جست‌وجوی استاد و پژوهشگر

• Logic
• Well Quasi-Orders
• Verification
• +۷ مورد دیگر

Sylvain Schmitz is a Professor of Computer Science at Université Paris Cité, affiliated with the Institut de Recherche en Informatique Fondamentale (IRIF). He leads the automata and applications team and is a member of the modelling and verification team. His research focuses on logic, well quasi-orders, verification, formal languages, and database theory. He is actively involved in the academic community, serving on steering and program committees for major conferences such as STACS, LICS, and CSL. PhD in Computer Science, defended on September 24, 2007, at I3S Laboratory, Sophia Antipolis. Habilitation titled Algorithmic Complexity of Well-Quasi-Orders , defended on November 27, 2017, at ENS Paris-Saclay. His research interests span logic, well quasi-orders, verification, formal languages, database theory, theoretical computer science, complexity theory, program verification, automata theory, and model checking. His recent work explores complexity bounds in vector addition systems, reachability problems, and logical foundations of verification. His publications exhibit a strong focus on theoretical foundations of computation, particularly in the analysis of infinite-state systems, complexity hierarchies beyond elementary, and logical characterizations of computational problems. Key themes include well-structured transition systems, non-elementary complexity, and applications of ordinal analysis to verification. IUF junior (2018–2023) Sylvain Schmitz has supervised several PhD students, including Hector Buffière, Aliaume Lopez, Anthony Lick, and Simon Halfon, often in joint supervision with researchers such as Jean Goubault-Larrecq, David Baelde, and Philippe Schnoebelen. His research has been funded by multiple ANR projects including BraVAS, PRODAQ, ReacHard, and AVeriSS. He is a key member of the IRIF laboratory, contributing to research in automata, verification, and logic. He has organized major events such as ICALP 2022 and RP 2020, and is deeply involved in the European theoretical computer science community through committee memberships and conference organization.

Timo Plathمشاهده پروفایل

پژوهشگر

• Multiscale Modeling
• Suspensions Rheology
• Granular Matter
• +۵ مورد دیگر

Timo Plath is a Researcher at the Multiscale Mechanics (MSM) group within the Faculty of Thermal and Fluid Engineering at the University of Twente, Netherlands. He is affiliated with the Department of Engineering Technology and the MESA+ Institute for Nanotechnology. As a PhD candidate, his work bridges engineering technology and computational modeling for industrial applications. Plath specializes in multidisciplinary engineering with research interests spanning contact mechanics, granular matter, non-Newtonian flow rheology, concrete simulation, and industrial process modeling. His expertise particularly focuses on developing multiscale models where both micro and macro-scale effects are critical, with significant contributions to wet granulation processes and particle dynamics simulation. His publication trend shows consistent advancement in particle-based modeling techniques, particularly through the open-source MercuryDPM software platform. Recent work emphasizes quadrature method of moments applications, non-dimensionalization approaches, and virtual prototyping for industrial granulation processes, demonstrating a clear trajectory from fundamental particle dynamics to practical industrial implementation. Plath actively collaborates within the University of Twente research ecosystem, working closely with supervisors including Thomas Weinhart, Stefan Luding, and Anthony Thornton. His activities include multiple oral presentations at international conferences between 2022-2024, focusing on model order reduction, quadrature methods, and granulation process characterization. His research infrastructure includes five significant datasets published through 4TU.Centre for Research Data between 2021-2024, supporting reproducibility in twin-screw wet granulation modeling, quadrature method applications, and rapid prototyping of granulation equipment. These datasets demonstrate his commitment to open science and computational reproducibility in particle technology research.

