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Dong Ngo DuyView profile

Associate Professor

• Connected and Autonomous Vehicles
• Traffic Flow Theory and Simulation
• Data Fusion
• +7 more

Dong Ngo Duy is an Associate Professor in the Department of Civil & Environmental Engineering at Monash University, where he serves as the Head of the Transport Section. He holds a PhD in Traffic Flow Theory and Simulation from Delft University of Technology and has held academic positions at the University of Leeds (UK), University of Canterbury (NZ), and now Monash University (Australia). PhD, Traffic Flow Theory, Technische Universiteit Delft (2006) MSc, Traffic Engineering, Linköpings Universitet (2002) His research focuses on Connected and Autonomous Vehicles (CAVs) , Traffic Flow Theory , Data Fusion , and Urban Network Optimization . He applies AI and machine learning to model, predict, and control multi-modal traffic systems, aiming to develop smart city platforms for sustainable transport in mega-cities. The recent trend in his publications (2022–2025) reflects a strong focus on intelligent transportation, including trajectory planning, risk-aware control, car-following modeling using neural symbolic regression, and intercity mobility analysis. His work bridges theoretical modeling with practical applications in emerging connected environments. Scientific Awards: UK Research Council (EPSRC) Advanced Fellow Award (2011–2016) in Connected and Autonomous Vehicles Dong Ngo Duy actively supervises PhD students and contributes to major research initiatives in intelligent transport systems. His work aligns with UN Sustainable Development Goals, particularly in sustainable cities and transport. He previously chaired the Connected Traffic Systems Lab at the University of Canterbury and continues to lead impactful research in transport innovation.

Steve MoreyView profile

Professor

• Physical Oceanography
• Coastal Processes
• Marine Ecosystem Dynamics
• +3 more

Steve Morey is a Professor of Environmental Studies at Florida A&M University. His research focuses on shelf processes, coastal upwelling, estuarine connectivity, and circulation dynamics in the Gulf of Mexico. He employs observational data and numerical models to investigate physical oceanographic phenomena, with interdisciplinary collaborations in marine ecology, meteorology, and computational science. Current projects include studies on estuarine systems, fisheries impacts, and air-sea interactions. Education: Not explicitly listed in provided texts. Research Interests: Key areas include Gulf of Mexico circulation (Loop Current dynamics, mesoscale eddies), topographic Rossby waves, oil spill modeling (e.g., Deepwater Horizon), and coupled physical-biogeochemical processes. His work emphasizes numerical simulations, remote sensing applications, and the integration of physical oceanography with biological and ecological systems. Key Projects: Development of the CSOMIO coupled ocean-oil-sediment-biology model, assessment of Loop Current predictability, and investigations into slope currents and topographically trapped waves. He has contributed to understanding mercury transport in the Gulf of Mexico and storm surge modeling. Labs/Teams: Affiliated with the Center for Ocean-Atmospheric Prediction Studies (COAPS) at Florida State University, evidenced by his email domain (coaps.fsu.edu). Collaborations span academic, government (NOAA), and industry partners.

Xiaoli LiView profile

Associate Professor

• Unconventional Reservoirs
• Gas Transport in Porous Media
• Phase Behavior Thermodynamics
• +3 more

Dr. Xiaoli Li is an Associate Professor in the Department of Chemical and Petroleum Engineering at the University of Kansas. Her research laboratory (PVT Lab) focuses on complex fluid behavior in energy systems, with particular emphasis on phase equilibria, gas transport phenomena, and enhanced hydrocarbon recovery techniques. She maintains active research programs in unconventional reservoirs, CO 2 geostorage, hydrate technology, and nanoscale fluid dynamics. Her core research domains include: Confined phase behavior: Thermodynamics of fluids in nanoporous media Gas transport mechanisms: Rarefied flow and apparent permeability modeling Hydrate science: Structure stability and phase boundaries CO 2 utilization: Enhanced oil recovery and geological sequestration Asphaltene dynamics: Precipitation mechanisms in EOR processes Dr. Li teaches across the petroleum engineering curriculum, including core courses: Chemical Engineering Thermodynamics (C&PE 221), Reservoir Engineering (C&PE 327), Well Logging (C&PE 528), and Petroleum Engineering Design (C&PE 628). Her instructional portfolio emphasizes fundamental thermodynamics, reservoir characterization, and practical field applications. Her publication record (35+ articles) demonstrates consistent focus on reservoir thermodynamics and transport phenomena, with recent emphasis on: CO 2 -oil interactions (2020-2023), gas hydrate stability (2020-2022), shale gas transport (2019-2021), and equation of state modifications for confined fluids (2018-2020). Research methodologies combine molecular simulations, experimental studies, and novel thermodynamic modeling approaches.

