جست‌وجوی استاد و پژوهشگر

Ranjeet Utikarمشاهده پروفایل

دانشیار

• Multiphase Flows
• Computational Fluid Dynamics (CFD)
• Energy Storage Systems
• +۳ مورد دیگر

Ranjeet Utikar is an Associate Professor at Curtin University's WASM School of Minerals, Energy and Chemical Engineering, within the Faculty of Science and Engineering. His research focuses on multiphase flows, computational fluid dynamics (CFD), energy storage systems, and process intensification. He is also part of the university's Office of the Provost, contributing to academic governance. His work spans diverse applications including lithium-metal battery modeling, LNG vaporization systems, and fluidized bed reactor design. Key areas of expertise include phase-field modeling, bubble dynamics, and structured packing hydrodynamics. Collaborations with industry and academia highlight his commitment to bridging theory and practical engineering solutions. His recent publications emphasize energy storage innovations, particularly in lithium battery dendrite formation, and advanced CFD techniques for multiphase systems. Ongoing projects address challenges in cryogenic surface interactions and novel reactor designs for enhanced process efficiency. Research Interests: Multiphase Flows, Energy Storage, CFD, Process Intensification Key Technologies: Phase-Field Modeling, Droplet Dynamics, 3D Printed Reactor Components

Ibuki Kusanoمشاهده پروفایل

دانشیار

• Probabilistic Optimisation of Structures
• Aerodynamics of Suspension Bridges
• Optimisation Based on Surrogate Models
• +۷ مورد دیگر

Ibuki Kusano is an Associate Professor in the Department of Industrial Engineering at IQS School of Engineering, Universitat Ramon Llull. His research is centered on structural and aerodynamic optimization of civil infrastructure, particularly long-span bridges, with a strong emphasis on probabilistic and reliability-based design methodologies. His research interests include: Probabilistic Optimisation of Structures Aerodynamics of Suspension Bridges Optimisation Based on Surrogate Models Co-Kriging Computational Fluid Dynamics (CFD) Reliability-Based Design Optimization His recent publications demonstrate a consistent focus on integrating advanced computational techniques—such as machine learning, surrogate modeling, and CFD—with structural engineering to improve the safety, efficiency, and performance of bridge systems. The research trends highlight a shift toward data-driven and probabilistic frameworks for predicting wind-induced responses, flutter stability, and energy generation in offshore wind farms. His scientific contributions have been supported by research grants from AGAUR (Agència de Gestió d'Ajuts Universitaris i de Recerca) through the GEPI research group. He is actively involved in interdisciplinary projects such as offshore wind farm data analysis using machine learning for energy prediction. While no formal awards are listed, his h-index of 7 and 325 citations reflect a solid research impact. Kusano contributes to academic training through the Master’s and Bachelor’s programs in Industrial Engineering at IQS, and his work is conducted within the GEPI – Industrial Products Engineering Group, which focuses on additive manufacturing, reverse engineering, and material characterization.

Drazen Dujicمشاهده پروفایل

دانشیار

• Power Electronics
• Medium-Voltage Systems
• Electrical Energy Conversion
• +۳ مورد دیگر

Drazen Dujic is an Associate Professor and Head of the Power Electronics Laboratory at École Polytechnique Fédérale de Lausanne (EPFL). He holds a PhD from Liverpool John Moores University (2008) and prior industry experience at ABB Switzerland Ltd (2009–2014). His research focuses on high-power electronic systems and medium-voltage applications, including energy conversion, storage, and renewable integration. He has authored over 200 publications and 22 patents. Education: PhD in Electrical Engineering (Liverpool John Moores University, 2006–2008), MSc and Dipl.Ing. in Power Electronics (University of Novi Sad, Serbia, 1996–2005). Awards: Istvan Nagy Award (2021), EPE Outstanding Service Award (2018), Isao Takahashi Power Electronics Award (2014). Teaching: Courses include Power Electronics, Industrial Electronics, and Renewable Energy Applications. PhD Supervision: Current advisees include Amin Darvishzadeh, Max Dupont, and others; past students include Miodrag Basic and Daniel Biner. His research emphasizes medium-voltage systems, resonant converters, and grid integration technologies. Key projects include advanced DC power distribution networks and high-efficiency MVDC converters. He actively contributes to IEEE PELS committees and serves as Director of the Doctoral Program in Energy at EPFL.

