Random Processes Professors and Supervisors in Poland

Maciej Hukمشاهده پروفایل

استادیار

Wrocław University of Science and TechnologyPoland

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.

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Jacek Bojarskiمشاهده پروفایل

استاد

University of Zielona GóraPoland

Jacek Bojarski is a Professor at the University of Zielona Góra's Institute of Mathematics, with office location in Room 503 A-29. His academic work bridges theoretical mathematics with practical applications across multiple scientific domains. Research Profile Professor Bojarski's research spans several interconnected mathematical disciplines: Theory of operators on locally convex and Banach spaces, including integral representations and spectral theory Nonlinear analysis focusing on iterative methods, fixed point problems, and Volterra-type integral equations Game theory applications to stochastic, multigenerational, and large-scale decision systems Graph theory with emphasis on coloring problems and combinatorial structures Nonlinear wave propagation including Korteweg-de Vries equation extensions Iterative Gaussian and Archimedes-Borchardt algorithms for mean determination His work demonstrates strong connections between abstract mathematical theory and real-world applications in sustainable energy, industrial processes, and scientific modeling. Teaching and Applications Professor Bojarski teaches statistical analyses, econometrics, modeling of random phenomena, and programming with R and Python. His research is conducted through the Center for Applications of Mathematics and Computer Science (OZMI), which promotes interdisciplinary collaboration on practical problems using advanced mathematical methods. This center develops optimization techniques for sustainable energy, healthy society initiatives, and industrial processes through specialized software modeling.

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Marek Oleszمشاهده پروفایل

استاد

Gdańsk University of TechnologyPoland

Dr. Marek Olesz is a Professor at the Department of Electrical Power Engineering, Faculty of Electrical and Automation Engineering, Gdańsk University of Technology. His research encompasses high-voltage engineering, insulation diagnostics, partial discharges, and electromagnetic compatibility. He holds leadership roles in organizations including the Polish Society of Theoretical and Applied Electrical Engineering (Chairman) and the Polish Committee for Lightning Protection (Vice-Chairman). Research interests include: Quality of electricity and electromagnetic compatibility in power systems Degradation mechanisms in polyethylene insulation Partial discharge measurement techniques for cable and transformer diagnostics Innovations in surge arrester testing and high-voltage line design His recent publications (2023-2025) focus on AI-driven transformer lifetime prediction, CNN-based corrosion classification in cables, and safety enhancements for photovoltaic systems. Notable projects include: Pylon 2 : Developing innovative structures for high-voltage lines with integrated communication systems. Stratus : Creating high-power electromagnetic pulse systems for UAV countermeasures. Dr. Olesz is an active member of the High Voltage Team , which researches short-circuit dynamics, insulation degradation, and power quality. He has supervised 200+ teaching activities but no specific advisees are listed.

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Piotr Jan Garbaczewskiمشاهده پروفایل

استاد

Opole UniversityPoland

Piotr Jan Garbaczewski is a Professor of Physics at the University of Opole, Poland, where he serves as the Head of the Institute of Physics. Previously, he held professorial positions at the University of Zielona Góra (1998-2006) and the University of Wrocław (1971-1998). His research spans multiple areas of theoretical and mathematical physics, with particular focus on: Stochastic processes and random dynamics Quantum mechanics and fractional quantum mechanics Non-equilibrium statistical mechanics Lévy flights and stable processes in bounded domains Diffusion processes with non-conservative drifts Mathematical aspects of quantum potentials Garbaczewski's recent publication record shows consistent output in prestigious journals, with notable work on killing versus branching processes, non-conservative diffusion, and Lévy processes in bounded domains. His research demonstrates a strong connection between stochastic processes and quantum mechanical systems, particularly through the lens of non-Hermitian quantum mechanics and fractional calculus. His scientific achievements include: h-index (WoS Citations): 7 Total Impact Factor: 31.499 Total SNIP: 15.42 Total CiteScore: 28.41 Total ministerial score: 1,210 Throughout his career, Garbaczewski has maintained active collaborations with researchers across Poland and internationally, contributing significantly to the field of mathematical physics through both theoretical developments and practical applications of stochastic processes in physical systems.

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Mieczysław Jessaمشاهده پروفایل

استاد

Poznan University of TechnologyPoland

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.

