Wojciech Thomas is a Lecturer at the Department of Applied Informatics, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. He teaches courses including Technologies Supporting Software Development (DevOps) , Cloud Computing , and Script Languages . Since 2016, he has directed the postgraduate program Computer Network Administration , designed for professionals seeking advanced knowledge in network/server management. His research focuses on DevOps, cloud technologies (AWS/Azure), automation of complex IT environments, web applications, and software engineering. He has published on topics ranging from task scheduling algorithms to trends in software engineering education. His publications (2000–2021) reflect interdisciplinary work in computer science, operations research, and educational methodology. Common themes include optimization algorithms, cloud infrastructure, and academic curriculum development.
Dr. Eng. Wojciech Kmiecik is a researcher at the Department of Computer Systems and Networks, Faculty of Electronics, Photonics and Microsystems, Wrocław University of Science and Technology. He is actively involved in multiple research teams including Machine Learning, Computer Networks, Advanced Data Analysis Methods, and Metaheuristics. He also contributes to teaching and supervises diploma theses. His research focuses on optical networks , survivable multicasting , multi-criteria optimization , and metaheuristic algorithms . He has led and contributed to projects such as Dark-Box Optimization, evolutionary multi-criteria optimization, and advanced methods for multi-layer networks. His work bridges theoretical algorithm development with practical network design. The publication trends from 2010 to 2020 show a consistent focus on network survivability , elastic optical networks , and task allocation in parallel systems . His research integrates optimization techniques into networking solutions, particularly in dual homing architectures and deadline-sensitive provisioning. Key themes include resilience, efficiency, and scalability in both optical and computational systems. Scientific Awards: Medal for long-standing service to Wrocław University of Science and Technology Dr. Kmiecik has supervised diploma theses and is involved in teaching. He has not received externally reported grants, but his sustained project involvement suggests institutional or collaborative funding. He collaborates extensively with Prof. Krzysztof Walkowiak and other researchers in the department. Research Labs and Teams: Machine Learning Team Teaching Team Computer Networks Team Advanced Data Analysis Methods Team Metaheuristics Team
Dr. Eng. Marcin Markowski is a researcher at the Department of Computer Systems and Networks, Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology. His work focuses on computer network design, optimization, and security, with an emphasis on cloud computing, elastic optical networks, and distributed systems. Faculty: Computer Science and Telecommunications Department: Computer Systems and Networks Email: marcin.markowski@pwr.edu.pl His research spans network optimization algorithms (ant colony, tabu search), industrial IoT applications, and security protocols. Articles demonstrate expertise in WAN-based resource allocation, SDN laboratory development, and sustainable logistics through WiFi-based monitoring systems. Key trends in his publications include heuristic methods for elastic optical networks, multi-criteria replica placement in wide area networks, and cloud computing efficiency analysis. He integrates algorithmic innovation with practical applications in industrial and telemedicine contexts. The Software Defined Networking Research Laboratory at WUST features prominently in his experimental work on network topologies and scenarios. No explicit information is available on teaching roles, awards, or grants.
Prof. Wojciech Bożejko is a Professor at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His research focuses on optimization algorithms, scheduling theory, and quantum computing applications in discrete optimization problems. He has contributed extensively to the development of metaheuristics for solving complex scheduling challenges, including cyclic job shop, flow shop, and single-machine scheduling under probabilistic or uncertain conditions. Notably, his recent work explores quantum annealing techniques on D-Wave systems for tackling knapsack problems and flow shop scheduling. Prof. Bożejko has also co-edited special issues on discrete systems and authored over 50 peer-reviewed articles in journals like *Computers & Industrial Engineering* and *Archives of Control Sciences*. His methodologies emphasize parallel computing approaches to enhance solution efficiency. Research Interests: - Quantum Computing Applications in Optimization - Metaheuristic Algorithms (Tabu Search, Simulated Annealing) - Cyclic and Flow Shop Scheduling - Stochastic and Robust Scheduling - Parallel Computing for Discrete Optimization Advising & Grants: While no specific grants or advisees are listed, his research outputs indicate significant contributions to collaborative projects in scheduling optimization and quantum computing applications. His work often involves interdisciplinary collaborations, such as with the Wrocław Centre for Networking and Supercomputing. Labs/Teams: Affiliated with the Department of Control Systems and Mechatronics, contributing to research groups focused on automation, discrete systems, and advanced optimization techniques.
