects include the National Geodatabase of Ocean Current Power Resource and experimental facilities like the Priest Landing flume. Awards and grants are not explicitly mentioned in the provided materials, though his extensive fieldwork and collaborative surveys reflect a commitment to impactful disaster research. He has advised no listed students but collaborates internationally on tsunami science initiatives. The Laboratory for Experimental Fluid Dynamics at Georgia Tech supports his physical modeling efforts.

William J. Laytonمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Fluid Dynamics
• +۳ مورد دیگر

William J. Layton is a Professor in the Department of Mathematics at the University of Pittsburgh, affiliated with The Dietrich School of Arts and Sciences. He holds a PhD from the University of Tennessee. His research focuses on numerical analysis and scientific computing, particularly in developing novel algorithms and models for understanding fluid motion, turbulence, and environmental systems. He has advised numerous MS and undergraduate students and directed 43 PhD students, many of whom have achieved notable academic success. His work addresses challenges such as modeling large-scale fluid phenomena, contaminant transport between surface and groundwater, and computational methods for climate studies. Education: PhD, University of Tennessee Dr. Layton's research interests include turbulence modeling, computational fluid dynamics, and the development of algorithms for simulating complex fluid systems. He explores applications in environmental modeling and interdisciplinary computational methods for climate studies, such as coupling atmosphere and ocean models. His contributions have led to impactful advancements in both theoretical and applied mathematics. He maintains an active role in academic service and mentorship, with a strong record of training future researchers. Contact: 603 Thackeray Hall, wjl@pitt.edu.