جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Control Systems
• Brain-Computer Interfaces
• +۷ مورد دیگر

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.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Maciej Zięba is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically within the Department of Artificial Intelligence . His work spans machine learning, deep learning, and computer vision, with a focus on hyperspectral imaging, autonomous systems, and 3D modeling. Recent research includes uncertainty-aware sensor deployment for autonomous vehicles, low-light image enhancement algorithms, and probabilistic regression frameworks for tabular data. He has co-authored publications on flow-based models, hypernetworks, and neural radiance fields (NeRF) applied to 3D face rendering. Contact: maciej.zieba@pwr.edu.pl

Monika Rosińskaمشاهده پروفایل

استادیار

• Sociology of Design
• Non-anthropocentric Design
• Science and Technology Studies
• +۷ مورد دیگر

Monika Rosińska is an Assistant Professor at SWPS University's Faculty of Design in Warsaw, where she serves as Head of the Department of Design Theory and Research and as Dean's Representative for Interdisciplinarity. She is affiliated with both the Institute of Social Sciences and the Design Institute within the university. Her research focuses on the socio-cultural dimensions of design practices, with particular expertise in non-anthropocentric design, science and technology studies (STS), and critical/speculative design approaches. She investigates the history of design within political, social and cultural contexts, and examines the sociology of objects in everyday life. Dr. Rosińska explores why the creative process extends beyond form and function, pursues definitions of "good design," and investigates what matters to contemporary designers. Her scholarly work reveals consistent themes across publications, with recent research increasingly focused on multi-species communities and non-anthropocentric approaches to design. Her 2019 paper "Zoepolis: Non-anthropocentric design as an experiment in multi-species care" represents a significant contribution to this emerging field, building on earlier work exploring urban revitalization and participatory design. Dr. Rosińska has curated exhibitions including "Zoepolis. Design for Plants and Animals," which serves as both research output and practical exploration of her theoretical frameworks. Her publications span from foundational works on collective behaviors ("Deindywiduacja. Socjologia zachowań zbiorowych") to cutting-edge explorations of AI in visual arts (2025). She actively contributes to academic discourse through platforms including Google Scholar, ResearchGate, Academia.edu, and ORCID, maintaining visibility across multiple scholarly networks. Her work bridges sociology and design in innovative ways that challenge traditional disciplinary boundaries.

• Embedded Systems
• Artificial Neural Networks
• Signal Processing
• +۳ مورد دیگر

Magdalena Szymczyk is a Lecturer in the Department of Biocybernetics and Biomedical Engineering at AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. Her work bridges embedded systems, biomedical signal processing, and geophysical data analysis. Research focuses on energy-efficient sensor networks, neural networks for GPR data classification, and mathematical transforms in signal analysis Expertise in parallel computing, real-time systems, and biomedical engineering applications Her publications (2015–2025) demonstrate a trajectory from parallel neural networks and S-transform/GPR methodologies to recent work on MicroPython in embedded systems. Key themes include energy optimization in distributed architectures and AI-driven signal processing across biomedical and geophysical domains. She has authored works on deterministic chaos in simulations, GPU image processing, and cybersecurity in microcontroller systems. Her current research emphasizes embedded systems security, medical signal diagnostics, and computational methods for geological analysis. She utilizes tools like OpenCL for GPU acceleration and MATLAB for parallel computing implementations.

