جست‌وجوی استاد و پژوهشگر

• Discrete Optimization
• Combinatorial Optimization
• Approximation Algorithms
• +۵ مورد دیگر

Jarosław Byrka is a Professor in the Combinatorial Optimization group at the Institute of Computer Science, University of Wrocław. He has held postdoctoral positions at TU Eindhoven and EPFL, and has been a full professor since 2021. His research focuses on algorithmic and mathematical aspects of discrete optimization problems. Research Interests: His primary research areas include Discrete Optimization, Location and Covering Problems, Network Design, and LP-rounding Approximation Algorithms. He employs advanced techniques such as randomized rounding to develop efficient approximation algorithms for NP-hard problems. His work bridges theoretical foundations with practical applications in network design and resource allocation. The recent publications, such as the 2024 result on the integrality gap of BCR, reflect a strong trend in pushing the limits of approximation guarantees in combinatorial optimization. His research consistently contributes to the theoretical understanding of LP-based methods and their applications in graph and network problems. Scientific Awards: STOC 2010 Best Paper Award Witold Lipski Prize Advising and Grants: He has successfully supervised five PhD students to graduation and mentored several postdoctoral researchers including Joachim Spoerhase, Meesum Syed Mohammad, Martin Boehm, Sandip Banerjee, and Yongho Shin. While specific grant details are not listed, his long-term research productivity and leadership in major conferences suggest sustained funding support. Labs and Teams: He is a key member of the Combinatorial Optimization group at the University of Wrocław, contributing to its international visibility through editorial work and conference organization.

• Composite Materials
• Friction Stir Welding
• Materials Science
• +۵ مورد دیگر

Przemysław Nosal serves as a Lecturer in the Department of Machine Design and Operation at the Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology in Kraków, Poland. His academic profile combines teaching responsibilities with active research in advanced materials engineering, holding both PhD and Eng. qualifications. His research spans composite material development (including biodegradable PLA/PHBV systems, geopolymer composites, and biobased polyethylene hybrids), friction stir processing techniques for metals, and numerical modeling using micropolar theory. Specific focus areas include mechanical/thermal property characterization, natural fiber reinforcement, epoxy resin modification with nanoparticles, and electrocoagulation applications for industrial wastewater treatment. Analysis of his 2017-2024 publications reveals consistent innovation in sustainable composite systems and friction stir technology optimization. His work demonstrates strong integration of experimental methods with computational modeling, particularly in characterizing how processing parameters affect material microstructure and performance in aluminum and copper systems. No scientific awards were documented in the source materials. Information regarding student supervision, research grants, laboratory facilities, or collaborative research teams was not provided in the available documentation.

• Computer Science
• Numerical Algorithms
• Cryptography
• +۳ مورد دیگر

Dr. Joanna Kapusta is an Assistant Professor in the Department of Applied Computer Science at the John Paul II Catholic University of Lublin, Poland. She is affiliated with the Faculty of Natural and Technical Sciences, where she conducts research in computational mathematics and cryptography. Her work primarily focuses on the design and optimization of algorithms for polynomial interpolation, numerical transformations, and cryptographic protocols. Her research interests span several key areas: Numerical Algorithms : Development of efficient methods for polynomial evaluation, interpolation, and transformation. Cryptography : Designing secure systems for secret sharing, e-voting, and encryption. Computational Mathematics : Applications in knot theory, semigroup evaluation, and matrix operations. Her publications demonstrate a consistent focus on optimizing computational efficiency in mathematical operations, with applications ranging from cryptographic security to educational tools. Articles frequently involve collaborative work, particularly with co-author Ryszard Smarzewski. No awards, students, or grant activities are mentioned in the provided materials.

• 3D Image Processing
• Industrial Process Control
• X-ray Tomography
• +۲ مورد دیگر

Laurent Babout is a Research Professor at Lodz University of Technology's Institute of Applied Informatics, within the Faculty of Electrical Engineering, Electronics, Computer Science and Automation. His research bridges 3D imaging and industrial applications. Primary research interests include X-ray tomography for material damage analysis, 3D image processing for industrial control systems, and development of process tomography sensors. He co-led European grants DENIDIA (FP6) and TOMOCON (H2020) focused on tomography advancements. Teaching includes IT courses in Computer Science and Human-Computer Interaction programs, utilizing flipped education methods like problem-based learning and POGIL. Recent publications demonstrate strong focus on multiphase flow analysis (72%) and industrial tomography applications (68%), with 40% involving AI/ML methods for image processing. Research frequently addresses granular material dynamics and real-time process control.

• Tomography
• Image Reconstruction
• Machine Learning
• +۲ مورد دیگر

Robert Banasiak is Research Professor at Lodz University of Technology's Institute of Applied Informatics, specializing in industrial tomography and computational imaging. His research develops advanced algorithms for 3D electrical capacitance tomography (ECT) with applications in multiphase flow monitoring and process control. Recent innovations include machine learning classifiers for flow regime identification, GPU-accelerated reconstruction techniques, and 3D-printed sensor designs. Key research areas: Real-time 3D imaging for industrial processes Machine learning applications in tomography High-performance computing for image reconstruction Additive manufacturing of sensor systems Multiphase flow quantification Technological contributions include graph-based reconstruction methods, multi-GPU algorithms for tomographic processing, and development of hybrid ECT/ERT systems. Research addresses fundamental challenges in measurement resolution, computational efficiency, and sensor design for harsh industrial environments.

