Professor Ewaryst Rafajłowicz is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, serving as Head of the Department of Control Systems and Mechatronics. His research spans control systems, pattern recognition, image processing, and spatio-temporal dynamics, with recent work focusing on iterative learning control, signal classification, and vibration analysis in industrial systems. Control systems System identification Pattern recognition Image processing Statistical process control Mechatronic control Recent publications highlight his expertise in functional data analysis, Bernstein polynomial applications, and shape-preserving descriptors for classification tasks. He has contributed to both theoretical advancements in control algorithms and practical implementations in industrial settings, particularly in vibration damping and mechatronic systems.
Konrad Kułakowski is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His research spans multiple domains including decision support systems, operations research, and robotics, with a focus on pairwise comparisons methods and their applications in optimization problems and automated systems. Affiliation: AGH University of Science and Technology School: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Applied Informatics His research interests center on improving accuracy and resilience in pairwise comparisons methods, detecting manipulation in decision-making processes, and optimizing path planning for automated guided vehicles (AGVs) in constrained environments. His work bridges theoretical advancements in decision analysis with practical applications in robotics, real-time systems, and biomedical engineering. Key trends in his recent publications include: Advancements in heuristic algorithms for pairwise comparisons matrices Applications of Monte Carlo simulations for method validation Path planning optimization for AGVs in irregular layouts Detection of manipulation in peer assessment frameworks Resilient aggregation techniques for secure judgments in AHP
Maciej Huk is an Assistant Professor at Wroclaw University of Science and Technology, working in the Department of Applied Informatics within the Faculty of Information and Communication Technology. He has been affiliated with the university since 2007, previously working in the Department of Artificial Intelligence and Department of Security of Computer Systems before moving to his current department in 2016. His academic credentials include Ph.D. and D.Sc. degrees in Computer Science from Wroclaw University of Technology (2007, magna cum laude) and an M.Sc. Eng. degree in Computer Science (magna cum laude). Dr. Huk's research spans multiple areas of artificial intelligence and computer science, with particular emphasis on contextual systems, artificial neural networks, and machine learning. His work explores contextual neural networks, selective attention mechanisms, genetic algorithms, and ensembles of classifiers. He has developed several research software systems including H2O Snowflake for distributed training of contextual neural networks, CxNNS, GACS for context-sensitive text mining, and DYDO for educational applications. His research bridges theoretical computer science with practical applications in IoT, embedded systems, and robotics. His publication record shows consistent productivity with research spanning from 2006 to the present (2025), demonstrating evolving focus from foundational neural network research to more applied contextual systems. The publication trends indicate a strong specialization in contextual neural networks, with recent work expanding into biomedical applications (CRISPR-Cas9 analysis), educational technology (attendance systems), and energy optimization. His work consistently addresses the challenge of context representation and utilization in machine learning systems. Dr. Huk serves as an Academic Editor for PLOS ONE Journal and Evolving Systems Journal, and has reviewed over 130 papers since 2016 for journals registered in ISI Web of Science. He has been actively involved in the academic community as a program and organization committee member for numerous conferences including ACIIDS (2016-2021), ICCCI (2016-2020), and others. He has chaired special sessions on Intelligent and Contextual Systems at IEEE conferences. His professional activities extend beyond pure academia, including serving as Software Architect/Data Analyses Architect at Gigaset Communications since 2008, and organizing clinical research including the Phase 3 randomized multicenter clinical study NCT04952519 on amantadine treatment for COVID-19 patients. He is certified to organize clinical trials with human subjects through NIH NIAID Good Clinical Practices 2.0.
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.
Wojciech Siwicki is an Assistant Professor at the Department of Radiocommunication Systems and Networks within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. Based in room 406 of Building A, he can be contacted via email (wojciech.siwicki@pg.edu.pl) or phone (+48 58 347 1577). His research focuses on radio navigation and terrestrial positioning systems , particularly: Hyperbolic radio navigation alternatives to GNSS Asynchronous and self-organizing radiolocation methods Indoor localization algorithms using radio distance measurements Security analysis of navigation infrastructure Internet of Things radio interfaces Publications from 2013-2020 reveal consistent work on Polish radiolocation systems (AEGIR/JEMIOLUSZKA), with emphasis on system reliability, asynchronous operation, and comparative performance analysis in both static and dynamic environments. His contributions span theoretical modeling and practical implementation of terrestrial navigation solutions. Dr. Siwicki participates in research projects funded by the Intelligent Development Operational Programme, including DUCH IoT (software-defined radio interfaces for IoT devices) and VCS-MLAT (aircraft location in distributed VCS systems), demonstrating applied research engagement in navigation technology innovation.
