Filip Turoboś is an Assistant Professor at the Division of Insurance and Capital Markets , Lodz University of Technology . His academic profile indicates active research engagement without mention of part-time status, retirement, or former institutional affiliations. Research Focus: Dr. Turoboś demonstrates interdisciplinary expertise spanning: Mathematical Analysis : Including semimetric spaces, fixed-point theorems, and topological extensions Automotive Safety Engineering : Specializing in precrash velocity modeling using machine learning and optimization techniques Urban Mobility & Transport : Analyzing behavioral patterns during crises (e.g., pandemics) and regulatory impacts Emerging Technologies : Blockchain applications in security and ontological ecosystems Publication Trends (2020-2024): Recent works cluster into three dominant themes: Mathematical foundations of generalized metric spaces and functional analysis (30% of publications) Data-driven transportation studies focusing on pandemic-related behavioral shifts and urban policy effects (40%) Automotive crash reconstruction using AI/statistical methods and blockchain cryptography (30%)
Dr. Agnieszka Chudzik is a researcher affiliated with the Department of Machine Dynamics at Lodz University of Technology (Poland). Her work spans mechanical engineering, nonlinear dynamics, and computational methods, with a focus on bearing mechanics, finite element analysis (FEM), and chaotic systems. Research Interests: Dr. Chudzik investigates mechanical reliability and fatigue life prediction in roller bearings, utilizing FEM to analyze stress distribution and dynamic behavior. Her research also explores chaotic oscillators, multistability, and synchronization phenomena in nonlinear systems. Publications: Her recent work includes studies on extreme events in nearly conservative systems, supertransient chaos in Liénard systems, and novel applications of FEM in composite structures. She has collaborated with prominent researchers like Tomasz Kapitaniak and Bogdan Warda. Collaborations: Active in international collaborations, she has contributed to journals such as CHAOS, Entropy, and European Physical Journal - Special Topics. Her work bridges theoretical nonlinear dynamics with practical engineering challenges.
Łukasz Piskorski is a Lecturer at Lodz University of Technology, affiliated with the Institute of Physics. He teaches courses such as Physics I , Physics II , Modern Physics Laboratory , and History of Physics . Research Interests: His work focuses on optoelectronics and semiconductor laser modeling, including Simulation of nitride-based edge-emitting lasers (EELs) Optical confinement mechanisms using transparent conductive oxides Thermal management in VCSELs with subwavelength gratings Development of GaSb-based mid-infrared lasers Material parameter optimization for antimonide semiconductors Publication Trends: Recent articles emphasize computational modeling of optical and thermal properties in III-nitride and antimonide semiconductor lasers, with applications in sensing and high-efficiency light emission. Contact: Office hours in Room 106 (Building B15): Tuesday 12:15–13:00, Thursday 16:15–17:00. ORCID ID: 0000-0002-3341-6593.
Boštjan Brezovnik is a Professor at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland, affiliated with the Faculty of Law and Administration. He serves in the Department of Computer Law and Legal Professions, where his work focuses on bridging legal theory with practical applications in public administration and governance across European contexts. Dr. Brezovnik's educational background includes: Graduated from the School of Administrative Studies at the University of Ljubljana in 1996 Master of Laws degree from the Faculty of Law in Maribor Doctoral dissertation defended at the Faculty of Law in Ljubljana, Slovenia, in 2008 His primary research interests span public administration, administrative law, local government systems, financial law, public finance, and decentralized public finance systems. Dr. Brezovnik has made significant contributions to understanding fiscal decentralization, municipal finance, and the legal frameworks governing local self-government across European contexts, with particular expertise in Slovenian and EU governance models. His comparative approach examines how different jurisdictions address similar governance challenges. Analysis of his recent publications reveals a consistent focus on the intersection of law, public finance, and governance. His work demonstrates expertise in fiscal decentralization systems across EU member states, municipal financing mechanisms, and the legal frameworks governing public services and local government. His research often employs comparative methodologies to examine governance challenges in Central and Eastern Europe, with several highly cited works on public procurement and municipal finance. Dr. Brezovnik serves as editor-in-chief of "Lex localis - Journal of Local Self-Government," one of the most prestigious journals in the field of local government worldwide. He also edits the catalogue "Competences of the Slovenian municipalities" and the "Official Gazette of Slovenian Municipalities." His bibliometric profile shows 9 publications with an h-index of 2 based on Web of Science citations. As an active researcher, Dr. Brezovnik has participated in numerous international research projects conducted by the UN, EU, OSCE, Council of Europe, Open Society Institute Budapest, KIPRED, and USAID. He serves on the independent expert group for the European Charter of Local Self-Government (Council of Europe) and has led projects on local governance worldwide. His academic influence extends through lectures at institutions including Masaryk University (Brno), Infante D. Henrique Portucalense University (Porto), De Montfort University (Leicester), and universities in Slovenia. His cyclical presence in Poland reflects his ongoing international commitments that complement his UMCS position.
