جست‌وجوی استاد و پژوهشگر

Jack Dennyمشاهده پروفایل

مدرس

• Blast effects on structures
• Blast injury modelling
• Complex blast propagation
• +۳ مورد دیگر

Dr. Jack Denny is a Lecturer in Structural Engineering at the University of Southampton's School of Engineering. His research focuses on blast effects on structures, blast injury modeling, and urban blast resilience, combining experimental testing and computational modeling. He holds a PhD from the University of Southampton (2017) and an EPSRC Doctoral Prize Fellowship. His work involves collaborations with institutions like the University of Cape Town and the American University of Beirut, addressing urban explosion challenges through interdisciplinary projects. Key research initiatives include co-founding the International Blast Injury Research Network (IBRN) and leading studies on the 2020 Beirut Blast's spatial and contextual impacts. He also investigates novel sensing technologies for blast loading measurement via Royal Society-funded projects. Teaching responsibilities span structural design, mechanics, and engineering fundamentals. Notable contributions include forensic engineering analyses of mass casualty events and development of sheltering guidelines for explosive threats. His work bridges engineering, medicine, and policy to enhance urban resilience against blast threats.

Majid Nazemمشاهده پروفایل

استاد

• Geotechnical Engineering
• Computational Mechanics
• Finite Element Analysis
• +۶ مورد دیگر

Professor Majid Nazem is a faculty member in the School of Engineering at RMIT University, specializing in Geotechnical Engineering. His research focuses on Computational Geomechanics, Finite Element Methods, Meshless Analysis, and Offshore Geomechanics. He has contributed to advancements in numerical modeling, soil-structure interaction, and dynamic soil behavior. Professor Nazem holds several notable awards, including the Manby Prize (2012) and the D.H. Trollope Medal (2006). His teaching expertise spans Geomechanics, Finite Element Analysis, and Engineering Mechanics. He actively supervises PhD and Master's students in areas like AI-driven geotechnical analysis and multi-phase media modeling. His work integrates machine learning with traditional geotechnical methods, addressing challenges in infrastructure maintenance and slope stability. Awards and Fellowships: Manby Prize by the Institution of Civil Engineers, UK (2012) Outstanding Reviewer Award by Elsevier (2012) Research Fellowship, The University of Newcastle, Australia (2009) The D.H. Trollope Medal by Australian Geomechanics Society (2006) Research Prize by Faculty of Engineering and Built Environment, The University of Newcastle (2005) Teaching and Supervision: Professor Nazem teaches courses in Geomechanics, Stress Analysis, and Engineering Computations. He supervises research projects focusing on computational geomechanics, meshless methods, and AI applications in geotechnical engineering. Recent projects include predicting soil behavior under dynamic conditions and optimizing tram track maintenance using machine learning. Research Trends: His recent articles emphasize machine learning integration in geotechnical analysis, dynamic seabed penetrators, and slope stability predictions. Key themes include surrogate modeling for tunnel stability, seismic collapse load analysis, and parameter identification using AI frameworks.

• Bio-inspired structures
• Construction materials
• Energy absorption of structures and materials
• +۴ مورد دیگر

Dr. Ngoc San Ha is a Lecturer in the School of Engineering at RMIT University, specializing in Civil and Infrastructure Engineering. He holds a PhD in Structural Mechanics from Konkuk University (South Korea, 2014). Previously, he served as a Sessional Lecturer at La Trobe University and a Research Fellow at Swinburne and Curtin Universities. He is a member of RMIT's Centre for Innovative Structures and Materials (CISM), led by ARC Laureate Fellow Mike Xie. Dr. Ha's research focuses on bio-inspired structures, construction materials, and energy absorption mechanisms. He has published over 40 peer-reviewed articles, including highly cited works in Composite Part B and Journal of Bionic Engineering , and has received two best-paper awards for biomimetic research. His work spans metamaterials, advanced composites, and structural analysis under extreme conditions. Education: PhD in Structural Mechanics (Konkuk University, 2014). Grants: Involved in ARC Linkage Projects and NSF China initiatives. Editorial Roles: Guest editor of International Journal of Protective Structures and topic editor at Materials . He supervises Masters and PhD students and contributes to cutting-edge research in structural innovation through CISM.

