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Zhu LailaiView profile

Assistant Professor

• Fluid-Structure Interactions
• Active Matter
• Bio-inspired Design
• +6 more

Dr. Zhu Lailai serves as Assistant Professor in the Department of Mechanical Engineering at the National University of Singapore (NUS), appointed in January 2020. His research bridges fundamental fluid mechanics with cutting-edge engineering applications through computational and theoretical approaches. Dr. Zhu holds a PhD from KTH Royal Institute of Technology (Sweden) and completed postdoctoral training at Princeton University. His research program centers on: Low-Reynolds-number fluid-structure interactions and bio-inspired adaptive systems Active matter dynamics (Janus colloids, active droplets, flagella/cilia) Intelligent fluids integrating machine learning for fluid dynamics Microrobotics with reinforcement learning-based chemotactic navigation Non-Newtonian/multiphase flows and microfluidics applications Analysis of his 2017-2025 publications reveals a clear trajectory toward AI-enhanced fluid mechanics, evolving from foundational theoretical models to machine learning integration. Recent work emphasizes foundation models for fluid dynamics prediction and topology-adaptive microrobotic navigation, demonstrating interdisciplinary convergence of physics, AI, and bionics. Scientific Awards: No major scientific awards specified in source materials Advising and Grants: While specific advisees and grants aren't detailed, his active publication record across high-impact journals (Nature Communications, Journal of Fluid Mechanics) indicates ongoing supervised research and likely grant funding through NUS and collaborative projects. Research Group: Dr. Zhu leads a computational/theoretical research team at NUS investigating active and intelligent fluids, with current projects on PCM thermal systems, microrobotic navigation, and active matter phase transitions, collaborating with experimentalists globally.

Leonardo ChamorroView profile

Professor

• Aero/Hydrodynamics
• Wind and Hydrokinetic Energy
• Advanced Flow Diagnostics
• +5 more

Leonardo Chamorro is a Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC), with affiliations in Earth Science and Environmental Change, Aerospace Engineering, and Civil and Environmental Engineering. His research focuses on fluid dynamics, renewable energy systems, and turbulence modeling. He holds a Ph.D. in Civil Engineering from the University of Minnesota (2010) and has held academic positions at UIUC since 2013, advancing to Full Professor in 2024. Chamorro's work spans experimental and theoretical investigations of wind and hydrokinetic energy, geophysical flows, and particle dynamics. His research group, the Renewable Energy & Turbulent Environment Group (RE-TE-G), explores topics like tidal flow multifractality, vortex dynamics, and bio-inspired robotics. Key achievements include Nature and Lab on a Chip cover articles, and contributions to turbulence modeling for tidal energy systems. He has received awards such as the Best Paper Award in Energies (2018) and recognition for pandemic-related research (2021). His editorial roles include associate editorships at journals like Journal of Renewable and Sustainable Energy and Frontiers in Energy Research . Chamorro has supervised numerous graduate students and postdocs, contributing to over 150 peer-reviewed publications since 2009.

• Meso-scale materials
• Soft matter physics
• Granular materials
• +7 more

Associate Professor Mohammad Saadatfar is affiliated with the School of Civil Engineering at The University of Sydney. His research focuses on meso-scale materials, combining experiments with simulations to address challenges in environmental science, biomedical engineering, and advanced materials design. Key areas include the study of cellular solids, granular materials, and meta-materials. His work integrates physics, engineering, and biology, with applications to CO₂ geo-sequestration, bone implants, and mechanical meta-materials. He uses X-ray tomography, FE simulations, and topological analysis to explore material behavior. Recent publications span topics like additive manufactured foams, CO₂ flow dynamics in sandstone, and biomimetic wood structures. His contributions highlight interdisciplinary approaches to material science and engineering challenges. No scientific awards or student advisement details are explicitly mentioned in the provided text.