• Fluid Machinery
• Renewable Energy Systems
• Hydrogen Combustion
• +۴ مورد دیگر

Sergio Mario Camporeale is a Full Professor at Politecnico di Bari and Director of the Master of Science in Mechanical Engineering. He is affiliated with the Department of Mechanics, Mathematics & Management, where his research focuses on advancing sustainable energy technologies. His work bridges experimental investigations and computational modeling to address challenges in renewable energy deployment. Research interests center on fluid machinery, hydrogen combustion, thermal energy storage, and renewable energy systems. Key areas include: Hydrogen integration in combustion engines and fuel cells Optimization of thermal storage systems (e.g., shell-and-tube LHTES) CFD-driven design of wave/tidal converters and wind turbines Decarbonization of industrial processes and marine propulsion Recent publications (2023–2025) demonstrate a strong emphasis on hydrogen as a clean energy vector, thermoacoustic stability, and economic feasibility of renewable communities. Trends include multi-objective optimization of energy systems, experimental validation of numerical models, and applications in transportation decarbonization. No awards or student advisories are mentioned in the source text. Collaborative projects include renewable integration for ferries, coastal vessels, and industrial processes, often involving cross-institutional CFD and experimental labs.

Jianping Zhangمشاهده پروفایل

مدرس ارشد

• Fire Safety Engineering
• Combustion Science
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Dr Jianping Zhang is a Reader in Fire Dynamics and Materials at the School of Architecture and the Built Environment, Ulster University. Holding a BEng in Mechanical Engineering and a PhD in Numerical Modelling of Pool Fires from Kingston University (2005), he has contributed extensively to fire safety research through academic roles and EU-funded projects like FP6 PredFIRE-Nano, FP7 ENFIRO, and H2020 EENSULATE. Education: BEng (1998), Southwest Jiaotong University PhD (2005), Kingston University PgCHEP (2011) Master of Education (2023) Research Interests: Focus on fire dynamics, material flammability, computational fluid dynamics (CFD) modeling of flames, heat transfer analysis, and quantitative risk assessment in fire safety. His work bridges engineering and environmental sciences , addressing challenges in industrial and academic contexts. Publication Trends: Recent studies include crosswind effects on pool fires, machine learning applications in tank fire prediction, and thermal runaway in lithium-ion batteries. Collaborations span Ulster University’s Built Environment Research Group , international institutions, and industry partners. Key Projects: FP6 PredFIRE-Nano (Methodology Development) FP7 ENFIRO (Fire Dynamics) H2020 EENSULATE (Energy-Efficient Components) Toxic Chemical Transfer in Fire Suits (2024–2027) External Roles: External Examiner, Birmingham City University (2022–2026) External Examiner, Letterkenny Institute of Technology (2016–2021)

Mahmoud Alzoubiمشاهده پروفایل

استادیار

• Transport phenomena in porous media
• Phase-change heat and mass transfer
• Artificial ground freezing
• +۵ مورد دیگر

