جست‌وجوی استاد و پژوهشگر

Jens Markus Melenkمشاهده پروفایل

استاد

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +۳ مورد دیگر

Prof. Jens Markus Melenk is a Professor of Computational Mathematics at Vienna University of Technology (TU Wien). He holds a PhD in Applied Mathematics from the University of Maryland and has held academic positions at institutions such as ETH Zurich, University of Reading, and several German universities. His research focuses on numerical methods for partial differential equations (PDEs), including finite element methods (FEM), hp-FEM, boundary element methods, and adaptive algorithms. He teaches courses on numerical analysis, PDEs, and computational mathematics, emphasizing topics like elliptic regularity theory, FEM convergence, and a posteriori error estimation. Education: PhD in Applied Mathematics, University of Maryland (1995) Habilitation, ETH Zurich (2000) Master's in Applied Mathematics, University of Maryland (1992) Research Interests: Development and analysis of numerical methods for PDEs hp-FEM and high-frequency Helmholtz problems Adaptive finite element methods and error estimation Homogenization and multiscale problems Computational aspects of continuum mechanics Awards/Grants: Member of SFB 'Taming Complexity in Partial Differential Systems' FWF individual project on H-matrix analysis Completed projects include WWTF 'Light Coupling to Light' and DFG SPP 'Multiscale Problems' Labs/Teams: Involved in research groups at TU Wien's Institute of Analysis and Scientific Computing, focusing on computational mathematics and numerical analysis.

Ravindra Dudduمشاهده پروفایل

دانشیار

• Computational Solid Mechanics
• Multi-scale Fracture Mechanics
• Computational Geophysics
• +۵ مورد دیگر

Dr. Ravindra Duddu is an Associate Professor of Civil and Environmental Engineering and Mechanical Engineering, and an Assistant Professor of Earth & Environmental Sciences at Vanderbilt University's School of Engineering. He joined Vanderbilt in 2012 after postdoctoral research at Columbia University and the University of Texas at Austin. His research focuses on computational solid mechanics, multi-scale/multi-physics fracture mechanics, and constitutive modeling. He develops advanced numerical methods like phase-field fracture models, extended finite element methods, and parallel computing frameworks to study ice mechanics, material degradation, and geophysical processes. Education: Ph.D. in Civil Engineering, Northwestern University M.S. in Civil Engineering, Northwestern University B.Tech. in Civil Engineering, Indian Institute of Technology Madras Research Interests: Dr. Duddu’s work bridges computational mechanics and geoscience, with emphases on: (1) multi-scale modeling of quasi-brittle materials (e.g., ice, ceramics) under thermal-mechanical stresses; (2) microstructure evolution in superalloys for aerospace applications; and (3) computational glaciology, including ice shelf calving and hydraulic fracture. His methods leverage C++, FORTRAN, and commercial FEA tools like ABAQUS. Key Projects: ADVISER: Cloud-based simulation environment for geoscience Phase-field modeling of ice cliff stability and supraglacial lake drainage CNN-based surrogate models for composite material optimization Grants & Outreach: Recipient of NSF CAREER Award (2019) for ice shelf modeling and educational outreach. Active in interdisciplinary initiatives like CryoCommunity, promoting equity/diversity in polar sciences.

Katarina Grznarovaمشاهده پروفایل

پژوهشگر

• Neurodegenerative Diseases
• Protein Aggregation
• Alzheimer's Research
• +۹ مورد دیگر

