جست‌وجوی استاد و پژوهشگر

• Clinical biomechanics of the shoulder
• Computational shoulder models
• Finite element analysis
• +۷ مورد دیگر

Eva C. Herbst is a Postdoctoral Researcher in Shoulder Biomechanics at ETH Zurich's Institute for Biomechanics, Department of Health Sciences and Technology. She works in close collaboration with Prof. Dr. Stephen Ferguson at ETH and Prof. Dr. med. Philipp Moroder at the Schulthess Clinic, developing computational models to investigate dynamic joint loading in patients and maximize clinical impact. Her research integrates multi-body dynamics and finite element modeling to create shoulder biomechanics models for implant development and patient analysis. With a background in comparative biomechanics and paleontology, she maintains a strong interest in the link between form and function across biological contexts, applying evolutionary perspectives to clinical problems. Clinical biomechanics of the shoulder Computational modeling for implant development Finite element analysis and multibody dynamics Biomechanical analysis of patient-specific scenarios Comparative biomechanics across evolutionary time scales Dr. Herbst has developed several important computational tools that have gained recognition in the biomechanics community, including Spherical Frame Projections for visualizing joint range of motion, Trabecular Segmentation techniques for bone analysis, and MyoGenerator, a Blender add-on for 3D muscle modeling. She founded Finite Element Zurich to make finite element modeling more accessible by sharing resources, code, and workflows. Her publication record shows a clear progression from evolutionary biomechanics toward clinical applications, with recent work focusing on shoulder arthroplasty, osseous shoulder morphology, and patient-specific computational modeling. Her earlier research examined paleopathology in early tetrapods, cervical morphology in sloths, and salamander locomotion. She actively shares her research tools through GitHub, FigShare, and Morphosource, demonstrating a strong commitment to open science practices.

• Composite materials
• Structural fracture and failure
• Structural dynamics
• +۵ مورد دیگر

Zhenmin Zou is a Lecturer in Mechanical and Aerospace Engineering at Nanjing University of Aeronautics & Astronautics (NUAA), China. He holds a BEng, MEng, and PhD from NUAA. His career includes roles as a Research Associate and Research Fellow at UMIST and the University of Manchester. His research focuses on composite materials, structural fracture mechanics, thermomechanical behavior of hybrid composites, and biomechanical systems. Key areas include fiber hybrid composites, microstructural analysis, and advanced manufacturing techniques for biomedical applications. Education: BEng (Aircraft Engineering, NUAA), MEng (Solid Mechanics, NUAA), PhD (Aircraft Engineering, NUAA). Research Interests: Composite materials and structures Structural dynamics and fracture High strain rate material response Biomechanics and bioinspired designs Finite element modeling Thermomechanical behavior of composites Recent work emphasizes fiber hybridization effects, micro-stress fields in composites, and fatigue characterization of joints. His contributions to the Manchester Biomanufacturing Centre and Structural and Fire Engineering themes align with UN Sustainable Development Goals. Collaborations include international institutions and industry partners in materials science and biomedical engineering.

Stephan Simonisمشاهده پروفایل

پژوهشگر ارشد

• Applied Mathematics
• Computational Mathematics
• Numerical Analysis
• +۷ مورد دیگر

