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Fabrice NeyretView profile

Researcher

• Computer Graphics
• Volumetric Textures
• Real-time Rendering
• +4 more

Fabrice Neyret is a senior CNRS researcher in Computer Graphics and head of the MAVERICK team (formerly ARTIS- EVASION ) within the LJK laboratory at Université Grenoble Alpes and INRIA Rhône-Alpes, France. Education PhD in Computer Science, INRIA Rocquencourt, 1996 Diplôme d’Ingénieur, Télécom Paris (ENST), 1991 DESS Ingénierie Mathématique, 1989 Maîtrise d’Ingénierie Mathématique, 1988 Licence de Mathématiques, 1987 Research Interests Neyret’s work centers on Computer Graphics with a strong focus on procedural modeling , real-time rendering of natural phenomena , and GPU acceleration . He investigates volumetric textures, clouds, smoke, rivers, lava, and forests, aiming to bridge physics-based models with efficient, user-friendly methods for video production and interactive applications. Scientific Output & Trends His publications span over two decades and highlight a consistent emphasis on real-time realistic rendering of complex natural scenes. Key themes include volumetric rendering (GigaVoxels), procedural noise, GPU-friendly algorithms, and simulation of dynamic phenomena such as convective clouds, ocean waves, and lava flows. Awards & Recognition Multiple film-festival selections for scientific visualizations (e.g., Eurographics, Festival du Film Scientifique de Palaiseau, Festival international du film scientifique de Parmes) Invited seminars at MIT, University of Toronto, University of Montréal, and others Advising & Teaching Neyret has supervised more than 30 PhD and Master students since 1997, covering topics from fractal noise rendering to large-scale volumetric visualization. He teaches in the Master DEA IVR program and offers internships and postdoc positions regularly. Teams & Labs He leads the MAVERICK research team, hosted jointly by the LJK laboratory (Université Grenoble Alpes) and INRIA . The team’s infrastructure includes access to high-end GPU clusters and collaborative links with Weta Digital and other international partners.

• Electromagnetics
• Signal Integrity
• High-Speed Interconnects
• +5 more

Andreas C Cangellaris is a Professor at the University of Illinois at Urbana-Champaign, affiliated with the College of Engineering and the Department of Electrical and Computer Engineering. He leads research in the Coordinated Science Lab, focusing on electromagnetic modeling, signal integrity, and high-speed interconnects. His work spans nanotechnology, stochastic analysis, and machine learning applications in electromagnetics. Education details are not explicitly provided in the text, but his academic career includes significant contributions to computational electromagnetics, including the development of PEEC methods and neural network-based models for high-speed systems. Research interests emphasize modeling uncertainties in electromagnetic systems, metamaterials, and power delivery networks. He has pioneered techniques like the Stochastic Latency Insertion Method (LIM) and FFT-based macromodeling for stochastic systems. Key awards include the Humboldt Research Award (2004) and IEEE Fellow designation (2000). His grants and advising activities are not detailed here, but his lab focuses on advancing electromagnetic compatibility and high-speed link design. Notable collaborations involve stochastic modeling of fiber-weave effects in PCBs and inverse design methodologies using tandem neural networks.

• Energy-Efficient Computing
• Hardware Acceleration
• Machine Learning
• +3 more

Dr. David Boland is a Senior Lecturer at the School of Electrical and Computer Engineering, University of Sydney. He holds an MEng and PhD from Imperial College London. His research focuses on energy-efficient hardware acceleration, particularly using FPGAs and application-specific integrated circuits (ASICs), to optimize computational efficiency in domains like machine learning and optical communications. He has contributed to projects involving custom hardware accelerators, federated learning for edge computing, and real-time signal processing. Education: MEng, Imperial College London, 2007 PhD, Imperial College London, 2012 Research Interests: Dr. Boland’s work emphasizes reducing computational overhead through customized hardware solutions. He explores techniques for minimizing unnecessary computations while maintaining accuracy, leveraging FPGA-based designs for parallelism and energy efficiency. Key areas include: Hardware acceleration for machine learning FPGA optimization for neural networks Energy-efficient algorithms for edge computing Online arithmetic and latency-accuracy trade-offs Grants & Collaborations: 2022: On-Board Federated Learning in Orbital Edge Computing (NSW Department of Industry) 2017: Fast Automated Anomaly Detection in Communication Networks (Defence Science & Technology Group) Affiliations: Member of the Net Zero Institute, collaborating on sustainable computing solutions.