• Applied Mechanics
• Experimental Modal Analysis
• Vehicle Dynamics
• +۷ مورد دیگر

Luca Dimauro serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, affiliated with the College of Mechanical, Aerospace, and Automotive Engineering. His academic responsibilities include teaching Vehicle Dynamics Simulation for Automotive Engineering programs (AY 2024/25 and 2025/26), Mechanical System Dynamics for Mechanical Engineering (2023/24), and multiple iterations of Vehicle Mechanics and Applied Mechanics for Machines courses across both undergraduate and graduate programs. Dr. Dimauro's research focuses on applied mechanics with specialization in experimental modal analysis, experimental-numerical correlation, finite element methods, high-speed vehicles, magnetic transmissions, structural dynamic design of machines, vehicle dynamics, and vibrations. His work bridges theoretical mechanics with practical automotive applications, particularly in electric powertrains, tracked vehicle dynamics, and vibration control systems. The research integrates computational methods with experimental validation across diverse applications from automotive engineering to biomedical devices. His publication record shows a strong interdisciplinary trend combining mechanical engineering, electrical systems, and computational methods to solve complex dynamic problems. Recent work spans automotive innovation (electric powertrains, vehicle dynamics), biomedical applications (prosthetic legs), energy harvesting systems, and musical instrument analysis, demonstrating remarkable breadth while maintaining technical depth in structural dynamics. Dr. Dimauro actively contributes to the Vehicle Dynamics research group within DIMEAS, collaborating on projects involving magnetic transmission systems, vibration analysis, and vehicle dynamics optimization. His patents on parametric dynamic dampers with self-powered sensor functionality and contactless magnetic gear shifting demonstrate practical applications of his research with significant industrial relevance.

Wolfgang Wernsdorferمشاهده پروفایل

استاد

• Molecular Quantum Spintronics
• Quantum Computing
• Single-Molecule Magnets
• +۸ مورد دیگر

Professor Wolfgang Wernsdorfer is a leading physicist and Humboldt Professor at the Karlsruher Institut für Technologie (KIT), affiliated with the Physikalisches Institut. He leads a prominent research group focused on advancing quantum technologies through molecular systems. His career includes key roles as a research director at CNRS in Grenoble, France, and he holds a habilitation from Université Joseph Fourier. His work bridges physics and chemistry, aiming to realize quantum computing using molecular spintronics. His research interests center on molecular quantum spintronics , single-molecule magnets , and hybrid quantum devices . He pioneers the development of quantum bits encoded in magnetic molecules, utilizing their quantum properties for information processing. His group fabricates nanoscale devices using UHV deposition and STM/AFM techniques, exploring couplings between molecular spins and quantum dots, nanomechanical systems, superconducting circuits, and NV centers. This interdisciplinary approach leverages supramolecular chemistry to engineer complex molecular architectures for proof-of-principle quantum processors. The recent publications highlight a strong trend in quantum information science and advanced materials . His work spans from fundamental studies of quantum tunneling in dysprosium and holmium complexes to the engineering of superconducting qubits and hybrid quantum systems. Key themes include the electrical control of molecular spins, the development of high-impedance quantum circuits using granular aluminum, and the integration of molecular magnets with solid-state devices for scalable quantum technologies. Scientific Awards: Bronze Medal from CNRS (1998) Wohlfarth Prize Lecture (2002) Agilent Europhysics Prize (2002) International Olivier Kahn Award (2006) ERC Advanced Grant (2008) Prix Special from SFP (2012) Gutenberg Lecture Award (2012) Alexander von Humboldt Professorship (2016) CNRS Silver Medal (2016) Gottfried Wilhelm Leibniz Prize (2019) Professor Wernsdorfer actively advises students and postdoctoral researchers, fostering the next generation of quantum scientists. His group has received substantial research grants, including an ERC Advanced Grant, to support its ambitious work. He leads a large, collaborative research team and maintains extensive partnerships with chemists from KIT, University of Orsay, and University of Modena, as well as physics groups at Mainz and CNRS. This collaborative network is essential for synthesizing novel magnetic molecules and characterizing their quantum properties. His research group is at the forefront of building a unique low-temperature research platform for molecular quantum spintronics. The team works on cutting-edge projects involving the fabrication and measurement of molecular spin devices, quantum sensors, and hybrid quantum circuits. Their work on granular aluminum resonators and fluxonium qubits represents significant advancements in quantum hardware, aiming to overcome decoherence and scalability challenges in quantum computing.

