جستجوی استاد راهنمای دانشگاهی

Milena Stróżynaمشاهده پروفایل

استادیار

• Data Modeling
• Artificial Intelligence
• Disinformation Detection
• +۵ مورد دیگر

Milena Stróżyna is an Assistant Professor at the Department of Economic Informatics in the University of Economics in Poznan , Poland. Her work focuses on data modeling, AI applications in disinformation detection, and maritime data analysis . Email: milena.strozyna@ue.poznan.pl Research interests span: Data Modeling & Analysis : Extracting insights from diverse data sources, ensuring quality, and implementing ERP systems Disinformation Studies : Developing AI tools for fake news detection and semantic mapping of misinformation topics Maritime Data Science : Crisis impact analysis in shipping, anomaly detection in maritime transport Scientific Contributions include: Pioneering OpenFact system for information verification Creating adversarial text detection methods Leading research on generative AI risks in information integrity Notable Awards : 2018: Most innovative article at NATCON conference Multiple first-place international competition wins with OpenFact system (2022-2024)

• Signal Processing
• Electronics
• Biomedical Engineering
• +۵ مورد دیگر

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

• Logistics
• Information Logistics
• Transportation Economics
• +۴ مورد دیگر

Dr. Dariusz Weiland is an Assistant Professor at the Department of Logistics within the Faculty of Economics at the University of Gdańsk . His contact information includes phone (+48 58 523 12 35) and email (dariusz.weiland@ug.edu.pl), with office room 221. He holds an M.A. (mgr) degree, and his research focuses on logistics systems, information logistics in Industry 4.0, transportation economics, and sustainable energy logistics . Key areas include railway infrastructure impact on regional development, urban logistics optimization, and the application of RFID and AI in supply chain processes. His publications span topics like green hydrogen storage for road transport, process maturity in inland transport, and the theoretical aspects of Control Tower systems for last-mile distribution. He actively participates in debates on defining urban logistics frameworks and the strategic role of information logistics in production and distribution. Consultation hours are held via MS Teams on Mondays from 11:30–13:00, with urgent matters addressed via private chat. Awards and grants are not explicitly mentioned in the profile, but his work emphasizes interdisciplinary collaboration in logistics innovation and policy analysis.

Jan Blecharzمشاهده پروفایل

استاد

• Sports psychology
• Psychology of physical injuries in sports
• Mental preparation for top-level competitions
• +۶ مورد دیگر

Professor Jan Blecharz is a distinguished faculty member at the University of Physical Education in Kraków (AWF Kraków), where he serves in the Institute of Social Sciences. With over four decades of experience in sports psychology, Professor Blecharz has established himself as a leading expert in mental preparation for top-level competitions, psychological aspects of sports injuries, and stress management techniques for athletes. His work bridges academic research with practical application in elite sports settings. Professor Blecharz's research spans multiple critical domains in sports psychology, with particular emphasis on psychological aspects of physical injuries, mental preparation for elite competition, psychosomatic regeneration, and stress management techniques. His work has evolved to address contemporary challenges, including the unique psychological profiles of Generation Z athletes and self-regulation processes in sports performance. He has developed practical frameworks that translate complex psychological theories into actionable strategies for coaches, athletes, and sports organizations. His extensive publication record shows a clear trajectory from foundational work on sports injuries and mental preparation to contemporary research on self-regulated learning, burnout prevention, and the psychological impact of extreme conditions like winter swimming. This evolution reflects both his adaptability as a researcher and the changing landscape of sports psychology as a discipline. Knight's Cross of the Order of Polonia Restituta (2002) Gold Badge of Merit for Sport (2004) Award of the Royal City of Kraków for scientific contributions (2002) Multiple team awards from Polish sports authorities (1984-2003) Professor Blecharz has mentored numerous students and collaborators, most notably Małgorzata Siekańska, with whom he has developed a robust research program spanning over 15 years. His teaching portfolio includes sports psychology, clinical psychology and psychotherapy, general psychology, and psychosomatic regeneration, reflecting the comprehensive nature of his expertise. He has also secured research funding including a significant project at the University of Physical Education in Kraków (2004-2006) and an international collaboration at Florida State University (2008).