Dr. Aneta Wójciszyn-Wasil is an Assistant Professor at the John Paul II Catholic University of Lublin, affiliated with the Department of Visual Communication and New Media under the Faculty of Social Sciences. Her academic work focuses on contemporary media dynamics, particularly audio-based communication platforms and digital journalism. Research Interests: Her scholarship examines: War journalism and crisis reporting, especially regarding the Ukraine conflict Audio media evolution, including radio storytelling and podcasting techniques Health communication during pandemics and public emergencies Religious communication through digital platforms (Catholic influencers) Social media trends like BookTok and influencer culture Emotional design in media production and audience engagement Publications: Her recent works analyze narrative strategies in conflict reporting, emotional mechanisms in audio media, and the transformation of religious discourse through digital platforms. She frequently employs interdisciplinary approaches combining media theory, linguistics, and cultural studies. Awards & Honors: Medal of the National Education Commission (2020) Grand Prix Lublin Youth Journalist Award (2005) Eastern Foundation of Culture 'Akcent' Medal (2004) Multiple Rector's Awards for research excellence (2022, 2024) Academic Contributions: She supervises bachelor's theses on media topics, organizes national conferences on health communication, and participates in research projects including 'Catholic Influencer' (NCN-funded). She also develops educational materials on media literacy and security communication.
Prof. Sławomir Zator holds the position of University Professor at the Department of Safety Engineering and Technical Systems under the Faculty of Production Engineering and Logistics at Opole University of Technology. His research focuses on advanced diagnostics techniques using laser Doppler anemometry, thermography, and vision-based methods for infrastructure and energy systems. He also explores energy management strategies in buildings, emphasizing smart home integration with renewable energy sources like photovoltaics and heat pumps. His work bridges theoretical advancements with practical applications in power line safety, industrial equipment monitoring, and sustainable energy solutions. Research interests include: Laser-based flow measurement innovations Non-destructive evaluation of boiler tubes and power line components Machine vision applications for structural diagnostics Optimization of building energy systems Recent publications highlight trends in smart grid energy scheduling, icing risk mitigation for power infrastructure, and hybrid energy storage integration. His work often features cross-disciplinary approaches combining thermal imaging, computational modeling, and automation technologies. Prof. Zator maintains an active research profile through collaborations with international institutions and contributes to technical education via course development in safety engineering and metrology.
Maciej Banach is an Assistant Professor at the Institute of Civil Engineering, part of the Faculty of Civil Engineering, Mechanics and Petrochemistry at Warsaw University of Technology. His research focuses on civil engineering, construction processes, transportation systems, and material science, particularly in concrete and structural analysis. He has authored 19 publications, supervised 14 promoted theses, and contributed to 3 research projects. With a PhD awarded in 2019, his work emphasizes sustainable construction practices, advanced materials, and optimization of construction workflows. Education: PhD in Civil Engineering (2019). Research interests include construction assembly optimization, crane and equipment selection, cost estimation methodologies, and thermal analysis of structures. His studies on concrete with recycled materials and cubature construction techniques demonstrate a focus on innovation and practical application in civil engineering. Publications reflect a trend toward interdisciplinary solutions, blending computational tools with traditional construction challenges. His work has addressed topics like crane optimization, transportation logistics, and sustainable building materials. Achievements: 1 notable achievement recorded in institutional records, though specifics are not detailed. He has contributed to 3 research projects, though their nature is unspecified. Advising: Supervised 14 promoted theses, indicating significant contribution to academic mentorship. Grants and funding details are not explicitly provided.
Dr. hab. Piotr Dniestrzański, professor at Wrocław University of Economics, specializes in mathematical and political science approaches to fair division problems, particularly in the context of degressively proportional allocation systems. He holds an academic position in the Department of Mathematics and Cybernetics. His research focuses on optimizing seat distributions in institutions like the European Parliament, addressing paradoxes in proportional representation, and applying mathematical models to political and economic challenges. Key research areas include: Apportionment methods and divisor-based allocation systems EU parliamentary configuration dynamics Optimization theory for fair resource distribution Statistical measures of inequality and disproportionality Recent work analyzes Brexit's impact on European Parliament structure, critiques the Cambridge Compromise framework, and explores entropy-based allocation strategies. His methodologies bridge mathematical rigor with practical governance applications. Consultation hours in 2024/2025: Thursdays 12:45-13:15 via Microsoft Teams (code rs9b0dy).
