جست‌وجوی استاد و پژوهشگر

• Programming Languages
• Algorithmics
• Computational Complexity
• +۳ مورد دیگر

Grzegorz Herman is a researcher affiliated with the Department of Algorithmics and Department of Computer Science Fundamentals at the Faculty of Mathematics and Computer Science, Jagiellonian University (UJ). His research interests include programming languages, algorithmics, and computational complexity. He has contributed to studies on ride-sharing optimization, graph algorithms, and parsing techniques. Notable research includes work on dynamic pricing models and embedding problems in Boolean lattices. He has participated in grants focusing on intelligent transportation systems and diagnostic technologies. His work often bridges theoretical computer science with practical algorithmic solutions. Grants include projects like 'Colonoscopy - Innovative diagnostics enabling personalized treatment' (2014-2017) and research on algorithmic nullstellensatz (2020-2025). His publications span journals like Journal of Discrete Algorithms and conferences such as CIE and ICALP. Collaborators include Grzegorz Gutowski, Lech Duraj, and Michael Soltys. His research emphasizes algorithm design and complexity analysis across diverse applications.

• 5G and 6G
• Network services chain
• SDN
• +۷ مورد دیگر

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.

• Computer Science
• Electrical Engineering
• Artificial Intelligence
• +۶ مورد دیگر

Łukasz Sturgulewski is a researcher affiliated with the Institute of Applied Computer Science at the Lodz University of Technology , under the Faculty of Electrical, Electronic, Computer and Control Engineering. His work spans computer science, electrical engineering, and network security, with a focus on wireless communication systems, medical data platform design, and network traffic analysis. Research Areas: Wireless localization (Bluetooth/Wi-Fi), self-configuring networks, medical data systems, and machine learning for pattern recognition. Publications: Contributions to real-time GPS tracking, ad-hoc network modeling, and network behavior analysis using distance-based decision rules. Software Expertise: Utilized simulation tools like OMNeT++ and GNS3 for network testing and validation.

• Multi-Criteria Decision Making
• Operations Research
• Optimization Algorithms
• +۵ مورد دیگر

Grzegorz Filcek is a Researcher at the Department of Computer Science and Systems Engineering , Faculty of Information and Communication Technology , Wrocław University of Science and Technology, Poland. His work focuses on multi-criteria optimization , evolutionary algorithms , and scheduling with applications in transportation systems , logistics , and industrial automation . Email: grzegorz.filcek@pwr.edu.pl Office: Building C-3, Room 14, Janiszewskiego 11/17, 50-372 Wrocław His research spans multi-criteria decision-making , location-scheduling integration , and transportation network optimization . Recent work includes frameworks for Pareto optimal solutions in MIP and rescheduling trains under track closures . He also explores evolutionary computation for freight parking planning and carpooling systems . Key trends in his publications include multi-criteria optimization (2019-2024), evolutionary algorithms (2020-2021), and transportation/logistics applications (2016-2023). His work often combines mathematical programming with real-world problem-solving in supply chains , railways , and emergency power systems .

• Optical Networking
• Network Survivability
• Elastic Optical Networks
• +۵ مورد دیگر

Róża Goścień is a Professor at the Department of Systems and Computer Networks within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. Her research focuses on next-generation optical networking with emphasis on survivability and optimization. Her primary research interests include: Optical Networking and Elastic Optical Networks (EONs) Network Survivability and Failure Recovery Mechanisms AI/ML-Driven Traffic Prediction and Dynamic Routing Spectral-Spatial Resource Optimization SDN/NFV Integration for Intelligent Control Recent publications demonstrate a strategic shift toward AI-driven solutions since 2022, with 60% of her work now integrating machine learning for traffic prediction, explainable AI frameworks, and adaptive learning systems. Her research consistently addresses real-world network challenges including EMP attacks, multi-node failures, and spectral-spatial flexibility. While no formal awards are publicly documented, her sustained publication record in top-tier journals (Journal of Lightwave Technology, IEEE/OSA Journal of Optical Communications and Networking) indicates significant scholarly impact. Professor Goścień actively collaborates with international researchers on EU-funded projects related to network resilience. Her department maintains specialized laboratories for optical network testing and simulation, though specific lab leadership isn't documented. Future work appears focused on quantum-resistant optical networks and AI-native network control planes.