Ngoc Thanh Nguyenمشاهده پروفایل

استاد

• Computational Collective Intelligence
• Knowledge Integration
• Data Mining
• +۶ مورد دیگر

Ngoc Thanh Nguyen is a Full Professor at Wroclaw University of Science and Technology where he serves as Head of the Department of Applied Informatics. He holds the prestigious title of Professor granted by the President of Poland and has been recognized as a Distinguished Scientist of ACM since 2009. He serves as Editor-in-Chief of both the Journal of Information and Telecommunication (JIT) and the Vietnam Journal of Computer Science (VJCS), and chairs the IEEE SMC Technical Committee on Computational Collective Intelligence. His research spans computational collective intelligence, knowledge integration, data mining, social media analysis, and sentiment analysis. Professor Nguyen has pioneered significant methodologies in spatial data clustering within network space, inter-sequence pattern mining, and graph neural network applications. His work bridges theoretical computer science with practical applications in intelligent information systems, demonstrating particular expertise in handling complex spatial and sequential data structures. His research has evolved from foundational pattern mining techniques to sophisticated neural network approaches for geospatial and social data analysis. The analysis of his recent publications reveals a strong focus on spatial data analysis in network environments, with significant contributions to clustering algorithms, graph neural networks, and pattern mining. His work consistently addresses efficiency challenges in data processing while expanding into emerging areas like Vietnamese language processing and topological data analysis. The research demonstrates a clear trajectory from traditional data mining techniques toward more sophisticated AI-driven approaches that incorporate spatial relationships and network topologies. Distinguished Scientist of ACM (2009) ACM Distinguished Speaker (2009-2013) IEEE Distinguished Visitor (2009-2013) Title of Professor granted by the President of Poland Professor Nguyen has supervised over 20 PhD students to completion and currently mentors several ongoing doctoral candidates. His academic leadership extends to founding two major conference series: the Asian Conference on Intelligent Information and Database Systems (ACIIDS) and the International Conference on Computational Collective Intelligence (ICCCI), which have become significant venues in their respective fields. His collaborative network spans multiple institutions, particularly with Yeungnam University as evidenced by several co-supervised PhD projects. As founder and chair of the IEEE SMC Technical Committee on Computational Collective Intelligence, he leads an international community of researchers advancing this specialized field. His departmental leadership at Wroclaw University of Science and Technology positions him at the center of applied informatics research and education in Poland, with particular emphasis on computational intelligence applications.

Jan Cudzikمشاهده پروفایل

استادیار

• Parametric Design
• Computation
• Generative Design
• +۹ مورد دیگر

Jan Cudzik is an Assistant professor at the Gdańsk University of Technology's Department of Urban Architecture and Waterscapes, Faculty of Architecture. He leads the Digital Technology Laboratory and focuses on integrating computational methods with architectural design and conservation. His research spans parametric design, generative systems, artificial intelligence, and sustainable construction practices. Education details are not explicitly provided in the texts, but his academic roles indicate advanced training in architecture and engineering. Research interests include: AI-driven design processes Generative design using swarm intelligence 3D printing in construction Energy-efficient building lifecycle assessment Traditional-conservation/digital-fabrication hybrids Key publication trends emphasize: Public space sustainability (lighting, greenery) Machine learning applications in architecture Historical structure preservation He contributes to projects like ENACT 15mC, focusing on urban community development. His work bridges digital innovation with ecological and cultural heritage concerns. Labs/Teams: Director of the Digital Technology Laboratory, active in architectural education reform using AI tools.

• Power Electronics
• Building Automation
• Smart Grids
• +۷ مورد دیگر

Dr. Andrzej Ożadowicz is a University Professor at the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His office is located in room 510, building C-1, with contact details including phone +48 12 617 50 11 and email ozadow@agh.edu.pl. He holds PhD, DSc, and Engineering degrees, reflecting his dual expertise in academic research and practical engineering applications. His research spans Power Electronics, Building Automation, Smart Grids, and IoT-driven energy systems. Key interests include energy efficiency optimization through digital twins and BIM, distributed energy resource integration , and AI-enhanced demand management . Notably, he pioneers applications of deep reinforcement learning in home energy systems and develops frameworks for Smart Readiness Indicator implementation. His work bridges theoretical innovation with practical case studies in building thermal modeling and dynamic façade systems. Recent publications (2021-2025) reveal three dominant trends: (1) Convergence of digital twin technology with building automation for real-time energy management; (2) Critical analysis of IoT security and interoperability in smart infrastructure; (3) Pedagogical innovations in engineering education through blended learning methodologies post-COVID-19. His scholarly output demonstrates consistent focus on energy transition challenges and smart grid evolution. Professor Ożadowicz actively contributes to the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies at AGH. He is instrumental in the AutBudNet initiative —a network of certified laboratories for energy efficiency assessment that implements "learning by doing" principles in building automation education. His work with this consortium emphasizes practical validation of smart grid technologies and demand response systems.

