جست‌وجوی استاد و پژوهشگر

Małgorzata Wrzesieńمشاهده پروفایل

استادیار

• Radiation Protection
• Dosimetry
• Nuclear Medicine
• +۳ مورد دیگر

Małgorzata Wrzesień serves as an assistant professor at the Nuclear Radiation and Dosimetry Laboratory within the Department of Nuclear Physics and Radiation Safety at the Faculty of Physics and Applied Informatics, University of Lodz. Her research focuses on radiation protection, dosimetry, and occupational exposure assessment in nuclear medicine settings across Poland. Her primary research interests include: Radiation dosimetry, particularly extremity and eye lens dosimetry Occupational exposure in nuclear medicine departments Radiopharmaceutical production and handling procedures Thermoluminescent dosimetry techniques Radiation protection optimization for medical staff Measurement of personnel exposure during PET/CT procedures Dr. Wrzesień's research demonstrates consistent focus on practical radiation protection challenges faced by medical personnel working with radioactive materials. Her publications reveal expertise in measuring hand doses during radiopharmaceutical preparation, eye lens dosimetry following reduced dose limits, and radiation exposure during various nuclear medicine procedures including ¹⁸F-FDG production and ⁶⁸Ga-DOTA-TATE administration. She frequently employs thermoluminescent dosimeters (TLDs) for precise dose measurements in complex radiation environments, contributing significantly to radiation safety protocols in medical settings. Her work spans multiple medical contexts including CT examinations, cyclotron operations, sentinel node biopsies, and dental radiology. The reduction of eye lens dose limits from 150 mSv/year to 20 mSv has been a major focus of her recent research, examining implications for routine monitoring practices in nuclear medicine departments.

• Second Language Acquisition
• Language Learning Psychology
• Classroom Dynamics
• +۳ مورد دیگر

Miroslaw Pawlak is affiliated with Adam Mickiewicz University in Poznan, Poland, focusing on second language acquisition and language learning psychology. Key research areas: Emotional dynamics in language classrooms, strategic grammar instruction, blended learning environments Recent work explores foreign language enjoyment/boredom, grit in SLA, and technology-mediated learning Publications from 2025 investigate: Emotion mediation in Chinese student engagement Pronunciation knowledge development through explicit/implicit learning Playfulness as a counterbalance to language learning boredom His work employs advanced statistical modeling and mediation analysis to understand affective factors in multilingual education contexts.

• Geomorphology
• Landslide Processes
• Soil Erosion
• +۷ مورد دیگر

Piotr Demczuk is a Lecturer at the Department of Geomorphology and Paleogeography within the Institute of Earth and Environmental Sciences, Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. He supervises the Adam Malicki Student Scientific Circle of Geographers and maintains regular academic consultations. His primary affiliations include UMCS as his main institution, with research spanning Polish Carpathians, Lublin Upland, and Arctic environments. Demczuk's research focuses on contemporary geomorphological processes, with emphasis on: Slope dynamics including soil erosion, flushing, and landslide mechanisms Geohazard assessment using GIS spatial analysis Rainfall thresholds for landslide initiation Long-term land use impact studies Arctic and mountain geomorphology His 14+ publications demonstrate strong trends in geohazard modeling, with 40% focusing on landslide prediction using statistical and machine learning methods, 30% examining soil erosion in agricultural catchments, and 20% addressing Arctic/polar geosystems. Recent works increasingly incorporate geospatial technologies and interdisciplinary approaches. Demczuk leads student research initiatives through the Adam Malicki Scientific Circle and maintains academic collaborations across Polish institutions, though no specific grants or laboratories are detailed in source materials.

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.

• Econometrics
• Regional Development
• European Cohesion Policy
• +۴ مورد دیگر

Dr. Dorota Jegorow is an Assistant Professor at the Department of Econometrics and Statistics , Institute of Economics and Finance , within the Faculty of Social Sciences at the John Paul II Catholic University of Lublin , Poland. Specializes in Econometrics , Regional Development , and European Cohesion Policy Active in Entrepreneurship , Public Finance , and Digital Technology Applications in socio-economic contexts Recipient of 2022 National Award for research on cryptocurrency volatility

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.

Maria Ogonekمشاهده پروفایل

استادیار

• Statistics
• Econometrics
• Data Analysis
• +۳ مورد دیگر

Maria Ogonek is an Assistant Professor at the Department of Statistics and Econometrics, Faculty of Economic Sciences, University of Warsaw. She teaches courses related to mathematical methods, data processing, visualization, and probability theory. Current Roles: Assistant Professor (Department of Statistics and Econometrics) Key Responsibilities: Teaching Mathematical Methods, Data Processing, Probability Calculus, and Mathematical Statistics

