جستجوی استاد راهنمای دانشگاهی

• 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.

Adam Woźniakمشاهده پروفایل

استاد

• Coordinate Metrology
• Mechanical Engineering
• Quality Engineering
• +۵ مورد دیگر

Adam Woźniak is a Professor and Vice-Rector for Development at Warsaw University of Technology (WUT), holding positions at the Faculty of Mechatronics and the Institute of Metrology and Biomedical Engineering. He earned a PhD in 2002, D.Sc. (habilitation) in 2011, and was promoted to full professor in 2017. His research focuses on advanced geometrical measurement techniques, coordinate metrology, quality engineering, and reliability of mechatronic systems. He has authored 2 books and over 130 scientific publications, including work on probing accuracy, X-ray CT applications, and dynamic error analysis in manufacturing systems. Notably, he served as Director of the Institute of Metrology and Biomedical Engineering (2012–2020) and later as Dean of the Faculty of Mechatronics (2020). He received the Polish Prime Minister’s Prize for Scientific Achievements (2012) and multiple scholarships from the Foundation for Polish Science. Education: PhD (2002), D.Sc. (2011), Warsaw University of Technology; Visiting Professor at École Polytechnique de Montréal (2005–2006). Research interests include coordinate measuring machine (CMM) performance, probing system accuracy, and industrial CT applications. His work addresses dynamic error identification, probe error compensation, and precision measurement techniques. Recent projects involve high-density point cloud correction, scanning probe validation, and pediatric growth measurement systems. His articles analyze topics like probe reliability, CNC machine tool errors, and X-ray CT threshold optimization. Awards also include recognition for leadership in standardization bodies, including roles in Poland’s Council for Metrology and Standardization. He has supervised 6 PhD students and numerous master’s candidates, contributing to over a dozen funded research projects. His lab, the Virtual Manufacturing Research Laboratory, integrates metrology, mechatronics, and biomedical engineering for advanced measurement solutions.

• Geomorphology
• Geomorphometry
• Geoinformatics
• +۶ مورد دیگر

Leszek Ludwik Gawrysiak is a Professor at the Department of Geology, Soil Science, and Geoinformatics , affiliated with the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University in Lublin, Poland. His academic career includes habilitation in Earth and Environmental Sciences (2019), a PhD in Geomorphology (2003), and a master’s in Physical Geography (1993), all from UMCS. Education: Master’s in Physical Geography (1993), UMCS PhD in Geomorphology (2003), UMCS Habilitation in Earth and Environmental Sciences (2019), UMCS His research focuses on Geomorphology , Geomorphometry , and Geoinformatics , with applications in Loess Erosion , Gully Dynamics , and Environmental Risk Assessment . He employs GIS, LiDAR, and remote sensing techniques to analyze terrain segmentation, forest cover changes, and geomorphological impacts on land use planning. Projects include studies on extreme meteorological events, geopark development, and Polish-Belarusian-Ukrainian water policy in the Bug River basin. Recent publications emphasize Loess Landscapes , Proglacial Valley Morphology , and Gully Erosion , with methodological advancements in Digital Terrain Modeling and Geomorphon Analysis . His work bridges computational methods (e.g., GPU-accelerated topographic parameter evaluation) with field-based geomorphological studies in Svalbard and Eastern Europe. Scientific Awards: Award from the Polish Geomorphological Society for best PhD thesis (2002) Team Award from the Rector of UMCS (2010) Individual Award from the Rector of UMCS (2013) He has contributed to understanding Loess Area Geomorphodiversity , Forest Cover Dynamics , and Climate Change Impacts on landscapes. His collaborations span interdisciplinary studies in gully erosion, geotourism, and Holocene soil erosion rates. Contact: leszek.gawrysiak@mail.umcs.pl | Phone: +48 81 537 68 71

• 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.

Somnath Ghoshمشاهده پروفایل

استاد

• Computational Mechanics
• Multiscale Modeling
• Integrated Computational Materials Engineering (ICME)
• +۶ مورد دیگر