Dr. Mahmoud Alzoubi is an Assistant Professor at Queen's University , cross-appointed between the Robert M. Buchan Department of Mining Engineering and the Department of Mechanical and Materials Engineering . He leads an interdisciplinary research program that couples advanced transport phenomena with energy-efficient technologies for mining and renewable energy applications. Education: Ph.D. in Mining & Mechanical Engineering, McGill University (2018) M.Sc. in Engineering Systems & Management, Masdar Institute of Khalifa University in collaboration with MIT (2014) B.Sc. in Mechanical Engineering, Jordan University of Science and Technology (2005) Research Interests: His work centers on transport phenomena in porous media , with emphasis on phase-change heat and mass transfer , artificial ground freezing , thermal energy storage , microfluidic devices , and renewable HVAC cycles . By integrating high-fidelity experiments with large-scale numerical simulations performed on high-performance clusters, he advances sustainable solutions for energy-intensive mining operations and green building technologies. Publication Impact: Across 32 peer-reviewed articles (2013-2024), a dominant theme emerges: developing computationally efficient models for coupled thermo-hydraulic processes in freezing, storage and ventilation systems. Studies range from Stefan-problem analytical solutions for phase-change materials to large-eddy simulations of cough-jet dispersion for indoor-air safety, underscoring a methodological breadth that spans pure mathematics, experimental heat transfer, and applied computational fluid dynamics. Funding & Recognition: Total research funding secured: CAD 466,000+ (direct cash CAD 381,000 + high-performance computing allocation CAD 85,000) Former member, Canadian Hydrogen in Mining Advisory Committee , Natural Resources Canada Laboratory & Teams: Dr. Alzoubi directs a research laboratory at Queen’s University equipped with state-of-the-art instrumentation for multiphysics experimentation and access to national HPC facilities. The group collaborates closely with industry partners (mining, HVAC) and government laboratories to translate fundamental findings into scalable, energy-efficient technologies for northern mining and cold-region infrastructure.

• Computational Fluid Dynamics
• Hydrodynamics
• Fluid Structure Interaction
• +۴ مورد دیگر

David LE TOUZÉ is a Professor of Fluid Mechanics and Director of the Research Laboratory in Hydrodynamics, Energetics & Atmospheric Environment (LHEEA) at Centrale Nantes. His research focuses on advanced computational methods in fluid dynamics, particularly Smoothed Particle Hydrodynamics (SPH) and its applications to ocean engineering, wave-structure interactions, and multiphase flows. Research Interests: Prof. LE TOUZÉ's work spans: Development of high-fidelity SPH algorithms for complex fluid-structure interactions Hydrodynamic modeling of offshore structures and wave energy converters Numerical wave tanks and experimental validation techniques Multi-scale coupling methodologies (SPH-FEM, SPH-FV) Free-surface flows and multiphase systems Publication Focus: His recent publications demonstrate strong emphasis on: 1) SPH methodology enhancements for industrial applications, 2) Experimental-computational synergy in marine hydrodynamics, and 3) Novel approaches to modeling fluid-elastic systems. Dominant themes include wave-structure interactions, particle method optimizations, and marine renewable energy applications. Laboratory Leadership: Directs the LHEEA laboratory, coordinating research in hydrodynamic systems, atmospheric environment studies, and marine renewable energy technologies through the MÉLUHSINE IIHNÉ research group.

Paul Milewskiمشاهده پروفایل

استاد

• Fluid Mechanics
• Nonlinear Waves
• Applied Mathematics
• +۳ مورد دیگر

Paul Milewski is the Department Head and Professor of Mathematics at the Department of Mathematics, The Pennsylvania State University, affiliated with the Eberly College of Science. His research focuses on applied mathematics, numerical methods, fluid mechanics, and nonlinear waves. Education: Ph.D. in Mathematics from the Massachusetts Institute of Technology (1993). Research interests include fluid dynamics phenomena such as gravity-capillary waves, nonlinear wave interactions, and hydroelastic wave dynamics. He has contributed to studies on Faraday pilot-wave dynamics, three-dimensional flexural-gravity waves, and the mathematical modeling of geophysical flows. His work often bridges theoretical analysis with computational methods. Recent research trends involve modeling complex fluid systems like droplet rebounds, internal solitary waves, and compressor surge prediction. Collaborations include special issues dedicated to peers like Professor Jean-Marc Vanden-Broeck. His research has been published in journals such as Journal of Fluid Mechanics and Studies in Applied Mathematics , with a focus on advancing understanding of nonlinear wave behavior and fluid-structure interactions.

