Andrzej Majkowski is an Associate Professor at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering, Warsaw University of Technology. His career spans over two decades of research in biomedical engineering, focusing on brain-computer interfaces, signal processing, and emotion recognition. Active in both teaching and research, he contributes to advancing methodologies in electrophysiological signal analysis. Warsaw University of Technology Institute of the Theory of Electrical Engineering, Measurement and Information Systems Faculty of Electrical Engineering Specializing in biomedical engineering , Majkowski's research bridges control systems and information technologies with neuroscience applications. His work explores brain-computer interfaces , EEG/EMG signal processing , and emotion recognition using multimodal physiological data. Recent studies focus on deep learning architectures for artifact removal and classification tasks. Recent publications highlight trends in CNN-LSTM hybrid models for signal denoising, convolutional networks for seizure detection, and machine learning applications in visual evoked potential analysis. His work spans both clinical applications (epilepsy monitoring) and human-computer interaction (emotion recognition, sign language detection). With over 98 documented publications and significant bibliometric indicators (h-index 13 in Scopus), Majkowski has supervised 95 promoted theses. His research includes one funded project and collaborations in biomedical instrumentation, though specific award details remain unspecified in available records.
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Alina Landowskaمشاهده پروفایل
استادیار
Alina Landowska serves as Assistant Professor in the Department of Cultural Studies at the Faculty of Humanities, SWPS University of Social Sciences and Humanities in Warsaw. Her academic profile integrates cultural studies, computational linguistics, and ethics, with significant contributions to understanding moral foundations in digital discourse and technological futures. Her educational background includes degrees in Management and Economics from Gdańsk University of Technology and European Integration from the Pontifical University of John Paul II in Krakow, complemented by international scholarship experiences: SDG Academy (United Nations) Tantur Ecumenical Institute, Jerusalem (University of Notre Dame) Baltic University Program, Uppsala Swedish Institute of Environmental Research, Kalmar Royal Danish Student Fund, Copenhagen Landowska's research investigates cultural evolution through computational discourse analysis, focusing on morality-technology intersections. She pioneers text-mining methodologies to examine moral foundations in social media, anticipatory rhetoric in digital communication, and value-based management frameworks. Her work bridges humanities with data science, analyzing polarization mechanisms and proleptic cues in online environments while exploring cooperation ethics in business contexts. Recent publications demonstrate methodological innovation in mapping technological futures through sentiment/emotion analysis and moral-value detection systems. Her article corpus reveals consistent thematic threads: digital rhetoric analysis (particularly prolepsis functions), moral psychology applications in AI/social media, and cultural evolution studies linking cooperation theory with business ethics. This interdisciplinary approach positions her at the nexus of computational social science and humanistic inquiry. No scientific awards or prizes are documented in her current professional profile. As an educator, Landowska mentors students in discourse analysis methodologies and socio-economic media studies while serving as executive coach with EMCC Poland. Her research leadership extends to co-founding the Institute for Development think tank and representing Employers of Poland at the OECD's Business and Industry Advisory Committee (2016-2018). She previously held vice-presidential roles in the Polish Association of Businesswomen. Landowska maintains active research affiliations with the Humanistic Management Center (University of Lucerne), International Council for Small Business (George Washington University), and ArgDiaP association. Her 2022-2024 tenure with New Ethos Lab advanced dialogue studies in persuasion frameworks, complementing her current work on digital rhetoric's ethical dimensions.
Filip Sondejمشاهده پروفایل
پژوهشگر
Filip Sondej is a Researcher at the Department of Cognitive Science within the Faculty of Philosophy at Jagiellonian University in Krakow, Poland. His work bridges cognitive science and artificial intelligence, focusing on critical safety aspects of modern language models and multi-agent systems. His primary research interests include AI safety, LLM unlearning techniques, Chain-of-Thought faithfulness, AI conflict resolution, and digital sentience. Sondej's work addresses fundamental challenges in ensuring that increasingly powerful language models behave safely and align with human values. Analysis of Sondej's publication record reveals a strong interdisciplinary focus combining cognitive neuroscience methodologies with AI safety research. His recent work demonstrates a clear trajectory from traditional cognitive neuroscience investigations toward cutting-edge AI safety mechanisms, particularly in developing methods for removing unsafe behaviors from language models while maintaining functionality. The publications show sophisticated integration of neural network analysis with human cognitive processes. Sondej collaborates extensively with researchers including Anna Grabowska and Magdalena Senderecka, appearing as co-author on multiple publications in high-impact journals such as NeuroImage, Cerebral Cortex, and Journal of Cognitive Neuroscience. His research program bridges theoretical cognitive science with practical AI safety applications.
