جست‌وجوی استاد و پژوهشگر

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

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.

Jacek Jachymskiمشاهده پروفایل

استاد

• Fixed Point Theory
• Metric Spaces
• Functional Analysis
• +۳ مورد دیگر

Prof. Jacek Jachymski is a research and teaching professor at the Department of Applied Contemporary Mathematical Analysis, Lodz University of Technology. His work spans fixed point theory, metric spaces, and nonlinear analysis, with significant contributions to metrization theorems and topological properties of semimetric spaces. Focus on metric fixed point theory , including Banach contraction principle extensions and Cantor intersection theorems. Pioneering research in quasimetric and semimetric spaces, with applications to optimization and function theory. Collaborations with mathematicians like Filip Turoboś and Katarzyna Chrząszcz on Lipschitzian mappings and metric preservation. Recent publications (2024–2018) emphasize metric compactness , remetrization techniques, and fixed point stability. His work bridges abstract mathematics with practical applications in differential equations and iterative function systems. PhD students include Filip Turoboś, Katarzyna Chrząszcz, Jakub Klima, Filip Strobin, Gertruda Gwóźdź-Łukawska, and Izabela Jóźwik, all advancing fixed point theory in generalized metric structures.

• Formal methods in computer science
• Safety engineering
• Computational intelligence
• +۳ مورد دیگر

Prof. Jan Magott holds a research position at the Faculty of Information and Communication Technology of Wrocław University of Science and Technology , specifically within the Department of Computer Engineering . His work bridges formal methods in computer science with safety engineering applications. Focus on safety-critical systems across railway and aviation domains Expertise in computational intelligence and dependability analysis Research interests span: Formal verification of time-dependent systems Fault tree modeling with temporal constraints Functional Resonance Analysis Method (FRAM) applications Hospital safety and medical diagnostics optimization Urban transport reliability analysis Human factors in safety systems Recent publications show increasing focus on: Railway safety protocols and traffic management (2023) Medical error prevention in primary care (2021-2020) Formal timing analysis in software engineering (2016) Aviation incident modeling with fuzzy logic (2016) Key methodological contributions include: Time-dependent fault tree analysis Execution time modeling for real-time systems Fuzzy probability applications in safety engineering FRAM framework for complex system analysis

• Probability Theory
• Quantum Stochastic Processes
• Orthogonal Polynomials
• +۷ مورد دیگر

Wojciech Matysiak is an Assistant Professor in the Faculty of Mathematics and Information Science at Warsaw University of Technology. His research lies at the intersection of probability theory, quantum stochastic processes, and algebraic structures in mathematics. Institution: Warsaw University of Technology School: Faculty of Mathematics and Information Science Position: Assistant Professor of Mathematics Email: matysiak@mini.pw.edu.pl Office: 439, Mathematics Building, ul. Koszykowa 75, Warsaw, Poland His primary research interests include Probability Theory , Quantum Stochastic Processes , Orthogonal Polynomials , and Noncommutative Probability . He investigates structures such as quadratic harnesses, quantum Bessel processes, and random fields with linear regressions, often using operator-theoretic and algebraic methods. The analysis of his recent publications reveals a strong focus on the interplay between algebra and probability, particularly through q-commutation relations, martingale polynomials, and generalized stochastic processes. His work spans pure mathematics with applications in mathematical physics and has extended into interdisciplinary domains such as soil science and oncology. Wojciech Matysiak has published in prestigious journals including Transactions of the American Mathematical Society , Stochastic Processes and their Applications , and Journal of Theoretical Probability . His recent work continues to explore deep connections between algebraic identities and probabilistic models. He collaborates with researchers such as Włodzimierz Bryc, Jacek Wesołowski, and Marcin Świeca. He is involved in the Probability Seminar at his institution and contributes to teaching materials for mathematics and engineering students. No scientific awards or grants are mentioned in the provided texts. He maintains a research webpage and is actively publishing, indicating ongoing scholarly activity in mathematical probability and its applications.

