Professor Piotr Małka is affiliated with the Krakow University of Technology as a faculty member in the Department of Infotronics and Cybersecurity under the Faculty of Electrical and Computer Engineering . His work focuses on robotics, mechatronics, and infrastructure monitoring. Academic Rank: Professor Contact: piotr.malka@pk.edu.pl Research interests span mobile robot design for pipeline inspection , SLAM techniques in rough terrain, and intelligent infrastructure systems. His publications demonstrate expertise in: Robot kinematics and dynamics Control systems for tracked robots Structural health monitoring Smart water supply infrastructure Virtual prototyping of inspection systems Recent work shows increasing focus on autonomous navigation and cyber-physical systems integration for industrial applications.
Dr. Eng. Marek Daniel Dudzik serves as a Lecturer in the Department of Infotronics and Cybersecurity at the Faculty of Electrical and Computer Engineering, Cracow University of Technology. His academic profile demonstrates a strong research focus on artificial intelligence applications across diverse engineering domains, with particular expertise in neural network modeling for complex physical systems. Dr. Dudzik's research interests span multiple engineering disciplines, with primary focus on applying neural networks to solve challenging problems in materials science, particularly regarding aluminum foams and cellular materials under compression. His work bridges theoretical neural network development with practical applications in building automation systems, environmental monitoring, and mining engineering. The research portfolio reveals a consistent pattern of interdisciplinary work connecting electrical engineering principles with computational intelligence techniques. The publication record shows a clear trend toward increasingly sophisticated neural network applications across multiple domains. Early work focused on traction systems and electrical engineering applications, while more recent publications demonstrate expansion into building automation, environmental monitoring, and materials science. The research methodology consistently employs neural networks to model complex physical phenomena that are difficult to characterize through traditional analytical approaches, with particular emphasis on practical implementation and verification of results. Dr. Dudzik's work demonstrates strong connections between theoretical neural network development and practical engineering applications across diverse fields. His collaborations span multiple departments and institutions, reflecting the interdisciplinary nature of his research. The publication record indicates active participation in both theoretical development and practical implementation of neural network solutions for complex engineering problems.
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 Demenko is a distinguished academic at Poznań University of Technology, where he holds a position in the Institute of Electrical Engineering and Industrial Electronics within the Faculty of Automatic Control, Robotics and Electrical Engineering. He serves as Chairman of the Committee on Electrical Engineering of the Polish Academy of Sciences, demonstrating his significant standing in the national academic community. His career spans several decades, beginning with his doctoral dissertation in 1975 on modeling magnetic circuits of electrical machines using potential field analyzers. Professor Demenko's research focuses on computational electromagnetics, electrical machine analysis and design, finite element methods, and power system safety. His work particularly emphasizes permanent magnet synchronous motors, field-circuit coupling approaches, and electromagnetic phenomena in nonlinear circuits. He has made significant contributions to understanding squirrel cage design in motors, temperature effects on motor performance, and the development of numerical methods for electromagnetic field calculations. Analysis of his recent publications (2015-2024) reveals a continued focus on advanced electrical machine design, particularly permanent magnet synchronous motors, with increasing attention to optimization techniques, thermal effects, and control strategies. His work consistently combines theoretical developments with experimental validation, demonstrating practical relevance alongside theoretical rigor. Professor Demenko has supervised five doctoral dissertations to completion and has reviewed numerous others, indicating his commitment to academic mentorship. His publication record is substantial, with 65 articles, 61 book chapters, and 11 books or edited volumes spanning several decades of research. As an active researcher, Professor Demenko continues to contribute to the field through ongoing projects, editorial work for international conferences like the Electromagnetic Phenomena in Nonlinear Circuits (EPNC) symposium series, and collaborations with researchers worldwide. His work bridges theoretical developments in computational electromagnetics with practical applications in electrical machine design and power system safety.