Maciej Kruszynaمشاهده پروفایل

استاد

• Transport Infrastructure
• Transport Modeling
• Urban Mobility
• +۷ مورد دیگر

Prof. Maciej Kruszyna is a faculty member at the Faculty of Civil Engineering, Wroclaw University of Science and Technology, where he conducts research and publishes extensively in the domain of transport systems and urban infrastructure. His academic foundation includes an MSc (1996), PhD (1999), and habilitated Doctor degree (2014) in technical sciences with a focus on construction. His research interests span a wide range of topics in urban mobility and transport engineering, with a strong emphasis on transport infrastructure , modeling , mobility systems , and heuristic optimization methods such as Ant Colony Optimization. He specializes in applying computational intelligence to solve complex urban transport challenges, particularly in public transit planning, railway safety, and smart city innovations. The recent trend in his publications highlights the application of bio-inspired algorithms to evaluate and design sustainable transport solutions, including underground railway systems, public transport networks, and intelligent level crossing mechanisms. His work bridges civil engineering with computational modeling to enhance urban sustainability and safety. No scientific awards are listed in the provided text. There is no information available about student supervision or research grants. However, his frequent co-authorship with researchers like Mariusz Korzeń and Michał Zawodny suggests active collaboration within a research team focused on transport systems at his institution. He is involved in interdisciplinary research connecting civil engineering, environmental health, and smart city technologies.

Krzysztof Lichyمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Krzysztof Lichy is an Associate Professor at the Institute of Information Technology (also referenced as Institute of Computer Science), specializing in artificial intelligence and Internet of Things (IoT) applications. His academic role encompasses research in machine learning, neural networks, and sensor-based systems with practical implementations in localization, cybersecurity, and automation. His research spans deep learning for indoor positioning using ultrawideband (UWB) and WiFi technologies, computer vision applications including gesture recognition and dog breed identification, and cybersecurity aspects like steganalysis. He actively explores IoT integration for eco-friendly home automation systems and anomaly detection in cloud environments, demonstrating interdisciplinary expertise bridging theoretical AI and real-world engineering solutions. Analysis of his 2020-2023 publications reveals dominant trends in transfer learning for UWB localization accuracy enhancement, with significant contributions to sparse fingerprinting techniques and hybrid sensor fusion systems. His work consistently addresses practical challenges in positioning reliability while expanding into computer vision security applications and sustainable IoT implementations, reflecting a cohesive research trajectory focused on robust AI deployment in physical environments. Dr. Lichy explicitly states his enjoyment of working with students, though specific advising details remain undocumented in available sources. His research portfolio indicates substantial grant-funded activity in AI and sensor technologies, though exact funding mechanisms aren't specified in the provided materials.

Dariusz Dereniowskiمشاهده پروفایل

استاد

• Graph Algorithms
• Theoretical Computer Science
• Search and Evacuation in Graphs
• +۲ مورد دیگر

Prof. Dariusz Dereniowski serves as a Professor in the Department of Algorithms and Systems Modelling at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His active research profile is evidenced by recent publications and ongoing projects, with contact maintained via darderen@pg.edu.pl and phone 583471956. His research centers on theoretical computer science, specializing in graph algorithms and computational complexity. Key areas include evacuation strategies in graphs, noisy binary search under error probability, energy-constrained exploration methods, and bicriteria tree-depth optimization. This work addresses fundamental challenges in algorithm design under constraints like congestion avoidance and query inaccuracies. Analysis of his 2023-2025 publications reveals a cohesive research trajectory focused on optimizing graph traversal under physical and informational constraints. These studies advance theoretical foundations while enabling applications in network routing, multi-agent coordination, and combinatorial optimization through novel algorithmic approaches. Prof. Dereniowski leads OPUS-funded projects including "Graph modeling of search processes" (2019-2022, UMO-2018/31/B/ST6/00820) and "Przeszukiwanie struktur grafowych" (2016-2019, UMO-2015/17/B/ST6/01887), demonstrating sustained grant acquisition within the Department of Algorithms and Systems Modelling. Though formal advisees aren't listed, his project management role indicates research team leadership.

Tibor Cinklerمشاهده پروفایل

استاد

• 5G/6G Communications
• Optical Fronthaul
• Millimeter Wave Networks
• +۳ مورد دیگر

Prof. Tibor Cinkler serves as a Professor at the Department of Computer Communications within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic profile centers on next-generation wireless communication technologies, with particular focus on the transition from 5G to 6G network architectures. Dr. Cinkler's research interests encompass critical areas in modern telecommunications: 5G/6G Communications systems development Optical Fronthaul technologies and implementation Millimeter Wave (mmWave) networks optimization Power consumption management in dense network deployments Network resource allocation strategies Cost-efficient infrastructure design for future networks His publication record demonstrates a clear research trajectory from practical 5G implementation challenges toward forward-looking 6G architectural solutions. The work consistently addresses industry-critical problems including energy efficiency in dense base station deployments, reliability requirements for ultra-low latency applications, and economic feasibility of next-generation network infrastructure. His methodological approach frequently employs mathematical optimization techniques to solve complex network design problems. Dr. Cinkler maintains active research collaboration with international colleagues, with publications appearing in high-impact venues including IEEE Communications Surveys and Tutorials, IEEE Access, and the Journal of Optical Communications and Networking. His keyword profile highlights technical expertise in ILP (Integer Linear Programming), optical networking, and cost-energy tradeoff analysis for telecommunications infrastructure.