Subhradeep ChatterjeeView profile

Associate Professor

• Phase Transformations
• Electron Microscopy
• Welding and Solidification Processing
• +6 more

Subhradeep Chatterjee is an Associate Professor at the Department of Materials Science and Metallurgical Engineering at Indian Institute of Technology Hyderabad . He holds a PhD in Materials Engineering from IISc Bangalore and has previously worked at Larsen & Toubro Ltd. R&D and the Zernike Institute for Advanced Materials in the Netherlands. His research focuses on phase transformations, microstructural evolution in metallic alloys, and computational modelling of welding/additive manufacturing processes. Education : PhD (IISc Bangalore), ME (Metallurgy, IISc Bangalore), BE (Metallurgical Engineering, R.E. College Durgapur) His research interests span phase transformations during materials processing, microstructural characterization using electron microscopy and X-ray diffraction , and computational models like phase-field and finite element methods . Recent work includes phase separation in thin films, welding of superalloys, and additive manufacturing of high entropy alloys (HEAs). Collaborations involve colleagues at IIT Hyderabad (Prof. Rajesh, Suryakumar) and Dr. Dheepa Srinivasan from Pratt & Whitney. Key publication trends include studies on spinodal decomposition in Ag-Cu thin films, welding process optimization for superalloys, and microstructure-property correlations in HEAs and metallic nanoparticles. His group integrates experimental and computational approaches to link thermodynamics, kinetics, and material performance. Current and past students include Athira K.S. (PhD on superalloy welding), Vivek Chaitanya Peddiraju (Ag-Cu thin films), Pankaj Bandaru (phase-field models for nanoparticles), and Upender Sunkari (HEAs with niobium alloying). MTech scholars like Lakhvinder Khairwal (Haynes 282 welding) and Indu Kolapalli (AM of XH67 superalloy) have also contributed to his research program.

• Wireless Communications
• Radio Channel Modeling
• Millimeter Wave Propagation
• +6 more

Jun-ichi Takada is a prominent researcher in wireless communications with extensive contributions to radio channel modeling, millimeter wave propagation, and wireless body area networks. His work spans over 15 years with consistent high-impact publications in IEEE journals and conferences. Dr. Takada's research focuses on several key areas in wireless communications: Advanced radio channel modeling for 5G/6G systems Millimeter wave propagation characteristics in various environments Wireless body area network (WBAN) channel characterization Channel sounding and measurement techniques Indoor and outdoor propagation modeling Antenna design and performance evaluation Wireless localization and spectrum sharing techniques Analysis of Dr. Takada's recent publications (2022-2025) reveals a strong focus on next-generation wireless systems, with particular emphasis on site-specific channel modeling for 5G/6G, millimeter wave applications, and innovative measurement techniques. His work increasingly integrates machine learning approaches with traditional signal processing methods for wireless channel analysis and human detection applications. Dr. Takada has collaborated extensively with researchers across Japan and internationally, demonstrating leadership in several major research projects related to wireless communications standardization and development.

Donald E. LyonView profile

Professor

• Automatic Control
• Rotating Machinery
• Signal Processing
• +2 more

Donald E. Lyon is a Professor in the Department of Mechanical Engineering at the University of New Brunswick (UNB), located in Fredericton. His research focuses on automatic control and rotating machinery, with a particular emphasis on spectral analysis techniques such as FFT limitations, MV spectrum applications, and vibration-based diagnostics for machinery health monitoring. He has authored numerous publications since the 1990s, contributing to advancements in signal processing and machinery vibration analysis. No scientific awards or grants are explicitly mentioned in the text. While no advisees are listed, his work has been presented at conferences like Predictive Maintenance Technology and CMVA Seminars. His office is located in Head Hall E26, and he can be reached at lyon@unb.ca.

