جست‌وجوی استاد و پژوهشگر

• Visual Effects
• Digital Imaging
• Compositing
• +۳ مورد دیگر

Michał Jankowski serves as an Assistant Professor at the Visual Effects Studio within the Institute of Animation and Games at The Władysław Strzemiński Academy of Fine Arts in Łódź. His expertise centers on digital visual effects for moving images, specializing in compositing , motion tracking , keying , and color correction . He teaches students to leverage industry-standard software (Adobe After Effects, Photoshop, Syntheyes) for film, television, and digital media workflows, emphasizing problem-solving methodologies over software-specific mastery. As part of the first-cycle full-time studies program, his studio focuses on post-production planning, technological adaptation for diverse media formats, and developing innovative techniques for creating technologically and aesthetically coherent visual outputs.

• Strategic Management
• Stakeholder Identification
• Stakeholder Management
• +۶ مورد دیگر

Dr. Anna Sławik is an Assistant Professor at the Department of Management Theory and Human Capital , part of the Faculty of Management and Social Communication at Jagiellonian University . Her work focuses on strategic stakeholder analysis, corporate social responsibility, and sustainable finance. She developed the MISS® methodology for stakeholder identification, which has been advanced into a digital tool through grants and collaborations. Her research has been funded by the Strategic Programme Excellence Initiative and CITTRU , enabling the development of a web application based on the MISS® framework. This tool is the first non-commercial software for stakeholder analysis and has been applied to urban studies and public management. International collaborations include the University of Canterbury, New Zealand; Universidad de Alicante, Spain; and the HES-GEO project under Horizon 2020. Teaching responsibilities include courses on Management Accounting , Advanced Management Accounting , and Economic Analysis of a Company .

Krzysztof Spalikمشاهده پروفایل

استاد

• Phylogenetics
• Evolutionary Biology
• Plant Taxonomy
• +۳ مورد دیگر

Prof. Krzysztof Spalik is a distinguished academic serving as Dean of the Faculty of Biology at the University of Warsaw and Head of the Scientific Council of the Biological-Chemical Research Centre. He leads the Committee of Environmental and Evolutionary Biology at the Polish Academy of Sciences (PAS). His research focuses on phylogenetics, evolution, taxonomy, and biogeography of Apiaceae, with particular emphasis on economically important plants like carrots and medicinal genera such as Ferula and Thapsia. His current project investigates ecological factors shaping secondary woodiness in Apioideae. Spalik has held numerous leadership roles, including deputy head of the Committee for Evolutionary and Theoretical Biology PAS and membership in expert panels for the National Science Centre Poland. He is a recipient of the 2013 Academic Teacher of the Year award for his contributions to education in exact and natural sciences at UW. Spalik actively engages in educational research, collaborating with the Institute of Educational Research and serving on the Central Examination Board. His teaching portfolio includes Botany, Ecological Education, Evolutionism, and Taxonomy, reflecting his commitment to both research and pedagogy. His research has led to groundbreaking taxonomic revisions (e.g., Laserocarpum in Greece) and advancements in phylogenetic methodologies, such as the Fast mvSLOUCH tool for analyzing multivariate trait evolution. Spalik’s work bridges molecular systematics with ecological adaptation, addressing topics like dispersal mechanisms, drought resistance, and inflorescence evolution in Apiaceae. Over 50 peer-reviewed publications and active roles in international collaborations underscore his influence in plant evolutionary biology.

• Software Engineering
• 3D Information Technology
• Human-Computer Interaction
• +۶ مورد دیگر

Prof. Marek Miłosz is a Professor at Lublin University of Technology, leading the Department of Software Engineering and Database Systems and the Laboratory of Motion Analysis and Interface Ergonomics. His work focuses on 3D Information Technology for cultural heritage preservation, software engineering, human-computer interaction, and mobile application development. He has spearheaded projects like the 3D Digital Silk Road initiative and the T1DCoach diabetes management app, emphasizing interdisciplinary collaboration between computer science and cultural/humanitarian fields. Research interests include: 3D digitization of historical architecture AI-driven sign language resources Competency-based curriculum design Usability testing of medical applications Ontological approaches in education Recent publications (2023-2025) highlight advancements in gesture recognition systems, low-resource language datasets, and computational methods for cultural heritage preservation. His work bridges technological innovation with societal impact through UNESCO-related heritage projects and health tech solutions. Key projects include: Development of DiagNurse clinical support app 3D digitization of Silk Road monuments Competency-based curriculum ontologies AI-powered linguistic resources for disabled communities He coordinates international education initiatives like the MADEM and PROMIS programs, integrating industry needs into computer science curricula. His laboratory develops innovative solutions for interface ergonomics and motion analysis in rehabilitation contexts.

