Find Academic Supervisors

• Ancient History
• Ancient Near Eastern Studies
• Intercultural Contacts
• +4 more

Prof. Dr. Robert Rollinger is a leading scholar in Ancient History and Ancient Near Eastern Studies, currently holding a NAWA Chair at the University of Wrocław and directing the international project “From the Achaemenid to the Roman Rule: Empires in Contexts – the Processes of Long Lasting.” He has been a Full Professor at the University of Innsbruck since 2005 and served as Head of its Department of Ancient History and Ancient Near Eastern Studies from 2004–2012 and 2015–2021. Rollinger's research focuses on intercultural contacts between the Aegean World and the Ancient Near East, the history of empires, Achaemenid historiography, and the intellectual heritage of Assyria and Babylonia. His work bridges Assyriology , Ancient Near Eastern History , and Classical Studies , emphasizing transcultural interactions and global historical frameworks . His scientific awards include the Dr. Seibert Prize (1995), the Liechtenstein Research Prize (1998), the Austrian Olympic Committee Science Prize (1999), and the Vorarlberg Science Prize (2010). Rollinger is a member of prestigious institutions like the Österreichische Akademie der Wissenschaften and Academia Europaea , and has served as editor or co-editor for international series such as Oriens et Occidens and Melammu Symposia .

• Fuzzy Systems
• Control Theory
• Neural Networks
• +5 more

Leszek Rutkowski is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His primary research focuses on fuzzy systems, control theory, and optimization with significant applications in algorithmic trading and pattern formation dynamics. His research program centers on developing advanced fuzzy control frameworks for complex systems, particularly addressing security challenges in networked environments and optimizing financial trading strategies under uncertainty. Key contributions include novel approaches to Turing pattern control in reaction-diffusion systems, reinforcement learning for multi-agent consensus, and volatility-dependent Forex trading models using multi-criteria optimization. His work consistently bridges theoretical control mechanisms with practical implementations in stochastic and constrained environments. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) Security-oriented fuzzy control for cyber-physical systems under DoS attacks, (2) Bifurcation analysis and pattern dynamics in fractional-order neural networks, and (3) Interpretable algorithmic trading systems leveraging belief-plausibility uncertainty models. His publications demonstrate increasing integration of reinforcement learning with traditional control theory, particularly in multi-agent coordination problems. Scientific awards: No awards were documented in the provided information sources. Advising and grants: No doctoral students or research grants were explicitly listed in the available materials. Laboratories and teams: Research appears to be conducted within the Institute of Computer Science framework, though specific laboratory names or team structures were not mentioned in the sources.

• Quantum Computing
• Hybrid Quantum-Classical Algorithms
• Workflow Scheduling
• +3 more

Katarzyna Rycerz is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. She holds the academic rank of Lecturer as part of the assistant professors group, with her office located at D-17, ul. Kawiory 21, room II, 3.54. Her research spans quantum computing, hybrid quantum-classical algorithms, and distributed systems, with significant contributions to workflow scheduling and complex network optimization. Dr. Rycerz's primary research focuses on quantum optimization techniques, particularly quantum annealing and variational algorithms applied to combinatorial problems. Her work bridges theoretical quantum computing with practical high-performance computing challenges, including load rebalancing in HPC systems and community detection in complex networks. She has developed software tools like QHyper for hybrid quantum-classical optimization and explored quantum solutions for thermoelectric properties in graphene and quantum game theory paradoxes. Her 15 most recent publications (2019-2025) reveal a dominant trend toward quantum-classical hybrid methods, with 80% focused on quantum annealing applications for workflow scheduling, network analysis, and optimization problems. Key themes include D-Wave system implementations, quantum game theory extensions, and thermoelectric material simulations, demonstrating a consistent shift from earlier multiscale simulation work toward cutting-edge quantum computing applications. No scientific awards are documented in the available information. Details regarding student advising, research grants, laboratory affiliations, or collaborative teams are not provided in the source materials.

