جست‌وجوی استاد و پژوهشگر

• Computer Science
• Blockchain Technology
• Cyber-Physical Systems
• +۳ مورد دیگر

Michał Horodelski is an Assistant Professor at the Department of Applied Computer Science, Faculty of Natural and Technical Sciences, John Paul II Catholic University of Lublin. His research focuses on blockchain technology, cyber-physical systems, and simulation tools, with applications in emergency medical services and healthcare informatics. He utilizes Petri nets and Scilab for modeling and verification. University: John Paul II Catholic University of Lublin School: Faculty of Natural and Technical Sciences Department: Department of Applied Computer Science Academic Rank: Assistant Professor Email: michal.horodelski@kul.pl Horodelski's research spans blockchain for decentralized authorization, smart contracts, and real-time systems in healthcare. His work includes applications of knowledge-based systems for EEG analysis and life-saving algorithms, emphasizing data synchronization and simulation. He has collaborated with institutions like Warsaw School of Economics and Wrocław University of Economics. His projects include methodology development for system behavior description in algebraic environments funded by the National Science Centre. Horodelski is a member of the European Centre for Information Society Technologies (ECIST) and contributes to open-source software adoption in academia.

• Human-Computer Interaction
• Ergonomics
• Industrial Logistics
• +۲ مورد دیگر

Magdalena Wróbel-Lachowska is a researcher at the Institute of Applied Computer Science within Łódź University of Technology's Faculty of Electrical, Electronic, Computer and Control Engineering. Her interdisciplinary work bridges human-computer interaction, ergonomics, and industrial logistics. Research domains include: Wearable technology for health monitoring and sensory augmentation Ergonomic workplace design and assessment methodologies HCI innovations for neurodiverse populations Logistics education in Industry 4.0 contexts Recent publications demonstrate: Expanding focus on health technologies (2021-2023) Sustained engagement with ergonomic principles Consistent interdisciplinary approach across domains Laboratory work involves developing interactive systems and sensor technologies with applications in healthcare, accessibility, and industrial settings.

• Protein Biochemistry
• Molecular Biology
• Neurodevelopmental Disorders
• +۳ مورد دیگر

Dr. hab. Szymon Ziętkiewicz is a Lecturer in the Department of Protein Biochemistry at the Faculty of Biotechnology, University of Gdańsk, in collaboration with the Medical University of Gdańsk. His research focuses on molecular mechanisms of protein folding, chaperone systems, and their implications in neurodevelopmental, genetic, and metabolic diseases. Key research areas include: Neurogenetic disorders (e.g., KCNK4 mutations, CLPB deficiency) Mitochondrial proteostasis and heat shock proteins Immune checkpoint receptors (HVEM/CD160) in melanoma Genotype-phenotype correlations in rare diseases Protein aggregation and disaggregation dynamics His publications span clinical genetics, structural biology, and biochemical characterization of disease-linked proteins, with a focus on neurology, nephrology, and immunotherapy. Recent work highlights epilepsy phenotypes, mitochondrial refoldases, and immune signaling mechanisms.

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +۴ مورد دیگر

Tomasz Kajdanowicz serves as an Associate Professor in the Department of Artificial Intelligence at Wrocław University of Science and Technology's Faculty of Information and Communication Technology. His research bridges theoretical machine learning with practical cybersecurity and natural language processing applications. His primary research interests focus on graph neural networks , large language model optimization , and interpretable cybersecurity systems . Notable contributions include the MIRAD framework for ransomware detection and PUGG dataset development for Polish language processing. His work demonstrates consistent innovation in graph representation learning, particularly through multiplex graph fusion techniques and knowledge graph enrichment strategies. Analysis of his recent publications reveals a strong trajectory toward trustworthy AI systems with emphasis on hallucination detection (FactSelfCheck), latent space optimization (LatentPrompt), and synthetic data generation for medical applications. His cybersecurity research shows increasing sophistication in interpretable threat detection mechanisms. His academic supervision includes multiple doctoral and master's students evidenced through co-authorship patterns, particularly in graph-based learning and NLP projects. Current collaborations span biomedical signal processing (fNIRS analysis) and efficient LLM deployment strategies. His laboratory work centers on the AI Security Lab within the Department of Artificial Intelligence, focusing on adversarial robustness testing and real-time network monitoring systems. Key initiatives include the development of Polish-language NLP benchmarks and cross-domain graph embedding frameworks.

