جست‌وجوی استاد و پژوهشگر

• Agent-Based Simulation
• Distributed Systems
• Robotics
• +۴ مورد دیگر

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.

Kazimierz Chorośمشاهده پروفایل

استاد

• digital image and video processing
• content-based video indexing and retrieval
• computer animations
• +۴ مورد دیگر

Kazimierz Choroś is a Professor at the Department of Applied Informatics , Faculty of Information and Communication Technology , Wrocław University of Science and Technology. He held leadership roles as Deputy Director of the Institute of Informatics (2008-2014) and Deputy Dean of the Faculty of Computer Science and Management (2016-2020). Research interests: digital image/video processing, content-based video indexing, computer animations, multimedia systems, web systems analysis, and information systems design. Organizer and Chair of the International Conference on Multimedia & Network Information Systems (MISSI 2022) Chair of Special Session WebSys 2020 at ICCCI 2020 Other activities: Since 1993, member and former President (1993-2002) of the SAGE Association (Polish Graduates of French Grandes Ecoles). Since 1982, member of the Polish Numismatic Society, author of dozens of numismatic publications, and Editor-in-Chief of Wrocławskie Zapiski Numizmatyczne (2003-present). Contact: Email: kazimierz.choros@pwr.edu.pl Phone: +48-71.320.3799 Office: Building D2, Room 201/1 Address: Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland

• EEG
• Quantitative EEG
• sLORETA
• +۸ مورد دیگر

Dr. Eng. Piotr Schneider serves as an Assistant Professor at the Department of Neuroinformatics and Biomedical Engineering, Faculty of Mathematics, Physics and Computer Science, University of Maria Curie-Skłodowska (UMCS). His academic profile includes active research in neuroinformatics and biomedical engineering, with office hours held Wednesdays and Thursdays in Room D513. Position: Assistant Professor Department: Neuroinformatics and Biomedical Engineering Faculty: Mathematics, Physics and Computer Science University: Maria Curie-Skłodowska University (UMCS) Email: piotr.schneider@mail.umcs.pl Office Hours: Wednesday 11:00-12:00, Thursday 13:30-14:30 Research interests center on EEG-based analysis of cognitive processes, particularly in credibility evaluation and psychiatric disorders. His work combines neuroscience with machine learning tools to model brain activity patterns, focusing on ERP components like P300, source localization techniques (sLORETA), and biomarker identification. Recent publications demonstrate expertise in neural signal processing for credibility assessment, machine learning applications in EEG classification, and brain-computer interface development. Key areas include message/source credibility neural correlates, psychiatric disorder EEG patterns, and practical implementations using Azure machine learning and MATLAB tools. With an ORCID ID 0000-0002-9666-9408 and 11 total publications, Dr. Schneider maintains a strong presence in computational neuroscience and biomedical signal processing. His research combines quantitative EEG analysis , artificial intelligence , and neuropsychiatric applications to advance understanding of brain processes.

Olha Matsyiمشاهده پروفایل

استادیار

• Operations Research
• Mathematical Optimization
• Computer Science
• +۳ مورد دیگر

Olha Matsyi serves as an Assistant Professor (post-doc) within the Division of Applications of Contemporary Mathematical Analysis at Lodz University of Technology, with contact details including email olha.matsyi@p.lodz.pl and phone (+48) 42 631-36-17. Her research focuses on Operations Research and Mathematical Optimization, specializing in combinatorial algorithms for location theory, knapsack problems, community detection, and VLSI routing. She employs metaheuristic and bio-inspired methods to solve NP-hard optimization challenges, bridging theoretical mathematics with engineering applications in healthcare logistics and crisis management. Publications from 2020-2025 demonstrate increasing emphasis on real-world implementations like mobile medical service optimization and decision support systems, alongside theoretical advances in continuous coverage and constrained classification. Collaborative work with researchers such as Oksana Pichugina highlights her interdisciplinary approach to algorithm design. No scientific awards were documented. Information regarding student mentorship, research grants, or specific laboratory teams was not provided in the source material.

• Artificial Intelligence in E-Commerce
• ERP Systems
• Sustainable Development
• +۳ مورد دیگر

Katarzyna Ragin-Skorecka is a Researcher at the Faculty of Management Engineering , Poznan University of Technology , focusing on Artificial Intelligence in E-Commerce , ERP Systems , and Sustainable Development . She supervises doctoral dissertations and contributes to research on process optimization and digital transformation in business environments. Research Interests AI applications in e-commerce and procurement ERP system integration and sustainability Organizational process maturity and digital tools Doctoral Supervision Zuzanna Sikorska (2024): E-Procurement Maturity Filip Nowak (2024): AI-Driven Decision Processes Grażyna Ortyl (2018): Healthcare Financial Planning Her work bridges technical systems and human factors , emphasizing digital transformation and operational efficiency across industries.

