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Magdalena Szymczyk is a Lecturer in the Department of Biocybernetics and Biomedical Engineering at AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. Her work bridges embedded systems, biomedical signal processing, and geophysical data analysis. Research focuses on energy-efficient sensor networks, neural networks for GPR data classification, and mathematical transforms in signal analysis Expertise in parallel computing, real-time systems, and biomedical engineering applications Her publications (2015–2025) demonstrate a trajectory from parallel neural networks and S-transform/GPR methodologies to recent work on MicroPython in embedded systems. Key themes include energy optimization in distributed architectures and AI-driven signal processing across biomedical and geophysical domains. She has authored works on deterministic chaos in simulations, GPU image processing, and cybersecurity in microcontroller systems. Her current research emphasizes embedded systems security, medical signal diagnostics, and computational methods for geological analysis. She utilizes tools like OpenCL for GPU acceleration and MATLAB for parallel computing implementations.

• Embedded Systems
• Artificial Neural Networks
• Signal Processing
• +3 more

Filip Sondej is a Researcher at the Department of Cognitive Science within the Faculty of Philosophy at Jagiellonian University in Krakow, Poland. His work bridges cognitive science and artificial intelligence, focusing on critical safety aspects of modern language models and multi-agent systems. His primary research interests include AI safety, LLM unlearning techniques, Chain-of-Thought faithfulness, AI conflict resolution, and digital sentience. Sondej's work addresses fundamental challenges in ensuring that increasingly powerful language models behave safely and align with human values. Analysis of Sondej's publication record reveals a strong interdisciplinary focus combining cognitive neuroscience methodologies with AI safety research. His recent work demonstrates a clear trajectory from traditional cognitive neuroscience investigations toward cutting-edge AI safety mechanisms, particularly in developing methods for removing unsafe behaviors from language models while maintaining functionality. The publications show sophisticated integration of neural network analysis with human cognitive processes. Sondej collaborates extensively with researchers including Anna Grabowska and Magdalena Senderecka, appearing as co-author on multiple publications in high-impact journals such as NeuroImage, Cerebral Cortex, and Journal of Cognitive Neuroscience. His research program bridges theoretical cognitive science with practical AI safety applications.

• AI safety
• LLM unlearning
• Chain-of-Thought faithfulness
• +5 more

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

• Signal Processing
• Electronics
• Biomedical Engineering
• +5 more

Daniel Bejmert, PhD is an academic researcher at the Department of Electrical Power Engineering, Faculty of Electrical Engineering, Wrocław University of Science and Technology. His work focuses on power system protection with advanced signal processing and artificial intelligence techniques. Institution: Wrocław University of Science and Technology Faculty: Faculty of Electrical Engineering Department: Electrical Power Engineering Email: daniel.bejmert@pwr.edu.pl Research interests include: Analog and digital signal processing in power systems Multicriterial adaptive protection systems Digital simulation of transient phenomena Artificial intelligence applications for protection algorithms His publications demonstrate expertise in: Power system protection and control Transformer differential protection Islanding detection techniques Current transformer saturation analysis Frequency stabilization methods Neural network applications in power systems Contact details: Office: Building D-20, Room 418 Phone: +48 71 3493 Address: Janiszewskiego 8, 50-372 Wrocław

• Analog and Digital Signal Processing
• Multicriterial and Adaptive Systems for Power System Protection
• Digital Simulation of Transient Phenomena in Power Systems
• +1 more

Ireneusz Winnicki is a **Full Professor** at the **Military University of Technology**, affiliated with the **Faculty of Civil Engineering, Geodesy and Transport**. His research focuses on **meteorological modeling**, **numerical methods**, **remote sensing**, and **applied mathematics**, with applications in transport safety and environmental monitoring. **Research Interests**: He specializes in advanced numerical techniques for solving nonlinear systems (e.g., Newton’s method), high-order differential equation modeling (Beam–Warming, Lax-Wendroff), and radar-based precipitation intensity analysis. His work integrates atmospheric dynamics, image processing (Laplace contour filters), and parallel computing for weather forecasting and hazard prediction. **Collaborations and Impact**: He has extensive collaborations, notably with **Sławomir Pietrek** (14 joint publications). His research addresses critical challenges like frontogenesis/frontolysis modeling, MODIS satellite data analysis for visibility prediction, and urban development cartography in protected areas. **Awards and Recognition**: No scientific awards are explicitly mentioned in the provided texts. **Advising and Grants**: No advised students or specific grants are listed, though his work suggests involvement in research projects related to meteorological radar systems and numerical modeling.

