Arkadiusz Antczak is an Assistant Professor at the Institute of Organization of Production Systems , affiliated with the Faculty of Mechanical and Industrial Engineering at Warsaw University of Technology. His work focuses on optimization algorithms and production systems. Research spans scheduling optimization , job shop scheduling (FJSP) , and operations research . Expertise in genetic algorithms , greedy algorithms , and evolutionary computation . Contributions to flow production , transportation systems , and AGHAR algorithm development. 90 documented publications with a cumulative h-index of 3 (Scopus & WoS) and ministry score of 206 . Active in artificial intelligence and greedy randomized adaptive search procedures . No specific scientific awards or student advisement details are documented in the provided data.
Professor Jan Blachowski serves as Head of the Department of Geodesy and Geoinformatics at the Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology. He also holds a position as a Visiting researcher at the Department of Geoscience and Petroleum at the Norwegian University of Science and Technology (NTNU) under the NAWA Bekker programme. His professional standing is further evidenced by his membership in Academia Professorum Iuniorum for the 2024-2025 term and his role as Chief Specialist (mining and geology) at the Institute for Territorial Development (Marshal Office of the Dolnoslaskie Voivodeship). Professor Blachowski's research interests focus on the modeling and analysis of natural and anthropogenic systems using geographic information systems, with particular emphasis on deformation of mining and post-mining areas, mining surveying, satellite remote sensing, and spatial statistics. His work bridges geospatial technology with practical mining applications, creating valuable insights for environmental monitoring and land management in regions affected by mineral extraction. The interdisciplinary nature of his research connects geodesy, mining engineering, and environmental science to address complex challenges in post-mining landscape rehabilitation. An analysis of Professor Blachowski's recent publications reveals a strong trend toward integrating advanced geospatial technologies with mining impact assessment. His work increasingly incorporates machine learning techniques (particularly Random Forest algorithms), multi-sensor 3D mapping approaches, and sophisticated remote sensing methodologies to monitor and predict ground deformations in post-mining areas. The research demonstrates a clear progression from traditional geodetic monitoring toward more comprehensive, data-driven approaches that combine multiple data sources and analytical techniques for improved accuracy in deformation modeling and environmental impact assessment. Professor Blachowski leads the Geospatial Modeling and Analysis Laboratory and has served as Principal Investigator for numerous significant research projects, including Interreg Poland-Saxony Cooperation Programme, National Centre for Research and Development Polish German Cooperation Call, and multiple National Research Centre (NCN) OPUS projects. His research portfolio spans international collaborations with institutions in Germany, Norway, and other European countries, reflecting the global relevance of his work on mining impacts and geospatial analysis.
Dr. Przemysław Gordinowicz serves as an Assistant Professor at Lodz University of Technology within the Department of Applications of Contemporary Mathematical Analysis. Based in room 161 with contact details (+48) 42 631-36-33 and pgordin@p.lodz.pl, he maintains an active research profile in discrete mathematics. His research centers on Graph Theory and Combinatorics, specializing in graph coloring extendability problems for planar and outerplanar graphs, pursuit-evasion games (cops and robbers, localization games), and polynomial method applications. He also investigates random graph models, discrete Laplacian problems, and extremal graph theory, employing combinatorial and algebraic techniques to solve complex structural problems. Analysis of his 15 most recent publications (2015-2025) reveals consistent focus on three interconnected themes: (1) polynomial method applications to list coloring extendability, (2) theoretical advances in pursuit-evasion games across diverse graph classes, and (3) firefighter problem variants including surviving rate calculations. His work bridges theoretical combinatorics with algorithmic applications, frequently appearing in top-tier journals like Journal of Graph Theory and Electronic Journal of Combinatorics. He has supervised PhD student Paweł Twardowski, whose 2023 dissertation addressed graph polynomial applications to list coloring extendability in planar graphs. No information about research grants or collaborative teams is available in the provided materials.
