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Tadeusz TyszkaView profile

Professor

• Economic Psychology
• Decision-Making Psychology
• Risk Perception
• +3 more

Prof. Tadeusz Tyszka is a Full Professor and Director of the Center for Economic Psychology and Decision Research (Centrum Psychologii Ekonomicznej i Badań Decyzji ALK) at Kozminski University. His primary research interests include decision-making psychology, economic psychology, and behavioral economics. He has authored numerous books and articles, including Psychologiczne Pułapki Oceniania i Podejmowania Decyzji and Psychologia Zachowań Konsumenckich . He has held leadership roles in international scientific associations, such as the International Association for Research in Economic Psychology and the Division 9 (Economic Psychology) of the International Association of Applied Psychology. His research focuses on cognitive and emotional factors influencing risk perception, decision-making under uncertainty, and consumer behavior. Recent work examines how psychological biases affect choices related to insurance, disaster preparedness, and entrepreneurial risk-taking. Prof. Tyszka’s interdisciplinary approach bridges psychology, economics, and behavioral science to understand human decision processes in complex scenarios. He has contributed to debates on moral judgment, probabilistic reasoning, and the application of psychological principles to policy design. His publications span experimental studies, theoretical analyses, and critiques of literary and historical works through a psychological lens.

Adam WoźniakView profile

Professor

• Coordinate Metrology
• Mechanical Engineering
• Quality Engineering
• +5 more

Adam Woźniak is a Professor and Vice-Rector for Development at Warsaw University of Technology (WUT), holding positions at the Faculty of Mechatronics and the Institute of Metrology and Biomedical Engineering. He earned a PhD in 2002, D.Sc. (habilitation) in 2011, and was promoted to full professor in 2017. His research focuses on advanced geometrical measurement techniques, coordinate metrology, quality engineering, and reliability of mechatronic systems. He has authored 2 books and over 130 scientific publications, including work on probing accuracy, X-ray CT applications, and dynamic error analysis in manufacturing systems. Notably, he served as Director of the Institute of Metrology and Biomedical Engineering (2012–2020) and later as Dean of the Faculty of Mechatronics (2020). He received the Polish Prime Minister’s Prize for Scientific Achievements (2012) and multiple scholarships from the Foundation for Polish Science. Education: PhD (2002), D.Sc. (2011), Warsaw University of Technology; Visiting Professor at École Polytechnique de Montréal (2005–2006). Research interests include coordinate measuring machine (CMM) performance, probing system accuracy, and industrial CT applications. His work addresses dynamic error identification, probe error compensation, and precision measurement techniques. Recent projects involve high-density point cloud correction, scanning probe validation, and pediatric growth measurement systems. His articles analyze topics like probe reliability, CNC machine tool errors, and X-ray CT threshold optimization. Awards also include recognition for leadership in standardization bodies, including roles in Poland’s Council for Metrology and Standardization. He has supervised 6 PhD students and numerous master’s candidates, contributing to over a dozen funded research projects. His lab, the Virtual Manufacturing Research Laboratory, integrates metrology, mechatronics, and biomedical engineering for advanced measurement solutions.

Michał Paweł MichalakView profile

Assistant Professor

• computational geometry
• machine learning in Earth sciences
• statistical methods in Earth sciences
• +2 more

Michał Paweł Michalak is an Assistant Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection and Department of Geoinformatics and Applied Informatics. His research spans computational geometry in geological modeling, machine learning applications in Earth sciences, statistical epidemiology, and ecclesiological dynamics. Doctoral degree from University of Silesia in Katowice Developed GeoAnomalia software suite combining C++, R, and ParaView Created unbiased risk metrics (WCSIR) for infectious disease surveillance Research focuses on: Subsurface geological modeling using combinatorial algorithms and machine learning; Spatial epidemiology emphasizing testing heterogeneity bias; Ecclesiological dynamics analyzing factional theological interactions. His 2020/37/N/ST10/02504 grant project received 'very good' evaluation for developing angular distance metrics in geological contacts. Scientific contributions include: 2025 Solid Earth paper on fault-related structure detection 2025 Frontiers in Public Health work on global pandemic risk evaluation 2023 AGH Rector award recipient Developer of open-source geological analysis tools Collaboration network includes Harvard University, Technische Universität Freiberg, and University of Texas at Austin. Currently teaching GIS modeling, optimization methods, and geoinformatics systems. Maintains a personal website with open data access.

