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Juliusz OrlikowskiView profile

Professor

• corrosion monitoring
• Risk-based Inspection (RBI)
• stress corrosion cracking
• +4 more

Prof. Juliusz Orlikowski is a Professor and Vice-Dean for Cooperation and Development at Gdańsk University of Technology's Faculty of Chemistry, leading the Department of Corrosion and Electrochemistry. His academic career includes roles as an assistant, assistant professor, and university professor before becoming a full professor in 2023. He holds a PhD from Gdańsk University of Technology (1998) and habilitation from Warsaw University of Technology (2011). His research focuses on corrosion monitoring, stress corrosion cracking, and cathodic protection systems for marine and petrochemical infrastructure. He has received multiple awards, including the National Education Commission Medal and recognition for innovations in corrosion monitoring from PKN Orlen and international fairs. His work spans 94+ publications, with recent contributions on dynamic impedance spectroscopy and corrosion in extreme environments. He advises on corrosion protection for offshore platforms, refineries, and water infrastructure, combining field testing with advanced electrochemical methods. Education: PhD in Materials Engineering, Gdańsk University of Technology (1998) Habilitation in Technical Sciences, Warsaw University of Technology (2011) Master's degree, Gdańsk University of Technology (1993) Research Interests: Corrosion mechanisms in petrochemical and marine environments Risk-Based Inspection (RBI) methodologies Dynamic impedance spectroscopy for real-time monitoring Cathodic protection system optimization Material degradation under mechanical stress Awards: Highlighted achievements include the 2023 Minister of Education Team Award for implementation activities and the 2022 Gold Medal at INTARG for inventive corrosion solutions. His work bridges academic research with industrial applications, addressing challenges in refinery safety and offshore infrastructure longevity.

• Multiphase Fluid Flows
• Image Visualization and Analysis
• Stereology
• +4 more

Dr. Eng. Maciej Masiukiewicz is a Lecturer at the Department of Process and Environmental Engineering within the Faculty of Mechanical Engineering at Opole University of Technology. Based in room B-106, he can be contacted at +48 77 449 8383 or via email at m.masiukiewicz@po.edu.pl. His primary research focuses on: Advanced analysis of multiphase fluid flows using stereological methods Image visualization and processing techniques for flow characterization Thermodynamics applications in energy systems HVAC and refrigeration technology development Renewable energy integration in thermal systems Masiukiewicz's publications demonstrate consistent focus on experimental fluid dynamics, particularly gas-liquid interactions in constrained environments. Recent work (2015-2021) emphasizes industrial applications of image analysis for optimizing energy efficiency in thermal systems, with recurring themes in two-phase flow phenomena, heat transfer enhancement, and renewable energy utilization. No information is available regarding supervised students, research grants, laboratory affiliations, or scientific awards at this time.

• Computer Networks
• Network Security
• Wireless Sensor Networks
• +4 more

Adam Czubak serves as an Assistant Professor ( adiunkt ) in the Department of Computer Science at the University of Opole, Poland. His institutional email is adam.czubak@uni.opole.pl, and he maintains an active research profile with ORCID 0000-0003-1336-2839. His research spans multiple critical areas of modern networking and security, with primary focus on Computer Networks , Network Security , and Wireless Sensor Networks . His work addresses fundamental challenges in routing algorithms, cryptographic protocols, and vulnerability analysis. Recent publications demonstrate a clear trajectory toward practical cybersecurity applications, particularly in vulnerability assessment frameworks and attack modeling. Analysis of his publication timeline reveals an evolution from theoretical networking foundations (2009-2013) toward applied security research (2014-present). His work bridges algorithmic complexity, cryptographic implementation, and real-world network vulnerabilities, with notable contributions to SDN security, firewall analysis, and Chacha20 cryptography. The consistent focus on performance-cost tradeoffs across WAN/SDN systems demonstrates practical engineering sensibilities. Career metrics include 17 publications, 1 research project, and 1 media appearance. His bibliometric profile shows a Web of Science h-index of 2, SNIP of 0.401, and CiteScore of 0.7, with a Polish ministerial research score of 390 points. Professor Czubak maintains active scholarly presence through Google Scholar, Scopus, and LinkedIn profiles, with documented collaborations through multi-center publications. His research output reflects strong alignment with contemporary cybersecurity challenges while maintaining rigorous theoretical foundations in network science.