• Meteorology
• Numerical Methods
• Remote Sensing
• +5 more

Tadeusz Więckowski is a Professor and Head of the Department of Telecommunications and Teleinformatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work bridges advanced electromagnetic theory with practical telecommunications systems. His research interests include: Electromagnetic Compatibility (EMC) of devices and systems Antenna theory and design Radio wave propagation Radiocommunication systems Gyrotron and microwave source technologies Testing methodologies for EMC infrastructure The recent publications highlight a strong focus on high-frequency electromagnetic systems, particularly gyrotrons for spectroscopy and electromagnetic compatibility testing. His work spans both theoretical modeling and experimental validation, with applications in telecommunications, broadcasting (e.g., DAB), and scientific instrumentation. There is also engagement with modern topics such as IoT testing, intrusion detection, and neural networks for document verification, indicating interdisciplinary reach. Tadeusz Więckowski leads the Department of Telecommunications and Teleinformatics, which is involved in the operation of the Laboratory for Electromagnetic Compatibility. This infrastructure supports advanced research in signal integrity and system compatibility.

• Electromagnetic Compatibility
• Antenna Theory
• Radio Wave Propagation
• +6 more

Bartosz Brusiłowicz is a researcher at the Department of Electrical Power Engineering , Faculty of Electrical Engineering , Wrocław University of Science and Technology. His expertise focuses on power system stability and digital signal processing applications in electrical networks. Research Focus: Voltage stability analysis in power systems Technical Expertise: Digital Signal Processing (DSP) for electrical networks Key Projects: Integration of renewable energy sources, fault current limiter coordination, non-linear load modeling Recent publications highlight his work on photovoltaic farm impacts on power quality , superconducting fault current limiter coordination , and non-linear load stability models . His research bridges theoretical analysis with practical applications in modern power systems.

• Power Systems
• Digital Signal Processing
• Voltage Stability
• +3 more

Paulina Tarara is a multidisciplinary academic and visual artist affiliated with the Akademia Sztuk Pięknych im. Jana Matejki w Krakowie , where she explores the intersection of Art & Science . Her research spans neuroscience, digital communication, and interspecies language , using data and visual symbols to create universal communication frameworks. Doctoral thesis: "Multimodal Exploration of the Interspecies Structure and Evolution of Language in Digital Communication" Key fields: Cognitive Science, Digital Aesthetics, Neurotechnology Her recent publications and exhibitions (2024-2020) include: Academic articles in Neuroinformatics Springer and inAW Journal Chapters in "Myth and Mythologies" publications 2024 installations: "Particles of Sound I & II" holographic concerts Selected Awards: 2017 A’Design Award in Graphics and Visual Identification 2024-2023 exhibitions: Sinzig Biennale, Spiš Artists Gallery, Silesian Philharmonic

• Cognitive Science
• Neuroscience
• Digital Communication
• +4 more

Grzegorz Kozieł is a Senior Lecturer at Lublin University of Technology, affiliated with the Faculty of Electrical Engineering and Computer Science and the Department of Computer Science. His research focuses on Information Security, Digital Signal Processing, and Cybersecurity, with additional interests in steganography, database systems, and network security. He has been involved in numerous projects, including the Integrated Development Programme of Lublin University of Technology and initiatives like Moodle ANMC and JCSI Resources. His academic contributions span over 50 publications, emphasizing comparative analyses of technologies such as smart home systems, programming languages, and database frameworks. Notable recent work includes studies on cybersecurity awareness among young learners, watermarking techniques for 3D models, and the application of Fourier transforms in sensor data analysis. Current projects include advancements in digital twin models for visually impaired individuals and participation in LubGame Conference 2025. Dr. Kozieł has received recognition through awards such as the Merit Medal for the City of Lublin (though explicitly awarded to departmental professors, it reflects his collaborative contributions). His teaching and research emphasize practical applications, including WordPress-based student projects and assessments of foreign language learning portals. He actively contributes to the development of IT education curricula, focusing on bridging academic training with industry needs.

• Information Security
• Digital Signal Processing
• Cybersecurity
• +3 more

Anna Grytsko, PhD, is a researcher at the Department of Telecommunications and Teleinformatics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. Her work focuses on modern telecommunications systems and teleinformatics applications, aligning with the department's emphasis on cutting-edge ICT research. Her current research explores areas such as network systems, digital signal processing, and communication protocols. While limited details about specific publications or awards are provided in the available text, her affiliation with this prestigious institution highlights her expertise in information and communication technology domains.