Bartłomiej Wysocki is a Lecturer at the Multidisciplinary Research Center (MRC) of the University of Social Sciences and Humanities (UKSW) in Warsaw, Poland. His research focuses on advanced materials science and additive manufacturing technologies, particularly in the context of biomedical applications and metallic materials. He leads projects involving laser-based additive manufacturing (e.g., Selective Laser Melting, Laser Powder Bed Fusion), titanium alloy processing, and material characterization for medical implants. Wysocki’s work emphasizes optimizing material properties through fabrication techniques, including pore distribution in titanium scaffolds, corrosion resistance, and biocompatibility. He collaborates on interdisciplinary projects combining materials engineering with computational modeling and surface functionalization. His research also addresses challenges in defect detection via AI-driven segmentation and the development of bioactive dental implants. With 27 publications and 1 patent, Wysocki has an h-index of 13 (Scopus/WoS). His lab at UKSW’s MRC engages in cutting-edge studies on metallic glasses, in situ composites, and post-processing methods for additively manufactured parts. Notable contributions include studies on NiTi alloys, graded pore distributions, and corrosion performance evaluation.
Paweł Jarosz serves as an Assistant Professor in the Department of Computer Science at the Faculty of Computer Science and Telecommunications , Cracow University of Technology. His work bridges computational intelligence with engineering applications. Academic Rank: Assistant Professor Department: Computer Science Faculty: Computer Science and Telecommunications University: Cracow University of Technology Research focuses on game theory, evolutionary algorithms, and multi-objective optimization, particularly in: Development of immune-inspired game-theoretic optimization methods Multi-criteria decision-making systems MEMS design optimization Biologically-inspired algorithmic frameworks Sustainable transportation modeling Distributed computing environments His publications (2010-2024) demonstrate sustained research in combining game theory with artificial immune systems for complex optimization challenges across various domains including microactuator design and spatial data analysis.
Bartosz Kołodziejek is an Associate Professor at the Faculty of Mathematics and Information Science, Warsaw University of Technology. His research lies at the intersection of probability theory and mathematical statistics, with a focus on stochastic fixed point equations, free probability, and graphical models. He actively publishes in top-tier journals and maintains a strong collaborative network. His research interests include: Stochastic fixed point equations and their applications Characterizations of probability distributions on symmetric and homogeneous cones Free probability and free convolution Graphical models and high-dimensional statistics Symmetry in Gaussian models and model selection Perpetuities and tail behavior of stochastic recursions The analysis of his recent publications reveals a consistent trend in theoretical probability and statistical methodology, particularly in high-dimensional inference, random matrix theory, and invariant models. His work often involves deep analytical techniques and connections across fields such as convex analysis, exponential families, and stochastic processes. He has no listed scientific awards on his homepage. While no students or grants are explicitly mentioned, his active publication record and software contributions (such as the gips R package) suggest ongoing research leadership. He collaborates with prominent researchers in probability and statistics across Europe. He is involved in the development of statistical software, notably contributing to the theoretical foundations of the gips package for Gaussian models with permutation symmetry, used in high-dimensional data analysis.
Jacek Boroń, PhD, is a researcher at the Department of Building Engineering within the Faculty of Civil Engineering at Wrocław University of Science and Technology. His work bridges theoretical and applied aspects of structural and multidisciplinary optimization in civil engineering. His research interests include structural optimization , building envelope protection against mold growth , mathematical programming in construction management , and induced seismicity in mining areas . He applies optimization techniques to industrial construction problems such as stacks, cooling towers, and machine foundations. The recent publications reflect a strong focus on engineering optimization , thermal performance of buildings , and modernization of civil engineering education . His work often combines computational methods with practical applications in construction and mining environments. Scientific Awards: No awards listed in the provided text. Advising and Grants: No information available on students or grants. However, he has collaborated with researchers such as Paweł Bartyla, Maciej Minch, and Aleksander Trochanowski on various projects related to optimization and building technology. Labs and Teams: Affiliated with the Department of Building Engineering, Faculty of Civil Engineering. Specific lab or research team names are not mentioned, but his work suggests involvement in structural optimization and building physics research groups.