Roman Matuszewski is a retired Associate Professor at the University of Bialystok, affiliated with the Faculty of Philology's Department of Applied Linguistics. His research focuses on automated reasoning, formalized mathematics, and the Mizar Project, which he has been involved with since its inception in 1973. He holds a PhD in Computer Science from Shinshu University (2000) and has held academic positions at multiple institutions, including part-time roles at Bogdan Janski University. Education: PhD in Computer Science (2000), Master of Science in Mechanics (1975), Engineer (1973), all from Polish institutions. His work emphasizes formal proof systems, mathematical knowledge management, and education integration of automated reasoning tools. Research interests include automated deduction, formal proof verification, and the application of these methods to mathematics education. His contributions to the Mizar Mathematical Library and its 50-year history (celebrated in 2023) are foundational for interactive theorem proving. Key awards include the Silver Cross of Merit (2004) and multiple Rector’s prizes. He has organized major conferences like MKM2004 and served on program committees for events such as IJCAR and Tableaux. Grants include leadership roles in EU-funded projects like TYPES and CALCULEMUS. His work bridges computer science and mathematics through formalized systems, impacting both research and education.
Dorota Piekarczyk is a full Professor at the University of Marie Curie-Skłodowska (UMCS) in Lublin, Poland, affiliated with the Faculty of Languages, Literatures and Cultures. She has served since 2002 and held the position of Deputy Director at the Institute of Polish Philology from 2013-2019. Her research focuses on the intersections of language and cognition, particularly through semantic analysis , pragmatic frameworks , and linguistic worldview studies. She specializes in paratextual elements of publications, examining how covers, blurbs, and series information shape reader expectations and societal knowledge reception. The 2020 monograph on book covers represents her most comprehensive work on paratextual analysis. Her recent publications (2020-2019) investigate paratextual persuasion techniques popular culture integration in science communication publisher-reader dynamics while maintaining long-term contributions to floral categorization studies and cognitive schemata in texts. Scientific achievements include 2014 Prime Minister's Award for 'Metafory metatekstowe' ORCID: 0000-0002-8859-7897 648 total ministerial points across 12 publications
- Semantics
- Pragmatics
- Linguistic Worldview
- +۶ مورد دیگر
Milena Stróżynaمشاهده پروفایل
استادیار
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)
Konrad Kowalczyk is an Associate Professor at AGH University of Science and Technology in Krakow, Poland, where he heads the Signal Processing Group within the Faculty of Computer Science, Electronics and Telecommunications. With extensive international experience from institutions including Queen's University Belfast, Stanford University, and Fraunhofer Institute, he has established himself as a leading researcher in audio and speech signal processing. His academic journey includes B.Eng. and M.Sc. degrees from AGH University (2005), a Ph.D. from Queen's University Belfast (2009), and a Habilitation in ICT from AGH University (2020). B.Eng. and M.Sc. in Electronics and Telecommunications, AGH University of Krakow (2005) Ph.D. in Electronics, Queen's University Belfast, UK (2009) Habilitation (D.Sc.) in Information and Communication Technology, AGH University of Krakow (2020) Kowalczyk's research spans multiple cutting-edge areas in audio processing, with particular focus on speech and audio signal processing enhanced by machine learning techniques. His work integrates deep neural networks with traditional signal processing methods to address challenges in array signal processing , speech enhancement , and speaker recognition . The research group he leads explores innovative applications in distributed signal processing for IoT , acoustic event detection , and spatial audio rendering , bridging theoretical advances with practical implementations. His recent publications demonstrate a clear trend toward integrating deep learning with traditional signal processing techniques, particularly in speaker diarization, source separation, and robust speech recognition. The research increasingly focuses on real-world applications requiring reverberation-robust processing , distributed microphone array systems , and end-to-end neural architectures that can operate in challenging acoustic environments. There's a noticeable shift toward more complex, integrated systems that combine multiple signal processing tasks. Stanislaw Staszic Medal for best graduate of AGH (2005) IEEE Best Student Paper Contest finalist (2007) AES Student Technical Paper Award winner (2008) Best Student Paper Award at IWAENC conference (2014) Best Paper Awards at IEEE SPA conferences (2016, 2019) Polish Ministry of Science Scholarship for Distinguished Young Scientists (2016-2019) Prime Minister Award for outstanding scientific achievements (2020) As Principal Investigator, Kowalczyk leads multiple significant research projects including "Acoustic Intelligence" (2024-2028) funded by National Science Center, and "Deep extraction for robust speech recognition" (2023-2028). He has successfully secured funding from prestigious programs including First TEAM from the Foundation for Polish Science, and EU FP7 projects. His research group actively supervises Ph.D., M.Sc., and B.Eng. students, with strong connections to international institutions including Aalto University and IEEE Signal Processing Society. The research output includes numerous journal publications, conference papers, patents, and software implementations that have advanced the field of audio signal processing. Kowalczyk leads the Signal Processing Group at AGH University, which focuses on developing innovative solutions for speech and audio processing challenges. The group maintains strong collaborations with international institutions including Aalto University (Finland), and participates in European research initiatives. Their work spans theoretical development through practical implementation, with applications ranging from medical voice assistants to distributed acoustic sensor networks.
