جستجوی استاد راهنمای دانشگاهی

Caglar Oskay is an Associate Professor in the Department of Civil and Environmental Engineering at Vanderbilt University, where he has held academic positions since 2006. He specializes in multiscale computational mechanics, materials modeling, and failure analysis of heterogeneous materials. His research integrates advanced numerical methods such as the Extended Finite Element Method (XFEM), reduced-order homogenization, and variational multiscale enrichment to study composite materials, viscoelastic systems, and polycrystalline structures under extreme conditions. Dr. Oskay has been recognized with awards including the Chancellor Faculty Fellow (2016–2018) and ASCE ExCEEd Fellow (2011). Education: PhD (Civil Engineering, Rensselaer Polytechnic Institute, 2003), M.S. (Civil Engineering, Rensselaer Polytechnic Institute, 2000), M.S. (Applied Mathematics, Rensselaer Polytechnic Institute, 2000), B.S. (Civil Engineering, Middle East Technical University, 1998). Research focuses on predictive computational models for material behavior under mechanical, thermal, and chemical loading. Key areas include fatigue life prediction, damage accumulation in composites, and coupled transport-deformation phenomena. Recent work addresses multiscale modeling of nickel-based superalloys, polyurea-coated composites, and energetic materials under dynamic loading. His contributions span 100+ peer-reviewed publications, including seminal studies in International Journal for Multiscale Computational Engineering and Acta Materialia . His articles emphasize multiscale frameworks for heterogeneous materials, with trends in reduced-order methods, uncertainty quantification, and interdisciplinary applications (e.g., biology, energy systems). Awards highlight his educational and technical leadership. Advising and grants include collaborative projects on composite durability and energetic material simulation. Dr. Oskay leads the Multiscale Computational Mechanics Lab (MCML), advancing computational tools for engineering materials research.

• Multiscale Computational Engineering
• Materials Modeling
• Composite Materials
• +۸ مورد دیگر

Professor Jacek Banasiak holds a prestigious DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria, Department of Mathematics and Applied Mathematics. He also maintains strong academic ties with Lodz University of Technology in Poland where he serves as a research professor in the Department of Mathematical Modeling. His career spans several decades with extensive contributions to mathematical modeling, particularly in population dynamics, fragmentation-coagulation processes, and epidemiological modeling. Professor Banasiak's research interests center on mathematical modeling of biological and physical processes, with particular expertise in singular perturbation theory, semigroup theory, and transport equations on networks. His work bridges theoretical mathematics with practical applications in epidemiology, ecology, and population biology. He has developed sophisticated mathematical frameworks for understanding fragmentation-coagulation phenomena, malaria transmission dynamics, and savanna ecosystem modeling. His publication record shows a consistent trajectory of high-impact research, with recent work focusing on climate-based malaria models, multiscale epidemiological systems, and mathematical analysis of growth-fragmentation equations. His publications appear in top-tier journals across mathematical analysis, epidemiology, and mathematical biology fields, demonstrating the interdisciplinary nature of his work. DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering Author of numerous influential publications spanning from 1984 to 2025 Editor of special issues and author of several books including 'Introduction to Mathematical Methods in Population Theory' (2025) Professor Banasiak has supervised over 15 PhD students, many of whom have gone on to successful academic careers. His mentoring spans topics including fragmentation-coagulation with transport effects, telegraph systems on networks, and mathematical modeling of malaria transmission. His research has attracted significant funding, particularly through his SARChI Chair position which supports advanced mathematical research in biosciences and bioengineering.

• Mathematical Modeling
• Population Dynamics
• Fragmentation-Coagulation Processes
• +۵ مورد دیگر

Somnath Ghosh is the Michael G. Callas Chair Professor at Johns Hopkins University, holding joint appointments in the Departments of Civil & Systems Engineering, Mechanical Engineering, and Materials Science & Engineering. He directs the Computational Mechanics Research Laboratory (CMRL) and founded the Center for Integrated Structure-Materials Modeling and Simulations (CISMMS). His research focuses on multiscale computational mechanics, materials science, and integrated computational materials engineering (ICME). Key areas include additive manufacturing, fatigue and fracture mechanics, machine learning, and uncertainty quantification. Education includes a B.Tech. from IIT Kharagpur, M.S. from Cornell University, and Ph.D. from the University of Michigan. Ghosh has led major initiatives like NASA’s Space Technology Research Institute for Additive Manufacturing (IMQCAM) and the Air Force-funded Center of Excellence in Integrated Materials Modeling (CEIMM). He has authored over 300 peer-reviewed publications, three books, and is a Fellow of multiple societies, including the AAAS, ASME, and TMS. Award highlights include the Theodore von Karman Medal (2025), J.N. Reddy Medal (2024), and Nathan M. Newmark Medal (2013). His work bridges theory and industry applications in aerospace, automotive, and defense sectors. Labs under his leadership (CMRL and CISMMS) develop digital twins and advanced modeling tools for materials qualification and design.

