جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +۴ مورد دیگر

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 Kasprzakمشاهده پروفایل

استاد

• Machine Learning
• Computer Science
• Network Optimization
• +۳ مورد دیگر

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.

• Databases
• Data Warehouses
• Data Integration
• +۱ مورد دیگر

Rafał Kern is an academic researcher affiliated with the Department of Applied Informatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work focuses on database systems and data integration technologies. Research Interests Dr. Kern's research centers on databases, data warehouses, and federated systems, with a particular emphasis on query decomposition and knowledge integration in distributed environments. His technical expertise spans data modeling, system architecture, and information management frameworks. Publication Trends His notable research output includes a 2013 publication in Expert Systems with Applications addressing data warehouse federation challenges. This work aligns with broader themes of database optimization and integrated information systems.

• Cybersecurity
• Intrusion Detection
• Anomaly Detection
• +۵ مورد دیگر

Grzegorz Kołaczek is a faculty member at the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, affiliated with the Department of Computer Science and Systems Engineering . His research focuses on cybersecurity , intrusion detection , and security modeling with specific interests in Trust-based security frameworks IoT cybersecurity Anonymity protocols Fraud detection in digital systems . His recent publications emphasize the intersection of cybersecurity and emerging technologies , particularly in Internet of Things environments and e-commerce platforms. Key research trends include collaborative intrusion detection , adaptive user interfaces , and machine learning for threat analysis . Contact: grzegorz.kolaczek@pwr.edu.pl

Dominik Żelaznyمشاهده پروفایل

پژوهشگر

• Scheduling
• Evolutionary Algorithms
• Multi-objective Optimization
• +۳ مورد دیگر

Dominik Żelazny is a researcher at the Faculty of Information and Communication Technology, Department of Computer Engineering, Wrocław University of Science and Technology. He focuses on scheduling algorithms and multi-objective optimization using evolutionary computation methods. Current position: Researcher Primary affiliation: Department of Computer Engineering Research interests include: Development of evolutionary algorithms for scheduling problems Multi-criteria and multi-objective optimization GPU-accelerated computing using CUDA Parallel and distributed algorithm design Industrial applications of operational research

• Fuzzy Logic
• Swarm Intelligence
• Computational Finance
• +۷ مورد دیگر

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

Bartosz Jabłońskiمشاهده پروفایل

پژوهشگر

• Image processing
• Signal filtering
• Motion capture
• +۱ مورد دیگر

Bartosz Jabłoński is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically the Department of Control Systems and Mechatronics . His research focuses on image processing, signal filtering, motion capture, and partial differential equations. Key research trends across his publications include: Development of quaternion-based algorithms for motion processing and clustering Application of multiscale analysis to improve motion capture systems Implementation of anisotropic filtering techniques for rotational trajectory smoothing Integration of agile methodologies in technical education Use of collaborative tools for Parkinson disease diagnosis His work spans both theoretical algorithm development and practical applications in biomedical engineering and educational reform.

Jacek Jagodzińskiمشاهده پروفایل

مدرس

• Control Theory
• Industrial Networks
• Logistics
• +۵ مورد دیگر

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.

Dariusz Jankowskiمشاهده پروفایل

پژوهشگر

• Machine Learning
• Data Stream Mining
• Data Stream Classification
• +۳ مورد دیگر

Dariusz Jankowski is a researcher at the Department of Systems and Computer Networks within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His work focuses on machine learning, data stream mining, and big data analysis with applications in medical diagnostics and industrial processes. Email: dariusz.jankowski@pwr.edu.pl Office: Room P.2.9, Building C-16, Wrocław Office Hours: Tuesday 11-13, Thursday 13-15 Research interests include machine learning, data stream classification with concept drift, and big data analysis. He has applied these techniques to medical diagnosis (migraine) and industrial applications (dental milling, cotton textile industry). Recent publications focus on decision tree algorithms for data streams, random forest optimization with MapReduce, hyperspectral image segmentation, and ensemble classifier systems. His work spans both theoretical machine learning and practical implementations across diverse domains. Current affiliations include participation in academic conferences like IDEAL, CORES, and HAIS. While no awards are explicitly mentioned, his collaborative publications suggest active involvement in research networks.