Martin BergströmView profile

Associate Professor

• Social Work
• Family Interventions
• Psychometric Measurement
• +5 more

Martin Bergström is an Associate Professor and Senior Lecturer at the School of Social Sciences , Lund University. His work bridges academic research and practical application in social work. Academic roles: Course Director for Social Work with Families (15 ECTS) and lecturer across BSc programs Research leadership: PI for 'Vad gör de?' project on contact person interventions Research Focus: Specializes in efficacy evaluations of family interventions using experimental and quasi-experimental designs. Key areas include: Psychometric Measurement development and validation MTFC Method in youth care homes Transition Services for youth leaving care Child Welfare interventions Academic Collaborations: Active in the Children, Family, Welfare research group and contributes to UN Sustainable Development Goals through evidence-based social work. Supervises doctoral research in areas like social-emotional learning and intervention development.

Yang ChenView profile

Lecturer

• Composite Materials
• Computational Mechanics
• Materials Science
• +5 more

Yang Chen is a Lecturer in the Department of Mechanical Engineering at the University of Bath, affiliated with multiple research centres including the Centre for Integrated Materials, Processes & Structures (IMPS) and the Centre for Regenerative Design & Engineering for a Net Positive World (RENEW). He holds a PhD from the Université Paris-Est (collaborating with French Alternative Energies and Atomic Energy Commission) and completed postdoctoral research at the University of Oxford. His research focuses on advanced techniques for data-rich experiments and simulations in heterogeneous materials, particularly fibre-reinforced composites applied in aerospace, automotive, and nuclear energy sectors. Key expertise includes FFT solvers, X-ray computed tomography, nonlinear mechanical modelling, and fluid flow in porous media. He has secured prestigious fellowships, including the EPSRC Future Composites Research Hub Innovation Fellowship and the Humboldt Fellowship. Teaching responsibilities include the ME20016 Solid Mechanics 3 course for mechanical engineering undergraduates. Current PhD supervision opportunities span topics like hydrogen storage composites, nuclear fusion materials, and nuclear waste management. He actively collaborates on projects such as HyFIVE (Hydrogen Storage) and explores advanced ceramic materials for nuclear energy. His work aligns with UN Sustainable Development Goals, emphasizing sustainable innovation and energy solutions. Notable contributions include developing physics-informed neural networks for resin flow prediction and machine learning-based emulators for constitutive modelling. His publications address fracture mechanics, computational homogenization, and material degradation under irradiation. He is open to supervising doctoral students through funded programs like ZENITH and GW4+ DLTP.

• Computational Mechanics
• Finite Element Analysis
• Contact Mechanics
• +1 more

Mohit Pundir is a Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering. He specializes in computational mechanics, focusing on finite element methods, contact mechanics, and fracture simulations. Research Focus: His work emphasizes: Eulerian phase-field approaches for contact problems FFT-based methods in solid mechanics Computational modeling of material behavior High-performance fracture simulation frameworks Recent Publications: Pundir's 2023-2025 articles demonstrate strong themes in numerical methods for materials science, including topology-optimized structures, corrosion prediction in porous media, and physics-consistent ML models for materials.

Shao Jian-FuView profile

Professor

• Mechanics of geomaterials and structures
• Sequestration of CO2
• Thermo-hydromechanical and chemical coupling processes
• +5 more