• Computational Mechanics
• Multiscale Modeling
• Integrated Computational Materials Engineering (ICME)
• +۶ مورد دیگر

Prof. Tadeusz Andruniów serves as a full Professor at the Institute of Advanced Materials within the Faculty of Chemistry at Wrocław University of Science and Technology. His research program integrates quantum chemical methodologies with photobiological systems, focusing on light-induced processes in biological chromophores. With continuous publication output from 2004 to 2025, he maintains an active research trajectory evidenced by contributions to high-impact journals including the Journal of the American Chemical Society and Proceedings of the National Academy of Sciences. His core research interests encompass: Quantum Chemistry of Biological Systems Photoisomerization Dynamics in Rhodopsin Resonance Raman Spectroscopy Two-Photon Absorption Phenomena Protein-Chromophore Interactions Computational Photobiology These interests drive his investigations into excited-state behavior, energy storage mechanisms, and spectroscopic signatures of chromophores in complex biological environments. Analysis of his 2020-2025 publications reveals three dominant research thrusts: (1) Precision modeling of two-photon absorption in rhodopsin and fluorescent protein chromophores using high-level coupled-cluster methods; (2) Elucidation of protein environmental effects on spectroscopic properties through QM/MM simulations; and (3) Extension of computational frameworks to abiotic systems like sequence-defined polyurethanes. His work consistently demonstrates methodological innovation in handling excited-state dynamics and nonlinear optical properties. While specific grant details and student supervision records are not documented in available sources, his collaborative publication pattern involving international co-authors indicates active research networking. His technical contributions to computational protocols for artifact removal in polarizable embedding calculations and quantum region optimization represent significant methodological advances for the field.

• Quantum Chemistry
• Computational Photochemistry
• Spectroscopy
• +۳ مورد دیگر

Jacob Fish holds the Rosalind and John J. Redfern Jr. Chair in Engineering at Columbia University's Department of Civil Engineering and Engineering Mechanics within the Fu Foundation School of Engineering and Applied Science. His research program focuses on computational mechanics and multiscale modeling with applications across material science and structural engineering. His research interests center on developing advanced computational frameworks for multiscale analysis of heterogeneous materials. Key areas include computational continua, atomistic-to-continuum coupling, fracture mechanics of composites, and thermomechanical modeling of advanced materials. His work bridges theoretical developments with practical engineering applications through reduced-order modeling and data-physics integration. His recent publications demonstrate strong trends in multiscale computational engineering, particularly in homogenization techniques, phase-field fracture modeling, and data-driven approaches for material behavior prediction. The research spans from atomistic simulations to structural-scale analysis with emphasis on computational efficiency and physical fidelity. Fellow, U.S. Association for Computational Mechanics (USACM) Computational Structural Mechanics Award, 2005 Fellow, International Association for Computational Mechanics (IACM), 2002 National Science Foundation Presidential Young Investigator Award, 1992 Walter P. Murphy Fellowship, Northwestern University, 1986 Fish serves as Editor-in-Chief of the International Journal for Multiscale Computational Engineering and has secured numerous research grants focused on multiscale modeling of advanced materials. His collaborative network spans multiple institutions and disciplines, particularly in computational mechanics and material science. His laboratory develops computational frameworks for multiscale analysis with applications in structural engineering, material science, and biomechanics, focusing on efficient algorithms for complex material behavior prediction.