Piotr Arłukowiczمشاهده پروفایل

مدرس

• 3D Graphics
• Scientific Visualization
• Parallel Computing
• +۲ مورد دیگر

Piotr Arłukowicz is a Lecturer in Software Engineering at the University of Gdańsk, specializing in 3D graphics and computational visualization. He mentors students in graphics programming, animation technologies, and parallel computing frameworks. His applied research includes: Scientific visualization for STEM education High-performance computing architectures Special effects for film production Blender-based educational tools He develops interdisciplinary applications bridging computer science with physics and mathematics education through visual simulation techniques.

Ewa Deelmanمشاهده پروفایل

استاد پژوهشی

• Scientific Workflow Management
• Distributed Systems
• Resource Provisioning
• +۵ مورد دیگر

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.

• 3D Sound Engineering
• Interactive Sound Design
• Virtual Reality Applications
• +۵ مورد دیگر

Przemysław Danowski is an Assistant Professor at the Department of Sound Engineering, Chopin University of Music. As an interdisciplinary artist, sound director, and performer, he specializes in spatial, interactive, and procedural sound, with expertise in VR/AR and immersive music documentaries. He holds a PhD in Sound Engineering and is a member of the Audio Engineering Society. Education: Graduate of Fryderyk Chopin Academy of Music in Warsaw Graduate of Multimedia Artistic Creation Workshop (PMKA) joint program with Academy of Fine Arts in Warsaw His research focuses on spatial audio, immersive music recording techniques, and digital distribution of multimedia content. He leads the #UMFCVR project, developing VR software for high-resolution concert recordings and a specialized projection booth for public access to VR content. Awards: Best VR Sound Design Award (Cinequest Festival 2021) His work bridges art and technology, emphasizing innovative approaches to sound in virtual environments and multimedia promotion.

Beata Czarnacka-Chrobotمشاهده پروفایل

استاد

• Software Process and Product Measurement
• Software Engineering
• Data Analysis
• +۴ مورد دیگر

Professor Beata Czarnacka-Chrobot is the Dean of the Collegium of Economic Analysis and Head of the Institute of Information Systems and Digital Economy at SGH Warsaw School of Economics. Her research focuses on software process and product measurement, with over 100 publications in this domain. She actively contributes to international advisory roles, including the COSMIC Consortium and Polish Association for Software Measurement (PSMO). Her work emphasizes methodological advancements in software cost estimation, benchmarking, and AI-driven analytical frameworks. Research interests span software engineering, functional size measurement, and the application of machine learning to improve project cost predictions. She has pioneered studies on ISO/IEC standards compliance in Polish software procurement and the economic implications of workflow system enhancements. As a leader in academic administration, she oversees doctoral programs and institutional strategy. Awards include the Marek Car Award, recognizing her contributions to economic informatics and software measurement disciplines.

• Mechanical Engineering
• Aerospace Engineering
• Aircraft Engine Design
• +۵ مورد دیگر

Ryszard Chachurski is a Professor at the Military University of Technology, specializing in mechanical and aerospace engineering with a focus on aircraft engine design, turbine dynamics, and icing environment analysis. He has contributed to over 17 publications, 20 promoted theses, and 2 projects, with a h-index of 1 in both Scopus and Web of Science. His research spans miniature jet engines, UAV propulsion systems, and engine performance under extreme conditions. Key areas of expertise include ground testing of turbine engines, structural analysis of ducted fans, and in-flight icing susceptibility of induction systems. He has explored environmental threats in aviation, atmospheric effects on engine performance, and anti-icing systems for aircraft safety. His work integrates numerical modeling (e.g., GasTurb simulations) with experimental validation. Chachurski’s publications emphasize practical applications like mobile engine test stations for aerial targets and modal analysis for engine diagnostics. He has also addressed challenges in unmanned aerial vehicle (UAV) propulsion systems and piston engine icing problems. His research often bridges theoretical models with real-world testing, such as analyzing wing-in-ground-effect craft water landings and turbine blade strength under dynamic loads.

• Aerodynamics
• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• +۶ مورد دیگر

Michał Frant is an Assistant Professor at the Military University of Technology, specializing in aerodynamics and fluid mechanics. His research focuses on computational fluid dynamics (CFD), jet engine intake systems, and the aerodynamic characteristics of missiles, UAVs, and aircraft. He has authored 27 publications, supervised 13 promoted theses, and led 4 research projects. His work emphasizes turbulence modeling, ground effect analysis, and propulsion-aerodynamics integration in defense and aerospace applications. Research Interests: Dr. Frant’s expertise spans experimental and numerical studies in aerodynamics, including intake vortex dynamics, missile design optimization, and airborne launch platforms for space operations. His CFD-driven approaches address complex flow phenomena such as gust effects, blade cascade flows, and asymmetric/symmetric flow conditions. Key Achievements: With an h-index of 3 (Scopus/WoS), his work bridges theoretical fluid dynamics and practical applications in defense technology. Notable projects include analyzing intake system stability under flow throttling and investigating composite materials for aerial targets. He has also explored the repurposing of decommissioned fighters as space launch platforms. Advising & Grants: Having mentored 13 thesis students, his academic contributions extend to training future engineers in CFD and experimental aerodynamics. His 4 research projects likely involve collaborations with defense industries and military institutions, focusing on advanced propulsion systems and UAV design. Labs/Teams: While specific lab affiliations are not detailed, his work aligns with the university’s aerospace and mechanical engineering departments, leveraging wind tunnel facilities and computational resources for aerodynamic testing.

