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Eleuterio F. ToroView profile

Professor

• Computational Fluid Dynamics
• Numerical Methods for Partial Differential Equations
• Hyperbolic Balance Laws
• +7 more

Eleuterio F. Toro is a Professor at the University of Trento, Italy, affiliated with the Department of Civil, Environmental and Mechanical Engineering within the College of Engineering. He is internationally recognized for his pioneering work in computational fluid dynamics and numerical methods for partial differential equations, particularly hyperbolic balance laws. His development of high-order schemes such as ADER, HLLC, and WAF has significantly advanced simulation capabilities in science and engineering. BSc Honours in Pure Mathematics, University of Warwick (1977) MSc in Applicable Mathematics, University of Dundee (1978) PhD in Computational Mathematics, University of Teesside (1982) Doctor Honoris Causa, Universidad de la Frontera, Chile (2012) His research focuses on high-resolution numerical methods, shock-capturing techniques, and more recently, the mathematical modeling of cranio-spinal fluid dynamics and its implications in neurodegenerative diseases such as Multiple Sclerosis, Parkinson’s, and Meniere’s disease. He promotes a holistic modeling approach integrating arterial blood, venous blood, interstitial fluid, cerebrospinal fluid, and the brain’s lymphatic system. The analysis of his recent publications reveals a strong trend toward interdisciplinary applications of numerical methods in biomedical contexts, especially neurofluid dynamics. His earlier works laid the foundation for modern computational fluid dynamics, while recent efforts bridge mathematics, engineering, and medicine. Scientific Awards: Doctor Honoris Causa, Universidad de la Frontera (2012) Officer of the Order of the British Empire (OBE) Toro has advised numerous students and postdoctoral researchers and has collaborated extensively with academics and medical professionals across Europe, the USA, and Chile. His work is supported by international conferences, workshops, and research collaborations. He has organized and taught intensive short courses, such as the Trento Winter School on Numerical Methods, and delivered plenary lectures at major conferences including ISMRM and CMBE. He leads research initiatives centered on mathematical modeling of body-fluid interactions, particularly in the central nervous system. His team develops computational frameworks to simulate neurovascular dynamics and test hypotheses linking venous anomalies to neurological diseases.

• Engineering Education
• Mechanical Engineering
• Microfluidics
• +5 more

Dr. Darson Li is a Senior Lecturer in the School of Mechanical and Manufacturing Engineering at UNSW Sydney. His research focuses on engineering education innovations, biomedical fluid mechanics, and advanced materials for drug delivery. He holds a PhD in Mechanical Engineering from UNSW and has held academic roles at UNSW and Macquarie University since 2013. Education: PhD in Mechanical Engineering (UNSW, 2019) Bachelor of Engineering (Mechanical Engineering) with First Class Honours and University Medal (UNSW, 2015) Bachelor of Commerce (Accounting and Finance) (UNSW, 2015) Research interests include engineering pedagogy, nanoparticle-based therapies, microfluidics, and discrete element modeling. He has received awards such as the University Medal (2015), Australian Postgraduate Award (2015), and multiple UNSW Dean’s Awards. His articles address AI in engineering education, cardiovascular modeling, and nanofluidics. He leads grants like the 2024 Faculty of Engineering EFFECT Grant ($20,000) for 3D CAD plagiarism detection. Currently supervises PhD students in STEM diversity, biomechanics, and coronary artery modeling. Engagement roles include Co-chair of the UNSW Early Career Academics Network and member of the Australasian Association for Engineering Education. Teaches courses like MECH3110 Mechanical Design and MMAN1130 Design and Manufacturing. Labs/Teams: Active in UNSW’s Engineering Education Focused Communities and collaborates with industry on drug delivery systems and sustainable materials.

Miek SchlangenView profile

Researcher

• Food Texture Analysis
• Food Mechanical Properties
• Machine Learning Applications in Food Science
• +3 more

