جستجوی استاد راهنمای دانشگاهی

• 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.

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 .

• Condensed Matter Physics

Jacek Tarasiuk is a university professor at the Faculty of Physics and Applied Computer Science of AGH University of Science and Technology in Kraków, Poland. He works within the Department of Condensed Matter Physics and can be contacted via email at tarasiuk@agh.edu.pl or reached at his office in room 317, D-10 building, ul. Reymonta 19. Research Focus: Condensed Matter Physics

Paweł Pilarczykمشاهده پروفایل

دانشیار

• dynamical systems
• computational topology
• rigorous numerics
• +۲ مورد دیگر

Paweł Pilarczyk is an Associate Professor at the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology, where he has been employed since 2018. His research spans multiple mathematical disciplines with applications across various scientific fields. Dr. Pilarczyk's research interests include dynamical systems , computational topology , rigorous numerics , and applications of advanced computational techniques . His work bridges theoretical mathematics with practical applications in neuroscience, cardiology, ecology, and epidemiology. Analyzing his publication record from 2025 back to 2007 reveals a consistent focus on rigorous mathematical approaches to understanding complex systems. His recent work shows increasing interdisciplinary applications, particularly in medical diagnostics (sleep apnea detection, heart rate variability analysis) and neuroscience (neuron modeling), while maintaining strong foundations in pure dynamical systems theory. As project manager for the OPUS-funded "Topological and numerical methods in dynamical systems" (since 2022), he leads significant research initiatives at the Department of Differential Equations and Mathematical Applications. Dr. Pilarczyk maintains an active research program with collaborators across multiple institutions, evidenced by his extensive publication record and research data sets available through Gdańsk Tech's Bridge of Knowledge platform.

Mirosław Filiciakمشاهده پروفایل

استاد

• Media Studies
• Cultural Studies
• Digital Culture
• +۵ مورد دیگر

Prof. Mirosław Filiciak is a Professor at SWPS University, serving as Director of the Institute of Humanities and Head of the Department of Culture and Media at the Faculty of Humanities in Warsaw. His research focuses on digital media’s impact on cultural participation, with expertise in media practices, media archaeology, and cultural studies. He leads the Center for Cultural Technology Research and collaborates with institutions like the Copernicus Science Centre and international consortia such as COST GRADE (exploring digital Europe’s grassroots origins). He has authored influential books, including Take Mr. Rambo! A Social History of Video Recorders in Poland (2022), and co-created projects like Kultura 2.0 and Poland’s first Medialab. His work spans research on smartphone culture, digital heritage, and Polish computer game history. He teaches new media, pop culture, and audiovisual culture, and holds leadership roles in academic journals like Kultura Popularna . Awarded the New Europe 100 and recognized for his book on VHS culture, Filiciak advises on cultural policy and contributes to projects like the National Programme for the Development of Humanities. His interdisciplinary research bridges technology, activism, and cultural history, shaping contemporary media discourse.

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.

• Computer Vision
• Robotics
• Human-Computer Interaction
• +۴ مورد دیگر

Włodzimierz Kasprzak is a Professor at the Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology. His research focuses on computer vision, robotics, human-computer interaction, and machine learning. He has contributed to advancements in human action classification, skeleton-based feature analysis, and multimodal interface design. Research Highlights: Development of lightweight classification models for human actions in video using skeleton-based features. Advances in multi-stream fusion techniques for image and video analysis. Design of embodied agent systems for cybersecurity event visualization and control. Awards and Recognition: 2024: Individual First Class Rector's Award for Scientific Achievements (2022-2023) 2021: Medal of the Commission of National Education 2011: Golden Cross of Merit His work integrates theoretical contributions with practical applications in robotics, surveillance systems, and human-centered technologies.

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.

Jacek Banasiakمشاهده پروفایل

استاد

• Mathematical Modeling
• Population Dynamics
• Fragmentation-Coagulation Processes
• +۵ مورد دیگر

Professor Jacek Banasiak holds a prestigious DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria, Department of Mathematics and Applied Mathematics. He also maintains strong academic ties with Lodz University of Technology in Poland where he serves as a research professor in the Department of Mathematical Modeling. His career spans several decades with extensive contributions to mathematical modeling, particularly in population dynamics, fragmentation-coagulation processes, and epidemiological modeling. Professor Banasiak's research interests center on mathematical modeling of biological and physical processes, with particular expertise in singular perturbation theory, semigroup theory, and transport equations on networks. His work bridges theoretical mathematics with practical applications in epidemiology, ecology, and population biology. He has developed sophisticated mathematical frameworks for understanding fragmentation-coagulation phenomena, malaria transmission dynamics, and savanna ecosystem modeling. His publication record shows a consistent trajectory of high-impact research, with recent work focusing on climate-based malaria models, multiscale epidemiological systems, and mathematical analysis of growth-fragmentation equations. His publications appear in top-tier journals across mathematical analysis, epidemiology, and mathematical biology fields, demonstrating the interdisciplinary nature of his work. DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering Author of numerous influential publications spanning from 1984 to 2025 Editor of special issues and author of several books including 'Introduction to Mathematical Methods in Population Theory' (2025) Professor Banasiak has supervised over 15 PhD students, many of whom have gone on to successful academic careers. His mentoring spans topics including fragmentation-coagulation with transport effects, telegraph systems on networks, and mathematical modeling of malaria transmission. His research has attracted significant funding, particularly through his SARChI Chair position which supports advanced mathematical research in biosciences and bioengineering.