Somnath Ghosh is the Michael G. Callas Chair Professor at Johns Hopkins University, holding joint appointments in the Departments of Civil & Systems Engineering, Mechanical Engineering, and Materials Science & Engineering. He directs the Computational Mechanics Research Laboratory (CMRL) and founded the Center for Integrated Structure-Materials Modeling and Simulations (CISMMS). His research focuses on multiscale computational mechanics, materials science, and integrated computational materials engineering (ICME). Key areas include additive manufacturing, fatigue and fracture mechanics, machine learning, and uncertainty quantification. Education includes a B.Tech. from IIT Kharagpur, M.S. from Cornell University, and Ph.D. from the University of Michigan. Ghosh has led major initiatives like NASA’s Space Technology Research Institute for Additive Manufacturing (IMQCAM) and the Air Force-funded Center of Excellence in Integrated Materials Modeling (CEIMM). He has authored over 300 peer-reviewed publications, three books, and is a Fellow of multiple societies, including the AAAS, ASME, and TMS. Award highlights include the Theodore von Karman Medal (2025), J.N. Reddy Medal (2024), and Nathan M. Newmark Medal (2013). His work bridges theory and industry applications in aerospace, automotive, and defense sectors. Labs under his leadership (CMRL and CISMMS) develop digital twins and advanced modeling tools for materials qualification and design.

Jacob Fishمشاهده پروفایل

استاد

• Computational Mechanics
• Multiscale Modeling
• Structural Engineering
• +۳ مورد دیگر

Jacob Fish holds the Rosalind and John J. Redfern Jr. Chair in Engineering at Columbia University's Department of Civil Engineering and Engineering Mechanics within the Fu Foundation School of Engineering and Applied Science. His research program focuses on computational mechanics and multiscale modeling with applications across material science and structural engineering. His research interests center on developing advanced computational frameworks for multiscale analysis of heterogeneous materials. Key areas include computational continua, atomistic-to-continuum coupling, fracture mechanics of composites, and thermomechanical modeling of advanced materials. His work bridges theoretical developments with practical engineering applications through reduced-order modeling and data-physics integration. His recent publications demonstrate strong trends in multiscale computational engineering, particularly in homogenization techniques, phase-field fracture modeling, and data-driven approaches for material behavior prediction. The research spans from atomistic simulations to structural-scale analysis with emphasis on computational efficiency and physical fidelity. Fellow, U.S. Association for Computational Mechanics (USACM) Computational Structural Mechanics Award, 2005 Fellow, International Association for Computational Mechanics (IACM), 2002 National Science Foundation Presidential Young Investigator Award, 1992 Walter P. Murphy Fellowship, Northwestern University, 1986 Fish serves as Editor-in-Chief of the International Journal for Multiscale Computational Engineering and has secured numerous research grants focused on multiscale modeling of advanced materials. His collaborative network spans multiple institutions and disciplines, particularly in computational mechanics and material science. His laboratory develops computational frameworks for multiscale analysis with applications in structural engineering, material science, and biomechanics, focusing on efficient algorithms for complex material behavior prediction.

Lukasz Mezykمشاهده پروفایل

پژوهشگر

• Rocket Propulsion
• Spacecraft Design
• Thermal Decomposition
• +۴ مورد دیگر

Lukasz Mezyk is a researcher at the Division of Aircraft Engines , Institute of Heat Engineering, Warsaw University of Technology. He specializes in advanced propulsion systems for spacecraft with a focus on resistojet and cold gas thrusters. Email: lukasz.mezyk@pw.edu.pl Room: 303 Professional Membership: Polish Combustion Institute, Space Technology Projects Expert Research Focus : Dr. Mezyk's work centers on: Resistojet thruster development Green propellant technologies Thermal decomposition of hydrogen peroxide Spacecraft attitude control systems Supercapacitor-powered propulsion Microgravity robotics propulsion Publication Trends : His recent work emphasizes resistojet optimization using supercapacitors and green monopropellants, with significant contributions to thermal decomposition mechanisms and spacecraft robotics applications. Awards : I degree Team Award for organisational achievements (2018) Teaching : He instructs courses on astronautics, rocket propulsion, and spacecraft design, while supervising numerous diploma theses and serving on academic committees. Organizational Roles : Dr. Mezyk serves as secretary of diploma exams and contributes to training programs for space technology projects, including satellite design phases and propulsion systems education.

• Heat Transfer
• Refrigeration Technology
• Energy Efficiency in Buildings
• +۳ مورد دیگر

