Find Academic Supervisors

• Bioprocess Engineering
• Metabolic Flux Analysis
• Fermentation Technology
• +7 more

Tero Eerikäinen is a University Lecturer in the Department of Bioproducts and Biosystems at Aalto University, School of Chemical Engineering. He has been actively contributing to research and education in biochemical and bioprocess engineering for decades, with a strong foundation in engineering and technology. His educational qualifications include a Doctoral degree (1993), Licentiate degree (1989), and Master's degree (1986), all in Engineering and Technology from Helsinki University of Technology. These form the cornerstone of his academic expertise. His research interests center around bioprocess engineering, particularly focusing on fermentation technologies, metabolic flux analysis, hydrodynamics of bioreactors, oxygen transfer, and crystallization processes. He investigates complex systems such as Clostridium acetobutylicum under stressed conditions and develops innovative reactor designs like airlift bioreactors with helical flow promoters to enhance performance. The analysis of his 15 most recent publications reveals a consistent trend in advancing sustainable bioprocesses, especially in biofuel (ABE) production, metabolic modeling, and process intensification. His work bridges fundamental hydrodynamics with applied biochemical engineering, aiming to improve efficiency and yield in industrial biotechnology. He has been recognized for his excellence in teaching, receiving the Vuoden 2003 Opettaja- ja Oppikirja-palkinto (Teacher and Textbook Prize) from Helsinki University of Technology. This award highlights his contribution to academic education. Eerikäinen has secured competitive funding through projects such as Fermatra (2016–2019) and POTRA (2000–2002), both funded by Business Finland, indicating strong grant acquisition skills. He has supervised at least one thesis and has been involved in doctoral thesis committees, reflecting his role in academic mentoring. His collaborative network includes institutions like Leiden University, where he served as a visiting researcher in 2019, and active participation in international symposia such as the BioProScale Symposium. His research group focuses on reactor design, metabolic modeling, and fermentation optimization, forming a multidisciplinary team addressing key challenges in bioprocessing.

Ruth CardinaelsView profile

Professor

• Rheology
• Polymer Science
• Soft Matter
• +4 more

Ruth Cardinaels is a part-time Full Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e) and a Professor in Chemical Engineering at KU Leuven. She is affiliated with the Institute for Complex Molecular Systems (ICMS) and leads research in the Processing and Performance group. Her academic background includes a PhD and Master's in Chemical Engineering from KU Leuven, both completed Summa Cum Laude . She conducted postdoctoral research at Princeton University and holds teaching credentials in natural sciences. Cardinaels' research focuses on designing multiphasic functional materials through microstructure engineering. She specializes in: Rheological and dielectric characterization of polymers, nanocomposites, and food materials In-situ flow analysis using rheo-optical techniques Development of experimental methods for real-time process monitoring Her publications demonstrate consistent focus on soft matter dynamics, with recent work emphasizing additive manufacturing processes and nanomaterial interfaces. Research frequently intersects polymer physics, fluid mechanics, and material innovation. Awards & Grants: ERC Starting Grant (2020) Mercator Fellowship, German Research Foundation (2022) Distinguished Young Rheologist Award (2015) She currently teaches Rheology and mentors researchers in the Processing and Performance laboratory, which develops advanced characterization techniques for complex fluids.

