جست‌وجوی استاد و پژوهشگر

Michał Panekمشاهده پروفایل

پژوهشگر

• Machine Learning
• Optimization
• Multi-criteria Optimization
• +۷ مورد دیگر

Michał Panek is a researcher at the Department of Computer Systems and Networks, Faculty of Computing, Wroclaw University of Science and Technology. He is a member of the Machine Learning Team (ZUM) and actively contributes to research in optimization and machine learning applications in networking. His research interests include: Machine Learning in cellular networks Multi-criteria and many-objective optimization Evolutionary algorithms with gene-linkage techniques Application-aware multi-layer network optimization Classifier training using optimization methods The research projects he is involved in focus on developing advanced general-purpose optimizers (Dark-Box Optimization), evolutionary methods for high-dimensional multi-criteria problems, and performance analysis for wireless network automation. These projects reflect a strong interdisciplinary trend combining computer science, optimization theory, and telecommunications engineering. Michał Panek serves as a supervisor for diploma theses and is engaged in teaching activities. He is currently completing his doctoral studies, with a thesis titled "Machine Learning-based performance analysis to enhance the wireless network automation," supervised by Prof. Michał Woźniak and Prof. Ireneusz Jabłoński. The defense is scheduled for March 18, 2025. He is involved in key research teams including: Machine Learning Team Teaching Team Computer Networks Team Advanced Data Analysis Methods Team Metaheuristics Team

Piotr Oramusمشاهده پروفایل

استادیار

• Parallel Computing
• Distributed Computing
• Glowworm Swarm Optimization
• +۴ مورد دیگر

Piotr Oramus, PhD, is an Assistant Professor in the Department of Information Technologies at Jagiellonian University in Kraków, Poland. His research focuses on parallel and distributed computing, glowworm swarm optimization algorithms, and computational materials science. He holds a PhD in Physics from Jagiellonian University (2001) and an MSc in Physics (1995) from the same institution. Education: MSc (1995), PhD (2001) in Physics from Jagiellonian University Affiliations: Department of Information Technologies, Jagiellonian University; Juna Network Academy (Juniper Networks Academic Alliance) His research interests include optimization algorithms, Monte Carlo simulations for material systems, and distributed computing architectures. Recent work has advanced glowworm swarm optimization techniques and explored atomic ordering dynamics in intermetallic alloys. Key contributions span computational modeling of phase transitions, defect chemistry, and superstructure stability. Teaching responsibilities include courses on computer networks and object-oriented design. He has published extensively on topics ranging from parallel computing frameworks to atomic migration mechanisms in materials science. Grants include BASTION, MASTER, and VENTURES (2011/8 KBN Grant) projects. He leads the Students Computer Laboratory and collaborates with the Juna Network Academy for academic-industrial partnerships.

• Computer Vision
• Human-Computer Interaction
• Optical Engineering
• +۷ مورد دیگر

Professor Dariusz Sawicki is a faculty member at Warsaw University of Technology's Faculty of Electrical Engineering, affiliated with The Institute of the Theory of Electrical Engineering, Measurement and Information Systems. His research spans computer vision, optical engineering, and human factors with applications in virtual reality and occupational safety. His primary research interests focus on advanced optical systems including ray tracing methodologies, light source characterization, and image processing techniques. Specialized work in glare assessment at outdoor workplaces has established him as an expert in lighting ergonomics, while his development of Semi-Cave virtual reality environments demonstrates interdisciplinary innovation connecting computer graphics with human psychophysiology. Recent publications reveal expanding work in botanical reconstruction, fractal generation, and pandemic-era communication systems. Professor Sawicki has supervised 92 promoted theses and authored 80 publications with significant bibliometric impact (h-index 9 in Scopus). His work includes 1 patent and participation in multiple projects, with research funded through institutional support at Warsaw University of Technology. Current laboratory activities center on the Semi-Cave virtual reality facility for studying audiovisual environment impacts on human performance. 80 Publications with cumulative ministry score of 2,315 92 Supervised theses 1 Patent h-index (Scopus): 9 | h-index (WoS): 8 Total CiteScore: 63.19

Janusz Frączekمشاهده پروفایل

استاد

• Computer Methods in Mechanics
• Kinematics and Dynamics of Multibody Systems
• Robotics
• +۳ مورد دیگر

Prof. Janusz Frączek is a faculty member at Warsaw University of Technology, holding the academic rank of Professor. His research focuses on computational mechanics, kinematics and dynamics of multibody systems, robotics, and biomechanics. University: Warsaw University of Technology Academic Rank: Professor Contact: janusz.fraczek@pw.edu.pl | New Aviation Building, room 322 Research Interests: Computer methods in mechanics Kinematics and dynamics of multibody systems Robotics Biomechanics Teaching Activities: Dynamics of Multibody Systems Surveying and experimental techniques Theory of Machines and Mechanisms I Article Trends: The 15 most recent publications emphasize computational mechanics, robotics, Hamiltonian frameworks, and optimization. Topics include redundant constraints, parallel computing, nonholonomic systems, and augmented Lagrangian methods.

