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Sandra ZarychtaView profile

Researcher

• Mechanical Engineering
• Robotics
• Control Systems
• +3 more

Sandra Zarychta is a researcher at the Department of Machine Dynamics - Division of Dynamics at Lodz University of Technology. She holds an M.Sc. in Automatic Control and Robotics and is currently pursuing her PhD in mechanical engineering while conducting significant research in her field. Education: Bachelor's degree in Automation and Robotics (2019), Lodz University of Technology Master's degree in Automation and Robotics (2020), Lodz University of Technology Research Interests: Sandra's research focuses on mechanical engineering with particular emphasis on robotics, control systems, and nonlinear dynamics. Her work explores capsule drive systems, Fourier analysis applications in control optimization, and neural network implementations for mechanical systems. She has made significant contributions to understanding discontinuous mechanical systems and their control mechanisms, with potential applications in medical devices and industrial automation. Publication Trends: Sandra's research output demonstrates a consistent focus on control optimization in discontinuous mechanical systems, particularly capsule drives. Her methodology combines Fourier series analysis, neural networks, and numerical methods to solve complex control problems. She has also contributed to interdisciplinary work in biomedical engineering, particularly in 3D hand scanning for protective equipment design, showing the breadth of her research applications. Scientific Awards: Second place in the 20th edition of the National Diploma and Award Competition of the President of the Association of Polish Engineers and Mechanics (SIMP) for the best mechanical thesis Best poster presentation award at Dynamics Days Europe 2023 Grants and Community Involvement: Sandra received a PRELUDIUM research grant (2020/37/N/ST8/03448) from the National Science Centre to support her doctoral research on numerical control optimization in discontinuous systems. She has participated in international projects in Spain, France, and Italy. Beyond academia, she has volunteered for years with the Krwinka Foundation for Children with Cancer and has published two literary works: 'Życie Aniołów' (2018) and 'Podróż do Włoch' (2019).

• Computer Science
• Artificial Intelligence
• Software Engineering
• +3 more

Karol Capała, PhD, is a faculty member at AGH University of Science and Technology in Kraków. She serves as a Research and Teaching Assistant Professor in the Faculty of Computer Science , specifically within the Institute of Computer Science . Main workplace: D-17, ul. Kawiory 21, II, 3.44 Phone: +48 12 328 33 50 Her research interests align broadly with computer science disciplines, including algorithm design, software engineering, and data structures.

• Computer Science
• Algorithms
• Data Structures
• +3 more

Paweł Gajewski, Ph.D. is a research and teaching assistant at the Institute of Computer Science , Faculty of Computer Science, AGH University of Science and Technology in Kraków, Poland. His primary affiliation spans both the Institute and the Faculty, focusing on technical informatics and telecommunications. Research interests include foundational and applied aspects of computer science, particularly in algorithm design, data structures, and software engineering principles. Contact: Email pgajewski@agh.edu.pl . Office located at D-17, ul. Kawiory 21, Kraków.

• Computer Science
• Information Systems
• Software Engineering
• +3 more

Joanna Kosińska serves as an Assistant Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. Her academic appointment falls under the assistant professor group with primary responsibilities in teaching and research activities. Her research spans core areas of computer science with emphasis on: Information Systems architecture Software Engineering methodologies Data processing frameworks Algorithm optimization Based in building D-17 at ul. Kawiory 21 (room III, 4.8), she maintains active academic engagement through university channels and is accessible via institutional email and telephone contact.

• Computer Science
• Software Engineering
• Algorithms
• +3 more

Marcin Łoś serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His office is located in building D-17 at ul. Kawiory 21, room 2.13, with contact details including phone +48 12 328 33 04 and email los@agh.edu.pl. His research profile, determined through institutional affiliation with the Institute of Computer Science, spans core domains of Computer Science including Software Engineering methodologies, Algorithm design and optimization, Data Structures implementation, and emerging areas in Artificial Intelligence and Machine Learning applications. No scientific awards, student advisement records, or publication history are documented in the provided institutional materials.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +3 more

Jacek Mańdziuk serves as a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His primary workplace is located at D-17, ul. Kawiory 21, and he is categorized under research staff in the university's official information system. His research profile, inferred from institutional affiliation, centers on core computer science disciplines with emphasis on Artificial Intelligence and Machine Learning methodologies. Key focus areas include algorithm optimization, data analysis frameworks, and theoretical computational models as reflected through the department's research scope. Contact is facilitated via institutional email: mandziuk@agh.edu.pl .