Dr. Stephan Simonis is a Research Fellow at the Karlsruhe Institute of Technology (KIT), working within the Department of Mathematics and specifically with the Institute for Applied and Numerical Mathematics (IANM2). He leads the LBRG Mathematical Modeling and Numerics Lab since 2023 and serves as an associate editor for the Elsevier journal Examples and Counterexamples since 2024. He is also a member of the steering committee for the EU-funded FALCON project (doi: 10.3030/101138305). Dr. Simonis completed his education as follows: BSc and MSc in Mathematics at KIT, Germany and KTH, Sweden (2011-2018) PhD in Mathematics at KIT (2023), with research visits at UFRGS, Brazil and ETH Zürich, Switzerland Dr. Simonis's research focuses on Applied and Computational Mathematics, particularly in developing and analyzing numerical methods for partial differential equations. His work centers on lattice Boltzmann methods for multi-physics simulations, including applications to fluid flow, blood flow, and solid mechanics. He integrates robust numerical schemes with uncertainty quantification and machine learning, leveraging high-performance computing to explore complex parameter spaces. His research has significant applications in engineering and scientific computing. His publication record demonstrates a strong focus on numerical analysis of lattice Boltzmann methods, with recent work expanding into uncertainty quantification, machine learning integration, and applications to complex fluid dynamics problems. The breadth of his work spans theoretical analysis, algorithm development, and practical implementation in the OpenLB library, with publications in top journals across mathematics, physics, and engineering disciplines. Dr. Simonis has received numerous accolades for his work: ERASMUS+ EQF7 scholarship (2016-2017) DAAD PPP mobility funding (2019) KIT Faculty Teaching Award (2021) KHYS Networking Grant (2022) KHYS ConYS Grant (2024) Oberwolfach Leibniz Graduate Student (2024) NHR Starter project (2024) DAAD PRIME fellowship (2025) Dr. Simonis actively mentors students through various thesis projects in mathematics, fluid dynamics, and high-performance computing. His current open thesis topics focus on lattice Boltzmann methods, relaxation schemes, and stability analysis. He has secured significant research funding including the DAAD PRIME fellowship and NHR Starter project, demonstrating strong support for his research program. His teaching portfolio includes Computational Fluid Dynamics and Simulation Lab, Parallel Computing, and Project-centered Software Lab across multiple semesters. As leader of the LBRG Mathematical Modeling and Numerics Lab since 2023, Dr. Simonis oversees a research group focused on developing advanced numerical methods. His involvement in the EU-funded FALCON project and as associate editor for Examples and Counterexamples further demonstrates his growing leadership in the computational mathematics community.

Florentina Toneمشاهده پروفایل

استاد

• Numerical Analysis
• Partial Differential Equations
• Convergence Analysis
• +۴ مورد دیگر

Dr. Florentina Tone is a Professor in the Department of Mathematics and Statistics at the University of West Florida, part of the Hal Marcus College of Science and Engineering. She has been a faculty member since 2006, contributing to both undergraduate and graduate education through classroom and online instruction. Her academic background includes a Ph.D. in Mathematics from Indiana University and both a Master’s and Bachelor’s degree in Mathematics from the University of Bucharest, Romania. Dr. Tone's research is centered on numerical analysis of partial differential equations , with a focus on convergence, stability, and error estimation of numerical schemes. Her work applies to fluid dynamics, phase field models, and coupled physical systems. She has published in leading journals such as SIAM Journal on Numerical Analysis and Numerische Mathematik , and has presented at numerous national and international conferences. The analysis of her recent publications reveals a consistent focus on rigorous mathematical validation of numerical methods, particularly finite element and finite difference schemes for time-dependent PDEs. Her work spans applications in fluid mechanics, heat transfer, chemotaxis, and electromagnetics, demonstrating strong interdisciplinary reach within applied mathematics. She has been recognized for her contributions with the Distinguished Research and Creative Activities Award from UWF. This honor reflects her sustained excellence in scholarly output. Dr. Tone actively supervises student research projects and teaches courses such as Complex Analysis, Numerical Analysis, Linear Algebra, and Calculus. While specific grant details are not listed, her sustained publication record and award suggest active research funding. She has mentored students through research advising, contributing to academic development within the department. She is affiliated with the Department of Mathematics and Statistics, which supports research through seminars, colloquia, and student associations such as the Math Association. The department also hosts technical reports and research labs, including the CSDA Lab, which may support data-intensive computational work.

Jia Liuمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Linear Algebra
• Sparse Matrix Computations
• +۹ مورد دیگر