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Karol Chlastaمشاهده پروفایل

استادیار

Leon Kozminski AcademyPoland

Dr. Karol Chlasta serves as an Assistant Professor in the Faculty of Management in Networked and Digital Societies at Kozminski University in Warsaw. He earned his doctoral degree in engineering and technical sciences from the Polish-Japanese Academy of Information Technology in 2023, defending his dissertation "Neural Simulation Pipeline for Liquid State Machines" with distinction (summa cum laude). His academic journey includes a Master's degree in Economic Computer Science from the University of Economics in Krakow (2008) and postgraduate studies in Business Analytics at Warsaw University of Technology (2015). Dr. Chlasta's research spans artificial intelligence, particularly neural networks and machine learning, human-computer interaction, and information management. His recent publications demonstrate expertise in AI applications for mental health screening through eye-tracking and speech analysis, sentiment analysis of social media data for migration studies, and innovative virtual reality interaction techniques. He has published consistently from 2020-2024 across multiple high-impact venues, with his work appearing in journals like Frontiers in Psychology, European Psychiatry, and Telematics and Informatics Reports, as well as conferences including ACM DIS and IEEE VR. His scientific contributions form several interconnected research threads: AI-based diagnostic systems for depression, anxiety, and dementia through biometric analysis Computational neuroscience tools including the Neural Simulation Pipeline deployable in cloud environments Sentiment analysis of social media data to understand migrant experiences during the pandemic Novel interaction techniques like VXSlate for virtual reality environments Dr. Chlasta has received notable recognition including the Scholarship of the Minister of National Education and Sport (2006) and the "Outstanding Leader" award from Aviva's global CIO (2017). His interdisciplinary approach bridges technical AI expertise with practical applications in healthcare, migration studies, and human-computer interaction. With over fifteen years of industry experience at major organizations including HP, IBM, and Aviva, Dr. Chlasta brings substantial real-world perspective to his academic work. Since 2022, he has served as Head of Technicus Poland, where he established and manages the Polish branch while developing the company's global IT and cybersecurity functions. He is also a certified specialist across multiple enterprise technologies and a member of several professional organizations including ACM and IEEE. His research approach integrates academic rigor with practical problem-solving, focusing on developing tools that address real-world challenges in mental health screening, migration support, and virtual interaction environments.

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Barbara Stawarz-Graczykمشاهده پروفایل

استادیار

Gdańsk University of TechnologyPoland

Barbara Stawarz-Graczyk is an Assistant Professor at the Department of Metrology and Optoelectronics within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. Her research spans semiconductor device characterization, optical metrology, and biomedical applications. Her primary research interests focus on semiconductor noise analysis , particularly Random Telegraph Signal (RTS) noise in optoelectronic devices and silicon carbide components. She has developed specialized measurement systems for analyzing low-frequency noise in optocouplers (transoptors), Schottky diodes, and MESFET transistors. More recently, her work has expanded into diffraction phase microscopy applications for observing red blood cell fluctuations, demonstrating interdisciplinary movement into biomedical diagnostics. Analysis of her 29 publications from 2004-2018 reveals a strong technical trajectory from fundamental semiconductor noise characterization toward biomedical applications. Her early work (2004-2010) concentrated on RTS noise identification methods, optocoupler characterization, and measurement system development. From 2015 onward, she transitioned to applying similar measurement principles to biological systems, particularly using diffraction phase microscopy for hematology diagnostics. She has been involved in developing specialized measurement systems including: RTS noise identification systems for optocouplers Wide current range measurement systems for power diodes Specialized probes for optoelectronic noise measurement Phase object observation systems using diffraction microscopy Her research demonstrates consistent focus on precise measurement techniques with applications spanning semiconductor technology, metrology, and biomedical diagnostics, showing evolution from pure electronics toward interdisciplinary biomedical engineering applications.

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Edward Kozłowskiمشاهده پروفایل

استاد

Technical University of LublinPoland

Dr. Edward Kozłowski is a Professor at the Department of Quantitative Methods in Management within the Faculty of Management at Lublin University of Technology. He holds consultations every Wednesday from 10:00 to 12:00 in room 20 of the New Oxford Connecting Building and can be reached via email at e.kozlovski@pollub.pl or through his personal website. Dr. Kozłowski earned his academic credentials through a rigorous path: completing his Master's degree in 1996 from the Faculty of Mathematics and Physics at Maria Curie-Skłodowska University, his PhD in 2002 at the Systems Research Institute of the Polish Academy of Sciences in Warsaw with a thesis on 'Optimization of investment portfolio taking into account the cost of information,' and achieving habilitation in 2019 from the same institution. His research focuses on optimal adaptive control for stochastic systems with random horizon and modeling decision support and control systems under uncertainty. This work spans stochastic optimization, machine learning applications, statistical modeling, and decision theory under uncertain conditions. Dr. Kozłowski's approach consistently bridges theoretical mathematical frameworks with practical applications in management contexts. Analysis of his recent publications (2017-2020) reveals a strong trend toward interdisciplinary applications of quantitative methods. His work spans pandemic response modeling, manufacturing optimization, water resource management, transportation systems analysis, and building diagnostics. The integration of machine learning techniques with traditional statistical approaches has become increasingly prominent in his recent research. Dr. Kozłowski teaches courses in forecasting and simulations, descriptive statistics, and mathematical statistics, emphasizing practical applications of quantitative methods in management. His teaching philosophy aligns with the Department of Quantitative Methods in Management's postgraduate studies in Data Analysis, which focuses on teaching statistical methods as practical tools rather than theoretical constructs. His collaborative research network includes frequent partnerships with Tomasz Rymarczyk, Grzegorz Kłosowski, Anna Borucka, and Dariusz Mazurkiewicz across diverse application domains. This collaborative approach has resulted in numerous publications in reputable journals and conference proceedings.