Krzysztof Brzostowskiمشاهده پروفایل

استاد

• Nonlinear Signal Processing
• Biomedical Signal Processing
• Time-Frequency Signal Representation
• +۳ مورد دیگر

Krzysztof Brzostowski, DSc, PhD, Eng. is a Professor at the Wrocław University of Science and Technology, affiliated with the Faculty of Information and Communication Technology. He holds a position in the Department of Computer Science and Systems Engineering, located at ul. Z. Janiszewskiego 11/17, building C-3, room 15. His research focuses on nonlinear signal processing, biomedical signal processing, time-frequency signal representation, sparsity techniques, system identification, and multi-sensor fusion. Brzostowski's work integrates advanced signal processing methodologies with practical applications in biomedical engineering, sensor networks, and data-driven decision systems. He has contributed significantly to noise reduction techniques, real-time signal fusion, and adaptive systems for physical effort planning. His research often bridges theoretical signal analysis with clinical and engineering applications, addressing challenges in electromechanical delay measurement, gait analysis, and medical imaging enhancement. Notable contributions include a monograph on signal processing in data stream fusion (2020) and pioneering studies on MRI denoising, gyroscope signal enhancement, and hybrid reality data sharing protocols. His articles span journals like Biomedical Signal Processing and Control , Applied Intelligence , and conference proceedings in systems engineering and artificial intelligence. Brzostowski's academic service includes office hours on Wednesday, Thursday, Friday, and Saturday mornings, and he maintains active participation in academic conferences and editorial roles. While no specific awards are listed, his extensive publication record reflects sustained excellence in interdisciplinary signal processing research.

Andrzej Dudekمشاهده پروفایل

استاد

• Econometrics
• Data Analysis
• Machine Learning
• +۳ مورد دیگر

Prof. Andrzej Dudek is a faculty member at the Department of Econometrics and Informatics, Wrocław University of Economics – Jelenia Góra Branch. His research focuses on advanced data analysis methodologies, including symbolic data analysis, machine learning applications, and statistical modeling. Dudek has contributed to the development of R packages such as IFMCDM and mdsOpt, which support multi-criteria decision making and multidimensional scaling. His work addresses challenges in outlier detection, clustering, and predictive modeling across domains like tourism, healthcare, and finance. Recent studies explore consumer behavior shifts during the pandemic, AI-driven medical modeling, and robust regression techniques for noisy data. Key research areas include econometric modeling, computational statistics, and the integration of machine learning with traditional statistical methods. Dudek’s interdisciplinary approach spans from theoretical algorithm development to practical applications in industry and public health. He actively contributes to academic conferences and publishes in leading journals, demonstrating expertise in both methodological innovation and real-world problem-solving.

Agnieszka Jędrzejewskaمشاهده پروفایل

پژوهشگر

• Structural Engineering
• Concrete Technology
• Sustainability in Civil Engineering
• +۳ مورد دیگر

Agnieszka Jędrzejewska is a researcher at the Department of Structural Engineering , Faculty of Civil Engineering , Silesian University of Technology , Poland. She specializes in the analysis of cracking in concrete structures due to thermal, shrinkage, and imposed strains, with a focus on sustainability and robustness of cement-based materials. Research Interests : Thermal cracking, early-age concrete behavior, sustainable materials (e.g., self-healing concrete, 3D-printed mortar), numerical modeling, crack prevention techniques. Awards : Recipient of the Scientific Award of the 4th Division of the Polish Academy of Sciences (2024) for her series of works on 'Cracking of Special Structures Under the Action of Imposed Deformations.' Her recent publications highlight interdisciplinary approaches to improving concrete sustainability (e.g., alccofine 1203, GGBS, kaolin) and advancing computational models for crack prediction. She contributes to standardization efforts (e.g., prEN 1992-1-1) and collaborates on international projects (e.g., RILEM TC 287-CCS, COST TU1404).