Professor Andrzej Frąckowiak is a distinguished academic at Poznań University of Technology, holding a position in the Faculty of Environmental and Energy Engineering within the Institute of Thermal Energy. With a scientific profile split between Environmental Engineering (75%) and Civil Engineering (25%), he represents a key figure in thermal engineering research in Poland. His career spans over two decades since completing his dissertation in 2000, with significant milestones including his habilitation in 2010 on inverse heat conduction problems. Professor Frąckowiak's research interests center on heat transfer, thermal engineering, and inverse problems, with recent work expanding into sustainable aviation technologies, hydrogen combustion, and advanced thermomechanical analysis. His scholarly output includes 59 scientific articles, 31 book chapters, 6 books, and numerous research reports demonstrating consistent productivity and relevance in his field. Notably, his 2024-2025 publications show continued active engagement with cutting-edge research topics. The publication trends reveal a strong theoretical foundation in mathematical methods for thermal engineering that has evolved to address contemporary challenges in sustainable energy systems. His work bridges fundamental research in inverse heat conduction problems with practical applications in aircraft engines, biomass boilers, and military systems. Recent publications increasingly focus on environmental sustainability through research on sustainable aviation fuel and hydrogen combustion technologies. Primary affiliation: Faculty of Environmental and Energy Engineering, Poznań University of Technology Supervised 5 doctoral dissertations (2014-2022) Reviewed multiple doctoral works Active research funding evidenced by numerous research reports Professor Frąckowiak maintains an active research laboratory focused on thermal energy systems, with ongoing projects related to sustainable aviation, advanced combustion technologies, and thermal modeling. His collaborative approach is evident through extensive co-authorship networks within the university and across different engineering disciplines, facilitating interdisciplinary research that addresses complex energy challenges.
Professor Mariusz Głąbowski is a distinguished academic at Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Teleinformatics Networks. With a habilitation degree completed in 2009 and professorship title, he has established himself as a leading expert in teletraffic engineering and network modeling. His research interests span multiple critical areas of modern telecommunications, with particular focus on elastic optical networks, 5G/6G mobile network technologies, call admission control mechanisms, and traffic modeling. Recent publications demonstrate expansion into cybersecurity aspects of IoT systems in smart cities and space communication security within integrated networks. Professor Głąbowski's work combines rigorous mathematical modeling with practical network engineering applications. The trends in his recent publications (2021-2025) show a clear evolution from traditional teletraffic engineering toward next-generation network technologies. His work on elastic optical networks represents approximately 40% of recent output, while 5G/6G research constitutes about 30%, with the remainder focused on IoT, cybersecurity, and space communication applications. This demonstrates both continuity in his core expertise and strategic expansion into emerging fields. Professor Głąbowski has supervised four doctoral dissertations to completion, mentoring researchers who have gone on to contribute significantly to the field. His doctoral students include Damian Kmiecik (2021), Monika Grajzer (2016), Michał Dominik Stasiak (2016), and Maciej Sobieraj (2014). His supervision approach emphasizes both theoretical rigor and practical application, as evidenced by his students' research topics. His publication record is extensive, comprising 65 scientific articles, 107 book chapters, 10 books (including edited volumes), and 5 research reports. His work appears in high-impact journals including IEEE Access, Sensors, and Photonics, demonstrating the relevance and quality of his research contributions to the telecommunications community.
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.
Professor Marta Kasprzak is a distinguished faculty member at Poznań University of Technology, holding a position in the Faculty of Computer Science and Telecommunications within the Institute of Computer Science. With the academic title of 'prof. dr hab. inż.', she represents the highest academic rank in the Polish system, indicating her significant contributions to her field. Her research interests focus on the intersection of computer science and biology, particularly in bioinformatics and computational biology. Professor Kasprzak specializes in applying graph theory and combinatorial algorithms to solve complex problems in genomics and DNA sequencing. Her work consistently bridges theoretical computer science with practical biological applications, making substantial contributions to both fields. Analysis of her recent publications reveals a strong trend toward increasingly sophisticated applications of graph theory to biological problems. Her 2024 publications span diverse topics from task allocation using Steiner systems to RNA World modeling with inhibitors, demonstrating both theoretical depth and biological relevance. The consistent publication output across decades indicates sustained research productivity and evolving expertise in computational approaches to biological challenges. Professor Kasprzak has supervised doctoral students including Maciej Antczak (2013) and Aleksandra Świercz (2007), and has served as a reviewer for numerous other dissertations in related fields. Her academic lineage connects to prominent researchers like Jacek Błażewicz, indicating integration within a strong research tradition in computational biology. Her research group at the Institute of Computer Science focuses on developing algorithmic solutions for biological data analysis, with particular emphasis on graph-based approaches to genomic sequence analysis and molecular modeling. This work contributes to the broader understanding of biological systems through computational methods and provides valuable tools for the bioinformatics community.