Artur Rusowicz is a Professor at the Faculty of Power and Aeronautical Engineering , Warsaw University of Technology , specializing in the Department of Refrigeration and Building Energy . His research focuses on heat and mass transfer in refrigeration systems, free cooling technologies, plasma coatings, and entropy generation minimization in thermal systems. Key Roles: Prodziekan ds. ogólnych (since 2016), former advisor for the Student Scientific Association of Refrigeration Engineers (until 2017), Editor-in-Chief of Chłodnictwo magazine, and expert for the International Institute of Refrigeration (IIR) in Paris. Projects: Led national and international research on refrigeration, heat recovery, and plasma waste destruction, including grants from KBN, MNiSW, and Warsaw Technology Incubator. Scientific Contributions: Authored 15+ publications in leading journals like Energy , Thermal Science , and Przemysł Chemiczny , addressing thermal optimization, refrigeration cycles, and sustainable energy systems. 2020: Optimized microjet cooling systems for data centers using CFD. 2019: Refrigerant selection for Organic Rankine Cycles with environmental impact analysis. 2017: Thermoacoustic refrigeration performance evaluation. Awards: Recipient of the Rector's Award (II Class) for scientific achievements (2017, 2012) , Golden SIMP Medal (2014) , and Bronze Medal for Long Service (2012) . Also recognized for mentorship in student thesis competitions. Editorial & Organizational Roles: Served as Editor-in-Chief of Chłodnictwo , head of Warsaw SIMP Refrigeration and Air Conditioning Section, and expert in numerous scientific committees.

• Meteorology
• Numerical Methods
• Remote Sensing
• +۵ مورد دیگر

Ireneusz Winnicki is a **Full Professor** at the **Military University of Technology**, affiliated with the **Faculty of Civil Engineering, Geodesy and Transport**. His research focuses on **meteorological modeling**, **numerical methods**, **remote sensing**, and **applied mathematics**, with applications in transport safety and environmental monitoring. **Research Interests**: He specializes in advanced numerical techniques for solving nonlinear systems (e.g., Newton’s method), high-order differential equation modeling (Beam–Warming, Lax-Wendroff), and radar-based precipitation intensity analysis. His work integrates atmospheric dynamics, image processing (Laplace contour filters), and parallel computing for weather forecasting and hazard prediction. **Collaborations and Impact**: He has extensive collaborations, notably with **Sławomir Pietrek** (14 joint publications). His research addresses critical challenges like frontogenesis/frontolysis modeling, MODIS satellite data analysis for visibility prediction, and urban development cartography in protected areas. **Awards and Recognition**: No scientific awards are explicitly mentioned in the provided texts. **Advising and Grants**: No advised students or specific grants are listed, though his work suggests involvement in research projects related to meteorological radar systems and numerical modeling.

Tadeusz Więckowskiمشاهده پروفایل

استاد

• Electromagnetic Compatibility
• Antenna Theory
• Radio Wave Propagation
• +۶ مورد دیگر

Tadeusz Więckowski is a Professor and Head of the Department of Telecommunications and Teleinformatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work bridges advanced electromagnetic theory with practical telecommunications systems. His research interests include: Electromagnetic Compatibility (EMC) of devices and systems Antenna theory and design Radio wave propagation Radiocommunication systems Gyrotron and microwave source technologies Testing methodologies for EMC infrastructure The recent publications highlight a strong focus on high-frequency electromagnetic systems, particularly gyrotrons for spectroscopy and electromagnetic compatibility testing. His work spans both theoretical modeling and experimental validation, with applications in telecommunications, broadcasting (e.g., DAB), and scientific instrumentation. There is also engagement with modern topics such as IoT testing, intrusion detection, and neural networks for document verification, indicating interdisciplinary reach. Tadeusz Więckowski leads the Department of Telecommunications and Teleinformatics, which is involved in the operation of the Laboratory for Electromagnetic Compatibility. This infrastructure supports advanced research in signal integrity and system compatibility.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۸ مورد دیگر

Jarosław Wąs is a Professor and Head of the Department of Applied Informatics at the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków, Poland. His academic leadership extends to governance roles including the Senate, Faculty College, and Disciplinary Council for Technical Information Technology and Telecommunications. His research spans Artificial Intelligence, Machine Learning, and Data Mining with core expertise in Rough Sets theory. He develops computational models for crowd simulation and pedestrian dynamics critical for evacuation planning, and applies deep learning to renewable energy forecasting and health trajectory prediction. His work bridges theoretical computer science with practical applications in energy systems, healthcare analytics, and cosmic physics. Analysis of his 2023-2025 publications reveals interdisciplinary convergence: Rough Sets combined with cellular automata for crowd modeling, transformer networks for electronic medical records, and hybrid deep learning approaches for renewable energy forecasting. Key trends include zero-shot learning in healthcare, anomaly detection in cosmic data, and data-driven evacuation simulation with social group dynamics. No scientific awards are mentioned in available sources. Information regarding student advising and research grants is not provided in the source material. No laboratory or research team affiliations are specified in the available documentation.