Katarina Grznarova is a post-doctoral researcher at the Brain Institute (Sorbonne University/CNRS/Inserm/AP-HP), specializing in neurodegenerative diseases. Her work focuses on protein interactions and aggregation mechanisms linked to Alzheimer’s, Parkinson’s, and prion diseases, with an emphasis on developing diagnostic methods for early detection using biological fluids like cerebrospinal fluid. She collaborates internationally, including with the Indian Institute of Technology Delhi (IITD), to advance structural biology techniques such as cryo-electron microscopy and crystallography. Education: PhD in Neuroscience and Biochemistry. Professional roles include research expertise in diagnostic tool development and protein aggregation studies. Collaborations with Professors Ashok Patel and Manidipa Banerjee at IITD highlight her commitment to global scientific exchange and skill-sharing. She advocates for interdisciplinary collaboration and researcher training, emphasizing the importance of combining practical experimental techniques with theoretical knowledge. Key research interests span neurodegenerative disease mechanisms, protein folding, and structural biology. She actively engages in mentoring master’s and PhD students, balancing her own research with technical training responsibilities. Her work addresses critical societal challenges, aiming to improve early detection and therapeutic strategies for neurodegenerative diseases. Future directions include expanding collaborations with IITD’s advanced facilities to study protein aggregates and foster student exchanges. She emphasizes the need for continuous skill development in cutting-edge techniques like cryo-EM, driven by the demand for precise diagnostic tools and deeper understanding of disease propagation.

Volker Heunمشاهده پروفایل

استاد

• Algorithmic Bioinformatics
• Protein Folding
• Data Structures
• +۴ مورد دیگر

Volker Heun is a Professor of Bioinformatics at Ludwig-Maximilians-Universität München (LMU), holding positions within the Faculty of Mathematics, Computer Science, and Statistics since 2003. He currently serves as Vice Dean of the faculty and holds various academic coordination roles, including Bioinformatics program coordination and ERASMUS coordination. His academic journey includes a Ph.D. from TU München (1996) and research fellowships at the International Computer Science Institute (Berkeley, 1997–1998). Education: Studied Computer Science and Mathematics at Johann Wolfgang Goethe-Universität Frankfurt (1984–1991), followed by research roles at TU München and other institutions. Professional roles include Research Assistant (1991–1996) and Research Associate (1996–2003). Research focuses on algorithmic bioinformatics, protein folding, data structures, and computational biology. Key contributions include work on RNA sequence-structure analysis, chemical shift correction tools (e.g., CheckShift), and efficient algorithms for range queries and suffix arrays. He has authored multiple influential books on algorithms and bioinformatics. Publications span over two decades, emphasizing algorithm design, bioinformatics applications, and parallel computing. Supervised PhD students include Benjamin Albrecht (2016), Luca Chiarabini (2009), and Simon W. Ginzinger (2008). Teaching includes courses on Algorithmic Bioinformatics, Algorithms on Sequences, and bioinformatics-related seminars. Administrative roles include serving as Vice Dean (2004–2007, 2013–2017, 2019–present) and Dean (2011–2013, 2017–2019). His work bridges theoretical computer science and applied bioinformatics, with a focus on interdisciplinary research.

Jan Pleugerمشاهده پروفایل

پژوهشگر

• Tectonics
• Sedimentary Systems
• Structural Geology
• +۵ مورد دیگر

Dr. Jan Pleuger is a Researcher at the Department of Earth Sciences, Freie Universität Berlin, specializing in tectonics and sedimentary systems within the Institute of Geological Sciences. His work focuses on the structural evolution of Alpine and peri-Alpine regions, particularly the Eastern Alps, Central Alps, and Rhodope Mountains, with emphasis on subduction dynamics, exhumation mechanisms, and crustal deformation processes. His research interests span tectonics, sedimentary systems, structural geology, and metamorphic processes, with specific expertise in: Alpine orogenic evolution Subduction-to-collision transitions High-pressure rock exhumation Shear zone kinematics Paleogeographic reconstructions Crustal-scale structural analysis Analysis of his 15 most recent publications (2023-2011) reveals consistent focus on Alpine geodynamics, particularly the Eastern Alps' transition zones and Rhodope metamorphic province. His work integrates structural field analysis, geochronology, and geophysical methods to address fundamental questions about slab tearing, crustal-scale folding, rift-related paleogeography, and the timing of metamorphic events. A recurring theme is the interplay between subduction, collision, and extensional processes in orogenic belts. Dr. Pleuger actively collaborates with major research initiatives including the AlpArray Working Group, SWATH-D project, and MB-4D Priority Programme (Mountain Building Processes in Four Dimensions). His research leverages Freie Universität Berlin's analytical facilities such as the Biomarker Lab, Apatite Fission Track dating equipment, and mineral separation laboratories to investigate petrophysical properties and deformation mechanisms in high-pressure rocks.

