جستجوی استاد راهنمای دانشگاهی

• Fluid Mechanics
• Numerical Modeling
• Porous Media
• +۶ مورد دیگر

Prof. Wojciech Sobieski is a faculty member at the Department of Mechanics and Fundamentals of Machine Design within the Faculty of Technical Sciences at the University of Warmia and Mazury in Olsztyn . His research focuses on fluid mechanics, numerical modeling, and porous media analysis, with applications in environmental engineering, hydraulic systems, and 3D printing. Academic Rank: Professor Scientific Discipline: Mechanical Engineering Key Research Areas: Tortuosity Analysis, Multiphase Flow, DEM Simulations His recent publications highlight advancements in computational methods for granular porous media, fluid flow modeling, and thermodynamic applications. Notable trends include the use of the Waterfall Algorithm for geometric analysis and sensitivity studies of numerical models like the Eulerian multiphase approach. He has contributed to understanding Forchheimer's laws and cavitation phenomena in hydraulic systems. Prof. Sobieski oversees the PathFinder Project , a research initiative focused on numerical modeling of porous media. His laboratory maintains infrastructure for multiphase flow simulations and particle-scale modeling. He has supervised 2 doctoral students to completion but currently has no active advisees.

Jakub Nowosadمشاهده پروفایل

پژوهشگر

• Spatial Association
• Information Theory
• Landscape Metrics
• +۷ مورد دیگر

Jakub Nowosad is a researcher affiliated with Adam Mickiewicz University in Poznań and currently holding a prestigious Marie Skłodowska-Curie Actions Postdoctoral Fellowship at the University of Münster's Remote Sensing and Spatial Modeling group (August 2024-August 2026). His work bridges geography, computer science, and environmental science with a focus on spatial data analysis and machine learning applications. Nowosad's research interests center on spatial association methods, landscape metrics, information theory applications in geography, and spatial machine learning techniques. He has made significant contributions to developing and implementing computational methods for analyzing spatial patterns, particularly through R programming packages that address spatial autocorrelation challenges in machine learning. His work spans environmental monitoring, landscape ecology, and geospatial analysis with practical applications in understanding climate change impacts, forest fragmentation, and permafrost degradation. His publication record demonstrates a strong focus on methodological development in spatial data science, with numerous recent publications on spatial machine learning frameworks, computational landscape ecology, and specialized software tools. Nowosad's work shows a clear trajectory toward integrating advanced machine learning techniques with traditional spatial analysis methods to overcome limitations in spatial prediction and pattern recognition. Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA-PF) for the PRISM project (PReservation and RecognItion of Spatial patterns using Machine learning) Nowosad actively contributes to the open-source geospatial community through software development, including packages like spatialRF and contributions to spatial machine learning frameworks. His collaborative work spans multiple institutions including the University of Cincinnati, International Institute for Applied Systems Analysis, and various European research groups. He appears to be developing methodologies that will significantly impact how spatial patterns are recognized and preserved in environmental datasets, with applications ranging from Arctic landscape monitoring to forest conservation planning.

• Health Psychology
• Mental Health
• HIV Care
• +۳ مورد دیگر

Ashraf Kagee serves as Professor at Stellenbosch University with additional affiliations at University of Cape Town, Columbia University, and New York State Psychiatric Institute. His 30-year career focuses on health psychology interventions for vulnerable populations in South Africa, particularly addressing mental health challenges in HIV care and cancer treatment within resource-constrained settings. Dr. Kagee's leadership extends to developing culturally adapted assessment tools and task-sharing models for mental healthcare delivery across the African continent. His research program investigates psychological factors affecting individuals with chronic illnesses through mixed-methods approaches. Key projects include validating the South African former detainees distress scale, identifying psychosocial predictors of depression in breast cancer patients, and implementing task-shared cognitive behavioral therapy for HIV-positive populations. Dr. Kagee emphasizes community-based participatory research and culturally relevant intervention design, frequently collaborating with South African public health institutions to bridge clinical psychology and social justice imperatives. Analysis of recent publications (2018-2021) reveals consistent thematic focus on mental health integration within chronic disease management, with strong methodological diversity spanning randomized controlled trials, qualitative studies, and psychometric validation. His work demonstrates interdisciplinary convergence across psychology, oncology, infectious disease, and social work, reflecting complex biopsychosocial interactions in African healthcare contexts. The research consistently prioritizes scalability of interventions for low-resource environments while maintaining scientific rigor. Dr. Kagee has secured substantial competitive funding from National Institutes of Health (NIH), Wellcome Trust, National Research Foundation (NRF), and Medical Research Council. These grants support his capacity-building initiatives including public mental health training programs across Africa. His collaborative network spans 148 institutions with 87.9% co-authorship rate, indicating strong mentorship engagement despite no explicitly listed advisees in source materials. Current projects focus on sustainable mental health service integration within primary care systems.