Jacopo Buongiornoمشاهده پروفایل

استاد

• Nuclear Energy
• Small Modular Reactors
• Microreactors
• +۶ مورد دیگر

Jacopo Buongiorno is the Battelle Energy Alliance Professor of Nuclear Science and Engineering at MIT, serving as Director of the Center for Advanced Nuclear Energy Systems (CANES) and Director of Science and Technology at the MIT Nuclear Reactor Laboratory. His affiliations include MIT's School of Engineering and the Department of Nuclear Science and Engineering. He is a member of the U.S. National Academy of Engineering (2024) and a Fellow of the American Nuclear Society (ANS). His research focuses on advanced nuclear reactor design, reactor thermal-hydraulics, and safety. Notable projects include developing offshore floating nuclear power plants, nuclear batteries, and the Future of Nuclear Energy in a Carbon-Constrained World study. Buongiorno has published over 110 journal articles and holds patents in nuclear applications, including nanofluids and ultra-low thermal-conductivity materials for diving suits. He teaches courses in thermo-fluids and nuclear reactor engineering, receiving awards like the MIT MacVicar Faculty Fellowship (2014) and ANS Landis Award (2011). His advisory roles include the U.S. Secretary of Energy's Space Working Group and the Naval Studies Board. Key collaborations involve Core Power, Idaho National Laboratory, and projects like Taiwan’s Innovative Green Economy Roadmap (TIGER). Buongiorno’s work emphasizes nuclear innovation for decarbonization, with contributions to hydrogen production, microreactors, and nuclear energy policy. His labs and teams, such as CANES, drive transformative technologies for global energy challenges.

Shaolei Gaiمشاهده پروفایل

پژوهشگر

• Multiphase Flow
• Energy Storage
• Heat and Mass Transfer
• +۳ مورد دیگر

Dr. Shaolei Gai is a Researcher at the School of Engineering, University of Newcastle, Australia. His work focuses on multiphase flow dynamics, energy storage systems, and heat/mass transfer phenomena. He holds a PhD in Chemical Engineering (2021) from the University of Newcastle, preceded by Bachelor and Master degrees in Aeronautical Engineering from Shenyang Institute of Aeronautical Engineering, China. Since 2022, he has been affiliated with the Priority Research Centre for Energy Technologies & Utilisation. Research interests include computational fluid dynamics (CFD), energy conversion technologies, and ultrasonic-driven phase change processes. His recent work explores hybrid buoyancy-compressed air energy storage systems and the role of cavitation bubbles in ice nucleation. He has contributed to experimental and theoretical studies on multiphase flow in microreactors and slurry systems. Publications highlight innovations in energy storage efficiency, bubble dynamics under ultrasonic fields, and lattice Boltzmann modeling of freezing processes. Collaborations with industry and cross-disciplinary teams underscore his focus on practical applications of fundamental research.

Stefan Gumholdمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Medical Imaging
• +۳ مورد دیگر

Professor Stefan Gumhold is a leading academic in computer graphics and visualization at TU Dresden. He has held roles including Head of the Chair for Computer Graphics and Visualization since 2005 and served as Dean of the Faculty of Computer Science from 2010 to 2012. His expertise spans visualization techniques, medical imaging, and immersive technologies. Gumhold earned his Ph.D. in 2000, focusing on mesh compression, and later received a Dissertation Award in the same year. He has contributed to projects like the Heisenberg Scholar Research Group and led the Kommission Umwelt at TU Dresden. His teaching includes courses such as Introduction to Computer Graphics, Data Visualization, and Scientific Visualization. Gumhold’s research emphasizes visualization platforms (e.g., ISAAC), image fusion, and neural network applications in medical diagnostics. His work often integrates virtual reality for data analysis, as seen in tools like VRCellLabeler and ExtremeWeatherVis. Education: Diploma in Computer Science (University of Tübingen, 1998), M.Sc. in Applied Physics (University of Massachusetts Boston, 1996). Research Highlights: Development of visualization frameworks, 3D reconstruction, and invertible neural networks for outlier detection. Awards: Dissertation Award 2000. Grants & Labs: Leadership in TU Dresden’s Computer Graphics lab and contributions to collaborative research projects like Fast-Haptic.