• Computational Mechanics
• Offshore Geotechnics
• Finite-Deformation Mechanics
• +۵ مورد دیگر

Professor William Coombs is a Professor in the Department of Engineering at Durham University. He holds a first-class MEng in Civil Engineering (Durham University, 2008) and a PhD in Engineering (Durham University, 2011). His core research focuses on computational mechanics, particularly material constitutive models, finite-deformation mechanics, non-linear finite elements, and the Material Point Method (MPM). He leads projects in offshore geotechnical engineering for renewable energy applications, including cable burial and braced excavations. His work emphasizes open-source tools like the AMPLE MPM code. Grants & Collaborations: EPSRC-funded project EP/W000970/1 (Offshore Cable Burial Depth Analysis) EPSRC project EP/X024849/1 (Braced Excavation Modeling) Leadership in the Aura CDT for Offshore Wind Energy, training 130+ PhD students. Research Interests: Elasto-plasticity and fracture mechanics Non-mesh-based methods (MPM, DG-FEM) Offshore geotechnics and wind energy infrastructure Ice fracture and calving processes Students & Supervision: Supervises research on MPM applications, offshore socio-ecological systems, glacier modeling, and composite material optimization. Accepts new PhD students in aligned fields. Labs & Teams: Leads the Computational Mechanics Research Node within Durham's Engineering Department, fostering collaborations on numerical methods and industrial applications.

David Hassellمشاهده پروفایل

پژوهشگر

• Climate Science
• Atmospheric Science
• Data Modeling
• +۳ مورد دیگر

David Hassell is a Senior Computational Scientist at the National Centre for Atmospheric Science (NCAS), based within the Department of Meteorology at the University of Reading. His research focuses on climate data standards, environmental modeling, and software development for climate science. He has contributed to projects such as the CF metadata conventions, CMIP6 data infrastructure, and satellite observation integration systems. His work spans geosciences and computer science, emphasizing interoperability and data integration. Key collaborations include the development of tools like cfdm and contributions to global climate data frameworks. Hassell's expertise bridges computational methods with atmospheric and climate research, supporting both observational and model-based studies. Contact: Office HP 115, Phone: 3237, Email: d.c.hassell@reading.ac.uk .

Siddha Pimputkarمشاهده پروفایل

دانشیار

• Electronic Materials
• Single Crystal Growth
• Thin Film Synthesis
• +۵ مورد دیگر

Siddha Pimputkar is an Associate Professor in the Department of Materials Science & Engineering at Lehigh University , part of the P.C. Rossin College of Engineering and Applied Science. His research focuses on synthesizing bulk and thin-film single-crystal materials, particularly nitrogen-containing semiconductors like cubic BN, InN, and AlGaN/InGaN for advanced optoelectronic and power device applications. He leads efforts in developing novel high-pressure chemical vapor deposition (HPS-CVD) systems and hybrid ammonothermal-hydrothermal methods for oxy-nitride growth. Notable achievements: P.C. Rossin Assistant Professor (2019), NSF CAREER Award recipient. Funding: Grants from NSF, Department of Homeland Security, NASA, and industry partnerships. Professional roles: Conference chair for IWBNS, guest editor for Journal of Crystal Growth , organizer of ammonothermal summer schools. Education : Postdoctoral Researcher, Materials Department, University of California, Santa Barbara Ph.D. in Materials, University of California, Santa Barbara B.S. in Mechanical Engineering, Illinois Institute of Technology Research Interests : Single-crystal growth of wide-bandgap semiconductors, thermodynamic modeling of ammonothermal systems, defect engineering in nitride materials, and equipment innovation for high-pressure synthesis. His work bridges materials science and engineering, aiming to advance semiconductor technologies for energy-efficient lighting, power electronics, and UV optoelectronics. Publications & Impact : Authored 19 papers, 1 book, and 2 book chapters. Holder of 3 patents with 25 pending applications. Invited speaker at 18 conferences, including presentations on ammonothermal growth advancements and GaN device prospects. Labs & Teams : Director of the MATS Laboratory at Lehigh, focusing on advanced materials synthesis and characterization. Collaborates with industry and academic partners to translate research into practical applications.

