جست‌وجوی استاد و پژوهشگر

• Political Theory
• Political Philosophy
• Cultural Evolution
• +۳ مورد دیگر

Dr. hab. Piotr Łukomski is an Associate Professor at the Department of Political Theory, Institute of Political Science, University of Wrocław. His academic career focuses on the intersection of political theory, philosophy, and cultural analysis, with notable contributions to Hannah Arendt's philosophy, game theory applications in politics, and the role of imagination in political thought. Department: Political Theory Email: piotr.lukomski@uwr.edu.pl ORCID: 0000-0002-5307-616X Research Interests: His work spans conceptual metaphors in political theory, decision-making under hazardous conditions, cultural evolution of tyranny, and the aestheticization of politics. He examines how digital technologies (like VR) reshape political identity and how Arendtian frameworks apply to modern governance. Teaching: Coordinates social consulting labs and teaches decision-making processes in political contexts, with a focus on practical applications in hazardous conditions. Publications: Recent articles analyze VR-era political identity, Hannah Arendt's relevance to modern democracy, and the integration of problem-solving strategies in political thought.

Jerzy Bańskiمشاهده پروفایل

استاد

• Land Use
• Spatial Planning
• Rural Geography
• +۳ مورد دیگر

Prof. Jerzy Bański is a retired Professor and former Head of the Department of Rural Geography and Local Development at the University of Warsaw's Faculty of Geography and Regional Studies. His academic career spans over three decades with a PhD (1996) and post-doctoral degree (2000) in Earth Sciences, specializing in economic and rural geography. He has led 48 research projects and supervised 5 PhD and 43 MSc students at Maria Curie-Skłodowska University in Lublin. His research focuses on land use dynamics, rural development, spatial planning, and socioeconomic processes in Central and Eastern Europe. Notable contributions include analyzing post-socialist agricultural transformations, village decline, and pandemic spatial impacts. He authored 421 publications, including 151 in English, and received the Jan Olaf Chmielewski Science Award (2001) and Honorary Membership in the Bulgarian Scientific Society. Key projects include classifying rural areas for territorial policy, assessing pandemic geography, and evaluating agricultural land ownership changes. His work frequently intersects with policy design, institutional analysis, and interdisciplinary collaboration in academia. Awards: Jan Olaf Chmielewski Science Award (2001), Honorary Membership (Bulgarian Scientific Society) Grants: 48 projects led, including EU and national funding Education: MA (University of Warsaw), postgraduate studies in scientific photography

• 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.

• 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.

Michał Wolskiمشاهده پروفایل

استادیار

• Literary Studies
• Film Studies
• Comic Book Theory
• +۵ مورد دیگر

Dr Michał Wolski is an Assistant Professor at the Department of Editing, University of Wrocław’s Faculty of Philology. Specializing in literature and film studies, he holds degrees in Polish Philology (editing), Journalism, and Typography. His research focuses on vampire imagery, pop culture, comic book theory, and text aesthetics. Education: M.A. in Polish Philology (editing spec.), Journalism & Creative Writing, Academic Typography. PhD (2017): The Imagination of the Vampire in the Face of Models of the Contemporary Antihero . Research Interests: Cultural analysis of vampires in media, typographic design in publishing, superhero narratives, adaptation strategies, and Polish popular culture history. Publications: Authored Sensitive Bloodsuckers (2020), edited Lexicon of (Less Known) Vampire Films (2018), and published over 40 articles in journals like Zeszyty Komiksowe and Journal of Adaptation in Film and Performance . Leadership: Founded the Trickster research association, organized 20+ conferences, and contributed to 13 monographs on pop culture. Co-manages the POPkultura–POPliteratura book series. Projects: Led CLARIN infrastructure work (2013–2015) and editorial projects on vampire films. Currently oversees Stanisław Vincenz Archive initiatives. Labs/Teams: Active in the Department of Editorial Studies and Wrocław’s pop culture research networks.

