جستجوی استاد راهنمای دانشگاهی

Professor Emanuel Gull is a theoretical physicist specializing in numerical methods for quantum many-body systems. He holds a professorship at the University of Warsaw's Faculty of Physics, where he relocated his laboratory from the University of Michigan to conduct research under an ERC Advanced Grant. His work focuses on predictive algorithms for simulating quantum materials, integrating quantum field theory, condensed matter theory, quantum Monte Carlo methods, applied mathematics, and machine learning. This interdisciplinary approach addresses phenomena like magnetism and superconductivity in materials critical to technologies such as MRI machines and electric car batteries. Professor Gull's ERC Advanced Grant, the first awarded to a foreign researcher hosted at the University of Warsaw, underscores the significance of his project. Collaborating with the Quantum Molecular Systems group at the Faculty, his methods support experimental advancements in ultracold matter research. His research aligns with the University's strategic focus on cutting-edge interdisciplinary science. His achievements include the prestigious ERC Advanced Grant, highlighting global recognition of his contributions. The project’s relocation of his laboratory reflects Warsaw's growing role as a hub for quantum research. Grants and institutional support from the University of Warsaw's BMPB office further enable his work, emphasizing collaboration and innovation. Professor Gull's research lab, now based in Warsaw, bridges theoretical and applied physics, fostering advancements in quantum technologies. His work exemplifies the intersection of fundamental science and technological application, with direct implications for energy storage and medical imaging technologies.

• Quantum Physics
• Condensed Matter Physics
• Theoretical Physics
• +۴ مورد دیگر

Wesam Bachir, PhD, is an Assistant Professor at the Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology (Politechnika Warszawska). His expertise lies at the intersection of biomedical engineering, laser spectroscopy, and optical diagnostics for medical applications. Research Interests Dr Bachir’s core research areas include: Biomedical optics & spectroscopy: developing diffuse reflectance and transmittance methods for non-invasive monitoring of tissue oxygenation, hemodynamics, and vital signs. Laser-tissue interaction & photodynamic therapy: optimizing light dosimetry, photosensitizer selection, and treatment planning for breast and skin cancers. Optical phantoms & Monte Carlo modeling: creating tissue-mimicking phantoms from everyday materials (milk, intralipid, India ink) and validating optical properties through advanced simulations. Smartphone-based sensing: leveraging mobile devices and their built-in light sources for point-of-care photoplethysmography and respiratory monitoring. Publication Trends Across 36 peer-reviewed publications (h-index 6 Scopus, 5 WoS), Dr Bachir demonstrates a consistent upward trajectory in both clinical translation and fundamental optical modeling. His 2024–2025 papers emphasize AI-enhanced spectroscopy and ultra-short-term physiological monitoring, while earlier work (2019–2022) concentrated on Monte Carlo algorithms for PDT planning and phantom characterization. The portfolio spans experimental validation, computational modeling, and proof-of-concept clinical studies. Supervision & Grants He has successfully supervised four doctoral theses to completion and currently leads or co-leads three active research projects funded by national and international agencies, focusing on non-contact respiratory monitoring, AI-driven spectral diagnostics, and optimized fiber-coupled light delivery for photodynamic therapy. Laboratory & Collaboration Dr Bachir’s laboratory is embedded within the Institute of Metrology and Biomedical Engineering, providing access to state-of-the-art laser sources, integrating sphere systems, and high-resolution spectrometers. He collaborates extensively with clinicians at local medical centers and maintains active partnerships with research groups in Europe and the Middle East to accelerate technology transfer from bench to bedside.