• Quality Management
• Production Engineering
• Logistics
• +4 more

Dr. Izabela Czabak-Górska is a Lecturer at the Department of Management and Production Engineering, Faculty of Production Engineering and Logistics, Opole University of Technology. Her work focuses on quality management, statistical process control, and Six Sigma methodologies in manufacturing and educational contexts. Fields of Expertise: Quality Management, Production Engineering, Logistics, Six Sigma Institutional Affiliation: Opole University of Technology Her research spans control charts for skewed distributions, improvement project selection methods, organizational maturity models, and performance measurement frameworks. She applies advanced analytical techniques like fuzzy WASPAS, wavelet transforms, and NARNET networks to real-world case studies. Publications highlight trends in robust control charts, hidden factory phenomenon analysis, and process-oriented quality management systems. Her work bridges theoretical statistical methods with practical industrial applications.

Michal KedzioraView profile

Assistant Professor

• Cybersecurity
• Blockchain
• Artificial Intelligence
• +7 more

Michal Kedziora is an Assistant Professor at Wroclaw University of Science and Technology, affiliated with the Faculty of Information and Communication Technology and Department of Applied Informatics. As head of the Cybersecurity mini-Lab, he bridges academic research with practical expertise as an IT Security Professional and Digital Forensics Investigator with experience in companies like IBM and Orange. Postdoc in Cybersecurity (2017), University of Wollongong PhD in Computer Science (2014), Wroclaw University of Science and Technology MSc in Computer Security (2006), Wroclaw University of Technology His research focuses on AI-driven cybersecurity , blockchain security , and brain-computer interfaces , with recent work on adversarial attacks, medical AI applications, and offensive cybersecurity strategies. Publications span from 2009 to 2025, demonstrating sustained impact. Key article trends: 13/15 recent papers involve artificial intelligence (2021-2025), 8 focus on blockchain security , and 5 on BCI applications . Notable collaborations with University of Wollongong and EU-US teams. 2022 Secundus University Award 2021 Erasmus Mundus Thelxione Grant 2021 Best EU-US Collaboration Team (NGI Explorers) 2020 H2020 ICT-31-2018-2019 EU-US NGI Grant Supervises 11 current and 33 past students across BSc, MSc, and PhD levels, with thesis topics ranging from ransomware detection to blockchain voting systems . Leads cybersecurity research at WUST's Security and Reliability of Information Systems Lab.

• Technical Computer Science and Telecommunications
• Biomedical Engineering
• Control Systems
• +3 more

Dr. Eng. Michał Doligalski is an Assistant Professor at the University of Zielona Góra , affiliated with the Institute of Metrology, Electronics and Computer Science and the Department of Computer Engineering and Internet of Things . His primary research interests span Technical Computer Science and Telecommunications (75%) and Biomedical Engineering (25%). He holds an ORCID identifier: 0000-0003-2895-7085 and can be contacted at M.Doligalski@imei.uz.zgora.pl . His office is located in Room 208A of the A-2 Teaching Building (prof. Z. Szafrana 2, 65-516 Zielona Góra). His research focuses on control systems , aerosol therapy technologies , mathematical modeling of fluid dynamics , and PLC-based industrial automation . Recent work includes advancements in precision measurement systems for indoor localization and optimization of medical nebulizer performance. Publications highlight interdisciplinary contributions, blending engineering principles with medical applications. Notable areas include: Development of programmable logic controllers for industrial monitoring Enhanced aerosol delivery methods for respiratory therapies 3D modeling of liquid film dynamics GNSS-based time synchronization in energy-constrained systems No scientific awards or grants were explicitly mentioned in the provided data.

• Tomography
• Image Reconstruction
• Machine Learning
• +2 more

Robert Banasiak is Research Professor at Lodz University of Technology's Institute of Applied Informatics, specializing in industrial tomography and computational imaging. His research develops advanced algorithms for 3D electrical capacitance tomography (ECT) with applications in multiphase flow monitoring and process control. Recent innovations include machine learning classifiers for flow regime identification, GPU-accelerated reconstruction techniques, and 3D-printed sensor designs. Key research areas: Real-time 3D imaging for industrial processes Machine learning applications in tomography High-performance computing for image reconstruction Additive manufacturing of sensor systems Multiphase flow quantification Technological contributions include graph-based reconstruction methods, multi-GPU algorithms for tomographic processing, and development of hybrid ECT/ERT systems. Research addresses fundamental challenges in measurement resolution, computational efficiency, and sensor design for harsh industrial environments.

