Find Academic Supervisors

• Medical Ethics
• Bioethics
• Philosophy of Human Nature
• +3 more

Rev. Dr. Marcin Ferdynus serves as Assistant Professor at the Department of Ethics, Faculty of Philosophy, John Paul II Catholic University of Lublin. A Catholic priest ordained in 2006, he holds MA in Theology (2006) and PhD in Philosophy (2018) from KUL. His academic career spans teaching roles at European Integration College in Szczecin (2016-2017), pastoral care (2008-2016), and administrative positions including Educational Center Deputy Director (2017-2019) and scholarship recipient (2022). Research Interests Biomedical Enhancement Ethics Medical Futility vs Persistent Therapy Human Dignity in Healthcare Personhood Theory AI Moral Agency Catholic Bioethical Frameworks Recent publications analyze dignity's necessity in healthcare, comparative end-of-life policies, and AI limitations in psychotherapy. His research demonstrates strong international engagement through Erasmus+ internships at Oxford, Padua, Malta, and Slovakia institutions. Scientific Awards Prime Minister's Award for doctoral work (2017) Minister of Education Stipendium (2022) Komisja Edukacji Narodowej Medal (2022) KUL Publication Awards (2021, 2023, 2024) Academic Leadership Philosophy program coordinator (2024-) Scholarship Commission Chair (2023-) Editorial Board of Roczniki Filozoficzne (2019-) Organizer of interdisciplinary conferences International conference speaker (UK, Italy, Czech Republic)

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +3 more

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

Dariusz KrólView profile

Professor

• Knowledge Engineering
• Multi-agent Systems
• Data Quality
• +5 more

Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.

Grzegorz KorcylView profile

Assistant Professor

• Field Programmable Gate Arrays
• Data Processing on Programmable Logic Devices
• Real-Time Distributed Processing Systems
• +3 more

Grzegorz Korcyl, PhD, is an Assistant Professor at the Department of Information Technologies, Jagiellonian University in Kraków. He holds a PhD in Applied Computer Science from AGH University of Science and Technology (2015) and an MSc in Applied Computer Science from Jagiellonian University (2010). His research focuses on Field Programmable Gate Arrays (FPGAs), real-time distributed systems, and data acquisition technologies. He co-authored a chapter in the book *Modern Techniques for Computer-Aided Melanoma Diagnosis* (ISBN:978-953-307-571-6), contributing to medical imaging and diagnostic systems. He is involved in academic initiatives such as the Juna Network Academy (Juniper Networks Academic Alliance) and the Students Computer Laboratory, promoting networking education and software development. His work intersects computer engineering with healthcare applications.

• Logic
• Computability Theory
• Lambda Calculus
• +3 more

Marek Zaionc is a Professor at the Faculty of Mathematics and Computer Science, Jagiellonian University in Kraków, Poland. He specializes in theoretical computer science, logic, and computability theory. His research focuses on asymptotic properties of logical systems, lambda calculus, and the quantitative analysis of fuzzy logics. He has held visiting positions at institutions including the University of Alabama (USA), University of Buffalo (USA), and Université de Versailles (France). Education and Career: PhD in Mathematics, University of Warsaw (1985) Habilitation, Jagiellonian University (1993) Professor of Mathematical Sciences, Jagiellonian University (2003) Deputy Dean of Faculty of Mathematics and Computer Science (2002–2003) Research Interests: Asymptotic probability in logic and computability Typed lambda calculus and functional programming Quantitative studies of fuzzy logics and non-classical logics Combinatorial analysis of logical terms and structures Grants and Projects: NCN Grant (2019–2023): Investigating asymptotic equivalence in set theories NCBR Grant (2014–2017): Asymptotic methods in lambda calculus and combinatory logic Narodowe Centrum Badań (2010–2013): Quantitative studies in logic and computation Awards and Recognition: While no specific awards are listed, his extensive publications and leadership roles reflect significant contributions to theoretical computer science and logic. Labs and Teams: Active contributor to the Algorithmics Research Group and Foundations of Computer Science initiatives at Jagiellonian University.

