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OGATA ShujiView profile

Professor

Nagoya Institute of Technology (NIT)Japan

Professor Shuji Ogata serves in the Department of Physical Engineering, Applied Physics Field at Nagoya Institute of Technology's Graduate School of Engineering. His research spans nanomaterials, composite interfaces, and computational materials science with focus on molecular dynamics simulations of ferroelectric systems and polymer-metal adhesion. His educational background includes a Doctor of Science from The University of Tokyo (1991), preceded by undergraduate studies in Physics at the same institution. Key research interests include: Nanomaterials and composite interfaces Ferroelectric domain dynamics in materials like BaTiO 3 Moisture effects on polymer-metal adhesion Hybrid quantum-classical simulation methods Multiscale modeling from electronic to continuum levels Recent publications (2023-2024) demonstrate consistent focus on molecular dynamics simulations of ferroelectric materials and interfacial phenomena, particularly examining domain wall behavior in barium titanate and protonation mechanisms in epoxy resins under wet conditions. His work integrates machine learning potentials and first-principles calculations to address multiscale challenges. Award highlights include: Editors' Pick in Applied Physics Letters (2024) Featured Article in Journal of Applied Physics (2023) Best Technical Paper at Supercomputing 2001 Excellent Achievement Research Project from RIST (2015) His research program includes significant grants from JSPS, MEXT, and NEDO, particularly the "Super-fast development of super-materials" project (2016-2021) and current MEXT initiatives using the Fugaku supercomputer. He advises multiple doctoral students including Hikaru Azuma and Ryo Kobayashi who frequently co-author his recent publications. His Opto-Biotechnology Research Center affiliation enables cross-disciplinary collaborations in materials simulation.

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Nour Al HassaniehView profile

Research Fellow

Stony Brook UniversityUnited States

Nour Al Hassanieh is a Flatiron Research Fellow at the Center for Computational Mathematics (CCM), part of the Flatiron Institute. Her research focuses on developing fast, high-order accurate numerical methods for partial differential equations, contributing to advancements in computational mathematics. Education: Ph.D. in Mathematics, Rensselaer Polytechnic Institute (RPI) M.S. in Mathematics, American University of Beirut B.S. in Mathematics, Haigazian University Research Interests: Numerical Analysis Partial Differential Equations Machine Learning Image and Signal Processing High-Order Accurate Methods As a Research Fellow at CCM, Nour works on cutting-edge computational techniques that blend mathematical rigor with algorithmic efficiency. While no specific awards or advising roles are mentioned in the provided text, her expertise contributes to CCM's mission of advancing computational methods in mathematics and related fields.

