جست‌وجوی استاد و پژوهشگر

• Surface Engineering
• Cutting Tools Technology
• Anti-wear Coatings
• +۶ مورد دیگر

Professor Maciej Kupczyk is a distinguished academic at Poznań University of Technology, where he serves in the Faculty of Mechanical Engineering, Institute of Mechanical Technology. With a career spanning several decades, he has established himself as an expert in surface engineering and cutting tool technology. His educational background includes a doctoral dissertation completed in 1988 titled "The influence of TiNₓ-Ti layer on modular chisels on selected technological quality indicators of teeth made of alloy structural steel for carburizing," supervised by Professor Kazimierz Wieczorowski. Professor Kupczyk's research primarily focuses on surface engineering , particularly anti-wear coatings for cutting tools. His work encompasses boron nitride coatings, sintered carbides, nanocrystalline materials, adhesion testing, and machining processes. He has made significant contributions to understanding how surface properties affect tool performance and longevity, with recent work exploring machine learning applications for predicting machining conditions and advanced composite coatings with improved fracture resistance. His recent publications (2021-2025) demonstrate continued research activity, with studies on theoretical adhesion models, machine learning applications in machining, superhard boron nitride composites, and surface topography effects on cutting tool performance. His notable achievements include: 53 scientific articles in peer-reviewed journals 46 book chapters in edited volumes 5 authored books on surface engineering and cutting tools Supervision of 5 doctoral dissertations Review of 6 doctoral dissertations Professor Kupczyk has supervised doctoral students including Jędrzej Komolka (2021), Piotr Siwak (2012), Przemysław Libuda (2007), Przemysław Cieszkowski (2007), and Witold Misiak (2003). His supervision focuses on cutting tool technology, surface engineering, and material properties. His book series "Surface Engineering" represents a significant contribution to the field, with volumes covering anti-wear coatings, cutting tools, and surface layer characteristics, providing comprehensive resources for students and professionals in manufacturing and materials engineering.

• Civil Engineering
• Road Infrastructure
• Asphalt Materials
• +۴ مورد دیگر

Professor Mieczysław Słowik is a distinguished academic at Poznań University of Technology, holding a professorship in the Faculty of Civil Engineering and Transport, Institute of Civil Engineering. With a career spanning over two decades since his doctoral dissertation in 2001, he has established himself as a leading expert in road infrastructure materials and pavement engineering. His research interests focus on civil engineering with specialization in road infrastructure, asphalt materials science, pavement engineering, rheology of bituminous materials, and transport infrastructure diagnostics. Professor Słowik has made significant contributions to understanding modified asphalt binders, pavement performance evaluation, and innovative testing methodologies for road surfaces. Analysis of his recent publications (2023-2025) reveals a strong emphasis on advanced diagnostic methods for road surfaces, including spectral analysis techniques, neural network applications, and evaluation of modified asphalt binders. His work demonstrates a consistent focus on improving the durability and performance of road infrastructure through material science and innovative testing approaches. Professor Słowik has supervised multiple doctoral students, with recent dissertations covering topics such as cement concrete road surfaces durability, rheological properties of asphalt mastics, and load-bearing capacity of asphalt surfaces. His research output includes numerous scientific articles, book chapters, and reports that contribute significantly to the field of civil engineering. His methodology combines laboratory testing, field measurements using devices like the Falling Weight Deflectometer, numerical modeling, and increasingly, artificial intelligence techniques for pavement evaluation. This multidisciplinary approach has positioned him at the forefront of road infrastructure research in Poland.

Karol Chlastaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Artificial Neural Networks
• Machine Learning
• +۷ مورد دیگر