Wael H. Ahmedمشاهده پروفایل

استاد

• Multiphase Flow Analysis
• Thermo-Fluid Dynamics
• Energy Systems
• +۴ مورد دیگر

Dr. Wael H. Ahmed is a Professor at the University of Guelph's Department of Mechanical Engineering. His research focuses on multiphase flow analysis for energy, water, and food systems, including thermo-fluid dynamics of mechanical systems. He teaches undergraduate courses such as Fluid Mechanics, Thermodynamics, and Heat Transfer, and graduate courses on phase change heat transfer and two-phase flow. His research lab, the Flow, Energy and Dynamics Solution (FEADS) lab, collaborates with industry to develop sustainable solutions for mechanical systems, addressing fluid-structure interaction challenges. Current projects involve optimizing airlift pumps for aquaculture, biogas production, and CO2 capture. Dr. Ahmed emphasizes hands-on learning, engaging students in real-world engineering problems through 'Learning by Doing' initiatives. Key research areas include multiphase flow dynamics, two-phase flow instabilities, and energy-efficient technologies. He has developed innovative pumping systems and sensors for industrial applications, such as the FloNergia airlift pump commercialized with academic-industry partnerships. His work integrates computational fluid dynamics (CFD), experimental validation, and machine learning for flow pattern identification. Recent projects explore applications in nuclear power plant safety, catalytic converter flow analysis, and sustainable energy systems design.

Gianluigi Rozzaمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Fluid Dynamics
• Scientific Computing
• +۶ مورد دیگر

Gianluigi Rozza is a Full Professor in Numerical Analysis and Scientific Computing at SISSA (International School for Advanced Studies) in Trieste, Italy. He leads the SISSA mathLab research group and serves as Coordinator of the Mathematics Area at SISSA. He holds roles such as SISSA Director's Delegate for Innovation and Knowledge Transfer and member of various committees including the SISSA HPC Committee and SIAM Student Chapter. His research focuses on numerical analysis, computational fluid dynamics, reduced order methods (ROM), and their applications in engineering and biomedical fields. Education: Laurea cum Laude in Aerospace Engineering from Politecnico di Milano (2002), PhD in Applied Mathematics from EPFL (2005). Postdoctoral research at MIT (2006-2008), followed by roles at EPFL and SISSA. He has supervised over 30 PhD and Master’s students, with expertise in reduced order modeling and computational mechanics. Research Interests: Reduced basis methods, parametrized PDEs, fluid-structure interaction, cardiovascular simulations, environmental flows, machine learning integration, and industrial collaborations with companies like Danieli and Fincantieri. He coordinates EU projects such as the ERC Consolidator Grant AROMA-CFD (2016-2021) and the ITN ROMSOC project. Publications: Over 90 scientific papers, two books as editor, and contributions to open-source software like rbMIT and ITHACA-FV. Awards include the ECCOMAS Young Investigator Award (2014), SIAM Fellowship (2025), and the Gili Agonistelli Prize (2025). Grants and Projects: Principal Investigator of ERC AROMA-CFD and ARGOS PoC. Coordinates regional projects like UBE (Under Water Blue Efficiency) and TRIM. Engages in environmental modeling (e.g., SOPHYA, PRELICA) and industrial collaborations under MAR tc FVG. Labs/Teams: SISSA mathLab develops open-source tools for computational science, including ROM libraries and fluid dynamics solvers. Active in organizing workshops, serving on editorial boards (e.g., SIAM Journals), and advisory roles for agencies like ARPA FVG.

Lubna Alazzawiمشاهده پروفایل

دانشیار

• Intelligent Transportation Systems
• IoT Security
• Cybersecurity of Connected and Autonomous Vehicles (CAVs)
• +۳ مورد دیگر

Lubna Alazzawi is an Associate Professor (Teaching) in the Department of Electrical and Computer Engineering at Wayne State University. Her research focuses on intelligent transportation systems, IoT security, and cybersecurity of connected and autonomous vehicles. She has been recognized for her teaching excellence with multiple awards from the College of Engineering. Alazzawi teaches courses such as Basic Engineering Design, Electronics, and Capstone Design projects. Her research interests include smart sensors, wireless sensor networks, real-time embedded systems, and healthcare monitoring systems. Recent work emphasizes vehicular safety systems using AI and sensor fusion technologies to address challenges like pediatric vehicular heatstroke and driver monitoring. Awards: Excellence in Teaching Award (2023-2024) Excellence in Teaching Award (2016-2017) Teaching: Fall 2025: BE1200, ECE3570, ECE4600 Winter 2025: BE1200, ECE3570 Previous terms: ECE3300, ECE3570 Research Trends: Integration of AI and IoT for automotive safety Cybersecurity frameworks for connected vehicles Real-time sensor systems for healthcare and transportation Her work bridges theoretical advancements with practical applications in smart infrastructure and embedded systems, emphasizing interdisciplinary approaches to modern engineering challenges.

