جست‌وجوی استاد و پژوهشگر

• Mechanical Engineering
• Fluid Dynamics
• Turbine Design
• +۳ مورد دیگر

Nuno Humberto Costa Pereira serves as an Adjunct Professor at the Polytechnic Institute of Setúbal's School of Technology, having completed his PhD in Mechanical Engineering at the Technical University of Lisbon in 2007. He directed the School of Technology from 2012 to 2020 and maintains active research engagement in engineering disciplines. His educational foundation centers on a 2007 PhD in Mechanical Engineering from the Technical University of Lisbon, establishing expertise in experimental engineering methodologies. Research prioritizes fluid dynamics and turbine systems, with emphasis on cross-flow hydraulics, air-water interactions, and experimental measurement techniques. Key investigations include parametric studies of nozzles, two-dimensional jet analysis using conductivity probes, and flow direction quantification in turbine applications. This work directly supports sustainable energy infrastructure development. His publication record comprises 3 journal articles and 11 conference proceedings, consistently addressing experimental mechanics in renewable energy contexts with focus on precision measurement and system optimization. He actively contributes to major research initiatives including Build2050 (sustainable building training), MARE Cooperating for Excellence in Research & Innovation, and MARE EULAC for Europe-Latin America energy transition infrastructure collaboration.

David J. Forlitiمشاهده پروفایل

دانشیار

• Fluid mechanics
• Combustion
• Propulsion systems
• +۹ مورد دیگر

David J. Forliti is an Associate Professor in the Department of Mechanical Engineering at the University of St. Thomas. With over twenty years of experience in fluid mechanics and combustion research, he has established himself as a leading researcher in experimental fluid dynamics and propulsion systems. His educational background includes: PhD in Mechanical Engineering from the University of Minnesota MS in Mechanical Engineering from Florida State University BS in Mechanical Engineering from the University of Minnesota Dr. Forliti's research focuses on fundamental and applied aspects of fluid mechanics, with particular emphasis on turbulent flows, combustion systems, and experimental methods. His work spans from theoretical hydrodynamic stability to practical applications in propulsion and energy systems. He leads the Forliti Research Group at the University of St. Thomas, which investigates fluid and thermal sciences with applications to energy and propulsion systems. The research is primarily experimental in nature, though it incorporates computational and theoretical approaches. His recent publications demonstrate a consistent focus on fluid dynamics, combustion, and experimental methods. The articles span topics from transverse jets and shear layers to deflagration-to-detonation transition and multiphase flows, showing his broad expertise in fluid mechanics and combustion phenomena. Dr. Forliti has received significant recognition for his work: Office of Naval Research Young Investigator Award (2006) for research in fluidic flame stabilization 2015 Institute for Liquid Atomization and Spray Systems (ILASS) W. R. Marshall Award for work in multiphase flows Throughout his career, Dr. Forliti has maintained strong connections with government research laboratories, having worked at the Air Force Research Laboratory at Edwards Air Force Base and Wright-Patterson Air Force Base. His research has practical applications in propulsion systems, energy efficiency, and biomedical devices. He has mentored numerous students and collaborated with researchers across various institutions. The Forliti Research Group operates state-of-the-art experimental facilities focused on fluid dynamics and combustion research, with applications ranging from aerospace propulsion to biomedical devices. The lab emphasizes both fundamental understanding of fluid phenomena and practical engineering solutions for energy and propulsion systems.

Kourosh Kolahiمشاهده پروفایل

استاد

• Intelligent Sensors
• Coriolis Mass Flow Meters
• Active Vibration Damping
• +۱۰ مورد دیگر