Edward Ransleyمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy
• Coastal Engineering
• Offshore Structures
• +۲ مورد دیگر

Dr. Edward Ransley is a Senior Research Fellow at the University of Plymouth's School of Engineering, Computing and Mathematics, affiliated with the COAST Engineering Research Group. His research focuses on wave energy converters, offshore structural responses, and hydrodynamic modeling in extreme marine environments. Research interests encompass renewable energy systems, coastal engineering, and computational fluid dynamics, with emphasis on floating offshore wind platforms and wave-structure interactions. His work integrates physical modeling and numerical simulations to advance sustainable marine technologies. His publications demonstrate consistent focus on hydrodynamic phenomena, structural optimization for offshore environments, and novel material applications. Research trends include floating wind turbine dynamics, experimental wave mechanics, and coastal infrastructure resilience. Dr. Ransley has supervised doctoral research on numerical modelling of offshore wave energy converters. His lab facilities include marine testing infrastructure for wave tank experiments and computational resources for CFD analysis.

Gordon Parkerمشاهده پروفایل

استاد

• Dynamic Systems
• Control Systems
• Wave Energy Conversion
• +۲ مورد دیگر

Dr. Gordon Parker is a Professor in the Mechanical Engineering - Engineering Mechanics Department at Michigan Technological University. He teaches and researches dynamic systems and controls, utilizing MATLAB, Simulink, and MuPAD for educational content creation. His research focuses on renewable energy systems, particularly wave energy converter (WEC) technologies. Research Focus: Develops advanced control strategies for wave energy conversion, including nonlinear model predictive control and hydrodynamic modeling. Recent work examines array interactions, device optimization, and experimental validation of WEC systems. Technical Contributions: Designs low-friction testbeds for WEC control validation and investigates polyphase power solutions for marine energy grids. His work bridges theoretical control systems and renewable energy applications.

Marvin F. Youngمشاهده پروفایل

استاد مدعو

• Rocket Propulsion
• Mixed Convection Heat Transfer
• Turbulence Modeling
• +۳ مورد دیگر

Marvin F. Young is an Adjunct Professor in the Department of Mechanical Engineering at the University of Hawaii at Manoa, affiliated with the College of Engineering. He holds a PhD from the University of California, Davis (1979). His research focuses on rocket propulsion, mixed convection heat transfer, turbulence modeling, and solar energy systems. He has contributed to over a dozen peer-reviewed publications from 1981 to 1987, with notable work in International Journal of Heat and Mass Transfer and Solar Energy . Dr. Young’s work emphasizes practical applications in thermal systems design and energy efficiency. He has pioneered studies on heat flux measurement in turbulent flows and solar hot water system optimization. His research bridges fundamental fluid dynamics with engineering solutions for renewable energy and aerospace applications. He teaches graduate-level courses including ME 491 Systems Engineering and ME 491 Pearl Harbor Internship. His professional contributions include four U.S. patents related to supercritical water oxidation reactors, battlefield medical devices, and solar energy systems. Contact him via myoung35@hawaii.edu at Holmes Hall 445.

Dave Amundsenمشاهده پروفایل

دانشیار

• Nonlinear Partial Differential Equations
• Wave Phenomena
• Pattern Formation
• +۷ مورد دیگر

Dr. David E. Amundsen is an Associate Professor in the School of Mathematics and Statistics at Carleton University. His research focuses on nonlinear partial differential equations, wave phenomena, and mathematical modelling with applications in fluid mechanics, nonlinear optics, and mathematical biology. He teaches graduate courses such as MATH 5405 (Ordinary Differential Equations) and MATH 3702 (Mathematical Modelling for undergraduates). His work emphasizes resonant oscillations, asymptotic methods, and the interplay between continuous mathematical models and real-world systems. Research interests include nonlinear waves in fluids and optics, asymptotic analysis of periodic solutions, and modelling applications ranging from disease propagation to neuron signalling. He has supervised numerous graduate and undergraduate students in projects involving differential equations and applied mathematics. Recent work explores resonant oscillations in annular tanks, seasonal SIR models, and mixed local/nonlocal PDE problems. Teaching responsibilities include developing new courses like MATH 3702 to strengthen mathematical modelling training. His office is located in Herzberg Laboratories 4259, and he can be reached at dave@math.carleton.ca .