Dr. Kamil Waldemar Lemanek is a Polish-American academic affiliated with Maria Curie-Skłodowska University as an Assistant Professor in the Department of Logic and Cognitive Science under the Faculty of Philosophy and Sociology. He also holds an adjunct position at the University of Warsaw Institute of Philosophy. His scholarly focus bridges philosophy of language , philosophy of mind , and ontology , with significant contributions to inferentialism, semantic theory, and pedagogical innovation. PhD in Philosophy (2023), University of Warsaw Research on natural language architecture, delusion frameworks, and educational technology Extensive editorial collaboration and grant acquisition His publications reveal a thematic interplay between linguistic finitism , semantic atomism , and social epistemology . Notably, he explores unconventional pedagogical tools like ancient astronaut theory for teaching informal logic. Though no specific scientific awards are listed, his national/international grants (e.g., NCN grant for research on language architecture) demonstrate institutional support. Teaching innovations include AI-assisted peer review simulations in academic writing instruction.
- Philosophy of Language
- Philosophy of Mind
- Ontology
- +۶ مورد دیگر
Dr. Krystian Barzykowski is a Professor at the Department of General Psychology within the Faculty of Philosophy at Jagiellonian University in Kraków, Poland. He currently serves as Head of the Applied Memory Research Laboratory and is a Member of the Research Ethics Committee. He also holds the position of Proxy of the Dean of the Faculty of Philosophy for quality assessment and is a Member of the Board of the Krakow Branch of the Polish Psychological Society. Barzykowski obtained his doctorate in 2014 from Jagiellonian University and has since established himself as a leading researcher in cognitive experimental psychology with a focus on memory processes. His research spans multiple areas of cognitive psychology, particularly examining the mechanisms of autobiographical and episodic memory, involuntary cognitive processes, and the intriguing phenomenon of déjà vu. His work uniquely integrates cross-cultural perspectives with experimental cognitive psychology, exploring how multiculturalism and multilingualism affect psychological assessment and memory processes. His research program demonstrates a sophisticated approach to understanding the cognitive mechanisms behind memory retrieval, particularly focusing on how working memory influences involuntary autobiographical memories. Barzykowski's work on mind-wandering and thoughts detached from tasks represents a significant contribution to understanding spontaneous cognition. His recent Marie Skłodowska-Curie Postdoctoral Fellowship project 'SpontaneousPAST' specifically investigates how déjà vu can illuminate spontaneous memory retrieval processes. Barzykowski's extensive publication record shows a consistent focus on memory mechanisms while increasingly incorporating cross-cultural dimensions. His recent work has expanded to address timely societal issues including the psychological impact of the pandemic, refugee integration in educational settings, and the development of cultural intelligence among healthcare professionals. The interdisciplinary nature of his research connects cognitive psychology with educational, clinical, and social applications. Marie Skłodowska-Curie Postdoctoral Fellowship (2023) Andrzej Malewski Award from the Polish Academy of Sciences (2020) Mieczysław Bekker Scholarship from the National Agency for Academic Exchange (2020) Ministry of Science and Higher Education Scholarship for Outstanding Young Researchers (2018-2020) Multiple French Government Scholarships (2019-2021) International European Roma Spirit Award Finalist (2016) Barzykowski has successfully led multiple significant research projects funded by prestigious organizations including the National Science Centre, the Ministry of Science and Higher Education, the Stefan Batory Foundation, and the European Commission. His project portfolio includes 'Analysis of the role of working memory in the formation of involuntary autobiographical memories' (2020-2025), 'Wandering-mind: Advances in involuntary past and future thinking research' (2020), and 'The Role of Cognitive Inhibition in Involuntary Thinking about the Past and Future' (2016-2019). He is particularly noted for originating and co-authoring the first Polish textbook on psychological assessment in multicultural and multilingual contexts, which received a recommendation from the Council of Europe. At Jagiellonian University, Barzykowski leads the Applied Memory Research Laboratory, which focuses on experimental investigations of memory processes, particularly examining involuntary and voluntary memory retrieval mechanisms. His laboratory work integrates sophisticated experimental designs with cross-cultural perspectives, creating a unique research environment that bridges cognitive psychology with multicultural considerations. The laboratory has become a significant center for memory research in Poland, attracting international collaborators and contributing to major multinational research initiatives.
