Find Academic Supervisors

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

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.

• Power Electronics
• Building Automation
• Smart Grids
• +7 more

Dr. Andrzej Ożadowicz is a University Professor at the Department of Power Electronics and Automation of Energy Conversion Systems 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 510, building C-1, with contact details including phone +48 12 617 50 11 and email ozadow@agh.edu.pl. He holds PhD, DSc, and Engineering degrees, reflecting his dual expertise in academic research and practical engineering applications. His research spans Power Electronics, Building Automation, Smart Grids, and IoT-driven energy systems. Key interests include energy efficiency optimization through digital twins and BIM, distributed energy resource integration , and AI-enhanced demand management . Notably, he pioneers applications of deep reinforcement learning in home energy systems and develops frameworks for Smart Readiness Indicator implementation. His work bridges theoretical innovation with practical case studies in building thermal modeling and dynamic façade systems. Recent publications (2021-2025) reveal three dominant trends: (1) Convergence of digital twin technology with building automation for real-time energy management; (2) Critical analysis of IoT security and interoperability in smart infrastructure; (3) Pedagogical innovations in engineering education through blended learning methodologies post-COVID-19. His scholarly output demonstrates consistent focus on energy transition challenges and smart grid evolution. Professor Ożadowicz actively contributes to the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies at AGH. He is instrumental in the AutBudNet initiative —a network of certified laboratories for energy efficiency assessment that implements "learning by doing" principles in building automation education. His work with this consortium emphasizes practical validation of smart grid technologies and demand response systems.

• Geomorphology
• Geomorphometry
• Geoinformatics
• +6 more

Leszek Ludwik Gawrysiak is a Professor at the Department of Geology, Soil Science, and Geoinformatics , affiliated with the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University in Lublin, Poland. His academic career includes habilitation in Earth and Environmental Sciences (2019), a PhD in Geomorphology (2003), and a master’s in Physical Geography (1993), all from UMCS. Education: Master’s in Physical Geography (1993), UMCS PhD in Geomorphology (2003), UMCS Habilitation in Earth and Environmental Sciences (2019), UMCS His research focuses on Geomorphology , Geomorphometry , and Geoinformatics , with applications in Loess Erosion , Gully Dynamics , and Environmental Risk Assessment . He employs GIS, LiDAR, and remote sensing techniques to analyze terrain segmentation, forest cover changes, and geomorphological impacts on land use planning. Projects include studies on extreme meteorological events, geopark development, and Polish-Belarusian-Ukrainian water policy in the Bug River basin. Recent publications emphasize Loess Landscapes , Proglacial Valley Morphology , and Gully Erosion , with methodological advancements in Digital Terrain Modeling and Geomorphon Analysis . His work bridges computational methods (e.g., GPU-accelerated topographic parameter evaluation) with field-based geomorphological studies in Svalbard and Eastern Europe. Scientific Awards: Award from the Polish Geomorphological Society for best PhD thesis (2002) Team Award from the Rector of UMCS (2010) Individual Award from the Rector of UMCS (2013) He has contributed to understanding Loess Area Geomorphodiversity , Forest Cover Dynamics , and Climate Change Impacts on landscapes. His collaborations span interdisciplinary studies in gully erosion, geotourism, and Holocene soil erosion rates. Contact: leszek.gawrysiak@mail.umcs.pl | Phone: +48 81 537 68 71