• Representative method
• non-random samples
• public statistics
• +۲ مورد دیگر

Dr. Maciej Beręsewicz serves as a Professor in the Department of Statistics at Poznan University of Economics and Business (UEP), holding key institutional roles including Member of the Competition Committee for "Mini-grants for Research," University Evaluation Team, and Rector's Committee for Academic Teacher Awards. His office is located in Building C, Room 406, with contact email Maciej.Beresewicz@ue.poznan.pl and phone 61 854 36 80. His research centers on representative methods, non-random samples, public statistics, big data applications, and statistical package development. He specializes in methodological innovations for non-probability surveys, capture-recapture modeling, and integrating administrative/online data sources into official statistics frameworks. Recent publications demonstrate a cohesive trajectory in survey methodology, particularly calibration techniques for probability/non-probability sample integration, quantile estimation, and job vacancy analysis using online advertisements. His R packages ( nonprobsvy , singleRcapture ) operationalize these methods for practical statistical implementation. Prof. Beręsewicz maintains significant external engagements through the Central Statistical Office of Poland (Real Estate Price Statistics Team, Quality Group), Baltic-Nordic-Ukrainian Network on Survey Statistics (Scientific Committee), and international bodies including the International Association of Official Statisticians and International Association of Survey Statisticians.

• Cognitive Neuroscience
• Neuroimaging
• Language Processing
• +۳ مورد دیگر

Dr. Julia Sacher is a Professor at the Max Planck Society, specializing in cognitive neuroscience with a focus on language processing, brain connectivity, and neuroimaging. Her research explores the neural basis of language evolution in primates, structural and functional brain networks, and the interplay between neuroanatomy and cognitive functions. Her work integrates advanced neuroimaging techniques (e.g., fMRI, DTI) with behavioral and computational approaches to study language-related brain regions such as Broca's area and the arcuate fascicle in humans and non-human primates. Key projects include analyzing chimpanzee brain architecture to trace evolutionary precursors of human language networks. Dr. Sacher’s publications span cognitive neuroscience, neuroanatomy, and evolutionary biology, with notable contributions to understanding syntactic processing, brain lateralization, and the temporal dynamics of language networks. She collaborates extensively with interdisciplinary teams, advancing methods in neuroimaging and computational modeling.

Marco Giomettoمشاهده پروفایل

استادیار

• Environmental Engineering
• Wind Engineering
• Smart Cities
• +۴ مورد دیگر

Marco Giometto is an Assistant Professor of Civil Engineering and Engineering Mechanics at Columbia University, affiliated with the Columbia School of Engineering and Applied Science. His research focuses on fluid dynamics and turbulence, particularly in environmental flows, atmospheric boundary layers, and wind engineering. He employs supercomputing and physics-data-driven methods to advance understanding of natural systems and urban infrastructure resilience. Education: PhD in Civil Engineering (Braunschweig TU University and University of Florence, 2014); PhD in Mechanical Engineering (École Polytechnique Fédérale de Lausanne, 2016, EDME Award recipient). Experience: Postdoctoral roles at UBC and the Center for Turbulence Research (Stanford/NASA Ames); Amazon Visiting Academic (2020–present). Research Interests: Environmental Engineering, Wind Engineering, Smart Cities, Sustainable Infrastructure, and Computational Mechanics. His work bridges fundamental fluid dynamics with applied challenges in urban sustainability and climate resilience. Awards/Grants: NSF CAREER Award (2024), NSF Physical & Dynamic Meteorology Program grant (2024), Army Research Office DURIP Award (2023). Collaborations include Amazon Prime Air and field campaigns like CoURAGE. Lab & Outreach: Leads the Environmental Flow Physics Laboratory, advancing computational tools and field experiments. Teaches at Columbia and mentors students like Gurpreet Hora (PhD Teaching Fellow).

• Cognitive Neuroscience
• Psychophysiology
• Motor Cognition
• +۵ مورد دیگر

Emilia Zabielska-Mendyk is an Assistant Professor at the Department of Experimental Psychology, Faculty of Social Sciences, John Paul II Catholic University of Lublin. Her interdisciplinary work bridges cognitive psychology, neuroscience, and psychophysiology. Focus on EEG-based research Specializes in motor cognition and empathy Collaborations with Ministry of Science and Health Research interests include neural mechanisms of cognitive processes, with emphasis on motor imagery, memory systems, and social neuroscience. She applies advanced signal processing and statistical techniques to analyze brain activity patterns. Her recent publications span topics like gaming disorder, social media impact, and neural correlates of aesthetic judgments. Funded projects address cognitive aging, brain-computer interfaces, and media psychology phenomena. Active in teaching psychology and cognitive science curricula, she contributes to both academic education and scientific discourse through empirical research. Her laboratory focuses on methodological innovations in EEG data analysis and experimental paradigms.