• Biomedical Engineering
• Laser Spectroscopy
• Diffuse Reflectance Spectroscopy
• +۷ مورد دیگر

Maciej Staszak is a Researcher at the Department of Process Engineering , Faculty of Chemical Technology , Poznań University of Technology . He holds a PhD in Engineering (2001) and specializes in process modeling, reactor design, and computational fluid dynamics (CFD). His work spans chemical, environmental, and biomedical engineering, with a focus on adsorption kinetics, membrane technologies, and AI-driven simulations. Research Interests: Process Modeling Reactor and Heat Exchanger Design Finite Element/Volume Methods Bisphenol A Removal via Enzymatic Immobilization Microplastic Mitigation in Microencapsulation Photocatalytic Surfactant Degradation Scientific Collaboration: Staszak collaborates internationally with institutions such as CERENA (Portugal), Chemistry Technology Center of Catalonia (Spain), and Eurecat (Spain). He has co-authored 38 scientific articles, 20 book chapters, and 3 academic textbooks, including Fundamentals of Chemical Technology and Reactor Engineering (Parts I & II). Academic Contributions: His recent publications (2024–2023) highlight advancements in chitosan-based biomaterials for dentistry, microchannel thermofluid simulations, and machine learning applications for reaction kinetics. He serves as a WTCh eLearning Coordinator and contributes to interdisciplinary projects bridging chemical engineering with biomedical and environmental applications.

• Chemical Engineering
• Process Modeling
• Reactor Design
• +۵ مورد دیگر

Krzysztof Komendarek-Tymendorf is an Associate Professor of Viola and Chamber Music at the Stanisław Moniuszko Academy of Music in Gdańsk and the Feliks Nowowiejski Academy of Music in Bydgoszcz. He holds a PhD and habilitation, specializing in viola performance and contemporary music interpretation. His academic career began at age 24 after winning assistant professor competitions. He has performed globally with major orchestras like the National Philharmonic, Gdańsk Baltic Opera, and international festivals including Berliner Philharmonie and Vienna Konzerthaus. He completed postgraduate studies in Culture Management and MBA at Adam Mickiewicz University. Notable awards include the Bronze Medal for Merit to Culture (Gloria Artis), Opus Klassik nomination, and Fryderyk Award recognition. His discography includes acclaimed albums like ReVIOLAtion (NAXOS) and Quantum of Silence (ODRADEK). As an educator, he teaches at three institutions and mentors over 40 students, many of whom hold positions in leading orchestras and music schools. He actively engages in masterclasses across Europe and North America, and leads initiatives like the EURO Chamber Music Festival. His research focuses on Baroque to contemporary viola repertoire, with publications in the Journal of the American Viola Society.

• Classical Music
• Chamber Music
• Viola Performance
• +۳ مورد دیگر

Katarzyna Rycerz is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. She holds the academic rank of Lecturer as part of the assistant professors group, with her office located at D-17, ul. Kawiory 21, room II, 3.54. Her research spans quantum computing, hybrid quantum-classical algorithms, and distributed systems, with significant contributions to workflow scheduling and complex network optimization. Dr. Rycerz's primary research focuses on quantum optimization techniques, particularly quantum annealing and variational algorithms applied to combinatorial problems. Her work bridges theoretical quantum computing with practical high-performance computing challenges, including load rebalancing in HPC systems and community detection in complex networks. She has developed software tools like QHyper for hybrid quantum-classical optimization and explored quantum solutions for thermoelectric properties in graphene and quantum game theory paradoxes. Her 15 most recent publications (2019-2025) reveal a dominant trend toward quantum-classical hybrid methods, with 80% focused on quantum annealing applications for workflow scheduling, network analysis, and optimization problems. Key themes include D-Wave system implementations, quantum game theory extensions, and thermoelectric material simulations, demonstrating a consistent shift from earlier multiscale simulation work toward cutting-edge quantum computing applications. No scientific awards are documented in the available information. Details regarding student advising, research grants, laboratory affiliations, or collaborative teams are not provided in the source materials.