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Renald SchaubView profile

Associate Professor

University of St AndrewsUnited Kingdom

Dr. Renald Schaub is a Reader in the School of Chemistry at the University of St Andrews, where he also serves as the Director of the Scottish Centre for Interdisciplinary Surface Spectroscopy (SCISS). He leads the Schaub Research Group, which focuses on the application of high-resolution scanning probe microscopy and spectroscopy to study fundamental processes related to the nano-scale design and characterisation of functional materials. His research has significant implications for heterogeneous catalysis, photo-catalysis, molecular electronics, and other technological applications. Dr. Schaub graduated in 1996 from the Department of Physics at the University of Lausanne, Switzerland. He then completed his PhD at the Department of Physics of the Swiss Federal Institute of Technology in Lausanne (EPFL), followed by postdoctoral research at the Interdisciplinary Nanoscience Centre of the University of Aarhus in the group of Professor F. Besenbacher. Dr. Schaub's research focuses on understanding fundamental principles and mechanisms involved in the chemistry and physics of surfaces. His group employs scanning probe microscopies (STM, AFM) to obtain high-resolution, real-space information on surface phenomena, supported by theoretical calculations (DFT). Their work goes beyond traditional high-magnification topography to include local electronic and vibrational spectroscopy of single atoms/molecules, atomic and molecular manipulation, fast-acquisition imaging for studying surface dynamics, and high-pressure measurements for meaningful studies at the gas/solid interface. Key research areas include graphene, molecular electronics, and surface science approaches to heterogeneous catalysis. The group's recent publications demonstrate a strong focus on graphene nanoribbons, molecular switches, and functionalized graphene for various applications. Their work combines experimental STM/AFM techniques with theoretical approaches to understand surface phenomena at the atomic scale, with applications spanning from molecular electronics to catalysis and biosensing. Dr. Schaub has received several prestigious awards including the EaStCHEM Hirst Fellowship from the Scottish Funding Council (£30k), and Researcher Fellowships from the NSF-Switzerland (Junior: 56k CHF; Senior: 132k CHF). As an advisor, Dr. Schaub has supervised numerous PhD students whose research has led to publications in high-impact journals such as Science, Nature Communications, ACS Nano, Nano Letters, and Physical Review Letters. His group has secured funding from various sources including EPSRC, Scottish Funding Council, and Technology Strategy Board for projects related to graphene-based devices, functionalized graphene electrodes, and graphene layer development. The Schaub Research Group is part of EaStCHEM, a joint research school between the Universities of St Andrews and Edinburgh, and is affiliated with the Scottish Centre for Interdisciplinary Surface Spectroscopy (SCISS). They operate a low-temperature STM combined with q-plus AFM sensor (CreaTec/SPECS instrument), capable of operating at 5K with exceptional stability for atomic-scale investigations.

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Frank JenkoView profile

Professor

Technical University of MunichGermany

Frank Jenko is an Honorary Professor for Computational Physics at the Technical University of Munich and a Scientific Member and Head of the Tokamak Theory Division at the Max Planck Institute for Plasma Physics (IPP) since January 2017. His research focuses on plasma physics and fusion energy, with particular expertise in tokamak theory, turbulence simulation, and computational physics. Dr. Jenko was born in 1968 in Landshut and studied physics at the Technical University of Munich. After completing his doctorate, he joined IPP as a research associate in 1998. Following research stays in the USA, he completed his habilitation at the University of Ulm in 2005 and led an IPP junior research group focused on simulating plasma turbulence on supercomputers. From 2014 to 2017, he served as a professor of physics and astronomy and director of the Plasma Science and Technology Institute at the University of California, Los Angeles. His research interests span plasma physics, fusion energy, and computational methods for simulating complex plasma phenomena. Jenko's work particularly emphasizes gyrokinetic modeling of plasma turbulence in magnetic confinement devices, with applications to both tokamaks and stellarators. His research group develops and utilizes advanced computational tools like the GENE code for high-fidelity plasma simulations. Analysis of his recent publications reveals a strong focus on advancing computational methods for plasma turbulence simulation, with applications to both tokamak and stellarator configurations. His work spans fundamental plasma physics, computational algorithm development, and practical applications to fusion energy research, particularly in validating simulation codes against experimental data and applying these validated models to predict and optimize fusion plasma performance. Starting Grant from the European Research Council (2011) Hans Werner Osthoff Prize from the University of Greifswald (2004) Otto Hahn Medal from the Max Planck Society (1999) As head of the Tokamak Theory Department at IPP, Dr. Jenko leads a research group focused on computational plasma physics and turbulence simulation. His team has secured significant funding through European Research Council grants and maintains strong international collaborations with major fusion facilities worldwide, including JET, ASDEX Upgrade, and Wendelstein 7-X. The group plays a key role in the development of the GENE code, a leading gyrokinetic turbulence simulation tool used by researchers globally. The Tokamak Theory Department under Dr. Jenko's leadership operates advanced computational facilities for plasma turbulence simulation and maintains close ties with experimental teams at major fusion facilities. The department is instrumental in bridging theoretical plasma physics with experimental results, contributing to the advancement of magnetic confinement fusion research worldwide.