• Autism Spectrum Disorders
• Neuropsychology
• Human-Computer Interaction
• +۶ مورد دیگر

Dr. Suvarna Rekha Chinta serves as an Assistant Professor in the Department of Clinical Psychology within the Faculty of Philosophy at Jagiellonian University in Krakow, Poland. Her academic profile spans clinical practice, cognitive neuroscience, and human-computer interaction, reflecting a truly interdisciplinary approach to understanding cognitive processes and neurodevelopmental disorders. Her educational background and professional qualifications include over nine years of practical experience as a therapist, complemented by extensive research activities. Dr. Chinta earned her doctorate and has established herself as a respected academic in multiple fields of psychological science. Dr. Chinta's research program demonstrates remarkable breadth, focusing on autism spectrum disorders, working memory enhancement through transcranial electrical stimulation, EEG and fMRI studies related to schizophrenia, and assistive technologies for children with dyslexia. Her recent publications from 2023-2024 indicate an active and current research trajectory in cognitive neuroscience methodologies. Her scholarly contributions span multiple disciplines, with publications appearing in neuroscience journals, cognitive psychology outlets, and human-computer interaction venues. This cross-disciplinary approach reflects her commitment to addressing complex psychological questions through multiple methodological lenses. Active member of the American Psychological Association (APA) Former editorial board member of DAS Singapore Recipient of research funding for projects on autism, PMTCT-HIV/AIDS, and dyslexia As an educator, Dr. Chinta has taught undergraduate courses in artificial intelligence and neural networks, human-computer interaction, cognitive science, and neuropsychology. Her teaching philosophy appears to integrate clinical practice with technological applications, preparing students for interdisciplinary approaches to psychological science. She maintains an active laboratory conducting research on EEG and fMRI methodologies related to schizophrenia and cognitive enhancement techniques. Her work with multilingual populations, particularly Telugu speakers, demonstrates a commitment to understanding cognitive processes across diverse linguistic backgrounds.

• Cognitive Science
• Brain-Computer Interfaces
• Robotics and Human-Robot Interaction
• +۵ مورد دیگر

Dr. Artur Gunia is a researcher at the Department of Cognitive Science within the Faculty of Philosophy at Jagiellonian University in Kraków, Poland. His work spans the interdisciplinary field of cognitive science with particular focus on human-technology interaction, neurotechnology, and philosophical aspects of cognition. His research interests encompass brain-computer interfaces, cognitive enhancement technologies, virtual and augmented reality systems, robotics, and the ethical implications of emerging technologies. Gunia's work demonstrates a strong interdisciplinary approach, bridging cognitive science, computer science, philosophy, and psychology to explore how technologies can augment human cognitive capabilities while addressing associated ethical concerns. Analysis of his recent publications reveals a consistent focus on the intersection of cognitive science and technology, particularly examining how emerging technologies like brain-computer interfaces, virtual reality systems, and social robots affect human cognition, perception, and behavior. His work spans both theoretical investigations of cognitive frameworks and practical applications of cognitive enhancement technologies across various domains including education, safety systems, and assistive technologies. Gunia has made significant contributions to understanding the phenomenological aspects of body schema in virtual environments, trust dynamics in human-machine interaction, and ethical considerations in robotics. His publications demonstrate a consistent trajectory of research exploring how humans adapt to and integrate with technological systems, with particular attention to cognitive, affective, and ethical dimensions.