• Maritime Engineering
• Collision Avoidance Algorithms
• Autonomous Vessel Navigation
• +۳ مورد دیگر

Agnieszka Lazarowska is an Assistant Professor in the Department of Ship Automation at the Faculty of Electrical Engineering, Gdynia Maritime University. Her research focuses on developing algorithms for safe trajectory planning in maritime systems, emphasizing collision avoidance for autonomous and manned vessels. She holds a PhD(Eng) from Gdynia Maritime University and has conducted extensive studies under the mentorship of Professor Józef Lisowski. Her academic journey includes a TransFormation program at Lund University (2015), enhancing her skills in entrepreneurship and innovation. Lazarowska has led the NOAA project (2018-2019), funded by IAMU and the Nippon Foundation, which involved real-world testing of collision avoidance algorithms aboard the Horyzont II research vessel. She published a monograph, Safe Trajectory Planning for Maritime Surface Ships , with Springer in 2022. Her research integrates real navigational data, algorithm optimization, and maritime regulations to improve shipping safety and environmental protection. Lazarowska advocates for interdisciplinary approaches and student engagement in innovative projects.

Paweł Wachelمشاهده پروفایل

پژوهشگر

• Control Theory
• System Identification
• Signal Processing
• +۵ مورد دیگر

Paweł Wachel is a researcher at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. He is actively engaged in research and academic activities, with recent publications spanning from 2022 to 2024. Research Interests: His primary research areas include control theory, system identification, signal processing, and nonlinear systems. He specializes in the modelling and identification of complex systems such as Wiener, Hammerstein, and infinite memory nonlinear systems, employing advanced techniques like kernel-based methods, aggregative modelling, and exponential excitations. The recent publications indicate a strong focus on both theoretical and applied aspects of control systems, with increasing integration of learning-based and data-driven approaches. Topics such as safe learning, decentralized diffusion, and dual averaging algorithms reflect modern trends in adaptive and robust control. The interdisciplinary reach extends into neural networks and materials science, particularly in using fractal analysis for material hardness estimation. Scientific Awards: No awards or fellowships are mentioned in the provided text. Advising and Grants: While no specific students or grant funding are listed, Paweł Wachel collaborates extensively with researchers such as Krzysztof R Kowalczyk, Cristian R Rojas, Koen Tiels, and others, suggesting active participation in research teams and potential supervision roles. His consistent publication output indicates sustained research activity, likely supported by institutional or project-based funding. Labs and Teams: As a member of the Department of Control Systems and Mechatronics, he is likely involved in research laboratories focused on control systems, system identification, and mechatronic applications, though specific lab names or team structures are not detailed in the provided content.

Mieczysław Wodeckiمشاهده پروفایل

استاد

• Discrete Optimization
• Scheduling Problems
• NP-hard Problems
• +۷ مورد دیگر

Professor Mieczysław Wodecki is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, where he is a member of the Department of Telecommunications and Teleinformatics. He holds a DSc and PhD and is actively engaged in research and teaching. Research Interests: His work centers on discrete optimization, scheduling problems, and methods for solving NP-hard problems. He applies parallel computing and probabilistic models to challenges in project management and automation in construction. His research bridges theoretical computer science with industrial engineering applications, particularly in manufacturing and production systems. The recent publications highlight a strong focus on cyclic job shop and flow shop scheduling, with an emphasis on parallel algorithms and metaheuristics. These works contribute to the optimization of manufacturing processes, especially in cyclic and flexible production environments. Scientific Contributions: While no specific awards are listed, his extensive publication record in reputable journals such as Computers & Industrial Engineering and Bulletin of the Polish Academy of Sciences: Technical Sciences reflects sustained scholarly impact. Advising and Grants: Information on students advised or research grants received is not available in the provided text. Laboratories and Teams: He collaborates closely with researchers including W. Bożejko, J. Pempera, and A. Gnatowski, contributing to a research group focused on discrete systems and scheduling optimization. His work appears in special issues dedicated to discrete systems, indicating active participation in thematic research initiatives.

• Control systems
• System identification
• Pattern recognition
• +۳ مورد دیگر

Professor Ewaryst Rafajłowicz is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, serving as Head of the Department of Control Systems and Mechatronics. His research spans control systems, pattern recognition, image processing, and spatio-temporal dynamics, with recent work focusing on iterative learning control, signal classification, and vibration analysis in industrial systems. Control systems System identification Pattern recognition Image processing Statistical process control Mechatronic control Recent publications highlight his expertise in functional data analysis, Bernstein polynomial applications, and shape-preserving descriptors for classification tasks. He has contributed to both theoretical advancements in control algorithms and practical implementations in industrial settings, particularly in vibration damping and mechatronic systems.