• Telecommunications Engineering
• Information Technology
• Network Systems
• +3 more

Dr. Andrzej Drwal is a Lecturer at the Department of Automation and Computer Science , Faculty of Electrical and Computer Engineering , Kraków University of Technology . His research focuses on electrical networks, optimal control, and signal processing. Academic Rank: Lecturer Institution: Kraków University of Technology Department: Automation and Computer Science Dr. Drwal's research spans Electrical Engineering , Control Systems , and Signal Processing . He has published extensively on energy-optimal signal distribution, voltage fluctuation minimization, and fractional-order digital filters. His work often involves Time-Domain Analysis and L1 Impulse Methods for complex linear networks. The 15 most recent publications highlight trends in Optimal Control of electrical systems, Power Quality improvements, and Fractional Order Systems . Key topics include Voltage Stability , Current Distribution , and Harmonic Component Modeling in networks with pulsed or periodic signals. Email: andrzej.drwal@pk.edu.pl

• Electrical Engineering
• Control Systems
• Power Quality
• +3 more

Dr. Michał Kowalewski serves as an Assistant Professor at the Department of Metrology and Electronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges theoretical electronics with practical embedded systems applications, focusing on metrological solutions for industrial and sensor networks. His primary research domains include Embedded Systems (specializing in microcontroller programming with ANSI C and AVR Assembler), Wireless Sensor Networks (particularly Z-Wave protocol implementations), Metrology (evaluating accuracy, linearity, and resolution in measurement systems), and Neural Networks for Sensor Applications . He has pioneered methods for random signal generation using DACs/ADCs, developed neural classifiers for corrosion modeling, and engineered Z-Wave-based measurement systems with mesh networking capabilities. Analysis of his 2015-2018 publications reveals a consistent trajectory toward wireless distributed measurement systems, with increasing emphasis on neural network integration for fault diagnosis and sensor classification. His work demonstrates strong interdisciplinary connections between analog circuit design, wireless communication standards, and machine learning applications in industrial metrology. Dr. Kowalewski frequently collaborates with researcher Z. Czaja on projects involving noise generation and analog circuit testing, though specific grant details remain unreported. His technical contributions span both theoretical frameworks (e.g., TCBF classifiers) and practical implementations (e.g., USB Z-Wave controllers using OpenZWave library in C++).

• Embedded Systems
• Wireless Sensor Networks
• Metrology
• +3 more

Tarek Gaber is a prominent academic researcher affiliated with the Faculty of Computers and Informatics at Suez Canal University and leads the Scientific Research Group in Egypt (SRGE). He maintains strong collaborative ties with international institutions including the University of Salford, Frankfurt University of Applied Sciences, and Ain Shams University, reflecting a globally engaged research profile. His research spans artificial intelligence, cybersecurity, blockchain, and smart systems with applications in agriculture, healthcare, aerospace, and industrial automation. Key areas include biometric authentication, satellite communication security, plant identification, and IoT-based monitoring systems. The body of his recent work demonstrates a trend toward secure, intelligent, and decentralized systems, particularly in using blockchain for space communications and federated learning for medical data. His publications appear in high-impact journals such as Computers and Industrial Engineering , Signal, Image and Video Processing , and Aerospace , with a strong citation record and an H-index categorized as 'Very High'. National Research Foundation National Institutes of Health Consejo Nacional de Ciencia y Tecnología Princess Nourah Bint Abdulrahman University International Atomic Energy Agency Deanship of Scientific Research, King Faisal University Wellcome Trust Nelson Mandela Metropolitan University VLIRUOS Petroleum Technology Development Fund He has supervised numerous research projects and likely mentors students through the Scientific Research Group in Egypt. While specific advisees are not listed, his leadership role implies active academic guidance. Dr. Gaber is associated with advanced research facilities and has contributed to over 100 publications. His work is supported by diverse international sponsors, highlighting the global relevance and interdisciplinary nature of his research.

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +7 more

Emilia Zabielska-Mendyk is an Assistant Professor at the Department of Experimental Psychology, Faculty of Social Sciences, John Paul II Catholic University of Lublin. Her interdisciplinary work bridges cognitive psychology, neuroscience, and psychophysiology. Focus on EEG-based research Specializes in motor cognition and empathy Collaborations with Ministry of Science and Health Research interests include neural mechanisms of cognitive processes, with emphasis on motor imagery, memory systems, and social neuroscience. She applies advanced signal processing and statistical techniques to analyze brain activity patterns. Her recent publications span topics like gaming disorder, social media impact, and neural correlates of aesthetic judgments. Funded projects address cognitive aging, brain-computer interfaces, and media psychology phenomena. Active in teaching psychology and cognitive science curricula, she contributes to both academic education and scientific discourse through empirical research. Her laboratory focuses on methodological innovations in EEG data analysis and experimental paradigms.

• Cognitive Neuroscience
• Psychophysiology
• Motor Cognition
• +5 more

Tomasz Makowski is a Lecturer at the Department of Infotronics and Cybersecurity within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. His work focuses on automation systems, control engineering, and cybersecurity, with active collaborations in robotics and IoT projects. Current affiliation: Cracow University of Technology Academic rank: Lecturer Research interests include: Automation systems and PLC programming 3D printing and Fusion 360 modeling Robotics and sensor networks Human-machine interfaces (HMI) and RFID technology Recent publications highlight applications in: Electromagnetic launcher control 3D printing integrations Smart greenhouse automation Experimental PID algorithm testing Mobile delivery robotics

• Automation Systems
• Control Engineering
• Cybersecurity
• +5 more