• Heat Transfer
• Fluid Dynamics
• Thermal Engineering
• +۳ مورد دیگر

Antti Mikkonen is a Civil Engineering Doctoral Researcher at the University of Tampere, affiliated with the School of Engineering Sciences and Department of Civil Engineering. He holds a Master of Science (Technology) in Environmental Engineering (2013) and a Lower-Degree Level Tertiary Education in Technology (2013). His research focuses on heat transfer, fluid dynamics, and thermal engineering applications, contributing to sustainable energy systems and materials science. Key research interests include computational fluid dynamics (CFD), flow characteristics of tube banks, impinging jet dynamics, and thermal stress analysis in materials like solar panels and glass. He has published extensively since 2014, addressing topics such as structural integrity assessment using environmental data and glass tempering processes. His work aligns with UN Sustainable Development Goals related to education and environmental sustainability. Mikkonen has presented at international conferences, including a 2016 conference on impinging jet heat transfer. His research emphasizes practical engineering solutions and environmental applications, though no specific awards or grants are noted in the provided information.

Ben Thornberمشاهده پروفایل

استاد

• Fluid Dynamics
• Turbulence
• Combustion
• +۶ مورد دیگر

Ben Thornber is a Professor of Thermofluids in the School of Mechanical and Aerospace Engineering at Queen’s University Belfast. He previously served as Associate Dean Research for the Faculty of Engineering at the University of Sydney, leading research strategy and equity initiatives. His research focuses on fundamental challenges in flow, turbulence, and combustion, with applications to rotorcraft, scramjets, wind turbines, and automotive aerodynamics. He has developed advanced numerical models and methods, attracting significant research funding from councils and industry. Thornber is a Fellow of the Royal Aeronautical Society and actively promotes outreach, including collaborations with the Science Museum and ABC News. His group’s work spans high-speed propulsion, turbulent mixing, and aerodynamic optimization, with notable contributions to Richtmyer-Meshkov instability studies and detached-eddy simulations. Thornber holds a PhD from the University of Sydney and has supervised numerous students, including alumni like Dr. Michael Groom (CSIRO Fellow) and Dr. Zeeshan Rana (Cranfield University Senior Lecturer). His research portfolio includes over 60 peer-reviewed articles, with recent emphasis on spherical implosions, actuator surface modeling, and wind farm aerodynamics. He advocates for diversity in STEM, particularly encouraging underrepresented groups to pursue PhDs in fluid dynamics and CFD. Education: PhD in Aerospace Engineering (University of Sydney) Affiliations: Royal Aeronautical Society Fellow, European Space Research Technology Centre (ESTEC) Key Projects: LUMEN Demonstrator Heat Transfer, Ship-Helicopter Dynamic Interface Modeling, DLR Collaborations His scientific outreach includes media appearances and educational initiatives, emphasizing public engagement in engineering and fluid dynamics. Current research trends highlight compressible mixing, turbulence modeling, and high-performance CFD solver development for industrial and aerospace applications. Grants & Awards: Athena Swan Bronze Award contributor, Multi-million-pound research funding from industry and councils

Michael Meisterمشاهده پروفایل

استاد

• Wastewater Treatment Plant Modeling
• Numerical Flow Simulation
• Smoothed Particle Hydrodynamics (SPH)
• +۳ مورد دیگر

Michael Meister is a Professor at MCI – The Entrepreneurial School, holding a position in the Department of Environmental, Process & Energy Technology. He has held roles including Junior Professor and Post-Doc researcher at Universität Innsbruck and teaching positions at Imperial College London. His research focuses on wastewater treatment plant modeling, numerical flow simulation using SPH, and hydraulic simulations. Education: PhD in Environmental Technology (University of Innsbruck), MSc in Physics (Imperial College London), BSc in Physics (University of Innsbruck). Research interests include optimizing anaerobic digester mixing efficiency, CFD applications in wastewater processes, and developing SPH-based models for environmental systems. His work bridges computational fluid dynamics with practical engineering solutions for sustainable energy and water management. Key projects include OPTIFAUL (energy-efficient mixing optimization) and SPHAUL (SPH-based digester modeling). He has received multiple teaching awards from MCI and recognition for his doctoral and undergraduate work. Advised over 15 students on topics ranging from biogas potential estimation to CFD-based energy optimization in wastewater treatment plants. Active in peer review for journals and conferences, and serves on evaluation committees for international research programs. Labs/Teams: Leads the OptiFaul research initiative and collaborates with institutions like the University of Leeds and the Austrian Research Promotion Agency.