Dr. Karol Chlasta serves as an Assistant Professor in the Faculty of Management in Networked and Digital Societies at Kozminski University in Warsaw. He earned his doctoral degree in engineering and technical sciences from the Polish-Japanese Academy of Information Technology in 2023, defending his dissertation "Neural Simulation Pipeline for Liquid State Machines" with distinction (summa cum laude). His academic journey includes a Master's degree in Economic Computer Science from the University of Economics in Krakow (2008) and postgraduate studies in Business Analytics at Warsaw University of Technology (2015). Dr. Chlasta's research spans artificial intelligence, particularly neural networks and machine learning, human-computer interaction, and information management. His recent publications demonstrate expertise in AI applications for mental health screening through eye-tracking and speech analysis, sentiment analysis of social media data for migration studies, and innovative virtual reality interaction techniques. He has published consistently from 2020-2024 across multiple high-impact venues, with his work appearing in journals like Frontiers in Psychology, European Psychiatry, and Telematics and Informatics Reports, as well as conferences including ACM DIS and IEEE VR. His scientific contributions form several interconnected research threads: AI-based diagnostic systems for depression, anxiety, and dementia through biometric analysis Computational neuroscience tools including the Neural Simulation Pipeline deployable in cloud environments Sentiment analysis of social media data to understand migrant experiences during the pandemic Novel interaction techniques like VXSlate for virtual reality environments Dr. Chlasta has received notable recognition including the Scholarship of the Minister of National Education and Sport (2006) and the "Outstanding Leader" award from Aviva's global CIO (2017). His interdisciplinary approach bridges technical AI expertise with practical applications in healthcare, migration studies, and human-computer interaction. With over fifteen years of industry experience at major organizations including HP, IBM, and Aviva, Dr. Chlasta brings substantial real-world perspective to his academic work. Since 2022, he has served as Head of Technicus Poland, where he established and manages the Polish branch while developing the company's global IT and cybersecurity functions. He is also a certified specialist across multiple enterprise technologies and a member of several professional organizations including ACM and IEEE. His research approach integrates academic rigor with practical problem-solving, focusing on developing tools that address real-world challenges in mental health screening, migration support, and virtual interaction environments.

Małgorzata Ćwilمشاهده پروفایل

مدرس

• Machine Learning
• Esports
• Simulation Games
• +۳ مورد دیگر

Dr. Małgorzata Ćwil serves as a Lecturer in the Department of Quantitative Methods and Applications of Computer Science at Kozminski University, with industry experience at DaftMobile and REDS SA. Her academic profile integrates quantitative research with practical technology applications. Her research centers on machine learning for esports platforms, simulation game development for educational innovation, and transformative statistics pedagogy. She designs experiential learning tools that convert abstract quantitative concepts into engaging game mechanics, addressing challenges in intercultural communication and behavioral analysis. Dr. Ćwil's scholarly output demonstrates consistent interdisciplinary focus, particularly in leveraging simulation frameworks for scientific experimentation and educational enhancement, as evidenced by her 2019 award-winning research on prospect theory applications. Her accolades include: Rector's Award for Best Educators (2019/2020 academic year) Two Best Poster Awards at Kozminski University (2019-2020) Best Student Paper Award at International Simulation and Gaming Association Conference (2019) International Best Presentation Award in Singapore (2018) She has secured significant competitive funding from NCBiR and Erasmus+ for projects including Elympics (machine learning esports platform), Blend-IN (intercultural communication simulation), and CICERO VR (public speaking training). Her supervision emphasizes active learning through game-based problem solving and real-world data applications. Current initiatives build on her expertise in translating quantitative methods into accessible educational tools through simulation technologies and machine learning analytics.

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.

Artur Tomaszewskiمشاهده پروفایل

دانشیار

• Computer Networking
• Software-Defined Networking (SDN)
• Wireless Communication
• +۳ مورد دیگر

Dr. Artur Tomaszewski is an Associate Professor at Gdańsk University of Technology, working in the Department of Teleinformatics within the Faculty of Electronics, Telecommunications and Informatics. His office is located in Building A, room 149. His research interests include: Computer Networking Software-Defined Networking (SDN) Wireless Communication Network Optimization 5G Networks Network Security Dr. Tomaszewski's recent research focuses on advanced networking technologies, with particular emphasis on controller placement optimization in SDN architectures, coordinated spatial reuse in Wi-Fi networks, and network function virtualization in 5G systems. His work combines theoretical optimization approaches with practical networking applications, addressing challenges in network reliability, performance, and security. His publications from 2021-2025 demonstrate a consistent research trajectory in network optimization, with increasing focus on machine learning applications in networking and next-generation Wi-Fi standards. He has contributed to both theoretical frameworks and practical implementations in the field of computer networking. Dr. Tomaszewski collaborates with researchers internationally, as evidenced by his co-authorship on publications with scholars from various institutions worldwide. Contact information: Email: artur.tomaszewski@pg.edu.pl

