جست‌وجوی استاد و پژوهشگر

• 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).

• Statistical Mechanics
• Complex Systems
• Sociophysics
• +۴ مورد دیگر

Krzysztof Malarz is an Associate Professor and Head of the Department of Applied Computer Science and Computational Physics at AGH University of Science and Technology's Faculty of Physics and Applied Computer Science. He leads the Complex Systems Group, focusing on interdisciplinary research bridging physics and social sciences. His editorial responsibilities include roles at Open Physics and PLoS One . Research interests span: Statistical mechanics of phase transitions Percolation theory in complex lattices Sociophysical models of opinion dynamics Network science and computational approaches to social systems Econophysics and wealth distribution Recent publications (2021-2025) demonstrate consistent focus on universality in percolation thresholds, social balance dynamics, and opinion formation models. Work frequently employs Monte Carlo methods, agent-based simulations, and analytical physics techniques to explore critical phenomena in social and physical systems. The Complex Systems Group under his leadership investigates emergent behaviors in networked systems, with resources including high-performance computing facilities. No funded projects or student advisees are detailed in available sources.

Wiktoria Stahlمشاهده پروفایل

استادیار

• Power Systems
• Demand Side Management
• Electric Vehicles
• +۲ مورد دیگر

Dr. Wiktoria Stahl is an Assistant Professor at Gdańsk University of Technology's Faculty of Electrical and Control Engineering, Department of Electrical Power Engineering. She obtained her PhD in 2023 specializing in automation, electronics, and electrical engineering. Her academic responsibilities include teaching diverse courses such as Energy Systems, Financial Management in Enterprise, and Numerical Methods, with several courses delivered jointly with Dezhou University. Her research focuses on power systems optimization , demand-side management strategies (DSM/DSR), and electric vehicle-grid integration (G2V/V2G technologies). Key research areas include analyzing household energy consumption patterns, developing algorithms for energy efficiency calculations, and assessing impacts of external factors like pandemics on power grids. Recent work utilizes econometric modeling and Monte Carlo simulations to forecast energy savings potential. Publications from 2018-2024 demonstrate consistent focus on energy management solutions, with articles addressing: DSM implementation methodologies COVID-19's impact on national power systems Electric vehicle charging infrastructure Power system load dynamics While no specific laboratory is mentioned, her teaching portfolio includes courses related to energy auditing, storage, and economic analysis in power systems. She maintains office facilities at the Faculty of Electrical and Automation Engineering building.

• Robotics
• Mechatronics
• Pipeline Inspection
• +۳ مورد دیگر

Professor Piotr Małka is affiliated with the Krakow University of Technology as a faculty member in the Department of Infotronics and Cybersecurity under the Faculty of Electrical and Computer Engineering . His work focuses on robotics, mechatronics, and infrastructure monitoring. Academic Rank: Professor Contact: piotr.malka@pk.edu.pl Research interests span mobile robot design for pipeline inspection , SLAM techniques in rough terrain, and intelligent infrastructure systems. His publications demonstrate expertise in: Robot kinematics and dynamics Control systems for tracked robots Structural health monitoring Smart water supply infrastructure Virtual prototyping of inspection systems Recent work shows increasing focus on autonomous navigation and cyber-physical systems integration for industrial applications.

• Distributed Systems
• Peer-to-Peer Networks
• Service-Oriented Architecture
• +۵ مورد دیگر

Professor Jerzy Brzeziński is a distinguished academic at Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Computer Science. With a career spanning several decades, he has established himself as a leading researcher in distributed systems and networking, maintaining active research productivity with publications as recent as 2022. Professor Brzeziński's research interests focus on distributed systems, peer-to-peer networks, service-oriented architecture, mobile ad hoc networks, and distributed shared memory systems. His work bridges theoretical foundations with practical applications, particularly in areas like gaming platforms, secure data exchange, and reliable communication protocols. Recent publications demonstrate continued innovation in sybil-proof data exchange mechanisms and broadcast protocols for mobile networks. Analysis of his publication trends reveals an evolution from foundational work on memory systems and consistency models in the early 2000s toward more applied research in peer-to-peer systems, gaming applications, and sustainable computing in recent years. His work consistently addresses core challenges in distributed computing while adapting to emerging technological contexts. Professor Brzeziński has supervised at least 10 doctoral students throughout his career, including Andrzej Stroiński, Michał Kalewski, and Łukasz Piątkowski. His mentorship has produced significant contributions to the field, with students researching topics like Petri Net models, reliable broadcast protocols, and server synchronization. His research is characterized by strong collaborative networks, frequently working with colleagues at Poznań University of Technology and former students. This collaborative approach has resulted in numerous high-impact publications in reputable journals and conference proceedings across the distributed systems domain.

• Control Systems
• Robotics
• Automation
• +۵ مورد دیگر

Professor Dariusz Horla is a faculty member at the Faculty of Automation, Robotics and Electrical Engineering at Poznań University of Technology, where he works in the Institute of Robotics and Machine Intelligence. He holds the title of Professor with a habilitation degree (dr hab. inż.) in automation and control engineering. His research focuses on advanced control systems, particularly anti-windup compensation techniques, model predictive control applications for nuclear power plants, UAV control systems, and fractional-order controllers. Professor Horla has published extensively across these domains, with recent work addressing challenges in cooperative control systems, optimization methods for control applications, and practical implementations of advanced control algorithms in real-world systems. Analysis of his recent publications (2015-2025) reveals a strong emphasis on practical control applications, particularly in nuclear power plant systems and unmanned aerial vehicles. His work bridges theoretical control methods with industrial implementation challenges, often focusing on optimization approaches and stability considerations in constrained systems. Professor Horla has supervised multiple doctoral students and has developed significant educational materials in control systems and automation. His intellectual property contributions include inventions related to UAV height control systems, demonstrating the practical impact of his research. His academic service includes participation in habilitation committees and development of educational materials that have shaped control engineering education at Poznań University of Technology.

• Random Number Generation
• Signal Synchronization
• Telecommunications
• +۶ مورد دیگر

Professor Mieczysław Jessa is a distinguished faculty member at Poznań University of Technology, serving in the Faculty of Information Technology and Telecommunications within the Institute of Multimedia Telecommunications. With a scientific discipline focused 100% on Information and Communication Technology, he has established himself as a leading researcher in random number generation, signal synchronization systems, and spectrum sensing techniques. His research interests center around hardware-based random number generators for cryptographic applications, precise synchronization of oscillators using GNSS signals, and advanced spectrum sensing methodologies. Professor Jessa's work bridges theoretical foundations with practical implementations, particularly in telecommunications security and precision timing systems. His recent publications demonstrate continued innovation in applying machine learning to spectrum sensing and developing low-complexity random number generation solutions for FPGAs. Professor Jessa maintains an active publication record with multiple articles in 2024-2025, reflecting his ongoing research contributions. His work spans both theoretical aspects of stochastic processes and practical implementations in measurement systems and secure communications. As an academic supervisor, Professor Jessa has guided doctoral research in areas including FPGA-based random sequence generation and spectrum sensing techniques, with documented supervision of three doctoral students through 2019. His technical contributions include the development of synchronization systems like the DST-16 clock distributors and SP-4000 measurement systems, demonstrating the practical application of his research in real-world telecommunications infrastructure.