Anahita AzadgarView profile

Lecturer

• Urban Flood Risk Mitigation
• Nature-based Solutions (NbS)
• Urban Planning
• +3 more

mgr inż. arch. Anahita Azadgar is an Assistant Lecturer at the Department of Urban Architecture and Waterscapes, Faculty of Architecture, Gdańsk University of Technology. She is concurrently pursuing a PhD at the GdańskTech Doctoral School. Her research focuses on urban flood resilience, nature-based solutions (NbS), GIS applications, and climate adaptation strategies in urban environments. Education: PhD Candidate (GdańskTech Doctoral School), Master of Engineering in Architecture (mgr inż. arch. degree). Research Interests: Optimization of green infrastructure for flood mitigation Socio-economic impacts of urban planning GIS-based comparative urban studies Regenerative architectural education Post-pandemic urban space redesign Publications (2022-2025) emphasize: Multi-objective genetic algorithms for NbS deployment GIS comparative studies between Gdańsk & Rome Systematic review of urban flood models Integration of creative tools in architectural education Pandemic-driven urban space reconfiguration Spatial distribution of Tehran's community gardens Labs/Teams: Active in urban resilience research groups within the Faculty of Architecture, collaborating with institutions like the Department of Environmental Sciences (via co-authored works with Dr. Salata and Dr. Nyka).

• Fluid Mechanics
• Numerical Modeling
• Porous Media
• +6 more

Prof. Wojciech Sobieski is a faculty member at the Department of Mechanics and Fundamentals of Machine Design within the Faculty of Technical Sciences at the University of Warmia and Mazury in Olsztyn . His research focuses on fluid mechanics, numerical modeling, and porous media analysis, with applications in environmental engineering, hydraulic systems, and 3D printing. Academic Rank: Professor Scientific Discipline: Mechanical Engineering Key Research Areas: Tortuosity Analysis, Multiphase Flow, DEM Simulations His recent publications highlight advancements in computational methods for granular porous media, fluid flow modeling, and thermodynamic applications. Notable trends include the use of the Waterfall Algorithm for geometric analysis and sensitivity studies of numerical models like the Eulerian multiphase approach. He has contributed to understanding Forchheimer's laws and cavitation phenomena in hydraulic systems. Prof. Sobieski oversees the PathFinder Project , a research initiative focused on numerical modeling of porous media. His laboratory maintains infrastructure for multiphase flow simulations and particle-scale modeling. He has supervised 2 doctoral students to completion but currently has no active advisees.

• Computational Chemistry
• Molecular Modeling
• Structural Biology
• +5 more

Dr. Magdalena Ślusarz serves as an Adjunct Professor in the Department of Theoretical Chemistry at the Faculty of Chemistry, University of Gdańsk. Her research focuses on computational approaches to structural biology problems, particularly in viral immunomodulation and receptor-ligand interactions. Her research interests span computational chemistry , molecular modeling of protein structures , and structural analysis of viral immune evasion mechanisms . She specializes in applying molecular dynamics simulations, NMR spectroscopy data interpretation, and UNRES force field methodologies to study herpesvirus proteins (particularly UL49.5), opioid receptor interactions, and vasopressin receptor systems. Her work bridges theoretical chemistry with biomedical applications including viral pathogenesis and neuropharmacology. Analysis of her recent publications reveals a strong focus on herpesvirus immunomodulation mechanisms (2023-2024), particularly how viral proteins hijack cellular degradation pathways. Earlier work demonstrates expertise in computational structural biology methodologies including UNRES force field development for membrane proteins (2019) and protein structure prediction (2016-2020). Her research consistently applies molecular modeling to solve biomedical problems ranging from viral immune evasion to neuropharmacology. Dr. Ślusarz maintains active research in the Laboratory of Molecular Modeling at the University of Gdańsk, where she applies computational approaches to protein structure-function relationships. Her work involves collaborations across international research teams, particularly evident in large-scale projects like the WeFold consortium for protein structure prediction.

• Computer Vision
• Robotics
• Human-Computer Interaction
• +4 more

Włodzimierz Kasprzak is a Professor at the Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology. His research focuses on computer vision, robotics, human-computer interaction, and machine learning. He has contributed to advancements in human action classification, skeleton-based feature analysis, and multimodal interface design. Research Highlights: Development of lightweight classification models for human actions in video using skeleton-based features. Advances in multi-stream fusion techniques for image and video analysis. Design of embodied agent systems for cybersecurity event visualization and control. Awards and Recognition: 2024: Individual First Class Rector's Award for Scientific Achievements (2022-2023) 2021: Medal of the Commission of National Education 2011: Golden Cross of Merit His work integrates theoretical contributions with practical applications in robotics, surveillance systems, and human-centered technologies.

