Tadeusz Tomczak is a faculty member at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , within the Department of Computer Engineering . His academic rank is Professor . Research Focus: Fast computational hardware, massively-parallel computing, and residue number systems. Expertise: GPU acceleration, fluid dynamics simulations, sparse geometries, and numerical methods. Recent publications highlight his work on Navier-Stokes solvers , Lattice-Boltzmann methods , and residue number systems , with applications in fluid dynamics, biomedical engineering, and high-performance computing. His research spans hardware acceleration, algorithm optimization, and computational modeling on GPUs.
Mariusz Fraś is a researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. He works within the Department of Computer Science and Systems Engineering , focusing on computational systems' performance and cloud-based architectures. His research spans database optimization, parallel processing, and mobile application frameworks. Research interests include: Computational cloud scalability and cost optimization Database application performance analysis Parallel processing frameworks Mobile sensor data processing Web content delivery efficiency His publications demonstrate expertise in cloud computing trends, with 10 peer-reviewed works since 2014. Notable collaborations include researchers like Piotr Karwaczyński and Bogdan Marczuk. Current research likely continues exploring hybrid cloud environments and software performance metrics. Contact: mariusz.fras@pwr.edu.pl , Room 301, Building C-3, Wrocław University of Science and Technology.
Jolanta Klimek-Grądzka , Professor at the John Paul II Catholic University of Lublin , is a leading scholar in Historical Linguistics with a focus on Polish borderlands language and historical stylistics . Her work spans language corpora , religious texts , and digital humanities , particularly in archival research and historical editing . As Deputy Dean for Student Affairs at the Faculty of Humanities, she bridges academic administration with scholarly rigor. Research Pillars : Kyiv Polish dialects, Orthodox linguistic traditions, historical semantics, and sociolects. Editorial Role : Secretary of the editorial board for the journal Roczniki Humanistyczne . Academic Engagement : Regular office hours via MS Teams on Tuesdays and Fridays (12:00–13:00). Her publications emphasize 17th-century Polish , including analysis of aorist forms , interconfessional dialogues , and linguistic borrowings . She contributes to digital edition planning of historical texts like the Archiwum filomatów and Żołtarz Psalter . While no scientific awards are listed, her impact on Polish language heritage is profound through over 15 recent articles (2024–2009) that explore language contact zones , religious-political rhetoric , and Baroque stylistic varieties . Her work bridges manuscript studies with modern linguistic theory , making her a key figure in Polish historical language research .
Krzysztof Walkowiak is a Professor at the Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology (PWr), where he also serves as the Dean of the Doctoral School. He leads the Computer Networks Team (ZSK) and is actively involved in multiple research projects, including Dark-Box Optimization and evolutionary methods for multi-criteria network design. A Senior Member of IEEE and IEEE ComSoc, he contributes to academic governance as a member of the Polish Academy of Sciences’ Committee on Electronics and Telecommunications. PhD in Computer Science (2000, with distinction) Habilitation in Computer Science (2008) Professor of Technical Sciences (2017) Dean of the Doctoral School, PWr (since 2020) Senior Member, IEEE and IEEE Communications Society Member, Committee on Electronics and Telecommunications, Polish Academy of Sciences His research spans computer network optimization, machine learning in networks, evolutionary algorithms, survivable optical networks, and intelligent computational techniques . He has pioneered the integration of AI methods in teleinformatics and leads initiatives in intent-based and cognitive networking. His work emphasizes multi-layer, application-aware network design and distributed processing systems. The 15 most recent publications reflect a strong trend in optimization under uncertainty, AI-driven networking, and metaheuristic algorithm development . There is a clear focus on survivability, scalability, and automation in modern network architectures, with increasing attention to edge intelligence via TinyML and cognitive systems. His recent work also addresses internationalization and pedagogical innovation in doctoral education. Fabio Neri Best Paper Award 2014 (Elsevier Journal of Optical Switching and Networking) Best Paper Award, DRCN2009 (Washington, USA) Best Paper Award, RNDM2015 (Munich, Germany) Medal of the National Education Commission (2011) Scientific Scholarship, Wrocław University of Science and Technology (2017) Star of Internationalization 2024 – Teaching Star Professor Walkowiak has supervised 10 completed PhD theses and currently mentors 5 doctoral students. He has led or managed 13 research projects funded by NCN (including 4 OPUS grants), EU, NAWA, and national agencies. His grant leadership includes the NAWA InterDocSchool project (2021–2023) and the Unite! Doctoral School curriculum development. He has reviewed over 300 journal submissions and served as session chair at 22 international conferences. He leads several research teams: Computer Networks Team (ZSK), Machine Learning Team, Advanced Data Analysis Methods Team, Metaheuristics Team, and Teaching Team . He has developed innovative educational programs such as the Research Skills course and Recent Research Trends , promoting international collaboration and doctoral training. He championed the transition to English-language instruction in the Doctoral School and promotes internationalization as a 'team sport' across institutional levels.