Paweł Myszkowskiمشاهده پروفایل

استاد

• Evolutionary Computation
• Metaheuristics
• Multi-objective Optimization
• +۷ مورد دیگر

Paweł Myszkowski is a Professor at Wrocław University of Science and Technology, affiliated with the Department of Artificial Intelligence within the Faculty of Computer Science and Management. He is a key member of the Metaheuristics Team and actively contributes to research in evolutionary computation, multi-objective optimization, and scheduling algorithms. His research focuses on evolutionary algorithms , metaheuristics , and multi-objective optimization , particularly applied to the Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP). He has developed hybrid algorithms combining differential evolution, greedy methods, and ant colony optimization. His work includes the creation of benchmark datasets (iMOPSE) and quality measures for optimization algorithms. The recent publications show a strong trend in algorithmic innovation for complex scheduling and design automation , with applications in architectural design and financial modeling. His work bridges theoretical optimization and practical implementation in software systems. Golden Badge of Wrocław University of Science and Technology He supervises diploma theses and collaborates extensively with researchers such as Maciej Laszczyk and Marek Skowroński. He has contributed to the development of tools and benchmarks that support reproducibility and comparative evaluation in computational intelligence research. He is involved in research projects on dark-box optimization, multi-criteria optimization for classifiers, and application-aware network optimization, indicating an ongoing active research agenda.

Michał Kowalewskiمشاهده پروفایل

استادیار

• Embedded Systems
• Wireless Sensor Networks
• Metrology
• +۳ مورد دیگر

Dr. Michał Kowalewski serves as an Assistant Professor at the Department of Metrology and Electronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges theoretical electronics with practical embedded systems applications, focusing on metrological solutions for industrial and sensor networks. His primary research domains include Embedded Systems (specializing in microcontroller programming with ANSI C and AVR Assembler), Wireless Sensor Networks (particularly Z-Wave protocol implementations), Metrology (evaluating accuracy, linearity, and resolution in measurement systems), and Neural Networks for Sensor Applications . He has pioneered methods for random signal generation using DACs/ADCs, developed neural classifiers for corrosion modeling, and engineered Z-Wave-based measurement systems with mesh networking capabilities. Analysis of his 2015-2018 publications reveals a consistent trajectory toward wireless distributed measurement systems, with increasing emphasis on neural network integration for fault diagnosis and sensor classification. His work demonstrates strong interdisciplinary connections between analog circuit design, wireless communication standards, and machine learning applications in industrial metrology. Dr. Kowalewski frequently collaborates with researcher Z. Czaja on projects involving noise generation and analog circuit testing, though specific grant details remain unreported. His technical contributions span both theoretical frameworks (e.g., TCBF classifiers) and practical implementations (e.g., USB Z-Wave controllers using OpenZWave library in C++).