François GallaireView profile

Associate Professor

• Fluid Mechanics
• Instability Theory
• Microfluidics
• +4 more

François Gallaire is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Laboratory of Fluid Mechanics and Instabilities (LFMI) within the School of Engineering and the Institute of Mechanical Engineering. He also serves as an Associate Professor in the Teaching Department (SGM) and as a PhD program committee member for the Doctoral Program Mechanics. His office is located in Building MED, room 2 2926, at EPFL's Station 9 campus in Lausanne, Switzerland. Gallaire earned his engineering degree from Ecole Polytechnique in 1998 and a master's in Liquids Physics from Université Pierre et Marie Curie in 1999. He completed his PhD in 2002 at LadHyX on swirling flow instabilities and vortex breakdown. After six years at the Mathematics department of Université de Nice, he joined EPFL in 2009, founding the Fluid Mechanics and Instabilities Lab (LFMI). He became an associate professor in 2016 and served as teaching department director from 2018 to 2023. His research focuses on instability theory, free interface phenomena and microfluidics, with emphasis on fundamental descriptions of fluid behavior. Gallaire's work spans multiple domains including droplet dynamics, sloshing phenomena, fluid-solid interactions, thin film flows, and vortex breakdown. His laboratory investigates both theoretical aspects and practical applications of fluid mechanics, with particular interest in microfluidic systems and industrial applications. Gallaire's publication record shows a consistent focus on fluid instabilities across various configurations. His recent work demonstrates increasing sophistication in analyzing complex fluid phenomena, particularly in confined geometries and multiphase systems. The research shows strong theoretical foundations combined with experimental validation, with applications ranging from fundamental fluid physics to industrial processes and biomedical engineering. Fellow of the American Physical Society (2019) Gallaire has supervised numerous PhD students, both current and past, reflecting his commitment to academic mentoring. His teaching portfolio includes advanced courses in compressible-fluid dynamics, finite element method, hydrodynamics, and instability. He has established the LFMI as a prominent research group in fluid mechanics, with particular expertise in instability phenomena and microfluidic applications. The laboratory maintains strong collaborations with other research groups internationally and has secured funding for various research projects exploring fundamental fluid dynamics questions.

Arie H. HuijgenView profile

Researcher

• Collision Dynamics
• Computational Fluid Dynamics
• Rheology
• +3 more

Arie H. Huijgen is an active researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, specializing in computational fluid dynamics for particle and droplet interactions. His work bridges fundamental fluid mechanics with industrial applications in spray drying and waste treatment. His research focuses on non-Newtonian fluid behavior , wet particle collisions , and droplet dynamics using advanced simulation techniques like Direct Numerical Simulation (DNS) and Volume of Fluid (VoF) methods. Key interests include rheology effects, shear thinning, and liquid bridge formation in collision scenarios. Huijgen has co-authored five peer-reviewed publications since 2024, with two forthcoming 2026 papers in Chemical Engineering Science . His work demonstrates strong trends in industrial process optimization through high-fidelity simulations, particularly for systems involving power-law fluids and complex particle interactions. He actively contributes to the scientific community through conference presentations, including six recent activities at major events like AIChE. Corresponding author on multiple publications Creator of research datasets for reproducibility Collaborator with prominent researchers (Kuipers, Baltussen)

• Chemical Engineering
• Computational Fluid Dynamics
• Multiphase Flow
• +3 more

Antonio Buffo is an Associate Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He serves as a member of the College of Chemical and Materials Engineering and is an invited member of the College of Electrical and Energy Engineering. Buffo teaches various courses including Thermodynamics for Chemical Engineering, Molecular Dynamics Modeling in LAMMPS (recognized as "excellent teaching"), and Applied Physical Chemistry across multiple academic levels from Bachelor's to PhD programs. He has been consistently involved in Doctoral Colleges for Chemical Engineering programs from the 35th to the 40th cycle. Dr. Buffo's research focuses on computational approaches to chemical engineering problems, with particular expertise in mesoscopic modeling, multiphase flow, and multiscale simulation techniques. His work bridges theoretical modeling with practical industrial applications, as evidenced by his involvement in numerous research projects funded by competitive tenders and commercial contracts. His scientific work aligns with ERC sectors in Chemical Engineering, Computational Engineering, and Fluid Mechanics, contributing to UN Sustainable Development Goals related to quality education, economic growth, industry innovation, and responsible consumption. His recent publications demonstrate a strong trend toward applying advanced computational methods to complex fluid dynamics problems, with increasing emphasis on multiscale approaches that connect molecular-level phenomena with macroscopic engineering applications. The research spans diverse applications from respiratory droplet transmission to battery cell assembly and sustainable chemical processes, reflecting his ability to address both fundamental scientific questions and practical engineering challenges. Excellence in Teaching Award for Molecular Dynamics Modeling in LAMMPS Dr. Buffo has supervised twelve PhD students across multiple cycles of the Chemical Engineering program, with current advisees working on topics ranging from dissipative particle dynamics to respiratory droplet transmission and food emulsion production. His research is organized through the Multiscale modelling for materials science and process engineering research group at DISAT, where he works in the Laboratory for Multiscale and Process Modeling. He leads and participates in several significant research initiatives including the MODEM project on multiscale modeling of dense emulsions (as Scientific Manager), the BATCAT project on battery cell assembly, and the MULTIPHASE Erasmus Mundus Joint Master program, demonstrating his leadership in both academic research and international educational collaborations.

