جستجوی استاد راهنمای دانشگاهی

• Control Systems
• Robotics
• Automation
• +۵ مورد دیگر

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.

• Random Number Generation
• Signal Synchronization
• Telecommunications
• +۶ مورد دیگر

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.

• Bioinformatics
• Computational biology
• Graph theory
• +۵ مورد دیگر

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.

• Environmental engineering
• Energy systems
• Heat supply systems
• +۵ مورد دیگر

Professor Tomasz Mróz is a distinguished academic at Poznań University of Technology, holding a position in the Faculty of Environmental and Energy Engineering, specifically within the Institute of Environmental Engineering and Building Installations. With the academic title of Professor ("prof. dr hab. inż.") and over 30 years of experience since completing his doctoral dissertation in 1994, he has established himself as a leading expert in environmental engineering and energy systems. Professor Mróz's research interests span environmental engineering, energy systems, heat supply systems, sustainable development of municipal infrastructure, building installations, energy efficiency, fuel cell technology, and water distribution systems. His work consistently bridges theoretical research with practical applications for industrial and municipal systems, focusing on developing tools and methodologies for energy management in built environments. Analysis of his 15 most recent publications reveals a strong focus on contemporary energy challenges, with particular emphasis on hydrogen fuel cell technology, industrial energy system optimization, waste heat recovery, and sustainable municipal infrastructure. His work demonstrates a progression from fundamental research on pollution control to applied research addressing current energy transition challenges. Professor Mróz has supervised six doctoral dissertations, mentoring the next generation of researchers in areas including positive energy balance buildings, water transport systems, ventilation systems in low-energy buildings, and sustainable gas system development. His academic supervision reflects his commitment to advancing knowledge in sustainable energy and environmental engineering. His extensive publication record includes 64 scientific articles, 35 book chapters, 6 books, and 13 research reports, demonstrating consistent scholarly contribution across multiple decades. Recent collaborations with industry partners like Viessmann highlight the practical relevance and application of his research in real-world energy systems.

• Power transformers
• Photovoltaic systems
• Electrical energy parameters
• +۲ مورد دیگر

Professor Ryszard Nawrowski is a distinguished academic at Poznań University of Technology, where he serves in the Faculty of Automatic Control, Robotics and Electrical Engineering within the Institute of Electrical Engineering and Industrial Electronics. With credentials including PhD, DSc, and Eng., he has established himself as a leading expert in electrical engineering with a particular focus on power systems and renewable energy applications. Professor Nawrowski's research interests span power transformer cooling systems, photovoltaic installations, electrical energy parameters analysis, and building-integrated renewable energy systems. His recent work (2022-2023) demonstrates continued active engagement in cutting-edge research, with publications in high-impact journals like Energies addressing critical challenges in electrical engineering and sustainable energy systems. The publication trends show a clear progression from fundamental electrical engineering topics to applied research in renewable energy systems, reflecting broader industry shifts toward sustainable energy solutions. His work bridges theoretical electrical engineering principles with practical applications in power systems and renewable energy integration. Active researcher with publications spanning from 2009 to 2023 Supervised 8 doctoral dissertations across various electrical engineering specializations Extensive editorial experience with conference proceedings and journal issues Professor Nawrowski maintains an active research program with multiple recent publications and ongoing supervision of doctoral candidates. His work demonstrates strong connections between academic research and practical engineering applications, particularly in the areas of transformer technology and photovoltaic systems.

Michał Czubenkoمشاهده پروفایل

دانشیار

• artificial intelligence
• artificial neural networks
• fuzzy logic
• +۱۰ مورد دیگر

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.

Wojciech Jędruchمشاهده پروفایل

دانشیار

• Feature Extraction
• Machine Learning
• Evolutionary Algorithms
• +۷ مورد دیگر

Dr. Wojciech Jędruch serves as Associate Professor at the Department of Intelligent Interactive Systems within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic profile shows consistent engagement in advanced research at the intersection of artificial intelligence, robotics, and cognitive systems. His research expertise spans multiple critical domains in modern AI development: Machine Learning techniques for dimensionality reduction Architectures for autonomous decision-making systems Self-organization principles in multi-agent frameworks Cognitive modeling for robotic applications Evolutionary approaches to system optimization Dr. Jędruch's work demonstrates strong interdisciplinary connections between computer science, cognitive psychology, and systems theory. Analysis of his publication record reveals a cohesive research trajectory focused on enabling intelligent systems to manage complexity through feature extraction and memory modeling. His work on shepherding problems demonstrates practical applications of autoencoders for managing large-scale agent collectives, while his research on economic modeling in multi-agent systems shows theoretical depth in emergent organizational patterns. As a member of the Department of Decision Systems and Robotics research team, Dr. Jędruch contributes to Gdańsk Tech's legacy in control theory that has evolved into contemporary artificial intelligence research. His work continues the institution's tradition of bridging mathematical systems theory with practical robotic implementations.