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Shoichi YamadaView profile

Professor

Waseda UniversityJapan

Shoichi Yamada is a Professor at the Faculty of Advanced Science & Engineering in Waseda University . With a PhD from the University of Tokyo, his research spans astrophysics, high-energy physics, and computational methods for core-collapse supernovae and compact object formation. Key research areas: Core-collapse supernova mechanisms Neutrino flavor conversions Rotating star equilibria Boltzmann neutrino transport Gravitational wave sources Multi-dimensional hydrodynamics His 245+ peer-reviewed publications (h-index 51) focus on neutrino transport algorithms, supernova explosion dynamics, and flavor instability analysis. Recent work (2025) involves subgrid modeling for neutrino flavor conversions and machine learning applications to radiation hydrodynamics. Major research contributions include: Development of the W4 method for nonlinear equation solving Systematic studies of collisional neutrino instabilities First-principles simulations with full Boltzmann neutrino transport Investigations into muon-induced flavor instabilities Quantum mechanical radiation modeling Multi-dimensional stellar structure formulations

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Ehigie Julius OsatoView profile

Associate Professor

University of LagosNigeria

Associate Professor Julius Osato Ehigie is a faculty member in the Department of Mathematics, Faculty of Science, University of Lagos, Nigeria. He specializes in computational and applied mathematics, with core expertise in developing high-order numerical methods for oscillatory and fractional differential equations. Education: B.Sc. Mathematics, Lagos State University, 2006 M.Sc. Applied Mathematics, University of Lagos, 2009 Ph.D. Mathematics, University of Lagos, 2014 Research Interests: Ehigie’s research revolves around computational mathematics and scientific computing , focusing on fast, high-order accurate schemes such as Runge-Kutta and exponentially fitted integrators for periodic and oscillatory initial value problems. He applies these techniques to diverse areas including genetic regulatory systems, celestial mechanics, nonlinear atomic vibrations, air-pollution tracking models, and biological wave dynamics. His recent publications exhibit a clear trend toward exponential integrators and structure-preserving methods for highly oscillatory systems, with practical applications in engineering (pipe vibrations), biology (genetic circuits), and nanotechnology (nanolattice oscillations), underscoring an interdisciplinary blend of rigorous numerical analysis and real-world modelling. Scientific Awards & Fellowships: APSA Fellowship Award 2025 IMU-Simons African Fellowship Scholar 2022 EMS-Simons for Africa Scholar 2019 NAU-Postdoctor Fellowship Scholar 2015 Roles & Collaboration: He currently serves as Departmental Postgraduate Coordinator and founded the Numerical Analysis Research Clusters at the University of Lagos. His collaborative network spans the Departments of Mathematics at Southern Methodist University, University of Oxford, Nanjing Agricultural University, and Texas Tech University, as well as the Department of Civil & Environmental Engineering at the University of Lagos.

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JennyView profile

Professor

ETH ZurichSwitzerland

Professor Jenny leads the Jenny Research Group at ETH Zürich, specializing in turbulent reactive flows, rarefied gas kinetics, and biomedical fluid dynamics. Her work bridges fundamental research with industrial applications in energy systems and fluid mechanics. Develops advanced turbulence models (TDDM, hybrid LES/RANS) for multi-scale flows Pioneers data assimilation frameworks for RANS simulations using adjoint methods Advances particle-based stochastic algorithms for fractured porous media transport Her recent publications emphasize adaptive time integration techniques, probabilistic modeling of non-linear transport phenomena, and optimized simulation tools for hydrogen storage systems. The group's methodological innovations focus on reducing computational costs while maintaining physical accuracy through novel regularization strategies. Key applications include combustion device optimization, high-pressure tank filling analysis, and fractured reservoir simulations. Current projects integrate machine learning with traditional CFD methods to address challenges in droplet clustering, flame surface density propagation, and supersonic spray dynamics. The research framework spans from direct numerical simulations of fundamental flow physics to industrial-scale hybrid modeling implementations.