Dimitrios TsaoulidisView profile

Senior Lecturer

• Clean Energy
• Process Intensification
• Multiphase Flow Dynamics
• +6 more

Dimitrios Tsaoulidis is a Senior Lecturer in Chemical Engineering at the University of Surrey and an Honorary Lecturer at University College London . He holds a PhD in Chemical/Nuclear Engineering and a Diploma in Chemical Engineering. University roles: Academic Integrity Officer, Senior Personal Tutor, Disability & Neurodiversity Representative Research spans clean energy (nuclear, bio, solar), healthcare (bioprocess scalability), and manufacturing using process intensification and microfluidics . His work combines experimental investigation , CFD simulations , and scale-up optimization for multiphase reactors . Notable research trends include: 15+ publications (2012–2023) on uranium extraction , biodiesel production , and pharmaceutical microfluidics , with grants from UKRI and Innovate UK . Scientific Awards : David Newton’s Award for Sustainability (UCL) Springer Thesis Award Fellow of the Higher Education Academy (FHEA) Associate Member of the Institution of Chemical Engineers (AMIChemE) Research Collaborations : Academic : Prof Panagiota Angeli (UCL), Prof Eric Fraga (UCL), Dr Maryam Parhizkar (UCL) Industrial : UK Atomic Energy Authority, National Nuclear Laboratory, GSK, Greenergy Ltd, Armfield Dr Tsaoulidis supervises PhD students (e.g., Mustapha Hamdan, Anna Tsitouridou) and PDRA staff (e.g., Dr Jamshid Zarkesh) in projects related to solar energy systems , nuclear fuel cycles , and pharmaceutical automation .

• Multiphase Flows
• Fluid-Structure Interaction
• Computational Fluid Dynamics
• +3 more

Yan Delaure is Associate Professor of Fluid Mechanics at Dublin City University's School of Mechanical and Manufacturing Engineering and Deputy Director of the DCU Water Institute. His research focuses on multiphase flows, environmental hydraulics, and computational fluid dynamics applications in wastewater treatment and marine systems. Research includes microbubble dynamics for aeration, fluid-structure interactions in deformable systems, and biomimetic antifouling solutions. Recent publications explore advanced simulation methods for turbulent flows and additive manufacturing process optimization.

Ali KosarView profile

Professor

• Microscale and Nanoscale Heat Transfer
• Microfluidics
• Cavitation
• +5 more

Dr. Ali Kosar is a Professor at Sabanci University's Mechatronics Engineering Program , with affiliations in Materials Science & Nanoengineering and Molecular Biology, Genetics & Bioengineering. As Co-Director of the Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN) and Senior Researcher at SUNUM Nanotechnology Center, he leads a multidisciplinary research group spanning 30+ members. His work bridges microfluidics, heat transfer , and biomedical device design , focusing on cavitation-on-a-chip systems and microscale thermal management. Key research themes: Micro/Nanoscale Heat Transfer, Cavitation Dynamics, Biomedical Microdevices, Energy Applications Labs: Microfluidics and Microthermal Systems Laboratory, EFSUN, SUNUM His 175+ journal articles (h-index: 33) appear in journals like Physics of Fluids and Lab on a Chip , with recent work featured in Advanced NanoBioMed Research and Biosensors . He serves as Associate Editor of Applied Thermal Engineering and Subject Editor for Advanced Materials Interfaces . Scientific awards include ASME Fellow , TÜBA Membership , and multiple conference honors. His team has secured substantial national/international grants and developed technologies like the SUTAB (Sabanci University Tissue Ablating Bubbles) system.