• Materials Science
• Solid-State Chemistry
• Ionic Conductivity
• +۳ مورد دیگر

Konrad Kwatek, Ph.D., is an Assistant Professor at the Faculty of Physics, Warsaw University of Technology. His research focuses on materials science, particularly in solid-state electrochemistry and ionic conductivity of ceramic systems. Specializes in lithium-ion conducting ceramics Expertise in glass-ceramic composites and doping effects Active in computational modeling of material properties Recent research trends show strong emphasis on optimizing LATP-based electrolytes through Zr-doping, additive incorporation, and synthesis techniques like spark plasma sintering. His work spans fundamental studies of ion transport mechanisms and practical applications in energy storage devices. No scientific awards or student advisement details were explicitly mentioned in the provided materials.

• 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

Daniel Pelczarskiمشاهده پروفایل

استادیار

• Photovoltaics
• Materials Science
• Physical Chemistry
• +۳ مورد دیگر

Daniel Pelczarski is an Assistant Professor at the Institute of Physics and Applied Informatics, Gdańsk University of Technology. His research focuses on the photovoltaic properties of ruthenium-based dyes, electroabsorption spectroscopy of metal complexes, and optimization of electron transfer processes in dye-sensitized solar cells. He has published extensively in high-impact journals such as Scientific Reports and Molecules . Recent publications highlight his work on: Electronic excited states of Ru(II) complexes via electroabsorption spectroscopy Adsorption mechanisms of ruthenium dyes on TiO2 surfaces Design of lightweight photovoltaic modules for grid-connected systems His studies employ computational modeling (Monte Carlo simulations) and experimental techniques to improve solar cell efficiency by analyzing molecular parameters, anchoring ligand effects, and surface interactions. Pelczarski's work bridges fundamental materials science with applied renewable energy technologies.

Rafał Ślefarskiمشاهده پروفایل

دانشیار

• Combustion Engineering
• Energy Systems
• Thermal Processes
• +۵ مورد دیگر

Rafał Ślefarski is an Associate Professor at the Institute of Thermal Energy, Poznań University of Technology. His primary affiliation is within the Faculty of Environmental Engineering and Energy (WIŚiE). He holds advanced degrees including a BEng, PhD, and DSc. His research focuses on combustion engineering, energy systems, and low-emission technologies. Key areas include combustion of non-standard gaseous fuels, Power-to-X technologies, thermo-chemical processes of biomass, and emission reduction strategies for industrial applications. He has conducted extensive research on ammonia and hydrogen blending in gas turbines, flameless combustion, and emission control. His work spans experimental studies and numerical modeling, often involving collaborations with industry partners like PGNiG and Alstom. He has supervised 7 doctoral dissertations, mentoring students in advanced combustion processes and energy efficiency. Ślefarski has held research fellowships at institutions such as Paul Scherrer Institut (Switzerland), Kungliga Tekniska Högskolan (Sweden), and Politecnico di Milano (Italy). He is a member of the Polish Institute of Combustion, European Turbine Network, and serves on the editorial board of Carbon Capture Science & Technology . His contributions include over 26 articles, 37 book chapters, and 31 research reports. Notable projects include developing low-emission combustion technologies for diverse fuel types, optimizing gas turbine performance, and analyzing thermal energy storage concepts. He has also contributed to innovations in trailer aerodynamics and fuel injection systems for industrial applications.