• Multiscale Computational Engineering
• Materials Modeling
• Composite Materials
• +۸ مورد دیگر

Caglar Oskay is an Associate Professor in the Department of Civil and Environmental Engineering at Vanderbilt University, where he has held academic positions since 2006. He specializes in multiscale computational mechanics, materials modeling, and failure analysis of heterogeneous materials. His research integrates advanced numerical methods such as the Extended Finite Element Method (XFEM), reduced-order homogenization, and variational multiscale enrichment to study composite materials, viscoelastic systems, and polycrystalline structures under extreme conditions. Dr. Oskay has been recognized with awards including the Chancellor Faculty Fellow (2016–2018) and ASCE ExCEEd Fellow (2011). Education: PhD (Civil Engineering, Rensselaer Polytechnic Institute, 2003), M.S. (Civil Engineering, Rensselaer Polytechnic Institute, 2000), M.S. (Applied Mathematics, Rensselaer Polytechnic Institute, 2000), B.S. (Civil Engineering, Middle East Technical University, 1998). Research focuses on predictive computational models for material behavior under mechanical, thermal, and chemical loading. Key areas include fatigue life prediction, damage accumulation in composites, and coupled transport-deformation phenomena. Recent work addresses multiscale modeling of nickel-based superalloys, polyurea-coated composites, and energetic materials under dynamic loading. His contributions span 100+ peer-reviewed publications, including seminal studies in International Journal for Multiscale Computational Engineering and Acta Materialia . His articles emphasize multiscale frameworks for heterogeneous materials, with trends in reduced-order methods, uncertainty quantification, and interdisciplinary applications (e.g., biology, energy systems). Awards highlight his educational and technical leadership. Advising and grants include collaborative projects on composite durability and energetic material simulation. Dr. Oskay leads the Multiscale Computational Mechanics Lab (MCML), advancing computational tools for engineering materials research.

• Fluid Mechanics
• Numerical Modeling
• Porous Media
• +۶ مورد دیگر

Prof. Wojciech Sobieski is a faculty member at the Department of Mechanics and Fundamentals of Machine Design within the Faculty of Technical Sciences at the University of Warmia and Mazury in Olsztyn . His research focuses on fluid mechanics, numerical modeling, and porous media analysis, with applications in environmental engineering, hydraulic systems, and 3D printing. Academic Rank: Professor Scientific Discipline: Mechanical Engineering Key Research Areas: Tortuosity Analysis, Multiphase Flow, DEM Simulations His recent publications highlight advancements in computational methods for granular porous media, fluid flow modeling, and thermodynamic applications. Notable trends include the use of the Waterfall Algorithm for geometric analysis and sensitivity studies of numerical models like the Eulerian multiphase approach. He has contributed to understanding Forchheimer's laws and cavitation phenomena in hydraulic systems. Prof. Sobieski oversees the PathFinder Project , a research initiative focused on numerical modeling of porous media. His laboratory maintains infrastructure for multiphase flow simulations and particle-scale modeling. He has supervised 2 doctoral students to completion but currently has no active advisees.

Mariusz Dejaمشاهده پروفایل

استاد

• Additive Manufacturing
• Computer-Aided Manufacturing (CAM)
• Abrasive Machining
• +۳ مورد دیگر

Prof. Mariusz Deja serves as the Dean of the Faculty of Mechanical Engineering and Ship Technology at Gdańsk University of Technology. He holds a PhD (2001) and habilitation (2014) in Mechanical Engineering. His academic roles include Head of the Department of Manufacturing and Production Engineering (since 2019), and former Vice-Dean for Education (2016–2020) and Vice-Dean for Cooperation (2020–2024). Education: Master's in Mechanical Engineering (1993), Pedagogical Studies (1993), and postgraduate courses in TQM and ECO-Integrated Mechanical Engineering (1997). Professional experience includes roles as an assistant (1993–2001), assistant professor (2002–2017), associate professor (2017–2019), and full professor (since 2019). Research focuses on abrasive machining, additive manufacturing, and CAPP algorithms. Key interests include material removal processes, precision engineering, and tool fabrication using AM. Collaborations include visiting professorships at China's Dezhou University (2018), Germany's Technical University of Berlin (2021–present), and Sweden's KTH Stockholm (2023–2024). Awards include the Silver Cross of Merit (2016) and multiple Rector Awards for scientific, didactic, and organizational achievements. His work spans over 98 publications, with recent studies on 3D printing applications, container terminal logistics, and AI-driven defect analysis. Labs/Teams: Involved in research infrastructure related to additive manufacturing tools and precision machining systems. Active in projects like the NEPTUN initiative (Horizon Europe-funded) and Industry 4.0 collaborations.