Sergio Rojasمشاهده پروفایل

مدرس ارشد

• Numerical Analysis
• Scientific Computing
• Mathematical Modeling
• +۴ مورد دیگر

Sergio Rojas is a Senior Lecturer in the Applied and Computational Mathematics section at Monash University's School of Mathematics. His expertise spans numerical analysis, scientific computing, and mathematical modeling, focusing on residual minimization-based methods for solving complex partial differential equations. He holds a PhD and MSc in Engineering Sciences from Pontificia Universidad Católica de Chile, a Master's in Mathematics from the University of Pavia, and a Bachelor's in Mathematics from Pontificia Universidad Católica de Valparaíso (PUCV). Education: PhD and MSc in Engineering Sciences, Pontificia Universidad Católica de Chile Master's in Mathematics, University of Pavia, Italy Bachelor's in Mathematics, PUCV, Chile Research Interests: Dr. Rojas develops advanced numerical methods including Finite Element, Discontinuous Galerkin, and Physics-Informed Neural Networks. His work emphasizes robust algorithms for complex PDEs, with applications in computational fluid dynamics, geophysics, and solid mechanics. Recent studies explore adaptive stabilization techniques and solver optimization for parallel architectures. Article Trends (2023-2025): Recent publications highlight robust neural network approaches for PDEs, adaptive finite element methods, and computational efficiency in parallel solvers. Key themes include residual minimization, stability analysis, and integration of machine learning in numerical simulations. Supervision: Accepts undergraduate, master’s, and PhD students in numerical analysis and scientific computing. Current PhD projects include variational physics-informed schemes and residual minimization methods. Labs/Teams: Collaborates on interdisciplinary projects involving computational mathematics and engineering applications, though specific lab affiliations are not detailed in the provided text.

• Computational Mechanics
• Fluid-Structure Interaction
• Solid Dynamics
• +۱۲ مورد دیگر

Professor Antonio Gil is a faculty member at Swansea University within the Faculty of Science and Engineering , specifically in the Department of Civil Engineering . He graduated magna cum laude from the University of Granada (Spain) in 1999 and earned his PhD in computational analysis of non-linear structural membranes at Swansea University in 2005, winning the UK Society for Computational Mechanics best PhD paper in 2004. Education: Ingeniero de Caminos, Canales y Puertos (University of Granada, 1999); MSc in Computational Mechanics; PhD in Computational Mechanics (Swansea University, 2005) Research Interests span Computational Mechanics , Fluid-Structure Interaction , Finite Strain Modeling , and Soft Robotics , with a focus on physics-informed machine learning and multi-physics simulations. His work addresses challenges in electromechanical systems , cardiac mechanics , and high-strain dynamics . Recent Publications highlight advancements in SPH algorithms , topology optimization , and hyperelastic metamodels , reflecting his leadership in numerical methods and material modeling . These contributions have been recognized by prestigious awards including the Philip Leverhulme Award (2011) and the Olgierd Cecil Zienkiewicz Award (2016) . Scientific Awards: UK Philip Leverhulme Award (2011) Olgierd Cecil Zienkiewicz Award (2016) 1st National Award (Spanish Ministry of Education, 2000) Grants include coordination of the Erasmus Mundus PhD Program and leadership in H2020 Marie Curie ETN projects with budgets exceeding €6M. His supervision covers PhD projects in soft robotics , computational fracture , and MRI scanner design .

• Computational Mechanics
• Finite Element Method
• Topology Optimization
• +۳ مورد دیگر

Oliver Wege serves as a Researcher and Doctoral Candidate at RWTH Aachen University's Chair for Computational Analysis of Technical Systems (CATS), specializing in advanced computational methods for engineering analysis and simulation. His academic qualifications include: Doctoral Candidate in Computational Analysis of Technical Systems at RWTH Aachen University (September 2024–present) Master of Science in Mechanical Engineering from Hochschule Düsseldorf (March 2022–April 2024) Bachelor of Engineering in Mechanical Engineering Product Development from Hochschule Düsseldorf (September 2018–February 2022) Research focuses on computational mechanics with emphasis on extending multi-level hp Finite Cell Methods for thermo-viscoplastic analysis and topology optimization of structural systems. His work integrates high-performance computing with engineering design to solve complex technical problems in material behavior and structural redesign, particularly advancing simulation efficiency for viscoplastic materials and truss-based component optimization. Key recognition includes: Deutschlandpreis 2024 for best Master's thesis in Mechanical Engineering (awarded November 2024 by Fachbereichstag Maschinenbau FBTM e.V.) As part of CATS at RWTH Aachen, he contributes to collaborative research within Germany's computational mechanics community, participating in initiatives like the German-Japanese Workshop on Computational Mechanics while advancing numerical methodologies for industrial applications.

