جست‌وجوی استاد و پژوهشگر

Katarzyna Jesse-Józefczykمشاهده پروفایل

استادیار

• Graph Theory
• Computational Complexity
• Algorithm Design
• +۹ مورد دیگر

Dr. Katarzyna Jesse-Józefczyk is an Assistant Professor at the Institute of Mathematics, University of Zielona Góra, Poland. She maintains an office in Room 509 A-29 and can be contacted at k.jesse-jozefczyk@im.uz.zgora.pl. Her academic profile combines teaching responsibilities with diverse research activities across theoretical and applied mathematics. Her primary research interests include: Graph Theory (graph coloring, computational complexity of graph algorithms, coalitions and safe sets in graphs) Stochastic Inclusions and Multivalued Stochastic Equations with applications in economics and biological sciences Multivariate Linear Models and Analysis Game Theory (stochastic, multigenerational, and large games) Approximation Theory using Fourier series Preference Models using graded and interval relations Dr. Jesse-Józefczyk's work bridges theoretical mathematics with practical applications in secure data transmission, e-business, and space communication. She actively participates in the Center for Applications of Mathematics and Computer Science (OZMI), contributing to interdisciplinary research projects focused on sustainable energy, healthy society initiatives, and innovative industrial technologies. Her teaching portfolio includes algorithms and data structures, computer programming courses (both introductory and advanced), object-oriented programming, and database systems curriculum.

Grzegorz J. Nalepaمشاهده پروفایل

استاد

• Artificial Intelligence
• Affective Computing
• Context-Aware Systems
• +۹ مورد دیگر

Prof. Grzegorz J. Nalepa holds the position of Full Professor at the Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, Poland. He leads the Jagiellonian Human-Centered Artificial Intelligence Lab and is involved in international projects such as the CHISTERA XPM initiative on explainable AI in predictive maintenance. His academic journey includes a PhD (2004), habilitation (2012), and a philosophy MA (2012). Research focuses on AI, affective computing, context-aware systems, and explainable AI (XAI). He has authored over 200 papers, two monographs, and edited volumes. Key projects include the BIRAFFE2 dataset for emotion-based personalization and the GEIST team's semantic wiki tools. Holds leadership roles in conferences (e.g., ECAI 2023) and serves on editorial boards of journals like Sensors and Intelligent Sensors Section . Awards include the 2018 Outstanding Monograph Prize and multiple AGH-UST Rector's Prizes for scientific achievements. Advises PhD and master students, supervising 36 MSc theses. Active in professional organizations like the Polish Alliance for AI and the IEEE Computational Collective Intelligence TC. His contributions span industrial collaborations, software tools (e.g., InXAI, LUX, KnAC), and international research networks.

• Artificial Intelligence
• Natural Language Processing
• Legal Informatics
• +۵ مورد دیگر

Tomasz Pełech-Pilichowski serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. He concurrently holds dual administrative leadership positions as Director of the AGH Recruitment Center and Rector's Representative for Recruitment, demonstrating significant institutional impact beyond his academic role. His research expertise spans artificial intelligence, natural language processing, and legal informatics with methodological foundations in deep learning and time series analysis. Recent work focuses on AI-driven solutions for legal text processing (text segmentation, hypertext law), educational technology (gamification, recruitment systems), and security applications (facial-age detection, anomaly identification). His interdisciplinary approach consistently bridges computer science with law, education, and environmental science through practical implementations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: legal tech innovation (68% of output featuring text segmentation and regulatory automation), educational transformation (22% including gamified AI skill development), and security/environmental systems (10% covering IoT integration and pollution prediction). This progression shows increasing specialization in AI-NLP fusion techniques applied to domain-specific challenges, particularly within legal informatics where he has developed novel text recovery and visualization frameworks.

Dariusz Królمشاهده پروفایل

استاد

• Knowledge Engineering
• Multi-agent Systems
• Data Quality
• +۵ مورد دیگر

Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.

