Michał Pióro is a Professor at the Institute of Telecommunications and Cybersecurity within the Faculty of Electronics and Information Technology at the Warsaw University of Technology. His research focuses on telecommunications, networking optimization, and resilient network design with a particular emphasis on SDN security, wireless sensor networks, and adverse weather resilience. He has published extensively in top journals and conferences including Networks and IEEE Transactions . Key research areas include: Optimization of network controller placements against targeted attacks Resilience strategies for SDN architectures MIMO-based industrial network scheduling Free-space optics (FSO) network reliability in adverse conditions Game-theoretic approaches to network security Recent work highlights joint optimization of primary/backup controllers for SDN resilience and novel scheduling techniques for industrial control traffic using Massive MIMO systems. His research frequently intersects with practical applications in critical infrastructure and 5G deployments. He has collaborated extensively with researchers from institutions like INRIA (France), Telecom ParisTech, and multiple industry partners. His work has been supported by grants focusing on resilient communication networks and cybersecurity innovations.
Professor Andrzej Kasprzak is a faculty member at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology, serving as Head of the Department of Systems and Computer Networks. His research spans machine learning, network optimization, and data stream processing, with applications in telecommunications, healthcare, and industrial systems. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Systems and Computer Networks Email: andrzej.kasprzak@pwr.edu.pl Kasprzak’s research focuses on integrating machine learning with network optimization, particularly in elastic optical networks and data stream environments. His work addresses challenges in multi-agent pathfinding, fake news detection, and 3D printing automation, emphasizing practical experimentation systems. Recent publications highlight trends in ensemble learning for real-time data streams, domain adaptation in AI systems, and innovative optimization algorithms for network traffic and scheduling problems. These contributions bridge theoretical advancements with industrial applications. As Head of Department, Kasprzak leads initiatives in systems and computer networks, fostering interdisciplinary collaboration in artificial intelligence and telecommunications. His career reflects a commitment to advancing computational methodologies in complex environments.
Dr. Hubert Zarzycki is a researcher at the Department of Computer Science and Systems Engineering within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His work focuses on computational intelligence, fuzzy systems, and algorithm design for optimization problems. Research Interests: Dr. Zarzycki specializes in Ordered Fuzzy Numbers and their arithmetic operations Swarm Intelligence algorithms (e.g., bacterial foraging, cuckoo search, firefly) Applications in financial modeling, sensor placement, and routing optimization Integration of blockchain technology for supply chain transparency Publication Trends: His research spans multiple domains including fuzzy logic, computational finance, and industrial IoT. Recent work emphasizes directional representation in fuzzy systems, robust risk management frameworks, and modular control systems for time-sensitive applications. Contact: Available at hubert.zarzycki@pwr.edu.pl
Karol Puchała is a Researcher at the Department of Systems and Computer Networks, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. He works on computer networks and machine learning, focusing on routing algorithms, concept drift detection, and software-defined networking. His research interests include: Ensemble methods in machine learning Network protocol simulation Feature extraction for multitask recognition Multicast/unicast flow optimization Software-defined networking experimentation His publications span 2006–2017 and demonstrate expertise at the intersection of network engineering and machine learning, with recurring themes in protocol analysis, adaptive systems, and algorithmic network 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.
Piotr Lechowicz is a postdoctoral researcher currently affiliated with Chalmers University of Technology, Department of Computer Science and Engineering, within the College of Engineering. Previously associated with the Department of Computer Systems and Networks (ZSK) at Wrocław University of Science and Technology, he is an active member of the Computer Networks Team and contributes to interdisciplinary research in network optimization and data analysis. His research focuses on advanced optimization techniques in computer networks, particularly in spectrally-spatially flexible optical networks. Key areas include routing, space and spectrum allocation (RSA), migration planning, and fragmentation issues. He applies multi-criteria optimization and evolutionary methods to solve complex network problems and classifier training tasks. Dr. Lechowicz is involved in significant research projects such as Dark-Box Optimization and the development of evolutionary methods for large-scale multi-criteria optimization. His work integrates machine learning, metaheuristics, and application-aware network modeling. He has been recognized with the Secundus Award for academic excellence. His scientific contributions are documented through publications and profiles on Google Scholar and ORCID. Dr. Lechowicz supervises diploma theses and contributes to academic teaching, particularly in research methodologies. He also co-organized the 'Networked Music Performance' concert in 2023, showcasing interdisciplinary collaboration. He is currently conducting a two-year postdoctoral fellowship under Professor Paolo Monti at Chalmers University of Technology, focusing on computer network optimization and automation. His research teams include the Machine Learning Team, Advanced Data Analysis Methods Team, and Metaheuristics Team.