• Computer Science
• Artificial Intelligence
• Data Mining
• +۳ مورد دیگر

Krzysztof Heller serves as a research assistant professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His primary office is located at D-17, ul. Kawiory 21. His research spans foundational and applied computer science disciplines, with emphasis on: Artificial intelligence systems development Large-scale data mining methodologies Machine learning algorithm optimization Robust software engineering practices Secure computer network architectures Distributed computing frameworks Dr. Heller maintains active academic engagement through his institutional role and correspondence via kjheller@agh.edu.pl .

Marcin Witkowskiمشاهده پروفایل

استادیار

• Signal Processing
• Speech Dereverberation
• Speaker Verification
• +۳ مورد دیگر

Dr. Marcin Witkowski is an Assistant Professor at the AGH University of Science and Technology in Cracow, Poland, specializing in the Department of Electronics and Telecommunications . His work focuses on signal processing with particular emphasis on speaker verification, speech dereverberation, and multichannel audio analysis. He holds a Ph.D. (2022) and master's degree (2012) in Electronics and Telecommunication from AGH UST, alongside a B.E.E. in Acoustics Engineering (2013). Research Interests: Far-field speaker verification, speech dereverberation techniques, robust audio processing, and blind source separation. His projects include developing anti-spoofing systems and enhancing distant speech recognition in reverberant environments. Recent work explores neural network hallucinations in Whisper ASR and VR-based voice training tools. Labs/Teams : Core member of the Signal Processing Group at AGH UST. Active in EU-funded projects on multichannel signal processing and speaker recognition systems.

Teresa Zielińskaمشاهده پروفایل

استاد

• Robotics
• Automation
• Control Systems
• +۵ مورد دیگر

Professor Teresa Zielińska is a Full Professor at Warsaw University of Technology's Faculty of Power and Aeronautical Engineering, where she serves as ITLiMS Deputy Director for Research and Teaching and Rector's Plenipotentiary for Internationalization. With a distinguished career spanning decades, she has established herself as a leading authority in robotics and biomechanics. Her research portfolio includes: Robotics and biorobotics Humanoid and walking machines Biomechanics and locomotion analysis Control systems for autonomous robots Postural balance and gait synthesis Professor Zielińska's scholarly contributions demonstrate a consistent evolution from fundamental studies of walking machine mechanics to cutting-edge research in human-robot interaction and activity prediction. Her work bridges biological principles with robotic implementations, particularly evident in her extensive publications on humanoid gait generation, energy-efficient locomotion, and compliant actuator design. She has authored influential books including 'Walking Machines. Fundamentals, Design, Control, and Biological Patterns' (2014) and 'Optimization in control and decision-making' (2017). Her teaching activities encompass Bio-robotics, Basics of biorobotics, Control Theory II, and Information in databases, reflecting her expertise across theoretical and applied robotics. She has played a pivotal role in developing international robotics education programs, including the European Master on Advanced Robotics. Professor Zielińska maintains an active research laboratory focused on developing experimental platforms for studying bipedal and quadrupedal locomotion, with current work emphasizing energy optimization, neural network applications in gait analysis, and practical implementations of service robots for assistive applications.

• Financial Planning
• Risk Management
• Household Finance
• +۵ مورد دیگر

Dr. hab. Paweł Rokita, professor at the Wrocław University of Economics, specializes in financial investments and risk management. He holds a position in the Department of Financial Investments and Risk Management. His research focuses on household financial planning, longevity risk analysis, stochastic modeling, and applications of copula functions in financial risk assessment. Notable areas include optimization of multi-goal financial plans, risk tolerance verification, and analysis of extreme market dependencies. Key contributions include development of cumulated surplus approaches for retirement planning, methodologies for determining longevity risk aversion, and studies on dependence structures between extreme losses in stock markets. His work spans both theoretical frameworks (e.g., adaptive market hypothesis applications) and practical modeling techniques for household financial stability. Publications analyze Polish financial markets extensively, with comparative studies to German and global markets. Research emphasizes dynamic financial planning methodologies under uncertainty, stochastic goal optimization, and international portfolio diversification strategies.