Dr inż. Piotr Szwed is a Lecturer in the Department of Applied Computer Science at AGH University of Science and Technology, Kraków. He is affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering (EAIiIB), where he teaches courses ranging from imperative and object-oriented programming to data exploration and computational intelligence. Research Interests: Data mining and knowledge discovery Fuzzy cognitive maps and their applications in transportation, risk assessment, and security Software engineering methodologies, including agile and ontology-driven development Intelligent transportation systems (ITS) and real-time traffic management Natural language processing for Polish texts, stylometry, and authorship attribution Ontology engineering, enterprise architecture verification, and model checking His work often bridges theoretical computer science with practical applications in urban mobility, safety systems, and enterprise software. Scientific Contributions: Pioneered the integration of fuzzy cognitive maps with evolutionary algorithms to predict traffic flows. Developed rule-based and machine-learning approaches to determine speed limits from geospatial data. Contributed to the INSIGMA intelligent transportation system aimed at enhancing urban mobility in Polish cities. Created formal verification techniques for ArchiMate business processes using NuSMV model checking. Advanced stylometric analysis for Polish texts, introducing part-of-speech features for authorship attribution. Teaching & Academic Service: Regularly teaches Programming (C, C++, Java), Software Engineering, Data Exploration, and Computational Intelligence. Supervises engineering and master theses in applied computer science. Maintains a public wiki with course materials, lab exercises, and consultation schedules for students. Utilizes Git-based repositories to streamline code submission and continuous assessment in laboratory classes. Laboratory & Facilities: He is located in building C-2, room 403, at AGH’s main campus, al. Mickiewicza 30, 30-059 Kraków. The lab supports courses that emphasize practical software development, version control, and collaborative project work.
Professor Jurij Kozicki serves as faculty at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland, within the Department of Applied Mathematics in the Faculty of Mathematics, Physics and Computer Science. His research focuses on advanced mathematical modeling with particular expertise in: Markov evolution processes and related evolution equations Configuration space analysis Fokker-Planck equations and stochastic differential equations Stochastic semigroups and their applications Population dynamics modeling for infinite populations Self-regulating systems and random jump processes Professor Kozicki's scholarly output demonstrates consistent contributions to applied mathematics, with emphasis on theoretical frameworks applicable to complex systems across scientific domains. His work bridges abstract mathematical concepts with practical applications in modeling dynamic systems. With 32 documented publications, he maintains a strong research presence reflected in his bibliometric profile: WoS h-index of 6, Total Impact Factor of 9.97, Total SNIP of 28.06, Total CiteScore of 71.5, and a substantial ministerial score of 1,965 within Poland's academic evaluation system. Professor Kozicki actively participates in the scholarly community with an ORCID identifier (0000-0002-4320-8835) connecting his research across multiple academic platforms including Scopus, Europe PMC, and Crossref. His work is archived in the UMCS Knowledge Base under identifier UMCS226d3959bcaa477f91831b44662dc04f.
Dr. Andrzej Krajka is a Professor at the Department of Computer Science Basics within the Faculty of Mathematics, Physics and Computer Science at Maria Curie-Skłodowska University. His research spans probability theory, statistics, and interdisciplinary applications in genetics, epidemiology, and financial mathematics. Faculty: Mathematics, Physics and Computer Science Department: Computer Science Basics Email: andrzej.krajka@mail.umcs.pl Research interests include: Probability theory with focus on random sums and limit theorems Biomarker discovery for lung cancer and multiple myeloma Epidemiological modeling of pandemics (SARS-CoV-2 research) Financial mathematics applications in FOREX markets Data mining techniques in petroleum engineering Stochastic processes with multidimensional indices Recent publications highlight interdisciplinary work bridging: Biostatistics (genetic polymorphisms, DNA methylation) Mathematical modeling (strong laws of large numbers, central limit theorems) Computational epidemiology (social contact networks) Financial time series analysis Industrial process simulation
Dr. hab. Przemysław Matuła serves as a Professor in the Department of Applied Mathematics within the Faculty of Mathematics, Physics and Computer Science at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. His academic profile shows active teaching responsibilities including Mathematical Statistics courses for Mathematics and Mathematics in Finance programs, Master's Seminars, and Time Series in Finance instruction. His research concentrates on Probability Theory and Mathematical Statistics with specialization in limit theorems for independent and dependent random variables, various dependence concepts, and Pareto-type distributions. His scholarly work demonstrates consistent theoretical advancements in laws of large numbers, convergence theorems, and extreme value theory with applications to ratio statistics and depopulation modeling. Analysis of his recent publications reveals a strong thematic focus on exact and weak laws of large numbers across diverse dependence structures, particularly examining Pareto distributions and their applications. His work bridges theoretical probability with practical statistical applications, as evidenced by his 2024 study on identifying villages at risk of depopulation in Poland. Professor Matuła maintains regular office hours Monday and Tuesday 10:00-12:00, with departmental availability Monday-Friday during standard business hours. His teaching schedule for the 2024/2025 summer semester includes Mathematical Statistics courses for multiple degree programs.