• Marine Energy
• Tidal Energy Systems
• Wave Energy Conversion
• +۵ مورد دیگر

Professor Ian Masters is a Professor of Mechanical Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering within the Faculty of Science and Engineering. His primary research focuses on marine and tidal energy systems, including tidal turbine blade dynamics, CFD modeling of wave machines, and environmental impact analysis of marine energy sites. He co-founded the Low Carbon Research Institute Marine Consortium (LCRI Marine) in 2006, driving research into renewable energy from oceanic and riverine systems. He previously served as Financial Director of Swanturbines Ltd, a marine renewable energy company. His research interests span tidal and wave energy converters, fluid-structure interaction, and offshore engineering. Notable contributions include the development of the Remote River Energy System, a low-maintenance turbine design for remote areas, and pioneering work on flexible polymer-based materials for energy harvesting. He collaborates extensively with industry and governmental bodies, such as the Marine Energy Task Group for Wales, to advance marine energy standards and industrial relevance. Recent publications emphasize advanced modeling techniques (e.g., phase field formulations for fracture mechanics) and field studies on tidal farm interactions with coastal environments. His work bridges computational innovation with real-world applications, addressing challenges like turbine array performance, material fatigue, and energy-grid integration. He supervises PhD students exploring topics such as fatigue-resistant elastomers, structural health monitoring, and tidal turbine simulation. Professor Masters is based at the Energy Security Research Institute on Swansea’s Bay Campus and actively contributes to interdisciplinary initiatives, including the Morgan Advanced Studies Institute. His research aims to optimize renewable energy systems while minimizing environmental impacts, reflecting Swansea’s commitment to net-zero carbon futures.

• Computational Fluid Dynamics (CFD)
• Turbulent Combustion
• High Performance Computing (HPC)
• +۵ مورد دیگر

Professor Karl Jenkins is a Professor of Computational Engineering at Cranfield University , where he leads the Centre for Computational Engineering Sciences . His expertise spans Computational Fluid Dynamics (CFD) , Turbulent Combustion , High Performance Computing (HPC) , and Multiphase Flow Modeling . Jenkins has published over 100 papers and received the Gaydon Prize for his contributions to combustion research. His research focuses on reacting flows , turbulence modeling , and compressible multiphase flows , with recent work addressing green hydrogen production , aircraft component segmentation , and virtual reality applications in aviation safety. He has developed high-order numerical methods for shock wave analysis and interface-capturing in unstructured mesh environments . A former Sir Arthur Marshall Research Fellow at Cambridge University, Jenkins combines academic rigor with industrial collaboration , having worked with companies like Rolls-Royce plc , Airbus SE , and Siemens AG . He mentors research students including Yiren Tong and actively contributes to LES/DNS computational frameworks for aerospace and environmental applications .

• Advanced Casting Science and Technologies
• Computational Fluid Dynamics
• Computing, Simulation & Modelling
• +۹ مورد دیگر

Dr. Laszlo Konozsy is a Reader (Associate Professor) in Fluid Mechanics and Computational Engineering at the Centre for Computational Engineering Sciences, Cranfield University. He serves as Course Director for the MSc in Aerospace Computational Engineering, a top 5 UK program. His expertise spans computational fluid dynamics (CFD), turbulence modelling, and multiphysics simulations with industrial applications in aerospace, automotive, and energy systems. PhD in Engineering Sciences, University of Miskolc (2004) PhD in Computational Fluid Dynamics, Cranfield University (2006) His research focuses on anisotropic turbulence modelling , hybrid LES/RANS methods , micro/nanofluidics , and multiphysics simulations for aerospace and industrial processes. He pioneered acoustic streaming models for space applications and developed high-order numerical methods for incompressible flows. Dr. Konozsy has authored two Springer books on turbulence modelling, which received 72,000+ views on LinkedIn. He has over 100 publications, including 40+ peer-reviewed journals, and supervised 10+ PhD students. His work involves collaborations with the European Space Agency , Reaction Engines Ltd. , and Pangea Aerospace . Best Lecturer (Student Led Teaching Award) 2014/2015 Best Research Supervisor (Student Led Teaching Award) 2015/2016 9 awards for supervisory excellence Dr. Konozsy teaches 2500+ academic hours across institutions, emphasizing computational engineering and turbulence theory. He has established new educational frameworks and mentored award-winning students, including recipients of the Lord Kings Norton Medal and Vice-Chancellor's Prize .