• Naval Architecture
• Marine Hydrodynamics
• Computational Fluid Dynamics
• +۴ مورد دیگر

Stefano Gaggero is an Associate Professor at the University of Genoa's Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN). His teaching portfolio includes advanced courses such as Numerical Naval Architecture, Geometry of Floating Bodies, Numerical Marine Hydrodynamics, and Ship Stability for both undergraduate (Maritime Science and Technology) and graduate programs (Naval Engineering, Yacht Design). His research focuses on computational marine hydrodynamics with emphasis on: Advanced propeller and thruster design (including rim-driven systems and pumpjets) CFD-based optimization for noise reduction and efficiency enhancement Cavitation modeling and hydrodynamic performance prediction Machine learning applications in naval architecture Scale effects in experimental hydrodynamics Underwater radiated noise control Publications from 2023-2025 demonstrate a consistent focus on simulation-driven optimization of marine propulsion systems. Over 65% of recent works leverage CFD/RANS methods to innovate propeller designs, while 40% incorporate machine learning or reduced-order modeling. Key trends include robust optimization under uncertainty, hybrid physics-AI methodologies, and full-scale validation of marine propulsors.

Romain Pacanowskiمشاهده پروفایل

پژوهشگر

• Material Appearance Representation
• BRDF Modeling
• Computer Graphics
• +۳ مورد دیگر

Romain Pacanowski is a Research Scientist at INRIA Bordeaux South-West, a French national research institute for computer science and applied mathematics. His work bridges computer graphics, optics, and physics with a focus on material appearance representation and rendering techniques. His primary research interests center on Material Appearance Representation, with specific focus on BRDF modeling and acquisition. He works closely with opticians and physicists to improve the quality and speed of (SV)-BRDF and roughness acquisition. His research also involves developing new mathematical representations and parametrizations of the BRDF space. Additional interests include Global Illumination for both offline and real-time rendering systems, sketched-based UI for highlight design, and emerging technologies like OptiX for hybrid rendering systems. His publication record shows a consistent focus on BRDF modeling, material appearance, and rendering techniques. His recent work (2016-2018) particularly emphasizes diffraction effects in material measurements, novel BRDF representations, and efficient sampling techniques for rendering. He frequently collaborates with researchers from academic institutions while working at the INRIA research institute. Pacanowski maintains an active research program with numerous publications in top computer graphics venues including SIGGRAPH, Eurographics, and Computer Graphics Forum. His work combines theoretical modeling with practical implementation, often providing open-source tools like the ALTA BRDF Analysis Library.

• Gearing and mechanical power transmissions
• Noise & vibration phenomena in machines
• Vehicle dynamics
• +۴ مورد دیگر

Domenico MUNDO is a Full Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. His research focuses on mechanical transmissions, vehicle dynamics, vibration analysis, and mechatronic systems. As Head of the Dynamics of Mechanical Systems Lab and Department Deputy for Research, he leads multiple EU-funded projects. PhD in Computational Mechanics (2004) 5-year Degree in Mechanical Engineering cum Laude (1999) Research interests span: Design of advanced mechanical transmissions Noise & vibration characterization in composite materials Kinematic synthesis for automotive and rehabilitation applications Multibody simulation techniques for vehicle dynamics Recent publications emphasize biomechanical rehabilitation devices and composite material modeling. He has coordinated major EU projects like DEMETRA (€1.235M) and INTERACTIVE (€1.344M), focusing on transmission optimization and vehicle concept modeling. Active in editorial roles (Mechanism and Machine Theory) and international conferences, he supervises 9 PhD students and 13 research fellows.