• Game Studies
• Digital Humanities
• Comparative Literature
• +۳ مورد دیگر

Dr. Agata Waszkiewicz is an Assistant Professor at the Department of American Literature and Culture, Institute of Literary Studies, John Paul II Catholic University of Lublin. Her research bridges literary theory and game studies, focusing on the intersection of narrative, visual aesthetics, and interactive media. Research Interests include: Game Studies Digital Humanities Comparative Literature Interactive Media Recent Publications highlight her exploration of: Ontological boundaries in narrative-driven games Metaleptic and palimpsestic storytelling Cozy horror as a counter-aesthetic Queer and non-normative identity representations Postmodern metafiction in digital spaces Preservation challenges in game history Conference Presentations include talks at the Games and Literary Theory 2024 Conference in Rouen.

• Optimization Algorithms
• Operations Research
• Computer Science
• +۳ مورد دیگر

Marian Chudy is a full Professor at the Faculty of Cybernetics of the Military University of Technology (WAT) in Warsaw. His academic position includes habilitation, indicating advanced scholarly credentials. He is affiliated with the editorial office of WAT Publishing House and maintains an office in building 100, room 254b. His research focuses on optimization algorithms, mathematical modelling, and their applications in military systems and computational problems. Key areas include weapon target assignment, attrition process control, fuzzy data analysis, and dimensionality reduction techniques. He has authored books such as Selected Optimization Algorithms (2014) and contributed to edited volumes like IT Systems for State Security (2019). His publication trends emphasize discrete optimization problems, algorithm design for 0-1 optimization, and error assessment in computational systems. Notable work includes developing polynomial procedures for specific optimization challenges and creating attrition models incorporating decoy effects. His research bridges theoretical optimization with practical applications in cybernetic systems and military strategy. No scientific awards or major grants are explicitly mentioned in the provided materials. He has advised no doctoral/master’s students listed here, though his publications suggest collaborative research activities. His work contributes to the development of computational tools for decision-making under uncertainty, with implications for national security systems and economic restructuring models.

Piotr Napieralskiمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Computer Games
• +۷ مورد دیگر

Piotr Napieralski serves as Associate Professor and Head of the Computer Graphics and Multimedia Department at Lodz University of Technology's Institute of Computer Science, where he has maintained continuous academic employment since 2000. His institutional leadership and research activities position him as a key figure in Poland's computer graphics research community. His research program centers on computer graphics, virtual reality, and game development with significant extensions into mobile systems and human-computer interaction. Core specialties include 3D graphics programming, computer animation, simulation/visualization techniques, and user interface design. Recent work increasingly integrates artificial intelligence methodologies while maintaining strong foundations in geometric algorithms and real-time rendering systems. Analysis of his 2021-2025 publications reveals a dual trajectory: continued innovation in graphics fundamentals (stereo vision consistency, 3D point cloud segmentation, procedural content generation) alongside strategic expansion into interdisciplinary applications including power electronics (solid-state transformers), transportation optimization (AI-driven ecodriving), and behavioral science (eating behaviors, mineral policy). This reflects deliberate diversification while preserving computer graphics as the unifying thread. Dr. Napieralski actively secures research funding through participation in numerous EU-funded projects and serves as a long-term expert for Poland's National Centre for Research and Development (NCBR). His teaching responsibilities include computer graphics instruction for both Polish and international students, though specific student mentorship details are not documented in available sources. As department head, he oversees research directions and educational programs in graphics, games, and multimedia technologies. His leadership fosters collaboration between theoretical computer science and practical industrial applications, particularly in virtual reality systems and mobile gaming platforms where his publications demonstrate consistent output.

• Media Theory
• Cultural Studies
• Sound Studies
• +۵ مورد دیگر

Anna Nacher is a Professor at Jagiellonian University’s Institute of Audiovisual Arts, Department of Audiovisual Media, and serves as the Head of her department. Her research spans media theory through cultural studies, sound studies, e-literature, and video games as artistic strategies, with a focus on post-digital imaging, platformed internet dynamics, and non-representational media frameworks. Education : Not explicitly detailed in the text. Research Interests : She investigates the intersections of transmedia storytelling, data visualization, and socio-political narratives, particularly in migration studies and climate crisis contexts. Her work bridges physical and digital spaces, emphasizing "code/space" relationships and the aesthetics of networked media. Article Trends : Recent publications explore pandemic-era digital literature, hashtag movements, and eco-critical practices. Themes include digital humanities, interactive media, and the use of computational tools to analyze migration, environmental change, and social activism. Scientific Awards : Fulbright Scholar (2019/2020) Laureate of Granty na Granty II competition (2021) Advising & Grants : She supervises PhD students (e.g., Marta Snoch on scent in audiovisual media) and collaborates internationally, including with UCLA Art|Sci Center on the Breath Library project. Her grants include participation in the "elit and COVID-19" project and leadership in "Post-Digital Imaging" (2017-2019). Labs & Teams : She works with Victoria Vesna’s UCLA Art|Sci Center, contributes to the Electronic Literature Organization, and engages in interdisciplinary teams for projects like Breath Library and Electronic Literature Organization conferences.