• Cybersecurity
• Military Internet of Things (MIoT)
• Wireless Sensor Networks (WSN)
• +۴ مورد دیگر

Jan Piotr Chudzikiewicz is an Assistant Professor at the Faculty of Cybernetics of Warsaw University of Technology. His research focuses on cybersecurity, military IoT systems, wireless sensor networks (WSN), and fault tolerance mechanisms. He has extensively collaborated on projects involving trusted platform modules (TPM) for securing communication, hypercube network architectures, and reliability engineering in embedded systems. Key contributions include developing authentication protocols for WSNs, optimizing resource placement in fault-tolerant networks, and integrating security frameworks into military IoT infrastructure. His work often combines theoretical analysis with simulation-based validation, addressing challenges in both civilian and defense-oriented network systems. Notable publications span topics such as secured sensor domains, hypercube network reconfiguration, and reliability solutions for MIoT. His interdisciplinary approach bridges computer science, electrical engineering, and cybersecurity to address real-world operational challenges.

• Natural Language Processing
• Text Mining
• Pattern Recognition
• +۶ مورد دیگر

Tomasz Walkowiak is a researcher at the Department of Artificial Intelligence within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. He holds a PhD and is actively contributing to research in natural language processing, text mining, and system dependability. Research Interests: Natural Language Processing (NLP) Text Mining and Stylometric Analysis Pattern Recognition Dependability and Reliability of Web and Cloud Systems Language Modeling and Deep Learning Infrastructure AI System Integration and Orchestration His recent work focuses on the deployment and evaluation of large language models, stability of text-to-text models, and infrastructure for NLP applications. The publications reflect a strong trend toward practical AI systems, model performance, and linguistic analysis, particularly in the Polish language context. Scientific Contributions: Active contributor to international conferences such as DepCoS-RELCOMEX and ICAISC Published in Springer's Lecture Notes in Computer Science and Advances in Intelligent Systems and Computing Research appears in journals like International Journal of Electronics and Telecommunications and Cognitive Studies Tomasz Walkowiak advises several researchers and students, including Bartosz Walkowiak, Norbert Ropiak, and Weronika Świerczyńska-Głownia, indicating a supervisory or mentoring role in AI and NLP projects. He is involved in building scalable and dependable NLP infrastructures. No formal scientific awards are listed in the provided material. Laboratories and Research Environment: He is affiliated with research groups focused on artificial intelligence and dependable computing systems, likely participating in labs involved in NLP, cloud computing, and system reliability at Wrocław University of Science and Technology.

• Data Management
• Big Data Processing
• Distributed Systems
• +۷ مورد دیگر

Artur Wilczek, PhD, is a researcher in the Department of Applied Informatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work focuses on data engineering, distributed systems, and modern data management technologies. His research interests include Big Data Processing , Data Warehousing , Stream Processing , Map-Reduce , RESTful Services , and Flash Memory Storage . These areas reflect a strong engagement with scalable and efficient data systems, particularly in distributed and real-time environments. The analysis of his publications reveals a consistent focus on data-intensive systems, including performance evaluation of database technologies, agile and flexible data warehouse design (e.g., Data Vault), and implementation of stream-based monitoring solutions. His work bridges theoretical algorithm design and practical system deployment, especially in public sector and mobile computing contexts. While no formal awards are listed, his contributions to peer-reviewed journals and conference proceedings in computer science and information systems demonstrate active scholarly engagement. Artur Wilczek has collaborated with researchers such as Maciej Penar, Adrian Najczuk, and Karol Woźniak. Although no advisees are mentioned, his technical publications suggest a role in guiding or contributing to applied research projects. No specific grants or funding sources are referenced in the provided text. No associated laboratories, research teams, or centers are explicitly mentioned in the available information.

Marek Wodaمشاهده پروفایل

مدرس

• IT Security
• Cloud Computing
• E-Learning
• +۴ مورد دیگر

Marek Woda, PhD, is an academic staff member at the Department of Computer Engineering within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His work bridges practical and theoretical aspects of modern computing systems, with a focus on cloud infrastructure, security, and e-learning technologies. His research interests include IT Security , Cloud Computing , E-Learning , Parallel Computing , Web Application Performance , Resource Allocation , and Heterogeneous Systems . These domains reflect both academic rigor and real-world applicability, particularly in scalable and secure computing environments. The recent publications highlight a consistent focus on optimizing cloud-based systems, analyzing performance trade-offs, and leveraging modern hardware architectures. Trends show a strong emphasis on cost-effectiveness in IaaS, responsiveness in SaaS applications, and innovative use of web browsers as platforms for high-performance computing. Marek Woda has not been listed with any scientific awards in the available text. He has collaborated on research projects resulting in peer-reviewed publications but no information is available regarding graduate student supervision or external research grants. His work is closely tied to the research activities of the Department of Computer Engineering, particularly in areas related to dependable and complex computer systems, as evidenced by frequent contributions to the international DepCoS-RELCOMEX conference series.