Sławomir BieleckiView profile

Professor

• Energy efficiency in power networks
• Rational use of energy
• Reactive power in Electric Power Systems
• +7 more

Sławomir Bielecki is a Professor at the Department of Rational Use of Energy within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. His extensive academic career focuses on critical aspects of modern power systems, energy efficiency, and smart grid technologies. As an active researcher and educator, he contributes significantly to both theoretical advancements and practical applications in electrical power engineering. Professor Bielecki's research centers on energy efficiency in power networks , rational use of energy , reactive power management , smart grids , and the integration of renewable energy sources . His work bridges traditional power engineering with modern computational intelligence methods, addressing contemporary challenges in power quality, prosumer systems, and intelligent building technologies. His research has evolved to address emerging issues like the impact of electric vehicles on grid stability and the effects of global events like the COVID-19 pandemic on residential electricity consumption patterns. The analysis of his recent publications reveals a strong focus on practical applications of power system theory, with increasing attention to renewable energy integration, climate policy impacts, and the transformation of traditional power systems. His work spans both technical aspects of power engineering and broader policy considerations, demonstrating a comprehensive approach to energy system challenges. The Rector of Warsaw University of Technology Award for scientific achievements in 2019 (II grade) The Rector of Warsaw University of Technology Award for didactic achievements in 2019 (II grade) Three-time recipient of EU scholarship programs for young academics Multiple Rector's Awards for scientific and didactic achievements (2008-2015) Winner of national thesis competitions organized by the Association of Polish Electrical Engineers As an educator, Professor Bielecki teaches Electric Power Systems courses and mentors students on diploma theses related to energy efficiency, power systems, and reactive power management. His organizational contributions include serving as Secretary of the Scientific Council for Environmental Engineering, Mining and Energy, representing Warsaw University of Technology in the Polish Committee for Standardization, and leading the Scientific Group no. 240 of the Association of Polish Electrical Engineers. His work demonstrates a strong commitment to advancing both the theoretical foundations and practical applications of modern power engineering.

• Fuel Cells
• Energy Systems
• CO2 Capture Technologies
• +3 more

Dr. Jarosław Milewski is a researcher at the Institute of Heat Engineering , Faculty of Mechanical Energy and Aviation, Warsaw University of Technology. His work focuses on advanced energy technologies with particular emphasis on fuel cells, CO2 capture, and hybrid power systems. Research Interests: Fuel cell system modeling (MCFC/SOFC) Hybrid energy conversion technologies CO2 capture and utilization Thermal energy storage optimization Computational fluid dynamics applications Decentralized energy systems Scientific Recognition: Laureate of "Naukowcy dla gospodarki Mazowsza" (2012) Minister's scholarship for young scientists (2011) Multiple Rector's Awards (2004-2009)

• Energy Engineering
• Fuel Cell Technology
• Thermal Systems Modeling
• +3 more

Marcin Wołowicz, PhD in Engineering , is a researcher at the Department of Rational Use of Energy within the Institute of Heat Engineering at Warsaw University of Technology. His academic career focuses on advanced energy system modeling and optimization, with particular emphasis on fuel cell technologies and thermal energy storage solutions. Key research areas: Fuel Cell Modeling & Design Expertise: Thermal System Optimization Specialization: Energy Storage & CO2 Reduction Wołowicz's publication record demonstrates sustained contribution to: Molten Carbonate Fuel Cell applications (11+ papers) Combined Heat and Power systems Thermal integration in power plants Seasonal energy storage solutions Waste heat utilization Supercritical power plant optimization His technical work involves both theoretical modeling (GateCycle, Hysys) and experimental validation across various energy scales from 100cm² laboratory cells to 800MW power stations.

• Theoretical Computer Science
• Graph Algorithms
• Massive Graph Processing
• +4 more

Zihan Tan is an Assistant Professor at the Department of Computer Science and Engineering, University of Minnesota. Previously, he held a postdoctoral position at DIMACS and earned his PhD from the University of Chicago under the supervision of Prof. Julia Chuzhoy. Education: PhD in Computer Science, University of Chicago Previous Affiliation: Postdoc at DIMACS His research focuses on theoretical computer science and graph algorithms , particularly on developing modern algorithms for processing massive graphs. Key research aspects include: Exploring the limits of graph compression Studying graph problems in sublinear, dynamic, and distributed computational models Designing approximation algorithms through structural graph theory and algorithm interplay Zihan is actively seeking to hire 1-2 PhD students beginning Fall 2025.