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Dimitris A. PadosView profile

Professor

Florida Atlantic University - Boca RatonUnited States

Dimitris A. Pados is a Professor and I-SENSE Fellow at Florida Atlantic University, holding the prestigious Charles E. Schmidt Eminent Scholar in Engineering position. He serves as Director of both the Center for Connected Autonomy and Artificial Intelligence and the ExtremeComms Laboratory within the Department of Electrical Engineering and Computer Science in the College of Engineering. Prior to joining FAU in 2017, he spent 20 years at the University at Buffalo, where he held positions ranging from Assistant Professor to Clifford C. Furnas Chair Professor. Professor Pados' research spans two primary domains: Communications Theory and Systems, and Machine Learning and Adaptive Signal Processing. His work in communications includes Cognitive Software-defined Radios and Networks, Interference Avoiding Networking, Secure Wireless Communications, Underwater Cognitive Hi-rate/Long-distance Acoustic Communications, and Autonomous/Unmanned System Communications. In signal processing, he specializes in L1-norm Principal-component Analysis (L1-PCA), Robust Feature Extraction from Faulty Data Sets, Digital Data Embedding/Hiding, and Compressed-sensed Imaging and Video. His research has resulted in numerous high-impact publications and several best paper awards. His recent publications demonstrate a strong focus on robust signal processing techniques, particularly L1-PCA methods, and applications in wireless communications, video processing, and secure transmissions. The research shows consistent contributions to both theoretical foundations and practical implementations, with increasing emphasis on cognitive radio networks, underwater communications, and autonomous systems. 2013 ISWCS Best Paper Award in Physical Layer Communications and Signal Processing 2003 IEEE Transactions on Neural Networks Outstanding Paper Award IEEE ICT 2001 Best Paper Award 2010 IEEE ICC Best Paper Award in Signal Processing for Communications I-SENSE Fellow Charles E. Schmidt Eminent Scholar in Engineering Professor Pados has secured significant research funding through sponsored projects, particularly in wireless communications, signal processing, and autonomous systems. His work on software-defined radio platforms, underwater acoustic networks, and cognitive networking demonstrates strong industry and government interest. He has successfully translated theoretical research into practical implementations, as evidenced by his team's win in the Internet of H2O competition. As Director of the ExtremeComms Laboratory, Professor Pados leads a research group focused on communication systems for challenging environments. The laboratory provides opportunities for graduate students to work on cutting-edge projects in cognitive radio, underwater communications, and autonomous systems. His leadership of the Center for Connected Autonomy and Artificial Intelligence further expands research opportunities across multiple disciplines at Florida Atlantic University.

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Arjun GuhaView profile

Associate Professor

National and Kapodistrian University of AthensGreece

Arjun Guha is an Associate Professor at Northeastern University's Khoury College of Computer Sciences, where he also serves as the Area Chair for Software. He conducts research in programming languages with a focus on program synthesis for low-resource programming languages and understanding how computer science education is impacted by large language models. His work spans multiple domains including WebAssembly, software-defined networking, and serverless computing. Guha's research interests center around programming language design, implementation, and application. He has made significant contributions to understanding JavaScript through formal semantics (LambdaJS), developing functional reactive programming for web applications (Flapjax), and creating tools for software-defined networks (NetKAT, Frenetic). His recent work focuses on leveraging large language models for code generation in specialized programming languages and understanding their impact on programming education. His publications reveal a strong trend toward applying AI and machine learning techniques to programming language problems, particularly in code generation and understanding. The research spans from foundational programming language theory to practical applications in education and software development tools, with increasing focus on the intersection of programming languages and large language models. Guha has received several prestigious awards including the OOPSLA Most Influential Paper Award in 2019 for his work on Flapjax, an ACM SIGPLAN Research Highlight for his work on NetKAT, and a Best Student Paper Award. His research has been recognized for its foundational contributions to programming language theory and practical impact on software development. OOPSLA Most Influential Paper Award (2019) for Flapjax ACM SIGPLAN Research Highlight for A Fast Compiler for NetKAT Best Student Paper Award for Flapjax paper Guha advises numerous PhD, MS, and undergraduate students, with several alumni now at leading tech companies and academic institutions. His research has been supported by the National Science Foundation, the Department of Energy, the Office of Naval Research, and industry partners including Google, JPMorgan Chase, MathWorks, Meta, Oracle, and Roblox. He leads the Programming Research Laboratory at Northeastern and is actively involved in major research collaborations like the BigCode Project. Guha is a member of the Programming Research Laboratory at Northeastern and leads several major research initiatives including the BigCode Project's evaluation working group. His lab develops practical software systems like MultiPL-E (a polyglot benchmark for Code LLMs) and WasmFX (bringing effect handlers to WebAssembly), with applications in education, software development, and high-performance computing.