Adam Szymkiewiczمشاهده پروفایل

استاد

• Groundwater flow
• Hydraulic properties of porous media
• Numerical methods for flow and transport in porous media
• +۴ مورد دیگر

Summary Adam Szymkiewicz is a full Professor and Vice-Dean for Scientific Research at the Faculty of Civil and Environmental Engineering, Gdańsk University of Technology. He leads the Department of Geotechnics and Water Engineering and holds academic positions since 2021. His research focuses on groundwater flow, contaminant transport, and numerical modeling in porous media. Key roles include Head of Department (2022–present) and Vice-Dean (2024–present). Education includes a PhD from Joseph Fourier University (2004) and habilitation from Gdańsk University of Technology (2013). Research Interests: Hydraulic properties of porous media, multiphase fluid flow, climate change impacts, and integrated hydrological modeling. Notable projects include AQUIGROW (HORIZON EUROPE) and SOILPROM. Publications: Over 50 peer-reviewed articles on topics like PFAS migration, groundwater recharge, and MODFLOW coupling. Recent work emphasizes climate change effects on aquifers and coastal hydrogeology. Awards: Multiple Rector awards (2012–2022) and Polish Academy of Sciences Award (2013). Membership: AGU, EGU, InterPore, and Polish Hydrogeologists Society. Editorial roles include Associate Editor of Acta Geophysica .

Dorota Chwiedukمشاهده پروفایل

استاد

• Solar Energy
• Renewable Energy Systems
• Building Energy Efficiency
• +۱۱ مورد دیگر

Professor Dorota Chwieduk is a distinguished faculty member at the Division of Refrigeration and Energy in Buildings within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. She serves as Deputy Director of the Institute of Heating Engineering and heads the Post Diploma Study program on Energy Efficient Buildings, Energy Characteristics of Buildings, Energy Auditing and Thermal Refurbishment. With a career spanning decades, Professor Chwieduk has established herself as a leading expert in solar energy applications and building energy efficiency. Her research focuses on unconventional energy conversion methods, solar technologies, heat transfer in buildings, renewable energy systems integration, thermal energy storage (including phase change materials), and energy performance assessment. She has published extensively in these fields, with numerous high-impact journal articles and book contributions. Solar Energy in Buildings: Thermal Balance for Efficient Heating and Cooling (Elsevier, 2014) Multiple publications on PV/T systems, building-integrated solar technologies, and thermal energy storage Research on high latitude building design and energy performance Professor Chwieduk's work demonstrates consistent focus on practical applications of renewable energy technologies in building systems, with particular attention to climate-specific design considerations and energy optimization. Her research bridges theoretical modeling with practical implementation, contributing significantly to advancing sustainable building technologies. Scientific Awards: Gold Medal from President of Republic of Poland for Long Service for the Country (2013) Best Scientific Achievements award from Rector of Warsaw University of Technology (2012) Pioneer of Renewable Energy award by World Renewable Energy Network (2008) Promoter of Renewable Energy award by Clean Energy magazine (2006) Throughout her career, Professor Chwieduk has actively contributed to national and international energy policy development, serving on numerous expert committees and leading significant research projects focused on renewable energy integration and building energy efficiency. Her work has influenced both academic research and practical implementation of sustainable building technologies in Poland and internationally.

Łukasz Szabłowskiمشاهده پروفایل

دانشیار

• Distributed energy systems
• Energy storage
• Artificial neural networks applications
• +۶ مورد دیگر

Łukasz Szabłowski is a habilitated doctor (dr hab. inż.) and academic researcher at the Institute of Heat Engineering (ITC) of Warsaw University of Technology , working within the Department of Power Machinery and Equipment at the Faculty of Mechanical Engineering, Power and Aerospace Engineering. He serves as an Editor and Journal Manager for the Journal of Power Technologies and actively contributes to the academic community through research, teaching, and supervision of student projects. Dr. Szabłowski's research focuses on distributed energy systems, energy storage technologies, and the application of artificial intelligence in energy management . His work spans multiple aspects of modern energy systems including Compressed Air Energy Storage (CAES) , Liquid Air Energy Storage (LAES) , hydrogen energy systems , and mathematical modeling of energy conversion processes . He has developed expertise in exergy analysis of energy systems and the application of artificial neural networks for control strategies in distributed generation units. His research addresses critical challenges in integrating renewable energy sources, improving energy efficiency, and developing innovative storage solutions for modern power systems. His most recent publications demonstrate a strong focus on advanced energy storage technologies and intelligent control systems . The 2023 habilitation monograph represents a comprehensive analysis of mathematical modeling and energy/exergy assessment of compressed air energy storage systems. His work in 2018-2020 expanded into comparative analysis of different storage technologies, neural network applications for fuel cell control, and dynamic modeling of solar heating plants with seasonal storage. These publications consistently appear in high-impact journals such as Energy , Renewable Energy , and the International Journal of Hydrogen Energy , reflecting the significance and quality of his research contributions. Dr. Szabłowski actively supervises student projects with topics including hydrogen-powered gas turbines , combined cycle systems , CAES and LAES energy storage , steam reforming processes , and artificial neural network applications in energy systems. He utilizes advanced simulation tools including GateCycle , Aspen HYSYS , Matlab , and MS Excel with PPIE for his research and teaching activities. His work bridges theoretical analysis with practical applications in modern energy systems, contributing significantly to the development of sustainable energy technologies in Poland and internationally.

