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Radosław PietrzykView profile

Professor

• Financial Risk Management
• Cryptocurrency Markets
• Econometrics
• +3 more

Dr hab. Radosław Pietrzyk, prof. UEW, is a Professor at the Department of Financial Investments and Risk Management within the University of Economics in Wrocław. His research focuses on financial risk management, household financial planning, cryptocurrency markets, and econometric modeling. He specializes in developing integrated risk models for households, evaluating Value at Risk (VaR) forecasts, and analyzing market dynamics during crises such as the subprime mortgage collapse, the global pandemic, and geopolitical conflicts like the Russo-Ukrainian war. His work often intersects with practical applications, including stress testing financial instruments, optimizing investment portfolios, and assessing mutual fund performance in Polish and global markets. Pietrzyk’s methods emphasize statistical rigor, with contributions to Divisia Index applications for stock exchange analysis and multi-objective optimization frameworks for household financial goals. Recent articles highlight his exploration of green bonds’ governance effectiveness and cryptocurrency exchange rate volatility. His research frequently addresses longevity risk, risk aversion in retirement planning, and the integration of environmental factors into financial decision-making. Pietrzyk maintains active academic engagement, offering consultations via email (radoslaw.pietrzyk@ue.wroc.pl) and through Microsoft Teams. His consultancy hours are Monday 8:00-9:30 AM. He collaborates with external institutions and contributes to the academic community through platforms like ResearchGate and ORCID.

• Optimal periodic control
• Evolutionary algorithms
• Control theory
• +3 more

Marek Skowron is an academic researcher at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology, specializing in optimal periodic control and evolutionary algorithms. He is affiliated with the Department of Control Systems and Mechatronics. Research Interests: His work focuses on optimizing periodic control systems with inventory and energy constraints, applying evolutionary algorithms to find globally optimal solutions for complex industrial processes. Special emphasis is placed on stability analysis and multifrequency control approaches. Publication Trends: His research spans from 2004 to 2016, demonstrating consistent application of evolutionary computation to control system optimization, particularly in industrial and chemical engineering contexts. Key themes include constraint handling, cycle stability, and multiobjective optimization frameworks. Contact: Email: marek.skowron@pwr.edu.pl Office: C-3, room 217 Hours: Thursdays 19:00-21:00, Fridays 19:00-21:00

• Evolutionary Computation
• Global Optimization
• Artificial Intelligence
• +5 more

Professor Jarosław Arabas is a distinguished academic at Warsaw University of Technology's Faculty of Electronics and Information Technology, currently serving as Head of the Division of Artificial Intelligence (since 2024) and previously as Director of the Institute of Computer Science (2016-2024). His institutional leadership includes roles as Head of the Scientific Council for Information and Communications Technology and Head of the Faculty Council Committee on Research since 2009. His educational background includes M.Sc. (1993), PhD (1996), and D.Sc. (2006) degrees. Key research areas span Evolutionary Computation, Global Optimization, Artificial Intelligence, Neural Networks, Decision Making Under Uncertainty, Smart Grids, and Energy Markets. His work demonstrates strong interdisciplinary connections between computational methods and energy systems applications. Analysis of his 15 most recent publications reveals dominant trends in surrogate-assisted optimization, particularly for JADE and CMA-ES algorithms, with significant focus on step-size adaptation, matrix-free implementations, and performance benchmarking. His research consistently bridges theoretical algorithm development with practical applications in energy markets and smart grid systems, while maintaining strong contributions to evolutionary computation theory. Rector's Award in Science (2020) Rector's Award in Education (2021) Professor Arabas has supervised 50 promoted theses and led 15 research projects, demonstrating exceptional mentorship capacity. His leadership extends to directing the Institute of Computer Science and heading the Artificial Intelligence Division. Current research activities involve the Zespół Metaheurystycznych Metod Optymalizacji i Ich Zastosowań (Metaheuristic Optimization Methods and Their Applications Team), which he leads, alongside membership in the Koło Naukowe Sztucznej Inteligencji 'GOLEM' (Scientific Circle of Artificial Intelligence).

Katarzyna Grzesiak-KopećView profile

Assistant Professor

• Computational Intelligence
• Machine Learning
• Computer-Aided Design
• +2 more

Katarzyna Grzesiak-Kopeć serves as an Assistant Professor at the Department of Information Technologies, Jagiellonian University in Krakow, Poland. Her academic profile bridges theoretical computer science with biomedical applications through computational intelligence and machine learning research. Education: MSc in Computer Science, Jagiellonian University (2001) PhD in Computer Science, AGH University of Science and Technology (2005) Research Focus: Dr. Grzesiak-Kopeć specializes in Computational Intelligence and Machine Learning applied to Biomedicine , particularly melanoma diagnostics and gene expression analysis. Her work integrates Diagrammatic Reasoning and Agent-Based Systems for creative design solutions, demonstrating interdisciplinary innovation across cognitive science and medical engineering. Publication Trends: Her 2006-2010 publications reveal consistent exploration of machine learning for biomedical image classification (melanoma detection), pattern discovery in biological data, and agent-assisted design systems. Key methodologies include wavelet transforms, hypergraph operations, and multiobjective optimization algorithms applied to healthcare and spatial planning challenges. Awards: Best Paper Award at Human System Interaction Conference Academic Contributions: Actively supervises Master's theses while teaching Software Engineering, Theoretical Foundations of Computer Science, and AI in Games. Participates in major research initiatives including Monte Carlo Simulations for CTA, Melanoma Computer-Aided Diagnostics, and Embedded Systems co-synthesis through grants like BASTION, PRELUDIUM, and KBN. Associated with Juna Network Academy for academic collaboration.