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Tomasz Warownyمشاهده پروفایل

مدرس

Technical University of LublinPoland

Dr. Tomasz Warowny is a faculty member at the Department of Quantitative Methods in Management within the Faculty of Management at Lublin University of Technology. He has been affiliated with the university since 1993, previously working in the Department of Operations Research and Department of Enterprise Organization before his current position. His academic journey began with mathematics studies at Maria Curie-Skłodowska University, followed by a PhD in Economics from Cracow University of Economics. Dr. Warowny's educational background reflects his interdisciplinary expertise: he completed mathematics studies in 1993 with a master's thesis on 'Gaussian measures in Banach spaces,' then earned his economics doctorate in 2002 with research on 'Modeling Dividend Policy.' This unique combination of mathematical rigor and economic application defines his scholarly approach. His research primarily focuses on probabilistic decision models, game theory, and investment portfolios. Analyzing his publication history reveals a consistent thread of applying mathematical frameworks to economic and management problems. His recent work demonstrates particular interest in strategic decision-making processes under uncertainty, with applications ranging from financial markets to game-theoretic scenarios. The publications span mathematical theory, economic applications, and practical decision frameworks, showing his ability to bridge abstract concepts with real-world applications. Dr. Warowny's scholarly output includes significant contributions to edited volumes like 'Probability in Action' series published by Lublin University of Technology, as well as journal articles in quantitative economics. His work often appears in collaboration with colleagues such as Rzymowski and Surowiec, indicating active research partnerships within the quantitative methods community. In terms of teaching and supervision, Dr. Warowny maintains regular consultation hours for students on Wednesdays from 2:30-4:00 PM. His mathematical background combined with economics expertise suggests he likely teaches quantitative methods courses that require analytical rigor and practical application to management problems. The Department of Quantitative Methods in Management, where Dr. Warowny works, appears to be an active research unit focused on mathematical and statistical approaches to management problems, as evidenced by their 'Probability in Action' publication series and various research projects documented on their website.

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Karol Życzkowskiمشاهده پروفایل

استاد

Jagiellonian UniversityPoland

Karol Życzkowski is a Professor of Physics at the Atomic Physics Department, Institute of Theoretical Physics, Jagiellonian University in Cracow, Poland. He also holds a position at the Center for Theoretical Physics of the Polish Academy of Sciences in Warsaw. Since January 2023, he has served as President of the Cracow Branch of the Polish Academy of Sciences (PAN). Previously, from 2019 to 2023, he was Director of the Quantum Information Center in Gdańsk (KCIK). In 2024, he was awarded an ERC Advanced Grant for his project 'Typical and Atypical Structures in Quantum Theory'. Życzkowski earned his Ph.D. in theoretical physics from Jagiellonian University in 1987 under the supervision of Prof. Jan Mostowski. He completed his habilitation in physical sciences at the same institution in 1994. His academic journey includes prestigious fellowships: Humboldt Fellowship at Essen University (1989-90) and Senior Fulbright Fellowship at the University of Maryland (1997-98). He became a full Professor of Physics in Poland in 2005 and has held positions at both Jagiellonian University and the Polish Academy of Sciences. His research spans multiple areas of theoretical physics and mathematics, with a primary focus on quantum information theory. He has made significant contributions to understanding quantum entanglement, quantum chaos, random matrices, and the geometry of quantum states. His influential book 'Geometry of Quantum States: An Introduction to Quantum Entanglement,' co-authored with Ingemar Bengtsson, has become a standard reference in the field. Beyond quantum physics, he has conducted important work in voting theory, developing the 'Jagiellonian Compromise' for the Council of the European Union based on the Penrose Square Root Law. Analysis of his publication record reveals a consistent focus on the mathematical foundations of quantum information, with increasing interdisciplinary work connecting quantum physics to other fields like game theory and financial mathematics. His research has evolved from foundational quantum mechanics to practical applications in quantum computing and information processing, while maintaining strong mathematical rigor. ERC Advanced Grant (2024) for 'Typical and Atypical Structures in Quantum Theory' NCN Grant Maestro-7 (2016) Award of Rector of Jagiellonian University for monograph 'Geometry of Quantum States' (2007) Award of Rector of Jagiellonian University for series of papers on mathematical foundations of quantum information theory (2013) Prime Minister Award for outstanding habilitation thesis (1995) Senior Fulbright Fellowship (1997) Humboldt Fellowship (1989) Życzkowski has supervised 16 Master's theses and 5 Ph.D. theses, with 3 additional Ph.D. projects in progress. He has coordinated 9 research grants and participated in 10 others, including leading the Polish node of a German SFB-Transregio project. His editorial service includes positions on the boards of Open Systems & Information Dynamics (since 2003), Journal of Physica A (2004-2006, 2007-2010), Quantum (2016-2021), and Acta Physica Polonica B (since 2021). He has served on panels evaluating ERC Advanced Grants three times. At Jagiellonian University, Życzkowski leads the Jagiellonian Quantum Information Team (JQIT) and organizes the weekly 'Quantum Information & Chaos' seminar. He has been instrumental in establishing quantum information research in Poland, co-organizing the European Research Network Krzyżowa Initiative for Quantum Information and the Polish Research Network LFPPI (Laboratory of Physical Foundation of Information Processing).

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