Marek Adamek is a researcher affiliated with the Institute of Computer Science at the Faculty of Electronics and Information Technology, Warsaw University of Technology. His institutional email is M.Adamek@ii.pw.edu.pl, and he maintains an external academic profile in the university repository. His research focuses on formal methods in software engineering, particularly temporal logic applications for code analysis. Key interests include: Line-of-code metrics and verification Kripke structure modeling Parallel programming constraints SAT solving for temporal logic (LTL) Software validation through formal methods His bibliometric profile shows 3 publications with a Scopus h-index of 1, total SNIP of 0.846, and CiteScore of 1.33. The Polish Ministry of Science awards him a cumulative score of 50 based on his research output. Awards and metrics: Scopus h-index: 1 (including autocitations) Total SNIP: 0.846 Total CiteScore: 1.33 Ministry Score: 50 He completed his PhD in 2019 with research centered on temporal logic applications in software engineering. His work bridges theoretical computer science and practical code analysis, particularly in parallel programming environments.
Maciej Smołka, PhD hab., serves as a University Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His office is located at D-17, Kawiory 21, room 2.25, and he actively contributes to academic governance through the Computer Science Discipline Council and College of the Faculty of Computer Science. His research centers on computational optimization, specializing in metaheuristics, evolutionary algorithms, and inverse problems. He addresses complex challenges in non-convex optimization, time-delay systems, and stabilization of forward solvers, with significant contributions to hierarchical memetic strategies including the pyHMS Python library. His interdisciplinary work extends to Music Informatics, where he investigates urban soundscapes as carriers of local identity and applies computational methods to musical harmonization. Recent publications (2022-2025) demonstrate advancements in auto-configured metaheuristics for engineering optimization, socio-cognitive approaches to time-delay control, and LLM-generated algorithm design. His work bridges computational intelligence with practical applications in thermal systems and Gaussian mixture modeling, while maintaining a parallel research thread on musicology and urban acoustic ecology.
Dr. Aleksander Smywiński-Pohl is an Assistant Professor at the Institute of Computer Science , Faculty of Computer Science, AGH University of Science and Technology in Kraków, Poland. He holds a PhD in Computer Science from AGH (2015) for his thesis "Automatic Information Extraction from Polish Texts" and a parallel degree in Philosophy from Jagiellonian University. His academic career includes teaching at Jagiellonian University (2007-2016) and AGH (since 2008), where he currently instructs courses in Artificial Intelligence and Natural Language Processing. His research focuses on Natural Language Processing with specialization in Polish language technologies, formal ontologies , legal text analysis, and cognitive science. Key areas include: Machine learning for low-resource languages Legal document processing (amendments, argument retrieval) Neural models for translation and classification Semantic web technologies He has supervised over 30 student theses in NLP/ML applications and contributes to national NLP evaluations (PolEval).