Zbigniew Łubniewskiمشاهده پروفایل

دانشیار

• Geomorphology
• Deep Learning
• Remote Sensing
• +۳ مورد دیگر

Zbigniew Łubniewski serves as Associate Professor and Head of the Department of Geoinformation Systems at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His academic profile bridges earth sciences and artificial intelligence through innovative applications of deep learning in geomorphological research. His research interests include: Application of convolutional neural networks to glacial landform classification Digital elevation model processing for terrain analysis Integration of vision transformers in geospatial applications Development of space systems engineering curricula Dr. Łubniewski's recent work demonstrates how AI techniques can revolutionize traditional geomorphological methods that previously required labor-intensive manual analysis. His publications reveal a consistent focus on automating terrain classification processes while maintaining scientific rigor in interpreting geological features. As an academic leader, he has contributed to developing international educational programs addressing the growing demand for specialized space sector professionals in Europe. His administrative role as Department Head underscores his institutional impact beyond research contributions.

Stanisław Szczepańskiمشاهده پروفایل

استاد

• Antenna Design
• Microelectronics
• Machine Learning Applications
• +۳ مورد دیگر

Prof. Stanisław Szczepański is a Professor at the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research focuses on advanced antenna design, microelectronics, and the application of machine learning in electronic systems. His primary research interests include: Antenna Design and Optimization Frequency Reconfigurable Antenna Systems Machine Learning Applications in Electronic Design CMOS Sensor Development Wireless Communication Systems Microfluidic Technologies for Electronics Prof. Szczepański's recent publications demonstrate a strong focus on integrating machine learning techniques with traditional antenna design methodologies. His work spans from highly miniaturized frequency reconfigurable antennas to advanced slot antenna arrays operating at millimeter-wave frequencies. A significant portion of his research involves optimizing antenna parameters using artificial intelligence approaches to overcome computational limitations of electromagnetic simulations. Prof. Szczepański has led multiple research projects funded through the OPUS program, including: CMOS sensor with smart grid of pixels of layered structure for fast acquisition and simultaneous extraction of information from image (UMO-2016/23/B/ST7/03733) Mikroelektroniczny system wizyjny CMOS do endoskopii kapsułkowe z bezprzewodową transmisją danych i mocy zasilającej (UMO-2011/03/B/ST7/03547) He collaborates extensively with Prof. Sławomir Kozieł on projects related to antenna design and optimization, serving as co-investigator on projects focused on unsupervised specification-driven design of antenna structures and rapid quasi-global optimization of high-frequency components.

Grzegorz Fotygaمشاهده پروفایل

دانشیار

• Microwave Engineering
• Signal Processing
• Wireless Communication
• +۳ مورد دیگر

Dr. hab. inż. Grzegorz Fotyga serves as an Associate Professor in the Department of Microwave and Antenna Engineering at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His academic position places him within one of Poland's leading technical universities with a strong focus on engineering and applied sciences. Professor Fotyga's research spans multiple domains within electrical engineering and signal processing. His primary research interests include microwave engineering, signal processing algorithms, wireless communication systems, and optimization techniques for high-frequency applications. His work demonstrates particular expertise in developing novel algorithms for signal detection and analysis, with recent applications in drone signal identification and wireless body area networks for healthcare applications. The analysis of his recent publications (2022-2024) reveals a strong research trajectory focused on practical applications of signal processing and microwave engineering. His work bridges theoretical algorithm development with real-world implementation, particularly evident in his research on drone signal detection systems and wireless networks for disease prevention. The publications demonstrate consistent collaboration with colleagues at Gdańsk University of Technology across multiple projects. Professor Fotyga maintains an active research program with five documented publications in the last two years across reputable journals including IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES and SENSORS. His research shows a clear progression from fundamental microwave engineering topics toward more applied security and healthcare applications of wireless technologies.

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.

