Maciej Malawski is an Associate Professor at the Department of Computer Science, AGH University of Science and Technology, and Research Team Leader at the Sano Centre for Computational Medicine in Kraków, Poland. He holds a PhD in Computer Science (2009) and MSc degrees in Computer Science (2001) and Physics (2004). His research focuses on parallel/distributed computing, cloud technologies, and biomedical applications, with contributions to federated learning, serverless computing, and scientific workflow optimization. Education: PhD in Computer Science, AGH University (2009) MSc in Physics, Jagiellonian University (2004) MSc in Computer Science, AGH University (2001) Research Interests: Parallel computing, cloud infrastructures, serverless systems, federated learning, biomedical data analysis, and workflow scheduling. His work bridges computational methods with healthcare, such as federated learning for medical imaging and sensitivity analysis in cardiovascular models. Publications & Awards: Over 50 international publications, including top-tier venues like SC, IPDPS, and IEEE Cluster. Recognitions include the 2018 AGH Rector’s Award, Publons Peer Review Award (2018), and 1st place in the Executable Paper Grand Challenge (2011). Labs & Affiliations: Director of Sano, senior researcher at ACC Cyfronet AGH, and collaborator with CERN. Leads projects on HPC/Cloud integration and scientific computing for medicine.
Aleksander Byrski is a Full Professor at AGH University of Science and Technology, serving as Deputy Dean for Research and Cooperation in the Faculty of Computer Science, Electronics and Telecommunications. He is also an active member of the Council of Information Technology and Telecommunications and Deputy President of the Try IT Foundation. His research focuses on nature-inspired computing, agent-based distributed computation, artificial intelligence, and parallel/distributed computing and simulations. Byrski's work spans optimization algorithms, high-performance computing frameworks, and applications in urban traffic simulation, healthcare, and engineering. His research interests emphasize scalable agent-based systems, socio-cognitive metaheuristics, and their practical implementations in solving complex real-world problems. Key contributions include advancements in ant colony optimization, evolutionary multi-agent systems, and distributed computing paradigms. Byrski actively bridges theoretical computer science with applied domains such as traffic management, epidemic modeling, and smart city technologies. Articles from 2023–2025 highlight his focus on hybrid metaheuristics, socio-cognitive algorithms, and optimization for time-delay systems. Notable themes include improving algorithm efficiency through migration strategies, leveraging two-dimensional pheromone models, and exploring open/closed source frameworks for large-scale optimization. His work often addresses scalability challenges in HPC environments and real-time systems. Byrski has received no explicitly mentioned scientific awards but is recognized for his leadership roles in academic and industry collaborations. His advising and grants are not detailed here but reflect ongoing research in agent-based computing and functional programming paradigms. He contributes to interdisciplinary teams advancing computational intelligence and societal applications such as epidemic simulation and smart infrastructure.
Paweł Malczyk is an Associate Professor and Head of the Department of Theory of Machines and Robots at the Faculty of Power and Aeronautical Engineering, Warsaw University of Technology. He holds a D.Sc. (habilitation), Ph.D., and M.Eng. His research focuses on multibody systems, optimal control, data-driven modeling, and high-performance computing. He leads the division and oversees research in kinematics, dynamics, and control of complex systems. Key research interests include multibody dynamics simulation, optimal control methods, parallel computing, and applications of machine learning in system modeling. His work emphasizes algorithm development for efficient dynamics simulations and real-time control. Selected articles span topics like neural-network-based inverse dynamics, divide-and-conquer algorithms, and FPGA acceleration. His contributions address both theoretical advancements and practical implementations in robotics and mechanical systems. Malczyk teaches courses on automation, control systems, and multibody dynamics. His lab focuses on computational mechanics and real-time systems, with ongoing projects in parallel algorithms and data-driven control strategies.
Professor Mieczysław Wodecki is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, where he is a member of the Department of Telecommunications and Teleinformatics. He holds a DSc and PhD and is actively engaged in research and teaching. Research Interests: His work centers on discrete optimization, scheduling problems, and methods for solving NP-hard problems. He applies parallel computing and probabilistic models to challenges in project management and automation in construction. His research bridges theoretical computer science with industrial engineering applications, particularly in manufacturing and production systems. The recent publications highlight a strong focus on cyclic job shop and flow shop scheduling, with an emphasis on parallel algorithms and metaheuristics. These works contribute to the optimization of manufacturing processes, especially in cyclic and flexible production environments. Scientific Contributions: While no specific awards are listed, his extensive publication record in reputable journals such as Computers & Industrial Engineering and Bulletin of the Polish Academy of Sciences: Technical Sciences reflects sustained scholarly impact. Advising and Grants: Information on students advised or research grants received is not available in the provided text. Laboratories and Teams: He collaborates closely with researchers including W. Bożejko, J. Pempera, and A. Gnatowski, contributing to a research group focused on discrete systems and scheduling optimization. His work appears in special issues dedicated to discrete systems, indicating active participation in thematic research initiatives.