Prof. Dr. Kourosh Kolahi is a Professor of Automation and Control Engineering at Hochschule Ruhr West (HRW) in Mülheim an der Ruhr, where he also serves as Program Director for the Master's degree in Systems Engineering (MPO 2017 and MPO 2024). He teaches in various bachelor's and master's programs including Electrical Engineering, Mechatronics, and Automotive Electronics. His research focuses on intelligent sensors, particularly Coriolis mass flow meters, active vibration damping of weakly damped dynamic systems, multiphase flow measurement, and modeling, control and regulation of BLDC motors. His expertise spans theoretical modeling and experimental identification, algorithm development for automation technology, sensor data fusion, and model-based measurement and control of dynamic systems. Prof. Kolahi's publication record shows consistent focus on flow measurement technology, particularly Coriolis mass flow meters, with significant contributions to density measurement, sensor diagnostics, and model-based correction techniques. His work bridges theoretical control engineering with practical industrial applications, with numerous industry collaborations spanning biotechnology, steel processing, and manufacturing. Through his industry partnerships with companies like Krohne Messtechnik, E-Nema GmbH, EGE-Elektronik, and British American Tobacco, Prof. Kolahi has developed practical applications including biomass sensors, sail assistance systems, thermal flow controllers, and ultrasound welding monitoring systems using artificial neural networks. He teaches courses including Control Engineering, Automation Technology II, Modern Methods of Control Engineering, Applied System Theory, Modeling and System Identification, and Electrical Engineering/Mechatronics Project Work. His well-equipped laboratories for automation and control engineering as well as simulation support both teaching and research activities.

Andrew Resnickمشاهده پروفایل

استاد

• Biophysics
• Cellular Mechanosensation
• Optical Physics
• +۴ مورد دیگر

Dr. Andrew Resnick serves as a Professor at Cleveland State University, affiliated with the Center for Gene Regulation in Health and Disease (GRHD). His research bridges physics and biology through two primary tracks: sensory cilia in cellular mechanosensation and optical probes of matter. He utilizes experimental tools including epithelial cell culture, electrophysiology, microscopy, laser tweezers, microfluidics, and analytical modeling. Dr. Resnick's research focuses on the intersection of physics and biology, particularly examining how renal and airway epithelial tissues respond to fluid flow stimulation in contexts of tissue maintenance and repair. His work emphasizes multidisciplinary approaches, with long-term goals of bridging physics and biology to produce revolutionary results. Key areas include primary cilia mechanics, cellular mechanotransduction, and optical manipulation techniques. Analysis of Dr. Resnick's publication record reveals consistent focus on cilia biophysics and fluid-structure interactions across biological systems. His work spans fundamental physics of cellular structures to applied physiological investigations, demonstrating strong integration of mathematical modeling with experimental approaches. Recent publications show expanding applications into educational research and interdisciplinary topics like martial arts physics. Dr. Resnick actively mentors graduate researchers, currently supervising Pinak Deshpande and doctoral student Ishan Chawan. His laboratory work involves collaboration across disciplines, with emphasis on training students in both biological and physical science methodologies. The GRHD center provides infrastructure support for his research program, facilitating access to advanced instrumentation. The Resnick laboratory investigates biological systems including renal and airway epithelial tissues to study connections between fluid flow stimulation and physiological responses. His team employs multidisciplinary approaches combining physics principles with biological experimentation, maintaining a research environment focused on crossing traditional disciplinary boundaries to address complex physiological questions.

• Fluid Flow in Porous Media
• Numerical Analysis
• Modeling
• +۳ مورد دیگر

Dr. Anna Maria Spagnuolo serves as Professor of Mathematics in the Department of Mathematics and Statistics at Oakland University's College of Arts and Sciences and as Executive Director of the Oakland University Math Corps. She earned her Ph.D. from Purdue University and has developed a distinguished research program bridging theoretical mathematics with practical applications. Her research focuses on Fluid Flow in Porous Media , Numerical Analysis , Mathematical Modeling , and applications in Mathematical Biology including the Computation of Disease Processes . Her interdisciplinary work combines computational methods with physical modeling to address complex problems in fluid dynamics and biological systems. 2023 Distinguished Professor of the Year Award, Michigan Association of State Universities Dr. Spagnuolo has successfully mentored doctoral students including Amera H. Almusharrf (2016) who researched 'Delay Differential Equations and the Logistic Model with Two Delays,' and Daniel Coffield (2009) who developed 'A Model for Single Phase Flow in Horizontally Fractured Porous Media Using Homogenization Techniques.' Her students have progressed to academic positions at institutions including The Royal Commission Yanbu Colleges & Institutes and the University of Michigan-Flint. As Executive Director of the Oakland University Math Corps, she leads comprehensive mathematics education initiatives that provide tutoring, mentoring, and enrichment programs for students from elementary through college levels, with particular emphasis on supporting underserved student populations.