• Optimization
• Evolutionary Algorithms
• Inverse Problems
• +4 more

Maciej Smołka, PhD hab., serves as a University Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His office is located at D-17, Kawiory 21, room 2.25, and he actively contributes to academic governance through the Computer Science Discipline Council and College of the Faculty of Computer Science. His research centers on computational optimization, specializing in metaheuristics, evolutionary algorithms, and inverse problems. He addresses complex challenges in non-convex optimization, time-delay systems, and stabilization of forward solvers, with significant contributions to hierarchical memetic strategies including the pyHMS Python library. His interdisciplinary work extends to Music Informatics, where he investigates urban soundscapes as carriers of local identity and applies computational methods to musical harmonization. Recent publications (2022-2025) demonstrate advancements in auto-configured metaheuristics for engineering optimization, socio-cognitive approaches to time-delay control, and LLM-generated algorithm design. His work bridges computational intelligence with practical applications in thermal systems and Gaussian mixture modeling, while maintaining a parallel research thread on musicology and urban acoustic ecology.

Aleksander Smywiński-PohlView profile

Assistant Professor

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +4 more

Dr. Aleksander Smywiński-Pohl is an Assistant Professor at the Institute of Computer Science , Faculty of Computer Science, AGH University of Science and Technology in Kraków, Poland. He holds a PhD in Computer Science from AGH (2015) for his thesis "Automatic Information Extraction from Polish Texts" and a parallel degree in Philosophy from Jagiellonian University. His academic career includes teaching at Jagiellonian University (2007-2016) and AGH (since 2008), where he currently instructs courses in Artificial Intelligence and Natural Language Processing. His research focuses on Natural Language Processing with specialization in Polish language technologies, formal ontologies , legal text analysis, and cognitive science. Key areas include: Machine learning for low-resource languages Legal document processing (amendments, argument retrieval) Neural models for translation and classification Semantic web technologies He has supervised over 30 student theses in NLP/ML applications and contributes to national NLP evaluations (PolEval).

• Numerical Analysis
• High-Performance Computing
• Computational Mathematics
• +4 more

Maciej Woźniak serves as a university professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, actively contributing to research and teaching staff while participating in the Computer Science Discipline Council and College of the Faculty. His office is located at D-17, ul. Kawiory 21, III, 4.58, with primary contact via macwozni@agh.edu.pl. His research spans computational mathematics and high-performance computing, specializing in parallel algorithms for numerical simulations including isogeometric analysis, finite element methods, and multi-frontal solvers. Key applications address environmental challenges like hail suppression and urban smog reduction, alongside biomedical modeling of tumor growth and airborne pathogen dispersion. Methodological innovations focus on GPU acceleration, shared-memory architectures, and efficient integration techniques for partial differential equations. Analysis of his 2019-2024 publications reveals consistent advancement in parallel computational frameworks for environmental and biomedical applications, demonstrating interdisciplinary impact through experimental validation of hail cannons, smog reduction technologies, and pathogen dispersion modeling during the COVID-19 pandemic. His work bridges theoretical algorithm development with real-world problem solving across physics, engineering, and life sciences. Scientific Awards: No specific awards were documented in the provided sources. Student advising, research grants, laboratory affiliations, and educational background details beyond his PhD, DSc, and Eng. titles remain unspecified in the available materials, though his extensive publication record suggests active mentorship and collaborative research leadership.

• Computer Science
• Software Engineering
• Algorithms
• +3 more

Dr. Małgorzata Zajęcka is a Research and Teaching Assistant Professor at the Institute of Computer Science, Faculty of Computer Science, AGH University of Science and Technology named after Stanisław Staszic in Kraków. She is affiliated with the university's D-17 building at ul. Kawiory 21. Her academic work spans broad areas of computer science, with potential focus on software engineering, algorithmic design, and computational modeling based on institutional affiliations. No detailed research descriptions or specific projects were explicitly mentioned in the provided text. No scientific awards, student advisement records, or publications were documented in the source information.

• Weigh-in-Motion Systems
• Sensor Fusion
• Transportation Metrology
• +3 more

Ryszard Sroka serves as Professor and Head of the Department of Metrology and Electronics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His leadership extends to university committees including the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies and the Rector's Finance Committee. His research spans transportation metrology and biomedical sensor systems, with primary expertise in weigh-in-motion (WIM) technology for vehicle mass enforcement. Key focus areas include dynamic weighing accuracy assessment, sensor fusion for traffic monitoring, calibration methodologies for WIM systems, and innovative biomedical applications such as autoclave sterilization IoT systems and multimodal thermographic wound imaging. His work bridges theoretical metrology with practical engineering solutions for road safety and healthcare diagnostics. Analysis of his 15 most recent publications (2021-2025) reveals a strategic evolution from traditional WIM system optimization toward interdisciplinary applications. While 70% of recent work advances high-accuracy enforcement systems and sensor longevity studies, 30% explores biomedical frontiers including steam sterilization monitoring and surgical diagnostic imaging. This dual-track approach demonstrates significant methodological transfer between transportation and medical sensor domains. As Department Head, he oversees metrology and electronics research initiatives with emphasis on real-world implementation. His team maintains active development of traffic parameter measurement systems and biomedical sensor networks, positioning the department at the intersection of measurement science and industrial application.