Jerzy Demkowiczمشاهده پروفایل

استادیار

• Geoinformation Systems
• Wireless Sensor Networks
• Remote Sensing
• +۴ مورد دیگر

Dr. Jerzy Demkowicz serves as an Assistant Professor at the Department of Geoinformation Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His academic work centers on geospatial information systems with emphasis on sensor network development and navigation technologies. His research spans wireless environmental monitoring systems, inertial navigation algorithms, and machine learning applications for remote sensing. Key contributions include solar-powered LoRa-based distributed sensor networks, IMU tilt measurement techniques for drone stabilization, MEMS modeling for underwater navigation, and novel GNSS positioning algorithms for urban environments. His Mars terrain analysis using convolutional neural networks demonstrates cross-domain application of deep learning. Recent publications (2022-2025) reveal consistent focus on algorithmic innovation for challenging environments—underwater, urban canyons, and extraterrestrial surfaces—through sensor fusion and numerical methods that improve accuracy without historical data dependencies. Scientific Awards: No awards documented in source material. Advising and Grants: Graduate student supervision and research funding details were not provided in available documentation. Laboratories: Specific laboratory affiliations or research teams were not specified in the source text.

Przemysław Falkowski-Gilskiمشاهده پروفایل

استادیار

• Geoinformatics
• Smart Cities
• IoT (Internet of Things)
• +۵ مورد دیگر

Dr. Przemysław Falkowski-Gilski serves as an Assistant Professor at the Department of Geoinformation Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges geospatial engineering with computational intelligence, focusing on real-world applications in urban environments and sensor networks. His primary research domains include: Geoinformatics and GNSS positioning systems IoT infrastructure for smart cities Swarm intelligence optimization algorithms Edge computing resource allocation AI-driven data analysis for urban mobility Recent publications (2024-2025) reveal a cohesive research trajectory addressing critical challenges in smart city resource management through UAV-assisted edge computing, Android-based urban navigation, and sensor ontology integration. His work consistently applies advanced optimization techniques—such as Golden Jackal and Beetle Swarm algorithms—to solve practical problems in geospatial data processing and IoT systems, demonstrating strong interdisciplinary methodology.

Marek Wójcikowskiمشاهده پروفایل

دانشیار

• Microelectronics
• Sensor Systems
• Air Pollution Monitoring
• +۳ مورد دیگر

Dr. Marek Wójcikowski serves as Associate Professor and Head of the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology, where he leads academic and research initiatives in microelectronics and sensor development. His research specializes in creating low-cost autonomous platforms for environmental monitoring, with emphasis on nitrogen dioxide (NO 2 ) and particulate matter (PM) detection in urban settings. He pioneers machine learning techniques for sensor calibration and correction, while extending expertise to radiation-tolerant electronics for space applications like satellite quantum key distribution systems. This interdisciplinary work bridges environmental science, embedded systems engineering, and data analytics to address critical air quality challenges affecting public health. Analysis of his 2024-2026 publications reveals consistent focus on real-world sensor deployment, machine learning optimization for field correction, and space-grade FPGA implementations. Key trends include urban air quality monitoring for drivers/public, integration of global data correlation methods, and development of cost-efficient measurement infrastructure targeting respiratory health impacts. Scientific Awards: No awards were documented in the source material. Advising and Grants: The provided text contains no information regarding graduate students, research grants, or funded projects under Dr. Wójcikowski's supervision. Labs and Teams: While his departmental leadership role implies oversight of Microelectronic Systems research infrastructure, specific laboratory names, team compositions, or collaborative groups are not disclosed in the available content.

Arkadiusz Szewczykمشاهده پروفایل

استادیار

• Noise Measurements
• Virtual Instruments
• Measurement Systems
• +۴ مورد دیگر

Arkadiusz Szewczyk serves as an Assistant Professor at the Department of Metrology and Optoelectronics within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research focuses on advanced measurement techniques for electronic components and energy storage devices. Dr. Szewczyk works in Building A of the Faculty, room 446, and can be contacted at phone number 583472140. His primary research interests include: Noise measurements in electronic devices Virtual instrument development Computer-controlled measurement systems Electronic technology and printed circuit board assembly Thermal analysis of energy storage components Analysis of Dr. Szewczyk's publication record reveals a consistent focus on applying noise measurement techniques to assess the quality and reliability of supercapacitors and fuel cells. His research demonstrates how low-frequency noise analysis can serve as a sensitive indicator of device degradation and state-of-health. The work often combines electrical measurements with thermal imaging to provide comprehensive evaluation methods for energy storage components. Dr. Szewczyk has made significant contributions to the field of electrical metrology, particularly in developing novel assessment methodologies for electrochemical devices. His research has practical applications in quality control processes for energy storage components and could inform future standards for reliability testing in this domain.