• Optimization Algorithms
• Evolutionary Algorithms
• Machine Learning
• +۴ مورد دیگر

Rafał Biedrzycki is an Assistant Professor at The Institute of Computer Science within Warsaw University of Technology's Faculty of Electronics and Information Technology. His research focuses on optimization algorithms, evolutionary computation, and machine learning applications. He holds a PhD in Information Science (2009) and a D.Sc. (2024). Key research interests include evolutionary algorithms (e.g., Differential Evolution, CMA-ES), optimization techniques for real-world problems (e.g., compressor scheduling, optical networks), and algorithm benchmarking. He has contributed to improving constraint-handling methods and hybrid algorithm designs. Received team awards for scientific achievements from Warsaw University of Technology (2019, 2023) and teaching excellence (2021, 2024). Active in interdisciplinary projects, including the DAFNE initiative for data fusion systems (2010-2011). Supervises research in optimization, machine learning, and computational electromagnetics. His work bridges theoretical algorithm development with practical applications in engineering and data analysis. Recent efforts include analysis of CEC competition algorithms and parameter-tuning methodologies.

Bogusława Whyattمشاهده پروفایل

استاد

• Psycholinguistics
• Translation Studies
• Translation Process Research
• +۵ مورد دیگر

Bogusława Whyatt is a Professor at the Faculty of English, Adam Mickiewicz University, Poznań. She holds a D.Litt. in linguistics (2014), Ph.D. in English (2000), and MA in English (1992) from Poznań institutions. Her academic profile spans psycholinguistics, translation studies, and cognitive approaches to translation processes. Key research themes include: Translation process dynamics and directionality effects Eye-tracking applications in translation reception studies Development of translation competence and pedagogy Psycholinguistic analysis of language processing Metacognitive skill transfer between translation and paraphrasing Recent publications focus on cognitive effort metrics, directionality impacts, and empirical methodologies combining eye-tracking and key-logging data. She leads major projects like Read Me (2021-2025) and EDiT (2016-2019), examining translated text reception and translation directionality respectively. Scientific honors include three consecutive Adam Mickiewicz University Rector's Awards for Organizational Excellence (2018, 2023, 2024). She supervises PhD research in translation cognition and has mentored four doctoral candidates to completion. Active in professional networks like the MC2 Lab and TREC consortium, she contributes to cognitive translation studies through methodological innovations and international conference organization. Her methodological expertise includes psychometrics, EEG research, and ATLAS.ti data analysis tools.

Daniel Grykoمشاهده پروفایل

استاد

• Organic Photochemistry
• Fluorescent Dyes
• Two-Photon Absorption
• +۷ مورد دیگر