Edip Senyurekمشاهده پروفایل

مدرس

• Recommender Systems
• Collaborative Filtering
• Serendipity-Oriented Clustering
• +۴ مورد دیگر

Edip Senyurek is a Lecturer at the Department of Computer Science within the Faculty of Computer Science, Graphics and Architecture at Vistula Academy of Finance and Business. He serves as Director of the Computer Science Education Program and Director of the Student Activities Department. Senyurek holds a Bachelor of Science in Computer Engineering from Ege University (1997), a Master of Science in Engineering Management from Rand Afrikaans University (2001), and a second Master of Science in Computer Engineering from Anadolu University (2013). His research focuses on recommender systems, group filtering, cryptology, and software development. His recent work emphasizes serendipity-oriented clustering methods in collaborative filtering, with studies applying binary similarity metrics to improve recommendation accuracy. He has also investigated electronic voting systems and the impact of similarity measures on prediction quality. Senyurek actively engages in EU-funded projects at Vistula Academy, contributing to interdisciplinary academic initiatives.

Maciej Broszمشاهده پروفایل

مدرس

• Sociology
• Urban Studies
• Qualitative Research Methods
• +۷ مورد دیگر

Dr. Maciej Brosz is a Lecturer at the University of Gdańsk’s Faculty of Social Sciences, Department of Sociology of Sport and Health. His work bridges sociology, urban studies, and qualitative research methodologies. Research Interests: Quality of life and socio-spatial conditioning Computer-assisted qualitative data analysis (CAQDAS) using NVivo Domestic space management and cultural practices Urban revitalization and youth studies Senior volunteering and social participation Article Trends: His publications focus on qualitative sociology, urban transformations, housing practices, and societal engagement with sport and aging. He emphasizes methodological innovation and socio-cultural analysis of contemporary issues. Professional Activities: Active in conferences on topics ranging from grounded theory to social practices, with presentations on ice sailing communities, housing sociology, and urban cultural dynamics.

• Databases
• Database Systems
• Project Management
• +۳ مورد دیگر

Hanna Mazur is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology , working within the Department of Applied Informatics . Her research focuses on databases, project management, and information systems , with particular emphasis on secure data exchange, IT project communication, and healthcare informatics. Her publications since 2013 demonstrate expertise in database systems, logistics IT solutions, and cybersecurity . Key works include structural methodologies for relational databases, behavioral aspects in IT project management, and challenges in electronic public services delivery. Articles often address practical implementations in public administration and healthcare , emphasizing security and system design. Email: hanna.mazur@pwr.edu.pl Office: Building D-2, Room 201/19, Wrocław Office Hours: Monday 11.00-13.00, Tuesday 15.00-17.00

Helena Dudyczمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analysis
• Business Intelligence
• +۳ مورد دیگر

Prof. Helena Dudycz is a Professor in the Department of Information Technology at Wrocław University of Economics (UEW). Her research focuses on Artificial Intelligence applications in logistics, data analysis methodologies, business intelligence systems, and semantic technologies. She actively contributes to advancing decision support systems in financial management and has explored the usability of public and corporate websites through heuristic evaluation frameworks. Her work bridges academic research and practical implementation, addressing challenges in multi-site enterprise data integration, smart mobility solutions, and quality of service in web services. Key areas of interest include big data analytics, cognitive technology for investment decisions, and semantic visualization in business intelligence. Recent publications emphasize AI-driven automation in customs processes, Microsoft 365 adoption strategies, and the development of intelligent management systems for higher education institutions. Her research consistently integrates technology with organizational efficiency, aiming to enhance decision-making through innovative IT solutions. Prof. Dudycz maintains an open collaboration stance with socio-economic entities and offers consultations on MS Teams during specified hours. Her academic contributions reflect a commitment to both theoretical advancements and real-world applicability.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +۲ مورد دیگر