Marek CzachorView profile

Professor

• Quantum Mechanics
• Relativity
• Computational Linguistics
• +3 more

Professor Marek Czachor is affiliated with the Institute of Physics and Applied Informatics at Gdańsk University of Technology . His research spans quantum mechanics, relativity, and mathematical physics. He explores connections between quantum foundations, computational linguistics, and electromagnetic phenomena. Recent publications reveal interdisciplinary work: (1) 2025 studies relativistic effects on exponential decay patterns linked to Zipf-Mandelbrot laws; (2) 2025 quantum cosmology formalism with timelike hyperlayers; (3) 2024 hidden tensor structures in Hilbert spaces; (4) 2024 local hidden-variable models challenging Bell's theorem; (5) 2023 fractional calculus in electromagnetics. His work demonstrates mathematical unification across diverse domains. Email: mczachor@pg.edu.pl .

• LIDAR technology
• Point cloud analysis
• Big data algorithms
• +9 more

Adrian Widłak is a Teaching Assistant at the Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology. His research focuses on information and communication technology (ICT) with specialization in point cloud analysis, visibility mapping, and network security. Specializes in LIDAR technology and Digital Surface Model (DSM) processing for viewshed generation Conducts research in big data algorithms, cryptography, and artificial intelligence Active in edge computing optimization and intelligent transportation systems His work spans multiple interdisciplinary domains including environmental monitoring, biomedical applications, and blockchain security. Recent publications demonstrate a focus on: 3D spatial analysis techniques using point cloud data Machine learning applications in ecological modeling Cybersecurity challenges in modern network architectures Optimization of edge computing infrastructures Blockchain consensus mechanisms and security frameworks

Michela TauferView profile

Associate Professor

• Heterogeneous Computing
• Cloud Computing
• Volunteer Computing
• +4 more

Michela Taufer is the David L and Beverly JC Mills Chair of Computer and Information Sciences and an Associate Professor at the University of Delaware. She earned her Masters degrees in Computer Engineering from the University of Padova (Italy) and her doctoral degree in Computer Science from the Swiss Federal Institute of Technology (Switzerland). Her research interests include scientific applications and their advanced programmability in heterogeneous computing (i.e. multi-core and many-core platforms, GPUs); performance analysis; modeling and optimization of multi-scale applications on heterogeneous computing; cloud computing and volunteer computing; numerical reproducibility and stability of large-scale simulations on multi-core platforms; and big data analytics and MapReduce. Dr. Taufer has published research on protein folding, molecular dynamics, and workflow execution on cloud and grid platforms. Her work often focuses on performance characterization and optimization of scientific applications on distributed and parallel systems. From 2003 to 2004 she was a La Jolla Interfaces in Science Training Program (LJIS) Postdoctoral Fellow at the University of California San Diego (UCSD) and The Scripps Research Institute (TSRI) From 2005 to 2007, she was an Assistant Professor at the Computer Science Department of the University of Texas at El Paso (UTEP) She joined the University of Delaware in 2007 as an Assistant Professor and was promoted to Associate Professor with tenure in 2012

Agnieszka JędrzejewskaView profile

Researcher

• Structural Engineering
• Concrete Technology
• Sustainability in Civil Engineering
• +3 more

Agnieszka Jędrzejewska is a researcher at the Department of Structural Engineering , Faculty of Civil Engineering , Silesian University of Technology , Poland. She specializes in the analysis of cracking in concrete structures due to thermal, shrinkage, and imposed strains, with a focus on sustainability and robustness of cement-based materials. Research Interests : Thermal cracking, early-age concrete behavior, sustainable materials (e.g., self-healing concrete, 3D-printed mortar), numerical modeling, crack prevention techniques. Awards : Recipient of the Scientific Award of the 4th Division of the Polish Academy of Sciences (2024) for her series of works on 'Cracking of Special Structures Under the Action of Imposed Deformations.' Her recent publications highlight interdisciplinary approaches to improving concrete sustainability (e.g., alccofine 1203, GGBS, kaolin) and advancing computational models for crack prediction. She contributes to standardization efforts (e.g., prEN 1992-1-1) and collaborates on international projects (e.g., RILEM TC 287-CCS, COST TU1404).

• Computer Science
• Artificial Intelligence
• Data Mining
• +3 more

Krzysztof Heller serves as a research assistant 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 office is located at D-17, ul. Kawiory 21. His research spans foundational and applied computer science disciplines, with emphasis on: Artificial intelligence systems development Large-scale data mining methodologies Machine learning algorithm optimization Robust software engineering practices Secure computer network architectures Distributed computing frameworks Dr. Heller maintains active academic engagement through his institutional role and correspondence via kjheller@agh.edu.pl .

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

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