Dominik Żelazny is a researcher at the Faculty of Information and Communication Technology, Department of Computer Engineering, Wrocław University of Science and Technology. He focuses on scheduling algorithms and multi-objective optimization using evolutionary computation methods. Current position: Researcher Primary affiliation: Department of Computer Engineering Research interests include: Development of evolutionary algorithms for scheduling problems Multi-criteria and multi-objective optimization GPU-accelerated computing using CUDA Parallel and distributed algorithm design Industrial applications of operational research
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.
Dr. Kateryna Czerniachowska is a Lecturer at the Department of Process Management, Wrocław University of Economics. She specializes in logistics optimization, heuristic algorithms, and supply chain management. Her work focuses on solving complex problems such as order-picking efficiency, shelf space allocation, and inventory distribution in retail and warehouse systems. She is fluent in English, Polish, Russian, and Ukrainian. Her research emphasizes mathematical modeling for retail networks and warehouse layouts, incorporating innovative heuristics like Flower Cutting and Mushroom Picking algorithms. Recent studies address sequence-dependent constraints in conveyor systems and multi-axial product categorization. She actively collaborates with industry to apply these methods in practical settings. Her publications span optimization frameworks for space allocation, scheduling TV advertisements via genetic algorithms, and predicting public transportation delays using machine learning. She maintains active profiles on ResearchGate and ORCID. Consultations are available via Microsoft Teams upon prior arrangement via email. She contributes to pedagogical activities focused on operational research and logistics systems design.
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.
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.
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 .
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).
Professor Jerzy Brzeziński is a distinguished academic at Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Computer Science. With a career spanning several decades, he has established himself as a leading researcher in distributed systems and networking, maintaining active research productivity with publications as recent as 2022. Professor Brzeziński's research interests focus on distributed systems, peer-to-peer networks, service-oriented architecture, mobile ad hoc networks, and distributed shared memory systems. His work bridges theoretical foundations with practical applications, particularly in areas like gaming platforms, secure data exchange, and reliable communication protocols. Recent publications demonstrate continued innovation in sybil-proof data exchange mechanisms and broadcast protocols for mobile networks. Analysis of his publication trends reveals an evolution from foundational work on memory systems and consistency models in the early 2000s toward more applied research in peer-to-peer systems, gaming applications, and sustainable computing in recent years. His work consistently addresses core challenges in distributed computing while adapting to emerging technological contexts. Professor Brzeziński has supervised at least 10 doctoral students throughout his career, including Andrzej Stroiński, Michał Kalewski, and Łukasz Piątkowski. His mentorship has produced significant contributions to the field, with students researching topics like Petri Net models, reliable broadcast protocols, and server synchronization. His research is characterized by strong collaborative networks, frequently working with colleagues at Poznań University of Technology and former students. This collaborative approach has resulted in numerous high-impact publications in reputable journals and conference proceedings across the distributed systems domain.
Professor Dariusz Horla is a faculty member at the Faculty of Automation, Robotics and Electrical Engineering at Poznań University of Technology, where he works in the Institute of Robotics and Machine Intelligence. He holds the title of Professor with a habilitation degree (dr hab. inż.) in automation and control engineering. His research focuses on advanced control systems, particularly anti-windup compensation techniques, model predictive control applications for nuclear power plants, UAV control systems, and fractional-order controllers. Professor Horla has published extensively across these domains, with recent work addressing challenges in cooperative control systems, optimization methods for control applications, and practical implementations of advanced control algorithms in real-world systems. Analysis of his recent publications (2015-2025) reveals a strong emphasis on practical control applications, particularly in nuclear power plant systems and unmanned aerial vehicles. His work bridges theoretical control methods with industrial implementation challenges, often focusing on optimization approaches and stability considerations in constrained systems. Professor Horla has supervised multiple doctoral students and has developed significant educational materials in control systems and automation. His intellectual property contributions include inventions related to UAV height control systems, demonstrating the practical impact of his research. His academic service includes participation in habilitation committees and development of educational materials that have shaped control engineering education at Poznań University of Technology.