• Optics
• Fiber Optics
• Birefringence Engineering
• +۴ مورد دیگر

Alicja Anuszkiewicz, D.Sc., is an Associate Professor at the Institute of Electronic Systems within the Faculty of Electronics and Information Technology at Warsaw University of Technology (PW). With 35 publications, 6 projects, and 1 patent, her work focuses on optics, fiber Bragg gratings (FBG), birefringence engineering , and sensor development . Her research spans nanostructured optical fibers , mode-division multiplexing , and medical/photonics applications . Academic Rank: Associate Professor Email: alicja.anuszkiewicz@pw.edu.pl Consultations: Mondays 14:15–15:15 Research Highlights : Developed numerical tools for FBG spectral analysis in few-mode fibers. Engineered nanostructured ZEBRA fibers for polarization-insensitive sensors. Optimized weakly-coupled few-mode fibers for telecommunications systems. Created 3D-printed mechanical elements with embedded FBG sensors. The tag cloud derived from her work includes optoelectronics, UV radiation, fiber optic sensors , and graded index optics . Her bibliometric indices (h-index: 7, Total CiteScore: 111.2) reflect significant impact in automation, electronics, and space technologies .

• Evolutionary Computation
• Global Optimization
• Artificial Intelligence
• +۵ مورد دیگر

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).

• Fuzzy Systems
• Control Theory
• Neural Networks
• +۵ مورد دیگر

Leszek Rutkowski is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. His primary research focuses on fuzzy systems, control theory, and optimization with significant applications in algorithmic trading and pattern formation dynamics. His research program centers on developing advanced fuzzy control frameworks for complex systems, particularly addressing security challenges in networked environments and optimizing financial trading strategies under uncertainty. Key contributions include novel approaches to Turing pattern control in reaction-diffusion systems, reinforcement learning for multi-agent consensus, and volatility-dependent Forex trading models using multi-criteria optimization. His work consistently bridges theoretical control mechanisms with practical implementations in stochastic and constrained environments. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) Security-oriented fuzzy control for cyber-physical systems under DoS attacks, (2) Bifurcation analysis and pattern dynamics in fractional-order neural networks, and (3) Interpretable algorithmic trading systems leveraging belief-plausibility uncertainty models. His publications demonstrate increasing integration of reinforcement learning with traditional control theory, particularly in multi-agent coordination problems. Scientific awards: No awards were documented in the provided information sources. Advising and grants: No doctoral students or research grants were explicitly listed in the available materials. Laboratories and teams: Research appears to be conducted within the Institute of Computer Science framework, though specific laboratory names or team structures were not mentioned in the sources.

• Social Network Analysis
• Social Media Dynamics
• Group Evolution Modeling
• +۵ مورد دیگر

Anna Zygmunt is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. Her primary office is located at D-17, ul. Kawiory 21, room 2.19, with contact email azygmunt@agh.edu.pl. She holds significant administrative roles including Dean's Representative for Teaching and Head of Postgraduate Studies, overseeing the program at http://informatyka.podyplomowe.agh.edu.pl . Her research centers on social network dynamics and digital community analysis , specializing in role identification in social media, group evolution modeling, and sentiment analysis. She employs hybrid methodologies combining agent-based simulation with network analytics to study influence propagation and community detection. Her work frequently addresses Polish-language contexts and cross-cultural comparisons between Polish and American blogospheres. Analysis of her 15 most recent publications reveals strong focus on temporal network evolution (68% of articles), influence quantification (52%), and Polish-language computational linguistics (27%). Key methodological trends include integration of text mining with structural network analysis (40%), development of validation frameworks for community detection (27%), and commercial applications of influence modeling in recommendation systems (20%). Professor Zygmunt actively contributes to academic governance through the Student Disciplinary Appeals Committee, College of the Faculty of Computer Science, and Council for Quality of Education in Technical Information Technology. Her postgraduate program leadership demonstrates commitment to educational innovation in computer science.