Waldemar JendernalikView profile

Associate Professor

• Low-power analog circuit design
• CMOS filter design
• Analog-to-digital converters
• +4 more

Dr. Waldemar Jendernalik is an Associate Professor at the Department of Microelectronic Systems, Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research focuses on low-power electronic circuits and signal processing systems with particular emphasis on specialized applications in auditory and visual domains. His primary research interests include: Ultra-low-power analog and mixed-signal circuit design CMOS filter design for auditory applications Analog-to-digital converters with embedded signal processing Electronic cochlea implementation Image sensor signal processing architectures Dr. Jendernalik's research demonstrates exceptional expertise in creating circuits that operate at extremely low voltages (down to 0.5V) and power levels (nanowatt range). His work on tunable biquadratic filters for electronic cochlea applications represents significant advancements in energy-efficient circuit design for biomedical applications. In the imaging domain, his innovations in rank-order filtering integrated directly within ADC architectures enable more efficient image processing at the pixel level. His recent publications in Electronics and IEEE Transactions on Circuits and Systems showcase his contributions to specialized circuit design with practical applications in hearing assistance technology and advanced imaging systems where power efficiency is critical. Dr. Jendernalik actively collaborates with researchers including J. Jakusz, M. Kłosowski, Y. Sun, and G. Blakiewicz, reflecting the interdisciplinary nature of his work that bridges electrical engineering, signal processing, and biomedical applications.

• GPU Programming
• Multi-Core Processors
• Statistical Mechanics
• +5 more

Prof. Piotr Białas is a Professor of Physical Sciences and Director of the Institute of Applied Informatics at Jagiellonian University. He holds a habilitation in physics from the same institution and has served as department head and faculty member since 1993. His research focuses on GPU programming, multi-core processor optimization, and theoretical physics areas like simplicial gravity and quantum chromodynamics on networks. He has supervised over three doctoral and dozens of master's theses. Current projects include GPU acceleration for medical imaging (J-PET tomograph) and real-time FPGA-based data processing. Education: PhD in Physics (1993), MSc in Physics (1990) from Jagiellonian University. Academic roles include membership in the Academic Council of Technical Informatics and Complex Systems Commission at Polish Academy of Arts and Sciences. Invited professorships at universities in Amsterdam, Bielefeld, Barcelona, and Saclay. Specializes in CUDA optimization, parallel computing, and medical imaging algorithms.

Grzegorz KrynickiView profile

Researcher

• Articulatory Phonetics
• Computer Assisted Pronunciation Teaching
• Laboratory/Experimental Phonology
• +7 more

Grzegorz Krynicki is a Senior Researcher at the Faculty of English , Adam Mickiewicz University, Poznań, Poland. He leads the Speech and Language Processing Laboratory , focusing on experimental phonetics, machine translation, and computer-assisted language learning. With a Ph.D. in English (2006) and MA in English (2000) from Adam Mickiewicz University, he has contributed extensively to articulatory phonetics and Polish-English corpus linguistics. Education MA in English, Poznań (2000) Ph.D. in English, Poznań (2006) His research interests bridge Articulatory Phonetics and Machine Learning , with applications in Computer Assisted Pronunciation Teaching , Automatic Speech Recognition , and Corpus Linguistics . He has developed tools like Wordbuilder for corpus-based exercises and IPA2Polglish for phonetic transcription conversion. The articles reflect his expertise in electropalatography (EPG) for L2 pronunciation teaching, phonetic error detection in Polish learners of English, and machine translation systems like POLENG. His work spans Multilingualism , Speech Technology , and Polish-English Contrastive Analysis . Scientific Awards University of Bielefeld scholarship (1999) Professional Activities include participation in the International Society of Phonetic Sciences and development of the Speech and Language Processing Laboratory . He has presented at conferences such as the International Congress of Phonetic Sciences (2019) and Societas Linguistica Europaea meetings, often collaborating with institutions like the University of Colorado and Linköping University.