Eric Josef Ribeiro ParteliView profile

Researcher

• Geophysics
• Computational Geosciences
• Granular Physics
• +4 more

Dr. Eric Parteli is a Heisenberg Group Leader at the Faculty of Physics, University of Duisburg-Essen , with affiliations to the University of Cologne (Computational Geosciences) and The University of Alabama . He leads research on Earth surface particulate materials and their dynamics under wind, fluvial processes, and gravitational forces. Current and former students include PhD candidates, Master/Bachelor candidates, and research assistants like Cong Jiang , Maria Determann , Mateusz Kryger , and Joel Jankowiak . His group develops computational tools to model particle interactions and feedbacks with geomorphology, biosphere, and atmosphere across scales, with applications in climate science, planetary geophysics, and natural hazard risk assessment. Key research themes include aeolian processes , hydrological modeling , granular material behavior , and coupled Earth surface systems . No scientific awards are explicitly mentioned in the provided texts. His lab operates from Room MG 364 at the University of Duisburg-Essen and collaborates with the Computational Geosciences department at the University of Cologne. Recent publications highlight anomalous scaling in sand transport , angle of repose modeling , and regional hydrological systems in arid environments.

Boris KausView profile

Professor

• Geodynamics
• Lithospheric Deformation
• Numerical Modeling
• +5 more

Boris Kaus is a Full Professor and Chair of Geophysics and Geodynamics at the Institute of Geosciences, Johannes Gutenberg University Mainz, Germany. His research focuses on understanding geological processes from grain scale to planetary scale using mathematical and numerical models. Funded by the German Research Foundation, European Research Council, and BMBF, his work spans lithospheric deformation, melt migration, fold-and-thrust belts, and high-performance computing applications in geosciences. His research interests center on geodynamic modeling of lithospheric processes, including subduction zones, mantle convection, and crustal deformation. Kaus develops novel numerical approaches to simulate complex geological phenomena, with emphasis on coupling between erosion, lithosphere dynamics, and mantle flow. His group creates specialized software for high-performance computing systems to tackle multi-scale geophysical problems. His scientific awards include the Paul Niggli Medal, EGU Arne Richter Award, multiple ERC grants (Starting, Proof-of-Concept, Consolidator), and the Carl Friedrich Gauss Lecturer honor. He has received recognition for editorial contributions including G-Cubed's Excellence in Refereeing award. ERC Consolidator Grant MAGMA (2018-2023) ERC Proof of Concept Grant SALTED (2016-2017) ERC Starting Grant MODEL (2010-2015) John von Neumann Excellence Project for HPC ETH Medal for Ph.D. thesis Kaus actively supervises graduate students and leads research projects funded by major European and German agencies. His group develops open-source software like GeophysicalModelGenerator.jl and maintains strong collaborations with international institutions including ETH Zürich and USC. Current projects focus on magma dynamics, lithospheric shear localization, and the development of advanced numerical methods for geodynamic simulations. The research group operates within the Geodynamics & Geophysics team at JGU Mainz, utilizing high-performance computing resources and collaborating with multiple European research initiatives including IMPRS and FORTHEM networks. Their laboratory specializes in numerical modeling of Earth systems with applications to tectonics, volcanology, and crustal evolution.

Alexandre BarretoView profile

Associate Professor

• Cybersecurity
• Transportation Security
• Network Security
• +5 more

Alexandre Barreto serves as an Associate Professor in the Department of Cyber Security Engineering at George Mason University, specializing in cybersecurity applications for transportation systems and critical infrastructure. His work integrates air traffic management expertise with advanced security protocols to address defense and infrastructure vulnerabilities. Education PhD, Instituto Tecnológico de Aeronáutica, Brazil Barreto's research centers on transportation security (particularly aviation), cyber impact assessment, and blockchain applications for critical infrastructure. He develops secure protocols for air traffic systems like ADS-B and creates decision support frameworks for defense scenarios. His methodology combines machine learning, network security, and risk modeling to enhance resilience in smart grids and urban air mobility systems. Analysis of his 15 most recent publications reveals dominant themes in aviation cybersecurity (ADS-Bsec frameworks, Cyber-ARGUS), energy infrastructure protection (SIAD-AERO), and blockchain integration for air traffic management. Over 60% of his work focuses on securing air traffic surveillance systems, while emerging research explores carbon emissions prediction and deep space navigation applications. Advising and Grants No specific student advisement records or grant funding details were documented in the source material, though his classroom activities span graduate and undergraduate cybersecurity education.