• Fluid Dynamics
• Magnetohydrodynamics (MHD)
• Thermal Convection
• +۴ مورد دیگر

Dr. Sven Eckert is the Head of Process Diagnostics at the Institute of Fluid Dynamics at Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His work focuses on experimental fluid dynamics, particularly in liquid metal systems, with a strong emphasis on magnetohydrodynamics (MHD), thermal convection, and flow measurement techniques. He leads research on processes such as Rayleigh-Bénard convection in liquid metals, electromagnetic flow control in industrial casting, and particle-laden flow dynamics. His team develops advanced diagnostic tools like contactless inductive flow tomography and ultrasound localization microscopy to study complex fluid behaviors. Eckert's research bridges fundamental physics with industrial applications, addressing challenges in metallurgy, energy systems, and materials science. Key research interests include understanding turbulence in low-Prandtl-number convection, optimizing electromagnetic actuators for mold flow control, and analyzing solidification processes under magnetic fields. He collaborates on projects involving neutron and X-ray imaging to visualize two-phase flows and microstructural evolution. Eckert's contributions advance both theoretical fluid dynamics and practical technologies for manufacturing and energy sectors. His experimental setups include large-scale convection cells, industrial casting simulations, and facilities for studying crystallization in planetary materials. Eckert actively engages in EU-funded projects and technology transfer initiatives, applying fluid dynamics principles to real-world problems in metallurgy and renewable energy systems.

George Birosمشاهده پروفایل

استاد

• Computational Engineering
• Parallel Algorithms
• Numerical Methods
• +۷ مورد دیگر

George Biros is a Professor of Mechanical Engineering and holds the W.A. 'Tex' Moncrief Jr. Endowed Chair in Simulation-Based Engineering Sciences at the University of Texas at Austin. He leads the Parallel Algorithms for Data Analysis and Simulation Group within the Institute for Computational Engineering and Sciences (ICES). His research focuses on computational mathematics, parallel algorithms for physics-based simulations, and large-scale data analysis, with applications in biomedical imaging, tumor growth modeling, and high-performance computing. Biros earned his Ph.D. in Computational Science and Engineering from Carnegie Mellon University (CMU), followed by a postdoctoral fellowship at NYU's Courant Institute. He previously held faculty positions at the University of Pennsylvania and Georgia Tech. His work emphasizes scalable algorithms for exascale computing, including fast multipole methods and hierarchical matrix techniques. Research interests span parallel algorithms, numerical methods for PDEs, inverse problems, and biophysical modeling. Notable contributions include tumor growth models with mass effect, image registration algorithms (e.g., CLAIRE), and GPU-accelerated solvers for fluid dynamics and plasma simulations. His group develops open-source libraries like PyKokkos for performance-portable Python kernels. Recent publications highlight advancements in grain microstructure prediction via graph neural networks, single-scan MRI tumor calibration, and tau protein dynamics modeling in Alzheimer's disease. He has pioneered GPU-based diffeomorphic image registration for large biomedical datasets, achieving real-time performance on multi-GPU systems. Awards: Two-time ACM Gordon Bell Prize (2010, 2016), DOE Early Career Award Grants: Leads projects in exascale computing, numerical methods, and medical image analysis Labs: ICES Parallel Algorithms Group, ExaNIML (Exascale Numerically Inspired Machine Learning)