Bartosz GrzybowskiView profile

Adjunct Professor

• Artificial Intelligence in Chemistry
• Computer-Assisted Organic Synthesis
• Reaction Network Analysis
• +3 more

Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.

• Signal Processing
• Electronics
• Biomedical Engineering
• +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.

Igor WojnickiView profile

Professor

• Smart City Systems
• Graph-Based Computational Methods
• Energy-Efficient Lighting Control
• +4 more

Igor Wojnicki is a Professor at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, where he serves as Vice-Dean of the Faculty of Cooperation and Education. His primary affiliation is with the Department of Applied Informatics, where he maintains an active research laboratory focused on knowledge engineering and smart systems. His research spans multiple domains with evolving focus: Early career: Deductive databases and rule-based inference engines (PhD thesis on "A Rule-based Inference Engine Extending Knowledge Processing Capabilities of Relational Database Management Systems") Mid-career: Graph-based knowledge representation and Tabular Trees (XTT predecessor) Current focus: Smart city applications, particularly energy-efficient lighting control systems and graph-based urban data integration His recent publications demonstrate a clear trajectory toward applied urban computing, with over 15 significant papers in the last five years addressing smart city infrastructure optimization. Key themes include dynamic street lighting control, graph-based computational methods for urban environments, and energy conservation in public infrastructure. Wojnicki actively contributes to academic-practical collaboration through initiatives like the Green AGH Campus Project and IBM academic partnerships. His technical leadership includes development of the ReDaReS system for relational database knowledge processing and the Jelly View technology for advanced database queries. His laboratory maintains strong industry connections, particularly with IBM through student internship programs and technology transfer initiatives. The team produces both theoretical frameworks and practical implementations, with notable outputs including the Osiris GUI system and Magellan GPS software for Poland.

Daniel BejmertView profile

Researcher

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

• Smart-grid cyber-security
• Computer networks
• Artificial intelligence methods
• +4 more

Robert Czechowski, PhD , is an Assistant Professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , Poland, stationed in the Department of Telecommunications and Teleinformatics . His office is located in building D-20, room 421, and he holds regular consultation hours on Tuesdays 14:00–15:00, Wednesdays 15:00–17:00, and Thursdays 13:00–15:00. His research portfolio is centred on securing the next generation of electrical power systems. Core interests include: Cyber-security architectures for smart grids and micro-grids Artificial-intelligence-driven intrusion detection and prevention systems (IDS/IPS) Network protocols and time-synchronisation security in SCADA environments Simulation of information flow in complex, dynamically reconfigurable networks IPv4/IPv6 network design and security policy enforcement in power-system automation Database and expert-system solutions for real-time energy-management and fraud detection Between 2014 and 2019 he authored or co-authored more than fifteen peer-reviewed works. The publications reveal a clear longitudinal trend: early work established foundational security policies and good-practice guidelines, while later studies pivot toward advanced AI/ML techniques for anomaly detection and risk quantification in smart-metering infrastructures. A recurring theme is the integration of communication-protocol security (IEC 61850, PLC, IPv4/IPv6) with higher-level cyber-physical risk governance. Scientific recognitions: None explicitly mentioned in the supplied text. Advising & Grant activities: The provided material does not list specific doctoral or master’s students, nor does it enumerate funded projects. Laboratories & Teams: He conducts research within the Department of Telecommunications and Teleinformatics, leveraging university laboratories and the wider ICT Faculty infrastructure, although no dedicated lab name is specified.

