جست‌وجوی استاد و پژوهشگر

• Numerical Analysis
• High-Performance Computing
• Computational Mathematics
• +۴ مورد دیگر

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.

• Cloud Computing
• Educational Technology
• Computer Networks
• +۴ مورد دیگر

Sławomir Zieliński is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. His academic role involves teaching and research focused on cloud technologies and educational informatics. He maintains an office at D-17, ul. Kawiory 21, and can be contacted via email at slawek@agh.edu.pl or phone at +48 12 328 33 77. Zieliński's research explores intersections between cloud computing and educational technology, particularly: Cloud-native applications and serverless architectures for environmental monitoring Automated orchestration of educational services in cloud environments IoT-enhanced collaborative learning platforms Software-defined networking optimizations Remote teaching methodologies and pandemic-responsive education systems Performance evaluation frameworks for distributed systems His work demonstrates consistent innovation in adapting cloud infrastructure to educational challenges. Recent publications (2015-2024) reveal strong thematic focus on cloud-based educational technologies, distributed systems optimization, and pandemic-era teaching solutions. Dominant research threads include: Cloud infrastructure for remote education (6+ publications) Performance evaluation methodologies for networks and cloud services (4 publications) IoT integration in educational ecosystems (3 publications) Serverless computing applications in environmental systems

Marek Kałuszkaمشاهده پروفایل

استاد

• Actuarial Science
• Insurance Mathematics
• Risk Theory
• +۳ مورد دیگر

Professor Marek Kałuszka is a research and teaching university professor at the Insurance and Capital Markets Department, Faculty of Fundamental Problems of Technology, Lodz University of Technology. His career spans over three decades with significant contributions to actuarial science, risk theory, and fuzzy integrals. PhD advisees: Wojciech Antoniak (1999), Michał Boczek (2016), Michał Krzeszowiec (2013) Email: kaluszka@p.lodz.pl | Room: 168 | Phone: +48 42 631-38-59 Research focuses on: Actuarial mathematics and premium calculation principles Fuzzy integrals and their applications in risk modeling Portfolio immunization strategies and financial risk management Generalized Sugeno integrals and copula-based aggregation Applications of fuzzy measures in insurance and decision theory Mathematical inequalities for fuzzy integrals and risk assessment Recent publications (2021-2025) demonstrate expertise in: Extended Choquet-Sugeno operators for multi-valued data Benchmark-type generalizations of Sugeno integrals Monotonicity properties in fuzzy aggregation Prékopa-Leindler type inequalities for Sugeno integrals Generalized level measures with conditional aggregation Survival functions based on fuzzy operators

• Weigh-in-Motion Systems
• Sensor Fusion
• Transportation Metrology
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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
• +۵ مورد دیگر

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.

• Power Quality Metrology
• Smart Grids
• Power Electronics
• +۳ مورد دیگر

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

• Computer Science
• Artificial Intelligence
• Smart Cities
• +۵ مورد دیگر

Sebastian Ernst is a Lecturer 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 research focuses on Computer Science , Artificial Intelligence , and Smart Cities , with a strong emphasis on Geographic Information Systems (GIS) and Energy Efficiency in urban environments. University: AGH University of Science and Technology Faculty: Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Applied Informatics Position: Lecturer Contact: ernst@agh.edu.pl Office: C-2, 4th floor, room 424 Phone: +48 12 617 51 95 His recent publications highlight trends in Graph-Based Modeling , Smart Lighting Systems , and Robust Algorithm Design for urban infrastructure. He explores Pairwise Comparisons , GIS Applications , and Energy Conservation through computational methods.