Maria Eckes-Kondak is an Assistant Professor at AGH University of Science and Technology in Krakow, Poland. Her academic affiliations are structured as follows: University: AGH University of Science and Technology School: Faculty of Computer Science Department: Institute of Computer Science Her research spans core domains of Computer Science with emphasis on applied methodologies. Key interests include: Software Engineering principles and practices Artificial Intelligence algorithm development Data Science analytics frameworks Information Systems architecture Computer Science theoretical foundations No scientific awards or honors were documented in the source material. Available information does not specify student supervision activities, research grants, or collaborative funding initiatives. Similarly, laboratory affiliations, research teams, and future project directions remain unmentioned in the provided text.

• Distributed Data Management
• Cloud Computing
• Digital Cultural Heritage
• +۴ مورد دیگر

Renata Słota is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, where she serves as Vice-Dean of the Faculty of Development. Her office is located at D-17, ul. Kawiory 21, room II, 3.34, with contact details including phone +48 12 328 33 35 and email rena@agh.edu.pl. She also contributes to academic governance as a member of the Disciplinary Council for Technical Information Technology and Telecommunications. Her research centers on distributed data management and cloud computing , with pioneering work in digital cultural heritage systems , blockchain-based decentralized authority , and scientific workflow automation . Notable contributions include integrated frameworks for 3D Cultural Heritage objects management, consensus mechanisms for collaborative data sharing, and multi-cloud data access solutions. Her work bridges theoretical advances with practical applications in cultural preservation and scientific computing. Analysis of her 2020-2026 publications reveals dominant trends in decentralized data governance , cultural heritage digitization , and hybrid cloud workflow management . Key themes include blockchain applications for organizational structures, semantic interoperability for quality-oriented data access, and reproducibility frameworks for computational experiments. Her research consistently addresses real-world challenges in global data accessibility and fault tolerance. Professor Słota actively participates in major research initiatives including the Onedata project for global data federation and the Scalarm platform for distributed parameter studies, demonstrating leadership in data-intensive computing environments and collaborative infrastructure development.

• Biomedical Engineering
• Computer Vision
• Medical Imaging
• +۳ مورد دیگر

Dr. Mirosław Socha is a Lecturer 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. His office is located in building B-1, room 206, where he conducts research and academic activities. Contact is available via phone (+48 12 617 28 28) or institutional email (socha@agh.edu.pl). His research encompasses several interconnected domains: Biomedical engineering with focus on medical imaging reconstruction and visualization techniques Computer vision applications for surgical navigation and diagnostics Deep learning methodologies for medical implant design and cranial defect solutions Metrology systems including flow calibration and friction measurement Signal processing for EEG and neural interface systems Analysis of his 15 most recent publications reveals strong emphasis on computational methods in healthcare, particularly deep learning-based medical reconstruction (2022-2023), measurement instrumentation (2019-2021), and medical visualization systems (2012-2015). His work consistently bridges theoretical concepts with clinical and industrial applications. No scientific awards, prizes, or fellowships are documented in available sources. Information regarding research grants, laboratory leadership, supervised students, or collaborative teams is unavailable in the provided materials.

• EEG
• Quantitative EEG
• sLORETA
• +۸ مورد دیگر

Dr. Eng. Piotr Schneider serves as an Assistant Professor at the Department of Neuroinformatics and Biomedical Engineering, Faculty of Mathematics, Physics and Computer Science, University of Maria Curie-Skłodowska (UMCS). His academic profile includes active research in neuroinformatics and biomedical engineering, with office hours held Wednesdays and Thursdays in Room D513. Position: Assistant Professor Department: Neuroinformatics and Biomedical Engineering Faculty: Mathematics, Physics and Computer Science University: Maria Curie-Skłodowska University (UMCS) Email: piotr.schneider@mail.umcs.pl Office Hours: Wednesday 11:00-12:00, Thursday 13:30-14:30 Research interests center on EEG-based analysis of cognitive processes, particularly in credibility evaluation and psychiatric disorders. His work combines neuroscience with machine learning tools to model brain activity patterns, focusing on ERP components like P300, source localization techniques (sLORETA), and biomarker identification. Recent publications demonstrate expertise in neural signal processing for credibility assessment, machine learning applications in EEG classification, and brain-computer interface development. Key areas include message/source credibility neural correlates, psychiatric disorder EEG patterns, and practical implementations using Azure machine learning and MATLAB tools. With an ORCID ID 0000-0002-9666-9408 and 11 total publications, Dr. Schneider maintains a strong presence in computational neuroscience and biomedical signal processing. His research combines quantitative EEG analysis , artificial intelligence , and neuropsychiatric applications to advance understanding of brain processes.

