جست‌وجوی استاد و پژوهشگر

Patrick D. Andersonمشاهده پروفایل

استاد

• Polymer Processing
• Interfacial Phenomena
• Additive Manufacturing
• +۳ مورد دیگر

Patrick D. Anderson is a full Professor and Dean of the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on structure and rheology of complex fluids, with expertise in polymer processing, interfacial phenomena, and additive manufacturing. He has led projects on computational methods for flow analysis and interface behavior, contributing to fields like microfluidics and polymer blend modeling. Anderson holds editorial roles in journals like Macromolecular Materials Engineering and chairs the Dutch Society of Rheology. Education: PhD in Mechanical Engineering (TU/e, 1999), MSc in Applied Mathematics (TU/e). Professional experience includes roles at Océ Technologies and visiting professorships at UCSB, Stanford, and ETHZ. Research Interests: Development of predictive models for polymer processing, interfacial rheology, and additive manufacturing. Key topics include structure formation during flow, computational methods for multiphase systems, and EMI shielding materials. Article Trends: Recent work emphasizes EMI shielding via polymer nanocomposites, PLA crystal formation under shear, and fiber orientation in polymer composites. Articles bridge computational modeling with experimental validation in rheology and materials science. Awards: Repeated Best Teacher awards (2006, 2013, 2019, 2021) and the 2017 Walters Prize (2018) for fluid mechanics contributions. Grants & Partnerships: Collaborations with industry partners like DSM, BASF, and Philips. Currently leads projects on EMBOlization materials and rheology modeling funded through the National Growth Fund. Labs/Tech: Active in soft materials processing and 3D printing research, with facilities for in-situ X-ray imaging and rheological testing.

Peter D. Minevمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Analysis
• Fluid-Structure Interaction
• +۴ مورد دیگر

Peter D. Minev is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, Canada. His research specializes in computational fluid dynamics, numerical methods for partial differential equations (PDEs), and large-scale simulations for scientific and engineering problems. He develops advanced algorithms for incompressible Navier-Stokes equations, fluid-structure interaction, multiphase flows, and magnetohydrodynamics (MHD). Education: MSc and PhD from Sofia University, Bulgaria. Research Focus: Minev's work spans: High-order time-stepping schemes and splitting methods for complex PDEs Fictitious domain approaches for fluid-structure interaction Parallel algorithms for supercomputing applications Modeling of multiphysics phenomena (e.g., porous media flows, phase-field equations) He has created benchmark results for 3D lid-driven cavity flows and simulations of particle sedimentation/bubble dynamics. Publications: His recent articles (2014–2021) focus on: Efficient splitting schemes for stress/vorticity formulations High-order adaptive time integration Algorithms for spherical/heterogeneous geometries Applications in fuel cells, geophysics, and biomechanics A consistent theme is minimizing computational complexity while maintaining accuracy.

• Computational Fluid Dynamics
• Multiphase Flow
• Nuclear Engineering
• +۳ مورد دیگر

Dr. Yixiang Liao is a researcher in the Computational Fluid Dynamics (CFD) department at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) . His work focuses on advanced numerical modeling of multiphase flows, particularly in nuclear engineering and thermal-hydraulics contexts. Key areas include bubble dynamics, two-phase flow regimes, turbulence modeling, and phase change phenomena. He has contributed extensively to CFD applications in reactor safety, flashing flows, and industrial systems. His research integrates experimental validation with computational methods, addressing challenges in modeling bubble-induced turbulence, surfactant effects, and complex flow behaviors in confined geometries. He has published widely on topics like pool scrubbing, nozzle dynamics, and vane-type separators, leveraging hybrid models and population balance approaches. Dr. Liao's work spans both fundamental and applied aspects, with outputs informing reactor design, safety analysis, and process optimization. His studies often emphasize closure model development for RANS-based simulations and the validation of Eulerian-Eulerian frameworks.

Oliver Anwar Boolakeeمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Solid Mechanics
• Lattice Boltzmann Methods
• +۳ مورد دیگر

Oliver Anwar Boolakee is affiliated with ETH Zürich as part of the Professur für Numerische Mechanik (Chair of Numerical Mechanics). His research focuses on computational mechanics, particularly lattice Boltzmann methods applied to solid mechanics, boundary condition modeling, and elastodynamic simulations. He holds a Master's degree in Mechanical Engineering from TU Munich (2017-2019) and a Bachelor's degree from AKAD Stuttgart (2014-2017). Professional experience includes roles at ETH Zürich (2020-present), Empa (2020), and ARRK (2017-2018). His work bridges numerical methods for solid and fluid mechanics, with recent contributions to boundary condition implementations in lattice Boltzmann schemes and acoustic emission modeling for multicopters. Research interests emphasize innovative numerical approaches for complex mechanical systems, including linear elastodynamics, arbitrary domain simulations, and viscoelastic flow dynamics. His publications reflect advancements in both solid mechanics and fluid dynamics, demonstrating interdisciplinary application of computational methods.