Zoran Tomljanovićمشاهده پروفایل

دانشیار

• Numerical Linear Algebra
• Damping Optimization in Mechanical Systems
• Control Theory
• +۱ مورد دیگر

Zoran Tomljanović is an Associate Professor and Vice-Dean for Teaching and Students at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. His research focuses on numerical linear algebra, damping optimization in mechanical systems, control theory, and matrix equations, with significant contributions to model reduction and parametric system optimization. His work includes novel approaches to $H_{\infty}$ norm analysis for multi-agent systems, dimension reduction techniques for damped vibrational systems, and parametric dominant pole algorithms for semi-active damping optimization. These methods have been applied to problems in mechanical engineering, synchronization, and high-dimensional data partitioning. Key projects led by Tomljanović include Accelerated solution of optimal damping problems (DAAD 2021–2022), Vibration Reduction in Mechanical Systems (Croatian Science Foundation 2020–2023), and Robustness optimization of damped mechanical systems (DAAD 2017–2018). He has also contributed to educational initiatives through publications like Metode optimizacije (2014), a textbook on optimization methods. Professional activities include co-organizing the 8th Croatian Mathematical Congress (2024), Winter School on Model Reduction (2024), and multiple international workshops on optimal control and model reduction. Teaching responsibilities include courses on linear algebra and control theory applications.

Erwan Libergeمشاهده پروفایل

دانشیار

• Fluid-Structure Interaction
• Model Reduction
• Proper Orthogonal Decomposition (POD)
• +۲ مورد دیگر

Erwan Liberge is a teacher-researcher at the University of La Rochelle, France, specializing in computational methods for fluid-structure interaction (FSI) problems. He is affiliated with the M2N team (E1-M2N) within the CNU 60 research section and works under the CNRS INSIS department. His academic rank aligns with Associate Professor in the French system. His research focuses on numerical modeling in fluid mechanics and structural mechanics , utilizing the Lattice Boltzmann Method (LBM) and Proper Orthogonal Decomposition (POD) for model reduction. Key applications include turbulence modeling, flow-induced vibrations in cylinder arrays, and infiltration heat recovery in buildings. He has developed GPU-accelerated solvers for 3D flows in porous materials and explored penalty/duality methods in FSI. The 15 most recent publications (2014–2023) reflect a consistent emphasis on POD-based reduced order modeling (for incompressible flows, rotating solids, and parametric variations) and LBM with volume penalization for obstacle flow simulation. These works intersect computational fluid dynamics , solid mechanics , and numerical mathematics , often addressing coupled systems and nonlinear stability. Erwan collaborates with researchers like Aziz Hamdouni, Claudine Béghein, and Antoine Falaize. He has presented at international conferences (ICMMES, ECCOMAS, ASME) and contributed to journals such as Journal of Fluids and Structures and Physical Review E . His team (E1-M2N) focuses on mathematical modeling and simulation for industrial applications.

• Building Physics
• Heat and Mass Transfer
• Numerical Modeling
• +۵ مورد دیگر

Julien Berger serves as a CNRS Research Fellow at the University of La Rochelle, France, where he conducts interdisciplinary research at the intersection of building physics, heat transfer, and sustainable construction. His work bridges theoretical modeling with practical building applications through his affiliation with the Department of Civil Engineering and Building Physics within the Faculty of Science and Technology. Berger maintains strong collaborative ties with the LOCIE Laboratory (Laboratory of Heat and Energy Sciences) at Université Savoie Mont Blanc and international partners, particularly in Brazil. His research focuses on modeling heat and mass transfer phenomena in porous building materials, developing fast and accurate numerical models, improving model reliability through experimental validation, and solving parameter estimation problems for determining thermophysical properties. Berger's work emphasizes practical applications for building energy efficiency, climate change adaptation, and sustainable construction materials. His research methodology combines advanced computational techniques including Proper Generalized Decomposition, spectral reduced-order methods, and Bayesian parameter estimation with rigorous experimental validation. Berger's publication record shows significant research productivity with over 100 peer-reviewed publications spanning building physics, heat transfer, and numerical methods. His recent work (2023-2025) demonstrates increasing focus on climate change adaptation in building design, advanced numerical techniques for energy efficiency optimization, and the development of sustainable bio-based construction materials. The research shows strong interdisciplinary connections between civil engineering, materials science, and computational physics. Berger actively supervises multiple PhD students including Suelen Gasparin, Ainagul Jumabekova, and Sultan Alpar, who frequently serve as first authors on collaborative publications. His research program appears well-funded through CNRS support and likely national and international grants focused on building energy efficiency and sustainable construction. The research has practical implications for building design, retrofitting strategies, and material development in the construction industry. His laboratory work centers on the Building Physics and Energy Modeling Laboratory at University of La Rochelle, where he combines computational modeling with experimental validation of building materials and systems. The research environment supports both fundamental investigations of heat and mass transfer phenomena and applied studies addressing real-world building performance challenges.