• Graph transformations
• Smart city technologies
• IoT networks
• +۶ مورد دیگر

Leszek Kotulski is a Professor at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His office is located in building C-2, 4th floor, room 425, with contact number +48 12 617 51 93 and email kotulski@agh.edu.pl. He serves on the Disciplinary Council for Technical Information Technology and Telecommunications. Professor Kotulski's research focuses on graph-based computational methods applied to smart city infrastructure, particularly in energy-efficient street lighting systems and IoT networks. His work integrates graph transformations, multi-agent systems, and spatial data processing to optimize urban infrastructure. He has developed innovative approaches for digital twin generation, lighting system modernization, and energy conservation in urban environments. His research bridges computer science with practical urban engineering challenges, creating solutions that improve both efficiency and sustainability of city infrastructure. Analysis of his recent publications reveals a clear research trajectory focused on applying graph theory to urban infrastructure challenges, with a particular emphasis on lighting systems. His work demonstrates increasing sophistication in integrating IoT networks with graph-based computational models, evolving from basic lighting control systems to comprehensive smart city solutions involving digital twins and distributed network configurations. The interdisciplinary nature of his research connects computer science, electrical engineering, and urban planning, with consistent contributions to both theoretical frameworks and practical implementations. Professor Kotulski has made significant contributions to the field through his development of graph-based methods for optimizing public lighting systems, energy conservation in smart cities, and spatial data processing techniques. His work on reactive power compensation algorithms for street lighting and graph-based approaches to lighting retrofit projects demonstrates practical applications of his theoretical research. His research activities include leadership in the GRADIS (Graph-based Distributed Adaptive Design) project and contributions to the Alvis modeling language for embedded systems. He has developed multi-agent systems supporting automated photometric computations and large-scale lighting design, creating frameworks that enable more efficient urban infrastructure planning and management.

• Decision Support Systems
• Operations Research
• Machine Learning
• +۳ مورد دیگر

Konrad Kułakowski is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His research spans multiple domains including decision support systems, operations research, and robotics, with a focus on pairwise comparisons methods and their applications in optimization problems and automated systems. Affiliation: AGH University of Science and Technology School: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Applied Informatics His research interests center on improving accuracy and resilience in pairwise comparisons methods, detecting manipulation in decision-making processes, and optimizing path planning for automated guided vehicles (AGVs) in constrained environments. His work bridges theoretical advancements in decision analysis with practical applications in robotics, real-time systems, and biomedical engineering. Key trends in his recent publications include: Advancements in heuristic algorithms for pairwise comparisons matrices Applications of Monte Carlo simulations for method validation Path planning optimization for AGVs in irregular layouts Detection of manipulation in peer assessment frameworks Resilient aggregation techniques for secure judgments in AHP

• Electrical Engineering
• Metrology
• Power Systems
• +۳ مورد دیگر

Prof. Andrzej Wetula is a faculty member at AGH University of Science and Technology in Kraków, Poland. He currently holds the academic rank of Professor within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering , specifically at the Department of Metrology and Electronics . His work focuses on... Academic Rank: Professor Department: Metrology and Electronics Research Focus: Electrical Metrology, Power Systems, Automotive Sensors Prof. Wetula’s research interests span several domains of electrical engineering and metrology, particularly... The 15 most recent publications reflect trends in: high-voltage sensor design , automotive system validation , harmonic impedance analysis , and distributed real-time control . His work consistently integrates metrology principles with modern applications in smart grids and autonomous vehicles. As of available records, Prof. Wetula has not been recognized with scientific awards explicitly mentioned in public-facing data. His contributions primarily manifest through technical publications and patented sensor technologies.

• Computer Science
• Artificial Intelligence
• Cryptography
• +۳ مورد دیگر

Franciszek Seredyński is a Professor at the Institute of Computer Science, Faculty of Natural Sciences, University of Warsaw. His research focuses on applying Deep Learning and Nature-Inspired Methods to security issues, with a primary affiliation in computer and information sciences (100% discipline). His work spans diverse subfields including cellular automata, cryptography, genetic algorithms, learning automata, parallel programming, and SQL. A tag cloud derived from publications, projects, and citations highlights specific interests such as block ciphers , distributed systems , and generalized extreme value distribution . With 73 documented publications, his bibliometric indicators include an h-index of 11 (Scopus), 7 (Web of Science), a total impact factor of 6.2, SNIP of 15.933, and CiteScore of 4. His research is accessible through identifiers like ORCID 0000-0003-0206-8183 and institutional URN urn:uph-prod:UPH550e8f0fa90b4dd7bc2f7d1b44996855 .