Sławomir Wierzbickiمشاهده پروفایل

استاد

• Mechanical Engineering
• Mechatronics
• Automotive Engineering
• +۱۲ مورد دیگر

Sławomir Wierzbicki is a Professor at the Department of Mechatronics, Faculty of Technical Sciences, University of Warmia and Mazury in Olsztyn, Poland. He is actively engaged in research, publication, and doctoral supervision, with a strong focus on mechanical and automotive systems, renewable energy, and engine technologies. Research Interests: His work spans mechatronic systems, internal combustion engines, biofuels, alternative gaseous fuels (biogas, natural gas), engine diagnostics, vibration analysis, and emissions control. He applies both experimental and numerical modeling techniques to optimize engine performance and sustainability. The recent publications analyzed show a consistent focus on alternative fuels , particularly biofuels and dual-fuel systems , engine performance and emissions , and diagnostic methods using signal and image analysis. His research bridges mechanical engineering with environmental and energy sustainability goals. Scientific Contributions: 66 publications Over 1,000 citations (Google Scholar) H-index: 18 (Google Scholar) Active supervision of doctoral students Leadership in a dedicated research lab Advising and Grants: He currently supervises one doctoral student and is willing to take on another. He has funding and infrastructure available for new PhD projects, particularly in mechatronic systems and renewable energy applications. His collaborations include researchers from Poland and abroad, and he frequently co-authors with experts in biofuels and engine systems. Laboratory and Team: He leads 'Sławomir Wierzbicki's Lab' at UWM, focusing on experimental setups for dual-fuel engines, diagnostics, and renewable fuel testing. His team works on integrated control systems, signal visualization, and performance optimization in real-time environments.

Wojciech Kmiecikمشاهده پروفایل

پژوهشگر

• Optical Networks
• Elastic Optical Networks
• Survivable Overlay Multicasting
• +۱۲ مورد دیگر

Dr. Eng. Wojciech Kmiecik is a researcher at the Department of Computer Systems and Networks, Faculty of Electronics, Photonics and Microsystems, Wrocław University of Science and Technology. He is actively involved in multiple research teams including Machine Learning, Computer Networks, Advanced Data Analysis Methods, and Metaheuristics. He also contributes to teaching and supervises diploma theses. His research focuses on optical networks , survivable multicasting , multi-criteria optimization , and metaheuristic algorithms . He has led and contributed to projects such as Dark-Box Optimization, evolutionary multi-criteria optimization, and advanced methods for multi-layer networks. His work bridges theoretical algorithm development with practical network design. The publication trends from 2010 to 2020 show a consistent focus on network survivability , elastic optical networks , and task allocation in parallel systems . His research integrates optimization techniques into networking solutions, particularly in dual homing architectures and deadline-sensitive provisioning. Key themes include resilience, efficiency, and scalability in both optical and computational systems. Scientific Awards: Medal for long-standing service to Wrocław University of Science and Technology Dr. Kmiecik has supervised diploma theses and is involved in teaching. He has not received externally reported grants, but his sustained project involvement suggests institutional or collaborative funding. He collaborates extensively with Prof. Krzysztof Walkowiak and other researchers in the department. Research Labs and Teams: Machine Learning Team Teaching Team Computer Networks Team Advanced Data Analysis Methods Team Metaheuristics Team

• Evolutionary Computation
• Global Optimization
• Artificial Intelligence
• +۵ مورد دیگر

Professor Jarosław Arabas is a distinguished academic at Warsaw University of Technology's Faculty of Electronics and Information Technology, currently serving as Head of the Division of Artificial Intelligence (since 2024) and previously as Director of the Institute of Computer Science (2016-2024). His institutional leadership includes roles as Head of the Scientific Council for Information and Communications Technology and Head of the Faculty Council Committee on Research since 2009. His educational background includes M.Sc. (1993), PhD (1996), and D.Sc. (2006) degrees. Key research areas span Evolutionary Computation, Global Optimization, Artificial Intelligence, Neural Networks, Decision Making Under Uncertainty, Smart Grids, and Energy Markets. His work demonstrates strong interdisciplinary connections between computational methods and energy systems applications. Analysis of his 15 most recent publications reveals dominant trends in surrogate-assisted optimization, particularly for JADE and CMA-ES algorithms, with significant focus on step-size adaptation, matrix-free implementations, and performance benchmarking. His research consistently bridges theoretical algorithm development with practical applications in energy markets and smart grid systems, while maintaining strong contributions to evolutionary computation theory. Rector's Award in Science (2020) Rector's Award in Education (2021) Professor Arabas has supervised 50 promoted theses and led 15 research projects, demonstrating exceptional mentorship capacity. His leadership extends to directing the Institute of Computer Science and heading the Artificial Intelligence Division. Current research activities involve the Zespół Metaheurystycznych Metod Optymalizacji i Ich Zastosowań (Metaheuristic Optimization Methods and Their Applications Team), which he leads, alongside membership in the Koło Naukowe Sztucznej Inteligencji 'GOLEM' (Scientific Circle of Artificial Intelligence).

• 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.