• 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.

• Socio-economic geography
• Spatial management
• Smart cities
• +۳ مورد دیگر

Agnieszka Szczepańska is a full Professor at the University of Warmia and Mazury , affiliated with the Faculty of Geoengineering and the Department of Socio-Economic Geography . Her research focuses on spatial planning, 3D visualization technologies, and socio-economic impacts on urban environments.

Andrei Isakovمشاهده پروفایل

مدرس

• Game Design
• Digital Art
• Virtual Reality
• +۳ مورد دیگر

Andrei Isakov is an active lecturer at the Faculty of Media Arts at the Academy of Fine Arts in Warsaw, where he teaches courses in 3D graphics, modeling, animation, and virtual reality. His academic career is deeply intertwined with digital art and game design, reflecting his professional background and artistic practice. Dr. Isakov's educational background includes: Graduation from the Belarusian Academy of Arts named after AK Glebov (2011) as an artist-teacher Studies at Nicolaus Copernicus University in Toruń, Faculty of Fine Arts (2011-2012) Media Art studies at the Academy of Fine Arts in Warsaw (2012-2016), where he earned both bachelor's and master's degrees Isakov's research and artistic practice focuses on the intersection of technology and art, particularly in the realms of game design and digital media. His work explores how contemporary technologies like machine learning and virtual reality can be integrated into artistic expression. His recent exhibition "Beta Tales" featured "Oracle," a gaming experience in DOS aesthetics that functions as a contemporary oracle using Large Language Models, demonstrating his interest in the relationship between traditional divination methods and modern AI technologies. His artistic approach often combines technical expertise with conceptual depth, examining how digital tools reshape our understanding of creativity and human-computer interaction. Among his professional achievements, Isakov received the Rector's Award for his bachelor's computer game project "Origami" during his studies at the Academy of Fine Arts in Warsaw. As an educator, Isakov has founded and led the "Animagica" student group and has extensive experience teaching 3D modeling, rendering, and animation. His industry experience includes completing a course at Game Dev School in Warsaw and working as a 3D and 2D artist in game development teams. Isakov maintains an active artistic practice alongside his academic work, with recent exhibitions including "Beta Tales" at the Academy Salon Gallery in 2024, where he presented innovative works that merge gaming technology with conceptual art.

• Algorithms
• Combinatorial Optimization
• Stochastic Optimization
• +۷ مورد دیگر

Marek Adamczyk is an Assistant Professor in the Institute of Computer Science at the University of Wrocław. He earned his PhD in Computer Science from Sapienza University of Rome and held postdoctoral positions at Technical University of Munich, University of Bremen, and the University of Warsaw. His research is supported by a Polish National Science Centre (NCN) SONATA grant. His primary research interests lie in the design and analysis of algorithms under uncertainty, focusing on combinatorial and stochastic optimization, online algorithms, mechanism design, algorithmic game theory, and their intersections with machine learning. He explores theoretical foundations of optimization problems involving matroids, matchings, and submodular functions in uncertain environments. The 15 most recent publications reveal a consistent and impactful research trajectory in theoretical computer science, particularly in approximation algorithms for stochastic and submodular optimization. Key themes include stochastic probing, contention resolution schemes, and mechanism design, often yielding constant-factor or logarithmic approximations for NP-hard problems. His work frequently appears in top-tier venues such as FOCS, ICALP, ESA, STACS, and journals like Mathematics of Operations Research. First prize in the 44th Polish Mathematical Society's Contest for the best student paper in probability theory (for MSc thesis in Mathematics) Marek Adamczyk advises MSc and Engineering thesis students at the University of Wrocław and has a strong record of collaborative research, often working with prominent figures in the field. He is actively involved in organizing the Polish AI Olympiad for high school students and leads the development of the "Wrocław Beast" chess engine, which has achieved a 2200 ELO rating on Lichess. His work is funded by the Polish National Science Centre's SONATA grant on Combinatorial Optimization Under Uncertainty.