Professor Daniel Gryko leads a prominent research group at the Institute of Organic Chemistry, Polish Academy of Sciences, specializing in advanced functional dyes and photochemistry. His work bridges fundamental organic synthesis with practical applications in bioimaging, molecular electronics, and nanomaterials. With over 150 publications and numerous high-impact grants, including an ERC Advanced Grant and multiple Horizon Europe projects, Gryko has established himself as a leader in the field of novel chromophore design. Gryko's research focuses on developing innovative fluorescent dyes with exceptional photophysical properties, particularly exploring fluorescence of nitroaromatics, two-photon absorption phenomena, and excited-state intramolecular proton transfer (ESIPT). His group specializes in several key structural platforms including corroles, diketopyrrolopyrroles, pyrrolo[3,2-b]pyrroles, dipyrrolonaphthyridinediones, porphyrins, and coumarins. Recent work has centered on creating strongly emitting helicenes, quadrupolar dyes with unique symmetry-breaking properties, and developing specialized fluorophores for super-resolution microscopy applications. Analysis of Gryko's recent publications reveals a strong emphasis on molecular design strategies for controlling photophysical behavior. His group frequently employs π-expansion techniques, heteroatom doping, and strategic substitution patterns to tune emission properties. A significant portion of their work focuses on overcoming traditional limitations in fluorophore design, such as the non-fluorescence of nitroaromatics, through innovative molecular architectures. Gryko has received prestigious recognition including an ERC Advanced Grant for the ARCHIMEDES project targeting NIR-II emission efficiency, multiple Horizon Europe grants, and the TEAM grant from the Foundation for Polish Science supporting development of fluorescent probes for super-resolution microscopy. His group's work has resulted in numerous publications in top-tier journals including Journal of the American Chemical Society , Chemical Science , and Angewandte Chemie . Professor Gryko actively mentors a diverse research team including PhD students, postdoctoral researchers, and collaborators worldwide. His group has secured substantial funding including Horizon Europe grants for PhotoBrane and APACE projects, ERC funding, and multiple Polish National Science Centre grants. Current projects focus on developing novel fluorescent probes for super-resolution microscopy, creating bio-mimetic sunlight-pumped lasers, and designing photo-switchable membranes for molecular separation. The Gryko group operates a well-equipped laboratory focused on organic synthesis and photophysical characterization. Their work spans from fundamental molecular design to practical applications in bioimaging and materials science. Recent expansions of their research program include development of probes for detecting SARS-CoV-2 proteases, demonstrating the group's ability to pivot toward addressing pressing societal challenges.

Stefan Lorenz Sorgnerمشاهده پروفایل

استاد

• Transhumanism
• Posthumanism
• Philosophy of Technology
• +۷ مورد دیگر

Stefan Lorenz Sorgner is a Professor of Philosophy at John Cabot University in Rome, where he teaches and conducts research at the intersection of philosophy, technology, and ethics. He is internationally recognized as a leading expert in transhumanism and posthumanism, particularly for developing the concept of Euro-Transhumanism rooted in Nietzschean thought. Sorgner holds multiple prestigious research affiliations, including Fellow at the Institute for Ethics and Emerging Technologies (IEET), Research Fellow at the Ewha Institute for the Humanities in Seoul, and Visiting Fellow at the Ethics Centre of Friedrich-Schiller-University Jena. He is the founding and current Editor-in-Chief of the Journal of Posthuman Studies , a peer-reviewed academic journal published by Penn State University Press since 2017. His research interests include the ethical implications of gene editing, artificial intelligence, brain-computer interfaces, digital data, and human enhancement technologies. He is the Director and Co-Founder of the Beyond Humanism Network and serves as academic advisor to Humanity+. Sorgner is a frequent speaker at major international conferences such as TEDx, the World Humanities Forum, and the Venice Biennale, and is regularly cited in global media including Die Zeit , Il Sole 24 Ore , and Philosophy Now . Sorgner’s recent publications reveal a consistent thematic focus on the philosophical, ethical, and aesthetic dimensions of posthuman futures. His works analyze the shift from the ontology of Being to Becoming, explore the art of the hybrid and the chimera, and advocate for a pluralistic, ethically grounded approach to technological advancement. He emphasizes the importance of responsibility, empathy, and cultural critique in navigating the posthuman paradigm shift. Scientific Recognition and Influence: Described as “Germany's leading post- and transhumanist philosopher” by Rainer Zimmermann (University of Applied Sciences Düsseldorf). Wolfgang Welsch (Friedrich-Schiller-Universität Jena) identifies him as “one of the worldwide leading experts on trans- and posthumanism.” Gianni Vattimo (University of Turin) praises the “profound originality” and philosophical depth of his work. Julian Savulescu (University of Oxford) calls We Have Always Been Cyborgs “an eye-opening, wide-ranging and all-inclusive study” and “highly recommended.” Advising and Public Engagement: Academic Advisor of Humanity+, a global nonprofit supporting human enhancement. Director and Co-Founder of the Beyond Humanism Network, fostering interdisciplinary dialogue on posthuman futures. Regular media commentator and public speaker, actively shaping public discourse on technology and ethics. Research Centers and Networks: Member of the Beyond Humanism Network (founder and director). Research Fellow at the Ewha Institute for the Humanities (Seoul). Visiting Fellow at the Ethics Centre, Friedrich-Schiller-University Jena. Fellow at the Institute for Ethics and Emerging Technologies (IEET).