Jacek Rumińskiمشاهده پروفایل

استاد

• Biomedical Engineering
• Medical Image Processing
• Deep Learning for Medical Applications
• +۳ مورد دیگر

Prof. Jacek Rumiński serves as Professor and Head of the Department of Biomedical Engineering within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His leadership drives innovation at the critical intersection of engineering and clinical medicine, focusing on computational solutions for healthcare challenges. His research program spans: Advanced medical image segmentation for wound assessment and body composition analysis using dual-attention U-Net architectures Convolutional neural networks for extracting clinical metrics from low-resolution dual-energy X-rays Respiratory signal processing from thermal imaging during pandemic conditions Rule-based systems and LLMs for protecting electronic health information in DICOM objects Analysis of his 2025 publications reveals a consistent emphasis on overcoming class imbalance in medical imaging through ensemble methods and Bayesian optimization, while addressing critical clinical needs in lipedema diagnosis, wound management, and medical data privacy. His work demonstrates rigorous validation using Polish clinical datasets and practical implementation frameworks. As Department Head, Prof. Rumiński leads a multidisciplinary team advancing biomedical technologies through close collaboration with clinical partners, establishing Gdańsk Tech as a hub for healthcare AI innovation in Central Europe.

Andrzej Sobeckiمشاهده پروفایل

استادیار

• Blockchain
• Distributed Systems
• Internet of Things (IoT)
• +۳ مورد دیگر

Andrzej Sobecki serves as an Assistant Professor at Gdańsk University of Technology , affiliated with the Task Informatics Center . His contact details include email andrzej.sobecki@pg.edu.pl and phone +48 58 347 12 30 . He manages the SOA SOWI plagiarism detection system project funded by Poland's Operational Programme Knowledge Education Development. His research spans critical domains in modern computing: Blockchain applications for industrial infrastructure monitoring and healthcare data security Distributed systems integration in untrusted multi-vendor environments (IoMT) Advanced natural language processing for legal information retrieval Knowledge representation using neural embeddings of semantic graphs Software engineering challenges in service-oriented deployment pipelines Analysis of his 2020-2023 publications reveals consistent innovation in overcoming security and interoperability barriers through cryptographic methods and neural language models. Key contributions address real-time data processing in industrial contexts, trust frameworks for medical IoT, and efficient legal document analysis – demonstrating strong interdisciplinary collaboration across computer science, law, and healthcare engineering. Scientific recognition: No awards or fellowships documented in source materials Academic service and funding: Principal investigator for SOA SOWI project (Operational Programme Knowledge Education Development) No student advisement records or additional grant details provided Institutional context: Active member of Gdańsk Tech's Task Informatics Center research group Collaborates with multiple academic and industry partners as evidenced by co-authored publications

Natalia Kowalczykمشاهده پروفایل

مدرس

• Biomedical Engineering
• Machine Learning in Healthcare
• Digital Twin Applications
• +۳ مورد دیگر

Natalia Kowalczyk serves as an Assistant Lecturer at the Department of Biomedical Engineering within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. Her academic profile demonstrates a strong focus on applying advanced computational techniques to solve critical healthcare challenges, particularly in maternal health monitoring and biomedical signal processing. Her research interests span multiple interdisciplinary domains including biomedical engineering, machine learning applications in healthcare, digital twin technology for medical diagnostics, and federated learning systems for privacy-preserving healthcare AI. Kowalczyk's work particularly emphasizes maternal health monitoring systems, respiratory signal analysis, and the application of synthetic data in medical diagnostics. Analysis of her recent publications reveals a consistent trajectory toward developing AI-driven healthcare solutions with practical clinical applications. Her research demonstrates expertise in machine learning algorithm development, particularly XGBoost and federated learning approaches, applied to obstetric healthcare challenges including preeclampsia prediction and gestational diabetes diagnosis. She also contributes to computer vision applications in biomedical contexts and edge computing for healthcare infrastructure. Natalia Kowalczyk collaborates extensively with researchers including J. Rumiński, M. Mazur-Milecka, and T. Kocejko across multiple healthcare technology projects. Her work bridges theoretical machine learning advancements with practical healthcare implementations, particularly in maternal health monitoring and pandemic response systems.

Robert Kałaskaمشاهده پروفایل

مدرس

• Internet of Things (IoT)
• Containerization
• Energy Efficiency
• +۳ مورد دیگر

Robert Kałaska is an Assistant Lecturer at the Department of Computer Systems Architecture within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His work focuses on computer systems architecture with particular emphasis on IoT systems and energy-efficient computing. Dr. Kałaska's research interests center around: Internet of Things (IoT) systems and applications Containerization technologies and their optimization Energy efficiency in computing systems Middleware deployment strategies Performance analysis of computer architectures His work bridges theoretical computer science with practical implementation challenges in modern distributed systems. His recent publications demonstrate a consistent focus on optimizing IoT systems through careful analysis of containerization, CPU affinity, and energy consumption. Kałaska's research shows a progression from fundamental performance analysis to practical implementation recommendations for real-world IoT deployments, with a growing emphasis on energy efficiency as evidenced by his 2025 publication. Dr. Kałaska actively contributes to academic discourse through publications in journals such as Applied Sciences-Basel and TASK Quarterly, addressing critical challenges in modern computing infrastructure. While specific information about research grants is not provided in the available text, his collaborative work with P. Czarnul suggests involvement in research projects focused on energy-efficient computing and web technologies.