• Collective Intelligence
• Multiagent Systems
• Knowledge Diffusion
• +۳ مورد دیگر

Marcin Maleszka is a researcher at the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specializing in collective intelligence , multiagent systems , knowledge diffusion , and knowledge integration . His work bridges computational models with social dynamics, focusing on group learning, recommendation systems, and secure data sharing. Current affiliation: Department of Applied Informatics, Wrocław University of Science and Technology Email: marcin.maleszka@pwr.edu.pl Office hours: Wednesday 13:30–15:00, Thursday 13:00–15:00, Saturday 16:45–17:45 His research explores how agent-based systems can model social collectives, optimize knowledge transfer, and enhance educational and healthcare technologies. Recent publications highlight applications in digital heritage , medical diagnostics , and urban mobility , with methodologies spanning GANs , ANNs , and agent modeling . Key publication trends include: Integration of Generative Adversarial Networks and Graph Neural Networks for heritage data Development of agent-based models for group learning Security mechanisms in peer-to-peer systems using attribute-based encryption Applications in medical imaging and traffic modeling Contact details: Address: ul. Z. Janiszewskiego 11/17, 50-372 Wrocław Room: C-3, 15 (Wrocław) and D-1, 30 (during Saturday office hours) Phone: +48 71 320 2938

• Fast computational hardware
• Massively-parallel computing
• Residue number systems
• +۴ مورد دیگر

Tadeusz Tomczak is a faculty member at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , within the Department of Computer Engineering . His academic rank is Professor . Research Focus: Fast computational hardware, massively-parallel computing, and residue number systems. Expertise: GPU acceleration, fluid dynamics simulations, sparse geometries, and numerical methods. Recent publications highlight his work on Navier-Stokes solvers , Lattice-Boltzmann methods , and residue number systems , with applications in fluid dynamics, biomedical engineering, and high-performance computing. His research spans hardware acceleration, algorithm optimization, and computational modeling on GPUs.

• Information Technology
• Autonomous Systems
• Mobile Systems
• +۳ مورد دیگر

Paweł Rogaliński is a PhD researcher at the Department of Computer Engineering within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His work focuses on robotics, autonomous systems, and medical imaging technologies. Research Interests: Autonomous systems, mobile applications, genetic programming, and ultrasonography. Email: pawel.rogalinski@pwr.edu.pl His publications span 1998-2005, with key contributions in RoboCup multi-agent coordination, LEGO Mindstorms educational programming, and 3D medical imaging systems. No awards or student advisory information is publicly available.

Czesław Smutnickiمشاهده پروفایل

استاد

• Manufacturing Systems
• Operations Research
• Optimization
• +۳ مورد دیگر

Prof. Czesław Smutnicki is the Dean and Head of the Department of Computer Engineering at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His research focuses on manufacturing systems, operations research, and optimization, with a particular emphasis on scheduling algorithms and metaheuristics. Current Position: Dean, Department of Computer Engineering Institution: Wrocław University of Science and Technology Research Areas: Cyclic scheduling, Lagrangian relaxation, quantum annealing, and multi-criteria optimization Recent publications show a trajectory from classical scheduling (1996-2018) to modern applications involving quantum computing and distributed systems. The articles cluster around three main themes: (1) quantum-enhanced scheduling optimization, (2) Lagrangian relaxation techniques for tardiness minimization, and (3) robust scheduling under uncertainty in multi-vehicle/worker environments. Contact: czeslaw.smutnicki@pwr.edu.pl

• Computer Science
• Software Defined Networks
• Network Optimization
• +۵ مورد دیگر

Dariusz Gąsior, PhD is a faculty member at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , affiliated with the Department of Computer Science and Systems Engineering . His work focuses on network optimization, resource allocation, and machine learning applications in software-defined systems. Research Interests: Software Defined Networks (SDN), Fog/Cloud Computing, Autonomic Systems, Game Theory, Algorithm Design Key Contributions: Developed self-optimizing SD-WAN protocols, game-theoretic resource allocation models, and hybrid fog-cloud computing frameworks Methodologies: Applied algorithm design, machine learning, and stochastic optimization to network management challenges Publications Highlights (2018-2024) cover SD-WAN optimization, QoS in autonomic networks, and hybrid computing systems. His work spans interdisciplinary topics from transportation scheduling to ethical data sharing.

• Cloud Computing
• Database Systems
• Parallel Processing
• +۳ مورد دیگر

Mariusz Fraś is a researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. He works within the Department of Computer Science and Systems Engineering , focusing on computational systems' performance and cloud-based architectures. His research spans database optimization, parallel processing, and mobile application frameworks. Research interests include: Computational cloud scalability and cost optimization Database application performance analysis Parallel processing frameworks Mobile sensor data processing Web content delivery efficiency His publications demonstrate expertise in cloud computing trends, with 10 peer-reviewed works since 2014. Notable collaborations include researchers like Piotr Karwaczyński and Bogdan Marczuk. Current research likely continues exploring hybrid cloud environments and software performance metrics. Contact: mariusz.fras@pwr.edu.pl , Room 301, Building C-3, Wrocław University of Science and Technology.