• Nuclear Engineering
• Reactor Safety Analysis
• Computational Methods in Nuclear Systems
• +۳ مورد دیگر

Dr. Piotr Darnowski is a researcher at the Institute of Heat Engineering (IHE), Warsaw University of Technology. His work focuses on nuclear reactor safety analysis, computational modeling, and probabilistic risk assessment. His research spans: Advanced reactor safety analysis methodologies Gen-III/IV reactor thermal-hydraulics Artificial intelligence applications in nuclear systems Fast reactor technology and fuel cycle analysis Uncertainty quantification in severe accident codes Recent publications demonstrate expertise in: AP1000/MELCOR coupled simulations Cobalt-60 activation studies PWR pressurized thermal shock analysis Gen-III+ reactor safety improvements Artificial neural network reactor modeling

• Machine Learning
• Pattern Recognition
• Artificial Intelligence
• +۳ مورد دیگر

Paweł Trajdos is a researcher at the Department of Systems and Computer Networks within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His work focuses on machine learning, multi-label classification, and ensemble systems, with applications in biomedical engineering and pattern recognition. Over the years 2015–2018, he co-authored significant publications on classifier chains, fuzzy confusion matrices, and hybrid learning models. Research Interests: Multi-label learning frameworks Fuzzy logic in classifier evaluation Ensemble system design Bioprosthetic control algorithms Dynamic data processing Decision-theoretic optimization

• Quantum Computing
• Hybrid Quantum-Classical Algorithms
• Workflow Scheduling
• +۳ 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.

• Geotechnical Engineering
• Probabilistic Methods in Engineering
• Soil Spatial Variability
• +۷ مورد دیگر

Marcin Chwała is a researcher at the Faculty of Civil Engineering, Wrocław University of Science and Technology, affiliated with the Department of Geotechnology, Hydro Technology, and Underground and Hydro Engineering. He holds a DSc, PhD, and Eng, and is actively engaged in teaching and research in geotechnical engineering and planetary civil engineering. His research interests include probabilistic methods in geotechnical engineering, soil spatial variability, foundation bearing capacity, slope stability, and the structural stability of lunar lava tubes. He bridges traditional civil engineering with cutting-edge planetary science, focusing on the potential of lunar caves as shelters for future missions. The recent articles (2023–2024) reflect a strong trend toward geotechnical risk, stochastic modeling, and planetary infrastructure, with publications in high-impact journals such as Icarus , Earth and Planetary Science Letters , and Reliability Engineering & System Safety . The work emphasizes numerical analysis, probabilistic assessment, and optimization in both terrestrial and extraterrestrial contexts. Teaching Excellence Award at Wrocław University of Science and Technology Member of Academia Iuvenum (2023–2025) Recipient of National Science Center, Poland funding (SONATA 19 program) Editorial Board Member, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering Member of ISSMGE’s TC304 (Engineering Practice of Risk Assessment and Management) Marcin Chwała has co-supervised PhD student Daniel Teshager to successful defense. He leads the PROMISE project (funded by NCN) and collaborates with international researchers from the University of Padua and University of Ferrara. He also leads a university-funded research team analyzing rock samples from lava tubes. His work has received significant media attention and public engagement, including radio interviews and public lectures on civil engineering on the Moon. He is actively involved in laboratory analysis, fieldwork planning, and international conferences such as LPSC 2024 and LPSC 2025, and promotes student involvement through scholarship opportunities in planetary geotechnics.