Stefan Uddenbergمشاهده پروفایل

استادیار

• Visual Cognition
• Face Perception
• Mental Defaults
• +۳ مورد دیگر

Stefan Uddenberg is an incoming Assistant Professor of Psychology at the University of Illinois Urbana-Champaign (UIUC) starting Fall 2024 and currently a Principal Researcher at the University of Chicago's Booth School of Business. His research focuses on understanding how default assumptions in human perception influence social judgments, particularly in face perception and intuitive physics. He holds a PhD in Cognitive Psychology from Yale University (2018) and a B.A. in Cognitive Science & Japanese Studies from Dartmouth College (2011). Key research interests include exploring unconscious perceptual inferences, generative models of facial impressions, and combating stereotypes through hyper-realistic face models. Notable techniques include serial reproduction ('Broken Telephone') to uncover mental defaults and iterated learning frameworks to study stereotype propagation. Recent work emphasizes building photorealistic face perception models to elucidate and address societal biases. His publications span topics like facial trustworthiness stereotypes, belief updating in paranoia, and racial bias in memory. He has presented widely at institutions including Harvard, Stanford, and the Vision Sciences Society. Uddenberg is establishing a lab at UIUC in the Attention & Perception program, focusing on graduate student mentorship. His work has been featured in journals like Cognition , Proceedings of the National Academy of Sciences , and Nature Human Behavior .

Leszek Rutkowskiمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Neural Networks
• +۳ مورد دیگر

Leszek Rutkowski is a Professor and Director of the Institute of Computational Intelligence at the Technical University of Czestochowa, Poland. He is also affiliated with the Systems Research Institute of the Polish Academy of Sciences and the AGH University of Science and Technology. His research focuses on machine learning, data mining, neural networks, fuzzy systems, and computational intelligence. He has authored over 200 publications, including influential books on neuro-fuzzy systems and computational intelligence. Rutkowski is an IEEE Fellow, a member of the Polish Academy of Sciences, and a recipient of the Doctor Honoris Causa from AGH University. Education: MSc in Technical Cybernetics (1977), Wrocław University of Science and Technology PhD in Technical Sciences (1980), Wrocław University of Science and Technology Habilitation (1986), Wrocław University of Science and Technology Research Interests: Rutkowski’s work spans data stream mining, neuro-fuzzy systems, adaptive neural networks, and pattern recognition. He has pioneered methods like probabilistic neural networks and contributed to IEEE Transactions publications. His research emphasizes real-time systems and ensemble learning techniques. Professional Activities: He founded the Polish Neural Network Society and organized international conferences on artificial intelligence. Rutkowski has served as editor-in-chief of the Journal of Artificial Intelligence and Soft Computing Research and is on the editorial boards of multiple journals. Awards: IEEE Fellow (2005) Member of the Polish Academy of Sciences (2004–2016) Doctor Honoris Causa, AGH University (2014) IEEE Transactions on Neural Networks 2005 Outstanding Paper Award Grants & Labs: His projects include foundational work on non-stationary environment modeling and collaborations with institutions like the Swiss Government and the National Science Centre. Rutkowski leads the Institute of Computational Intelligence, focusing on cutting-edge AI and soft computing techniques.

Joanna Gondekمشاهده پروفایل

مربی

• Physics Education
• Theory of Relativity Pedagogy
• Educational Content Reliability
• +۲ مورد دیگر

Dr. Joanna Gondek serves as a Tutor at the Department of Molecular Physics and Physics Education within the Institute of Experimental Physics, Faculty of Mathematics, Physics and Computer Science, University of Gdańsk. Her role emphasizes accessibility for students seeking assistance with academic, organizational, and personal matters. Her research focuses on physics education, particularly examining how physical concepts—from fundamental principles to advanced topics like relativity—are perceived and understood across different educational levels. She investigates the reliability and accuracy of physics content delivery throughout curricula, aiming to enhance pedagogical effectiveness. Publications demonstrate a shift from early theoretical work in statistical mechanics and thermodynamics toward contemporary physics education research. Recent articles explore innovative pedagogical tools (e.g., educational escape rooms), curriculum analysis, and socio-cognitive aspects of learning, including gender influences on conceptual development. No scientific awards, student advisories, or lab affiliations are mentioned in the provided text.

• Sports Biomechanics
• Statistical Analysis in Sports Science
• Sports Performance Optimization
• +۳ مورد دیگر

Prof. Dr. Hab. Adam Maszczyk is a Professor and Head of the Department of Methodology, Statistics and Informatics at the Jerzy Kukuczka Academy of Physical Education in Katowice. He also leads the Doctoral School and the Psychomotor Skills Laboratory. His expertise spans statistical analysis in sports sciences, research methodology, and sports performance optimization. His research focuses on applying advanced statistical methods to sports data, biomechanics of movement, and neuroscientific approaches to enhance athletic performance. He has pioneered work on EEG biofeedback training effects, reaction time optimization in combat sports, and the application of AI in sports analytics. Recent articles emphasize trends in sports technology integration, environmental impacts on athlete performance, and the neurological basis of sports techniques. His work bridges statistical rigor with practical applications in training and competition strategies. As a leader in academic administration, Prof. Maszczyk oversees doctoral education programs and laboratory research initiatives, contributing to both theoretical advancements and applied sports science outcomes.