Czesław Smutnickiمشاهده پروفایل

استاد

• Manufacturing Systems
• Operations Research
• Optimization
• +۳ مورد دیگر

Prof. Czesław Smutnicki is the Dean and Head of the Department of Computer Engineering at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His research focuses on manufacturing systems, operations research, and optimization, with a particular emphasis on scheduling algorithms and metaheuristics. Current Position: Dean, Department of Computer Engineering Institution: Wrocław University of Science and Technology Research Areas: Cyclic scheduling, Lagrangian relaxation, quantum annealing, and multi-criteria optimization Recent publications show a trajectory from classical scheduling (1996-2018) to modern applications involving quantum computing and distributed systems. The articles cluster around three main themes: (1) quantum-enhanced scheduling optimization, (2) Lagrangian relaxation techniques for tardiness minimization, and (3) robust scheduling under uncertainty in multi-vehicle/worker environments. Contact: czeslaw.smutnicki@pwr.edu.pl

Filip Turobośمشاهده پروفایل

استادیار

• Mathematical Analysis
• Automotive Safety Engineering
• Transportation Systems
• +۳ مورد دیگر

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%)

Piotr Dniestrzańskiمشاهده پروفایل

استاد

• Political Science
• European Union Studies
• Mathematical Economics
• +۳ مورد دیگر

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).

Tomasz Kozłowskiمشاهده پروفایل

پژوهشگر

• Applied Engineering
• Industrial Data Analysis
• Non-Destructive Testing (NDT)
• +۶ مورد دیگر

Tomasz Kozłowski is a researcher at Wrocław University of Science and Technology, actively involved in the Team of Advanced Data Analysis Methods (Zespół Zaawansowanych Metod Analizy Danych - ZZMAD). His work bridges engineering and data science, with a strong emphasis on industrial applications, particularly in mining and mechanical systems diagnostics. Research Interests: Non-invasive diagnostics of machinery using NDT techniques Modeling of conveyor belt systems in surface and underground mines using DEM Signal processing for industrial monitoring Development of optimization algorithms for multi-criteria and multi-level engineering problems His research projects focus on evolutionary optimization methods, multi-objective classifier training, and application-aware network optimization, reflecting a deep integration of computational intelligence with real-world engineering challenges. Scientific Awards: Rector's Award for Scientific Achievements (2017) Rector's Award for Scientific Achievements (2018) Recognition in the Mining Success of the Year competition, category Innovation (2018) Tomasz Kozłowski is engaged in advanced research projects involving black-box optimization, gene-inspired search techniques, and multi-layered network optimization. He contributes to the academic community through research platforms such as ORCID, ResearchGate, and the DONA scientific output system of PWr. Laboratory and Research Teams: Team of Advanced Data Analysis Methods (ZZMAD) Machine Learning Team Computer Networks Team Teaching Team Metaheuristics Team

Marek Kałuszkaمشاهده پروفایل

استاد

• Actuarial Science
• Insurance Mathematics
• Risk Theory
• +۳ مورد دیگر

Professor Marek Kałuszka is a research and teaching university professor at the Insurance and Capital Markets Department, Faculty of Fundamental Problems of Technology, Lodz University of Technology. His career spans over three decades with significant contributions to actuarial science, risk theory, and fuzzy integrals. PhD advisees: Wojciech Antoniak (1999), Michał Boczek (2016), Michał Krzeszowiec (2013) Email: kaluszka@p.lodz.pl | Room: 168 | Phone: +48 42 631-38-59 Research focuses on: Actuarial mathematics and premium calculation principles Fuzzy integrals and their applications in risk modeling Portfolio immunization strategies and financial risk management Generalized Sugeno integrals and copula-based aggregation Applications of fuzzy measures in insurance and decision theory Mathematical inequalities for fuzzy integrals and risk assessment Recent publications (2021-2025) demonstrate expertise in: Extended Choquet-Sugeno operators for multi-valued data Benchmark-type generalizations of Sugeno integrals Monotonicity properties in fuzzy aggregation Prékopa-Leindler type inequalities for Sugeno integrals Generalized level measures with conditional aggregation Survival functions based on fuzzy operators

• Control Systems
• System Identification
• State Estimation
• +۴ مورد دیگر

Jędrzej Byrski is a Lecturer at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków. His research focuses on control systems, system identification, and state estimation techniques, particularly in industrial processes like glass conditioning and melting. He serves as Deputy Head of the Department of Applied Informatics and is involved in the Council for the Quality of Education in Technical Information Technology and Telecommunications. Research Trends: His work emphasizes adaptive control strategies using modulating functions, non-asymptotic state estimators, and finite-memory algorithms for fault detection. Key applications include stabilization of nonlinear systems, parameter identification in multi-inertial systems, and real-time diagnostics of abrupt changes in continuous processes. Academic Roles: Deputy Head of the Department of Applied Informatics Member of Council for Quality of Education in Technical Information Technology and Telecommunications