• Fluid Mechanics
• Numerical Modeling
• Porous Media
• +6 more

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.

Paweł PilarczykView profile

Associate Professor

• dynamical systems
• computational topology
• rigorous numerics
• +2 more

Paweł Pilarczyk is an Associate Professor at the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology, where he has been employed since 2018. His research spans multiple mathematical disciplines with applications across various scientific fields. Dr. Pilarczyk's research interests include dynamical systems , computational topology , rigorous numerics , and applications of advanced computational techniques . His work bridges theoretical mathematics with practical applications in neuroscience, cardiology, ecology, and epidemiology. Analyzing his publication record from 2025 back to 2007 reveals a consistent focus on rigorous mathematical approaches to understanding complex systems. His recent work shows increasing interdisciplinary applications, particularly in medical diagnostics (sleep apnea detection, heart rate variability analysis) and neuroscience (neuron modeling), while maintaining strong foundations in pure dynamical systems theory. As project manager for the OPUS-funded "Topological and numerical methods in dynamical systems" (since 2022), he leads significant research initiatives at the Department of Differential Equations and Mathematical Applications. Dr. Pilarczyk maintains an active research program with collaborators across multiple institutions, evidenced by his extensive publication record and research data sets available through Gdańsk Tech's Bridge of Knowledge platform.

• Signal Processing
• Electronics
• Biomedical Engineering
• +5 more

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

Jacob FishView profile

Professor

• Computational Mechanics
• Multiscale Modeling
• Structural Engineering
• +3 more

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.

Lukasz MezykView profile

Researcher

• Rocket Propulsion
• Spacecraft Design
• Thermal Decomposition
• +4 more

Lukasz Mezyk is a researcher at the Division of Aircraft Engines , Institute of Heat Engineering, Warsaw University of Technology. He specializes in advanced propulsion systems for spacecraft with a focus on resistojet and cold gas thrusters. Email: lukasz.mezyk@pw.edu.pl Room: 303 Professional Membership: Polish Combustion Institute, Space Technology Projects Expert Research Focus : Dr. Mezyk's work centers on: Resistojet thruster development Green propellant technologies Thermal decomposition of hydrogen peroxide Spacecraft attitude control systems Supercapacitor-powered propulsion Microgravity robotics propulsion Publication Trends : His recent work emphasizes resistojet optimization using supercapacitors and green monopropellants, with significant contributions to thermal decomposition mechanisms and spacecraft robotics applications. Awards : I degree Team Award for organisational achievements (2018) Teaching : He instructs courses on astronautics, rocket propulsion, and spacecraft design, while supervising numerous diploma theses and serving on academic committees. Organizational Roles : Dr. Mezyk serves as secretary of diploma exams and contributes to training programs for space technology projects, including satellite design phases and propulsion systems education.

John HughesView profile

Associate Professor

• Biostatistics
• Health Data Science
• Statistical Computing
• +6 more

John Hughes, PhD, is an Associate Professor and Chair of the Department of Biostatistics and Health Data Science at Lehigh University's College of Health. With nearly 30 years of experience in higher education, he has held positions at institutions including Frostburg State University, the University of Minnesota, and Pennsylvania State University. His methodological research focuses on statistical models for dependent data, Bayesian methods, and spatial and spatiotemporal analysis. He has developed numerous software packages for R and Perl, including copCAR , ngspatial , and krippendorffsalpha . Dr. Hughes' interdisciplinary work spans environmental health, bioimaging, vaccine hesitancy, and spatial epidemiology of HPV-related cancers. He has consulted for organizations such as the Courage Kenny Research Center and Temple University. His education includes a PhD in Statistics from Penn State University and an MS in Applied Computer Science from Frostburg State University. His research emphasizes statistical computing and the application of advanced models to health data. Recent work includes methodologies for agreement coefficients, environmental noise measurement, and spatial analysis of vaccination refusal patterns. Dr. Hughes teaches courses in biostatistics, data science, and programming, reflecting his dual role as a teacher-scholar. Professional contributions include software development, collaborative research projects, and academic leadership. His work bridges computational innovation and real-world health challenges, positioning him as a key figure in modern biostatistical research.