• Quantum Computing
• Hybrid Quantum-Classical Algorithms
• Workflow Scheduling
• +۳ مورد دیگر

Dr. Pei-Xin Shen serves as an MSCA-ERA Postdoctoral Fellow at the International Centre for Interfacing Magnetism and Superconductivity with Topological Matter (MagTop), hosted by the Institute of Physics, Polish Academy of Sciences in Warsaw. Since July 2024, he has coordinated the SymPhysAI project under the Marie Skłodowska-Curie Actions framework, advancing quantum computing applications through artificial intelligence. His academic foundation includes: Bachelor of Science in Astronomy (2017) from Xiamen University, where he received the Pen-Tung Sah Scholarship and was named Outstanding Graduate Doctor of Philosophy in Physics (2022) from Tsinghua University under Turing Award Laureate Prof. Andrew Chi-Chih Yao Dr. Shen specializes in quantum information science, with research spanning topological quantum computing architectures, quantum machine learning algorithms, and open quantum system dynamics. His work bridges theoretical physics and computational innovation, focusing on harnessing topological matter for fault-tolerant quantum computation. His accolades reflect both scholarly and civic excellence: Early-career recognition: National Scholarship and National Endeavor Scholarship (2014-2016) Doctoral achievements: Talent Scholarship (2021) and SPICE Workshop Best Question Prize (2020) Undergraduate honors: Star of Chinese College Students (2017) and Social Welfare Prize (2020) Funded by the Marie Skłodowska-Curie Actions ERA Fellowship, his current SymPhysAI initiative develops AI-driven physics simulations within MagTop's collaborative research ecosystem. Though not mentoring formal advisees, he contributes to MagTop's mission of integrating magnetism, superconductivity, and topological matter for next-generation quantum technologies. His research methodology combines quantum information theory with computational approaches, evidenced by publications in Physical Review series, Quantum Science and Technology, and astronomical journals during his transition from stellar evolution studies at McMaster University (2016) to quantum physics.

• Quantum Computing
• Topological Quantum Computing
• Quantum Machine Learning
• +۳ مورد دیگر

Prof. Piotr Białas is a Professor of Physical Sciences and Director of the Institute of Applied Informatics at Jagiellonian University. He holds a habilitation in physics from the same institution and has served as department head and faculty member since 1993. His research focuses on GPU programming, multi-core processor optimization, and theoretical physics areas like simplicial gravity and quantum chromodynamics on networks. He has supervised over three doctoral and dozens of master's theses. Current projects include GPU acceleration for medical imaging (J-PET tomograph) and real-time FPGA-based data processing. Education: PhD in Physics (1993), MSc in Physics (1990) from Jagiellonian University. Academic roles include membership in the Academic Council of Technical Informatics and Complex Systems Commission at Polish Academy of Arts and Sciences. Invited professorships at universities in Amsterdam, Bielefeld, Barcelona, and Saclay. Specializes in CUDA optimization, parallel computing, and medical imaging algorithms.

• GPU Programming
• Multi-Core Processors
• Statistical Mechanics
• +۵ مورد دیگر

Demian Banakh is affiliated with the Department of Algorithmics at the Faculty of Mathematics and Computer Science, Jagiellonian University. His research focuses on quantum computing and computational complexity, as evidenced by his work on quantum CSP strategies and hardness conditions for promise constraint satisfaction problems (PCSPs). He completed a Master's thesis titled "Dichotomies for Boolean minions of weighted-sum functions with threshold." Banakh is part of the Algorithmics Research Group and collaborates with researchers like Marcin Kozik. His publications appear in prestigious conferences such as IEEE Symposium on Logic in Computer Science (LICS). He is involved in academic administration, contributing to technical infrastructure (e.g., university WiFi access management) and maintaining departmental resources. Contact details include room 3148 at the department, though an explicit email address is not provided in the text.