Professor Krzysztof Kempa is a faculty member at Poznań University of Technology, affiliated with the Faculty of Civil Engineering and Transport and the Institute of Propulsion and Aviation. He holds the academic rank of Professor and maintains an active research program focused on advanced materials and their engineering applications. His primary research interests include: Nanomaterials, particularly carbon nanotubes and their applications Tribology and friction reduction in mechanical systems Propulsion systems and aviation engineering Transparent conducting electrodes for electronic applications Plasmonics and photonic materials Materials for energy conversion and storage Professor Kempa's recent publications (2018-2020) demonstrate a strong focus on applying nanomaterials to solve engineering challenges, particularly in the areas of friction reduction, energy conversion, and transparent electronics. His work bridges fundamental materials science with practical engineering applications across automotive, renewable energy, and defense sectors. Professor Kempa has collaborated extensively with researchers both within Poznań University of Technology and internationally, as evidenced by his co-authorship on numerous publications. His research has practical applications in automotive engineering, renewable energy technologies, and defense applications, with at least one registered patent in the defense technology domain.
Marcin Wardaszko is an Assistant Professor at Kozminski University where he heads the Department of Quantitative Methods and Information Technology and the MBA IT program. He also serves as a Visiting Professor at Vorarlberg University of Applied Sciences. His professional network extends internationally through his roles as a representative of Riva Solutions GmbH in Poland and East Asia, collaborator with HCD Learning Ltd in Shanghai, and Digital Game-Based Learning expert at Poland's NASK National Research Institute. Professor Wardaszko's research focuses on simulation games, serious game design, and gamification applications across educational and business contexts. His work explores how digital game-based learning enhances cognitive outcomes, how VR technologies can develop soft skills (particularly through his Cicero VR public speaking trainer), and how gamification improves workplace environments and organizational development. He has developed models for classifying simulation games based on their strategic application in organizational contexts. His recent publications demonstrate a strong trajectory in serious gaming research, with significant contributions in 2023 (INDCOR White Paper), 2022 (Urban Resilience and Serious Gaming), 2021 (Simulation Gaming Through Times), and 2018-2015 (multiple studies on organizational development, mobile learning effectiveness, and workplace gamification). His work spans interdisciplinary applications from warehouse management optimization to public speaking training in virtual environments. Scientific recognition includes: CEEMAN 2019 Champion in Teaching Award for VR-based learning program President of International Simulation and Gaming Association (2019-2020) Fellow in Association for Business Simulation and Experiential Learning Member of Swiss Austrian German Simulation and Gaming Association Polish representative in COST Action CA18230 on Interactive Narrative Design As head of the Center for Simulation Games and Gamification at Kozminski University, Professor Wardaszko leads development of innovative educational tools including HOTEL STARS business simulation, Cicero VR public speaking trainer, and dcView gamified data presentation system. His work bridges academic research with practical applications in education and business, demonstrating how games and gamification can transform learning and working environments. He has supervised numerous research projects and maintains active international collaborations across Europe and Asia.
Dr. Karol Chlasta serves as an Assistant Professor in the Faculty of Management in Networked and Digital Societies at Kozminski University in Warsaw. He earned his doctoral degree in engineering and technical sciences from the Polish-Japanese Academy of Information Technology in 2023, defending his dissertation "Neural Simulation Pipeline for Liquid State Machines" with distinction (summa cum laude). His academic journey includes a Master's degree in Economic Computer Science from the University of Economics in Krakow (2008) and postgraduate studies in Business Analytics at Warsaw University of Technology (2015). Dr. Chlasta's research spans artificial intelligence, particularly neural networks and machine learning, human-computer interaction, and information management. His recent publications demonstrate expertise in AI applications for mental health screening through eye-tracking and speech analysis, sentiment analysis of social media data for migration studies, and innovative virtual reality interaction techniques. He has published consistently from 2020-2024 across multiple high-impact venues, with his work appearing in journals like Frontiers in Psychology, European Psychiatry, and Telematics and Informatics Reports, as well as conferences including ACM DIS and IEEE VR. His scientific contributions form several interconnected research threads: AI-based diagnostic systems for depression, anxiety, and dementia through biometric analysis Computational neuroscience tools including the Neural Simulation Pipeline deployable in cloud environments Sentiment analysis of social media data to understand migrant experiences during the pandemic Novel interaction techniques like VXSlate for virtual reality environments Dr. Chlasta has received notable recognition including the Scholarship of the Minister of National Education and Sport (2006) and the "Outstanding Leader" award from Aviva's global CIO (2017). His interdisciplinary approach bridges technical AI expertise with practical applications in healthcare, migration studies, and human-computer interaction. With over fifteen years of industry experience at major organizations including HP, IBM, and Aviva, Dr. Chlasta brings substantial real-world perspective to his academic work. Since 2022, he has served as Head of Technicus Poland, where he established and manages the Polish branch while developing the company's global IT and cybersecurity functions. He is also a certified specialist across multiple enterprise technologies and a member of several professional organizations including ACM and IEEE. His research approach integrates academic rigor with practical problem-solving, focusing on developing tools that address real-world challenges in mental health screening, migration support, and virtual interaction environments.