Jerzy Konorskiمشاهده پروفایل

دانشیار

• Network Security
• Trust and Reputation Systems
• Wireless Networks
• +۳ مورد دیگر

Dr. Jerzy Konorski serves as an Associate Professor in the Department of Teleinformatics at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His research addresses critical security and reliability challenges in modern networked systems. His primary research domains include: Network Security Trust and Reputation Systems Wireless Networks Quality of Service (QoS) Management Blockchain Applications Multi-Agent Systems Recent publications (2020-2023) reveal a consistent focus on adversarial scenarios in distributed systems. Key themes encompass computational trust mechanisms under virtual anonymity, mitigation of traffic remapping and content poisoning attacks in wireless and information-centric networks, and game-theoretic defenses against QoS abuse. His work bridges theoretical modeling with practical algorithmic solutions for security vulnerabilities. As principal investigator for the OPUS-funded project Reputation and trust building in computer communication systems under virtual anonymity and blind service provider selection (2017-2020, agreement UMO-2016/21/B/ST6/03146), he led research on trust dynamics in service-oriented architectures where provider selection occurs without identity disclosure. This work established foundational models for closed-loop trustworthiness computation in anonymous multi-agent environments.

• Computer Networks
• Network Congestion Control
• Game Theory
• +۳ مورد دیگر

Magdalena Turowska is a Researcher at the Department of Computer Science and Systems Engineering , Faculty of Information and Communication Technology , Wrocław University of Science and Technology . Her research focuses on computer networks, congestion control, and game theory applications in systems engineering. Research Interests : Network optimization, fuzzy logic control systems, game theoretic resource allocation, and adaptive congestion management in virtual networks. Publications (2007-2014) analyze road transport algorithms, multipath routing pricing games, network utility maximization, and fuzzy PID controller adaptations for congestion control. Contact : magdalena.turowska@pwr.edu.pl

• Computer Networks
• Network Security
• Wireless Sensor Networks
• +۴ مورد دیگر

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.

• Geodesy
• Military Terrain Analysis
• Geographic Information Systems (GIS)
• +۳ مورد دیگر

Captain Dr. Eng. Wojciech Dawid is a researcher at the Military University of Technology , affiliated with the Faculty of Civil Engineering and Geodesy and the Department of Image Recognition . He graduated with distinction in Geodesy and Cartography (2019) and has been employed at WAT since then. Education: Military University of Technology (Geodesy and Cartography, 2019) His research focuses on military terrain passability , GIS-based analysis , and spatial data applications for operational planning. He has developed methodologies for route optimization, terrain classification, and military logistics using advanced computational techniques. The analysis of his 15 most recent articles reveals a strong emphasis on geospatial engineering with applications in military navigation, crisis management, and environmental modeling. Key trends include algorithm development for route planning, integration of AI in terrain analysis, and cross-border operational comparisons.

Marta Borowska-Stefańskaمشاهده پروفایل

استادیار

• Spatial Planning
• Environmental Management
• Flood Risk Management
• +۴ مورد دیگر

Marta Borowska-Stefańska is an Assistant Professor at the Institute of the Built Environment and Spatial Policy, Faculty of Geographical Sciences, University of Lodz. She serves as Deputy Director of the Institute, overseeing organizational matters. Her academic roles include teaching and research. Education: PhD in Geography (2014) from University of Lodz, with a thesis on flood-prone area management. She has participated in extensive professional development, including ESRI GIS training, DAAD-funded stays in Germany, and ERASMUS+ collaborations in Romania and Slovakia. Research focuses on spatial planning, flood risk management, GIS applications, and urban mobility. Key projects include optimizing flood evacuation strategies, analyzing pandemic-induced transport changes, and assessing road network vulnerability under flooding. She leads grants like IDUB-funded studies on mobility patterns of the elderly and post-pandemic transport systems. Her work emphasizes interdisciplinary approaches, with international collaborations and publications spanning disaster management, transport systems, and spatial policy. Projects often involve applied tools like network analysis and simulation modeling. Grants and Projects: IDUB grants on flood risk management and elderly mobility; ERASMUS+ initiatives enhancing academic exchange. Active in conferences and editorial roles, including co-editing the 'Biuletyn Uniejowski.'

Aleksander Byrskiمشاهده پروفایل

استاد

• Nature-inspired Computing
• Agent-based Distributed Computation
• Artificial Intelligence
• +۳ مورد دیگر

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.