Dr. Eng. Grzegorz Pędrak is a Lecturer at the Department of Automation and Computer Science within the Faculty of Electrical and Computer Engineering at Cracow University of Technology . His research focuses on pseudorandom number generation, signal processing, analog-to-digital conversion, and stochastic systems. He has actively contributed to publications in these areas since the early 2000s. Keywords: Pseudorandom Number Generation, Signal Processing, Analog-to-Digital Conversion, Stochastic Systems, Monte Carlo Methods Recent work includes wireless monitoring systems and automated control solutions for agricultural applications. While formal scientific awards aren't listed, his publications demonstrate expertise in converting analog signals, RNG algorithms, and stochastic converter design. His research often involves interdisciplinary methods like Monte Carlo simulations and hardware implementation of random number generators.
Prof. Dariusz Dereniowski serves as a Professor in the Department of Algorithms and Systems Modelling at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His active research profile is evidenced by recent publications and ongoing projects, with contact maintained via darderen@pg.edu.pl and phone 583471956. His research centers on theoretical computer science, specializing in graph algorithms and computational complexity. Key areas include evacuation strategies in graphs, noisy binary search under error probability, energy-constrained exploration methods, and bicriteria tree-depth optimization. This work addresses fundamental challenges in algorithm design under constraints like congestion avoidance and query inaccuracies. Analysis of his 2023-2025 publications reveals a cohesive research trajectory focused on optimizing graph traversal under physical and informational constraints. These studies advance theoretical foundations while enabling applications in network routing, multi-agent coordination, and combinatorial optimization through novel algorithmic approaches. Prof. Dereniowski leads OPUS-funded projects including "Graph modeling of search processes" (2019-2022, UMO-2018/31/B/ST6/00820) and "Przeszukiwanie struktur grafowych" (2016-2019, UMO-2015/17/B/ST6/01887), demonstrating sustained grant acquisition within the Department of Algorithms and Systems Modelling. Though formal advisees aren't listed, his project management role indicates research team leadership.
Dr. Tomasz Talaśka serves as an Associate Professor at the Department of Decision Systems and Robotics within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges optical engineering, machine learning, and control systems to develop innovative solutions for biomedical diagnostics and real-time optimization challenges. Research Focus Machine learning-enhanced optical fiber sensors for biomedical applications (glucose/CRP detection in urine) Time-fractional electrodynamics modeling using control engineering methods Deterministic optimization algorithms for low-power real-time systems Hardware-implemented programmable controllers with AI tuning capabilities His interdisciplinary approach integrates electronics, informatics, and medical engineering to create practical diagnostic tools and efficient control systems. Publication Trends (2023-2025) Dr. Talaśka's recent work shows a clear trajectory from fundamental algorithm development toward medical applications. His 2023-2025 publications demonstrate increasing focus on translating machine learning and optical sensing research into clinical diagnostics, particularly for non-invasive monitoring of metabolic conditions. The consistent collaboration with biomedical researchers across multiple publications indicates strong cross-disciplinary engagement. Scientific Awards No scientific awards were mentioned in the available institutional records. Academic Contributions As an active researcher in the Department of Decision Systems and Robotics, Dr. Talaśka contributes to advancing real-time control systems and sensor technologies. His publications in high-impact journals like Scientific Reports and Communications in Nonlinear Science reflect significant scholarly contributions. While specific student supervision details aren't provided, his position as Associate Professor implies ongoing mentorship of graduate students in robotics and decision systems.