Miek Schlangen is a postdoctoral researcher at SDU FOOD MATTERS (University of Southern Denmark), specializing in food texture engineering, mechanical properties of meat analogues, and machine learning applications in food science. She obtained her PhD in Food Process Engineering from Wageningen University (2024), focusing on dry fractionation of plant proteins, transglutaminase crosslinking, and structuring into meat analogues. Active in AI-driven hierarchical food structure design (FIBROUSNESS project, 2024-2027) Developed image analysis methods for fibrousness quantification Expert in mechanical anisotropy assessment of meat analogues Research Interests: Her work bridges food biophysics, advanced processing technologies, and computational modeling to create plant-based meat alternatives with optimized structural and textural properties. Key focus areas include: Multiscale fibrousness characterization Enzymatic protein modification Machine learning for rheological prediction Polysaccharide-protein interactions Non-linear food material behavior Endogenous starch utilization Scientific Contributions: Miek's research output includes 11 publications (2025-2021) covering meat analogue development, plant protein structuring, and sustainable ingredient applications. Her work has received significant attention with 3 citations in 2025 and 15 citations in 2024. 2023 - Honorable Mention, Women in Science Rising Talent Prize 2022 - Structural characterization of plant-based meat replacers 2021 - Texture evaluation methodology review Collaborative Network: Maintains active collaborations with researchers at Wageningen University and SDU Biotechnology, with external partnerships across Europe and Asia. Current work focuses on quantitative relationships between mechanical anisotropy, macrostructure, and microstructure in meat analogues.

Ben Bond-LambertyView profile

Researcher

• Carbon cycling
• Disturbance effects
• Ecosystem respiration
• +2 more

Ben Bond-Lamberty is a research scientist at the Joint Global Change Research Institute (JGCRI), a collaboration between Pacific Northwest National Laboratory and the University of Maryland in College Park. His work focuses on carbon and nutrient cycling in terrestrial ecosystems, particularly disturbances (e.g., wildfires), ecosystem respiration, and multiscale modeling to understand climate feedbacks. Education: PhD in Forest Ecosystem Ecology, University of Wisconsin—Madison, 2003 BA in History and Computer Science, Williams College, 1993 Research interests span forest ecology, carbon cycle dynamics, and climate change impacts. Bond-Lamberty investigates how disturbances alter forest carbon cycling, the response of soil respiration to warming, and the development of scalable ecological models. His interdisciplinary approach integrates field data, global databases, and computational tools to address ecosystem-climate interactions. Publications emphasize soil respiration, forest resilience, and carbon-climate feedbacks. Recent articles show a trend toward large-scale data synthesis (e.g., global soil respiration databases), model-data integration, and methodological innovations for measuring ecosystem processes. Studies frequently address disturbance legacies, moisture effects on carbon fluxes, and coastal ecosystem vulnerabilities. Scientific awards and recognition: Fellow, American Association for the Advancement of Science (AAAS) Bond-Lamberty leads collaborative projects at JGCRI, contributing to open-science initiatives and community data standards. He serves as an editor for Ecosystems and Global Biogeochemical Cycles and is a member of the American Geophysical Union and Ecological Society of America.

Guillaume ColasView profile

Researcher

• Multiscale Tribology
• Multi-Environment Tribology
• Dry Lubrication
• +3 more

Guillaume Colas is a CNRS Research Scientist at FEMTO-ST Institute (France), specializing in multiscale and multi-environment tribology, dry lubrication, tribo/mechano-chemistry, and space tribology. He leads the MINAMAS team within the MN2S department. His career includes postdoctoral research at LaMCoS (INSA Lyon) and the University of Toronto (Canada), focusing on nanotribology and advanced materials characterization. His research addresses tribological material robustness under environmental changes, emphasizing mechano-chemical interactions and predictive modeling. Education: PhD from LaMCoS, INSA Lyon; predoctoral studies at ENSMM and University of Franche-Comté. Research Focus: Space tribology, nanomechanics of 2D materials, bulk metallic glasses, and environmental tribology. Publications highlight advancements in friction anisotropy, tribochemical mechanisms, and sustainable lubrication solutions. Collaborations with space agencies and industries ensure applied relevance. His work bridges experimental and predictive modeling to reduce friction-related environmental and economic costs. Key contributions include robotic-based SEM characterization of wear particles and fluorination-enhanced boron nitride applications. Current projects emphasize material design for extreme environments and multiphysics tribological interfaces.

Esben LindgaardView profile

Professor

• Composite Materials
• Wind Turbine Engineering
• Fracture Mechanics
• +3 more

Esben Lindgaard is a Professor at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University. His research focuses on composite materials, fracture mechanics, and fatigue-driven damage in wind turbine structures. Projects: CIRCWIND (Circular material solutions for wind turbines), MulFat (Multiscale fatigue modeling), MADE4WIND (Innovative floating wind components). Research: Specializes in delamination behavior, crack propagation, and computational modeling of composite structures under static and fatigue loading. His recent work explores deep learning for delamination traction fields, cohesive element fatigue modeling, and binder-stabilized fabric forming simulations. Collaborates extensively with industry partners and contributes to open-access datasets and software tools. Awards: AAU Talent Project (2018), honored for wind turbine blade defect research (2020). Expertise: Composite material failure, multiscale modeling, industrial validation, and wind energy structural integrity.