Monica Oliveiraمشاهده پروفایل

مدرس ارشد

• Non-Newtonian Fluid Dynamics
• Rheology
• Microfluidics
• +۵ مورد دیگر

Dr. Monica Oliveira is a Senior Lecturer in the Department of Mechanical & Aerospace Engineering at the University of Strathclyde. She holds a PhD in Chemical & Process Engineering from Heriot-Watt University and a degree in Chemical Engineering from the University of Porto. Her research focuses on fluid flows and transport phenomena, particularly the rheology of complex fluids and microfluidics. She has been affiliated with institutions like MIT and CEFT, and her work appears in journals such as Physical Review Letters and Journal of Fluid Mechanics. Her expertise includes computational fluid dynamics, microdevice design, and rheology (shear and extension). Key projects include designing microfluidic components for extensional rheometry and developing biofluid analogues. She leads several research projects, including the DTP 2224 and KTP collaborations. Awards include the Chaires Paris-Science 2024 Invited Professorship and FEUP Scientific Incentive Prize. Her research integrates fundamental flow physics with biomedical applications, such as ophthalmic viscosurgical devices and blood flow dynamics in aneurysms. Recent publications address topics like ferrofluid emulsions, viscoelastic instabilities, and microscale mixing. She actively participates in international conferences and serves roles in professional societies like the European Society of Rheology. Her lab focuses on optimizing microfluidic geometries for precise fluid characterization and biomedical applications.

Dean Wilsonمشاهده پروفایل

مدرس

• Computational Fluid Dynamics
• Turbulence
• Nuclear Thermal Hydraulics
• +۵ مورد دیگر

Dean Wilson is a Lecturer in Fluid Mechanics at the Department of Mechanical and Aerospace Engineering, The University of Manchester. He holds a PhD in Computational Modelling of Turbulent Magnetohydrodynamic Flow (2016). His research focuses on advanced CFD modeling for nuclear thermal hydraulics, turbulence modeling in complex flows, and natural convection systems. Key areas include lead-cooled fast reactors, tight lattice LWR subchannel analysis, and magnetohydrodynamic flow simulations. Education: Doctor of Philosophy (2016), The University of Manchester. Supervisors: Prof. Craft and Prof. Iacovides. Research Interests: Computational Fluid Dynamics (CFD), Turbulence Modeling, Nuclear Thermal Hydraulics, Magnetohydrodynamics (MHD), Natural Convection Cooling, and Thermal-Hydraulic Testing of Advanced Reactors. He contributes to UN Sustainable Development Goals related to Affordable & Clean Energy (SDG7) through nuclear thermal hydraulics research. Recognitions: Recipient of the Elsevier Prize for Best Computational Paper on Single Phase Flows - Applied (2022). Active in organizing the 17th National UK Heat Transfer Conference (2021). Labs/Groups: Member of the Fluids Research Group, leading research on turbulent flow simulation and passive cooling systems. Collaborates with international institutions like Dalton Nuclear Institute.

Hossam Sadekمشاهده پروفایل

دانشیار

• Engineering Education
• Thermal Engineering
• Capstone Course Design
• +۳ مورد دیگر

Hossam Sadek is an Associate Professor-Teaching Stream in the Department of Mechanical Engineering at York University's Lassonde School of Engineering. He holds a P.Eng license and has expertise in mechanical engineering education and thermal systems. Dr. Sadek earned his MSc and PhD from McMaster University's Mechanical Engineering Department in 2004 and 2009 respectively. His teaching spans Thermodynamics, Mechanics of Materials, Fluid Mechanics, and Capstone Project courses. He served as Undergraduate Program Director (2018-2022) and Graduate Attribute Lead (2015-2018), demonstrating deep involvement in program development. He actively contributes to engineering education through memberships in the Canadian Engineering Education Association (CEEA) and American Society of Engineering Education (ASEE). Research focuses on engineering education innovation including lifelong learning frameworks, capstone course design, and student reflection practices. His technical research includes thermal management systems, electrohydrodynamic effects on heat transfer, and energy recovery technologies. Recent publications explore educational taxonomies for learning organizations (2024), capstone design best practices (2024), and advanced thermal measurement techniques (2019). His work bridges pedagogical innovation with applied thermal engineering advancements. Professional service includes leadership roles in curriculum development and participation in national education committees. His interdisciplinary approach integrates engineering fundamentals with modern educational methodologies.