Łukasz ChabudzińskiView profile

Assistant Professor

• Hydrology
• Geographic Information Systems (GIS)
• Climatology
• +4 more

Dr. Łukasz Chabudziński serves as Assistant Professor at the Department of Hydrology and Climatology within the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University in Lublin. Employed since October 1, 2008, he earned his Doctor of Earth Sciences in Geography on March 30, 2016, following progressive roles from Assistant in the GIS Laboratory (2008-2016) to Assistant Professor positions. His educational background includes postgraduate studies in 'Management of research projects and development works' (2011-2012) and 'Research Project Manager' (2012-2013) at the University of Economics and Innovation in Lublin. Dr. Chabudziński's research focuses on hydrology, GIS applications, and climatology, with particular emphasis on groundwater resource analysis in southeastern Poland's Roztocze region and Lublin Upland. Analysis of his publication record reveals a strong interdisciplinary approach combining hydrology, geomorphology, and computational methods. His recent work increasingly integrates high-performance computing with traditional hydrological analysis, particularly examining spring dynamics, small water bodies, and geological influences on water resources in loess landscapes. Rector's Award (team, third degree) for organizing GIS Challenge (2017) Rector's Award (individual, third degree) for outstanding work for the University (2020) Dr. Chabudziński has supervised 22 diploma theses (21 bachelor's and 1 master's) with notable student successes in competitions like 'GIS Team' and 'GIS Challenge.' He serves as principal investigator for NCN grants and contributes to numerous research projects examining landscape evolution, hydrological processes, and archaeological site relationships in loess regions. He actively shapes geospatial education through leadership roles in academic conferences, competition organization, and curriculum development for geoinformatics programs, bridging theoretical research with practical applications in water resource management and environmental protection.

• Machine Learning
• Electrical Engineering
• Computer Science
• +7 more

Anna Plichta is an Assistant Professor at the Department of Computer Science, Faculty of Computer Science and Telecommunications at Jagiellonian University. Her primary discipline is Information and Communication Technology (ICT), with a strong focus on interdisciplinary applications spanning electrical engineering, bioinformatics, and educational technology. Her research interests include machine learning techniques (neural networks, decision trees, genetic algorithms), motor diagnostics in electromechanical systems, bacterial classification using computational methods, and pedagogical strategies for student engagement. She has published widely on topics such as fault detection in induction motors, bacterial taxonomy through classifier systems, and the integration of CUDA technology for optimization problems. Anna’s work bridges theoretical computer science with practical applications, including robotics navigation algorithms, FPGA-based signal processing tools, and e-learning systems. She is actively involved in curriculum development, particularly in evaluating strategies like industry study visits for student professionalization. Her academic contributions span 18 documented publications, with a Hirsch index of 3 across Scopus and Web of Science. She maintains an active profile on ORCID and Scopus, reflecting her commitment to interdisciplinary research and academic collaboration.

Jakub BaczyńskiView profile

Researcher

• Evolutionary Developmental Biology (Evo-Devo)
• Plant Systematics
• Phylogenetic Comparative Methods
• +3 more

Dr. Jakub Baczyński is a researcher with affiliations at the University of Warsaw and the University of Georgia. He completed a postdoctoral internship in Plant Biology at the University of Georgia (2023–2025) following an internship at Johannes Gutenberg University Mainz (2017). His work focuses on evolutionary developmental biology, plant systematics, and phylogenetic comparative methods with emphasis on Apiaceae and campanulids. Current research explores floral pseudanthia evolution, inflorescence architecture, and adaptive trait diversification. Affiliations: University of Warsaw (primary), University of Georgia (postdoc) Key research themes: Evo-Devo of flowers, plant phylogeny, morphological adaptation Research interests include understanding how developmental mechanisms shape floral diversity, particularly in Apiaceae subfamily Apioideae. His work applies integrative approaches combining morphological analysis with molecular phylogenetics to unravel evolutionary patterns in plant structures like pseudanthia and wood anatomy. Recent studies examine non-consumptive predator effects and wood functional traits in Heliophila. Publications highlight exceptional lability in inflorescence structures and parallel evolution in island species. His work contributes to understanding both micro- and macro-evolutionary processes shaping plant diversity. No formal teaching roles or awards are listed, though active participation in international collaborations is evident through co-authorships.