• Computational Mechanics
• Multiscale Modeling
• Structural Engineering
• +۳ مورد دیگر

Professor Tomasz Puzyn is affiliated with the University of Gdańsk , where he serves as Head of the Laboratory of Environmental Chemoinformatics within the Faculty of Chemistry and the Department of Environmental Chemistry and Radiochemistry. His research focuses on advancing predictive models for nanomaterial and chemical safety through chemoinformatics, machine learning, and Adverse Outcome Pathways (AOPs). Research Interests: Environmental Chemoinformatics Nanotoxicology QSAR/QSPR Modeling Machine Learning in Risk Assessment Endocrine Disruption Mechanisms Safe-by-Design Nanomaterials Recent Work Trends: Development of in silico New Approach Methods (NAMs) for nanomaterial genotoxicity and endocrine disruption Integration of transcriptomic data with AOPs for predictive toxicology Adsorption mechanisms of PFAS using modified biochar and metal oxides Quantum chemistry applications for environmental fate prediction Machine learning frameworks for drug delivery nanocarriers Harmonization of data reporting for regulatory acceptance Laboratory: Laboratory of Environmental Chemoinformatics Collaborative projects: CompSafeNano, HBM4EU

• Environmental Chemoinformatics
• Nanotoxicology
• Predictive Modeling
• +۵ مورد دیگر

Thomas J.R. Hughes is the Peter O’Donnell Jr. Chair in Computational and Applied Mathematics and a Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He is affiliated with the Oden Institute for Computational Engineering and Sciences (Oden Institute), where he leads the Computational Mechanics Group. His research focuses on computational mechanics, isogeometric analysis, and biomedical modeling. Education: B.E. and M.E. in Mechanical Engineering from Pratt Institute; M.S. in Mathematics and Ph.D. in Engineering Science from the University of California, Berkeley. Research Interests include Isogeometric Analysis (integrating CAD and FEA), stabilized numerical methods for fluid flows, patient-specific biomedical simulations, and phase-field modeling. His work spans applications in cardiovascular systems, tumor growth, and geophysical flows. Hughes has authored over 150 journal articles, with recent contributions on isogeometric analysis, fluid-structure interaction, and computational geosciences. Notable awards include the von Neumann Medal (USACM), Gauss-Newton Medal (IACM), and Worcester Reed Warner Medal (ASME). He is a member of the National Academy of Engineering. His group advises students and postdocs in computational methods and collaborates with centers like the Oden Institute’s Computational Visualization Center. Current projects include isogeometric analysis, nanoparticle drug delivery, and ice sheet modeling.

• Isogeometric Analysis
• Computational Mechanics
• Finite Element Analysis
• +۷ مورد دیگر

Marco Giometto is an Assistant Professor of Civil Engineering and Engineering Mechanics at Columbia University, affiliated with the Columbia School of Engineering and Applied Science. His research focuses on fluid dynamics and turbulence, particularly in environmental flows, atmospheric boundary layers, and wind engineering. He employs supercomputing and physics-data-driven methods to advance understanding of natural systems and urban infrastructure resilience. Education: PhD in Civil Engineering (Braunschweig TU University and University of Florence, 2014); PhD in Mechanical Engineering (École Polytechnique Fédérale de Lausanne, 2016, EDME Award recipient). Experience: Postdoctoral roles at UBC and the Center for Turbulence Research (Stanford/NASA Ames); Amazon Visiting Academic (2020–present). Research Interests: Environmental Engineering, Wind Engineering, Smart Cities, Sustainable Infrastructure, and Computational Mechanics. His work bridges fundamental fluid dynamics with applied challenges in urban sustainability and climate resilience. Awards/Grants: NSF CAREER Award (2024), NSF Physical & Dynamic Meteorology Program grant (2024), Army Research Office DURIP Award (2023). Collaborations include Amazon Prime Air and field campaigns like CoURAGE. Lab & Outreach: Leads the Environmental Flow Physics Laboratory, advancing computational tools and field experiments. Teaches at Columbia and mentors students like Gurpreet Hora (PhD Teaching Fellow).

• Environmental Engineering
• Wind Engineering
• Smart Cities
• +۴ مورد دیگر

Katarzyna Rycerz is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. She holds the academic rank of Lecturer as part of the assistant professors group, with her office located at D-17, ul. Kawiory 21, room II, 3.54. Her research spans quantum computing, hybrid quantum-classical algorithms, and distributed systems, with significant contributions to workflow scheduling and complex network optimization. Dr. Rycerz's primary research focuses on quantum optimization techniques, particularly quantum annealing and variational algorithms applied to combinatorial problems. Her work bridges theoretical quantum computing with practical high-performance computing challenges, including load rebalancing in HPC systems and community detection in complex networks. She has developed software tools like QHyper for hybrid quantum-classical optimization and explored quantum solutions for thermoelectric properties in graphene and quantum game theory paradoxes. Her 15 most recent publications (2019-2025) reveal a dominant trend toward quantum-classical hybrid methods, with 80% focused on quantum annealing applications for workflow scheduling, network analysis, and optimization problems. Key themes include D-Wave system implementations, quantum game theory extensions, and thermoelectric material simulations, demonstrating a consistent shift from earlier multiscale simulation work toward cutting-edge quantum computing applications. No scientific awards are documented in the available information. Details regarding student advising, research grants, laboratory affiliations, or collaborative teams are not provided in the source materials.