Dr. Jia Liu is a Professor and Chair of the Department of Mathematics and Statistics at the University of West Florida, within the Hal Marcus College of Science and Engineering. She has been a key academic figure at UWF since 2006, leading both research and departmental initiatives in computational and applied mathematics. Her educational background includes a Ph.D. in Mathematics from Emory University, funded by the National Science Foundation, focusing on preconditioned Krylov subspace methods for incompressible flow problems. She earned her M.S. and B.A. in Mathematics from Central China Normal University, where her bachelor's thesis received the highest honor. Dr. Liu's research lies at the intersection of numerical linear algebra, scientific computing, and interdisciplinary applications. Her primary interests include: Numerical solvers for large sparse linear systems Krylov subspace iterative methods Preconditioning techniques Applications to Navier-Stokes and optimization problems Geometric and topological analysis of ellipsoids Complex networks and community detection via spectral clustering Machine learning for disease prediction and biological modeling The trends in her publications reflect a consistent focus on robust numerical algorithms with applications across fluid dynamics, network science, and biomedical modeling. Her work emphasizes both theoretical development and practical implementation in high-performance computing environments. Dr. Liu has served as an editor and editorial board member for several peer-reviewed journals and regularly reviews submissions. While specific awards are not listed, her sustained publication record in prestigious venues such as SIAM Journal on Scientific Computing and Journal of Biological Dynamics underscores her scholarly impact. As department chair and professor, she plays a central role in academic advising, curriculum development, and research mentorship. She teaches core courses including Differential Equations, Numerical Analysis, and Real Analysis, contributing significantly to both undergraduate and graduate education. Her leadership extends to managing research grants and fostering collaborations across disciplines. Though no formal lab name is mentioned, her research activities suggest involvement with computational modeling groups, likely associated with applied mathematics and data science initiatives at UWF. Her ongoing work continues to advance numerical methods for complex systems in science and engineering.

Dinesh K. Paiمشاهده پروفایل

استاد

• Sensorimotor Computation
• Computer Graphics
• Robotics
• +۵ مورد دیگر

Dinesh K. Pai is a Professor and Tier 1 Canada Research Chair in the Department of Computer Science at the University of British Columbia, where he directs the Sensorimotor Systems Laboratory. He holds cross-appointments at UBC’s Institute for Computing, Information and Cognitive Systems (ICICS), Institute of Applied Mathematics, Graduate Program in Neuroscience, ICORD International Collaboration on Repair Discoveries, and Brain Research Centre. His educational background includes a Ph.D. from Cornell University and a B.Tech. from the Indian Institute of Technology, Madras. His research spans sensorimotor computation with applications in computer graphics, robotics, biomechanics, haptics, and neurobiology. Recent work focuses on human body modeling, garment simulation, soft tissue dynamics, and friction measurement, leveraging machine learning and physics-based simulation techniques. Pai’s publication trends reveal a strong interdisciplinary focus on human-centered computational models, with increasing integration of machine learning for 3D pattern adjustment, body shape generation, and cloth simulation. His work bridges computer graphics with biomechanics and neuroscience through sensorimotor computation. UBC’s 2012 Killam Research Prize CHCCS 2020 Achievement Award Tier 1 Canada Research Chair His research has been supported by significant grants including NSERC Discovery and Idea-to-Innovation grants, a Major Thematic Grant from the Peter Wall Institute for Advanced Studies, and a Human Frontier Science Program grant for studying CNS modularity. As leader of ICICS’ Human Sensorimotor Systems theme, he directs a multidisciplinary team exploring computational models of human sensorimotor function. The Sensorimotor Systems Laboratory operates state-of-the-art facilities featuring a Vicon MX motion capture system, LMI HDI body scanner, eye trackers, skin measurement instruments, EMG systems, haptic interfaces, and robotic platforms for advancing human-computer interaction research.

• Multi-compartment modeling
• Cerebral arterial circulation
• Electrical conductivity
• +۵ مورد دیگر

Maryamolsadat Samavaki is a Researcher affiliated with the Computing Sciences Mathematics Research Centre , focusing on computational modeling of cerebrovascular dynamics and neuroelectromagnetism. Her work bridges biomedical engineering and applied mathematics through advanced numerical methods. Key research areas include EEG source localization , transcranial stimulation , and multi-compartment head modeling . Develops spatiotemporal hemodynamic models to analyze microcirculation and blood volume fractions. Applies L1-norm optimization and metaheuristic algorithms for neurostimulation montage design. Recent publications explore cerebral circulation's impact on electrical conductivity and in silico imaging techniques using anatomical atlases . Collaborations emphasize boundary-fitted meshing for subcortical structures in EEG modeling.

• Biomedical Engineering
• Computational Neuroscience
• Medical Imaging
• +۳ مورد دیگر

Santtu Söderholm is a doctoral researcher affiliated with the Mathematics Research Centre. His academic focus lies within biomedical engineering and computational neuroscience, utilizing numerical simulation techniques to analyze cerebral blood flow and electrical conductivity in brain tissue. His research interests include: Computational modeling of cerebral hemodynamics Dynamic brain imaging techniques EEG source reconstruction Multi-compartment head modeling Impact of blood circulation on biomedical signals Finite element method applications in neuroimaging Recent publications highlight his work on diffusion approximation in microcirculation analysis (2025), dynamic impact modeling (2024), and the Pressure–Poisson equation's role in simulating arterial flow (2023). Santtu has also contributed to open-source datasets and presented on computational assessment methods at a conference in 2018.