• Powder Metallurgy
• Hot Forging
• Titanium Alloys
• +۶ مورد دیگر

Dr. Krystian Zyguła serves as a Lecturer at the Department of Plastic Metal Processing and Extractive Metallurgy within the Faculty of Metals Engineering and Industrial Computer Science at AGH University of Science and Technology in Kraków, Poland. His academic position falls under the research and teaching staff group, with office B-4/103 and direct contact via kzygula@agh.edu.pl. He contributes to institutional governance through membership on the Materials Engineering Discipline Council. His research program centers on powder metallurgy and hot forging processes for advanced metallic materials, with particular emphasis on titanium alloys (Ti-6Al-4V, Ti-5553, metastable β alloys) and aluminum systems. He pioneers the integration of fuzzy logic methodologies and digital infrastructure for autonomous manufacturing systems, focusing on microstructure prediction, mechanical property optimization, and cracking risk assessment during metal forming. Key technical approaches include FEM simulation, processing maps, and in situ characterization of deformation behavior. Analysis of his 15 most recent publications (2021-2025) reveals a cohesive research trajectory targeting industrial metal processing challenges. Dominant themes include hot deformation kinetics of 80MnSi8-6 steel, powder metallurgy of titanium alloys, and AI-driven process optimization. His work consistently bridges computational modeling with experimental validation under industrial conditions, demonstrating strong applicability to manufacturing efficiency and material performance enhancement. Dr. Zyguła's academic service includes participation in the Materials Engineering Discipline Council. Information regarding student advising, research grants, laboratory facilities, and scientific awards is not documented in the provided sources.

Agata Kliberمشاهده پروفایل

دانشیار

• Economics
• Finance
• Econometrics
• +۶ مورد دیگر

Agata Kliber , PhD, is an Associate Professor at the Department of Applied Mathematics , Institute of Informatics and Quantitative Economics , Poznań University of Economics and Business . Her work bridges Financial Economics and Econometrics , with a focus on cryptocurrency markets , energy economics , and financial risk management . Research Themes: Financial market volatility, sovereign risk dynamics, cryptocurrency hedging properties, oil price impacts on inflation and sustainable transport, and econometric modeling (GARCH, MIDAS, NARDL). Awards: No specific awards mentioned in available data. Collaborations: Regularly collaborates with Barbara Bedowska-Sojka's research group and international scholars like Pavel Rezac and Krzysztof Echaust. Recent Publications (2022-2025) analyze: Interdependencies between energy commodities and stock markets Asymmetric effects of oil prices on inflation expectations Safe-haven properties of cryptocurrencies during crises Volatility and liquidity forecasting models Impact of pandemics on sovereign risk and fintech-bank relationships Role of Bitcoin in crisis economies like Venezuela Her methodological expertise spans Bayesian inference , stochastic volatility , and multi-criteria decision-making frameworks . ResearchGate profile shows 94 publications and 25,489 reads , indicating significant scholarly engagement.

Łukasz Chabudzińskiمشاهده پروفایل

استادیار

• Hydrology
• Geographic Information Systems (GIS)
• Climatology
• +۴ مورد دیگر

Dr. Łukasz Chabudziński serves as Assistant Professor at the Department of Hydrology and Climatology within the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University in Lublin. Employed since October 1, 2008, he earned his Doctor of Earth Sciences in Geography on March 30, 2016, following progressive roles from Assistant in the GIS Laboratory (2008-2016) to Assistant Professor positions. His educational background includes postgraduate studies in 'Management of research projects and development works' (2011-2012) and 'Research Project Manager' (2012-2013) at the University of Economics and Innovation in Lublin. Dr. Chabudziński's research focuses on hydrology, GIS applications, and climatology, with particular emphasis on groundwater resource analysis in southeastern Poland's Roztocze region and Lublin Upland. Analysis of his publication record reveals a strong interdisciplinary approach combining hydrology, geomorphology, and computational methods. His recent work increasingly integrates high-performance computing with traditional hydrological analysis, particularly examining spring dynamics, small water bodies, and geological influences on water resources in loess landscapes. Rector's Award (team, third degree) for organizing GIS Challenge (2017) Rector's Award (individual, third degree) for outstanding work for the University (2020) Dr. Chabudziński has supervised 22 diploma theses (21 bachelor's and 1 master's) with notable student successes in competitions like 'GIS Team' and 'GIS Challenge.' He serves as principal investigator for NCN grants and contributes to numerous research projects examining landscape evolution, hydrological processes, and archaeological site relationships in loess regions. He actively shapes geospatial education through leadership roles in academic conferences, competition organization, and curriculum development for geoinformatics programs, bridging theoretical research with practical applications in water resource management and environmental protection.