Dr. Eng. Jarosław Rudy is an Assistant Professor at the Wrocław University of Science and Technology, affiliated with the Department of Automatic Control, Mechatronics and Control Systems under the Faculty of Computer Science and Telecommunications. He completed his Master of Science in Engineering in 2011 and earned his Ph.D. in technical sciences in 2016, focusing on computational models and programming languages for software evolution and adaptation. His research spans operations research, task scheduling, discrete optimization, quantum computing, machine learning, metaheuristic algorithms, computational complexity, and vehicle routing . He has authored over 45 scientific publications and teaches more than 30 courses, including Computer Automation Systems and Trusted Artificial Intelligence Systems , with a focus on laboratory and lecture-based education. Rudy leads the Discrete Systems Laboratory, supervises over 30 graduate theses, and contributes to advanced optimization techniques and data structures curricula. His work integrates computational theory with practical applications in parallel computing and multi-criteria optimization.
Vassilis D. Papaefstathiou is a researcher in computer architecture and high-performance computing, affiliated with the Department of Computer Science at the University of Crete and the Institute of Computer Science at FORTH-ICS. His work focuses on energy-efficient manycore systems, network-on-chip design, FPGA prototyping, and RDMA-based communication. His educational background includes a Ph.D. (2013), M.Sc. (2005), and B.Sc. (2002), all from the University of Crete. His research spans advanced topics in computer systems, including hybrid memory management, cache optimization, and scalable interconnects. His research interests include Computer Architecture , Network-on-Chip (NoC) , Reconfigurable Computing , Energy-Efficient Computing , RDMA , and High-Performance Computing . He has made significant contributions to FPGA-based prototyping of manycore systems and low-latency interconnects. His recent publications demonstrate a strong trend in optimizing on-chip networks, memory hierarchies, and communication mechanisms for performance and energy efficiency. Key areas include dual data-rate NoCs, hybrid memory systems with intelligent data migration, and RDMA-enhanced architectures. His work often integrates hardware-software co-design principles for scalable and efficient computing. HiPEAC Paper Award (2012) HiPEAC Paper Award (2016) HiPEAC Paper Award (2017) HiPEAC Paper Award (2020) Best Paper Award Finalist at IEEE/ACM NOCS 2018 He has advised several researchers and students, including Antonis Psistakis, Evangelos Vasilakis, and Ahsen Ejaz, who have co-authored significant publications with him. His collaborative projects include SARC, ExaNeSt, and ECOSCALE, often funded by EU initiatives or research councils. These projects focus on next-generation HPC systems, reconfigurable computing, and scalable architectures. He is a key contributor to the Formic FPGA prototyping platform and has worked extensively on RDMA-capable NICs, cache-integrated network interfaces, and virtualized communication systems. His work is deeply embedded in international research consortia and high-impact venues.
Jordi Mongay Batalla serves as Associate Professor in the Department of Computer Network and Services at Warsaw University of Technology's Faculty of Electronics and Information Technology, while concurrently holding the position of Deputy Director of Research at Poland's National Institute of Telecommunications. His professional influence extends to critical national and international advisory roles including technical membership in the European Blockchain Services Infrastructure, Polish Government adviser for 5G cybersecurity legislation, and technical adviser to the Ministry of Infrastructure for autonomous automotive systems. M.Sc. in Telecommunications Engineering (2000, Universitat Politecnica de Valencia) Ph.D. in Telecommunications (2009, Warsaw University of Technology) Habilitation in Telecommunications (2017, Warsaw University of Technology) His research program centers on next-generation network technologies with dual focus on infrastructure (5G/6G radio systems, O-RAN architectures, SDN/NFV) and applications (IoT ecosystems, Smart Cities, multimedia services). Recent work demonstrates expanding interdisciplinary reach into human-centric domains including metaverse applications for elderly populations and psychological aspects of technology adoption, reflecting his completion of postgraduate studies in psychology and social sciences. Methodologically, he integrates artificial intelligence techniques across wireless networking domains with particular emphasis on security and reliability. Analysis of recent publications (2023-2025) reveals three dominant research trajectories: (1) O-RAN optimization through machine learning-enhanced beamforming and security validation, (2) resilient UAV network architectures for disaster scenarios featuring novel clustering algorithms, and (3) IoT-cloud integration for healthcare and smart city applications. His work consistently addresses practical implementation challenges while maintaining strong connections to standardization efforts through ITU-T SG-12 and European regulatory frameworks. Dr. Mongay Batalla leads the Next Generation Mobile Networks Team at Warsaw University of Technology and has coordinated over 30 national/international research projects including four EU ICT Programme initiatives. His technology transfer activities span two patents (Polish and European) and active participation in the vINCI platform for clinically-validated assisted living solutions. As an IEEE Member since 2010, he maintains strong industry connections through roles in Polish normalization committees and international technical groups.