Kamaljit SinghView profile

Associate Professor

• Multiphase flow
• Digital rock physics
• Porous media
• +9 more

Kamaljit Singh is an Associate Professor at the Institute for GeoEnergy Engineering (IGE) within the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University in Edinburgh, UK. He has held this position since 2021, after serving as an Assistant Professor at the same institution from 2019 to 2021. Prior to joining Heriot-Watt, he held research positions at Imperial College London, the European Synchrotron Radiation Facility in France, and the Max-Planck Institute in Germany. His research employs advanced imaging techniques to study fluid dynamics in porous media with applications to energy storage and environmental challenges. Dr. Singh's educational background includes: PhD in Civil Engineering from the University of New South Wales at Australian Defence Force Academy, Australia (2004-2009) M.E. in Environmental Engineering from Punjab Engineering College/Panjab University, India (2000-2002) B.E. in Civil Engineering from GNE/Punjab Technical University, India (1996-2000) His primary research focuses on 3D imaging of fluid flow in permeable media using both in-house and synchrotron X-ray micro-CT. His current projects investigate H 2 and CO 2 storage in subsurface rocks, pore-to-core scale fluid displacement dynamics, wettability effects on multiphase flow, multi-scale rock characterization, and thermoregulation in termite nests for bio-inspired building design. Dr. Singh's work directly contributes to UN Sustainable Development Goals related to clean energy and climate action, with his research group ( https://digiporflow.site.hw.ac.uk ) advancing digital imaging techniques for porous flow systems. Analysis of Dr. Singh's recent publications (2024-2025) reveals a strong emphasis on hydrogen storage mechanics in geological formations, particularly examining permeability evolution and deformation in sandstones under cyclic loading. His work also maintains significant focus on CO 2 sequestration in carbonate reservoirs and has produced notable interdisciplinary research on termite nest ventilation as a model for sustainable building design. His methodological approach consistently integrates advanced imaging techniques with computational modeling to address energy transition challenges. Dr. Singh serves as Global Course Leader for Reservoir Engineering (MSc) and teaches Introduction to Petroleum Engineering (undergraduate). His research has received considerable media attention, including coverage in The New York Times, The Straits Times, and Süddeutsche Zeitung for his work on bio-inspired ventilation systems. With 41 research publications, 4 datasets, and 7 invited talks, he maintains an active research program focused on solving critical challenges in subsurface energy storage and sustainable engineering.

Lukasz Laniewski-WollkView profile

Research Fellow

• Computational Fluid Dynamics
• Lattice Boltzmann Methods
• Aerodynamic Optimization
• +3 more

Dr. Lukasz Laniewski-Wollk serves as an Honorary Fellow at the School of Mechanical and Mining Engineering, The University of Queensland, where he conducts advanced research in computational fluid dynamics and optimization methodologies. His work bridges theoretical development with practical applications in energy systems and resource extraction. His primary research domains encompass: Computational Fluid Dynamics Lattice Boltzmann Methods Aerodynamic Optimization Multiphase Flow Fracture Mechanics Particle Transport Analysis of his 2020-2025 publications reveals a concentrated effort on developing high-fidelity computational frameworks for complex fluid phenomena, particularly in multiphase systems and fractured media. His methodologies demonstrate strong interdisciplinary integration between fluid mechanics, materials science, and petroleum engineering, with significant contributions to lattice Boltzmann variants for non-Newtonian fluids and fracture permeability quantification. Collaborative patterns indicate sustained partnerships with UQ's computational mechanics group and international energy research consortia.

Mostafa MobliView profile

Lecturer

• Numerical Methods
• Fluid Dynamics
• Heat Transfer
• +3 more

Mostafa Mobli is an Instructor and Lab Director at the Department of Mechanical Engineering within the Molinaroli College of Engineering and Computing at the University of South Carolina. His research focuses on developing numerical solutions for complex thermo-fluid problems involving reactive flows, phase change phenomena at micro/nano scales, and thermal analysis of glow discharge systems. He specializes in computational methods for fluid flow and heat transfer applications relevant to cooling technologies and plasma simulations. Education highlights: Ph.D. in Mechanical Engineering, University of South Carolina (2018) M.S. in Mechanical Engineering, University of South Carolina (2014) B.S. in Mechanical Engineering, University of Tehran (2012) Recent research trends include advanced thermal modeling of boiling processes and glow discharge systems, with publications demonstrating consistent focus on interfacial heat transfer, bubble dynamics, and high-pressure plasma behavior. His computational work provides insights into energy transfer efficiency in industrial applications. As laboratory director, he oversees undergraduate lab development and maintenance while serving on curriculum development committees. He actively advises graduate students including Malhar Joshi and Daniel Monteith on topics ranging from microchannel heat removal to bio-inspired aerodynamic designs.

