Steven LE CORRE is a University Professor at the Department of Thermal Energy Mechanics within the Nantes Thermal and Energy Laboratory (UMR_C 6607) at the University of Nantes . His work focuses on mechanical modeling and simulation, with applications spanning composites, complex fluids, and biomedical engineering. Current PhD Students: Sana Koubaa (Thermoplastic pultrusion), Violette Brulliard (Intervertebral disc modeling) Defended Theses: Arthur Levy (Ultrasonic welding of composites), Céline Dubois (X-FEM in automobile crashes), Jelmer Jongsma (Polymer adhesive structures), Guillaume Rückert (A-TIG welding fluxes), Yosra Guétari (Cutting simulation via X-FEM) Research interests include fibrous media modeling , multiphysical simulation , and applications to composite manufacturing processes , short-fiber-reinforced fluids , and hydrogel/tissue engineering . His work integrates computational mechanics with industrial and biomedical challenges. Professor LE CORRE is based at POLYTECH NANTES campus ( La Chantrerie, rue Christian Pauc ), with office R126 in the Isitem Building. His research is conducted in collaboration with the Nantes Thermal and Energy Laboratory, a CNRS-affiliated research unit.
Travis W. Knight is Professor and Chair of Mechanical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing, where he also serves as Program Director for the Nuclear Engineering Graduate Program. His research focuses on advanced nuclear technologies including fuel development, reactor design, and spent fuel management. Education: Ph.D. Nuclear Engineering Science, University of Florida (2000) M.S. Nuclear Engineering Science, University of Florida (1995) B.S. Nuclear Engineering, University of Florida (1994) Dr. Knight's research interests span nuclear fuel development, reactor design innovations, and nuclear waste solutions. His work integrates computational modeling with experimental validation to advance nuclear energy applications in power generation, space propulsion, and defense systems. His publications demonstrate a consistent focus on nuclear fuel behavior, reactor safety, and waste management, with recent emphasis on experimental methods for fuel characterization and microreactor technologies. Major Awards: Fellow of the American Nuclear Society (2024) Breakthrough Leadership in Research Award (2020) Research Achievement Award (2018) Dr. Knight has supervised numerous doctoral and master's students in nuclear engineering, maintaining active research groups focused on fuel development and reactor safety. His lab facilities include capabilities for nuclear material synthesis, characterization, and computational modeling.
Dr. Raj M. Manglik is a Professor of Mechanical & Materials Engineering and Director of the Thermal-Fluids & Thermal Processing Laboratory at the University of Cincinnati. His research focuses on interfacial phenomena, molecular dynamics, heat transfer enhancement, and thermal systems design. He holds a Ph.D. from Rensselaer Polytechnic Institute, an M.S. from Iowa State University, and a B.Tech. from Indian Institute of Technology Madras. Dr. Manglik has secured over $9.5M in grants, including recent projects on advanced dry-cooling systems, 3D printed ceramic heat exchangers, and thermal energy storage. His work spans experimental and computational studies of heat exchangers, non-Newtonian fluids, and phase-change materials. He has authored numerous peer-reviewed publications and co-edited books such as Principles of Heat Transfer . Awards include the ASME Heat Transfer Memorial Award (2016), ASME James Harry Potter Gold Medal (2018), and multiple university teaching and research accolades. His lab explores topics like boiling heat transfer, drop impact dynamics, and energy-water nexus solutions in power plants.
Kourosh Shoele is an Associate Professor in the Department of Mechanical Engineering at Florida State University (FSU), part of the FAMU-FSU College of Engineering. He previously held roles as an Assistant Research Scientist at Johns Hopkins University and a Post-doctoral Researcher at the University of California, San Diego. His research focuses on fluid-structure interaction, computational mechanics, and bioinspired engineering, with applications in renewable energy, aerospace, and biological systems. Education: Ph.D. (2011) and M.Sc. (2006) in Mechanical Engineering from the University of California, San Diego and Sharif University of Technology, respectively, and B.Sc. (2003) from Shiraz University. Research emphasizes multiphase fluid dynamics, aeroelasticity, energy harvesting, and shock wave dynamics. Notable projects include studies on cryogenic fuel storage, bioinspired robotics, and mask efficacy during respiratory disease transmission. His work has been recognized with awards such as the NSF Career Award (2020) and DARPA Young Faculty Award (2019). Advising and Team: Leads the Computational & Theoretical Multiphysics Laboratory (CTML), mentoring graduate students and postdocs across fluid dynamics, thermal management, and robotics. Collaborates on interdisciplinary projects including mask aerodynamics, flexible tree dynamics, and shock-boundary layer interactions. Labs/Teams: CTML Group, with ongoing collaborations in fluid-structure interaction, renewable energy systems, and biomimetic design. Active in publishing high-impact research in journals like Physics of Fluids and Journal of Fluid Mechanics.
Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.
Affiliations and Roles Professor Wang holds dual appointments as Professor of Physics and Mechanical and Aerospace Engineering at Cornell University. She is affiliated with the Sibley School of Mechanical and Aerospace Engineering and the College of Arts and Sciences. Education B.S. in Physics, Fudan University, Shanghai, China (1989) Ph.D. in Physics, University of Chicago (1996) NSF-NATO Postdoctoral Fellow, Theoretical Physics, Oxford University (1997) Visiting Member, Courant Institute of Mathematical Sciences, NYU (1997-1999) Research Her research focuses on the physics of living organisms, particularly insect flight dynamics , biophysics , and computational modeling . Key projects include: Dragonfly righting reflex mechanisms Neuro-mechanical control in fruit flies Unsteady aerodynamics and fluid-structure interactions Awards and Honors Simons Fellowship in Theoretical Physics (2020) Radcliffe Fellowship (2007) Cornell Provost's Award for Distinguished Scholarship (2005) David and Lucile Packard Fellowship (2002) Labs and Collaborations Her work integrates experimental and computational approaches, often conducted in collaboration with institutions like the Janelia Research Campus (HHMI) and the Joint Texas Experimental Tokamak (J-TEXT).
Kursat Kara is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), leading the Kara Aerodynamics Research Laboratory. He holds a Ph.D. in Aerospace Engineering from Old Dominion University (2008), and has held academic positions including Assistant Professor at Khalifa University (2010–2018), where he received the President’s Faculty Excellence Award for Teaching (2015). His research focuses on fluid dynamics, computational aerodynamics, hypersonic flows, quantum computing, and flow separation control using techniques like CFD and miniPIV. He has advised numerous graduate and undergraduate students, and collaborates on projects such as hypersonic boundary-layer stability, quantum computing for fluid dynamics, and urban wind field modeling for UAS navigation. Dr. Kara’s expertise spans experimental and numerical fluid dynamics, including work on sweeping jet actuators, boundary-layer transition, and aerodynamic design optimization. He is a member of AIAA (Senior), APS, and ASME, and has contributed to facilities like the $3.5M Khalifa University Low-Speed Wind Tunnel. His teaching includes courses on computational fluid dynamics, quantum computing, and unsteady aerodynamics. Recent research highlights include applications of machine learning in wind field prediction and interdisciplinary projects like interface learning for multiphysics systems. Scientific achievements include publications on hypersonic flow stabilization, quantum solvers for Burgers’ equation, and reduced-order models for urban wind simulation. His lab engages students from high school to PhD levels, emphasizing project-based learning and computational tools. Key collaborations involve NASA, the DOD, and industry partners like Sikorsky Aircraft Corp.
Cheng Huang is an Assistant Professor in the Department of Aerospace Engineering at the University of Kansas. His research focuses on computational fluid dynamics, aerospace propulsion, turbulent combustion modeling, and reduced-order modeling techniques. He is affiliated with the Computational AeroPropulsion Laboratory and can be contacted at chenghuang@ku.edu. Education: B.S. from Shanghai Jiaotong University M.S. and Ph.D. from Purdue University Research Interests: LES Modeling of Turbulent Reacting Flows Data-Driven and Reduced-Order Modeling of Complex Fluid Flows Combustion Instability Analysis in Aerospace Propulsion Recent Work Trends: His publications emphasize reduced-order modeling techniques for rocket combustion dynamics, rotating detonation engines, and multiscale fluid systems. Key methodologies include projection-based models, data-driven approaches, and nonlinear approximations of latent dynamics.