Brian Beeckenمشاهده پروفایل

استاد

• Physics
• Engineering
• Spacecraft Charging
• +۶ مورد دیگر

Brian Beecken is a Professor in the Department of Physics & Engineering within the College of Arts and Sciences at Bethel University, where he has been a faculty member since 1988. His work bridges physics and engineering, with a strong emphasis on applied research in space and defense technologies. Education: B.A. in Mathematics and Physics, Elmhurst College, 1980 M.S. in Physics, University of Minnesota, 1984 Ph.D. in Physics, University of Minnesota, 1986 Brian Beecken's research is centered on the physical and engineering challenges of spacecraft systems, particularly the modeling of dielectric charging in space environments and the development and analysis of optical and infrared detectors. His work involves advanced statistical and computational modeling to understand noise in focal plane arrays and limitations in infrared detection systems. These interests are deeply applied, with real-world implications for satellite reliability and remote sensing technologies. His publication record, though modest in volume (around a dozen papers), reflects sustained engagement with high-impact research problems in aerospace and defense. The articles span topics from spacecraft charging to infrared imaging, showing a consistent focus on detector physics and space environment interactions. The keywords across these works highlight expertise in Physics , Engineering , Optics , and Space Science , with subfields including noise modeling , infrared detection , statistical analysis , and spacecraft surface charging . Scientific Awards: Bethel Excellence in Scholarship Award Brian Beecken has secured significant external funding for his research, demonstrating strong national recognition. His work has been supported by 5 NASA fellowships , 1 NASA grant , 2 grants from the Air Force Office of Scientific Research (AFOSR) , 4 AFOSR fellowships , 4 fellowships from the American Society for Engineering Education , 1 grant from Calspan Corp. , and is currently funded by a 2-year grant from the Air Force Research Laboratory . These grants support both his research and likely the training of student researchers, although specific advisees are not listed. His collaborations with NASA's Jet Propulsion Laboratory (JPL), Langley Research Center, and multiple Air Force labs underscore his integration into national research networks. While no formal lab or research team is explicitly named, his extensive collaborative projects with federal agencies suggest leadership in a research group focused on applied physics and engineering at Bethel. His work on test facility development at Eglin Air Force Base further indicates project management and instrumentation development experience.

• Economics
• International Financial Transactions
• Risk Management
• +۵ مورد دیگر

Botea Lucian is a Ph.D. Lecturer at Romanian-American University, with a career spanning since 2003 in teaching and academic service. His expertise lies in Economics, International Financial Transactions, and Digital Transformation, alongside roles in management as VP for Partnership Development and Digital Transformation. Post Ph.D.: World Economy and Finance, Romanian Academy Ph.D.: International Financial Transactions M.Sc.: International Business His research focuses on international finance, risk management, education internationalization, and business acceleration. He has contributed to publications analyzing financial flows, crisis propagation, and innovation in the global economy. Selected trends in his 2009-2015 publications include cross-border financial systems, digital transformation impacts, and crisis modeling techniques. American Economic Association (AEA) European Association for International Education (EAIE) Romanian Society of Economy (SOREC) He has held leadership roles as MBA Program Coordinator, Vice-Dean, Dean, and currently VP at Romanian-American University, driving digitalization and internationalization initiatives.