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 Andrzej Jaszkiewicz is a faculty member at the Faculty of Computer Science and Telecommunications, Poznań University of Technology, where he works in the Institute of Informatics. He holds the position of full professor with extensive experience in multiobjective optimization and evolutionary algorithms, as evidenced by his habilitation completed in 2001 and continuous research output through 2025. Professor Jaszkiewicz's research focuses on theoretical and practical aspects of multiobjective optimization, particularly addressing the challenges of many-objective problems. His work spans quality indicator development (hypervolume, R2), efficient data structures (ND-Trees), evolutionary algorithm design, and applications to combinatorial optimization problems. His publications demonstrate consistent theoretical rigor combined with practical implementation considerations. Recent publications (2022-2025) reveal continued productivity with multiple articles in top journals like IEEE Transactions on Evolutionary Computation and Physics of Fluids. These works explore theoretical properties of quality indicators, efficient calculation methods, and novel applications of optimization techniques to complex problems including fluid dynamics. Professor Jaszkiewicz has supervised doctoral research including Tarek Alkhaeir's 2021 dissertation on software quality metrics and Marek Kubiak's 2009 work on memetic algorithms. He has also reviewed numerous doctoral dissertations in related fields, demonstrating his standing in the academic community and commitment to graduate education. His scholarly output includes journal articles, conference papers, book chapters, and two books. The 2005 edited volume 'Advanced OR and AI methods in transportation' reflects his interest in practical applications of optimization techniques. His research demonstrates sustained scholarly activity from the 1990s to the present, with particular emphasis on advancing the state-of-the-art in multiobjective optimization theory and practice.
Professor Mieczysław Jessa is a distinguished faculty member at Poznań University of Technology, serving in the Faculty of Information Technology and Telecommunications within the Institute of Multimedia Telecommunications. With a scientific discipline focused 100% on Information and Communication Technology, he has established himself as a leading researcher in random number generation, signal synchronization systems, and spectrum sensing techniques. His research interests center around hardware-based random number generators for cryptographic applications, precise synchronization of oscillators using GNSS signals, and advanced spectrum sensing methodologies. Professor Jessa's work bridges theoretical foundations with practical implementations, particularly in telecommunications security and precision timing systems. His recent publications demonstrate continued innovation in applying machine learning to spectrum sensing and developing low-complexity random number generation solutions for FPGAs. Professor Jessa maintains an active publication record with multiple articles in 2024-2025, reflecting his ongoing research contributions. His work spans both theoretical aspects of stochastic processes and practical implementations in measurement systems and secure communications. As an academic supervisor, Professor Jessa has guided doctoral research in areas including FPGA-based random sequence generation and spectrum sensing techniques, with documented supervision of three doctoral students through 2019. His technical contributions include the development of synchronization systems like the DST-16 clock distributors and SP-4000 measurement systems, demonstrating the practical application of his research in real-world telecommunications infrastructure.