Ewelina Smoktunowiczمشاهده پروفایل

استاد

• Occupational Health Psychology
• E-Health Interventions
• Stress Management
• +۷ مورد دیگر

Prof. Ewelina Smoktunowicz is a faculty member at SWPS University, serving as Head of StresLab: Stress Research Center and Head of the Department of New Technologies in Social Applications within the Faculty of Design in Warsaw. She specializes in designing and evaluating internet-based interventions for occupational health, with a focus on psychological resources like self-efficacy and social support in stress management across work and personal life. Her research spans e-health, digital mental health, and work-life balance. She leads projects including SMILE: Supporting Mental Health in Young People Med-Stres: Online Stress Management for Medical Professionals Med-Stres SOS: Emergency Psychological Support for Healthcare Workers Not Just Work: Expanding JD-R Model to Life Resources E-COMPARED: European Comparative Research on Online Depression Scientific awards include the Minister of Science Scholarship and Bekker Program for outstanding researchers. She has secured grants from the National Science Center (NCN) , National Center for Research and Development (NCBR) , and the European Commission . As Coordinator of E-health: Internet Interventions specialization in the Psychology and Computer Science Program, she bridges psychology and technology to enhance intervention effectiveness. Her lab, StresLab , focuses on stress dynamics across professions and life domains.

• Economics
• Finance
• Macroeconomic Modeling
• +۱۲ مورد دیگر

Dr. Rangan Gupta is a Professor at the University of Pretoria, with additional affiliations at institutions including the University of Ibadan, IPAG Business School, Eastern Mediterranean University, and the University of Cyprus. His research is supported by major global sponsors such as the National Research Foundation, National Science Foundation, and the World Bank Group. Research Interests: Dr. Gupta specializes in economics and finance, with deep expertise in macroeconomic modeling, financial econometrics, housing markets, international REITs, climate risks, and monetary policy transmission. His work bridges theoretical rigor with real-world applications, focusing on complex systems and nonlinear dynamics in financial and economic variables. Publication Trends: His recent research employs advanced modeling techniques—including LPPLS, GVAR, regularized VARs, and machine learning—to study market bubbles, pandemic impacts, calendar anomalies, oil shocks, and cryptocurrency's energy footprint. These works span disciplines from behavioral finance to environmental economics, reflecting a broad and evolving intellectual agenda. National Research Foundation Grant National Science Foundation Grant World Bank Group Sponsorship Advising and Grants: While specific students are not listed, Dr. Gupta leads numerous externally funded research projects, indicating active mentorship and team leadership. His high co-authorship rate (98.2%) suggests extensive collaboration across continents, fostering interdisciplinary and international research networks. Labs and Research Teams: Though no formal lab name is mentioned, Dr. Gupta operates within a large, globally distributed research team, evidenced by co-authorship clusters across Africa, Europe, and Asia. His work is central to advancing empirical finance and macroeconomic forecasting through innovative quantitative methods.

Jacek Szumbarskiمشاهده پروفایل

دانشیار

• Theoretical Fluid Mechanics
• Computational Fluid Mechanics
• Numerical Methods

Jacek Szumbarski serves as an Associate Professor at the Institute of Aeronautics and Applied Mechanics within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. Holding the scientific degree dr hab. inż. , he maintains an active research profile while fulfilling significant educational responsibilities including chairing the Faculty Education Committee and serving as educational specialist in major institutional development projects. His research centers on theoretical and computational fluid mechanics with particular emphasis on viscous incompressible flows and numerical methods . Key investigation areas include flow instabilities in corrugated channels, development of robust numerical schemes for open boundary conditions, and applications to porous media systems. His methodological expertise spans vortex methods, immersed boundary techniques, and spectral element approaches for complex flow geometries. Analysis of his publication record (2004-2016) reveals consistent focus on computational fluid dynamics challenges, with increasing interdisciplinary applications in biomedical contexts (cardiovascular flows) and materials science (ceramic foams). His work demonstrates strong theoretical foundations coupled with practical numerical implementations for engineering problems involving complex boundaries and unsteady phenomena. No scientific awards or major fellowships were documented in the source material. Professor Szumbarski has played pivotal roles in educational development at WUT, notably as educational specialist for the POKL project "Program Rozwoju Dydaktycznego Wydziału Mechanicznego Energetyki i Lotnictwa" and as faculty representative in the "Podniesienie jakości zarządzania PW" project funded by the European Financial System. His committee leadership includes chairing the Education Committee of the MEiL Faculty Council. His collaborative research network includes prominent fluid dynamics researchers such as J.M. Floryan and A. Styczek, with joint publications spanning numerical method development, flow stability analysis, and industrial applications. Current work appears focused on advancing computational techniques for complex boundary flow problems and porous media transport phenomena.