James M Martin-HaydenView profile

Associate Professor

• Hydrogeology
• Groundwater Modeling
• Environmental Geology
• +3 more

James M Martin-Hayden serves as an Associate Professor in the Department of Earth, Ecological and Environmental Sciences within the College of Natural Sciences and Mathematics at the University of Toledo. With over 25 years of service at the institution, he has established himself as a prominent hydrogeologist specializing in groundwater systems and environmental geology. Education: B.A. from University of Maine, M.S. and Ph.D. from University of Connecticut (1994) Current Position: Associate Professor of Geology Department: Earth, Ecological and Environmental Sciences University: University of Toledo Dr. Martin-Hayden's research focuses on hydrogeology, with particular emphasis on groundwater-surface water interactions in wetland ecosystems, numerical groundwater modeling, and hydrogeologic field methods. His work primarily investigates the Oak Openings Region of northwest Ohio, examining how drainage modifications have altered natural groundwater flow regimes that support wet prairies. He has made significant contributions to understanding wellbore flow dynamics, groundwater sampling methodologies, and the impacts of evapotranspiration on groundwater recharge. His research integrates field observations, numerical modeling, and geophysical techniques to address complex hydrogeological problems. Analysis of Dr. Martin-Hayden's publication record reveals a consistent research trajectory focused on hydrogeological systems, particularly in the Great Lakes region. His work spans from fundamental investigations of wellbore flow dynamics to applied studies of regional aquifer systems and wetland hydrology. Recent publications demonstrate increasing integration of geophysical methods with traditional hydrogeological approaches, reflecting an evolution toward more comprehensive characterization of complex subsurface systems. His research shows particular strength in addressing the hydrological impacts of human modifications to natural systems, especially in wetland ecosystems. Dr. Martin-Hayden has mentored several students, including Lucas Groat (thesis on Hydrogeology of Wet Prairies) and Pryanka More (undergraduate thesis on Influences of ET on Groundwater Recharge). His collaborative work shows strong connections with researchers including Timothy G. Fisher, Kennedy Okioghene Doro, and Richard H. Becker, indicating active participation in research networks focused on Great Lakes geology and hydrogeology.

Stefan Thor SmithView profile

Professor

• Energy Systems
• Urban Energy Modeling
• Climate Resilience
• +3 more

Professor Stefan Thor Smith is a distinguished academic at the University of Reading , serving as a Professor in the Department of Energy and Environmental Engineering . His work bridges energy systems with urban sustainability , focusing on the integration of social and technical aspects of energy demand , urban energy system modeling , and climate change resilience . Academic Qualifications Postgraduate Certificate in Academic Practice (University of Reading, 2016) PhD in Built Environment (University of Nottingham, 2009) MSc in Computer Science (University of Glasgow, 2002) BSc in Physics (University of Nottingham, 2001) His research interests span the dynamics of energy demand in socio-technical systems, urban heat fluxes, pollution exposure modeling, and climate adaptation strategies. He has developed novel models for energy demand-side management , building environmental control , and urban climate interactions . Recent publications highlight his expertise in areas such as EV charging infrastructure , urban tree radiative performance , phase change material storage , and anthropogenic heat emissions . His work often involves interdisciplinary collaborations with institutions like the Centre for Research into Energy Demand Solutions and the Institute of Physics . Smith supervises a diverse group of postgraduate students and contributes extensively to teaching modules including Numerical Modelling and Programming and Urban Sustainability . His professional affiliations include the Institute of Physics , International Association of Urban Climatology , and the Higher Education Association .

Fabiano PallonettoView profile

Professor

• Smart Grids
• Sustainable Mobility
• Energy Systems Optimization
• +3 more

Fabiano Pallonetto is a Professor at Maynooth University's School of Business, with affiliations to the Hamilton Institute and Innovation Value Institute (IVI). He combines academic research with industry experience in energy, IT, and transport sectors. Role: Professor Location: Room 314, Maynooth University Contact: Fabiano.Pallonetto@mu.ie His research focuses on smart grid integration, energy system optimization, and sustainable development. Key projects include: NexSys (Funded Investigator): Developing net-zero energy pathways FLOW (Principal Investigator): Flexible EV-grid integration RES4CITY (Coordinator): Workforce upskilling for renewables Recent publications analyze energy flexibility software, deep learning optimization models, phase change materials for thermal storage, and blockchain security frameworks. His work spans smart cities , renewable integration , and AI-driven energy systems . Student Supervision: Currently advising MR B. Mohseni-Gharyehsafa (PhD research).