Peter Stephanمشاهده پروفایل

استاد

• Thermodynamics
• Heat and Mass Transfer
• Energy Conversion
• +۴ مورد دیگر

Prof. Peter Stephan is a Full Professor of Technical Thermodynamics and Director of the Institute for Technical Thermodynamics at Technische Universität Darmstadt. He holds leadership roles in multiple research initiatives, including the Cluster of Excellence 259 (Smart Interfaces), Collaborative Research Centre 1194 (Transport and Wetting Processes), and the Research Field Energy and Environment. Stephan's expertise spans heat and mass transfer, energy conversion, and interfacial transport phenomena. Education: He earned his Dipl.-Ing. in Mechanical Engineering (1988) from TU München and his Dr.-Ing. from Universität Stuttgart (1992). His professional experience includes roles at Daimler-Benz and the European Commission’s Joint Research Centre before joining TU Darmstadt in 1997. Research focuses on energy systems, boiling/evaporation dynamics, and thermal storage. He leads experimental and numerical studies on nucleate boiling, drop impingement, and interfacial phenomena. His work also addresses sustainable energy solutions, such as hydrogen and iron-based energy carriers. Editorial roles include Editor-in-Chief of the VDI Heat Atlas and editorial board memberships at journals like Journal of Heat and Mass Transfer . He chairs multiple national and international committees, including the VDI-GVC working group on Heat and Mass Transfer. His research emphasizes bridging microscale phenomena (e.g., microlayer formation) with macroscale applications (e.g., thermal energy storage systems). Recent studies explore exergy optimization in ironmaking and nanofiber-coated surfaces for condensation.

Youjin Dengمشاهده پروفایل

استاد مدعو

• Quantum Monte Carlo Methods
• Phase Transitions
• Critical Phenomena
• +۵ مورد دیگر

Professor Youjin Deng holds concurrent roles as a physics professor at the University of Science and Technology of China (USTC) since 2009, and an adjunct professor at the University of Massachusetts Amherst (UMass Amherst) since 2016. He has extensive academic experience including a von Humboldt Research Fellowship at Heidelberg University (2007-2008) and postdoctoral roles at New York University and Delft University of Technology. Education : B.Sc. in Physics, Beijing Normal University (1997) M.Sc. in Physics, Beijing Normal University (2000) Ph.D. in Applied Science, Delft University of Technology (2004) Research Interests : Dedicated to advancing computational and theoretical studies in statistical mechanics, including quantum Monte Carlo methods, phase transitions, and quantum simulations. His work bridges classical and quantum systems, with notable contributions to percolation theory, critical phenomena, and ultracold atom dynamics. Recent projects explore machine learning applications in percolation and topological band structures in spin-orbit coupled systems. Awards : 2016 National Science Fund for Outstanding Young Scholars 2008 China Ministry of Education 'New Century Excellent Talent' 2005 Chinese Government Award for Outstanding Overseas Self-Financed Students Advising & Collaboration : Has guided over 30 graduate students and postdocs, many of whom pursue academic roles globally. Active in international collaborations, including work with the Hefei National Laboratory for Physical Sciences and institutions in the U.S., Australia, and Europe. Research outputs span top journals like Physical Review Letters , Nature , and Science . Labs & Teams : Leads theoretical physics research groups at USTC, focusing on computational methods and quantum many-body systems. Collaborates with experimentalists on cold atoms, optical lattices, and quantum simulations.

Damena Agonaferمشاهده پروفایل

دانشیار

• Thermal-Fluid Sciences
• Interfacial Transport Phenomena
• Renewable Energy Technologies
• +۵ مورد دیگر