Piotr Mironowicz serves as an Associate Professor in the Department of Algorithms and System Modeling at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His academic profile demonstrates active engagement in cutting-edge quantum information research with multiple publications in high-impact journals during 2024-2025. His research interests focus on quantum information theory, with particular expertise in quantum cryptography, quantum key distribution protocols, and quantum algorithms. Dr. Mironowicz's work explores fundamental aspects of quantum mechanics including decoherence effects, quantum measurements, and quantum nonlocality applications in computational problems. His recent publications reveal a strong research trajectory in quantum information science, with particular attention to practical implementations of quantum protocols and theoretical foundations. The research spans from cryptographic applications to graph-based quantum algorithms, demonstrating versatility across different quantum information domains. Quantum Key Distribution security analysis Quantum entropy and correlation studies Generalized quantum measurements Quantum algorithms for graph problems NISQ processor implementations Dr. Mironowicz maintains active research collaborations with international partners as evidenced by his co-authored publications in Physical Review journals and New Journal of Physics.
Grzegorz Mzyk is a Professor at Wrocław University of Science and Technology, specializing in control systems and data analysis. His research focuses on developing advanced methodologies for nonlinear system identification and statistical learning, with particular expertise in Hammerstein-Wiener systems, kernel methods, and adaptive control techniques. His core research interests span: System identification : Developing nonparametric methods for complex nonlinear systems Adaptive control : Creating robust algorithms for time-varying environments Statistical learning : Applying kernel methods and entropic metrics to data analysis Cyclostationary analysis : Innovating excitation techniques for dimensionality reduction Recent publications demonstrate strong focus on: Advancing identification techniques for Wiener-Hammerstein systems Implementing adversarial training for secure system modeling Developing error detection methods for databases using machine learning Optimizing procurement strategies through demand forecasting These works integrate control theory with contemporary machine learning approaches.
Dr. Janusz Szopa is a Professor at the University of Physical Education in Katowice and a Visiting Professor at Częstochowa University of Technology. His academic career includes roles such as Rector of Częstochowa University of Technology (1996-2002) and Dean of multiple faculties. He specializes in applying mathematical methods to technical sciences, management, and physical education, particularly in chaos theory and yoga-based wellness programs. Education & Roles: Ph.D. in Technical Sciences Former Rector of Częstochowa University of Technology Dean of Faculty of Management (Częstochowa) and Dean of Faculty of Sports and Tourism Management (Jerzy Kukuczka Academy) Course Director for Yoga-Based Physical Recreation (over 700 graduates) Research Interests: Stochastic processes in dynamic systems Chaos theory applications in finance and engineering Health benefits of yoga and relaxation techniques Mathematical modeling of economic and biological systems Awards & Recognition: Knight's Cross of the Order of Polonia Restituta (2001) Gold Badge of Merit for Sport (2005) Best Professor Award (2013, 2014) Patron of Social Aid Title (2015) for hospice work Grants & Advising: Creator of yoga instructor certification programs Co-developer of spa therapist training curricula Contributed to economic reforms at Częstochowa University Labs/Teams: Directs the 'Relaxation and Yoga' postgraduate program and oversees yoga instructor training initiatives.
Marwa M. Eid is a multidisciplinary researcher with expertise spanning biomedical engineering, reproductive health, and food science. Her work focuses on clinical applications of advanced materials, physical therapies, and food processing technologies. Research Interests Her research bridges engineering and clinical sciences, targeting: Development of nanofibrous scaffolds for wound healing Reproductive health interventions for PCOS patients Innovative applications of polarized light and infrared radiation in medical and food contexts Non-invasive therapeutic approaches like electrical acupoint stimulation Publication Trends With 38 publications across 33 years, her work shows increasing focus on clinical trials (Burns journal: 23.8%), reproductive health studies, and food technology applications. Key journals include Food Science and Technology and International Journal of Gynecology and Obstetrics . Sponsorships Japan Society for the Promotion of Science Bill and Melinda Gates Foundation National Natural Science Foundation of China NIH King Saud University Deanship of Scientific Research Collaborations Active in global co-authorship networks spanning 12 institutions and 100% sponsored research collaborations.
Dr. Eng. Jan Bolek is an Assistant Professor at the Faculty of Physics, Warsaw University of Technology. His research focuses on optical engineering and holographic technologies. Specializes in holographic pattern recording Works with photomagnetic materials and liquid crystal composites Develops diffraction control techniques His work intersects Optics , Nanophotonics , and Signal Processing with applications in advanced imaging systems. Recent publications demonstrate expertise in spatial light modulator calibration and computational holography optimization. Key contributions include: Wavefront aberration correction techniques Diffraction order suppression methods Self-organized photonic structures