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Clément Pit-ClaudelView profile

Assistant Professor

National and Kapodistrian University of AthensGreece

Clément Pit-Claudel is an assistant professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, Department of Computer Science. He leads the SYSTEMF lab which he founded in January 2023. Prior to joining EPFL, he was a PhD candidate at MIT with Adam Chlipala and subsequently worked as a senior applied scientist at Amazon AWS. His academic journey began at École Polytechnique in France, followed by doctoral studies at MIT. Dr. Pit-Claudel's research focuses on programming languages, compilers, and formal verification, with broader interests spanning systems engineering, hardware design languages, security, performance engineering, databases, and type theory. His work centers around three main axes: extensible compilation (teaching compilers domain-specific optimization tricks), hardware design languages and verification, and tooling for proof assistants. He has developed several influential systems including Elk (a linear-time engine for JavaScript regexes), Warblre (a Coq translation of JS regex specification), Fiat (a library for correct-by-construction refinement), Narcissus (for verified binary encoders/decoders), F2F (a program extraction framework), Rupicola (a compiler-construction toolkit), Kôika (a rule-based hardware design language), Cuttlesim (a fast hardware simulator), and Alectryon (a literate programming system for Coq). His publications span top venues including PLDI, POPL, ICFP, ASPLOS, and SLE, with recent work focusing on verified JavaScript regular expressions, foundational integration verification of cryptographic servers, and relational compilation techniques. His research aims to build small, fast, and completely verified components for critical systems through a combination of machine-checked proofs, hardware-software co-design, low-level compiler engineering, and new tools for interactive theorem proving. His notable awards include the Distinguished Artifact award at SLE 2020 for 'Untangling Mechanized Proofs,' the William A. Martin Memorial Thesis Award from MIT in 2016, and the Frederick C. Hennie III Teaching Award from MIT in 2016. He has served on program committees for numerous conferences including PLDI, POPL, ICFP, and SPLASH, and has organized workshops such as the Coq Workshop and Proof Systems. As an educator, he teaches 'Software Construction' (undergraduate level, ~400 students) and 'Interactive Theorem Proving' (graduate level) at EPFL. His teaching philosophy emphasizes hands-on learning, continuous assessment through oral examinations, and designing assignments that lead students to build concrete artifacts they can be proud of. His approach is informed by hundreds of hours of in-class instruction in Europe and the US, resulting in stellar student reviews and multiple teaching awards.