• Quantum Computing
• Computational Complexity
• Theoretical Computer Science
• +۳ مورد دیگر

Prof. Dr. hab., Eng. Sebastian Borucki is a full-time faculty member at the Opole University of Technology , serving as a Professor in the Department of Electrical Power Engineering and Renewable Energy under the Faculty of Electrical Engineering, Automation and Computer Science. Contact: s.borucki@po.edu.pl | Room P-202, Building 2 Office Hours: Tuesdays, 9:10-9:55 AM & 11:00 AM-11:45 PM His research focuses on power transformer diagnostics , acoustic emission methods , and partial discharge detection . He integrates machine learning and vibroacoustic signal analysis to monitor transformer health and optimize maintenance strategies. Recent publications highlight trends in: Transformer diagnostics via acoustic and vibroacoustic methods Machine learning application for partial discharge classification Renewable energy integration with power systems Signal processing for industrial and power engineering Comparative analysis of tap-changer operations Thermal and mechanical parameter testing He contributes to practical applications such as the TrafoGrade asset management system and vibroacoustic noise reduction strategies.

• Electrical Power Engineering
• Renewable Energy
• Transformer Diagnostics
• +۵ مورد دیگر

Piotr Ablewski is an Assistant Professor at the Department of Applied Informatics , Institute of Technical Sciences , within the Faculty of Physics, Astronomy and Applied Computer Science at Nicolaus Copernicus University. His research focuses on optical atomic clocks, precision metrology, and dark matter detection through global clock networks. Research Areas: Optical clocks, spectroscopy, quantum metrology, dark matter detection, frequency standards, and atmospheric science. Key Collaborations: Member of the "Biophysics at the Nanoscale" research team. Participates in multi-center work on clock development and dark matter studies. Publications: 31 documented publications with a total impact factor of 33,493 and ministerial score of 577. Instrumentation: Works on VIPA spectrometer calibration, frequency comb spectroscopy, and fiber-optic time/frequency delivery systems. Email: piotra@umk.pl

• Optical Atomic Clocks
• Metrology
• Spectroscopy
• +۶ مورد دیگر

Prof. Tomasz Szarek is a faculty member at Gdańsk University of Technology, holding the rank of Professor in the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics. His office is located in Building B, Room 509. His research focuses on mathematical structures in dynamical systems and probability theory, with specialization in: Transformation groups (circle/interval homeomorphisms) Stochastic properties of Markov operators Invariant measures in random dynamical systems Limit theorems for random processes Quantum state geometry Publications (2017-2023) demonstrate consistent focus on theoretical aspects of dynamical systems and probability, with recent work emphasizing distortion phenomena in transformation groups, invariant measure characterization, and statistical limit theorems. Earlier research includes quantum information applications. He currently leads the OPUS-funded project: Groups of Manifold Transformations: dynamical and probabilistic point of view (active since 2023).

• Dynamical Systems
• Probability Theory
• Mathematical Physics
• +۴ مورد دیگر

Piotr Sankowski is a Professor at the Institute of Informatics, University of Warsaw, specializing in algorithms and theoretical computer science with applications in economics and machine learning. He is also CEO of MIM Solutions, deploying ML solutions, and heads the IDEAS NCBR center for AI and Digital Economy. His research focuses on algorithm design, computational complexity, and interdisciplinary applications in physics and economics. Education & Affiliations: Professor at University of Warsaw's Faculty of Mathematics, Informatics, and Mechanics (MIM) Head of IDEAS NCBR Center (Artificial Intelligence & Digital Economy) CEO of MIM Solutions (AI/ML consulting) Research Interests: Piotr's work bridges theoretical computer science and practical applications, with key areas: Algorithms for matching problems, graph theory, and optimization Machine learning explainability and feature importance Quantum tunneling phenomena in semiconductor nanostructures (physics) Algorithmic game theory and network design His ERC grants highlight contributions to algorithmic foundations and interdisciplinary research. Grants & Awards: ERC Starting (2010), Proof of Concept (2015), and Consolidator (2017) Grants First Pole to secure three ERC grants Fellow of the Institute of Informatics at University of Warsaw Publications: Over 80 papers spanning CS (algorithms, ML) and physics (solid-state theory). Recent work focuses on online algorithms, dynamic graph problems, and scalable ML systems. Labs & Projects: Leads the IGAFIT initiative promoting algorithms in Europe, and the EXALT project for explainable optimization tools. Active in the IDEAS NCBR center for AI innovation.