• 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.

• Signal Processing
• Electronics
• Biomedical Engineering
• +۵ مورد دیگر

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

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.

• Information and Communication Technology (ICT)
• Cybersecurity
• Computational Linguistics
• +۳ مورد دیگر

Marek Wiśniewski is a Lecturer at the University of Maria Curie-Skłodowska , affiliated with the Faculty of Mathematics, Physics and Computer Science and the Department of Cybersecurity and Computational Linguistics . His research focuses on Information and Communication Technology (ICT) , particularly in areas like Cybersecurity and Computational Linguistics . Consultations are held on Mondays from 11:00 a.m. to 1:00 p.m. at the Institute of Computer Science, Room D413, or remotely via MS Teams by prior email arrangement. Contact him directly at marek.wisniewski@mail.umcs.pl .

• 3D Light Measurement
• Optical Shape
• Structured Light
• +۷ مورد دیگر

Robert Sitnik is a Professor and Dean of the Faculty of Mechatronics at Warsaw University of Technology, where he is affiliated with The Institute of Micromechanics and Photonics. He earned his Doctorate in 2002 and has established himself as a leading researcher in 3D optical measurement techniques and applications. His research focuses on 3D light measurement, optical shape analysis, structured light techniques, and 3D data processing with applications spanning cultural heritage documentation and medical imaging. As the leader of the 3D/4D Optical Surface Measurement Team, he has pioneered innovative approaches to surface measurement and documentation. His work demonstrates strong interdisciplinary connections between mechanical engineering, computer vision, and practical applications in both cultural preservation and healthcare. His research has led to significant advancements in 3D scanning technologies, particularly for human body analysis and cultural heritage conservation. His publications reveal a consistent research trajectory focused on improving accuracy, efficiency, and applicability of 3D measurement systems. His scientific impact is evidenced by 159 publications, an h-index of 18 in Scopus and 17 in Web of Science, and 103 promoted theses. His research has been supported by 22 projects, resulting in 1 patent and substantial contributions to both academic knowledge and practical applications. As an academic leader, he has supervised numerous students and researchers, contributing significantly to the development of expertise in optical measurement technologies. His work bridges theoretical research with real-world applications in medical diagnostics, cultural heritage preservation, and industrial measurement systems.

• nuclear physics
• bound states of the eta meson
• kaon atoms
• +۵ مورد دیگر

Dr. hab. Magdalena Skurzok is an Associate Professor at Jagiellonian University in Krakow, Poland, affiliated with the Faculty of Physics, Astronomy and Applied Computer Science. She conducts research in nuclear physics with a focus on exotic nuclear matter, particularly mesic nuclei and mesonic atoms. Her work bridges fundamental particle physics with practical medical applications through advanced detector systems including the J-PET scanner and SIDDHARTA-2 apparatus. Her educational background includes: Habilitation thesis: "Investigation of exotic nuclear matter in the form of mesic nuclei and mesonic atoms" (2024) Doctoral thesis: "Search for eta-mesic helium via dd -> 3Henpi0 reaction by means of the WASA-at-COSY facility" (2016) Diploma thesis: "Feasibility study of eta-mesic nuclei production by means of the WASA-at-COSY and COSY-TOF facilities" (2010) Dr. Skurzok's research primarily focuses on nuclear physics, particularly the investigation of exotic nuclear matter in the form of mesic nuclei and mesonic atoms. Her work explores the bound states of the eta meson with light atomic nuclei and kaon atoms, contributing to our understanding of strong interactions in nuclear systems. She is also involved in PET tomography research, developing novel imaging techniques with applications in medical diagnostics. Her experimental work utilizes advanced detector systems including the J-PET scanner and the SIDDHARTA-2 apparatus at the DAFNE collider. Analysis of Dr. Skurzok's recent publications reveals a strong focus on kaonic atoms research, precision X-ray spectroscopy, and PET imaging technology development. Her work bridges fundamental nuclear physics with practical medical applications, particularly in brain imaging and cancer diagnostics. The interdisciplinary nature of her research connects particle physics, nuclear spectroscopy, and medical imaging technologies. Dr. Skurzok is actively involved in several major research collaborations: SIDDHARTA-2 experiment at DAFNE collider for kaonic atoms research J-PET collaboration developing novel PET imaging technology AMADEUS experiment investigating low-energy K- interactions with nuclei WASA-at-COSY facility for mesic nuclei research Her laboratory work primarily involves the SIDDHARTA-2 apparatus for X-ray spectroscopy of kaonic atoms and the J-PET scanner for positron emission tomography. These advanced detector systems enable precision measurements of exotic nuclear phenomena and innovative medical imaging applications. Dr. Skurzok's research group collaborates extensively with international institutions including CERN, GSI, and various European research centers.