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Amir BoagView profile

Professor

Tel Aviv UniversityIsrael

Prof. Amir Boag is a Professor in the Physical Electronics Department of the School of Electrical Engineering at Tel Aviv University. He received his B.Sc. and B.A. degrees Summa Cum Laude in 1983, M.Sc. in 1985, and Ph.D. in 1991, all from the Technion - Israel Institute of Technology. His academic journey includes faculty positions at the Technion (1991-1992), a Visiting Assistant Professorship at the University of Illinois at Urbana-Champaign (1992-1994), and industry experience at Israel Aircraft Industries (1994-1999) before joining Tel Aviv University in 1999. Prof. Boag's research focuses on computational electromagnetics and acoustics, specializing in numerically efficient algorithms, beam representations of fields, radar imaging techniques including Synthetic Aperture Radar, quantum-electromagnetic simulations, and antenna/nano-antenna design. His work bridges theoretical developments with practical applications in electromagnetic and acoustic systems. His research group comprises over ten graduate students working on cutting-edge problems in wave physics. Prof. Boag has published more than 130 journal articles and presented over 300 conference papers. He has been instrumental in organizing the Tel Aviv University Antenna Symposium and Underwater Acoustics Symposium, with the 13th Underwater Acoustics Symposium scheduled for October 23, 2025. IEEE Fellow (2008) for contributions to integral equation based analysis, design, and imaging techniques Fellow of the Electromagnetics Academy Former Associate Editor for IEEE Transactions on Antennas and Propagation Holder of approximately ten patents in electromagnetics and antenna design Prof. Boag's research demonstrates strong continuity in developing efficient numerical methods for electromagnetic and acoustic problems, with increasing focus on quantum-electromagnetic interactions and nano-scale applications in recent years. His work maintains strong connections between fundamental theory and practical engineering applications, particularly in radar and imaging systems.

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Anas IslamView profile

Lecturer

Louisiana State University of AlexandriaUnited States

Dr. Anas Islam is a Lecturer at Integral University Faculty of Pharmacy in Lucknow, India, where he has established himself as a productive researcher with 84 publications and 161 citations. His academic journey began at Integral University where he completed both his undergraduate studies (July 2015 - May 2019) and Master's degree in Pharmacology (August 2019 - September 2021). Dr. Islam's research spans multiple cutting-edge areas of pharmaceutical sciences with particular focus on: Pharmacology and drug delivery systems Nanomedicine applications in cancer and wound healing Gut microbiome research and its connection to neurological disorders Novel therapeutic approaches using biogenic materials Applications of artificial intelligence in disease diagnosis and treatment His recent work demonstrates a sophisticated multidisciplinary approach, combining nanotechnology, microbiome science, and computational methods to address complex medical challenges. Dr. Islam has made significant contributions to understanding the role of exosomes in wound healing, the application of AI in cancer research, and the development of sustainable nanomaterials from waste products. As part of Anuradha Mishra's Lab at Integral University, Dr. Islam actively collaborates with numerous researchers across India, contributing to a wide range of pharmaceutical research projects that bridge traditional pharmacological approaches with modern technological innovations.

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Matthew NeurockView profile

Professor

University of Minnesota Twin CitiesUnited States

Matthew Neurock is a Professor in the Department of Chemical Engineering and Materials Science (CEMS) at the University of Minnesota's College of Science and Engineering. His office is located in Amundson Hall on the Minneapolis campus, where he leads the Materials Theory research group, also known as the Computational Catalysis Group. Professor Neurock's research focuses on the development and application of computational tools to simulate heterogeneous catalytic systems for sustainable production of fuels, chemicals, and materials. His work employs a multi-scale approach combining first-principle quantum chemical methods, molecular dynamics simulations, and microkinetic models to understand catalyst structure-performance relationships. Key research areas include: Electrocatalysis (Heterogeneous and Homogeneous) Nanoporous Catalysts Biomass and Plastics Pyrolysis Solvent Effects in Electrochemical systems Metal and Metal Oxide Catalysts Development and Application of Kinetic Monte Carlo simulations Analysis of his recent publications (2021-2024) reveals a strong focus on sustainable catalytic processes, particularly for energy conversion and environmental applications. His work frequently bridges computational predictions with experimental validation through extensive collaborations. The publications demonstrate expertise in understanding reaction mechanisms at the atomic level while connecting these insights to macroscopic catalytic performance. Professor Neurock has received recognition for his work, including the Kokes Award mentioned in group news. His research program appears well-funded based on the consistent publication output and student support. He has advised numerous PhD students, many of whom have gone on to academic positions at institutions like University of Massachusetts-Amherst, Truman State University, and Louisiana State University, while others have pursued careers in industry at companies including Lam Research and engineering firms. Professor Neurock maintains an active research group with new students joining annually, indicating ongoing research funding and program vitality.