Maciej Woźniak serves as a university professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, actively contributing to research and teaching staff while participating in the Computer Science Discipline Council and College of the Faculty. His office is located at D-17, ul. Kawiory 21, III, 4.58, with primary contact via macwozni@agh.edu.pl. His research spans computational mathematics and high-performance computing, specializing in parallel algorithms for numerical simulations including isogeometric analysis, finite element methods, and multi-frontal solvers. Key applications address environmental challenges like hail suppression and urban smog reduction, alongside biomedical modeling of tumor growth and airborne pathogen dispersion. Methodological innovations focus on GPU acceleration, shared-memory architectures, and efficient integration techniques for partial differential equations. Analysis of his 2019-2024 publications reveals consistent advancement in parallel computational frameworks for environmental and biomedical applications, demonstrating interdisciplinary impact through experimental validation of hail cannons, smog reduction technologies, and pathogen dispersion modeling during the COVID-19 pandemic. His work bridges theoretical algorithm development with real-world problem solving across physics, engineering, and life sciences. Scientific Awards: No specific awards were documented in the provided sources. Student advising, research grants, laboratory affiliations, and educational background details beyond his PhD, DSc, and Eng. titles remain unspecified in the available materials, though his extensive publication record suggests active mentorship and collaborative research leadership.
Sebastian Ernst is a Lecturer at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków. His research focuses on Computer Science , Artificial Intelligence , and Smart Cities , with a strong emphasis on Geographic Information Systems (GIS) and Energy Efficiency in urban environments. University: AGH University of Science and Technology Faculty: Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Applied Informatics Position: Lecturer Contact: ernst@agh.edu.pl Office: C-2, 4th floor, room 424 Phone: +48 12 617 51 95 His recent publications highlight trends in Graph-Based Modeling , Smart Lighting Systems , and Robust Algorithm Design for urban infrastructure. He explores Pairwise Comparisons , GIS Applications , and Energy Conservation through computational methods.
Piotr Szymczyk is a Professor at the Department of Biocybernetics and Biomedical Engineering , AGH University of Science and Technology in Kraków. His research focuses on artificial intelligence , embedded systems , and real-time data processing , with applications in biomedical engineering, georadar analysis, and energy systems. Key research areas: Neural networks (Laplace/Z-transform), real-time systems , parallel computing , and georadar data classification Projects: NCN grants for 'Intelligent embedded systems' and 'Digital georadar data processing' His work spans embedded Linux , microcontroller programming (ARM, STM32), and wireless technologies (LoRa, Bluetooth LE). He has supervised doctoral and master's theses in these fields. Scientific awards: NCN Agreement No. 6693/B/T02/2011/40 Ministry of Science and Higher Education grant 0128/R/t00/2010/12
Franciszek Seredyński is a Professor at the Institute of Computer Science, Faculty of Natural Sciences, University of Warsaw. His research focuses on applying Deep Learning and Nature-Inspired Methods to security issues, with a primary affiliation in computer and information sciences (100% discipline). His work spans diverse subfields including cellular automata, cryptography, genetic algorithms, learning automata, parallel programming, and SQL. A tag cloud derived from publications, projects, and citations highlights specific interests such as block ciphers , distributed systems , and generalized extreme value distribution . With 73 documented publications, his bibliometric indicators include an h-index of 11 (Scopus), 7 (Web of Science), a total impact factor of 6.2, SNIP of 15.933, and CiteScore of 4. His research is accessible through identifiers like ORCID 0000-0003-0206-8183 and institutional URN urn:uph-prod:UPH550e8f0fa90b4dd7bc2f7d1b44996855 .
Marek Kopel is an Assistant Professor at the Department of Applied Informatics, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. He has held this position since 2011 and has been affiliated with the university since 2001. His teaching focuses on video games, information retrieval, and databases. Ph.D. in Computer Science Kopel's research spans game development, artificial intelligence, virtual reality, and music technology. He explores the intersection of games and AI, including real-time music adaptation in gameplay and VR interaction methods. His work also addresses procedural generation, optimization algorithms, and accessibility in educational materials. His publications highlight trends in VR immersion, game AI, and music industry analysis, often leveraging machine learning and semantic web technologies. He contributes to the organization of international conferences like ACIIDS and ICCCI. Kopel actively engages in interdisciplinary collaborations, notably through the InforMusic science club. He integrates his passion for music into research, playing instruments in university bands (WITelsi) and testing student-created games.