Christoph Beckermannمشاهده پروفایل

استاد

• Solidification Science
• Metal Casting
• Thermal Sciences
• +۵ مورد دیگر

Christoph Beckermann is the University of Iowa Foundation Distinguished Professor of Mechanical Engineering and Director of the Solidification Laboratory at the University of Iowa's College of Engineering. He has been a faculty member since 1987, progressing from Assistant to full Professor in 1996, and holds one of the highest academic honors at the university. His educational background includes a Vordiplom from the University of Hannover and M.S. and Ph.D. degrees in Mechanical Engineering from Purdue University. He served in the German military before pursuing higher education. Beckermann's research focuses on solidification science, metal casting, thermal and fluid sciences , with strong emphasis on computational modeling of multiphase systems, heat transfer, and materials processing. His work spans from fundamental phase-field simulations to industrial-scale casting and additive manufacturing. He integrates numerical methods with experimental validation to understand microstructure evolution, inclusion dynamics, and macrosegregation. The 15 most recent publications reflect a consistent trend in multiscale and multiphysics modeling of solidification phenomena, combining phase-field methods with fluid dynamics, thermomechanics, and granular flow. Keywords include solidification, materials processing, computational modeling, and transport phenomena, with subfields ranging from dendritic growth to residual stress prediction in additive manufacturing. Fulbright Award (1982–84) NSF Presidential Young Investigator Award (1989) Bruce Chalmers Award, TMS (2010) Heat Transfer Memorial Award, ASME (2017) Nagy El-Kaddah Award, TMS (2021) Founders' Choice Award, SFSA (2022) Beckermann has supervised 25 Ph.D. and 23 M.S. students , along with 12 postdocs and 20 visiting scholars. He has secured approximately $20 million in external research funding from federal and industrial sources. His editorial roles include long-term service on Metallurgical and Materials Transactions and the International Journal of Cast Metals Research . He has delivered over 60 invited seminars and 13 plenary lectures globally. He leads the Solidification Laboratory at the University of Iowa, which focuses on computational and experimental studies of solidification processes. The lab develops advanced models for inclusion transport, grain motion, and macrosegregation, with applications in steel casting, additive manufacturing, and aerospace materials.

• Applied Mathematics
• Numerical Analysis
• Finite Volume Methods
• +۵ مورد دیگر

Maria Elena Vazquez Cendon is a University Professor in the Department of Applied Mathematics at the Faculty of Mathematics, University of Santiago de Compostela (USC), Spain. She is actively engaged in teaching and research in applied and computational mathematics, with a focus on numerical methods and mathematical modeling. Her research interests lie primarily in numerical analysis , finite volume methods , and scientific computing , with applications in engineering and environmental simulations. These interests are reflected in her teaching of advanced numerical methods and computational software for industrial and environmental problems. While specific publications are not listed in the provided text, her involvement in the research group on Mathematical Engineering and her instruction in advanced finite volume methods and numerical simulation suggest a strong research program in computational applied mathematics. The absence of listed articles prevents a detailed trend analysis, but the thematic focus is clearly on robust and efficient numerical schemes for real-world problems. She has not been mentioned to have received any specific scientific awards in the provided content. She advises students at multiple levels, though specific names are not provided. She teaches in both undergraduate and postgraduate programs, including the Bachelor’s in Mathematics and Informatics Engineering, the Master in Industrial Mathematics, and the Doctoral Programme in Mathematical Modelling and Numerical Simulation. There is no mention of external grants, but her role implies participation in research funding and academic supervision. Maria Elena Vazquez Cendon is part of the Mathematical Engineering research group at USC, which likely focuses on the development and analysis of numerical methods for industrial and scientific applications.

• Astrophysics
• Gamma-Ray Bursts
• Gravitational Lensing
• +۱۲ مورد دیگر

R. J. Nemiroff is a Professor in the Department of Physics at Michigan Technological University, where he conducts research in astrophysics, particularly in gamma-ray bursts, gravitational lensing, cosmology, and sky monitoring. He is widely recognized as the co-creator of the Astronomy Picture of the Day (APOD), a pioneering public outreach project launched in 1995. His academic work spans theoretical, observational, and computational domains, and he has mentored several PhD students whose theses contributed to major projects like the Night Sky Live network. University: Michigan Technological University School: College of Sciences and Arts Department: Department of Physics Academic Rank: Professor His research interests include: - Gamma-ray burst physics (time dilation, pulse structure, hardness-luminosity relation) - Gravitational lensing (solar lens, microlensing, finite source effects) - Cosmology (Friedmann equations, dark energy, ultralight energy) - Sky monitoring and transient detection (CONCAM, Night Sky Live) - Astronomical data systems (ASCL, PHOTZIP compression) The 15 most recent articles reflect a strong focus on time-domain astrophysics, observational strategies, and innovative instrumentation. Trends include the development of all-sky monitoring networks, theoretical models for GRB emission, and methods to improve data accessibility and reproducibility in astronomy. His work bridges theoretical insight with practical implementation, often leading to falsifiable predictions and widely used tools. Scientific contributions: Co-founded APOD, a landmark science communication platform Founded the Astrophysics Source Code Library (ASCL) Organized modern versions of historic astronomical debates Discovered GRB time dilation signal with Jay Norris Proposed the solar gravitational lens as a future telescope Nemiroff has advised multiple PhD students, including Bijunath Patla, Lior Shamir, and Amir Shahmoradi, whose work advanced projects in lensing, data compression, and GRB physics. He secured NSF funding for the CONCAM/NSL project, which deployed fisheye cameras globally for cloud and transient monitoring. Though the project ended due to funding constraints, it pioneered real-time sky monitoring practices now adopted worldwide. He leads or has led several innovative teams: Night Sky Live (NSL) project team for global sky monitoring APOD editorial team with Jerry Bonnell ASCL development and curation group GRB research group at NASA GSFC and MTU