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Jean-Philippe NoyelView profile

Associate Professor

ECAM LyonFrance

Jean-Philippe Noyel serves as Associate Professor at ECAM School of Engineering in Lyon, France, within the Materials and Structures department. His academic position focuses on mechanical engineering research with specialization in material behavior under cyclic loading conditions and contact mechanics. His research expertise spans critical mechanical engineering domains: Finite Element Analysis and Computational Modeling Solid and Applied Mechanics Stress Analysis and Fracture Mechanics Damage Mechanics and Material Degradation Dr. Noyel's publication record (2009-2025) reveals a consistent research trajectory centered on rolling contact fatigue mechanisms, where he pioneered mesoscopic modeling approaches to predict crack initiation at grain boundaries. His work integrates crystal anisotropy and microstructural effects into cohesive zone models, advancing predictive capabilities for components like bearings and gears. Concurrently, he has made significant contributions to polymer nanocomposite research, particularly investigating viscoelastic effects in BaTiO3-filled HDPE systems through combined experimental and micromechanical approaches.

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Janet CoulterView profile

Senior Lecturer

University of Southern BrittanyFrance

Dr. Janet Coulter is a Senior Lecturer in Fashion Design at Belfast School of Art, Ulster University, with a distinguished career spanning both industry and academia. Her expertise encompasses fashion design, technology, manufacturing, and management. Coulter has held leadership roles including Director of Academic Enterprise for nearly a decade and Faculty e-learning coordinator, demonstrating her commitment to innovation in education and industry partnerships. Her educational background is highly interdisciplinary: PhD in Fashion Technology (Ulster University) MBA (Ulster University Business School) MSc in Multimedia Computer-Based Learning with Education (Queen's University Belfast) Postgraduate Diploma in Higher Education BA (Hons) in Textile and Fashion Design Foundation Diploma in Art and Design Dr. Coulter's research focuses on the intersection of fashion, technology, and wellbeing. She pioneers work in e-fashion wearables that monitor biomarkers associated with stress to support mental health, particularly among students. Her sustainable fashion research explores bio-degradable materials from natural sources and circular economy approaches. Coulter also investigates 3D fashion simulation in virtual environments and strategic co-design methodologies in creative industries, bridging the gap between traditional fashion practices and digital innovation. Her publication record reveals an evolving trajectory from foundational work in e-textiles for wellbeing toward increasingly sophisticated applications of artificial intelligence in fashion design and production. Recent research demonstrates a strong focus on sustainable practices, gender inclusivity in STEM education through textile applications, and the commercialization of innovative fashion technologies. Coulter's work consistently addresses real-world challenges through multidisciplinary collaboration. Dr. Coulter's contributions have been recognized with numerous prestigious awards: Distinguished Enterprise Fellowship from Ulster University Outstanding Innovation Award from InterTrade Ireland Rolls Royce Science Prize (2017) Distinguished Educational Excellence in Innovative Practice Award Senior Fellow of the Higher Education Academy Fellow of the Centre for Higher Education Research Practice As an academic leader, Coulter has successfully secured £831,830 in research funding and led 8 KTP/FUSION projects and 8 Innovation vouchers. She has mentored numerous PhD students and serves as an external examiner for multiple institutions including Dundee University. Her strategic research partnerships have resulted in commercial applications such as thermoplastic moulded bullet proof armour for female officers deployed to Afghanistan and international market expansion for bio-waste fashion products in Kuwait, Saudi Arabia, and Korea. Dr. Coulter maintains active industry connections through her role as Director of Academic Enterprise and participation in professional organizations including the Institute of Designers in Ireland. Her research group focuses on virtual/3D augmented fashion technologies, bio-textiles for sustainable fashion, and collaborative design approaches that bridge academia and industry. Current projects explore AI applications in fashion design, metaverse fashion experiences, and innovative materials development for circular economy models.

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