Dr. hab. Anna Grześ is a Professor in the Department of Operational Management at the Institute of Management, University of Białystok. She serves as Head of Postgraduate Studies in Human Resources Management and previously held leadership positions including Head of the Department of Economics and European Studies at the Vilnius Branch of the University of Bialystok. Her academic career includes a three-month research internship at Yanka Kupala State University in Grodno, Belarus in 2018. Her research focuses on labor economics with particular emphasis on outsourcing effects, labor productivity, flexible employment forms, and the impact of Industry 4.0 on labor markets. She has published extensively on these topics in Polish and international journals, with recent work examining the intersection of pandemic effects and digital transformation on European labor markets. Her 15 most recent publications reveal a consistent research trajectory examining how technological change, particularly Industry 4.0, is reshaping employment structures, labor costs, and productivity in Polish enterprises. The publications span multiple disciplinary perspectives including economics, management, and public administration, with increasing attention to digital transformation's societal impacts. As an active educator, she teaches economic analysis, financial management, job analysis, staff selection methods, and payroll management at both undergraduate and graduate levels. She also supervises Master's seminars. Member of University Team for Quality of Education Member of Consultative Council at Institute of Management Expert for Polish Agency for Enterprise Development Expert for Market Research and Analysis Center Her professional activities demonstrate strong engagement with both academic research and practical applications in human resources management, with particular focus on how technological transformation is reshaping employment relationships and enterprise management practices in Poland.
Agnieszka Monika Jakóbik is an Assistant Professor at the Department of Computer Science within the Faculty of Computer Science and Telecommunications at Jagiellonian University. She holds a PhD (2007) and specializes in Information and Communication Technology (ICT), focusing on cloud security, cloud computing architectures, scheduling algorithms, and neural network applications. Her research interests include optimizing task scheduling in computational clouds, leveraging artificial intelligence for security, and big data modeling. She has contributed to over 40 publications and supervised 2 promoted theses. Her work has been recognized with an h-index of 11 (Web of Science) and a Total Ministerial Score of 2,083. Dr. Jakóbik is affiliated with the university’s research initiatives in distributed computing and monitoring systems. She maintains an ORCID profile (0000-0003-4568-3944) and can be contacted via ajakobik@pk.edu.pl.
Urszula Olejnik serves as an Assistant Professor in the Department of Pedeutology and Health Education at the Faculty of Pedagogy and Psychology, Maria Curie-Skłodowska University in Lublin, Poland. Her academic work focuses on special education and disability studies with particular emphasis on attitudes toward individuals with disabilities, motor development in children with autism, and health education. Her research interests span multiple critical areas in contemporary educational psychology: Attitudes toward people with disabilities, particularly visual impairments Motor development and physical activity of children with autism spectrum disorders Family functioning with children exhibiting food selectivity Humor sense styles among educators School well-being of students and teachers, especially during challenging periods like the pandemic Her work bridges theoretical frameworks with practical educational applications, addressing both individual student needs and broader systemic challenges in inclusive education. Analysis of her publication record reveals a consistent focus on disability acceptance, social attitudes, and educational adaptation. Her most recent work examines pandemic impacts on student well-being, while earlier publications establish her expertise in autism-related motor development and visual impairment studies. The research demonstrates methodological diversity including quantitative assessments of social attitudes, pilot studies on humor styles, and comparative analyses of retrospective versus real-time well-being measurement. Her notable achievements include: Distinction in the nationwide 'Otwarte Drzwi' competition for best doctoral thesis (2017) Recognition as Best Academic Lecturer 2017/2018 by the Student Council Active participation in significant research projects including 'School well-being of students and teachers in the context of future tasks' and 'Teacher tailored to the 21st century' Dr. Olejnik actively contributes to educational development through her involvement in the Operational Program Knowledge Education Development. Her consultation schedule indicates strong student engagement with both in-person and remote office hours during the 2024/2025 academic year, reflecting her commitment to academic mentorship and accessibility.
Tomasz Winiarski is an Assistant Professor at the Institute of Control and Computation Engineering, part of the Faculty of Electronics and Information Technology at Warsaw University of Technology. His research focuses on robotic systems design, control systems engineering, and cyber-physical systems. He has contributed to projects involving ROS-based robotic frameworks, SysML metamodeling, and assistive robotics applications. Education: PhD in Automation and Robotics (2009). Research interests include: Robot Operating System (ROS) and metamodeling frameworks Impedance-controlled manipulators and human-robot interaction Cyber-physical systems design and validation Multi-agent robotic systems and task scheduling Awards include the Rector's Award for Scientific Achievements (2015) and the Medal of the National Education Commission (2018). He has published extensively on topics ranging from robotic control architectures to hardware-software co-design strategies. Key projects include the development of the MeROS metamodel, the Rico assistive robot platform, and the TaskER scheduling framework. His work emphasizes practical applications of robotics in industrial and healthcare contexts.