Mateusz Krukowskiمشاهده پروفایل

استادیار

• Mathematical Analysis
• Applied Mathematics
• Dynamical Systems
• +۳ مورد دیگر

Dr. Mateusz Krukowski is an Assistant Professor in the Department of Mathematical Modeling at Lodz University of Technology. His research spans functional analysis, harmonic analysis, and applied mathematics, with a focus on metric spaces, integral transforms, and forensic engineering applications. Email: mateusz.krukowski@p.lodz.pl Research Affiliation: Lodz University of Technology Dr. Krukowski's research interests include: Characterization of integral transforms (Fourier, Laplace, Gelfand) Compactness in function spaces (Lp-spaces, uniform spaces) Applications to dynamical systems and differential equations Forensic science modeling for vehicle crash analysis His recent publications (2018–2025) demonstrate expertise in functional analysis, mathematical physics, and computational forensic methods. Articles explore topics like Möbius transformations, CAR-T cell therapy dynamics, and thermodynamic process modeling. Collaborative work with Adam Mrowicki and Filip Turoboś highlights interdisciplinary applications. Dr. Krukowski supervised Filip Turoboś's PhD thesis on semimetric spaces and their applications. His methodological innovations include genetic algorithms, tensor products, and artificial neural networks for forensic velocity determination.

Kazimierz Chorośمشاهده پروفایل

استاد

• digital image and video processing
• content-based video indexing and retrieval
• computer animations
• +۴ مورد دیگر

Kazimierz Choroś is a Professor at the Department of Applied Informatics , Faculty of Information and Communication Technology , Wrocław University of Science and Technology. He held leadership roles as Deputy Director of the Institute of Informatics (2008-2014) and Deputy Dean of the Faculty of Computer Science and Management (2016-2020). Research interests: digital image/video processing, content-based video indexing, computer animations, multimedia systems, web systems analysis, and information systems design. Organizer and Chair of the International Conference on Multimedia & Network Information Systems (MISSI 2022) Chair of Special Session WebSys 2020 at ICCCI 2020 Other activities: Since 1993, member and former President (1993-2002) of the SAGE Association (Polish Graduates of French Grandes Ecoles). Since 1982, member of the Polish Numismatic Society, author of dozens of numismatic publications, and Editor-in-Chief of Wrocławskie Zapiski Numizmatyczne (2003-present). Contact: Email: kazimierz.choros@pwr.edu.pl Phone: +48-71.320.3799 Office: Building D2, Room 201/1 Address: Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland

• Reliability Engineering
• Mechanical Systems Maintenance
• Safety Integrity Level (SIL) Assessment
• +۳ مورد دیگر

Robert Pilch is a Professor at the Department of Machine Design and Operation within the Faculty of Mechanical Engineering and Robotics at AGH University of Science and Technology in Kraków. His research focuses on reliability engineering, preventive maintenance strategies, and safety integrity level (SIL) assessment of complex technical systems. Research Interests: Reliability assessment of technical systems Preventive maintenance optimization Adaptive maintenance strategies Network systems reliability Safety integrity level (SIL) modeling Simulation-based failure prediction Scientific Awards: No specific awards mentioned in provided materials. Contact: pilch@agh.edu.pl

• Probability
• Stochastic Processes
• Mathematical Analysis
• +۱ مورد دیگر

Zbigniew Szkutnik is a Professor at the Department of Mathematical Analysis and Applications within the Faculty of Applied Mathematics at AGH University of Science and Technology, Krakow, Poland. He serves as Head of the Probabilistic Methods Team and holds membership in the Mathematics Discipline Council and College of the Faculty of Applied Mathematics. His research centers on Probability, Stochastic Processes, Mathematical Analysis, and Applied Mathematics, with specialized focus on probabilistic methodologies derived from his leadership role in the Probabilistic Methods Team. Scientific Awards: No scientific awards mentioned in the provided information. Advising and Grants: No details regarding student advising, research grants, or funded projects were provided. Labs and Teams: Leads the Probabilistic Methods Team, conducting research in probability theory and its interdisciplinary applications across scientific and engineering domains.