• Multiscale Phenomena
• Reacting Flows
• Turbulence
• +4 more

Dr. Alexander Klimenko is a Reader (equivalent to Associate Professor) and Centre Director of the Centre for Multiscale Energy Systems at the School of Mechanical and Mining Engineering, The University of Queensland. He holds a PhD from Moscow University (1991) and a Doctor of Engineering (DEng) from UQ (2007). His research focuses on multiscale energy phenomena, reacting flows, turbulence modeling, and technology evolution. Dr. Klimenko's research interests encompass: Advanced computational methods for turbulent combustion Energy system optimization (particularly supercritical CO 2 cycles) Plasma dynamics and arc stabilization Nanoscale fluid transport Technology evolution modeling Thermodynamic foundations of complex systems His recent publications demonstrate strong focus on energy technology innovation, with recurring themes in: Plasma torch dynamics and stabilization techniques Supercritical CO 2 applications for power generation Turbulent combustion model development Nanoscale transport phenomena Thermodynamic analysis of time asymmetry This reflects his commitment to solving fundamental challenges in energy conversion and fluid dynamics. Dr. Klimenko leads the Centre for Multiscale Energy Systems, supervising doctoral candidates in areas including hydrogen production, turbulent combustion modeling, and plasma systems. He has secured significant research funding, including current projects on: General systems modeling of hydrogen networks (ARC Discovery Project) Advanced combustion modeling for scramjets Coupled thermal-flow modeling for H 2 -based shaft furnaces

Michael HowardView profile

Assistant Professor

• Colloidal Science
• Soft Matter Physics
• Computational Modeling
• +2 more

Michael Howard is an Assistant Professor in the Department of Chemical Engineering at Auburn University, specializing in computational modeling of soft materials and colloidal systems with applications in coatings, nanomaterials, and drug delivery. Education: Ph.D. in Chemical Engineering from Princeton University B.S. in Chemical Engineering from Penn State University His research spans colloidal science , soft matter physics , and computational modeling , focusing on dynamics and assembly of colloidal particles in drying suspensions and confined environments. Using molecular dynamics and mesoscale simulations, his group investigates nanoparticle gelation, polymer-colloid interactions, and supraparticle formation. This work bridges fundamental physics with engineering applications in sustainable manufacturing and advanced materials design. Recent publications demonstrate a strong computational focus on hydrodynamic interactions, phase behavior of nanoparticle systems, and particle shape effects in self-assembly. The research integrates theoretical modeling with practical challenges in material science, emphasizing resource efficiency and novel material properties. Scientific Awards: NSF CAREER Award Dr. Howard secured a $430K NSF grant for colloidal supraparticles research and serves as co-PI on an $887K FTA project optimizing zero-emission bus materials. He actively mentors graduate students within Auburn's chemical engineering program, which emphasizes research excellence and academic success through structured mentorship. His research group utilizes high-performance computing to develop predictive models for soft material design, with current efforts focused on inverse methods for material assembly and machine learning applications in nanoscale systems.

Can ErkeyView profile

Professor

• Aerogel composites
• Catalytic materials
• Supercritical fluid technology
• +5 more

Prof. Can Erkey is a Professor in the Chemical and Biological Engineering Department at Koç University, specializing in advanced materials science and catalysis. His research focuses on aerogel composites, supercritical fluid technology, and environmental applications. He leads a research group exploring novel materials for CO₂ capture, energy conversion, and drug delivery systems. His work integrates chemical engineering, nanotechnology, and sustainable manufacturing principles. Education details are not explicitly provided in the text, but his academic contributions span over two decades. His research interests include aerogel synthesis, catalyst design, and process optimization for industrial applications such as thermal insulation, photocatalytic systems, and renewable energy. He has supervised PhD students in these areas, though specific names are not listed here. Prof. Erkey’s research trends emphasize interdisciplinary innovation, particularly in aerogel-based systems for environmental and biomedical applications. His recent articles highlight advancements in CO₂ removal via nanocomposites, supercritical fluid deposition techniques for catalysts, and optofluidic microreactors. He has pioneered methods for enhancing material properties through controlled synthesis conditions and fluid dynamics. While no scientific awards are explicitly mentioned, his extensive publication record reflects a high-impact contribution to the field. His work is supported by facilities including specialized labs for aerogel processing and catalytic testing. He collaborates on projects involving drug delivery systems, biomass conversion, and emission control technologies, showcasing a commitment to both academic and applied research.