• Agent-Based Simulation
• Distributed Systems
• Robotics
• +4 more

Wojciech Turek is a University Professor at the Institute of Computer Science, Faculty of Computer Science, AGH University of Science and Technology in Krakow, Poland. He serves as the Faculty Innovation Broker and is a member of the Disciplinary Council for Technical Information Technology and Telecommunications. His research focuses on agent-based simulation, distributed systems, and robotics. His research interests span scalable agent-based computing, urban traffic simulation, robot coordination, and high performance computing. He has developed novel design patterns for distributed simulation and has applied his work to domains such as traffic management, pedestrian dynamics, and multi-robot systems. His approach often leverages the actor model and Erlang for building highly scalable systems. An analysis of his recent publications reveals a strong trend towards scalability and decentralization in simulation and robotics. His work integrates techniques from evolutionary computation, ant colony optimization, and signal propagation to address complex problems in urban environments and robot coordination. He has also explored applications in vehicle safety using mobile phone technology. Professor Turek holds the position of Faculty Innovation Broker at the Faculty of Computer Science, indicating an active role in technology transfer and innovation within the university. While specific details of his advising and grants are not provided in the available information, his extensive publication record suggests significant research activity.

Ewa DeelmanView profile

Research Professor

• Scientific Workflow Management
• Distributed Systems
• Resource Provisioning
• +5 more

Ewa Deelman is a Research Professor in the Department of Computer Science at the University of Southern California (USC) and a Principal Scientist at the USC Information Sciences Institute. She also directs Science Automation Technologies, a research group focused on automating scientific processes through advanced workflow management solutions. Her work is foundational in enabling complex scientific computations across distributed computing environments. Deelman's research centers on scientific workflow automation, including resource provisioning, data management, and job scheduling in distributed systems. She pioneered workflow planning for distributed computations and leads the development of the Pegasus Workflow Management System. Current interests extend to anomaly detection using machine learning, quantum-classical hybrid workflows, and edge-to-cloud continuum integration. Her group's work bridges theoretical advances with practical tools for domain sciences like seismology and molecular dynamics. Analysis of her recent publications reveals a strong emphasis on enhancing workflow robustness through machine learning and emerging technologies. Key trends include LLM-based scheduling optimization, pandemic-driven resilience studies, and quantum workflow integration. Her work increasingly addresses cross-cutting challenges in data-intensive science, particularly in managing computational workflows across heterogeneous infrastructures from edge devices to cloud platforms. As Director of Science Automation Technologies, Deelman oversees a team that has made Pegasus a cornerstone tool in scientific computing. The system handles complex workflow orchestration for projects like CyberShake (seismic hazard analysis) and molecular dynamics simulations, automating data movement, execution, and error recovery across campus clusters, supercomputers, and cloud resources.

• Game Theory
• Evolutionary Algorithms
• Artificial Immune Systems
• +6 more

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.

Jacek BorońView profile

Researcher

• Structural Optimization
• Multidisciplinary Optimization
• Civil Engineering
• +7 more

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.

• Multiobjective Optimization
• Evolutionary Algorithms
• Combinatorial Optimization
• +3 more

Professor Andrzej Jaszkiewicz is a faculty member at the Faculty of Computer Science and Telecommunications, Poznań University of Technology, where he works in the Institute of Informatics. He holds the position of full professor with extensive experience in multiobjective optimization and evolutionary algorithms, as evidenced by his habilitation completed in 2001 and continuous research output through 2025. Professor Jaszkiewicz's research focuses on theoretical and practical aspects of multiobjective optimization, particularly addressing the challenges of many-objective problems. His work spans quality indicator development (hypervolume, R2), efficient data structures (ND-Trees), evolutionary algorithm design, and applications to combinatorial optimization problems. His publications demonstrate consistent theoretical rigor combined with practical implementation considerations. Recent publications (2022-2025) reveal continued productivity with multiple articles in top journals like IEEE Transactions on Evolutionary Computation and Physics of Fluids. These works explore theoretical properties of quality indicators, efficient calculation methods, and novel applications of optimization techniques to complex problems including fluid dynamics. Professor Jaszkiewicz has supervised doctoral research including Tarek Alkhaeir's 2021 dissertation on software quality metrics and Marek Kubiak's 2009 work on memetic algorithms. He has also reviewed numerous doctoral dissertations in related fields, demonstrating his standing in the academic community and commitment to graduate education. His scholarly output includes journal articles, conference papers, book chapters, and two books. The 2005 edited volume 'Advanced OR and AI methods in transportation' reflects his interest in practical applications of optimization techniques. His research demonstrates sustained scholarly activity from the 1990s to the present, with particular emphasis on advancing the state-of-the-art in multiobjective optimization theory and practice.