• Logic
• Computability Theory
• Lambda Calculus
• +۳ مورد دیگر

Marek Zaionc is a Professor at the Faculty of Mathematics and Computer Science, Jagiellonian University in Kraków, Poland. He specializes in theoretical computer science, logic, and computability theory. His research focuses on asymptotic properties of logical systems, lambda calculus, and the quantitative analysis of fuzzy logics. He has held visiting positions at institutions including the University of Alabama (USA), University of Buffalo (USA), and Université de Versailles (France). Education and Career: PhD in Mathematics, University of Warsaw (1985) Habilitation, Jagiellonian University (1993) Professor of Mathematical Sciences, Jagiellonian University (2003) Deputy Dean of Faculty of Mathematics and Computer Science (2002–2003) Research Interests: Asymptotic probability in logic and computability Typed lambda calculus and functional programming Quantitative studies of fuzzy logics and non-classical logics Combinatorial analysis of logical terms and structures Grants and Projects: NCN Grant (2019–2023): Investigating asymptotic equivalence in set theories NCBR Grant (2014–2017): Asymptotic methods in lambda calculus and combinatory logic Narodowe Centrum Badań (2010–2013): Quantitative studies in logic and computation Awards and Recognition: While no specific awards are listed, his extensive publications and leadership roles reflect significant contributions to theoretical computer science and logic. Labs and Teams: Active contributor to the Algorithmics Research Group and Foundations of Computer Science initiatives at Jagiellonian University.

• Fuel Cells
• Energy Systems
• CO2 Capture Technologies
• +۳ مورد دیگر

Dr. Jarosław Milewski is a researcher at the Institute of Heat Engineering , Faculty of Mechanical Energy and Aviation, Warsaw University of Technology. His work focuses on advanced energy technologies with particular emphasis on fuel cells, CO2 capture, and hybrid power systems. Research Interests: Fuel cell system modeling (MCFC/SOFC) Hybrid energy conversion technologies CO2 capture and utilization Thermal energy storage optimization Computational fluid dynamics applications Decentralized energy systems Scientific Recognition: Laureate of "Naukowcy dla gospodarki Mazowsza" (2012) Minister's scholarship for young scientists (2011) Multiple Rector's Awards (2004-2009)

Michela Tauferمشاهده پروفایل

دانشیار

• Heterogeneous Computing
• Cloud Computing
• Volunteer Computing
• +۴ مورد دیگر

Michela Taufer is the David L and Beverly JC Mills Chair of Computer and Information Sciences and an Associate Professor at the University of Delaware. She earned her Masters degrees in Computer Engineering from the University of Padova (Italy) and her doctoral degree in Computer Science from the Swiss Federal Institute of Technology (Switzerland). Her research interests include scientific applications and their advanced programmability in heterogeneous computing (i.e. multi-core and many-core platforms, GPUs); performance analysis; modeling and optimization of multi-scale applications on heterogeneous computing; cloud computing and volunteer computing; numerical reproducibility and stability of large-scale simulations on multi-core platforms; and big data analytics and MapReduce. Dr. Taufer has published research on protein folding, molecular dynamics, and workflow execution on cloud and grid platforms. Her work often focuses on performance characterization and optimization of scientific applications on distributed and parallel systems. From 2003 to 2004 she was a La Jolla Interfaces in Science Training Program (LJIS) Postdoctoral Fellow at the University of California San Diego (UCSD) and The Scripps Research Institute (TSRI) From 2005 to 2007, she was an Assistant Professor at the Computer Science Department of the University of Texas at El Paso (UTEP) She joined the University of Delaware in 2007 as an Assistant Professor and was promoted to Associate Professor with tenure in 2012

Agnieszka Jędrzejewskaمشاهده پروفایل

پژوهشگر

• Structural Engineering
• Concrete Technology
• Sustainability in Civil Engineering
• +۳ مورد دیگر

Agnieszka Jędrzejewska is a researcher at the Department of Structural Engineering , Faculty of Civil Engineering , Silesian University of Technology , Poland. She specializes in the analysis of cracking in concrete structures due to thermal, shrinkage, and imposed strains, with a focus on sustainability and robustness of cement-based materials. Research Interests : Thermal cracking, early-age concrete behavior, sustainable materials (e.g., self-healing concrete, 3D-printed mortar), numerical modeling, crack prevention techniques. Awards : Recipient of the Scientific Award of the 4th Division of the Polish Academy of Sciences (2024) for her series of works on 'Cracking of Special Structures Under the Action of Imposed Deformations.' Her recent publications highlight interdisciplinary approaches to improving concrete sustainability (e.g., alccofine 1203, GGBS, kaolin) and advancing computational models for crack prediction. She contributes to standardization efforts (e.g., prEN 1992-1-1) and collaborates on international projects (e.g., RILEM TC 287-CCS, COST TU1404).