• Fluid Dynamics
• Biophysics
• Numerical Simulation
• +3 more

Yuan-Nan Young is a Professor in the Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT). His research focuses on fluid dynamics, biomechanics, and numerical simulation, with applications in microfluidics, mechanobiology, and soft matter physics. He has led multiple National Science Foundation-funded projects investigating topics like primary cilia mechanics, lipid bilayer dynamics, and active matter systems. Dr. Young has extensive publication history with over 79 peer-reviewed articles and 7 federal grants. His work bridges theoretical, computational, and experimental approaches, particularly in understanding flow sensing mechanisms in biological systems and designing smart micro/nano systems. Notable contributions include studies on microswimmer locomotion, vesicle hydrodynamics, and mechanosensitive channel gating. Grants & Projects: Collaborative Research: Mathematical, Numerical, and Experimental Investigation of Flow Sensing by the Primary Cilium (NSF, 2020-2025) Investigations on Lipid Bilayer-Solid Interactions (NSF, 2016-2019) Surfactant and Elastic Fiber Dynamics (NSF, 2007-2011) Research Highlights: Developed models for motor-driven centrosomal aster dynamics and primary cilia mechanics Advanced understanding of squirmers in confined geometries and magnetic actuation of vesicles Explored adaptive micro-robotics using AI-driven context detection Labs & Collaborations: Active collaborations in biomimetic systems, with experimental partnerships in microfluidics and soft matter characterization. Research group focuses on translating computational findings to biomedical and engineering applications.

Ram V IyerView profile

Professor

• Systems and Control Theory
• Smart Materials and Structures
• Hysteresis Modeling
• +5 more

Ram V. Iyer is a Professor in the Department of Mathematics and Statistics at Texas Tech University (College of Arts and Sciences). His research spans systems and control theory, smart materials modeling, biomedical optics, and cybersecurity of networked critical infrastructure systems. Education: Indian Institute of Technology, Bombay (undergraduate scholarship 1986-1990) Appointments: Program Committee roles (SPIE, IEEE, SIAM) and editorial/reviewing duties Research interests include: Smart Materials: Hysteresis modeling in magnetostrictive actuators, energy harvesting schemes with University of Sannio. Biomedical Applications: Custom contact lenses for keratoconic patients, smoothing spline methods for corneal reconstruction, low-Reynolds capillary flow analysis. Cybersecurity: Physical constraints-based defense for infrastructure systems (pipelines, smart grids). Control Systems: Hypersonic/autonomous vehicle control, insect-vision inspired navigation sensors. Recent publications focus on corneal imaging algorithms, hysteresis compensation, UAV control under wind conditions, and biharmonic modeling for contact lenses. Scientific awards include multiple Air Force Fellowships, Phi Beta Kappa Professor of the Year (2008, 2015, 2018), and NSF grants for cybersecurity and biomedical research. Advises PhD and MS students in control theory, magnetostrictive systems, and ocular aberration correction. Collaborates with University of Sannio (Italy) through the MATH in ITALY program, teaching math courses in Benevento while incorporating cultural excursions (Pompeii, Amalfi Coast). Holds inventions like the Hybrid Motor and patents related to contact lens design.

• Thermal Physics
• Fluid Dynamics
• Heat Transfer
• +3 more

Sergei Sazhin is Professor of Thermal Physics at the University of Brighton's School of Architecture, Technology and Engineering. His research focuses on numerical and asymptotic modeling of fluid dynamics, heat/mass transfer, and combustion processes in fuel sprays, with particular expertise in droplet heating and evaporation phenomena. Education includes a PhD in 'Modelling of natural radioemissions in the Earth's magnetosphere' from St. Petersburg State University (1977), Master's degree from the same institution (1972), and additional qualifications from University of Brighton (1997) and University of Sheffield (1992). Research interests span thermal physics, spray modeling, droplet evaporation, combustion processes in Diesel and gasoline systems, and multi-component fuel droplet behavior. His work combines theoretical modeling with experimental validation to advance energy efficiency in combustion systems. Recent publications demonstrate ongoing work in advanced droplet dynamics modeling, with articles focusing on bi-component droplet behavior, micro-explosion phenomena, and surface-droplet interactions. This research has applications in automotive engineering and renewable energy systems. Significant projects include 'Heating and evaporation of droplets with nano-particles' (Royal Society funded), 'Investigation of vortex ring-like structures in internal combustion engines' (EPSRC), and 'Modelling of sprays for medical and automotive applications' (Royal Society).