Krzysztof Walkowiak is a Professor at the Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology (PWr), where he also serves as the Dean of the Doctoral School. He leads the Computer Networks Team (ZSK) and is actively involved in multiple research projects, including Dark-Box Optimization and evolutionary methods for multi-criteria network design. A Senior Member of IEEE and IEEE ComSoc, he contributes to academic governance as a member of the Polish Academy of Sciences’ Committee on Electronics and Telecommunications. PhD in Computer Science (2000, with distinction) Habilitation in Computer Science (2008) Professor of Technical Sciences (2017) Dean of the Doctoral School, PWr (since 2020) Senior Member, IEEE and IEEE Communications Society Member, Committee on Electronics and Telecommunications, Polish Academy of Sciences His research spans computer network optimization, machine learning in networks, evolutionary algorithms, survivable optical networks, and intelligent computational techniques . He has pioneered the integration of AI methods in teleinformatics and leads initiatives in intent-based and cognitive networking. His work emphasizes multi-layer, application-aware network design and distributed processing systems. The 15 most recent publications reflect a strong trend in optimization under uncertainty, AI-driven networking, and metaheuristic algorithm development . There is a clear focus on survivability, scalability, and automation in modern network architectures, with increasing attention to edge intelligence via TinyML and cognitive systems. His recent work also addresses internationalization and pedagogical innovation in doctoral education. Fabio Neri Best Paper Award 2014 (Elsevier Journal of Optical Switching and Networking) Best Paper Award, DRCN2009 (Washington, USA) Best Paper Award, RNDM2015 (Munich, Germany) Medal of the National Education Commission (2011) Scientific Scholarship, Wrocław University of Science and Technology (2017) Star of Internationalization 2024 – Teaching Star Professor Walkowiak has supervised 10 completed PhD theses and currently mentors 5 doctoral students. He has led or managed 13 research projects funded by NCN (including 4 OPUS grants), EU, NAWA, and national agencies. His grant leadership includes the NAWA InterDocSchool project (2021–2023) and the Unite! Doctoral School curriculum development. He has reviewed over 300 journal submissions and served as session chair at 22 international conferences. He leads several research teams: Computer Networks Team (ZSK), Machine Learning Team, Advanced Data Analysis Methods Team, Metaheuristics Team, and Teaching Team . He has developed innovative educational programs such as the Research Skills course and Recent Research Trends , promoting international collaboration and doctoral training. He championed the transition to English-language instruction in the Doctoral School and promotes internationalization as a 'team sport' across institutional levels.
Michał Woźniak is a Professor at the Department of Systems and Computer Networks, Wrocław University of Science and Technology. He serves as Head of the Department and leads the Machine Learning Research Team. His research spans machine learning, pattern recognition, data stream mining, and imbalanced data classification. He actively supervises MSc theses and leads multiple research projects including those on continual learning, classifier ensembles, and fake news detection. Research Interests: Machine learning, particularly inductive and continual learning Pattern recognition and classifier ensembles Data stream mining under concept drift Imbalanced data classification Fake news and disinformation detection Cybersecurity and medical decision support His recent publications (2024–2025) focus on continual learning under concept drift, deep learning for image fusion and forgery detection, ensemble methods for imbalanced data, and AI applications in network optimization. These works reflect strong trends in adaptive machine learning, robust classification, and real-world AI deployment. Scientific Awards: BEST PAPER AWARD FOR CLVISION CVPR WORKSHOP 2024 He supervises numerous students and collaborates extensively on interdisciplinary projects. He has been involved in projects such as LM LDS (2021–2024), MOO (2020–2025), IDStream (2018–2022), and others. He is also a project manager and active in academic service, including membership in the Committee on Informatics of the Polish Academy of Sciences. His research group maintains a strong presence in AI and machine learning applications. Laboratory and Teams: He leads the Machine Learning Team and is involved in multiple research groups including the Advanced Data Analysis Methods Team and Metaheuristics Team . His lab focuses on developing robust, adaptive AI models for real-world challenges.
Dr. Eng. Tomasz Babczyński is a researcher at Wrocław University of Science and Technology, affiliated with the Faculty of Computer Science and Telecommunications and the Department of Technical Computer Science. Software Engineering (specializing in Software Performance Engineering) Geographic Information Systems (GIS) software Image processing and pattern recognition (focusing on handwritten document analysis) His research spans interdisciplinary applications of computer science, including: Railway systems dependability analysis (ERTMS/ETCS protocols) Historical landscape modeling using GIS Multiagent system performance evaluation for power systems Advanced techniques for line segmentation in handwritten documents Recent publications (2020-2024) demonstrate expertise in tensor voting algorithms, data heterogeneity challenges, and safety-critical system analysis. His work combines theoretical computer science with practical applications in transportation, energy, and historical information systems. Contact: tomasz.babczynski@pwr.edu.pl