Jan Majkutewicz serves as an Assistant lecturer at the Department of Computer Systems Architecture within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His academic position focuses on advancing computational methodologies in natural language processing and knowledge representation systems. His research spans Natural Language Processing, Machine Learning, and Knowledge Representation with specific expertise in Large Language Models and graph-based embeddings. Current work investigates human-AI alignment through historical text analysis and neural representations of semantic hierarchies. Methodological innovations include cost-effective preference dataset generation and category graph embedding techniques that preserve structural relationships in knowledge bases. Publication analysis reveals consistent specialization in NLP and knowledge representation. The 2025 EditPrefs framework leverages historical text edits to address dataset scarcity in preference learning, while the 2021 Wikipedia category embedding research demonstrates practical applications for taxonomy navigation and parent category prediction through neural graph representations.
Joanna Dolińskaمشاهده پروفایل
استادیار
Joanna Dolińska is an Assistant Professor at the Faculty of Artes Liberales, University of Warsaw, specializing in linguistics with a focus on computational linguistics, language documentation, sociolinguistics, and historical linguistics. She has held prestigious research positions including Post-Doctoral Fellowships at the Smithsonian Institution (USA) and Max Planck Institute for Geoanthropology (Germany), as well as visiting researcher appointments at University of Cambridge, University of Groningen, Mahidol University, and University of Strasbourg. Dr. Dolińska earned her PhD in Comparative Altaic Linguistics from the University of Warsaw in 2019, following Master's degrees in Applied Linguistics (2011) and Oriental Studies (2015), and a Bachelor's degree in Oriental Studies (2012). Her academic journey included study periods at the National University of Mongolia, University of Leipzig, and University of Duisburg-Essen. Her research interests center on the application of natural language processing tools to low-resource languages, with particular focus on Mongolic and Tungusic languages, minority languages of Thailand and Alaska, and the Altaic language family. Dr. Dolińska leads the project "Interdependence of multilingualism and biodiversity in the Chiang Mai and Satun provinces in Thailand" at the University of Warsaw, and has been intensively studying Thai language for the past two years. Her scholarly work demonstrates a consistent focus on language documentation, computational approaches to linguistic analysis, and the preservation of endangered languages. She has published extensively on Mongolic languages, particularly Dagur, and has contributed significantly to the debate on the Altaic language family hypothesis through comparative analysis of grammatical structures. Dr. Dolińska has received recognition through research stays at prestigious institutions worldwide, including recent appointments at the Smithsonian Institution (2023-2024), Mahidol University (2023), University of Groningen (2023), University of Strasbourg (2023), University of Cambridge (2022), and Max Planck Institute for Geoanthropology (2020-2021). She actively collaborates with language communities in Thailand, Myanmar, and other regions with linguistic diversity, focusing on community-based approaches to language preservation and the development of digital tools for minority languages. Her work bridges theoretical linguistics with practical applications for language documentation and revitalization.
Ahmed Abdeen Hamedمشاهده پروفایل
استادیار
Dr. Ahmed Abdeen Hamed is a former Assistant Professor of Data Science and Artificial Intelligence at Norwich University and a former Research Team Leader in Clinical Data Science. He holds a Ph.D. from the University of Vermont (2014) and has extensive industry experience in pharmaceutical research. His work focuses on computational methods for drug discovery, network analysis, and AI-driven healthcare solutions, particularly in drug repurposing for diseases like COVID-19. He has developed algorithms such as MolecRank and NeoNet, and holds a patent for specificity-based molecule ranking systems. Education: PhD in Data Science (University of Vermont, 2014). Research Interests: Network-based drug discovery, biomedical informatics, AI in healthcare, clinical data science, and combating misinformation using machine learning. His recent work emphasizes leveraging clinical trials and biomedical literature to predict treatment efficacies through computational frameworks. Key Contributions: First inventor on a molecule ranking patent (2021), co-developer of the CovidX algorithm for drug repurposing, and supervisor of PhD students/postdoctoral fellows. Collaborates with Sano teams to advance clinical research through AI. Awards: FastCompany Most Creative (2016) Industry Impact: Contributed to a multi-million dollar grant for a recommendation engine startup. Labs/Teams: Currently part of Sano's research teams, focusing on computational clinical research and interdisciplinary collaborations.