Sara MoghtadernejadView profile

Associate Professor

• Multiphase Flow
• Powder Technology
• Additive Manufacturing
• +7 more

Dr. Sara Moghtadernejad is an Associate Professor and Undergraduate Advisor in the Department of Chemical Engineering at California State University Long Beach (CSULB), where she has held the position since Fall 2018. In Fall 2023, she was granted early tenure and promoted. She holds a PhD in Mechanical Engineering from Concordia University (Canada), an MS from the University of Queensland (Australia), and a BS in Chemical Engineering from Sharif University of Technology (Iran). Prior to CSULB, she held postdoctoral roles at McGill University’s Biomimetic Surface Engineering Lab and Rutgers University’s NSF Engineering Research Center on Structured Organic Particulate Systems (CSOPS). Her research focuses on multiphase flow, powder technology, additive manufacturing, and pharmaceutical manufacturing, addressing industrial challenges through interdisciplinary approaches. The Multiphase Flow Lab (MFL) she directs emphasizes practical applications, employing advanced experimental setups and numerical/statistical analyses. Key collaborators include the FDA, AFRL, and companies like Johnson & Johnson and 3M. Her work spans pharmaceutical process optimization, metal powder characterization for automotive/aerospace 3D printing, aerospace icing prevention, and oil/gas industry corrosion mitigation. Moghtadernejad’s expertise extends to regulatory affairs and HSE (Health, Safety, Environment), with contributions to risk management frameworks and compliance documentation. She has been recognized as a Beach Mentor (2021) and holds certifications in advanced simulation tools and professional engineering. Her lab collaborates with industries across aerospace, pharmaceuticals, and energy sectors, emphasizing sustainable solutions and technological innovation. Her educational background includes training in HAZOP studies, process simulation (HYSYS), and multiphysics modeling. She has supervised industry partnerships and training programs for FDA and pharmaceutical companies, emphasizing continuous manufacturing and process development. The MFL’s research outputs aim to enhance material performance, operational efficiency, and safety standards across multiple industries.

Yun LiuView profile

Associate Professor

• Bio-fluid mechanics
• Renewable energy
• Three-dimensional flow measurement/visualization
• +4 more

Yun (Tom) Liu is an Associate Professor of Mechanical Engineering at Purdue University Northwest, specializing in fluid mechanics and renewable energy. He earned his Ph.D. from Purdue University (2016) and joined PNW in 2017. His research focuses on bio-fluid mechanics, 3D flow visualization, and multiphase systems, with notable work on insect flight dynamics and wind turbine wakes. Education: Ph.D. in Mechanical Engineering, Purdue University, 2016 M.S. in Mechanical Engineering, University of Science and Technology of China, 2011 B.S. in Mechanical Engineering, University of Science and Technology of China, 2008 Research Interests: Combines experimental and numerical methods to study complex flows in biological systems, renewable energy, and industrial processes. Key areas include: Insect flight aerodynamics using Schlieren photography Wind turbine wake behavior and wind farm optimization Supercavitation and underwater propulsion systems Gas-stirred ladle furnace hydrodynamics Awards & Grants: NSF Major Research Instrumentation Grant (2019) Catalyst Grant Award ($7K), PNW (2018) Proposal Submission Grant, PNW (2020) Lab & Teams: Leads experimental fluid dynamics research using advanced techniques like PIV, Schlieren imaging, and neural network modeling. Collaborates on bio-inspired design and renewable energy systems.

Yongmann ChungView profile

Associate Professor

• Computational Fluid Dynamics
• Turbulence Modeling
• Flow Control and Drag Reduction
• +4 more

Yongmann Chung is an Associate Professor at the School of Engineering, University of Warwick. His research focuses on Computational Fluid Dynamics (CFD), turbulence modeling, and flow control with applications in aerospace engineering and electrochemistry. He specializes in Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) of complex flows, including micro-fluid dynamics in electrochemical systems and drag reduction strategies. His work spans unsteady turbulent flows, heat transfer, and aerodynamic phenomena in systems like flying cars and quadcopters. Teaching interests include fluid mechanics (ES2A7), computational fluid dynamics (ES440), and scientific computing (MA5P9). Recent publications explore battery health prediction using graph neural networks, vortex ring state analysis, and computational models for droplet dispersion in public spaces. Chung’s research also addresses industrial challenges such as cavitation erosion monitoring and turbulent flow control via Lorentz force actuation. Office hours are Fridays 10 am–12 pm during term time. He advises projects and grants in fluid dynamics and thermal engineering, with a focus on both fundamental turbulence research and applied energy systems. His work extends to bio-inspired design, exemplified by studies on dolphin kick swimmers, and environmental health modeling for airborne disease transmission.