Piotr SankowskiView profile

Professor

• Algorithms
• Machine Learning
• Graph Theory
• +5 more

Piotr Sankowski is a Professor at the Institute of Informatics, University of Warsaw, specializing in algorithms and theoretical computer science with applications in economics and machine learning. He is also CEO of MIM Solutions, deploying ML solutions, and heads the IDEAS NCBR center for AI and Digital Economy. His research focuses on algorithm design, computational complexity, and interdisciplinary applications in physics and economics. Education & Affiliations: Professor at University of Warsaw's Faculty of Mathematics, Informatics, and Mechanics (MIM) Head of IDEAS NCBR Center (Artificial Intelligence & Digital Economy) CEO of MIM Solutions (AI/ML consulting) Research Interests: Piotr's work bridges theoretical computer science and practical applications, with key areas: Algorithms for matching problems, graph theory, and optimization Machine learning explainability and feature importance Quantum tunneling phenomena in semiconductor nanostructures (physics) Algorithmic game theory and network design His ERC grants highlight contributions to algorithmic foundations and interdisciplinary research. Grants & Awards: ERC Starting (2010), Proof of Concept (2015), and Consolidator (2017) Grants First Pole to secure three ERC grants Fellow of the Institute of Informatics at University of Warsaw Publications: Over 80 papers spanning CS (algorithms, ML) and physics (solid-state theory). Recent work focuses on online algorithms, dynamic graph problems, and scalable ML systems. Labs & Projects: Leads the IGAFIT initiative promoting algorithms in Europe, and the EXALT project for explainable optimization tools. Active in the IDEAS NCBR center for AI innovation.

Antonina Joszczuk-BrzozowskaView profile

Assistant Professor

• Glass Art
• Ceramics
• Sculpture
• +3 more

Antonina Joszczuk-Brzozowska is an Assistant Professor at the Wrocław Academy of Fine Arts , affiliated with the Faculty of Ceramics and Glass and the Glass Department . Her work bridges traditional glasscraft with contemporary conceptual art, focusing on material transformation, spatial dynamics, and interdisciplinary experimentation.

Michał PrzewoźniczekView profile

Professor

• Evolutionary Computation
• Multi-objective Optimization
• Many-objective Optimization
• +12 more

Michał Przewoźniczek is a Professor at Wrocław University of Science and Technology (PWr), actively contributing to the fields of evolutionary computation, optimization, and artificial intelligence. He is a key member of multiple research teams, including the Metaheuristics Team, Machine Learning Team, and Advanced Data Analysis Methods Team, reflecting his broad interdisciplinary impact. His research focuses on Evolutionary Computation , Multi- and Many-objective Optimization , Linkage Learning , Problem Decomposition , and Hybridization of metaheuristic methods, with applications in industrial process planning, network optimization, and real-world decision-making. He leads significant research projects such as greybox optimization (2023–2026) and multi-objective evolutionary methods with linkage learning (2021–2026), demonstrating sustained grant support and scientific leadership. The analysis of his recent publications reveals a consistent trend in advancing parameter-less evolutionary algorithms, empirical linkage learning, and scalable distributed implementations using containerization (e.g., Docker). His work bridges theoretical algorithm development with practical applications in optical networks, manufacturing, and distributed computing. His scientific honors include: Best Paper Nomination at the Genetic and Evolutionary Computation Conference (GECCO) Associate Editor, IEEE Transactions on Evolutionary Computation (since January 2023) Prof. Przewoźniczek supervises graduate students as a thesis advisor and collaborates extensively with researchers such as Piotr Dziurzanski, Marcin Komarnicki, Krzysztof Walkowiak, and Leandro Soares Indrusiak. He is actively involved in major conferences like GECCO, CEC, and CORES, and his work is indexed in Google Scholar, ResearchGate, and ORCID (0000-0003-2446-6473). He is affiliated with research groups focusing on Machine Learning, Computer Networks, Advanced Data Analysis, and Metaheuristics, indicating a strong collaborative and team-based research environment.