Dr. Damena Agonafer is an Associate Professor & Clark Faculty Fellow in the Department of Mechanical Engineering at the University of Maryland, College Park. His research focuses on nanoscale energy interfacial transport, particularly in thermal management of electronics, renewable energy systems, and phase change materials. He holds a PhD from the University of Illinois Urbana-Champaign and conducted postdoctoral research at Stanford University under Prof. Ken Goodson. His work bridges thermal-fluid sciences, materials engineering, and energy storage, targeting applications like high-powered electronics cooling, battery thermal management, and HVAC efficiency improvements. Education: PhD, Mechanical Science and Engineering, University of Illinois Urbana-Champaign MSc, Carnegie Mellon University BSc, University of Texas at Arlington Research Interests: Interfacial transport phenomena at micro-/nano scales Thermochemical and electrochemical energy storage Phase change heat transfer materials Data center cooling and power electronics thermal management Awards: NSF CAREER Award ASME Early Career Award Google Research Award 2021 National Academy of Engineering Frontiers of Engineering Symposium Participant Advising & Grants: Recipient of UMD's $3.5M ARPA-E COOLERCHIPS Award for data center cooling Lead on NSF-funded projects exploring evaporative cooling mechanisms Mentor in a NSF-funded research mentoring program for underrepresented students Labs & Teams: Director of the Nanoscale Energy Interfacial Transport Lab Collaborations with industry partners like Cisco and Google

Alireza Heidarianمشاهده پروفایل

پژوهشگر ارشد

• Experimental Fluid Dynamics
• Hydrogen Energy Systems
• Applied Microfluidics
• +۷ مورد دیگر

Alireza Heidarian is a Research Fellow in the Department of Mechanical & Aerospace Engineering at Monash University, affiliated with the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC). He holds a PhD in Mechanical and Manufacturing Engineering from RMIT University and is actively engaged in experimental and numerical research in fluid dynamics and energy systems. Research Interests: Dr. Heidarian's research focuses on experimental fluid dynamics , hydrogen energy systems , and applied microfluidics . His work spans high-speed flow diagnostics, multiphase flows, and advanced energy storage technologies. He applies fundamental fluid mechanics to solve real-world challenges in clean energy, biomedical devices, and industrial systems. Key areas include turbulent boundary layers, slurry electrodes for flowable batteries, and microfluidic platforms for hydrogen storage and drug delivery. Publication Trends: His recent publications (2017–2025) reflect a consistent focus on hydrogen storage in slurry electrodes , microfluidic reactor design , and aerodynamic analysis . The work combines experimental techniques like PIV with numerical modeling, emphasizing scalability and industrial application. Topics such as microbubble generation, current collector optimization, and ground effect aerodynamics demonstrate interdisciplinary reach. Scientific Contributions: Active contributor to UN Sustainable Development Goals, particularly in clean energy and sustainable infrastructure. Secured research funding from national and international agencies for multidisciplinary projects. Open-access publications with peer-reviewed impact in journals like Journal of Power Sources , Energy , and Physics of Fluids . Advising and Grants: Dr. Heidarian is currently accepting PhD students and has supervised research in experimental fluid mechanics and energy systems. He has led projects on hydrogen storage, compressed air energy systems, and biomedical microdevices, supported by competitive grants. His collaborations span institutions and industries focused on sustainable technology development. Laboratory Affiliation: He is a key member of the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC), where he conducts advanced flow diagnostics and develops next-generation energy solutions using state-of-the-art experimental setups.

• Nuclear Engineering
• Two-Phase Flow Modeling
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Seungjin Kim serves as the Capt. James McCarthy, Jr. and Cheryl E. McCarthy Head of Nuclear Engineering and Professor of Nuclear Engineering at Purdue University's College of Engineering. His research focuses on advanced nuclear reactor technologies, thermal-hydraulic systems, and computational fluid dynamics (CFD) modeling. Key areas include two-phase flow phenomena in nuclear systems, reactor safety, and experimental validation of reactor components. He leads efforts in developing testing facilities for fast reactors and innovative irradiation environments. Kim's work emphasizes experimental and numerical analysis of multiphase flows, particularly in complex geometries like rod bundles and elbows. He has contributed to scaling analysis for sodium cartridge loops and LBE (lead-bismuth eutectic) systems, advancing reactor design and safety. His expertise extends to jet impingement in high-energy piping and interfacial area transport modeling, with applications in reactor core simulation and thermal management. His research has been published extensively in top-tier journals, covering topics such as pressure drop in wire-wrapped rod bundles, CFD validation for reactor loops, and bubble dynamics in horizontal flows. Collaborations involve developing correlations for reactor core power estimation and improving safety guidelines for high-energy fluid systems.