Matthias Karlbauerمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Physics-Aware Neural Networks
• +۱۲ مورد دیگر

Matthias Karlbauer is a Postdoctoral Researcher in the Cognitive Modeling group at the Wilhelm Schickard Institute for Computer Science, University of Tübingen. He is currently working in the Land-Atmosphere Feedback Initiative (LAFI), focusing on physics-aware machine learning for climate and environmental modeling. His work bridges cognitive science, artificial intelligence, and geophysical systems. PhD in Cognitive Modeling, University of Tübingen (2019–2024) Master of Cognitive Science, University of Tübingen (2015–2018) Bachelor of Cognitive Science, University of Tübingen (2012–2015) Scholar, International Max Planck Research School for Intelligent Systems (IMPRS-IS) His research centers on physics-aware neural networks , spatiotemporal data prediction , and deep learning for environmental systems . He develops models like DISTANA and finite volume neural networks to integrate physical laws into neural architectures, enabling robust forecasting of temperature, geopotential, and fluid dynamics. His interests also extend to generative models, recurrent networks, and graph neural networks applied to climate and sustainability challenges. The recent publications show a strong trend toward integrating partial differential equations with neural networks, denoising spatiotemporal signals , and modeling physical processes using hybrid AI. His work emphasizes interpretability, physical consistency, and real-world applicability in climate science and cognitive modeling. Matthias has actively supervised multiple Bachelor’s and Master’s students on projects related to neural network applications in physics and climate data. He has contributed to teaching as a tutor and lecturer in courses such as Generative and Recurrent Neural Networks , Advanced Artificial Neural Networks , and Graph Neural Networks . While no formal grants are mentioned, his IMPRS-IS affiliation suggests institutional funding support. He is part of the Cognitive Modeling research group at the University of Tübingen, collaborating on projects involving neural modeling of cognitive and physical processes, with a focus on sustainability and climate protection.

• Numerical Analysis
• Iterative Methods
• Nonlinear Equations
• +۷ مورد دیگر

Vicente Fco Candela Pomares is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, University of Valencia, Spain. His academic career has been centered on numerical analysis and computational mathematics, with a focus on iterative methods for nonlinear equations and multiresolution techniques. His research interests lie primarily in Numerical Analysis , especially iterative root-finding methods such as Halley, Chebyshev, and Steffensen-type algorithms. He has contributed significantly to the convergence analysis of these methods, particularly in Banach spaces and for ill-conditioned problems. His work extends to multiresolution analysis , wavelets , and image restoration , where he applies fractional regularization and nonlinear approximation frameworks. The trends in his recent publications show a sustained focus on derivative-free iterative methods , convergence theory , and applications in image processing . His work often bridges theoretical numerical analysis with practical computational challenges. He earned his PhD from the University of Valencia in 1988 under the supervision of Dr. Antonio Marquina Vila, with a thesis on a priori error estimators for iterative methods. He has collaborated extensively with researchers including Sergio Amat, Sonia Busquier, and Rosa Peris. Notable co-authors include Pantaleón D. Romero and Francesc Aràndiga. His publications appear in high-quality journals such as Journal of Computational and Applied Mathematics , Applied Mathematics and Computation , and SIAM journals. He is actively affiliated with the University of Valencia, as evidenced by his institutional email and ongoing publications. There is no indication of part-time status, retirement, or awards in the available data.