Dr. hab. Beata Bylina is a Professor at the Faculty of Mathematics, Physics and Computer Science , Maria Curie-Skłodowska University (UMCS) , affiliated with the Department of Information Systems Software . She specializes in high-performance computing, numerical methods, and energy-efficient parallel programming. ORCID ID : 0000-0002-1327-9747 Contact : beata.bylina@umcs.pl / beata.bylina@mail.umcs.pl Office : Room D-522 (Institute of Computer Science) or Room B-2, Akademicka Street 9, Lublin Consultations : Wednesdays 10:00–12:00 (in-person or remote via Microsoft Teams) Her research focuses on: Parallelization and vectorization techniques for multicore architectures Energy consumption optimization in numerical algorithms Matrix factorization methods (WZ, LU, QR) for CPU/GPU hybrid systems Markov chain modeling for network performance analysis Compiler optimization impact on performance and energy metrics Recent publication trends show emphasis on: Time-energy correlations in multithreaded algorithms OpenMP/OpenACC for hybrid CPU-GPU implementations Efficient sparse matrix storage schemes for GPUs Impact of hardware-specific optimizations (Xeon Phi, frequency scaling) Comparative studies of parallelization strategies
Dr. Jarosław Marcin Bylina serves as a Professor at Maria Curie-Skłodowska University in Lublin, Poland, where he leads the Department of Cybersecurity and Computational Linguistics within the Faculty of Mathematics, Physics and Computer Science. His academic profile shows active engagement in research and teaching activities with current office hours available for student consultations. His research spans critical areas in modern computing, with primary focus on High Performance Computing and Parallel Computing architectures. Specialized interests include optimization of multicore systems, Markov chain applications, sparse matrix algorithms, and energy efficiency in computational systems. His work frequently addresses challenges in Intel Xeon Phi architectures, task-based parallelism using Intel Cilk Plus, and performance analysis of distributed computing environments. Based on bibliometric analysis of his 40 publications, his research demonstrates significant impact in information technology fields with h-index values of 8 (Google Scholar), 7 (Scopus), and 4 (Web of Science). His work contributes to the broader discipline of Information and Communication Technology with particular emphasis on practical implementations in high-performance computing environments. Professional recognition includes a Total CiteScore of 20.8, Total SNIP of 7.874, and a ministerial score of 1,031 in the Polish academic evaluation system. His research output demonstrates consistent contribution to computational science with documented expertise across multiple technical domains. Available for academic consultations at Akademicka Street 9, room D-521, Lublin, with remote consultation options available through university Teams platform (code: jpq0hw9).
Bartłomiej Kotyra serves as an Assistant Professor in the Department of Information Systems Software at the Institute of Computer Science and Mathematics, Faculty of Mathematics, Physics and Computer Science, Maria Curie-Skłodowska University in Lublin, Poland. His research spans interdisciplinary domains with emphasis on: Parallel algorithms implementation using OpenMP and GPU architectures Hydrological modeling including watershed delineation and flow accumulation analysis Financial market applications focusing on forex indicators and technical analysis Dr. Kotyra has published 5 scholarly articles with a Scopus/Web of Science h-index of 3. His computational research demonstrates expertise in applying high-performance computing techniques to geospatial problems and financial market analysis, particularly in longest flow path calculations and multicore processor optimizations. His scholarly impact is reflected in a total impact factor of 14.768, SNIP of 4.92, and CiteScore of 26.3, accumulating 485 points in the Polish ministerial scoring system. Dr. Kotyra maintains regular consultation hours on Mondays from 12:15-14:15 and can be reached at room 306 (phone: 81 537 29 35) or via email.