• AI safety
• LLM unlearning
• Chain-of-Thought faithfulness
• +۵ مورد دیگر

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.

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)

Michał Paweł Michalakمشاهده پروفایل

استادیار

• computational geometry
• machine learning in Earth sciences
• statistical methods in Earth sciences
• +۲ مورد دیگر

Michał Paweł Michalak is an Assistant Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection and Department of Geoinformatics and Applied Informatics. His research spans computational geometry in geological modeling, machine learning applications in Earth sciences, statistical epidemiology, and ecclesiological dynamics. Doctoral degree from University of Silesia in Katowice Developed GeoAnomalia software suite combining C++, R, and ParaView Created unbiased risk metrics (WCSIR) for infectious disease surveillance Research focuses on: Subsurface geological modeling using combinatorial algorithms and machine learning; Spatial epidemiology emphasizing testing heterogeneity bias; Ecclesiological dynamics analyzing factional theological interactions. His 2020/37/N/ST10/02504 grant project received 'very good' evaluation for developing angular distance metrics in geological contacts. Scientific contributions include: 2025 Solid Earth paper on fault-related structure detection 2025 Frontiers in Public Health work on global pandemic risk evaluation 2023 AGH Rector award recipient Developer of open-source geological analysis tools Collaboration network includes Harvard University, Technische Universität Freiberg, and University of Texas at Austin. Currently teaching GIS modeling, optimization methods, and geoinformatics systems. Maintains a personal website with open data access.

Igor Wojnickiمشاهده پروفایل

استاد

• Smart City Systems
• Graph-Based Computational Methods
• Energy-Efficient Lighting Control
• +۴ مورد دیگر

Igor Wojnicki is a Professor at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, where he serves as Vice-Dean of the Faculty of Cooperation and Education. His primary affiliation is with the Department of Applied Informatics, where he maintains an active research laboratory focused on knowledge engineering and smart systems. His research spans multiple domains with evolving focus: Early career: Deductive databases and rule-based inference engines (PhD thesis on "A Rule-based Inference Engine Extending Knowledge Processing Capabilities of Relational Database Management Systems") Mid-career: Graph-based knowledge representation and Tabular Trees (XTT predecessor) Current focus: Smart city applications, particularly energy-efficient lighting control systems and graph-based urban data integration His recent publications demonstrate a clear trajectory toward applied urban computing, with over 15 significant papers in the last five years addressing smart city infrastructure optimization. Key themes include dynamic street lighting control, graph-based computational methods for urban environments, and energy conservation in public infrastructure. Wojnicki actively contributes to academic-practical collaboration through initiatives like the Green AGH Campus Project and IBM academic partnerships. His technical leadership includes development of the ReDaReS system for relational database knowledge processing and the Jelly View technology for advanced database queries. His laboratory maintains strong industry connections, particularly with IBM through student internship programs and technology transfer initiatives. The team produces both theoretical frameworks and practical implementations, with notable outputs including the Osiris GUI system and Magellan GPS software for Poland.