Shao Jian-Fu is an Exceptional class Professor of Civil Engineering at the University of Lille, France, a position he has held since 2010. He also serves as a Distinguished Professor of Geomechanics at Hohai University, China on a part-time basis. His academic career at the University of Lille has been progressive, having previously held positions as First class Professor (2001-2010), Second class Professor (1994-2001), and Associate Professor (1989-1994) of civil engineering. Professor Shao's educational background includes: 1992: Habilitation to supervise research (HDR) in Civil and Mechanical Engineering, University of Lille, France 1987: PhD in Civil Engineering, University of Lille, France 1984: Master in Solid Mechanics, University of Lille, France 1982: Bachelor in Hydraulic Engineering, China Agricultural University, China Professor Shao's research focuses on the mechanics of geomaterials and structures, with particular expertise in sequestration of CO2, thermo-hydromechanical and chemical coupling processes, and geological disposal of radioactive waste. His work spans multiple scales, from atomistic studies to field applications, and employs both experimental and computational approaches. He has made significant contributions to multi-scale modeling and the development of continuous and discontinuous numerical methods for geomechanical problems. His recent publications demonstrate a strong focus on phase-field modeling of cracking processes, constitutive modeling of heterogeneous and anisotropic materials, and the application of advanced computational techniques to geomechanical problems. His research has important applications in areas such as rainfall-induced landslides, radioactive waste disposal systems, and understanding the mechanical behavior of clayey rocks under various environmental conditions. Professor Shao has received numerous prestigious awards, including: 2023: Senior member of the Institut Universitaire de France (IUF) 2022: Chandrakant S. Desai Medal, IACMAG 2022: Maurice A. Biot Medal, ASCE 2021: Member of the European Academy of Sciences and Arts 2020: Member of the European Academy of Sciences 2019: Prize of Natural Science (2nd rank), Chinese Ministry of Education 2013: Prize of Science and Technology (2nd rank), Jiangsu Province, China 2012: Prize of Science and Technology (1st rank), The Chinese Association of Hydraulic Power 2011: Excellent contributions Award, IACMAG As a principal investigator, Professor Shao has led numerous significant research projects, including EU projects MAGIC and CEBAMA related to radioactive waste disposal, China State Key R&D projects on hydro-landslides, and various ANR and NSFC-funded projects. He has also served as an associate editor for several prestigious journals including the International Journal of Rock Mechanics and Mining Sciences and as a member of editorial boards for journals such as Computers and Geotechnics and International Journal of Plasticity. His extensive service includes reviewing for major funding agencies including the European Research Council, Swiss National Science Foundation, and Czech Science Foundation.

• Fluid Machinery
• Thermal Management Systems
• Computational Fluid Dynamics (CFD)
• +4 more

Emma Frosina is an Associate Professor at the Department of Engineering (DING) of the University of Sannio, Italy. Her research focuses on fluid machinery, thermal management systems, and computational fluid dynamics (CFD) with applications in automotive and railway sectors. Academic Rank: Associate Professor Department: Engineering (DING) Email: frosina@unisannio.it Her work emphasizes fault detection in pumps using machine learning, optimization of liquid cold plates via DOE and CFD, and analysis of cavitation in spool valves. Recent publications highlight collaborations with researchers like Senatore, Romagnuolo, and Borriello. Key themes from her 15 most recent publications include: Advancements in condition monitoring for electric gear pumps Innovations in pressure ripple reduction via CFD Development of vibroacoustic tools for fault detection Optimization of thermal management systems in railway and automotive contexts

Kent PalmkvistView profile

Associate Professor

• Digital Electronics
• Mixed-Signal Electronics
• FPGA Design
• +5 more

Kent Palmkvist is an Associate Professor at Linköping University, affiliated with the Department of Electrical Engineering (ISY) and the Division of Electronics and Computer Engineering (ELDA). His work bridges research and education in digital, analog, and mixed-signal electronics, with a focus on programmable systems and processor design. Research Interests: Digital and mixed-signal circuit design FPGA-based high-performance computing Asynchronous (GALS) system architectures Low-power and energy-efficient design techniques Calibration and testing of high-resolution ADCs Hardware implementation of signal processing algorithms His recent publications highlight expertise in large-scale FFT implementations on FPGAs and innovative design flows for asynchronous systems, indicating a strong focus on hardware efficiency and scalability. Scientific Contributions: Pioneered design methodologies for integrating asynchronous modules using conventional synchronous tools Developed high-throughput FFT architectures capable of processing 1 million points on a single FPGA Advanced calibration techniques for flash ADCs using histogram methods Advising and Grants: While no formal students or grant details are listed in the provided text, his collaborative publications suggest active engagement in research teams and potential supervision of graduate students. His work likely involves industry and research collaborations, given the applied nature of his research and ISY’s emphasis on industrial partnerships. Labs and Teams: Kent Palmkvist is a key member of the Division of Electronics and Computer Engineering (ELDA), where he contributes to research in advanced electronic systems. The division conducts cutting-edge work in both analog and digital domains, supporting a collaborative environment for innovation in electronics and computing.