• Distributed Data Management
• Cloud Computing
• Digital Cultural Heritage
• +4 more

Renata Słota is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, where she serves as Vice-Dean of the Faculty of Development. Her office is located at D-17, ul. Kawiory 21, room II, 3.34, with contact details including phone +48 12 328 33 35 and email rena@agh.edu.pl. She also contributes to academic governance as a member of the Disciplinary Council for Technical Information Technology and Telecommunications. Her research centers on distributed data management and cloud computing , with pioneering work in digital cultural heritage systems , blockchain-based decentralized authority , and scientific workflow automation . Notable contributions include integrated frameworks for 3D Cultural Heritage objects management, consensus mechanisms for collaborative data sharing, and multi-cloud data access solutions. Her work bridges theoretical advances with practical applications in cultural preservation and scientific computing. Analysis of her 2020-2026 publications reveals dominant trends in decentralized data governance , cultural heritage digitization , and hybrid cloud workflow management . Key themes include blockchain applications for organizational structures, semantic interoperability for quality-oriented data access, and reproducibility frameworks for computational experiments. Her research consistently addresses real-world challenges in global data accessibility and fault tolerance. Professor Słota actively participates in major research initiatives including the Onedata project for global data federation and the Scalarm platform for distributed parameter studies, demonstrating leadership in data-intensive computing environments and collaborative infrastructure development.

• Biomedical Engineering
• Computer Vision
• Medical Imaging
• +3 more

Dr. Mirosław Socha is a Lecturer 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. His office is located in building B-1, room 206, where he conducts research and academic activities. Contact is available via phone (+48 12 617 28 28) or institutional email (socha@agh.edu.pl). His research encompasses several interconnected domains: Biomedical engineering with focus on medical imaging reconstruction and visualization techniques Computer vision applications for surgical navigation and diagnostics Deep learning methodologies for medical implant design and cranial defect solutions Metrology systems including flow calibration and friction measurement Signal processing for EEG and neural interface systems Analysis of his 15 most recent publications reveals strong emphasis on computational methods in healthcare, particularly deep learning-based medical reconstruction (2022-2023), measurement instrumentation (2019-2021), and medical visualization systems (2012-2015). His work consistently bridges theoretical concepts with clinical and industrial applications. No scientific awards, prizes, or fellowships are documented in available sources. Information regarding research grants, laboratory leadership, supervised students, or collaborative teams is unavailable in the provided materials.

• Software Engineering
• Modeling of Information Systems
• Scientific Computing
• +4 more

Dr. Andrzej Stefan Daniluk is a lecturer (Adiunkt) at Maria Curie-Skłodowska University in Lublin, Poland, affiliated with the Department of Cybersecurity and Computational Linguistics within the Faculty of Mathematics, Physics and Computer Science. His academic work spans both theoretical and practical aspects of computer science and physics, with particular emphasis on scientific computing applications. Dr. Daniluk's research interests focus on software engineering for scientific purposes, modeling of information systems, and wired/wireless data transmission protocols including RS 232C, MODBUS, USB, and Bluetooth. His scholarly work demonstrates a unique intersection between computer programming and materials science, particularly in the development of simulation software for RHEED (Reflection High-Energy Electron Diffraction) analysis. His publications reveal a consistent progression from practical programming guides to sophisticated computational physics models. Analysis of his publication record shows a clear evolution from early practical programming guides (USB, Bluetooth, C++Builder, Delphi) to increasingly specialized scientific computing work focused on RHEED simulations. His most recent publications (2020-2025) concentrate on developing sophisticated software frameworks (particularly rheed++) for modeling crystal growth processes using Python and C++, with applications in semiconductor research and nanotechnology. The interdisciplinary nature of his work bridges computer science, physics, and materials engineering. Dr. Daniluk has published 32 scholarly works with an h-index of 7 across multiple citation databases (Google Scholar, Scopus, Web of Science), accumulating a total ministerial score of 1,270. His publications include both academic papers and practical programming guides, with notable books such as 'USB. Praktyczne programowanie z Windows API w C++' (multiple editions) and 'Bluetooth. Praktyczne programowanie.' As an academic instructor, Dr. Daniluk offers consultations on Mondays from 11:30-13:30 in room D422 of the Institute of Computer Science building. His teaching appears to emphasize practical programming skills and their application to scientific computing problems, reflecting his dual expertise in software development and computational physics.