• Computational fluid dynamics
• Dissipative particle dynamics
• Mesoscopic modeling
• +6 more

Daniele Marchisio is a Full Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He serves as a Member of the Equality Committee and the University Open Access Commission. His academic journey began with a degree in Chemical Engineering from the Polytechnic University of Turin in 1997, followed by a PhD in 2001 from the same institution in collaboration with Iowa State University. His educational background includes: Bachelor's degree in Chemical Engineering (cum laude) from Polytechnic University of Turin (1997) PhD in Chemical Engineering from Polytechnic University of Turin in collaboration with Iowa State University (2001) Professor Marchisio's research focuses on multiscale computational methods for polydisperse particulate and multiphase flows. His work spans several key areas including precipitation and crystallization processes, particle aggregation and dispersion, nanoparticle formation in combustion, bubble columns, gas-liquid stirred reactors, turbulent liquid-liquid dispersions, and fluidized beds. He combines molecular dynamics with continuum modeling to develop innovative approaches in computational fluid dynamics, dissipative particle dynamics, mesoscopic modeling, and population balance methods. His research has significant applications in battery materials production and recycling, pharmaceutical processes, biomethanation, and aqueous phase reforming. His publication record demonstrates strong focus on multiphase systems , crystallization processes , and battery technology . Recent work shows increasing integration of machine learning techniques with traditional computational methods, particularly for parameter identification and optimization in complex chemical processes. His research bridges fundamental computational methods with practical industrial applications across energy, materials, and chemical engineering domains. Professor Marchisio has received several prestigious scientific awards: Most cited paper for Chemical Engineering Science (Elsevier, 2007) Sciencedirect top 25 most downloaded article (Elsevier, 2010) Abilitazione Scientifica Nazionale - prima fascia - 09/D2 (MIUR, Italy, 2014) Highly cited paper for the International Journal of Multiphase Flow (Elsevier, Netherlands, 2016) As an academic advisor, Professor Marchisio has supervised numerous PhD students working on cutting-edge research topics including magnesium hydroxide precipitation, lithium-ion battery modeling, and computational fluid dynamics applications. His research is supported by significant funding from multiple sources including European Union projects (H2020, Horizon Europe), national research programs (PRIN), and industry collaborations. Current major projects include BATCAT (Battery Cell Assembly Twin), NESSF (Non-equilibrium self-assembly of structured fluids), HPC Spoke 7, BIG-MAP, and SEArcularMINE. Professor Marchisio leads the Multiscale Modelling for Materials Science and Process Engineering research group within DISAT. His team specializes in developing integrated computational frameworks that bridge molecular-scale phenomena with continuum-level engineering applications. The group maintains strong collaborations with international institutions including Beijing University of Chemical Technology, CSIRO in Melbourne, and University College London. Their work has direct applications in sustainable engineering, clean energy technologies, and advanced materials development aligned with several UN Sustainable Development Goals.

Peter VorobieffView profile

Professor

• Fluid Dynamics
• Shock Waves
• Turbulence
• +3 more

Peter Vorobieff is a Professor and Associate Chair in the Department of Mechanical Engineering at the University of New Mexico. He also holds an adjunct appointment in the Department of Mathematics and Statistics. His research specializes in experimental fluid dynamics, focusing on multiphase flows, hydrodynamic instabilities (Richtmyer-Meshkov, Rayleigh-Bénard), turbulence, and shock wave interactions. He directs facilities including shock tubes, wind tunnels, and soap-film flow generators. Research Areas: His work spans shock-driven transitions to turbulence, particle-laden flows, renewable energy systems (e.g., falling particle solar receivers), and advanced flow diagnostics using PIV and high-speed imaging. Recent projects explore energy harvesting, agrivoltaics, and shock interactions with complex geometries. Publications: His articles emphasize shock physics, particle dynamics, and sustainable energy. Trends include experimental-computational synergy, non-intrusive diagnostics, and applications in renewable technology and material science. Teaching: ME 318L: Mechanical Measurements ME 530: Theoretical Fluid Dynamics