• Composite Materials
• Additive Manufacturing
• Computational Mechanics
• +5 more

Joris Remmers is an Associate Professor of Composite Materials at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). He leads the Mechanics of Materials research group and contributes to EAISI High Tech Systems, focusing on improving mechanical properties of fiber-reinforced composites and 3D printed materials through multi-scale numerical techniques. Education : MSc in Aerospace Engineering (1998) and PhD (2006) from TU Delft. Research Interests : His work bridges computational mechanics, additive manufacturing, and AI-driven optimization, investigating process-structure-property relationships in engineered materials. Publication Trends : Recent articles highlight applications of multi-task neural networks for real-time simulations, reinforcement learning in 3D printing path optimization, and high-resolution additive manufacturing for microelectronics, reflecting interdisciplinary expertise in AI, material science, and multi-physics modeling. Scientific Awards : Emerging DMD Based Systems and Applications Best Paper Award (2025). Advising & Collaborations : Supervised Marwan Aarab's Bachelor thesis on additive manufacturing simulations. Collaborates with TNO Holst Centre and participates in the NXTGEN Hightech program. Grants include EU-funded LEE-BED GA 814485 for nanomaterials development (2019-2023).

• Composite Materials
• Additive Manufacturing
• Finite Element Analysis
• +3 more

Joris J.C. Remmers is an Associate Professor of Composite Materials at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). He is also affiliated with the EAISI High Tech Systems and leads the Mechanics of Materials research group. His academic journey includes a MSc in Aerospace Engineering (TU Delft, 1998) and a PhD in Computational Mechanics (TU Delft, 2006). Remmers' research focuses on composite materials and additive manufacturing, particularly the relationship between manufacturing processes, microstructure, and mechanical properties. He employs advanced numerical techniques to study multi-physics phenomena across scales. Research Themes: Composite materials and fiber-reinforced systems 3D printing and additive manufacturing processes Numerical methods (e.g., finite element analysis, model order reduction) Micromechanical modeling of material behavior Grants and Projects: Project Manager for Innovation test bed for development and production of nanomaterials for lightweight embedded electronics (2019–2023) Awards: Emerging DMD Based Systems and Applications Best Paper Award (2025) Teaching: Leads courses on advanced manufacturing, computational mechanics, and data-driven approaches in engineering, including Advanced and Additive Manufacturing and AI-assisted innovation in portable plasma technology . Labs/Teams: Active in the Mechanics of Materials group, collaborating on multi-scale mechanics, damage modeling, and material failure analysis.

Lars PastewkaView profile

Professor

• Multiscale simulation of materials
• Micromechanics of materials
• Material interfaces
• +7 more

Prof. Lars Pastewka is a Full Professor of Simulation at the Department of Microsystems Engineering (IMTEK) within the Faculty of Engineering at the Albert Ludwigs University of Freiburg. His research focuses on multiscale simulation of materials, micromechanics, and tribology, with a particular emphasis on friction, adhesion, and wear. He leads a research group developing computational methods to model materials from atomic to continuum scales. His expertise includes surface forces, material interfaces, and the design of programmable materials. Key projects include studies on self-repair mechanisms in biological and artificial materials, tribogenerators, and resilient microfluidic networks. He supervises doctoral researchers such as Indre Jödicke and Mahdi Roshani, with past student Dr. Antoine Sanner completing his doctorate under his guidance. Prof. Pastewka has contributed to open science through tools like dtool and dserver, promoting FAIR data principles. His work spans interdisciplinary collaborations in materials science, biomechanics, and computational engineering. He is actively involved in academic outreach through events like the livMatS Colloquium series and contributes to teaching programs such as the Master Lab and Core Lectures initiatives. His research has been funded by Germany’s Excellence Strategy (EXC-2193/1) and addresses challenges in surface topography analysis, hydrodynamic lubrication, and material fracture mechanics. His group’s computational frameworks, including matscipy and SYMPLER, have advanced large-scale simulations in materials science.