Professor Wojciech Kabaciński is a distinguished academic at the Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Teleinformatics Networks. With the title of 'prof. dr hab. inż.', he holds the position of full professor with habilitation in engineering. His academic profile is marked by extensive research contributions and active supervision of doctoral students in the field of optical networking. Professor Kabaciński's research interests center on optical networks, with particular expertise in elastic optical switching, wavelength-space-wavelength switching architectures, network routing algorithms, and non-blocking network design. His work spans both theoretical foundations and practical implementations for telecommunications infrastructure and data center applications. He has made significant contributions to understanding WSW1 and WSW2 switching architectures, defragmentation algorithms, and control mechanisms for elastic optical networks. Analysis of Professor Kabaciński's recent publications (2017-2025) reveals a consistent focus on optimizing optical switching networks, with increasing emphasis on elastic optical networks and flexible switching architectures. His research demonstrates a progression from fundamental network theory to practical implementations addressing contemporary challenges in telecommunications. The trend shows growing complexity in network architectures and more sophisticated algorithms for resource allocation and connection management. Professor Kabaciński has supervised five doctoral dissertations and has been active in reviewing academic work. His research output includes 56 scientific articles, 60 book chapters, 3 books, and 14 research reports, demonstrating sustained scholarly productivity throughout his career. As an academic supervisor, Professor Kabaciński has guided doctoral students through research on simultaneous connections routing, non-blocking switching fabrics, multiplane banyan networks, self-controlling switching fields, and broadcast-capable switching architectures. His supervision reflects a commitment to advancing knowledge in optical networking while developing the next generation of researchers in the field. His current research continues to push boundaries in optical networking, with recent publications addressing cutting-edge challenges in rearrangeable wavelength-space-wavelength switches and flexible optical network architectures, positioning him at the forefront of developments in telecommunications infrastructure.
Dr. Artur Tomaszewski is an Associate Professor at Gdańsk University of Technology, working in the Department of Teleinformatics within the Faculty of Electronics, Telecommunications and Informatics. His office is located in Building A, room 149. His research interests include: Computer Networking Software-Defined Networking (SDN) Wireless Communication Network Optimization 5G Networks Network Security Dr. Tomaszewski's recent research focuses on advanced networking technologies, with particular emphasis on controller placement optimization in SDN architectures, coordinated spatial reuse in Wi-Fi networks, and network function virtualization in 5G systems. His work combines theoretical optimization approaches with practical networking applications, addressing challenges in network reliability, performance, and security. His publications from 2021-2025 demonstrate a consistent research trajectory in network optimization, with increasing focus on machine learning applications in networking and next-generation Wi-Fi standards. He has contributed to both theoretical frameworks and practical implementations in the field of computer networking. Dr. Tomaszewski collaborates with researchers internationally, as evidenced by his co-authorship on publications with scholars from various institutions worldwide. Contact information: Email: artur.tomaszewski@pg.edu.pl
mgr inż. Alicja Olejniczak serves as a Lecturer at the Department of Radiocommunication Systems and Networks within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. Her work focuses on the intersection of wireless communications and artificial intelligence, particularly applying deep learning techniques to solve challenging problems in modern radio systems. Her primary research interests include: Deep learning applications in wireless communication systems Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) identification in indoor environments Signal processing for GMSK modulation schemes Software-defined radio implementations for NB-IoT technologies Train detection using LTE reference signals Radiolocation systems and multilateration techniques Analysis of her recent publications reveals a strong trend toward applying deep learning methods to solve practical problems in wireless communications. Her work spans both theoretical development and practical implementation of algorithms for signal processing, channel estimation, and radio interface design. A significant portion of her research focuses on NB-IoT and LTE technologies, with applications ranging from Internet of Things to transportation systems like train detection. Dr. Olejniczak actively participates in multiple research projects at Gdańsk University of Technology, including: SDIDS - Software-Defined Device for Detecting and Mitigating Interferences in 4G-LTE and 5G-NR radio interfaces DUCH IoT - A software-defined, universal radio interface for intelligent IoT devices VCS-MLAT - Innovative method of aircraft locating in distributed VCS systems AEGIS - Mobile Device for Generating Electromagnetic Curtain Her laboratory work involves hands-on implementation of software-defined radio systems and conducting measurements in real-world environments to validate theoretical models. She collaborates extensively with colleagues including O. Błaszkiewicz, K. Cwalina, P. Rajchowski, and J. Sadowski on various research initiatives.