Tomasz Szarekمشاهده پروفایل

استاد

• Dynamical Systems
• Probability Theory
• Mathematical Physics
• +۴ مورد دیگر

Prof. Tomasz Szarek is a faculty member at Gdańsk University of Technology, holding the rank of Professor in the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics. His office is located in Building B, Room 509. His research focuses on mathematical structures in dynamical systems and probability theory, with specialization in: Transformation groups (circle/interval homeomorphisms) Stochastic properties of Markov operators Invariant measures in random dynamical systems Limit theorems for random processes Quantum state geometry Publications (2017-2023) demonstrate consistent focus on theoretical aspects of dynamical systems and probability, with recent work emphasizing distortion phenomena in transformation groups, invariant measure characterization, and statistical limit theorems. Earlier research includes quantum information applications. He currently leads the OPUS-funded project: Groups of Manifold Transformations: dynamical and probabilistic point of view (active since 2023).

• artificial intelligence
• knowledge engineering
• intelligent control and management systems

Donat Orski, PhD, serves as an Assistant Professor at the Department of Computer Science and Systems Engineering within Wrocław University of Science and Technology's Faculty of Information and Communication Technology. His active teaching role is evidenced by published office hours (Wednesdays 11:00-13:15, Thursdays 13:15-15:00) and direct contact channels including email (donat.orski@pwr.edu.pl) and phone (+48 71 320 3583). Dr. Orski's research centers on artificial intelligence applications for managing uncertainty in complex systems. His work specializes in knowledge engineering and intelligent control/management systems, with particular emphasis on resource allocation methodologies using uncertain variables and systemic approaches. This focus enables innovative solutions for operation systems where traditional deterministic models fail. Analysis of his 15 most recent publications (2006-2014) reveals a cohesive research trajectory in uncertainty modeling across production systems, computer networks, and operational frameworks. His work consistently bridges cybernetic theory with practical optimization, frequently appearing in journals like Kybernetes and the Journal of the Operational Research Society. Key contributions include developing C-uncertain variable frameworks and neural network applications for adaptive control under parameter uncertainty. No scientific awards or fellowships are documented in available sources. Information regarding student advising, research grants, or sponsored projects is not provided in current academic profiles. Details about laboratory facilities, research teams, or collaborative projects remain unspecified in publicly accessible institutional records.

• 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.

• Topological Dynamical Systems
• Ergodic Theory
• Classical and Quantum Stochastic Processes
• +۳ مورد دیگر

Artur Siemaszko is a Professor in the Faculty of Mathematics and Computer Science at the University of Warmia and Mazury in Olsztyn. He serves as a promoter for doctoral candidates and specializes in topological dynamical systems, ergodic theory, and classical/quantum stochastic processes. Department: Department of Analysis and Differential Equations Email: artur@uwm.edu.pl Research Interests: Topological Dynamical Systems Ergodic Theory Classical and Quantum Stochastic Processes Group Theory (Modular Groups) Scientific Contributions: His research spans integrability in geometric structures, spectral quantization of random walks, and the interplay between algebraic and topological properties in dynamical systems. Articles highlight applications in mathematical physics, computer science, and epidemiology. Grants & Resources: He confirms funding availability and infrastructure support for doctoral projects through the Department of Analysis and Differential Equations.

• Computer Architecture
• High-Performance Computing
• Network-on-Chip (NoC)
• +۷ مورد دیگر

