جستجوی استاد راهنمای دانشگاهی

Julian Szymańskiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Natural Language Processing
• Blockchain Technology
• +۷ مورد دیگر

Dr. hab. inż. Julian Szymański serves as Associate Professor at the Department of Computer Architecture within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. He concurrently holds the position of Deputy Director at the Industrial Doctoral School, demonstrating dual leadership in academic instruction and doctoral program administration. His research spans artificial intelligence applications across diverse domains including sustainable agriculture, healthcare monitoring, and privacy-preserving systems. Key focus areas include natural language processing, blockchain implementation for sensitive data services, and multi-modal signal analysis. His work bridges theoretical computer science with practical applications in agritech, medical diagnostics, and secure service provision. Recent publications reveal a strong trend toward interdisciplinary AI solutions, particularly in sustainability (2025 smart farming chapter), human-AI alignment techniques, and privacy frameworks compliant with GDPR. His respiratory rhythm classification research demonstrates methodological rigor through multi-sensor data fusion. Academic contributions include: ERASMUS+ funded Modena MoltiMondi project as project manager Development of EditPrefs methodology for cost-effective preference dataset creation Gold-standard multi-genre datasets for entity linking evaluation As an educator, he has taught 185 courses since 2018 across artificial intelligence, deep learning, and intelligent information systems, mentoring students through diploma projects. His laboratory work focuses on IoT-based healthcare frameworks and blockchain implementations for privacy-sensitive services, with current projects exploring AI-driven sustainability solutions.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Marcin Sawiński is a Researcher and Teaching Assistant at the Department of Information Systems within the Institute of Informatics and Quantitative Economics at Poznań University of Economics and Business. With expertise spanning computer and information sciences (75%) and management and quality studies (25%), his work focuses on developing AI tools for addressing misinformation and enhancing fact-checking processes. His primary research interests include: Artificial Intelligence applications for fake news detection Natural Language Processing techniques for misinformation analysis Machine learning approaches to credibility assessment Persuasion techniques detection in social media content Development of robust language models for fact-checking systems Analysis of political narratives during crisis events like pandemics Dr. Sawiński's recent publications (2023-2025) demonstrate a concentrated research trajectory focused on applying transformer-based models to misinformation challenges, particularly in Slavic languages. His work spans multiple dimensions of the fake news problem, from detection of persuasion techniques to cross-lingual transfer learning for check-worthiness assessment. He has been actively involved in international competitions like CheckThat! Lab at CLEF, where his team (OpenFact) has developed innovative approaches to fact-checking challenges, including adversarial text generation to test model robustness. His scientific contributions include 15 publications with over 50 citations, reflecting his growing impact in the field of AI for misinformation detection. His research often involves collaboration with colleagues including Krzysztof Węcel, Witold Abramowicz, and Ewelina Księżniak.

• Linguistics
• Applied Linguistics
• Russian Language Teaching
• +۵ مورد دیگر

Dr. Katarzyna Wądołowska-Lesner serves as Senior Lecturer at the Institute of Russian and Eastern Studies within the Faculty of Languages at the University of Gdańsk, concurrently holding the position of Deputy Director for Education at the Institute. Her academic career centers on advancing Russian language pedagogy through empirical research on textual comprehension and didactic methodologies. Her educational foundation includes a Master's degree in Russian Philology (2004) and a PhD in Humanities specializing in Linguistics (2013), both earned at the University of Gdańsk. These qualifications underpin her expertise in Slavic linguistics and language education. Wądołowska-Lesner's research focuses on quantifiable aspects of text readability, particularly examining compositional-graphic elements, paragraph structure, and linguistic difficulty metrics in Russian didactic materials. Her work investigates multimedia applications in vocabulary acquisition, silent versus aloud reading comprehension, and cross-linguistic challenges for Polish learners of Russian. This research bridges theoretical linguistics with practical classroom applications, emphasizing empirical validation of teaching strategies. Analysis of her 15 most recent publications reveals a consistent trajectory in text readability research, evolving from foundational studies on paragraph usage (2012) and multimedia tools (2011) toward sophisticated difficulty measurement formulas (2010) and business Russian applications (2008). Her scholarship demonstrates methodological rigor through student-based empirical studies while maintaining strong relevance to Slavic language education curricula. As an active member of the Polish Neophilological Society and the Polish Association of Teachers and Lecturers of the Russian Language, she contributes to national academic discourse. Her service as Deputy Director for Education at the Institute of Russian and Eastern Studies reflects institutional recognition of her administrative capabilities alongside scholarly contributions. While specific grant details are unreported, her sustained publication record indicates consistent research activity within the University of Gdańsk's academic framework.