• Reduced Order Methods
• Applied Mathematics
• Optimal Control Theory
• +۳ مورد دیگر

Maria Strazzullo is a Fixed-term Assistant Professor at the Department of Mathematical Sciences (DISMA) within Politecnico di Torino, Italy. Her research focuses on reduced order methods, optimal control theory, and numerical analysis for parametrized partial differential equations. Numerical Analysis and Scientific Computing Model Order Reduction Neural Networks for Parametrized PDEs Uncertainty Quantification Her recent publications address convection-dominated flows, bifurcating nonlinear PDEs, and optimal control problems with random inputs. She collaborates on interdisciplinary projects integrating machine learning with computational physics.

• Systems and Control Theory
• Differential-Algebraic Equations
• Data-Driven Modelling
• +۳ مورد دیگر

Jan Heiland is an Assistant Professor at Otto von Guericke University Magdeburg and a Researcher at the Max Planck Institute for Dynamics of Complex Technical Systems. His work focuses on computational methods in systems and control theory, particularly for differential-algebraic equations (DAEs) and data-driven modeling of fluid dynamics. Research Interests: Systems and Control Theory, Differential-Algebraic Equations, Data-Driven Modelling, Flow Control, Fluid Dynamics, Reduced-Order Modeling Publication Trends: Recent work emphasizes low-dimensional approximations of nonlinear systems using machine learning techniques (e.g., polytopic autoencoders, convolutional autoencoders) and robust control methods for Navier-Stokes equations. Key themes include model reduction, uncertainty quantification, and computational approaches to large-scale dynamical systems. Teaching: He teaches numerical methods for partial differential equations and scientific computing at TU Ilmenau and OVGU Magdeburg.

• Advanced Materials Science
• Information and Communication Technology
• Computational Biomechanics
• +۷ مورد دیگر

Gian Marco Melito is an Assistant Professor at the Institute of Mechanics within the Faculty of Mechanical Engineering at Graz University of Technology (TU Graz). His research spans Advanced Materials Science and Information, Communication & Computing fields, with a strong focus on biomedical applications, particularly cardiovascular modeling and medical imaging. With over 21 publications and active participation in numerous research projects and conferences, Dr. Melito has established himself as a significant contributor to computational biomechanics and medical engineering. Research Interests Dr. Melito's primary research focuses on computational modeling of cardiovascular systems, with particular expertise in aortic dissection, blood flow dynamics, and electrical conductivity of blood. His work integrates sensitivity analysis, numerical modeling, and medical imaging to develop innovative approaches for understanding and diagnosing cardiovascular conditions. His research portfolio demonstrates a consistent trajectory from fundamental hemodynamics toward clinically applicable tools. His technical expertise spans computational mechanics, biomedical engineering, and data science, with recent work emphasizing 3D medical shape analysis, aortic modeling, and impedance-based diagnostic techniques for aortic pathologies. The fingerprint analysis of his work reveals strong connections to Simulation Modeling (100%), Electrical Conductivity (85%), Model Parameter analysis (85%), and Electrical Impedance engineering (64%). Publication Trends Dr. Melito's publication record shows a clear progression from fundamental cardiovascular modeling toward practical medical applications. His most recent work focuses on dataset development for medical imaging (MedShapeNet, SynthAorta), demonstrating his shift toward creating foundational resources for the medical AI community. The consistent theme across his publications is the application of sensitivity analysis to improve cardiovascular modeling accuracy and clinical relevance. Professional Activities Dr. Melito is actively engaged in the academic community with 14 recorded activities including conference organization (such as UNCECOMP 2025 and ECCOMAS 2024), presentations, and editorial work. His upcoming role as organizer for UNCECOMP 2025 in June 2025 demonstrates his ongoing active status in the field.