• Reservoir Engineering
• Carbon Capture and Storage
• Pore-Scale Flow Modeling
• +۳ مورد دیگر

Rumbidzai Nhunduru is a Research Associate at the Institute of Mechanical, Process & Energy Engineering within Heriot-Watt University's School of Engineering & Physical Sciences, United Kingdom. Her research focuses on experimental and computational analysis of fluid flow in porous media with direct applications to carbon sequestration and enhanced oil recovery operations. Her core expertise spans pore-scale modeling of multiphase flow systems, specializing in fluid displacement mechanisms, wettability effects, and residual trapping phenomena. She employs advanced micromodel experiments and direct numerical simulations to investigate ganglion dynamics, surface roughness impacts, and transport kinetics in geological formations relevant to subsurface energy storage. Analysis of her publications reveals a cohesive research trajectory bridging microscopic flow observations with macroscopic reservoir behavior. Key contributions include quantifying wettability's role in dynamic fluid connectivity and elucidating surface roughness effects on residual trapping—critical insights for optimizing CO2 storage in saline aquifers and improving reservoir simulation accuracy. Dr. Nhunduru collaborates extensively with an international team led by Professor Mercedes Maroto-Valer, contributing to laser-manufactured microfluidic device development and pore-scale visualization techniques. Her work supports next-generation modeling for subsurface energy applications, with recent datasets on wettability impacts and fluid displacement kinetics publicly archived through Heriot-Watt University.

• Thermal Engineering
• Energy Storage Systems
• Phase Change Materials
• +۳ مورد دیگر

Zengxu GUO is a researcher affiliated with Université de Technologie de Troyes (UTT), holding a Doctorate. His research focuses on thermal energy storage systems, phase change materials (PCMs), and operations research with particular emphasis on inventory optimization. Key areas of expertise include enhancing thermal performance through metal foam integration, analyzing inclination effects on heat transfer, and modeling inventory systems for omnichannel environments. His work bridges experimental and computational methods, with notable contributions to understanding PCM behavior in porous media and optimizing inventory policies under dual demand classes. Recent studies (2021-2024) explore thermal tank design, aspect ratio impacts, and cost evaluation frameworks for inventory models. Publications highlight interdisciplinary approaches combining materials science with thermal engineering and supply chain optimization, demonstrating strong methodological rigor through experimental validation and numerical simulations.

Graeme Whiteمشاهده پروفایل

استاد

• Fluid Dynamics
• Multiphase Flow
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Graeme White is a Professor at the School of Engineering & Physical Sciences, Heriot-Watt University, and a professorial fellow within the Institute of Mechanical, Process & Energy Engineering. His research focuses on fluid dynamics, multiphase flow modeling, and their applications in offshore engineering and pharmaceutical crystallization. He has led roles such as Head of Teaching and Academic Head of Department, and currently heads the Multiphase Research Group. His work addresses critical industrial challenges, including optimizing offshore floating production systems (e.g., gas/oil/water separation on moving platforms) and improving CFD models for pharmaceutical crystallization. Collaborations with industry and EPSRC-funded projects underscore his translational research. Key facilities include oscillating column labs simulating platform motion and Large Eddy Simulation modeling for industrial-scale systems. Recent research trends reflect his dual focus on offshore gas processing (e.g., acid gas removal on FLNG units) and crystallization dynamics. His contributions span over 40 publications, emphasizing fluid mechanics and sustainability-aligned energy systems. Expertise: Computational Fluid Dynamics (CFD), Multiphase Systems, Offshore Engineering Industry Collaboration: Oil & Gas, Pharmaceutical sectors Key Projects: EPSRC-Industry crystallization models, FLNG acid gas removal

Jan Huissoonمشاهده پروفایل

استاد

• Mechatronics Engineering
• Robotics
• Autonomous Vehicle Control
• +۴ مورد دیگر

Jan Huissoon is a Professor in the Mechanical and Mechatronics Engineering Department at the University of Waterloo, where he previously served as Chair (2013–2020) and founded Canada's first Mechatronics Engineering program. He holds a Ph.D. and Bachelor's in Engineering Science from Trinity College, Dublin. His research focuses on mechatronic design, sensor-based robotics, autonomous vehicles, and microfluidic control, with notable contributions to robotic welding and intelligent transportation systems. Education: 1983: Doctorate in Mechanical Engineering, Trinity College Dublin 1979: Bachelor of Engineering Science, Trinity College Dublin Research Interests: Autonomous vehicle navigation using neural networks Sensor-based control for high-speed robotic welding Microfluidic device development and fluid dynamics Assistive robotics and human motion modeling Intelligent sensing systems (ultrasonic/vision-based) Industrial Experience: Consultant for Paradigm Products Inc. (2005–2007) Expert witness for patent infringement cases (2005–2007) Contract work in mechatronic and machine design (2005–2007) Labs/Teams: While no specific lab names are listed, his work involves collaboration with interdisciplinary teams focusing on robotics, microfluidics, and autonomous systems. He has developed open-source hardware like the µPump for microfluidic applications. Grants/Advising: Currently not accepting graduate students but holds Sole-Supervisory Privilege Status (SSPS). His research has produced over 100 publications and multiple patents, including foundational work in robotic calibration and welding automation.