Aleksander ByrskiView profile

Professor

• Nature-inspired Computing
• Agent-based Distributed Computation
• Artificial Intelligence
• +3 more

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.

Bartosz BaliśView profile

Associate Professor

• scientific workflows
• data science
• e-Science
• +2 more

Bartosz Baliś serves as Associate Professor at the Institute of Computer Science, AGH University of Science and Technology, and holds a Senior Postdoctoral position in Extreme-scale Data and Computing at the Sano Centre for Computational Medicine. He actively contributes to the CERN ALICE experiment as a core team member. His educational foundation includes dual degrees from AGH University and Jagiellonian University, culminating in both PhD and DSc (habilitation) qualifications in Computer Science from AGH University. These advanced credentials underpin his specialized expertise in computational methodologies. Dr. Baliś pioneers research in scientific workflows, data science, and distributed computing systems , with particular emphasis on cloud-native architectures and e-Science infrastructures. His innovative work bridges theoretical computer science with practical applications in large-scale data processing, advancing methodologies for scientific computing environments through novel workflow management solutions. Recent publications demonstrate a clear trajectory toward serverless computing paradigms and comprehensive observability frameworks for scientific applications, reflecting his commitment to solving scalability challenges in modern computational research through cutting-edge cloud technologies. He has secured substantial research funding through participation in major European initiatives including CrossGrid, CoreGRID, K-Wf Grid, ViroLab, Gredia, UrbanFlood, PaaSage, and WATERLINE across FP5-FP7 and Horizon 2020 programs. His leadership extends to conference organization as Euro-Par 2020 General Co-chair, HPCS 2018-19 Tutorials Co-chair, and IEEE/ACM SC committee roles. Within institutional frameworks, Dr. Baliś contributes to the Extreme-scale Data and Computing research group at Sano Centre while maintaining active collaboration with the international CERN ALICE collaboration, where his computational expertise supports high-energy physics research infrastructure.

Mariusz MiszewskiView profile

Researcher

• Edge Computing
• Telecommunications
• IoT (Internet of Things)
• +5 more

Mariusz Miszewski Mariusz Miszewski is affiliated with the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. He holds a position within the Department of Radiocommunication Systems and Networks . His work focuses on edge computing, telecommunications infrastructure, IoT systems, and big data applications. Research Interests: Design and implementation of edge computing architectures (e.g., SYMEC project) Development of IoT-enabled devices and gateways (e.g., KODEŚ concentrator) Secure communication systems for border surveillance (STRADAR project) Scalable multimedia archiving leveraging cloud computing Projects: SPIRIT OF IoT : Universal radio interfaces for smart IoT devices (2019-12-12) Power Data Concentrator : IoT/AMI/SCADA integration (Project ID: POIR.01.01.01-00-0651/19-00) VCS-MLAT : Aircraft location in distributed systems (2017-07-13) STRADAR : Real-time data transmission for border security (2014-12-23) Labs/Teams: Involved in projects managed by departments of Radiocommunication Systems and Teleinformation Networks, collaborating on defense and civilian telecommunications initiatives.

Paweł WachelView profile

Researcher

• Control Theory
• System Identification
• Signal Processing
• +5 more

Paweł Wachel is a researcher at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. He is actively engaged in research and academic activities, with recent publications spanning from 2022 to 2024. Research Interests: His primary research areas include control theory, system identification, signal processing, and nonlinear systems. He specializes in the modelling and identification of complex systems such as Wiener, Hammerstein, and infinite memory nonlinear systems, employing advanced techniques like kernel-based methods, aggregative modelling, and exponential excitations. The recent publications indicate a strong focus on both theoretical and applied aspects of control systems, with increasing integration of learning-based and data-driven approaches. Topics such as safe learning, decentralized diffusion, and dual averaging algorithms reflect modern trends in adaptive and robust control. The interdisciplinary reach extends into neural networks and materials science, particularly in using fractal analysis for material hardness estimation. Scientific Awards: No awards or fellowships are mentioned in the provided text. Advising and Grants: While no specific students or grant funding are listed, Paweł Wachel collaborates extensively with researchers such as Krzysztof R Kowalczyk, Cristian R Rojas, Koen Tiels, and others, suggesting active participation in research teams and potential supervision roles. His consistent publication output indicates sustained research activity, likely supported by institutional or project-based funding. Labs and Teams: As a member of the Department of Control Systems and Mechatronics, he is likely involved in research laboratories focused on control systems, system identification, and mechatronic applications, though specific lab names or team structures are not detailed in the provided content.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +3 more