Catherine Herfeldمشاهده پروفایل

استاد

• Philosophy of the Social Sciences
• History and Methodology of Economics
• Model Transfer in Science
• +۴ مورد دیگر

Catherine Herfeld is a Professor of Philosophy and History of Economics at Leibniz University Hannover’s Institute of Philosophy. She is also an external member of the Munich Center for Mathematical Philosophy (LMU Munich), affiliated with the Center for Higher Education and Science Studies (CHESS) at the University of Zurich, and a fellow at F.A. Hayek Program (Mercatus Center) and URPP 'Equality of Opportunity' (University of Zurich). Current ERC Starting Grant recipient for the MODEL TRANSFER project (2023–) Co-editor: Journal of the History of Economic Thought, Cambridge Elements series on History of Economics Board member: International Network of Economic Methodology, European Philosophy of Science Association Focus areas: Model transfer across domains, gender gap in philosophy, critique in social sciences Her career includes prior roles as Assistant Professor/Postdoctoral Fellow at MCMP, visiting scholar at Columbia and Stanford, and Guest Professor at the University of Vienna. She holds a PhD in history and philosophy of economics from Witten/Herdecke University, an MSc in philosophy of social sciences from LSE, and a diploma in economics from TU Berlin. Her research combines archival work, case studies, and quantitative-empirical methods to analyze scientific practices, particularly model transfers in economics. Recent publications include work on the utility of network analysis in HPS and historical exchanges of economic models with behavioral sciences. Scientific awards include the Karl-Heinz Hoffmann Prize (2021) . She serves on multiple editorial boards (e.g., Journal of Economic Methodology , Oeconomia ) and leads the MODEL TRANSFER project, which studies how interdisciplinary model transfers drive scientific progress. Collaborations involve sociologists, psychologists, and international institutions.

Maia Avtandilashviliمشاهده پروفایل

استادیار

• Radiological Protection
• Health Physics
• Biokinetics
• +۳ مورد دیگر

Maia Avtandilashvili serves as an Assistant Research Professor at the United States Transuranium and Uranium Registries (USTUR) within Washington State University's College of Pharmacy and Pharmaceutical Sciences, specializing in actinide biokinetics and radiation dose assessment for radiological protection. Education Diploma with Honors in Physics (Equivalent to MS degree), I. Javakhishvili Tbilisi State University (Tbilisi, Republic of Georgia) PhD in Applied Physics (Emphasis on Health Physics), Idaho State University (Pocatello, Idaho) Research Focus : Dr. Avtandilashvili's work centers on modeling actinide biokinetics (uranium, plutonium, americium) using unique human data from nuclear workers and USTUR tissue donors. Her research validates and improves International Commission on Radiological Protection (ICRP) models through advanced statistical analysis of bioassay and tissue data, directly impacting radiation risk projection and protection standards. She investigates decorporation mechanisms using chelating agents and develops methods for low-dose radiation epidemiology. Publication Trends : Her recent publications (2015-2024) demonstrate consistent focus on actinide biokinetics, with increasing emphasis on wound contamination modeling, skeletal deposition patterns, and decorporation therapy validation. Key themes include long-term retention studies in occupational exposures, refinement of respiratory tract models with scar-tissue compartments, and development of anatomical models for brain dosimetry. Scientific Recognition International Atomic Energy Agency Fellowship for analytical chemistry and environmental radioactivity training (1999) Health Physics Society Burton J. Moyer Fellowship - highest-ranking HPS fellowship (2007-2008) Collaborative Leadership : Dr. Avtandilashvili contributes to the Million Person Study on low-dose radiation effects and serves on NCRP committees (SC 6-12 for brain dosimetry, current SC 6-13 for radium models). As an active member of EURADOS Working Group 7, she co-develops WHO protocols for radiation dose assessment in wound contamination emergencies. Research Infrastructure : Her work is anchored at the unique USTUR facility, which maintains the world's only comprehensive human tissue registry for transuranium element research, enabling direct validation of biokinetic models through autopsy data from volunteer donors.