Richard Jefferson-LovedayView profile

Academic

• Engineering
• Aerospace Propulsion
• Multiphase Flow Simulation
• +4 more

Dr Richard Jefferson-Loveday is a Reader in Engineering at King’s College London, Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on advanced simulation techniques for complex single and multiphase flows, with applications in aerospace propulsion, continuous flow chemical reactors, and aerodynamics. Current affiliation: King’s College London (Department of Engineering) Past roles: Associate Professor at University of Nottingham, Senior Research Associate at Whittle Laboratory, University of Cambridge Research Themes: Aerospace Propulsion (gas turbines, distributed electric propulsion) Flow Control & High Performance Computing Reduced Order Modelling and Machine Learning integration Scientific Recognition: Turbomachinery Committee (IGTI) Best Paper Award Donald Julius Groen Outstanding Paper Award

Marios IoannidisView profile

Professor

• Transport in Porous Media
• Pore-Scale Modeling
• Fuel Cell Materials
• +4 more

Marios Ioannidis serves as Department Chair and Professor specializing in transport phenomena within porous materials. His research bridges fundamental pore-scale processes with macroscopic engineering applications across energy, environmental, and materials science domains. Education: Dipl. Eng. from University of Patras, Greece PhD from University of Waterloo His research focuses on pore-scale transport mechanisms in complex porous systems. Key areas include characterization of vuggy carbonate reservoirs using multi-scale experimental probes (NMR, SEM, mercury porosimetry), modeling of NAPL dissolution dynamics in contaminated aquifers, and optimization of gas diffusion layers for PEM fuel cells. His work integrates stochastic microstructure modeling with experimental validation to predict macroscopic properties like capillary pressure and mass transfer rates. Analysis of his 15 most recent publications (2004-2015) reveals consistent emphasis on porous media characterization techniques and multi-scale transport modeling . Dominant themes include fuel cell water management (22% of articles), NAPL remediation (27%), and microstructure reconstruction (33%), with strong methodological focus on pore network simulations and multi-modal experimental validation. No scientific awards were documented in the provided materials. His collaborative research involves extensive experimental work using glass micromodels, NMR relaxometry, and pore-network simulations. Current projects address gas bubble nucleation in supersaturated solutions, surfactant-enhanced contaminant dissolution, and capillary properties of fuel cell components, with applications in hydrocarbon recovery and clean energy systems.

Nick JaenssonView profile

Assistant Professor

• Non-Newtonian Fluid Mechanics
• Interfacial Rheology
• Computational Modeling
• +4 more

Nick Jaensson is an Assistant Professor in the Processing and Performance of Materials group within the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). He leads Group Jaensson and is affiliated with the Institute for Complex Molecular Systems (ICMS). His work bridges computational methods with experimental validation to advance understanding of soft materials and complex fluids. Jaensson earned his Master's degree in Biomedical Engineering from TU/e in 2012, followed by a PhD in Mechanical Engineering in 2016 with a thesis titled "Modeling interfaces and particles in viscoelastic fluids." After a year at DSM Materials Science Center, he conducted postdoctoral research at ETH Zürich before returning to TU/e as an Assistant Professor in mid-2020. His research focuses on the development and application of numerical methods for soft materials including suspensions, emulsions, and polymeric liquids. Key interests include interfacial rheology, non-Newtonian fluid mechanics, uncertainty quantification, and physics-informed machine learning. His work combines advanced computational modeling with experimental collaboration to gain fundamental insights into flow and transport processes within these materials, with applications ranging from microfluidics to large-scale industrial processing. Analysis of his recent publications reveals a strong emphasis on fiber orientation kinetics in polymer composites, viscoelastic flow modeling, and the integration of machine learning with physics-based models. His work spans both fundamental fluid dynamics and practical industrial applications, with particular attention to experimental validation of computational models. Jaensson contributes to several research projects including the Dutch Polymer Institute (DPI) Project No. 840 (ANGLE) and the DAMOCLES research project funded by the Eindhoven Artificial Intelligence Systems Institute. His work demonstrates strong industry-academia collaboration, particularly with companies involved in polymer processing and material science. As an educator, Jaensson teaches courses including Interfacial Transport Phenomena in Engineering Flows, Structure and Flow, Advanced Computational Continuum Mechanics, and Principles of Design and Programming. He leads research in the Processing and Performance group, focusing on computational methods for soft materials, with particular strength in connecting microstructural properties to macroscopic material behavior.