• Algorithms
• Machine Learning
• Graph Theory
• +۵ مورد دیگر

Prof. Wojciech Bożejko is a Professor at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His research focuses on optimization algorithms, scheduling theory, and quantum computing applications in discrete optimization problems. He has contributed extensively to the development of metaheuristics for solving complex scheduling challenges, including cyclic job shop, flow shop, and single-machine scheduling under probabilistic or uncertain conditions. Notably, his recent work explores quantum annealing techniques on D-Wave systems for tackling knapsack problems and flow shop scheduling. Prof. Bożejko has also co-edited special issues on discrete systems and authored over 50 peer-reviewed articles in journals like *Computers & Industrial Engineering* and *Archives of Control Sciences*. His methodologies emphasize parallel computing approaches to enhance solution efficiency. Research Interests: - Quantum Computing Applications in Optimization - Metaheuristic Algorithms (Tabu Search, Simulated Annealing) - Cyclic and Flow Shop Scheduling - Stochastic and Robust Scheduling - Parallel Computing for Discrete Optimization Advising & Grants: While no specific grants or advisees are listed, his research outputs indicate significant contributions to collaborative projects in scheduling optimization and quantum computing applications. His work often involves interdisciplinary collaborations, such as with the Wrocław Centre for Networking and Supercomputing. Labs/Teams: Affiliated with the Department of Control Systems and Mechatronics, contributing to research groups focused on automation, discrete systems, and advanced optimization techniques.

• Operations Research
• Quantum Computing
• Optimization Algorithms
• +۳ مورد دیگر

Katarzyna Pernal is a Professor at the Institute of Physics, University of Lodz , specializing in theoretical and computational chemistry with a focus on quantum mechanics and electronic structure calculations. Her research intersects physics and chemistry, targeting advanced methods for modeling molecular systems. Key research areas include: Quantum chemistry and electronic structure theory Development of correlation functionals for active space methods Adiabatic connection approaches in computational physics Quantum algorithms for chemical problems Recent publications highlight collaborations with researchers in quantum computing (e.g., Variational Quantum Eigensolver ) and on-surface synthesis of organic molecules (e.g., tridecacene ground states ). She utilizes high-performance computing (HPC Cluster) at her institution for complex simulations. Her work spans interdisciplinary applications in materials science, condensed matter physics, and computational chemistry.

• Chemistry
• Physics
• Quantum Mechanics
• +۴ مورد دیگر

Professor Gabriel Wlazłowski is a University Professor at the Department of Physics, Warsaw University of Technology. His primary affiliation is with the Physics School/College, where he leads research into strongly correlated Fermi systems. He is actively involved in high-performance computing (HPC) projects utilizing supercomputers like Summit (USA) and Piz Daint (Switzerland). Research focuses on superconductivity/superfluidity in nuclear systems and ultra-cold atoms, including studies of phase transitions, quantum turbulence, and vortex dynamics. His work bridges nuclear astrophysics (neutron star crust dynamics) with cold atom physics, leveraging cutting-edge numerical methods like auxiliary-field quantum Monte Carlo simulations. Grant leadership includes PRACE Tier-0 grants (2017-2020) and multiple National Science Center grants in Poland (2005-present). Current research (2023-2025) explores quantum turbulence in strongly correlated systems and vortex dynamics in fermionic superfluids. Key contributions include discoveries of solitonic excitations in nuclear collisions, vortex pinning mechanisms in neutron stars, and computational models explaining superfluid behavior near unitary limits. His work frequently intersects nuclear physics, condensed matter theory, and computational science.

• Theoretical Physics
• Strongly Correlated Fermi Systems
• Superconductivity/Superfluidity
• +۴ مورد دیگر