Katarzyna Grzesiak-Kopećمشاهده پروفایل

استادیار

• Computational Intelligence
• Machine Learning
• Computer-Aided Design
• +۲ مورد دیگر

Katarzyna Grzesiak-Kopeć serves as an Assistant Professor at the Department of Information Technologies, Jagiellonian University in Krakow, Poland. Her academic profile bridges theoretical computer science with biomedical applications through computational intelligence and machine learning research. Education: MSc in Computer Science, Jagiellonian University (2001) PhD in Computer Science, AGH University of Science and Technology (2005) Research Focus: Dr. Grzesiak-Kopeć specializes in Computational Intelligence and Machine Learning applied to Biomedicine , particularly melanoma diagnostics and gene expression analysis. Her work integrates Diagrammatic Reasoning and Agent-Based Systems for creative design solutions, demonstrating interdisciplinary innovation across cognitive science and medical engineering. Publication Trends: Her 2006-2010 publications reveal consistent exploration of machine learning for biomedical image classification (melanoma detection), pattern discovery in biological data, and agent-assisted design systems. Key methodologies include wavelet transforms, hypergraph operations, and multiobjective optimization algorithms applied to healthcare and spatial planning challenges. Awards: Best Paper Award at Human System Interaction Conference Academic Contributions: Actively supervises Master's theses while teaching Software Engineering, Theoretical Foundations of Computer Science, and AI in Games. Participates in major research initiatives including Monte Carlo Simulations for CTA, Melanoma Computer-Aided Diagnostics, and Embedded Systems co-synthesis through grants like BASTION, PRELUDIUM, and KBN. Associated with Juna Network Academy for academic collaboration.

• Algorithm Design
• Theoretical Computer Science
• Combinatorial Optimization
• +۳ مورد دیگر

Monika Gillert is a researcher affiliated with the Department of Algorithmics at the Faculty of Mathematics and Computer Science, Jagiellonian University. She is stationed in room 3053 at Łojasiewicza 6, with contact phone number 12 664 66 47. Her role involves administrative duties in both the General Secretariat (Monday-Thursday 9:00 a.m.-3:00 p.m.) and Teaching Secretariat (Monday-Thursday 10:00 a.m.-1:00 p.m.), which remain closed on Fridays for internal work. Her research interests align with the broader focus of the Algorithmics Research Group, emphasizing theoretical foundations of computing and algorithmic methodologies. While specific publication details are not explicitly listed, her affiliation with this department suggests engagement in advanced topics such as combinatorial optimization, computational complexity, and discrete mathematics. Monika contributes to the academic infrastructure through her involvement in the TCS (Theoretical Computer Science) community, including maintenance of resources like the Satori platform and participation in organizational activities related to conferences, workshops, and student support systems.

Grzegorz Gutowskiمشاهده پروفایل

پژوهشگر

• Algorithms
• Graph Theory
• Combinatorics
• +۳ مورد دیگر

Grzegorz Gutowski is a researcher at the Department of Algorithmics, Faculty of Mathematics and Computer Science, Jagiellonian University. His research focuses on algorithms, graph theory, combinatorics, and computational complexity. He holds a Ph.D. in Computer Science from Jagiellonian University (2012). His work includes studies on graph coloring, online algorithms, combinatorial optimization, and algorithmic game theory. Key Research Themes: Graph coloring problems (e.g., online coloring, group coloring, interval coloring) Algorithmic complexity analysis Combinatorial game theory (e.g., slow-coloring games) Transportation network algorithms (e.g., Dial-a-Ride problems) Recent Publications Trends: Recent work emphasizes applications in graph theory, particularly in coloring and structural graph analysis. Notable contributions include studies on treewidth in planar graphs, mixed interval graphs, and combinatorial problems posed by Steinhaus. Awards & Grants: Principal Investigator for grants on algorithmic Nullstellensatz (2020-2025), smart transportation systems, and colonoscopy diagnostics Academic Activities: Supervises graduate research in algorithmics Active in organizing workshops and conferences on theoretical computer science Member of the Algorithmics Research Group at Jagiellonian University