• Quantum Computing
• Hybrid Quantum-Classical Algorithms
• Workflow Scheduling
• +۳ مورد دیگر

Tamar Schlick is a Professor at New York University, affiliated with the Courant Institute of Mathematical Sciences and the Department of Chemistry. She holds roles as an Associate (Lead) Editor for the International Journal for Multiscale Computational Engineering and has contributed to numerous journals. Education: B.S. in Mathematics, Wayne State University (1982) M.S. and Ph.D. in Applied Mathematics, Courant Institute of Mathematical Sciences, NYU (1984 and 1987) Research Interests: Tamar Schlick focuses on biomolecular modeling, chromatin dynamics, RNA structure prediction, and computational methods for understanding biological systems. Her work integrates computational simulations with experimental data to study complex systems like DNA repair mechanisms, histone interactions, and RNA folding pathways. Her research bridges disciplines such as biophysics, biochemistry, and applied mathematics. Articles Trends: Her recent publications emphasize multiscale modeling in chromatin organization, RNA structural prediction using graph theory, and energy landscapes in biomolecular interactions. These studies highlight advancements in computational tools and their applications in understanding fundamental biological processes. Awards: Over 20 awards, including the John Simon Guggenheim Fellowship (2000-2001), American Physical Society Fellow (2005), and Aspen Health Forum Fellow (2007). Recognitions for contributions to computational chemistry, RNA science, and biomolecular modeling. Advising & Grants: While specific student advisees are not listed, her research groups collaborate on projects funded by NIH, NSF, and other agencies. She leads teams advancing computational frameworks like RAGTOP and CHSalign for RNA structure analysis. Labs/Teams: Active in NYU’s Courant Institute and NYU-ECNU Center for Computational Chemistry, focusing on interdisciplinary research in computational biophysics and molecular modeling.

• Computational Chemistry
• Structural Biology
• Biophysics
• +۳ مورد دیگر

Marek Muzyk serves as an Assistant Professor in the Faculty of Mathematics and Natural Sciences (School of Exact Sciences) at Cardinal Stefan Wyszyński University in Warsaw, specializing in computational materials science with emphasis on physical metallurgy of light metals and alloys. His research integrates advanced computational methods to investigate mechanical behavior and material properties. His core research domains include: Materials Science Computational Materials Science Physical Metallurgy Titanium and Aluminum Alloys Additive Manufacturing Processes Ab Initio Calculations Mechanical Properties Analysis Analysis of his publication trajectory from 2024 to 2012 reveals consistent focus on first-principles modeling of deformation mechanisms in hexagonal metals, particularly examining interstitial element effects in titanium alloys. His work bridges fundamental atomic-scale phenomena with practical applications in additive manufacturing (e.g., laser powder bed fusion optimization) and nuclear fusion materials development. Recent publications demonstrate growing emphasis on in situ strengthening techniques and computational alloy design, with strong methodological continuity in density functional theory applications across diverse material systems.

• Materials Science
• Computational Materials Science
• Physical Metallurgy
• +۵ مورد دیگر

Dr. Lyudmyla Kirichenko serves as a Research and Teaching Assistant Professor in the Insurance and Capital Markets Department at Lodz University of Technology, Poland. Her academic profile includes active research publication through 2025, with contact details listing room 167 and email lyudmyla.kirichenko@p.lodz.pl. She maintains collaborative research ties with institutions in Ukraine and international conferences. Her research spans Machine Learning, Time Series Analysis, and Cybersecurity with specialized focus on fractal dynamics and computational finance applications. She develops advanced methodologies including wavelet transforms, recurrence plots, and LSTM autoencoders for classifying complex time series data. Her work bridges theoretical computer science with practical implementations in intrusion detection systems, financial market analysis, and computer vision security applications. The departmental affiliation with Insurance and Capital Markets indicates applied research directions in e-commerce forecasting and risk modeling. Analysis of her 15 most recent publications (2022-2025) reveals dominant trends in machine learning classification of fractal time series, with increasing interdisciplinary applications. Her 2023-2025 work shows expansion into public health modeling (respiratory infections in conflict zones) and crisis response optimization, while maintaining core expertise in wavelet-based feature extraction and neural network approaches for time series problems. The publications demonstrate consistent methodological innovation across computer science, physics, and operations research domains. Scientific Awards No scientific awards were documented in the provided materials Advising and grant activities cannot be confirmed from the available information. The publication record indicates extensive collaboration with Ukrainian researchers including Tamara Radivilova and Sergiy Yakovlev, but no student supervision or funding details are specified. Her research appears supported through institutional affiliations and conference participations. Laboratory resources or dedicated research teams are not explicitly described, though her methodology-focused publications suggest computational laboratory work involving machine learning frameworks and signal processing tools. The departmental context implies integration with financial data analysis infrastructure.