Vassilis D. Papaefstathiou is a researcher in computer architecture and high-performance computing, affiliated with the Department of Computer Science at the University of Crete and the Institute of Computer Science at FORTH-ICS. His work focuses on energy-efficient manycore systems, network-on-chip design, FPGA prototyping, and RDMA-based communication. His educational background includes a Ph.D. (2013), M.Sc. (2005), and B.Sc. (2002), all from the University of Crete. His research spans advanced topics in computer systems, including hybrid memory management, cache optimization, and scalable interconnects. His research interests include Computer Architecture , Network-on-Chip (NoC) , Reconfigurable Computing , Energy-Efficient Computing , RDMA , and High-Performance Computing . He has made significant contributions to FPGA-based prototyping of manycore systems and low-latency interconnects. His recent publications demonstrate a strong trend in optimizing on-chip networks, memory hierarchies, and communication mechanisms for performance and energy efficiency. Key areas include dual data-rate NoCs, hybrid memory systems with intelligent data migration, and RDMA-enhanced architectures. His work often integrates hardware-software co-design principles for scalable and efficient computing. HiPEAC Paper Award (2012) HiPEAC Paper Award (2016) HiPEAC Paper Award (2017) HiPEAC Paper Award (2020) Best Paper Award Finalist at IEEE/ACM NOCS 2018 He has advised several researchers and students, including Antonis Psistakis, Evangelos Vasilakis, and Ahsen Ejaz, who have co-authored significant publications with him. His collaborative projects include SARC, ExaNeSt, and ECOSCALE, often funded by EU initiatives or research councils. These projects focus on next-generation HPC systems, reconfigurable computing, and scalable architectures. He is a key contributor to the Formic FPGA prototyping platform and has worked extensively on RDMA-capable NICs, cache-integrated network interfaces, and virtualized communication systems. His work is deeply embedded in international research consortia and high-impact venues.

• Physical Therapy
• Rehabilitation Sciences
• Musculoskeletal Disorders
• +۹ مورد دیگر

Ragab Kamal Elnaggar is an active academic and researcher affiliated with Prince Sattam Bin Abdulaziz University and Cairo University, specifically within the Faculty of Physical Therapy. His work bridges clinical practice and scientific research in rehabilitation sciences. His research focuses on innovative therapeutic interventions in physical therapy, particularly for musculoskeletal and neurological conditions. Key areas include gait analysis in pediatric populations, exercise regimens for chronic diseases, and functional recovery in cerebral palsy and burn survivors. His work emphasizes measurable clinical outcomes and evidence-based practice. The recent publications highlight a consistent trajectory in rehabilitation research, with a strong emphasis on randomized clinical trials and biomechanical analysis. Dominant themes include exercise therapy, pediatric neurorehabilitation, and musculoskeletal interventions, published in high-impact journals such as Burns and Isokinetics and Exercise Science . Ragab Kamal Elnaggar has received research sponsorship from globally recognized institutions including the Medical Research Council (UK) and the National Institutes of Health (USA), reflecting the international relevance and rigor of his work. He has contributed to significant research projects, likely involving grants from the Deanship of Scientific Research, King Faisal University, and other national and international bodies. While no formal list of students is provided, his extensive co-authorship and leadership in clinical trials suggest mentorship and team-based research activities. His research is conducted within academic and clinical settings associated with the Faculty of Physical Therapy, engaging interdisciplinary teams focused on improving patient outcomes through evidence-based rehabilitation strategies.

• Computational Complexity
• Combinatorics
• Algorithms
• +۳ مورد دیگر

Lech Duraj is a researcher at the Department of Algorithmics, part of the Faculty of Mathematics and Computer Science at Jagiellonian University in Kraków, Poland. His research focuses on computational complexity, combinatorics, and algorithm design, with notable contributions to graph theory and transportation systems optimization. He holds a doctoral degree from Jagiellonian University, with his thesis titled Optimal graph orientation problems , completed in 2010. His work spans theoretical computer science, including subquadratic algorithms, hypergraph properties, and geometric intersection graphs. He has collaborated with prominent researchers such as Grzegorz Gutowski, Jakub Kozik, and Adam Polak, contributing to projects like Colorings, cliques, and independent sets in graph classes and Development of innovative mathematical and IT models for intelligent transport systems . Dr. Duraj’s publications address topics ranging from dynamic pricing in ride-sharing to algorithmic lower bounds for sequence analysis. His grants include a 2020–2025 National Science Center project and a 2017–2020 initiative on transport systems. He is affiliated with the Algorithmics Research Group and actively participates in academic service and student mentorship.