Paweł Kalinowskiمشاهده پروفایل

استادیار

• gas sensors
• electronic nose
• data mining
• +۲ مورد دیگر

Dr. Paweł Kalinowski serves as an Assistant Professor at the Department of Functional Materials Engineering, Faculty of Electronics Telecommunications and Informatics, Gdańsk University of Technology. His office is located in Building A of the Faculty at room 811, with contact phone number 583472792 and email pawkalin@pg.edu.pl. He has taught 85 courses throughout his academic career at the institution. Dr. Kalinowski obtained his dr inż. (Doctor of Engineering) degree in 2018 in Electronics (Technology) from the Faculty of Electronics Telecommunications and Informatics. His research focuses on advanced sensor technologies with particular emphasis on gas detection systems and environmental monitoring applications. His primary research interests include gas sensors , electronic nose technology, and data mining techniques for sensor array analysis. His work addresses critical challenges in sensor technology such as baseline drift, fault detection in sensor arrays, humidity interference, and temperature modulation effects on semiconductor gas sensors. His research bridges electrical engineering with environmental science, developing practical solutions for air quality monitoring systems. Analysis of his publication record (31 total publications) reveals consistent research in gas sensor technology with increasing sophistication in data analysis methods. His most recent work (2019-2022) focuses on fault detection in sensor arrays and advanced signal processing techniques, while earlier publications (2013-2018) established foundational work in gas identification and environmental monitoring applications. His research demonstrates a clear trajectory toward more complex sensor network analysis and environmental applications. Dr. Kalinowski has contributed to both engineering journals like Sensor Review and Metrology and Measurement Systems , as well as environmental science publications including Science of the Total Environment , demonstrating interdisciplinary research impact. His teaching portfolio of 85 courses indicates substantial educational contributions to the Faculty of Electronics Telecommunications and Informatics, though specific course details aren't provided in the available documentation. His workplace in Building A suggests integration with the main electronics and telecommunications research facilities at Gdańsk Tech.

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.

Agata Kołakowskaمشاهده پروفایل

استادیار

• Anomaly Detection
• Time Series Analysis
• IoT Systems
• +۴ مورد دیگر

Dr. Agata Kołakowska serves as an Assistant Professor at the Department of Intelligent Interactive Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. Her research focuses on developing innovative solutions for data collection and processing in challenging environments, particularly in rural IoT ecosystems. Her primary research interests center around anomaly detection in sensor data , time series analysis , and edge computing solutions for resource-constrained devices. She specializes in implementing artificial neural networks on edge devices with limited computational capabilities and power supply, particularly in scenarios involving Unmanned Aerial Vehicles (UAVs) as nomadic gateways for data collection in areas with poor telecommunications infrastructure. Her recent publications (2022-2025) demonstrate a consistent research trajectory in developing methods for handling incomplete time series data, optimizing data transmission in rural IoT ecosystems, and creating efficient anomaly detection systems. Her work bridges theoretical computer science with practical applications in sensor networks and rural data collection systems. Dr. Kołakowska collaborates extensively with researchers including J. Dembski and B. Wiszniewski on projects related to UAV-based data collection systems and time series analysis. Her research has practical applications in environmental monitoring, rural IoT deployments, and tourism economics analysis.

• psychometrics
• survey methodology
• psychological assessment
• +۴ مورد دیگر

Marek Muszyński serves as an Assistant Professor at the Computational Social Sciences Unit within the Institute of Philosophy and Sociology, Polish Academy of Sciences (IFiS PAN) in Warsaw, Poland. His expertise centers on psychometrics and survey methodology with emphasis on measurement quality and response bias mitigation in social science research. Education: PhD (cum laude) in Sociology, Jagiellonian University, Kraków (2014) Postgraduate studies in Educational Measurement, Educational Research Institute & Jagiellonian University (2011) MA in Psychology, Jagiellonian University, Kraków (2011) His research focuses on identifying and mitigating response biases—including careless responding, response styles, and social desirability—using large-scale datasets from international surveys (ESS, PISA, PIAAC, TIMSS/PIRLS). Recent work integrates computer-based paradata (log data) and machine learning techniques, including large language models, for developing advanced measurement tools in social sciences. This interdisciplinary approach bridges psychometrics, educational assessment, and computational social science methodologies. Scientific Awards: Nominated for the “Polityka” weekly research prize (2023) Polish Prime Minister Prize for Best PhD thesis (2021) Prof. Jerzy Perzanowski Prize for Best MA thesis in cognitive sciences (2011) He leads significant research initiatives including NCN-funded projects on attention checks and IEA R&D grants for AI-driven item generation in educational assessments. His collaborative work spans OECD-commissioned reports, Saudi Ministry of Education projects, and industry partnerships with Diagmatic Limited for psychoeducational diagnostics. International collaborations include research stays at DIPF | Leibniz Institute in Frankfurt under DFG sponsorship, focusing on log-data applications for response bias detection. As core faculty in IFiS PAN's Computational Social Sciences Unit, he contributes to Poland's national research infrastructure through methodological innovations in survey design and data analysis, while maintaining active roles in international consortia including CONSIRT and IEA assessment frameworks.

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.