Serhiy Yarusevychمشاهده پروفایل

استاد

• Fluid Mechanics
• Aerodynamics
• Turbulence
• +۵ مورد دیگر

Serhiy Yarusevych is a Professor and Professional Engineer (PEng) at the University of Waterloo's Department of Mechanical and Mechatronics Engineering, affiliated with the Fluid Mechanics Research Laboratory. His research focuses on fluid mechanics, aerodynamics, turbulence, and vortex dynamics, with a particular emphasis on laminar separation bubbles, boundary layer transition, and flow control mechanisms. He investigates phenomena such as droplet dynamics, vortex-induced vibrations, and aerosol dispersion, applying experimental techniques like particle image velocimetry (PIV) and temperature-sensitive paint analysis. Recent work includes studies on transient flow dynamics, free-stream turbulence effects, and mask efficacy for aerosol control. His contributions span both fundamental fluid mechanics and applied engineering challenges in aerodynamics and multiphase systems. Yarusevych's research often integrates experimental data with computational models to advance understanding of complex flow behaviors.

• Computational Fluid Dynamics
• Microfluidics
• Lattice Boltzmann Methods
• +۲ مورد دیگر

Professor Emilie Sauret holds an ARC Future Fellowship at QUT's School of Mechanical, Medical & Process Engineering. With a PhD in Turbulence Modelling from Sorbonne University, she develops computational methods for complex fluid systems. Research focus areas: Physics-informed neural networks for microfluidics Electrohydrodynamic control of fluid interfaces Biomedical applications of computational fluid dynamics Publications showcase interdisciplinary approaches to fluid dynamics, with recent advances in predictive modelling of lung deposition and microfluidic device optimization. Her work bridges fundamental physics with energy and biomedical applications. Leadership roles include council membership in the Australasian Fluid Mechanics Society. She has secured $8M in research funding and collaborates with MIT, NASA JPL, and industry partners.

Gisuk Hwangمشاهده پروفایل

دانشیار

• Thermofluid Sciences
• Thermal Management Systems
• Sustainable Energy Systems
• +۷ مورد دیگر

Dr. Gisuk Hwang is an Associate Professor in the Department of Mechanical Engineering at Wichita State University (WSU), part of the College of Engineering. He leads the Sustainable Energy Science and Engineering Laboratory (SESEL), focusing on thermofluid sciences to develop sustainable energy systems. His research spans advanced thermal management, energy conversion, and environmental technologies, supported by grants from NSF, NASA, and Sandia National Lab. Dr. Hwang earned his M.S. and Ph.D. in Mechanical Engineering from the University of Michigan, followed by postdoctoral work at Lawrence Berkeley National Laboratory. His expertise includes phase-change heat transfer, additive manufacturing of wicks, and machine learning applications in thermal systems. Research interests include micro/nanostructured systems for energy efficiency, thermal diodes, and sustainable cooling solutions. Key projects involve optimizing capillary evaporators, developing novel wick structures, and enhancing heat transfer in fuel cells and batteries. His team has produced over 50 peer-reviewed publications and graduated numerous Ph.D. and M.S. students. Notable awards include the John A. See Award and NSF grants. Current openings exist for Ph.D. candidates in thermofluid science and engineering. Labs/Teams: SESEL Lab. Collaborative projects focus on additive manufacturing, computational modeling, and experimental validation of thermal systems.

• Optimization
• Chemical Engineering
• Machine Learning
• +۳ مورد دیگر

Bjarne André Grimstad is an Associate Professor at the Norwegian University of Science and Technology (NTNU). His work focuses on optimization, surrogate modeling, and data-driven approaches for complex systems in chemical and petroleum engineering. Key contributions include advancements in B-spline models, hybrid gray-box systems, and neural network applications for virtual flow metering. Research interests span optimization algorithms, machine learning integration with physical models, and industrial process control. Notable publications address multi-task learning frameworks, identifiability in hybrid models, and the efficacy of gray-box modeling in nonstationary environments. Publications (2024–2015) highlight interdisciplinary work combining mathematical programming with real-world applications in oil & gas production and flow measurement. His 2015 doctoral dissertation explored daily production optimization using surrogate modeling techniques. Outreach activities include academic lectures at international conferences (e.g., IFAC OOGP 2015) and poster presentations on hybrid modeling at Geilo Winter School 2021. Collaborations with industry partners like SINTEF and TU Delft underscore his applied research focus.