• Deep Learning
• Nature-Inspired Methods
• Computer and Information Sciences
• +۵ مورد دیگر

Jarosław Skaruz is an Assistant Professor at the Institute of Computer Science , Faculty of Natural Sciences, University of Siedlce (UWS). His research focuses on applying Deep Learning and Nature-Inspired Methods to security challenges, with expertise in genetic algorithms, neural networks, and hybrid algorithms. Current affiliation: Institute of Computer Science, UWS Research domains: Security, Distributed Computing, Computational Intelligence His publication record includes 28 works with a cumulative impact factor of 6.169. ORCID ID: 0000-0002-6899-8634.

Maciej Hukمشاهده پروفایل

استادیار

• Contextual Systems
• Data Mining
• Artificial Neural Networks
• +۹ مورد دیگر

Maciej Huk is an Assistant Professor at Wroclaw University of Science and Technology, working in the Department of Applied Informatics within the Faculty of Information and Communication Technology. He has been affiliated with the university since 2007, previously working in the Department of Artificial Intelligence and Department of Security of Computer Systems before moving to his current department in 2016. His academic credentials include Ph.D. and D.Sc. degrees in Computer Science from Wroclaw University of Technology (2007, magna cum laude) and an M.Sc. Eng. degree in Computer Science (magna cum laude). Dr. Huk's research spans multiple areas of artificial intelligence and computer science, with particular emphasis on contextual systems, artificial neural networks, and machine learning. His work explores contextual neural networks, selective attention mechanisms, genetic algorithms, and ensembles of classifiers. He has developed several research software systems including H2O Snowflake for distributed training of contextual neural networks, CxNNS, GACS for context-sensitive text mining, and DYDO for educational applications. His research bridges theoretical computer science with practical applications in IoT, embedded systems, and robotics. His publication record shows consistent productivity with research spanning from 2006 to the present (2025), demonstrating evolving focus from foundational neural network research to more applied contextual systems. The publication trends indicate a strong specialization in contextual neural networks, with recent work expanding into biomedical applications (CRISPR-Cas9 analysis), educational technology (attendance systems), and energy optimization. His work consistently addresses the challenge of context representation and utilization in machine learning systems. Dr. Huk serves as an Academic Editor for PLOS ONE Journal and Evolving Systems Journal, and has reviewed over 130 papers since 2016 for journals registered in ISI Web of Science. He has been actively involved in the academic community as a program and organization committee member for numerous conferences including ACIIDS (2016-2021), ICCCI (2016-2020), and others. He has chaired special sessions on Intelligent and Contextual Systems at IEEE conferences. His professional activities extend beyond pure academia, including serving as Software Architect/Data Analyses Architect at Gigaset Communications since 2008, and organizing clinical research including the Phase 3 randomized multicenter clinical study NCT04952519 on amantadine treatment for COVID-19 patients. He is certified to organize clinical trials with human subjects through NIH NIAID Good Clinical Practices 2.0.

• Information and Communication Technology
• High Performance Computing
• Parallel Computing
• +۷ مورد دیگر

Dr. Jarosław Marcin Bylina serves as a Professor at Maria Curie-Skłodowska University in Lublin, Poland, where he leads the Department of Cybersecurity and Computational Linguistics within the Faculty of Mathematics, Physics and Computer Science. His academic profile shows active engagement in research and teaching activities with current office hours available for student consultations. His research spans critical areas in modern computing, with primary focus on High Performance Computing and Parallel Computing architectures. Specialized interests include optimization of multicore systems, Markov chain applications, sparse matrix algorithms, and energy efficiency in computational systems. His work frequently addresses challenges in Intel Xeon Phi architectures, task-based parallelism using Intel Cilk Plus, and performance analysis of distributed computing environments. Based on bibliometric analysis of his 40 publications, his research demonstrates significant impact in information technology fields with h-index values of 8 (Google Scholar), 7 (Scopus), and 4 (Web of Science). His work contributes to the broader discipline of Information and Communication Technology with particular emphasis on practical implementations in high-performance computing environments. Professional recognition includes a Total CiteScore of 20.8, Total SNIP of 7.874, and a ministerial score of 1,031 in the Polish academic evaluation system. His research output demonstrates consistent contribution to computational science with documented expertise across multiple technical domains. Available for academic consultations at Akademicka Street 9, room D-521, Lublin, with remote consultation options available through university Teams platform (code: jpq0hw9).