• Political Geography
• Demography
• Migration Studies
• +3 more

Dr. Wojciech Józef Janicki is a Professor at Maria Curie-Skłodowska University in Lublin, Poland, where he serves as Director of the Institute of Socio-Economic Geography and Spatial Economy and Head of the Department of Socio-Economic Geography within the Faculty of Earth Sciences and Spatial Management. His research focuses on political geography, demography and development, with particular emphasis on migration policy, demographic policy, national and ethnic minorities, international conflicts, global problems, and regional development. His work bridges theoretical geography with practical policy implications, especially regarding migration and demographic challenges in Eastern Europe and at the EU's external borders. He has developed an interdisciplinary approach that increasingly integrates psychological perspectives on societal fears with traditional geographical analysis. His recent publications demonstrate a strong focus on migration policy, demographic challenges, and regional development, with an increasing attention to psychological aspects of societal fears. His 2024 edited volume "Fear/Less" represents a significant interdisciplinary contribution examining societal fears from multiple perspectives, reflecting his expanding research horizon beyond traditional geography. Dr. Janicki is actively engaged in public policy discourse as evidenced by his membership in several important bodies: Member of the Government Population Council since 2024 Member of the Committee on Demographic Sciences of the Polish Academy of Sciences since 2019 Member of the Scientific Council of the Polish Geopolitical Society since 2024 Member of the Editorial Board of Global Population Perspectives since 2025 His academic contributions extend to public engagement through numerous podcasts and lectures where he discusses migration, demography, and societal fears. His ORCID profile shows an h-index of 9 (Google Scholar), 4 (Scopus), and 3 (Web of Science), with a total of 44 publications and a ministerial score of 1,110. He maintains an active consultation schedule for students during the 2024/2025 academic year.

• Cybersecurity
• Cryptography
• Information Security
• +7 more

Dr. Viktor Melnyk serves as an Assistant Professor in the Department of Applied Computer Science at the Institute of Mathematics, Informatics and Landscape Architecture within the Faculty of Natural Sciences and Technology at John Paul II Catholic University of Lublin. His academic activities span teaching, research, and extensive student supervision across multiple years. His research interests focus on cybersecurity, cryptography, and FPGA-based systems, with particular expertise in wireless network security (especially IEEE 802.15.4), hardware acceleration, and machine learning applications in electronic design. His work bridges theoretical computer science with practical security implementations, evident in his numerous publications and student thesis topics. Analysis of Dr. Melnyk's recent publications reveals a consistent focus on hardware security implementations, particularly for low-rate wireless networks and reconfigurable computing systems. His research trajectory shows increasing integration of machine learning techniques with traditional security protocols, reflecting broader trends in the field. The publications demonstrate both theoretical depth and practical implementation focus, with many papers addressing specific hardware implementations. Dr. Melnyk has served as an Independent External Expert for evaluating grant proposals in the European COST Open Call competition, indicating professional recognition of his expertise. His contributions to the academic community extend to reviewing numerous scientific articles across various domains including biomedical data processing, cyber-physical systems, and cloud computing. His academic advising is exceptionally active, with documentation of supervising over 100 diploma theses from 2015 through 2025 across both Bachelor's and Master's levels. The thesis topics consistently align with his research interests, covering cybersecurity, cryptography, network security, and hardware implementations. He teaches courses including 'Operating Systems,' 'Network Data Protection Technologies,' and 'Multimedia Systems,' with teaching materials adapted for remote delivery during the pandemic period.