• Structural Mechanics
• Solid Body Mechanics
• Fracture Mechanics
• +۳ مورد دیگر

Res.Asst.Dr. Bahar Ayhan is affiliated with the Department of Civil Engineering at Istanbul Technical University (ITU). Her research focuses on structural mechanics, solid body mechanics, and fracture mechanics. She holds a Ph.D. from École Normale Supérieure de Cachan (2009–2013) and completed a postdoctoral fellowship at Johns Hopkins University (2015–2016). She has been a Research Assistant at ITU since 2007 and has contributed to advanced computational models for material behavior, including damage-plasticity coupling and fracture analysis. Her work spans multiscale analysis, constitutive modeling, and structural failure mechanisms. Educational Background: Ph.D., École Normale Supérieure de Cachan (2013) Master's in Structural Engineering, Istanbul Technical University (2013) Bachelor's in Civil Engineering, Istanbul Technical University (2003) Research Highlights: Her publications address topics such as gradient-enhanced damage models, strain rate effects on concrete, and finite element analysis of composite structures. She collaborates internationally and has presented at conferences like the World Congress on Computational Mechanics (WCCM).

Yiorgos-Sokratis Smyrlisمشاهده پروفایل

استاد

• Conservation Laws
• Numerical methods for elliptic boundary value problems
• Density results with linear combinations of particular solutions of elliptic equations
• +۲ مورد دیگر

Yiorgos-Sokratis Smyrlis is a Professor in the Department of Mathematics and Statistics at the University of Cyprus, where he has served since 1993, progressing from Assistant Professor to Associate Professor (2003) and finally to Professor (2010). His academic career includes prior positions as Research Assistant Professor at UCLA (1989-91) and Lecturer at the University of Manchester (1991-93). Professor Smyrlis received his secondary education at Model School of Anavruta, Kifissia, Greece (1977-1980), followed by undergraduate studies at the University of Athens, Department of Mathematics (1980-84), where he ranked 1st with a grade of 9.7/10.0. He earned his MS (1986) and Ph.D. (1989) in Mathematics from the Courant Institute, New York University, with a dissertation titled "Existence and stability of stationary profiles of the LW scheme" under Peter D. Lax. His research focuses on Conservation Laws, Numerical methods for elliptic boundary value problems, Density results with linear combinations of particular solutions of elliptic equations, Dissipative and dispersive–dissipative dynamical systems, and Development of linearly implicit schemes for nonlinear parabolic equations. His work often centers on the Method of Fundamental Solutions (MFS) and its theoretical foundations and practical applications. Analysis of his publication record reveals a strong emphasis on developing and analyzing numerical methods, particularly the MFS, for solving partial differential equations across diverse physical contexts. His research spans theoretical mathematical analysis to practical computational implementations, with significant contributions to understanding the Kuramoto-Sivashinsky equation and related dynamical systems. Professor Smyrlis has maintained extensive collaborations, particularly with A. Karageorghis, G. Akrivis, and D.T. Papageorgiou, resulting in publications in prestigious journals including Mathematics of Computation, Numerische Mathematik, and SIAM Journal on Scientific Computing.

Gary Rosengartenمشاهده پروفایل

استاد

• Mechanical Engineering
• Energy Systems
• Thermal Management
• +۵ مورد دیگر

Professor Gary Rosengarten is a leading academic at RMIT University, holding roles as Professor in the School of Aerospace, Mechanical and Manufacturing Engineering and Director of the Sustainable Technologies and Systems Enabling Impact Platform. His work focuses on energy systems, biomedical devices, and thermal management. He leads the Laboratory for Innovative Fluid Thermal Systems (LIFTS), addressing transport phenomena across macro to nano scales. Key areas include solar energy, thermal storage, and biomedical innovations like blood clot detection and microneedle drug delivery. Professor Rosengarten has held academic positions at RMIT and UNSW Sydney, with adjunct roles since 2012. His non-academic experience includes roles at CSIRO and Bassett Applied Research. He has been recognized with awards such as the Churchill Fellowship and Victoria Fellowship. His research spans energy demand management, battery thermal management, and advanced cooling systems. Notable projects include droplet/spray cooling for data centers and high-flux applications, alongside biomedical applications like upper airway airflow devices. His work integrates experimental and computational methods, emphasizing sustainable technologies. Awards include the 2000 ASME Solar Energy Division Graduate Award and the 2002 Churchill Fellowship. He supervises research in thermal storage, hydrogen systems, and smart energy grids, contributing to over 250 publications. His interdisciplinary approach bridges mechanical engineering, biomedical innovation, and renewable energy solutions.