Sylwia Babicz-Kiewliczمشاهده پروفایل

استادیار

• Atomic Force Microscopy
• Educational Technology
• Metrology Education
• +۶ مورد دیگر

Sylwia Babicz-Kiewlicz is an Assistant Professor at the Department of Metrology and Optoelectronics within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. She maintains an active research profile spanning measurement science and educational methodologies, with particular expertise in atomic force microscopy applications and innovative teaching approaches. Her research interests encompass atomic force microscopy (especially higher harmonic imaging for corrosion monitoring), medical diagnostics through phase microscopy, and educational technologies focused on gamification and assessment automation. Dr. Babicz-Kiewlicz has developed specialized measurement systems for phase object observation and corrosion process monitoring, while simultaneously creating innovative approaches to student assessment in metrology education. Analysis of her publication trends reveals a strategic evolution from technical measurement research (2010-2018) toward educational research (2021-2025), with recent work examining gamified lecture formats, automated assessment systems using Moodle, and pandemic-era teaching adaptations. This dual expertise positions her uniquely at the intersection of advanced metrology and educational innovation in technical fields. With 23 publications documented across scientific domains and educational research, her work demonstrates consistent scholarly contribution. Her profile indicates two notable achievements though specific details aren't provided in the available materials. Dr. Babicz-Kiewlicz has been extensively involved in academic instruction with 128 documented teaching activities. Her educational research focuses on practical improvements to metrology education, including automated assessment systems, gamification techniques, and adaptations for remote learning environments - all aimed at enhancing student engagement and learning outcomes in technical subjects. Her technical contributions include development of specialized measurement systems for corrosion monitoring, medical diagnostics applications, and security systems including RFID-based laboratory protection and internet camera monitoring solutions, demonstrating applied research that bridges theoretical concepts with practical implementations.

Michał Malewczykمشاهده پروفایل

مدرس

• Architecture
• Architectural Composition
• Aesthetics
• +۷ مورد دیگر

mgr inż. arch. Michał Malewczyk is a Lecturer at the Department of Visual Arts within the Faculty of Architecture at Gdańsk University of Technology. His research focuses on architectural composition, visual perception of regularity in facades, and the application of computational tools like BlenderBIM in design. He also explores historical and modern trends in descriptive geometry education for architecture students. His research interests span architectural aesthetics, facade design patterns, cognitive evaluations of architectural forms, and the integration of BIM technology into design workflows. He employs interdisciplinary methods combining mathematics, neuroscience, and digital image processing to analyze architectural compositions. Key research contributions include defining regularity coefficients for facades, evaluating public perception of architectural patterns, and documenting transformations in architectural education curricula. His work often emphasizes empirical studies and statistical analysis of architectural examples, particularly in Polish residential and award-winning buildings. No grants or advisory roles for students are explicitly listed in the provided texts. Collaborations with colleagues like Piotr Czyż and Agnieszka Taraszkiewicz are evident in his publications, focusing on facade analysis and educational methodologies.

David Ramseyمشاهده پروفایل

استاد

• Decision Theory
• Game Theory
• Stochastic Optimization
• +۷ مورد دیگر

Dr. David Ramsey is a professor at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology, specializing in decision theory, game theory, and stochastic optimization. His work bridges mathematics, computer science, and behavioral economics. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Computer Science and Systems Engineering Email: david.ramsey@pwr.edu.pl Research Interests: Ramsey’s research integrates decision theory and game theory with stochastic optimization to model complex systems in behavioural economics and biological systems . Recent work explores multi-criteria decision making and urban sustainability . Publication Trends: His 2024–2020 articles span game theory applications in partnership formation, urban development analysis, and computational decision support tools. Collaborative works include interdisciplinary studies on genetic epidemiology and moral cognition in schizophrenia. Teaching & Contact: He holds regular office hours on Tuesdays and Thursdays. No scientific awards are listed in the provided data.