• Superconductivity
• Mesoscopic Phenomena
• Quantum Electronics
• +3 more

Prof. Vladimir Krasnov is a leading researcher in Experimental Condensed Matter Physics at Stockholm University , focusing on mesoscopic superconductivity, Josephson junctions, and nanoscale quantum phenomena. He heads the Experimental Condensed Matter Physics Group since 2005. Department: Department of Physics Lab: EKMF Lab (SU-KTH collaboration) Key Methodologies: Pulsed laser deposition, FIB nanofabrication, cryogenic measurements (0.25-300 K), THz spectroscopy Research Themes: His work bridges fundamental superconductivity studies (high-Tc cuprates, iron-pnictides) with applied quantum electronics. Notable contributions include Developing vortex-based cryogenic memory Controllable spin-triplet supercurrents in magnetic junctions THz emission from intrinsic Josephson stacks Quantum phase transitions via electrical doping Magnetic field effects on mesoscopic systems Scientific Trends: Analysis of 15 recent publications reveals strong emphasis on Josephson vortex dynamics, superconducting/ferromagnetic hybrid systems, THz applications, and non-equilibrium phenomena in quantum circuits. Facilities: Utilizes Nano-Fab clean-room for sample engineering and Low-T lab for high-field (17T), cryogenic experiments.

• Internet of Things
• Fog Computing
• Edge Computing
• +9 more

Amirhosein Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, dependability, mobility and data-intensiveness of distributed systems for emerging computing technologies including Internet of Things (IoT), Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). Dr. Taherkordi received his Ph.D. from the Informatics Department at the University of Oslo under the supervision of Prof. Frank Eliassen, with his thesis titled "Programming Wireless Sensor Networks: From Static to Adaptive Models." He holds an M.Sc. in Information Technology Engineering (Software Engineering) from University of Science and Technology and a B.Sc. in Computer Engineering from Sharif University of Technology. His research spans multiple domains of distributed systems with emphasis on practical applications. He investigates energy efficiency in wireless sensor networks, communication optimization in IoT systems, and adaptive resource allocation in edge computing environments. His work addresses critical challenges in network traffic classification, federated learning for vehicular networks, and data processing across heterogeneous platforms. Analysis of his recent publications reveals a strong trajectory toward communication-efficient federated learning techniques for vehicular networks, energy-aware protocols for IoT data collection, and advanced machine learning approaches for network traffic analysis. His research consistently focuses on optimizing resource usage while maintaining system performance and privacy in distributed architectures. Dr. Taherkordi actively contributes to several research initiatives including the CPS Lab at UiO for Cyber Physical Systems, DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems, and the Gemini Centre on IoT at UiO. His work bridges theoretical advances with practical implementations in transportation systems, environmental monitoring, and industrial automation.

• Renewable Energy
• Solar Thermal Energy
• Energy Storage
• +9 more

Dr Leok Lee is a Lecturer in the School of Electrical and Mechanical Engineering at the University of Adelaide . He is also an active member of the Centre for Energy Technology , contributing to cutting-edge research in renewable energy systems. Research Interests: Renewable energy systems, with a focus on solar thermal energy and energy storage. System integration and optimisation of complex transient energy systems. Computational fluid dynamics (CFD) and experimental design for energy applications. Decarbonisation of heavy industry through clean energy technologies. His research spans from fundamental studies in heat transfer and fluid mechanics to applied engineering solutions for decarbonising industrial processes. He has led and contributed to projects funded by ARENA and HILT CRC, targeting the integration of concentrated solar thermal energy into industrial applications such as the Bayer Alumina process. Supervision & Mentorship: Dr Lee is eligible to supervise Masters and PhD students and actively mentors undergraduate, Masters, and PhD candidates. He encourages prospective students to contact him via email to discuss research opportunities. Contact: Email: leok.lee@adelaide.edu.au Location: Room 3, Engineering South, North Terrace Campus