Ewa Deelmanمشاهده پروفایل

استاد پژوهشی

• Scientific Workflow Management
• Distributed Systems
• Resource Provisioning
• +۵ مورد دیگر

Ewa Deelman is a Research Professor in the Department of Computer Science at the University of Southern California (USC) and a Principal Scientist at the USC Information Sciences Institute. She also directs Science Automation Technologies, a research group focused on automating scientific processes through advanced workflow management solutions. Her work is foundational in enabling complex scientific computations across distributed computing environments. Deelman's research centers on scientific workflow automation, including resource provisioning, data management, and job scheduling in distributed systems. She pioneered workflow planning for distributed computations and leads the development of the Pegasus Workflow Management System. Current interests extend to anomaly detection using machine learning, quantum-classical hybrid workflows, and edge-to-cloud continuum integration. Her group's work bridges theoretical advances with practical tools for domain sciences like seismology and molecular dynamics. Analysis of her recent publications reveals a strong emphasis on enhancing workflow robustness through machine learning and emerging technologies. Key trends include LLM-based scheduling optimization, pandemic-driven resilience studies, and quantum workflow integration. Her work increasingly addresses cross-cutting challenges in data-intensive science, particularly in managing computational workflows across heterogeneous infrastructures from edge devices to cloud platforms. As Director of Science Automation Technologies, Deelman oversees a team that has made Pegasus a cornerstone tool in scientific computing. The system handles complex workflow orchestration for projects like CyberShake (seismic hazard analysis) and molecular dynamics simulations, automating data movement, execution, and error recovery across campus clusters, supercomputers, and cloud resources.

• Fuzzy Logic Control Systems
• UAV Stabilization
• Nonlinear Control Objects
• +۲ مورد دیگر

Michał Lower is a Lecturer at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His office is located in Building C-3, Room 222 (ul. Janiszewskiego 11/17), and he holds regular consultation hours for students. He can be contacted via email at michal.lower@pwr.edu.pl or phone at +48 71 320 2969. His research focuses on: Design of inference and control systems using fuzzy logic Stabilization techniques for nonlinear control objects UAV control and stabilization systems Industrial automation and control systems Analysis of air traffic incidents using probabilistic methods Recent publications demonstrate a consistent focus on applying fuzzy logic and neural networks to control systems, with applications ranging from UAV navigation and inverted pendulum stabilization to urban transportation planning. His work frequently intersects robotics, aviation safety, and intelligent system design.

Piotr Szwedمشاهده پروفایل

مدرس

• Data Mining
• Software Engineering
• Computational Intelligence
• +۵ مورد دیگر

Dr inż. Piotr Szwed is a Lecturer in the Department of Applied Computer Science at AGH University of Science and Technology, Kraków. He is affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering (EAIiIB), where he teaches courses ranging from imperative and object-oriented programming to data exploration and computational intelligence. Research Interests: Data mining and knowledge discovery Fuzzy cognitive maps and their applications in transportation, risk assessment, and security Software engineering methodologies, including agile and ontology-driven development Intelligent transportation systems (ITS) and real-time traffic management Natural language processing for Polish texts, stylometry, and authorship attribution Ontology engineering, enterprise architecture verification, and model checking His work often bridges theoretical computer science with practical applications in urban mobility, safety systems, and enterprise software. Scientific Contributions: Pioneered the integration of fuzzy cognitive maps with evolutionary algorithms to predict traffic flows. Developed rule-based and machine-learning approaches to determine speed limits from geospatial data. Contributed to the INSIGMA intelligent transportation system aimed at enhancing urban mobility in Polish cities. Created formal verification techniques for ArchiMate business processes using NuSMV model checking. Advanced stylometric analysis for Polish texts, introducing part-of-speech features for authorship attribution. Teaching & Academic Service: Regularly teaches Programming (C, C++, Java), Software Engineering, Data Exploration, and Computational Intelligence. Supervises engineering and master theses in applied computer science. Maintains a public wiki with course materials, lab exercises, and consultation schedules for students. Utilizes Git-based repositories to streamline code submission and continuous assessment in laboratory classes. Laboratory & Facilities: He is located in building C-2, room 403, at AGH’s main campus, al. Mickiewicza 30, 30-059 Kraków. The lab supports courses that emphasize practical software development, version control, and collaborative project work.