Kirk D. Dolan is a Professor at Michigan State University (MSU), holding joint appointments in the Department of Food Science and Human Nutrition (lead) and the Department of Biosystems & Agricultural Engineering within the College of Agriculture & Natural Resources. His research focuses on thermal processing modeling of foods and inverse problems in food science, utilizing advanced computational tools like MATLAB and COMSOL for parameter estimation. He actively contributes to food safety through extension work, including co-teaching the FDA-mandated Better Process Control School and HACCP courses. PhD, Agricultural Engineering, Michigan State University, 1989 MS, Agricultural Engineering, University of California, Davis, 1985 BS, Agricultural Engineering, University of Florida, 1983 Dolan’s research spans thermal processing technologies (canning, drying, aseptic processing), inverse problem solving, and statistical methods for food researchers. His recent publications emphasize antioxidant analysis, kinetic modeling, and computational approaches in food systems. Recent publications highlight advancements in parameter estimation for food processing, including studies on thermal conductivity in cherry pomace, starch viscosity models, and microbial inactivation dynamics. His work bridges computational methods with practical applications in food safety and quality preservation. 2019 CANR Camden Endowed Teacher/Scholar Award Dolan chairs the triennial Inverse Problems Symposia at MSU and co-teaches graduate courses like BE 835 (Modeling Methods in Biosystems Engineering). His extension work supports Michigan food entrepreneurs through FDA product registration assistance and industry training programs.
Mahmoud Karimi is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney (UTS), leading the Vibroacoustics Research Group within the Centre for Audio, Acoustics and Vibration. He holds a PhD in Mechanical Engineering from UNSW with specialization in vibration and acoustics, and has conducted visiting research at University of Cambridge, Technical University of Munich, and INSA Lyon. His research focuses on computational hydroacoustics, vibroacoustics, and uncertainty quantification in noise/vibration problems. Academic Leadership : Editor-in-Chief of Acoustics Australia since 2025 Research Income : Attracted $6M in competitive grants ($2M as Chief Investigator) since 2017 Technical Expertise : Specializes in acoustic black hole structures, flow-induced vibration modeling, and leak detection in buried pipelines Scientific Awards : Recipient of ARC DECRA Fellowship (DE190101412) 2019-2022 Research Trends : His 91+ publications demonstrate expertise in hybrid acoustic modeling techniques, sustainable hempcrete development, and vibration energy harvesting solutions with applications in mining, rail systems, and water infrastructure. International Collaborations: University of Cambridge (UK), Technical University of Munich (Germany), INSA Lyon (France) Teaching Portfolio: Advanced numerical methods, dynamics & control, and computational modeling at UTS
Klaus Mosthaf is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts research on contaminant transport and numerical modeling in porous and fractured media. His work focuses on protecting groundwater resources through advanced modeling of contamination from substances like PFAS, chlorinated solvents, and pesticides. He is actively involved in teaching and academic leadership, coordinating the Nordic Masters program Enviro5Tech and the Sino-Danish Center module on Pollutants and Pollution Control. Research Interests: Transport processes in porous media Groundwater contamination and remediation Numerical modeling of reactive transport Aquifer Thermal Energy Storage (ATES) Fractured and variably saturated geologies Coupled porous-medium and free-flow systems His recent publications reveal a strong focus on PFAS fate, bioremediation in ATES systems, and tracer-based characterization of glacial tills. He employs tools like COMSOL Multiphysics, Python, and FEFlow to develop predictive models grounded in laboratory and field data. Scientific Contributions: Active contributor to over 60 publications in hydrogeology and environmental engineering Key developer of models for coupled processes in subsurface systems Organizer and speaker at international conferences on multiphase flow and contaminant transport Advising and Grants: Klaus Mosthaf supervises multiple PhD students and has coordinated significant research projects, including those on PFAS transport and bioremediation. He is the main supervisor of two active PhD projects and has previously co-supervised two others. His leadership extends to board membership in the Danish Academy of Technical Sciences on Soil and Groundwater (ATV Jord og Grundvand), where he fosters collaboration among academia, consultants, and public authorities. Laboratories and Research Groups: His work is conducted within DTU Sustain, a leading research environment in environmental engineering, where he collaborates with experts in hydrogeology, bioremediation, and sustainable technologies. He is deeply integrated into a network of national and international collaborators focused on groundwater protection and sustainable subsurface utilization.
Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms. His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics. Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine. Notable contributions include: Development of BDDC/FETI-DP preconditioners for cardiac models Integration of machine learning with cardiac electrophysiology High-performance computing for multiphysics systems (Biot’s consolidation, protein stability) Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.
Massimo Zucchetti is a Full Professor at Politecnico di Torino, Department of Energy (DENERG), where he has been teaching Radiation Protection and Nuclear Power Plants. He maintains a significant international presence as a Research Affiliate at the Plasma Science and Fusion Center at MIT, a position he has held since 2005. His academic journey began at Politecnico di Torino, where he graduated in Nuclear Engineering in 1986 and completed his PhD in Energetica between 1986-1990. He progressed through the academic ranks at Politecnico di Torino from Associate Professor (1998-2002) to Full Professor (2002-present), with prior research experience at the European Commission Joint Research Centre. Zucchetti's research spans nuclear fusion engineering, radioactive waste management, and energy policy. His work focuses particularly on controlled thermonuclear fusion, nuclear safety, and radioactive waste management, with emphasis on tritium transport in fusion reactors, safety analysis of fusion power plants, and environmental impact assessment. He has led multiple significant research projects including TITANS (Tritium Impact and Transfer in Advanced Nuclear reactorS, 2022-2025), components for ITER (2008-2010), and innovative materials for fusion reactors (2004-2006). As coordinator of the IEA Program on Environmental, Safety and Economic Aspects of Fusion Power, he plays a key role in international fusion research collaboration. His recent publications show a clear trend toward practical applications of fusion technology, particularly in the ARC (Affordable Robust Compact) reactor design. These works emphasize neutronics, thermal-hydraulics, tritium management, and safety analysis for compact fusion systems. His research demonstrates increasing focus on making fusion energy more commercially viable through innovative engineering solutions while maintaining rigorous safety standards. The interdisciplinary nature of his work connects nuclear engineering with environmental science and energy policy. Fellow of Plasma Science and Fusion Center, MIT (2015-present) Research Affiliate Fellow at Laboratory for Nuclear Science, MIT (2005-2015) Nomination for 2015 Nobel Prize in Physics for research on advanced fuel nuclear fusion Editor-in-Chief of multiple journals including International Journal of Ecosystems and Ecology Science and Journal of International Environmental Application & Science Zucchetti actively mentors PhD students in the Energetica program at Politecnico di Torino, with current advisees working on topics ranging from multiphysics modeling in ARC-class reactors to innovative materials for next-generation nuclear reactors. He coordinates significant research grants from competitive funding programs including EURATOM and PRIN. His laboratory work focuses on fusion reactor components, particularly breeding blankets and tritium management systems. The TESIN research group within DENERG serves as his primary research team, working on thermal-hydraulic analysis, neutronics, and safety assessments for advanced nuclear systems.
Joe Alexandersen is an Associate Professor in the Department of Mechanical Engineering at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering. His research spans structural optimization, heat transfer, fluid dynamics, and high-performance computing, with applications in heat sink design, microfluidic devices, and additive manufacturing. Research Interests Topology and shape optimization Conjugate heat transfer Navier-Stokes flow modeling Finite element methods High-performance computing Scientific Awards 2022 Fluids 2020 Best Paper Award 2017 DTU Young Researcher Award 2015 ISSMO/Springer Prize for Young Scientist Key Projects HiHeaT: Topology optimization for high heat flux components (2024–2027) Structural Analysis of Large Modular Vessels (2025–2027)
Dario De Marinis is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research focuses on fluid dynamics with applications in biomedical engineering, aerospace, and computational physics. Research Interests Fluid-structure interaction modeling Microfluidics and particle transport Biomedical applications (blood flow, valve mechanics) Aerospace engineering (hypersonic flows, turbulence) Numerical methods (Lattice Boltzmann, immersed boundary) Publications Trend Dario's recent work (2015–2025) spans computational fluid dynamics, with emphasis on multiphase flows, viscoelastic material behavior, and biomedical microfluidic devices. He has contributed to aerospace applications and turbulent thermal flows.