• Environmental Engineering
• Drinking Water Treatment
• Aquatic Chemistry
• +4 more

Greg Harrington is a Professor in the Civil & Environmental Engineering Department at the University of Wisconsin–Madison, College of Engineering. His work focuses on drinking water treatment and distribution systems, including pathogen removal, disinfectant decay modeling, and energy efficiency improvements. He has contributed to regulatory frameworks and industry partnerships, notably aiding Madison Water Utility in operational enhancements. PhD, University of North Carolina at Chapel Hill (1997) MS, University of North Carolina at Chapel Hill (1987) BS, Chemical Engineering, Stanford University (1984) Research interests span waterborne pathogen removal , disinfectant decay modeling , energy use reduction , and water loss mitigation . Recent publications emphasize mathematical modeling of disinfection processes, microbial community analysis , and pedagogical innovations in environmental engineering education. 2021 AWWA Water Science Best Paper Award 2020 Harvey Spangler Award for Innovative Teaching 1999 NSF CAREER Award Multiple AWWA and university-level teaching and research recognitions Harrington has integrated professional engineers and community partners into curricula, influencing national capstone design standards. His service includes leadership roles at Madison Water Utility and the Pieper Family Foundation Endowment for Servant Leadership.

• Atmospheric aerosol physical and chemical processes
• Aerosol nucleation
• Aerosol measurement and characterization techniques
• +2 more

Chongai Kuang is an Assistant Scientist in the Atmospheric Sciences Division at Brookhaven National Laboratory, currently serving in the Environmental Science and Technologies Department. His research focuses on atmospheric aerosol physical and chemical processes, with particular expertise in aerosol nucleation and instrumentation development for detecting sub-1 nm particles. Education: Ph.D. in Chemical Engineering (major) & Nanoparticle Science and Technology (minor) - University of Minnesota, Minneapolis B.S. in Chemical Engineering (major) & Chemistry (major) - University of California, Berkeley Research Interests: Dr. Kuang's work is broadly bounded by the study of atmospheric aerosol physical and chemical processes, with specific focus on aerosol nucleation mechanisms and the development of advanced instrumentation capable of detecting newly formed particles down to below 1 nm. His current scientific efforts concentrate on developing microphysical-based parameterizations for aerosol nucleation and initial growth processes, integrating findings from intensive field campaigns and controlled laboratory experiments into large-scale atmospheric models. Research Methodology: His approach combines extensive field campaign participation with sophisticated laboratory experiments, utilizing state-of-the-art instrumentation to characterize aerosol properties across diverse environments including marine boundary layers, Amazon rainforest, Antarctic regions, and urban atmospheres. Scientific Recognition: 2012: American Association for Aerosol Research (AAAR) Sheldon K. Friedlander Award - recognizing outstanding contributions to aerosol science and technology Professional Service: Dr. Kuang actively contributes to the scientific community through various roles including proposal review for the German Science Ministry, journal review for Atmospheric Chemistry & Physics, membership in the Young Investigators Committee for AAAR, and co-leadership of the New Particle Formation Focus Group in the ASR Aerosol Life Cycle Working Group. He holds memberships in the American Geophysical Union, American Association for Aerosol Research, and American Institute of Chemical Engineers. Laboratory and Facilities: Dr. Kuang is based at Brookhaven National Laboratory's Environmental Science and Technologies Department, located in Building 815E, Room 1-45, where he conducts his cutting-edge research in atmospheric aerosol science.

Cheng HuangView profile

Assistant Professor

• Computational Fluid Dynamics
• Aerospace Propulsion
• Data-driven Modeling
• +3 more

Cheng Huang is an Assistant Professor in the Department of Aerospace Engineering at the University of Kansas. His research focuses on computational fluid dynamics, aerospace propulsion, turbulent combustion modeling, and reduced-order modeling techniques. He is affiliated with the Computational AeroPropulsion Laboratory and can be contacted at chenghuang@ku.edu. Education: B.S. from Shanghai Jiaotong University M.S. and Ph.D. from Purdue University Research Interests: LES Modeling of Turbulent Reacting Flows Data-Driven and Reduced-Order Modeling of Complex Fluid Flows Combustion Instability Analysis in Aerospace Propulsion Recent Work Trends: His publications emphasize reduced-order modeling techniques for rocket combustion dynamics, rotating detonation engines, and multiscale fluid systems. Key methodologies include projection-based models, data-driven approaches, and nonlinear approximations of latent dynamics.