Tom Imboمشاهده پروفایل

دانشیار

• Quantum Mechanics
• Mathematical Physics
• Theoretical Physics
• +۵ مورد دیگر

Tom Imbo is an Associate Professor in the Department of Physics at the University of Illinois at Chicago (UIC), where he joined the faculty in 1992 after a postdoctoral fellowship at the University of Texas at Austin and a Junior Fellowship at Harvard University. He currently serves as Director of the newly formed Laboratory for Quantum Theory at the Extremes , a collaborative think-tank for theoretical physicists, mathematicians, and philosophers exploring extreme physical phenomena (e.g., quantum scales, relativistic speeds, extreme temperatures/densities) and their conceptual intersections with formal logic and Chassidic thought. BS, Physics (1986), University of Illinois at Chicago PhD, Physics (1988), University of Texas at Austin His research bridges quantum mechanics , relativity theory , mathematical physics , quantum field theory , and formal logic , with a focus on the topological and algebraic structures underlying physical systems. He has secured federal and private grants, taught over 25 courses at UIC, and emphasized interdisciplinary collaboration, particularly with mathematicians and philosophers. His work on Alice strings , non-abelian vortices , and quantum logic highlights his interest in exotic symmetries and foundational quantum principles. The 15 most recent publications span quantum foundations (e.g., non-commutative observables, logical algebras), topological defects (Alice strings, monopoles), mathematical structures (Kronecker products), and high-energy physics (leptoquarks, collider phenomena). These reflect his interdisciplinary focus, with keywords like quantum field theory , representation theory , and quantum information .

• Ship Design
• Marine Engineering
• LNG Transportation
• +۵ مورد دیگر

Chao Ye is a Research Fellow at the KTH Royal Institute of Technology , working in the Aerospace, Moveability and Naval Architecture department. He is currently a Postdoc researcher on the SHIFT-DT project focusing on sustainable ship design and production through digital twins. His research bridges ship design (lines, stability, hydrodynamics) with production optimization and LNG transportation systems. PhD focused on LNG boil-off rate assessment in marine type C tanks Teaches courses like Modelling ship’s propulsion and manoeuvring and Digitalisation for Sustainable Production Research interests span ship structural integrity, propulsion systems, and environmental impacts. His work integrates numerical modeling, experimental studies, and multi-objective optimization for 3E (exergetic, economic, environmental) frameworks. Publications emphasize data-driven approaches (e.g., deep learning for temperature prediction) and fault diagnosis systems for marine machinery. Collaborates with Digital Futures initiatives for advanced maritime technologies.

David Tankمشاهده پروفایل

استاد

• Neuroscience
• Neural Circuit Dynamics
• Calcium Imaging Techniques
• +۵ مورد دیگر

David Tank is the Henry L. Hillman Professor in Molecular Biology and Professor at the Princeton Neuroscience Institute, Princeton University. His research focuses on neural circuit dynamics, systems neuroscience, and imaging technology development. He co-directs a major research initiative (specific role unmentioned). Tank has pioneered advancements in calcium imaging techniques and developed tools like CaImAn for analyzing neural data. Research interests include hippocampal function, decision-making mechanisms, neural representation of spatial and non-spatial information, and energy storage solutions. His work bridges molecular biology with large-scale neural systems analysis. Key contributions include studies on multi-region brain communication, error-driven learning in hippocampal networks, and X-ray-assisted microscopy for large biological samples. Tank has also explored applications of machine learning in neuroscience and contributed to pandemic-response medical engineering through the Princeton Open Ventilation Monitor.