• Molecular Computer Simulations
• Force Field Development
• Coarse-Grained Modeling
• +۷ مورد دیگر

Alexander Lyubartsev is a Professor at the Department of Chemistry in Stockholm University, specializing in Molecular Computer Simulations . His research bridges fundamental physical chemistry with applied computational modeling, focusing on biomembranes, DNA-chromatin structures, inorganic surfaces, and multiscale method development. He teaches courses like Physical Chemistry (15 hp) and Chemical Modeling (7.5 hp) , mentoring students in computational approaches for molecular systems. Education: PhD in Molecular Biophysics (1988), St. Petersburg State University Academic Positions: 1988-1992: Researcher, St. Petersburg State University 1993-2001: Research Associate, Stockholm University 2001-2007: Associate Professor, Stockholm University 2007-present: Professor, Stockholm University His research interests center on developing computational methods for molecular systems. Key areas include: Force Field Development : Slipids for lipids, inorganic surfaces (TiO2, ZnO), zeolite interactions Coarse-Grained Modeling : DNA, nucleosome core particles, and multiscale approaches using inverse Monte Carlo Advanced Sampling : Expanded ensemble techniques, metadynamics for free energy calculations Software Development : MDynamix for molecular dynamics, MagiC for coarse-graining The articles reflect his focus on: Modeling G-quadruplex elasticity under variable ionic conditions (2017) Extending Slipids force field to polyunsaturated lipids (2016) Analyzing polyelectrolyte conformational transitions with Monte Carlo methods (2017) Investigating ion-DNA binding specificity through molecular dynamics (2016) Developing transferable potentials for gas adsorption in zeolites (2016) Studying TiO2 nanoparticle wetting mechanisms via ab initio simulations (2016) His methodological contributions include inverse Monte Carlo coarse-graining, systematic force field optimization, and multiscale approaches for chromatin components. The research directly impacts drug design, nanotoxicity modeling, and materials science applications.

Saulius Gudasمشاهده پروفایل

استاد

• Software Engineering
• Enterprise Modelling
• Information Systems Engineering
• +۵ مورد دیگر

Prof. Dr. (HP) Saulius Gudas is an Affiliated Professor in the Cybersocial Systems Engineering Group of the Institute of Data Science and Digital Technologies at Vilnius University . His office is located at Akademijos St. 4, room 603, Vilnius, Lithuania. Education & Background: While explicit degrees are not listed in the provided source, his long-standing professorship and extensive publication record spanning over a decade indicate advanced doctoral training and senior academic status. Research Interests: Prof. Gudas focuses on the intersection of software engineering, enterprise modelling, and knowledge-based systems . Core themes include: Causal knowledge modelling to enhance agile enterprise application development. Model-driven approaches for ensuring business-IT alignment. Deep knowledge-based evaluation and interoperability of enterprise applications. Quality modelling of web services and financial process mining. Publication Trends: Across the most recent works (2017–2024), a clear trajectory emerges from foundational enterprise modelling and interoperability assessment toward leveraging causal models and data analytics to improve agile development processes, service quality, and financial anomaly detection. Doctoral Supervision & Training: Prof. Gudas has successfully supervised the following PhD projects: Andrius Valatavičius – “Assessment of application program interoperability using autonomous computing technologies” (defended 2019). Mindaugas Jusis – “Research on synchronization methods for autonomous port loading processes” (2016–2020). Karolis Noreika – “Evaluation of the application development process using an improved Agile project management method” (2019–2023). Laboratory & Team Involvement: As a senior member of the Cybersocial Systems Engineering Group, he contributes to interdisciplinary projects that integrate software engineering methodologies with socio-technical system analysis within the larger Institute of Data Science and Digital Technologies.