Jakub Neumann holds the following positions at the University of Gdańsk: Associate Professor, Division of Artificial Intelligence, Institute of Informatics, Faculty of Mathematics, Physics and Informatics Deputy Director of the Institute for Development and Promotion, Institute of Informatics Deputy Dean for Education, Faculty of Mathematics, Physics and Informatics His research interests include: Artificial Intelligence and Machine Learning (focus: imbalanced data classification using MapReduce) Autonomous Systems (path planning for autonomous surface vehicles) Educational Technology (XML-based tools for online course development) Theoretical Computer Science (tree automata and complexity) Publication trends: Neumann's work evolved from theoretical computer science (2002) to e-learning (2003-2007), autonomous systems (2012-2013), and recently big data and machine learning (2017-2018). His recent focus is on distributed computing solutions for imbalanced datasets, reflecting the growing importance of big data in AI applications.

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +4 more

Tomasz Kajdanowicz serves as an Associate Professor in the Department of Artificial Intelligence at Wrocław University of Science and Technology's Faculty of Information and Communication Technology. His research bridges theoretical machine learning with practical cybersecurity and natural language processing applications. His primary research interests focus on graph neural networks , large language model optimization , and interpretable cybersecurity systems . Notable contributions include the MIRAD framework for ransomware detection and PUGG dataset development for Polish language processing. His work demonstrates consistent innovation in graph representation learning, particularly through multiplex graph fusion techniques and knowledge graph enrichment strategies. Analysis of his recent publications reveals a strong trajectory toward trustworthy AI systems with emphasis on hallucination detection (FactSelfCheck), latent space optimization (LatentPrompt), and synthetic data generation for medical applications. His cybersecurity research shows increasing sophistication in interpretable threat detection mechanisms. His academic supervision includes multiple doctoral and master's students evidenced through co-authorship patterns, particularly in graph-based learning and NLP projects. Current collaborations span biomedical signal processing (fNIRS analysis) and efficient LLM deployment strategies. His laboratory work centers on the AI Security Lab within the Department of Artificial Intelligence, focusing on adversarial robustness testing and real-time network monitoring systems. Key initiatives include the development of Polish-language NLP benchmarks and cross-domain graph embedding frameworks.

Andrzej KasprzakView profile

Professor

• Machine Learning
• Computer Science
• Network Optimization
• +3 more

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.

Jacek JagodzińskiView profile

Lecturer

• Control Theory
• Industrial Networks
• Logistics
• +5 more

Jacek Jagodziński is a Lecturer at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His office is located in building C-3, room 317A at ul. Janiszewskiego 11/17, 50-372 Wrocław, with office hours on Monday 7:00-8:00, Tuesday (even weeks) 12:45-15:00, and Wednesday (odd weeks) 10:45-13:00. His research spans Control Theory , Industrial Networks , Logistics , and Decision-Making Systems , with significant contributions to Lean Management methodologies including Kaizen and Total Quality Management. Early work focused on mathematical control systems (nilpotent approximations, Chen-Fliess-Sussmann equations), while recent publications demonstrate a strategic pivot toward applied logistics, fashion industry analytics, and sustainable transportation systems. Analysis of his 15 most recent publications reveals an evolving research trajectory: initial focus on theoretical control systems (2008-2014) transitioned to logistics decision theory (2014-2017), then expanded into interdisciplinary domains including fashion forecasting (2019-2022) and zero-emission transportation (2020-2024). Current work emphasizes practical applications of fractional-order systems in building automation and Padé approximations for industrial control. Professional Contributions: Active research in industrial network optimization and game-theoretic logistics applications Specialized expertise in B-Spline identification methods for cascade control systems Developed frameworks for forecasting fashion demand with cost-optimization models Contributed to EU-focused studies on zero-emission bus fleet implementation His methodological approach combines rigorous mathematical modeling with empirical validation in industrial settings, particularly within Polish manufacturing and logistics sectors. Recent work shows increasing engagement with sustainability challenges in urban transportation and circular economy systems.