Davood B. PourkargarView profile

Assistant Professor

• Computational Multiscale Modeling
• Applied Artificial Intelligence
• Optimization-Based Control
• +7 more

Davood B. Pourkargar is an Assistant Professor in the Tim Taylor Department of Chemical Engineering at Kansas State University (K-State), holding the Warren and Gisela Kennedy Keystone Research Scholar position. He joined K-State in 2020 after postdoctoral roles at the University of Minnesota and the University of Delaware, and industry experience at ExxonMobil. His research focuses on computational multiscale modeling, physics-informed machine learning, and optimization-based control of sustainable energy and chemical production systems. Key areas include advanced manufacturing, smart materials synthesis, and autonomous biomanufacturing, supported by grants from the NSF and industry. Education: Ph.D. (Chemical Engineering, 2015) from Penn State University; M.S. and B.S. (Chemical Engineering) from Sharif University of Technology (2010 and 2008). Research interests span cyber-physical systems, AI-driven process control, and renewable energy applications. His lab integrates computational tools with experimental validation, including robotic additive manufacturing and autonomous biomanufacturing. Recent work emphasizes resilient control of complex networks, adaptive design of experiments, and green ammonia production. Notable awards include the 2024 Carl R. Ice College Outstanding Assistant Professor Award and the NSF EPSCoR Fellowship. He holds senior membership in AIChE and affiliations with the Food Science Institute and Johnson Cancer Research Center at K-State.

François BertrandView profile

Professor

• Transfer Processes
• Modeling and Simulation
• Multiphase Fluid Flows
• +7 more

Dr. François Bertrand is a Full Professor and Director of Research and Innovation Directorate at Polytechnique Montréal 's Department of Chemical Engineering . With academic credentials from Université Laval and INPL France, he has held multiple leadership roles including Interim General Director (2017-2018) and Chairman of Calcul Québec (2018). Expert in multiphase fluid flows and granular flow modeling Specializes in finite element , discrete element , and lattice Boltzmann methods Active in parallel algorithms and high-performance computing Recent publications focus on rarefied gas flows (2025), granular flow optimization with adaptive contact algorithms (2024), and multiscale modeling of industrial processes. Elected as Fellow by both the Canadian Academy of Engineering (2020) and Chemical Institute of Canada (2019), he has mentored 18 PhD and 21 master's students while contributing to research centers like CREPEC and CIRANO. 2020 - Fellow, Canadian Academy of Engineering 2019 - Fellow & Excellence Award, Chemical Institute of Canada 2010 - Teaching Excellence Award, Polytechnique As director of Polytechnique's Research and Innovation Directorate, he oversees 408+ research projects while maintaining active involvement in computational fluid dynamics research and industrial partnership programs.

• Pharmaceutical Engineering
• Chemical Process Engineering
• Freeze-Drying Technology
• +7 more

Roberto Pisano is a Full Professor of Chemical Engineering at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He serves as Coordinator of the Academic Board for the Ph.D. programme in Chemical Engineering and is a member of both the Interdepartmental Center PolitoBIOMed Lab and the Doctoral School Board. With over a decade of academic leadership, Professor Pisano has established himself as a prominent figure in pharmaceutical engineering and bioprocessing. Professor Pisano earned his B.Sc., M.Sc., and Ph.D. in Chemical Engineering from Politecnico di Torino. His research focuses on the application of computational and experimental methods to chemical product and process engineering, with particular emphasis on pharmaceutical processing and formulation. His expertise spans freeze-drying of pharmaceuticals, continuous manufacturing, advanced drug delivery systems, and molecular simulations. His work has significant implications for biopharmaceutical stability and manufacturing efficiency. Professor Pisano's recent publications demonstrate a strong trend toward innovative pharmaceutical manufacturing technologies, particularly in continuous freeze-drying, spray freeze-drying for inhalable biologics, and computational modeling of pharmaceutical processes. His research bridges fundamental science with industrial application, addressing critical challenges in biopharmaceutical manufacturing, protein stability, and advanced drug delivery systems. Prof. Louis Rey Award by International Society of Lyophilization - Freeze Drying Inc. (2013) National Scientific Qualification as Full Professor - Competition Sector 09-D2 (2018) National Scientific Qualification - Competition sector 09/D2 - II band (2014) Professor Pisano actively supervises numerous PhD students across multiple cycles of the Chemical Engineering program and has secured substantial research funding through competitive national grants (PRIN), regional innovation projects, and commercial contracts with pharmaceutical companies. His research group has developed significant expertise in lyophilization process optimization, scale-up, and continuous manufacturing technologies. Professor Pisano leads research activities within the Molecular Engineering Lab (MolE), Multiscale modelling group, and Process System Engineering team at DISAT. His laboratory facilities include the Biopharmaceutical Technology Laboratory, Pharmaceutical Technology Lab, and the specialized Lyophilization Laboratory (LYOLAB), which support his research in advanced pharmaceutical manufacturing technologies.