Marek ZaradnyView profile

Researcher

• Microwave Engineering
• RF Filter Design
• Signal Processing
• +3 more

Marek Zaradny is a researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically within the Department of Telecommunications and Teleinformatics . His work focuses on microwave filter design, RF circuit synthesis, and signal processing. Research Interests : Microwave Engineering RF Filter Design Signal Processing Telecommunications Systems His recent publications explore advanced methodologies for bandpass filter synthesis, immittance transformations, and distributed network realizations. These contributions highlight his expertise in optimizing microwave circuits for improved performance and attenuation characteristics. Professional Affiliations : Wrocław University of Science and Technology Department of Telecommunications and Teleinformatics

Lucyna NykaView profile

Professor

• Urban Flood Resilience
• Nature-Based Solutions
• Waterfront Design
• +3 more

Prof. Lucyna Nyka serves as Professor and Head of the Department of Urban Architecture and Waterfront Spaces at the Faculty of Architecture, Gdańsk University of Technology. Her leadership role encompasses academic administration and research direction within this specialized department focused on climate-resilient urban design. Her research interests center on urban flood resilience , nature-based solutions , and waterfront adaptation strategies in the face of climate change. She employs advanced methodologies including GIS spatial analysis , multi-objective optimization algorithms , and comparative urban studies to develop practical frameworks for sustainable urban development. Her work bridges theoretical research with real-world implementation through numerous international projects. Recent publication trends reveal a strong focus on climate-sensitive urban environments , particularly examining the intersection of walkability and flood resilience in waterfront public spaces across the Baltic Sea Region. Her research portfolio demonstrates consistent evolution from theoretical explorations of architecture-water relationships toward actionable strategies for climate adaptation, with increasing emphasis on nature-based solutions and spatial optimization techniques since 2020. Prof. Nyka leads significant international research initiatives including the Horizon 2020 project 'SOS Climate Waterfront' (agreement 823901) and the 'Premium on the Horizon' funded initiative, both focused on improving waterfront adaptation strategies to climate change. Additional projects include 'Urban ElemenTREE' for smart green space development and the 'ENACT 15mC' initiative for neighborhood co-creation within the 15-minute city framework. Her department actively engages in practical implementation through projects like the revitalization of Potok Królewski stream on the university campus, demonstrating integration of academic research with tangible urban interventions. Current work emphasizes data-driven approaches to climate adaptation, particularly through nature-based solutions that address both flood risk and socio-economic considerations in urban planning.

• Cybersecurity
• Cryptography
• Information Security
• +7 more

Dr. Viktor Melnyk serves as an Assistant Professor in the Department of Applied Computer Science at the Institute of Mathematics, Informatics and Landscape Architecture within the Faculty of Natural Sciences and Technology at John Paul II Catholic University of Lublin. His academic activities span teaching, research, and extensive student supervision across multiple years. His research interests focus on cybersecurity, cryptography, and FPGA-based systems, with particular expertise in wireless network security (especially IEEE 802.15.4), hardware acceleration, and machine learning applications in electronic design. His work bridges theoretical computer science with practical security implementations, evident in his numerous publications and student thesis topics. Analysis of Dr. Melnyk's recent publications reveals a consistent focus on hardware security implementations, particularly for low-rate wireless networks and reconfigurable computing systems. His research trajectory shows increasing integration of machine learning techniques with traditional security protocols, reflecting broader trends in the field. The publications demonstrate both theoretical depth and practical implementation focus, with many papers addressing specific hardware implementations. Dr. Melnyk has served as an Independent External Expert for evaluating grant proposals in the European COST Open Call competition, indicating professional recognition of his expertise. His contributions to the academic community extend to reviewing numerous scientific articles across various domains including biomedical data processing, cyber-physical systems, and cloud computing. His academic advising is exceptionally active, with documentation of supervising over 100 diploma theses from 2015 through 2025 across both Bachelor's and Master's levels. The thesis topics consistently align with his research interests, covering cybersecurity, cryptography, network security, and hardware implementations. He teaches courses including 'Operating Systems,' 'Network Data Protection Technologies,' and 'Multimedia Systems,' with teaching materials adapted for remote delivery during the pandemic period.