Zhi-Gang FengView profile

Associate Professor

• Multiphase Flow
• Computational Fluid Dynamics
• Heat and Mass Transfer
• +5 more

Zhi-Gang Feng, Ph.D. is an Associate Professor in the Mechanical Engineering Department at the University of Texas at San Antonio (UTSA), where he is affiliated with the Margie and Bill Klesse College of Engineering and Integrated Design. He leads the Multiphase Flow Simulation Lab, focusing on computational fluid dynamics and multiphase flow phenomena. Dr. Feng received his educational background from prestigious institutions: B.S. in Mechanical Engineering and Applied Mathematics from Shanghai Jiaotong University M.S. in Mechanical Engineering and Computer Science from Tulane University Ph.D. in Mechanical Engineering from Tulane University Dr. Feng's research spans multiple areas within fluid dynamics and heat transfer, with particular expertise in multiphase flows , computational fluid dynamics , and particle-laden flows . His work encompasses both fundamental theoretical developments and practical applications across various engineering domains. He has made significant contributions to understanding drag forces on non-spherical particles , heat transfer in microchannel systems , granular flow dynamics , and biomedical fluid mechanics . His research integrates advanced numerical methods including immersed boundary methods, lattice Boltzmann methods, and direct numerical simulation techniques to address complex fluid-structure interaction problems. Dr. Feng's publication record demonstrates a consistent trajectory of impactful research, with recent work focusing on cutting-edge applications such as graphene-water nanofluids for thermal management, microchannel heat sinks, and drug delivery systems. His research bridges fundamental fluid mechanics with practical engineering applications in energy systems, biomedical devices, and industrial processes. As the director of the Multiphase Flow Simulation Lab at UTSA, Dr. Feng leads a research team dedicated to advancing computational methods for multiphase flow phenomena. His lab employs high-fidelity numerical simulations to investigate complex fluid dynamics problems that are challenging to study through experimental methods alone.

Wojciech KowalczykView profile

Professor

• Biomechanics
• Biofluid mechanics
• Thermo-fluid mechanics
• +5 more

Prof. Dr.-Ing. Wojciech Kowalczyk serves as Professor of Mechanics/Biomechanics and Chairholder of the Chair of Mechanics and Robotics at the Department of Mechanical Engineering and Process Engineering, Faculty of Engineering Sciences, University of Duisburg-Essen, Germany, a position he has held since November 2007. His academic journey includes: University of Duisburg-Essen (since 11/2007): Chair of Mechanics and Robotics, Professor for Mechanics/Biomechanics Friedrich-Alexander-University of Erlangen-Nuremberg (10/2006 - 11/2007): Group Leader in Computational Fluid Dynamics and Theoretical Process Fluid Mechanics Technical University of Munich (10/2004 - 09/2006): Group Leader in Fluid Mechanics; awarded Doctoral Degree (Dr.-Ing.) in July 2004 Koszalin University of Technology (Poland) (10/1997 - 07/2001): Research Associate at Chair of Control System; received Diploma in Mechanical Engineering in July 1997 Professor Kowalczyk's research spans critical domains including Biomechanics , Biofluid mechanics , Thermo-fluid mechanics , Multiphase flow (with phase changes and particle dynamics), Computational Fluid Dynamics (CFD) , Computational Structural Dynamics (CSD) , Fluid-Structure Interaction (FSI) , and High Performance Computing (HPC) , emphasizing advanced simulation techniques for complex engineering challenges. He actively teaches core courses such as Mechanics 1-3, Biomechanics, Biofluidmechanics, and Finite Element Method across semesters while leading the Computational Sciences and Simulation (CSS) research group and contributing to the Center for Energy Research (CER.UDE).