Shengfeng ChengView profile

Associate Professor

• Soft Condensed Matter Physics
• Polymer Science
• Nanoparticle Self-Assembly
• +5 more

Shengfeng Cheng is an Associate Professor in the Department of Physics at Virginia Polytechnic Institute and State University (Virginia Tech), serving as Director of the Center for Soft Matter and Biological Physics. He holds affiliations with the Macromolecules Innovation Institute and the Department of Mechanical Engineering. Holding a Ph.D. from Johns Hopkins University, his research focuses on theoretical and computational soft matter physics, particularly in polymer systems, nanoparticle assembly, and interfacial phenomena. His work employs molecular dynamics simulations and statistical mechanics to study self-assembly, evaporation dynamics, friction, and biophysical systems. Research interests span synthetic and biological polymers, including studies on microtubules and actin filaments, ion-containing polymers, and nanocomposites. Sponsored by agencies such as the National Science Foundation and the American Chemical Society, his projects address challenges in materials design and nanomanufacturing. Cheng actively recruits graduate students for research in polymer physics, soft matter theory, and computational modeling. Teaching responsibilities include courses on Thermal Physics, Polymer Physics, and Statistical Mechanics. His lab collaborates across disciplines to advance understanding of complex material behaviors and their applications in energy, health, and technology sectors.

Melih EritenView profile

Professor

• Multiscale Mechanical Characterization
• Contact Mechanics
• Soft Matter Mechanics
• +4 more

Melih Eriten is a Professor in the Department of Mechanical Engineering at the University of Wisconsin-Madison, with affiliations in the College of Engineering and the Materials Science & Engineering program. He holds a PhD and MA from the University of Illinois at Urbana-Champaign (2012 and 2008) and a BS from Sabanci University (2005). His research focuses on multiscale mechanical characterization, contact mechanics, soft matter mechanics, and nonlinear dynamics, with particular emphasis on interfaces, adhesion, and vibration-based material analysis. Education: PhD in Mechanical Engineering, University of Illinois at Urbana-Champaign (2012) MA in Applied Mathematics, University of Illinois at Urbana-Champaign (2008) BS in Mechanical Engineering, Sabanci University (2005) Research Interests: Adhesion and slip mechanisms in soft materials Vibration-based characterization of multiphasic soft materials Evolution of interfacial slip and wear in presliding friction Biomechanics of cartilage and tissue interfaces Design of damping systems inspired by biological materials Awards: 2023 ASME Burt L. Newkirk Award 2016 NSF CAREER Award 2013 Madison Teaching and Learning Excellence Fellowship 2012 ASME Marshall B. Peterson Award Grants & Advising: Lead researcher on NSF-funded projects including “CAREER: Designing Novel Structural Surfaces” Collaborative MRI acquisitions for advanced material characterization Advises PhD/Master’s students in mechanical and biomedical engineering His work integrates experimental, computational, and theoretical approaches to advance understanding of material behavior across scales, with applications in biomedical devices, soft robotics, and vibration control systems.

Ivo RoghairView profile

Assistant Professor

• Chemical Process Intensification
• Fluidized Bed Reactors
• Computational Fluid Dynamics
• +3 more

Ivo Roghair is an Assistant Professor in Chemical Process Intensification at Eindhoven University of Technology (TU/e), with additional affiliations in EAISI Health and EIRES Research. His research develops computational tools for intensified reactor concepts including membrane reactors, chemical looping processes, and fluidized bed systems. He holds an MSc from the University of Twente and a PhD from TU/e focused on numerical simulations of dense bubbly flows. Research interests include: Multiscale modeling of reactor systems (1D to 3D CFD) Fluidized bed membrane reactor design Chemical looping combustion kinetics Inter-particle forces in high-temperature fluidization Polymer drying processes and agglomeration prevention Recent publications show strong emphasis on 3D-printed catalyst structures, heat transfer optimization, and multiphase flow modeling. His work integrates computational methods with experimental validation to advance reactor design and process efficiency. Dr. Roghair leads projects including C-Recycle (chemical recycling technologies) and Cryogene CO₂ capture systems. He received the Best Bachelor Lecturer award in 2017 and contributes to courses on numerical methods and process technology.