Dr. hab. inż. Michał Czubenko serves as an Associate Professor at the Department of Decision Systems and Robotics within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic home is in Building A of the Faculty, room 638. Czubenko's research bridges theoretical computer science with practical applications in robotics and decision systems. His educational background includes a doctoral degree (dr inż.) in Automatic Control and Robotics obtained in 2017 and a post-doctoral degree (dr hab. inż.) in Information and Communication Technology achieved in January 2025, both from the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. Czubenko's research spans a remarkably interdisciplinary space where artificial intelligence meets human cognition. His work integrates computational models with psychological theories to create more human-like decision systems. The researcher has developed expertise in affective computing, focusing on how machines can recognize, interpret, and simulate human emotions. His publications reveal a consistent thread connecting fuzzy logic systems with cognitive architectures, demonstrating how biological inspiration can enhance robotic decision-making capabilities. Particularly notable is his work on artificial emotion modeling, which has implications for human-robot interaction and autonomous systems that require social intelligence. Analysis of Czubenko's publication record shows a clear trajectory from foundational work in intelligent decision-making systems toward increasingly sophisticated applications in robotics and human-machine interaction. His recent work demonstrates growing interest in practical implementations of AI, including object manipulation in robotics and domain adaptation techniques for medical diagnostics. The researcher has also begun exploring the educational implications of large language models, as evidenced by his 2023 publication evaluating ChatGPT for quantum physics learning. While specific awards aren't detailed in the available information, Czubenko's substantial publication record across prestigious venues including Frontiers in Robotics and AI, Cognitive Computation, and Engineering Applications of Artificial Intelligence indicates recognition within his field. His work on computational approaches to artificial emotion has been particularly influential, providing a comprehensive review of existing solutions in this emerging domain. Czubenko's research demonstrates strong collaborative tendencies, frequently working with colleagues like Z. Kowalczuk across multiple publications spanning more than a decade. His work on the xDriver system and intelligent decision-making frameworks suggests involvement in practical implementations of theoretical concepts, likely within laboratory settings focused on robotics and autonomous systems. The researcher's recent publications indicate ongoing active engagement with cutting-edge topics including domain adaptation techniques and the application of large language models in specialized domains.
Michał Pióro serves as a Professor at the Department of Computer Communications within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His office is located in Building A of the Faculty (room 149), where he actively conducts research and teaching in network engineering disciplines. His research centers on network optimization and resilience, with specialized focus on Software Defined Networking (SDN) controller placement, Free Space Optics (FSO) networks under weather disruptions, and industrial control systems for Industry 4.0. Key methodologies include min-max optimization, uncertainty set modeling, and game-theoretic approaches to address node-targeted attacks and atmospheric interference. His work bridges theoretical optimization with practical network design challenges in wireless communications. Analysis of recent publications (2021-2024) reveals consistent innovation in enhancing network robustness through mathematical optimization. His research demonstrates particular expertise in developing joint optimization frameworks for SDN controller placement and creating weather-resilient FSO network configurations using advanced uncertainty modeling. These contributions address critical gaps in maintaining network functionality during attacks and adverse environmental conditions. Scientific awards: No scientific awards were mentioned in the provided information Advising and grants: No information regarding student supervision or research grants was provided