Emil Łukasz Benedykciuk serves as an Assistant Professor in the Department of Information Systems Software at Maria Curie-Skłodowska University's Faculty of Mathematics, Physics and Computer Science in Lublin, Poland. His academic profile shows active engagement in both teaching and research activities within the computer science domain. His primary research interests focus on computer vision, pattern recognition, and deep learning applications, particularly in medical imaging. Specializing in convolutional neural networks, he develops architectures for analyzing brain MRI scans with emphasis on detecting and segmenting neoplastic changes. His technical expertise includes Python and TensorFlow development for medical image analysis tasks including material and tissue recognition in digital radiography images (MRI, CT, X-ray). Benedykciuk maintains an active research presence with projects visible on GitLab related to Differentiable Architecture Search implementations. His scholarly output includes 3 publications with an h-index of 2 (Google Scholar) and a total ministerial score of 210. His research falls entirely within information and communication technology (ICT) discipline according to institutional classification. ORCID: 0000-0002-1542-6747 Personal website: https://conv-nets.pl/ GitLab repository: https://gitlab.com/emil-benedykciuk/ He holds consultations on Wednesdays from 11:00-12:00 and 15:15-16:15 in room 506 at Akademicka Street 9 in Lublin, requiring advance email scheduling with topic details for efficient use of time.
Professor Mariusz Uchroński is affiliated with Wrocław University of Science and Technology (WUST) as a faculty member in the field of discrete optimization and high-performance computing. His research focuses on advanced computational methods including parallel and distributed algorithms, quantum computing, and task scheduling optimization. Research Interests: He specializes in developing efficient algorithms for complex computational problems, with applications in high-performance computing environments and emerging quantum computing paradigms. His work addresses optimization challenges in parallel/distributed systems and task scheduling methodologies. Contact Information: Email: mariusz.uchronski@pwr.edu.pl Phone: +48 71 320 2456 Office: Z. Janiszewskiego Street 11/17, Wrocław, building C-3, room 214 Consultations: Mondays 16:00-18:00
Alexandre Dolgui is Distinguished Professor and Head of the Department of Automation, Production and Computer Sciences at IMT Atlantique in Nantes, France. He serves as Editor-in-Chief of the International Journal of Production Research and has established himself as a leading researcher in production and supply chain optimization. His academic career spans multiple institutions including Jean Monnet University and University of Lorraine Mines Nancy, with a visiting professorship at the Chinese Academy of Sciences. PhD in Industrial Engineering, University of Technology of Compiègne (2000) Doctorate in Computer Science and Control, National Academy of Sciences of Belarus (1990) Bachelor in Automated Data Processing and Management Systems, Belarusian State University of Informatics and Radioelectronics (1986) Dolgui's research primarily focuses on manufacturing line design, production planning and scheduling, and supply chain optimization. His work bridges theoretical operations research with practical industrial applications, particularly in the context of Industry 4.0 and sustainable manufacturing. He has pioneered approaches to address challenges in assembly line balancing, reconfigurable manufacturing systems, and resilient supply chain design under uncertainty. His research integrates mathematical programming, optimization techniques, and increasingly, artificial intelligence methodologies to solve complex production and logistics problems. An analysis of his recent publications reveals a strong emphasis on supply chain resilience, particularly regarding the ripple effect of disruptions, digital supply chain twins, and sustainable manufacturing practices. His work increasingly incorporates AI and machine learning techniques while maintaining strong theoretical foundations in operations research. The interdisciplinary nature of his research connects industrial engineering with computer science, economics, and environmental sustainability. Highly Cited Researcher 2022, 2023, and 2024 by Clarivate Best Paper Award for 2023 by Omega Fellow of IISE (Institute of Industrial and Systems Engineers) As Editor-in-Chief of the International Journal of Production Research, Dolgui has significantly influenced the field's research direction and quality standards. His leadership extends to organizing major conferences including the IFAC Symposium on Information Control Problems in Manufacturing (INCOM). His research group maintains strong international collaborations, particularly with researchers from China, Russia, and other European institutions, securing funding for projects addressing contemporary manufacturing and supply chain challenges. Dolgui leads the Alexandre Dolgui Lab at IMT Atlantique, which focuses on production systems engineering and supply chain management. The lab maintains strong industry partnerships and participates in European research networks addressing advanced manufacturing challenges. Current research directions include Industry 5.0 applications, human-robot collaborative systems, and sustainable supply chain design, reflecting the lab's commitment to addressing both theoretical and practical challenges in modern production environments.
Jan Weglarz is a Professor and Director at the Institute of Computing Science, Poznan University of Technology. A full member of the Polish Academy of Sciences, his research focuses on scheduling in computer/manufacturing systems, grid resource management, and energy-aware computing. Authored 15 monographs and 250+ publications. Honors include honorary doctorates from seven universities. Research contributions span deterministic scheduling, multiprocessor task allocation, and metacomputing.