Ville Pulkkiمشاهده پروفایل

استاد

• Acoustics
• Signal processing
• Audio
• +۱ مورد دیگر

Ville Pulkki serves as a Professor in the Department of Information and Communications Engineering at Aalto University, Finland, maintaining active research output evidenced by publications extending into 2025. His professional contact details include email (ville.pulkki@aalto.fi) and phone (+358505208392), confirming current institutional affiliation. His research expertise spans: Acoustics (particularly underwater and room acoustics) Signal processing for spatial audio systems Audio codec development and compression Spatial sound perception and localization Analysis of his 15 most recent publications reveals dominant research trajectories: underwater bioacoustics applications using spatial audio and 360° video for marine ecosystem monitoring; advanced spatial post-filtering techniques addressing noise reduction and source separation in complex acoustic environments; perceptually-optimized codecs for higher-order ambisonics compression; and fundamental investigations into sound localization challenges including median plane perception and standing wave interference. His work consistently bridges theoretical signal processing with practical applications in virtual reality, marine biology, and auditory perception. No scientific awards, fellowships, or major prizes are documented in the provided materials. While the source text confirms Professor Pulkki's active research status through ongoing publications, it lacks specific details regarding graduate student supervision, research grants, or laboratory leadership. His extensive publication record across diverse spatial audio domains suggests significant collaborative research activity and potential involvement in funded projects, though concrete evidence of advising relationships or grant management is absent from the available information. Similarly, no dedicated research laboratories, departmental teams, or institutional research groups under his direct leadership are mentioned in the source material, despite the technical depth of his work requiring substantial experimental infrastructure.

• Numerical Analysis
• Partial Differential Equations
• Spectral Methods
• +۴ مورد دیگر

Einar Malvin Rønquist is a Professor and has served as Head of the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) since August 2013. He has been a faculty member at the same department since 1999 and is affiliated with the differential equations and numerical analysis (DNA) research group, which he led from 2010-2011. His extensive publication record demonstrates a sustained research career spanning over three decades in computational mathematics. Professor Rønquist's research focuses primarily on numerical methods for partial differential equations, with special emphasis on spectral methods, reduced basis methods, and computational fluid dynamics. His work addresses challenges in high-order approximation, model reduction, and efficient computation for complex physical systems. He has made significant contributions to the development of tensor-product solvers for deformed domains, interface tracking algorithms, and the theoretical foundations of reduced basis methods. His research bridges theoretical mathematics with practical computational applications across engineering and physical sciences, with particular relevance to fluid dynamics, geometric problems, and multi-physics systems. Analysis of Rønquist's publication trajectory reveals a consistent evolution from foundational spectral element methods to advanced model reduction techniques. His work shows increasing sophistication in handling parametric problems and uncertainty quantification while maintaining rigorous mathematical foundations. The publications demonstrate strong contributions to high-order numerical methods, with applications spanning fluid dynamics, geometric problems, and multi-physics systems. Recent work shows particular emphasis on practical computational implementation, including parallel algorithms and efficient solvers for real-world applications that require solving problems on complex or deformed domains. Rønquist has maintained active international collaborations throughout his career, particularly with researchers at MIT (notably Anthony Patera), Université Pierre et Marie Curie (Yvon Maday), and other leading institutions across Europe and North America. His work has appeared consistently in top journals in computational mathematics and scientific computing, including Journal of Computational Physics, SIAM Journal on Scientific Computing, and Computer Methods in Applied Mechanics and Engineering. As department head since 2013, Rønquist has played a significant administrative role in shaping mathematics education and research at NTNU. His leadership extends beyond pure administration, as evidenced by his 2016 commentary in Universitetsavisa regarding the organization of technical cybernetics and electrical power engineering at NTNU, and his 2021 opinion piece in Aftenposten about mathematics examinations. He continues to actively contribute to both the academic and public discourse on mathematics education and research.