• Machine Learning
• Time Series Analysis
• Data Mining
• +۴ مورد دیگر

MSc Eng. Małgorzata Szafraniec is affiliated with the Department of General Construction at Lublin University of Technology's Faculty of Civil Engineering and Architecture. She specializes in nanocellulose applications, hydrophobization of construction materials, and sustainable material engineering. Her research focuses on improving material durability and eco-friendly methods in construction. Education: MSc in Mathematics (2009-2011, Maria Curie-Sklodowska University) BEng in Civil Engineering (2013, Lublin University of Technology) MSc Eng. in Civil Engineering (2014, Lublin University of Technology) Her research interests revolve around nanocellulose production from waste materials, hydrophobization techniques for concrete surfaces, and sustainable construction practices. She actively explores recycled materials in cement composites and environmental impacts of building materials. Key achievements include a gold medal at INTARG 2023 for nanocellulose innovation and multiple academic awards. She is a member of professional bodies like ASCE and IAAM. Teaching includes full-time courses in Building Physics and Advanced Construction Techniques. Her work bridges cutting-edge material science with practical construction challenges.

• Nanocellulose Applications in Construction Materials
• Hydrophobization Techniques for Building Materials
• Recycled Materials in Cement Composites
• +۳ مورد دیگر

Kaja Czarnecka (M.A.) is a Researcher at the Climate Research Department of the Institute of Geography and Spatial Organization, Polish Academy of Sciences , where she has worked since 2018. Her career includes a research internship (2018–2020) and a Junior Documentary Filmmaker role in 2020. Education : B.A. in Geography and Regional Studies from University of Warsaw (2015–2018) M.A. in Geography and Regional Studies from University of Warsaw (2018–2020) Participation in Fukuoka Women's University's World of Japanese Contemporary Culture Program (2019) Research Focus : Urban climate systems, including heat islands and light pollution Bioclimatology and biometeorology with emphasis on photoreceptor stimulation effects on sleep Green infrastructure impacts on thermal conditions in cities Climate change adaptation through peatland hydrology and urban parks Recent Article Trends (2023–2025): Investigations into urban temperature extremes and surface-air interactions Development of climate-sensitive spatial indicators for urban planning Analysis of greenery-based thermal stress mitigation in cities Multi-scale peatland climate studies using satellite data Assessment of water quality impacts in urban catchments Scientific Recognition : Recipient of JASSO Scholarship (2019) for Japanese studies Key Projects : MIRECLIM (peatland climate impacts) CLIMPARK (urban park climate networks) Healing Climate Properties of Polish health resorts River Thermal Regulation studies Sustainable Green Space assessments

• Water and atmosphere pollution
• Light pollution
• Photoreceptor stimulation and sleep quality
• +۴ مورد دیگر

Professor Jolanta Prywer is a distinguished academic at the University of Lodz, leading the Biogenic Crystals Research Group. Her work bridges material science, biomineralization, and medical mineralogy, focusing on infectious urinary stones and related crystallization processes. Specializes in biogenic crystal formation Investigates pathological mineralization in urinary tracts Contributes to understanding crystal morphology evolution and nucleation mechanisms Active in interdisciplinary research connecting physics, chemistry, and medical science Her research explores various aspects of crystal growth including: Physical and chemical properties of hydroxyapatite and carbonate apatite in infection contexts Role of metal ions like zinc in struvite formation Electromechanical properties of biogenic crystals Inhibition strategies using compounds like trisodium citrate and tetrasodium pyrophosphate Temperature effects on crystal structures Impact of nanosilver particles on crystallization dynamics

• Biomineralization of plants
• Infectious urinary stones
• Crystal morphology evolution
• +۳ مورد دیگر