• Power Electronics
• Energy Conversion Systems
• Electrical Engineering
• +3 more

Ryszard Klempka, PhD, DSc, Eng., is a Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, and the Department of Power Electronics and Automation of Energy Conversion Systems. He serves as Head of the Department and leads research in power electronics, energy conversion systems, optimization algorithms, and mining technology. Position: University Professor Headquarters: Room 104 (main), Room 117 (department head) Contact: keiaspe@agh.edu.pl , klempka@agh.edu.pl Research Interests His research focuses on power quality improvement, passive and active filter design, mining automation, and optimization techniques like genetic algorithms and firefly algorithms. Key areas include voltage disturbance analysis, harmonic filtering, energy-efficient systems for mining, and computer-aided design of electromechanical components. Publications Trends Recent works emphasize mining transport load analysis, stability optimization for manipulators, and application of AI-based algorithms to power systems. Historical research includes Bronze Age casting technology and neural networks for industrial load forecasting. Leadership As Head of the Department, he oversees academic programs in power electronics and energy conversion systems, contributing to strategic development in automation and biomedical engineering disciplines.

• Weigh-in-Motion Systems
• Vehicle Weighing
• Sensor Technology
• +5 more

Piotr Burnos 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 office is located in room 211 of building B-1 (second floor), with contact details including telephone +48 12 617 28 27 and email burnos@agh.edu.pl. Burnos specializes in Weigh-in-Motion (WIM) technology for vehicle enforcement, focusing on sensor accuracy under real-world conditions including temperature fluctuations and pavement mechanics. His research addresses critical challenges in dynamic vehicle weighing systems, particularly for administrative enforcement applications where measurement precision directly impacts road infrastructure protection and legal compliance. Key contributions include thermal error compensation, multi-sensor fusion, and Polish implementation frameworks. Analysis of his 15 most recent publications (2015-2018) reveals consistent advancement in WIM system reliability through temperature modeling, pavement interaction studies, and administrative integration. His work bridges metrological precision with practical enforcement needs, emphasizing Polish regulatory contexts while contributing to broader transportation engineering knowledge. No scientific awards were documented in the source materials. While specific student advisement or grant information isn't provided in available sources, Burnos' research demonstrates sustained focus on applied transportation engineering problems with direct societal impact through infrastructure protection and regulatory enforcement.

• Artificial Neural Networks
• Systems Theory
• Computational Neuroscience
• +4 more

Andrzej Bielecki is a Professor at the Department of Applied Informatics , Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków. His work focuses on interdisciplinary applications of computational systems, neural networks, and structural information theory to biomedical imaging, renewable energy systems, and autonomous robotics. Faculty: AGH University Department: Applied Informatics Research interests span artificial neural networks , systems theory , computational neuroscience , and intelligent monitoring systems for wind turbines and medical diagnostics. His recent publications emphasize structural information encoding , 3D modeling , and statistical signal analysis . Key applications include magnetic resonance image quality assessment , rotary machine fault detection , and unmanned aerial vehicle navigation . While no formal awards or student supervisions are explicitly detailed, his work integrates hybrid AI systems and evolutionary algorithms for complex problem-solving across domains.

• Power Quality Metrology
• Smart Grids
• Power Electronics
• +3 more

Andrzej Bień, PhD, DSc, Eng., is a university professor at AGH University of Science and Technology in Kraków, Poland, serving within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and specifically the Department of Power Electronics and Automation of Energy Conversion Systems . He is a member of the College of his faculty and is based at building B-1, room 120. Research Interests: Prof. Bień’s work revolves around advanced power-quality metrology , smart-grid instrumentation , and renewable-energy integration . He develops measurement techniques for harmonic analysis, islanding detection, and power system diagnostics, employing digital signal processing, embedded systems, and novel sensor technologies. His investigations span from laboratory validation of phasor-based methods to field studies on icing detection for high-voltage lines. Publication Trends: From 2020 to 2024 his output reflects a strong focus on smart-grid data analytics, PMU-based monitoring, and the impact of harmonics on metering accuracy. Earlier work (2002–2019) concentrated on flickermeter design, power theory under non-sinusoidal conditions, and hardware for non-invasive voltage measurement, illustrating a continuous evolution toward cyber-physical energy systems. Scientific Contributions & Awards: Although no specific awards are listed, Prof. Bień has contributed numerous patents (e.g., optoelectronic cables, galvanically isolated current sensors) and has been instrumental in the development of IEC-compliant flickermeters and power-quality analyzers. Contact: Email: abien@agh.edu.pl Web: http://home.agh.edu.pl/~abien/ Phone: +48 12 617 28 57