Hubert Kowalski is a Professor at the Faculty of Archaeology, University of Warsaw, specializing in Warsaw's cultural heritage with focus on the Vistula River archaeology, historical buildings like the Kazimierzowski Palace, and university museum systems. His academic profile combines active teaching duties (with published consultation hours) and interdisciplinary research bridging archaeology, history, and museum studies. Research interests center on urban archaeology of Warsaw across historical periods, particularly the Swedish Deluge era and 17th-century architecture. His work integrates underwater archaeology of the Vistula River, analysis of historical correspondence (including interwar period documents), and studies of academic heritage collections. Key methodologies involve interdisciplinary approaches combining material culture analysis with archival research, environmental history, and museum pedagogy to reconstruct Warsaw's layered historical identity. Analysis of his 2020-2025 publications reveals consistent focus on three interconnected themes: recovery of artifacts during Vistula River low-water events (e.g., 'Archaeological Kilometer of the Vistula'), documentation of university museums and academic heritage collections, and reinterpretation of Swedish Deluge impacts through newly discovered sources. His output demonstrates increasing methodological sophistication through hydrodynamic modeling applications while maintaining deep engagement with Polish cultural identity through material heritage. Scientific Awards: No awards documented in provided materials. Advising and grants: Text contains no references to graduate students supervised or external research funding secured, though extensive publication record suggests independent research leadership. His conference participation (e.g., 'Rome and Barbarians', 'Women’s Perspectives in the Nile Valley') indicates active scholarly networking. Labs and teams: Affiliation with University of Warsaw's Faculty of Archaeology is primary institutional context, with specific connections to museum studies initiatives and Vistula River research groups. The 'Archeologiczny kilometr Wisły' project represents his key collaborative framework for river archaeology.
- Archaeology
- History
- Museum Studies
- +۲ مورد دیگر
Anna Bączkowska is a Professor at the University of Gdańsk, affiliated with the Faculty of Languages and the Institute of English and American Studies. Her work spans theoretical and computational linguistics, discourse analysis, and translation studies. Current positions: Director of the Institute of English and American Studies and Associate Professor at the University of Gdańsk Research focuses on corpus linguistics, NLP, and audiovisual translation Her research integrates corpus linguistics , computational methods , and discourse analysis , particularly in political and media contexts, alongside applications in language teaching and translation. She has participated in numerous international projects, including COST Actions like ENEOLI, PhraConRep, and DePolarisingEU. Scientific contributions and recognition include: 2024 Rector’s Award for teaching achievements 2017 Medal of the National Education Committee 2006 Bronze Cross of Merit
Dr. Bogumiła Hnatkowska serves as Assistant Professor at the Institute of Informatics within the Faculty of Computer Science and Management at Wrocław University of Science and Technology. Her academic career spans software engineering research and education with emphasis on model-driven approaches and quality assurance methodologies. Her research interests include: Software Engineering Analysis and Design of Information Systems Software Development Methodologies Model-Based Software Development Domain-Specific Languages Software Quality Recent publications (2021-2025) reveal concentrated research in model-driven engineering, business rules processing, and ontology integration. Key trends involve textual specification languages for use-cases, automated test generation mechanisms, and formal transformations for ontologies – demonstrating consistent application of theoretical rigor to practical software development challenges across agile and model-based contexts. Scientific Awards: No scientific awards were mentioned in the provided text Dr. Hnatkowska has served as principal investigator for multiple State Committee for Scientific Research grants including UML extensions for multimedia systems (2000), real-time systems analysis (2005), and model-driven database design (2008). Her teaching portfolio includes Software Engineering, Software System Development, and Advanced Programming Techniques courses where she supervises team projects providing students with hands-on development experience. She actively participates in partner programs including Visual Paradigm's Academic Training Partner Program (providing UML/BPMN/agile tools) and IBM Academic Initiative, supporting her research in software engineering methodologies and educational tool development.