• Computational Chemistry
• Molecular Modeling
• Structural Biology
• +۵ مورد دیگر

Dr. Magdalena Ślusarz serves as an Adjunct Professor in the Department of Theoretical Chemistry at the Faculty of Chemistry, University of Gdańsk. Her research focuses on computational approaches to structural biology problems, particularly in viral immunomodulation and receptor-ligand interactions. Her research interests span computational chemistry , molecular modeling of protein structures , and structural analysis of viral immune evasion mechanisms . She specializes in applying molecular dynamics simulations, NMR spectroscopy data interpretation, and UNRES force field methodologies to study herpesvirus proteins (particularly UL49.5), opioid receptor interactions, and vasopressin receptor systems. Her work bridges theoretical chemistry with biomedical applications including viral pathogenesis and neuropharmacology. Analysis of her recent publications reveals a strong focus on herpesvirus immunomodulation mechanisms (2023-2024), particularly how viral proteins hijack cellular degradation pathways. Earlier work demonstrates expertise in computational structural biology methodologies including UNRES force field development for membrane proteins (2019) and protein structure prediction (2016-2020). Her research consistently applies molecular modeling to solve biomedical problems ranging from viral immune evasion to neuropharmacology. Dr. Ślusarz maintains active research in the Laboratory of Molecular Modeling at the University of Gdańsk, where she applies computational approaches to protein structure-function relationships. Her work involves collaborations across international research teams, particularly evident in large-scale projects like the WeFold consortium for protein structure prediction.

• Mechanical Engineering
• Thermal Engineering
• Materials Science
• +۳ مورد دیگر

Piotr Koniorczyk is a full professor at the Military University of Technology, specializing in mechanical engineering and thermal sciences. His research focuses on thermophysical properties of materials, heat transfer in engineering systems, and advanced materials for aerospace and defense applications. He has published over 91 articles and supervised 12 promoted theses, demonstrating expertise in topics such as thermal analysis of metals, composite materials, and thermal management systems. His work includes studies on steel barrel heat transfer in firearms, thermophysical properties of tool steels, and passive cooling solutions for high-power electronics. Notable projects involve numerical simulations of heat transfer in rocket engines and gun barrels, as well as investigations into phase-change materials for thermal energy storage. His research has contributed to advancements in materials science, thermal engineering, and aerospace technology.

Bartosz Grzybowskiمشاهده پروفایل

استاد مدعو

• Artificial Intelligence in Chemistry
• Computer-Assisted Organic Synthesis
• Reaction Network Analysis
• +۳ مورد دیگر

Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.

• Biomedical Engineering
• Voice Analysis
• Artificial Intelligence
• +۵ مورد دیگر

Daria Hemmerling , PhD, Eng., is a Lecturer at the Department of Metrology and Electronics under the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. Her research focuses on the intersection of biomedical engineering, voice analysis, and artificial intelligence, particularly for neurological and cardiovascular disease diagnostics. Research Interests : Applying mixed reality and AI for Parkinson’s disease assessment Voice/speech biomarkers for heart failure and neurodegenerative disorders Deep learning techniques in medical imaging (e.g., skull segmentation/reconstruction) Haptic feedback systems for multisensory interaction Simulation training in electrophysiology education Unsupervised learning and modality translation in biomedical signal processing Scientific Trends : Her recent work emphasizes multimodal diagnostic systems integrating voice analysis, VR/MR visualization, and deep learning. She explores explainable AI for medical classification tasks, data augmentation strategies, and innovative haptic/gamification interfaces.