Hesameddin FatehiView profile

Senior Lecturer

• Fluid Mechanics
• Energy Engineering
• Energy Systems
• +7 more

Hesameddin Fatehi is a Senior Lecturer at Lund University's Faculty of Engineering (LTH), specializing in Fluid Mechanics with a focus on energy sciences. He is an active member of the LTH Profile Area: The Energy Transition and the LTH Profile Area: Aerosols, contributing to research in sustainable energy technologies. His research interests include: Computational Fluid Dynamics Multiphase Flow Multi-physics Modeling Reaction Kinetics Safety of energy carriers Hydrogen combustion technologies Biomass conversion processes Dr. Fatehi's recent work focuses on zero-emission hydrogen internal combustion engines, innovative biomass conversion technologies incorporating nitrogen and carbon dioxide reforming, and safety aspects of new energy carriers. His research output shows a strong trend toward sustainable energy solutions with emphasis on computational modeling of complex fluid dynamics problems in energy applications. He has been involved in 10 research projects, including: Diagnosis of thermal runaway in batteries using lasers (2025-2029) CFD and Data-Driven Modelling of Thermal Events in Batteries (2024-2028) MINICOR: MILD Combustion with Nitrogen and Carbon Dioxide Reforming (Horizon Europe, 2023-2028) Computational Fluid Dynamics for reactive transport in porous media (2023-2028) Dr. Fatehi teaches courses on computational fluid dynamics and biomass conversion, and has supervised multiple graduate research projects. His work contributes to UN Sustainable Development Goals in energy sustainability and has been featured in 3 news outlets with attention from researchers worldwide.

Christopher LeonardiView profile

Associate Professor

• Computational Mechanics
• Fluid-Solid Interactions
• Multiphase Flows
• +3 more

Dr. Christopher Leonardi is an Associate Professor and Director of Teaching and Learning at the School of Mechanical and Mining Engineering, The University of Queensland (UQ). He is affiliated with the Centre for Multiscale Energy Systems and has extensive industry experience as an engineering consultant with Rockfield Technologies Australia. PhD in Computational Mechanics, University of Wales, Swansea BE(Hons) in Mechanical Engineering, James Cook University (First Class Honours, University Medal) Research Interests focus on computational models for fluid-solid interactions, including: Suspension Transport Porous Media Flow Multiphase Flows Poromechanics Applications in Coal Seam Gas (CSG) and Hydrogen Production His work spans unconventional reservoirs, mineral extraction, and hydrogen formation via methane pyrolysis, utilizing methods like Lattice Boltzmann, Discrete Element, and Finite Element Analysis. Collaborations include Pawsey Supercomputing Centre. Scientific Awards include: Australian Awards for University Teaching (AAUT) Citation, 2019 UQ Citation for Outstanding Contributions to Student Learning, 2018 Advance Queensland Industry Research Fellowship (Mid-Career) Teaching involves coordinating MECH3780 Computational Mechanics and lecturing ENGG1001 Programming for Engineers . His team includes postdoctoral and postgraduate researchers, with significant industry partnerships.

Romain MONCHAUXView profile

Associate Professor

• Fluid Mechanics
• Turbulence
• Transition to Turbulence
• +2 more

Romain MONCHAUX is an Associate Professor at ENSTA Paris, Institut Polytechnique de Paris, affiliated with the Mechanics Unit (UME) and Fluid Dynamics and Acoustics (DA) laboratory. His research focuses on experimental modeling of fundamental mechanisms in fluid mechanics, particularly developed turbulence, transition to turbulence, and particle-laden flows. Expertise : Turbulence dynamics, fluid-structure interactions, laboratory-scale modeling of complex flows Projects : Investigates turbulent flow instabilities and multiphase flow behaviors through controlled experiments Laboratory : Fluid Dynamics and Acoustics (DA), a key research group within the Mechanics Unit (UME)