Lucyna NykaView profile

Professor

• Urban Flood Resilience
• Nature-Based Solutions
• Waterfront Design
• +3 more

Prof. Lucyna Nyka serves as Professor and Head of the Department of Urban Architecture and Waterfront Spaces at the Faculty of Architecture, Gdańsk University of Technology. Her leadership role encompasses academic administration and research direction within this specialized department focused on climate-resilient urban design. Her research interests center on urban flood resilience , nature-based solutions , and waterfront adaptation strategies in the face of climate change. She employs advanced methodologies including GIS spatial analysis , multi-objective optimization algorithms , and comparative urban studies to develop practical frameworks for sustainable urban development. Her work bridges theoretical research with real-world implementation through numerous international projects. Recent publication trends reveal a strong focus on climate-sensitive urban environments , particularly examining the intersection of walkability and flood resilience in waterfront public spaces across the Baltic Sea Region. Her research portfolio demonstrates consistent evolution from theoretical explorations of architecture-water relationships toward actionable strategies for climate adaptation, with increasing emphasis on nature-based solutions and spatial optimization techniques since 2020. Prof. Nyka leads significant international research initiatives including the Horizon 2020 project 'SOS Climate Waterfront' (agreement 823901) and the 'Premium on the Horizon' funded initiative, both focused on improving waterfront adaptation strategies to climate change. Additional projects include 'Urban ElemenTREE' for smart green space development and the 'ENACT 15mC' initiative for neighborhood co-creation within the 15-minute city framework. Her department actively engages in practical implementation through projects like the revitalization of Potok Królewski stream on the university campus, demonstrating integration of academic research with tangible urban interventions. Current work emphasizes data-driven approaches to climate adaptation, particularly through nature-based solutions that address both flood risk and socio-economic considerations in urban planning.

• Meteorology
• Numerical Methods
• Remote Sensing
• +5 more

Ireneusz Winnicki is a **Full Professor** at the **Military University of Technology**, affiliated with the **Faculty of Civil Engineering, Geodesy and Transport**. His research focuses on **meteorological modeling**, **numerical methods**, **remote sensing**, and **applied mathematics**, with applications in transport safety and environmental monitoring. **Research Interests**: He specializes in advanced numerical techniques for solving nonlinear systems (e.g., Newton’s method), high-order differential equation modeling (Beam–Warming, Lax-Wendroff), and radar-based precipitation intensity analysis. His work integrates atmospheric dynamics, image processing (Laplace contour filters), and parallel computing for weather forecasting and hazard prediction. **Collaborations and Impact**: He has extensive collaborations, notably with **Sławomir Pietrek** (14 joint publications). His research addresses critical challenges like frontogenesis/frontolysis modeling, MODIS satellite data analysis for visibility prediction, and urban development cartography in protected areas. **Awards and Recognition**: No scientific awards are explicitly mentioned in the provided texts. **Advising and Grants**: No advised students or specific grants are listed, though his work suggests involvement in research projects related to meteorological radar systems and numerical modeling.

Artur DąbrowskiView profile

Professor

• Nonlinear Dynamics
• Chaos Theory
• Mechanical Engineering
• +3 more

Dr. hab. Artur Dąbrowski is a Professor at the Department of Machine Dynamics - Division of Dynamics, Lodz University of Technology, Poland. His research focuses on Nonlinear Dynamics , Chaos Theory , and Mechanical Engineering , with a particular emphasis on Lyapunov exponent estimation, synchronization in chaotic systems, and control optimization. Key research areas include: Nonlinear Dynamics and Chaos Quantification Control Theory and Optimization Mechanical Systems and Oscillators Lyapunov Exponent Algorithms Surface Micro-Geometry in Bearings Vehicle Crashworthiness and Energy Flow His publications reveal a consistent focus on analyzing complex systems with reduced data, developing novel methods for chaos detection, and applying these insights to mechanical engineering challenges.

Jakub NowosadView profile

Researcher

• Spatial Association
• Information Theory
• Landscape Metrics
• +7 more

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.