جست‌وجوی استاد و پژوهشگر

Piotr Sankowskiمشاهده پروفایل

استاد

• Algorithms
• Machine Learning
• Graph Theory
• +۵ 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.

Katarzyna Pernalمشاهده پروفایل

استاد

• Chemistry
• Physics
• Quantum Mechanics
• +۴ 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.

• Topological Dynamical Systems
• Ergodic Theory
• Classical and Quantum Stochastic Processes
• +۳ مورد دیگر

Artur Siemaszko is a Professor in the Faculty of Mathematics and Computer Science at the University of Warmia and Mazury in Olsztyn. He serves as a promoter for doctoral candidates and specializes in topological dynamical systems, ergodic theory, and classical/quantum stochastic processes. Department: Department of Analysis and Differential Equations Email: artur@uwm.edu.pl Research Interests: Topological Dynamical Systems Ergodic Theory Classical and Quantum Stochastic Processes Group Theory (Modular Groups) Scientific Contributions: His research spans integrability in geometric structures, spectral quantization of random walks, and the interplay between algebraic and topological properties in dynamical systems. Articles highlight applications in mathematical physics, computer science, and epidemiology. Grants & Resources: He confirms funding availability and infrastructure support for doctoral projects through the Department of Analysis and Differential Equations.

Tytus Pikiesمشاهده پروفایل

استادیار

• Scheduling Algorithms
• Graph Theory
• Operations Research
• +۳ مورد دیگر

Dr. Tytus Pikies is an Assistant Professor at the Department of Algorithms and Modeling Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research focuses on theoretical aspects of computer science, particularly in the domain of scheduling algorithms and graph theory applications. Dr. Pikies' research interests span across several areas of theoretical computer science and operations research: Scheduling algorithms for parallel computing systems Graph theory applications in job scheduling Complexity analysis of scheduling problems Optimization techniques for machine scheduling Incompatibility relations modeling using graph structures Approximation algorithms for NP-hard scheduling problems His recent publications demonstrate a consistent research trajectory in scheduling theory, with particular emphasis on problems involving incompatibility constraints between jobs. Dr. Pikies has made significant contributions to understanding scheduling problems where jobs have compatibility constraints modeled as various graph structures including block graphs, bipartite graphs, and complete multipartite graphs. Dr. Pikies has received recognition for his work in theoretical computer science, with publications appearing in reputable journals such as Computers & Operations Research and Artificial Intelligence. His research bridges theoretical computer science with practical applications in parallel computing systems. He collaborates with other researchers in the field, including H. Furmańczyk, K. Turowski, and M. Kubale, contributing to the advancement of scheduling theory and its applications.

• Wireless Sensor Networks
• Computer Networks
• Data Security
• +۳ مورد دیگر

Maciej Gębala is affiliated with the Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology, where he holds a position in the Department of Computer Science Fundamentals . His research focuses on wireless sensor networks, ad hoc networks, data security, and energy-efficient communication systems. He has contributed to projects such as the POIG-funded monograph on measurement data acquisition and storage, and has edited conference proceedings like ADHOC-NOW 2013. His work spans technical areas including fault-tolerant protocols, GDPR-compliant reputation systems, broadcast scheduling, and algorithm design for routing and data protection. He has published extensively in international conferences and journals, addressing challenges in network optimization, energy consumption, and image reconstruction from projections. Dr. Gębala's expertise also extends to radio communication management and network topology planning, with contributions to UTRAN systems and 3D reconstruction algorithms for polyominoes. No specific grants or awards are listed in the provided information.

Andrzej Okolewskiمشاهده پروفایل

دانشیار

• Financial Mathematics
• Actuarial Science
• Risk Management
• +۳ مورد دیگر

Dr. Andrzej Okolewski is an Associate Professor in the Division of Insurance and Capital Markets at Lodz University of Technology's Faculty of Technical Physics, Information Technology and Applied Mathematics. His research bridges pure mathematics and financial applications. Mathematical investigations focus on: Fractal geometry and iterated function systems Topological properties of function spaces Fixed point theorems and metric space theory Lineability and spaceability in functional analysis Applied work addresses mathematical foundations of insurance, risk assessment, and capital market modeling. Recent publications examine attractor topologies in generalized iterated function systems and structural properties of Orlicz spaces.

Olha Matsyiمشاهده پروفایل

استادیار

• Operations Research
• Mathematical Optimization
• Computer Science
• +۳ مورد دیگر

Olha Matsyi serves as an Assistant Professor (post-doc) within the Division of Applications of Contemporary Mathematical Analysis at Lodz University of Technology, with contact details including email olha.matsyi@p.lodz.pl and phone (+48) 42 631-36-17. Her research focuses on Operations Research and Mathematical Optimization, specializing in combinatorial algorithms for location theory, knapsack problems, community detection, and VLSI routing. She employs metaheuristic and bio-inspired methods to solve NP-hard optimization challenges, bridging theoretical mathematics with engineering applications in healthcare logistics and crisis management. Publications from 2020-2025 demonstrate increasing emphasis on real-world implementations like mobile medical service optimization and decision support systems, alongside theoretical advances in continuous coverage and constrained classification. Collaborative work with researchers such as Oksana Pichugina highlights her interdisciplinary approach to algorithm design. No scientific awards were documented. Information regarding student mentorship, research grants, or specific laboratory teams was not provided in the source material.

Piotr Kaczmarekمشاهده پروفایل

استاد مدعو

• Adaptive Control
• Building Automation
• Energy Efficiency
• +۳ مورد دیگر

Dr. Eng. Piotr Kaczmarek is an Adjunct Professor at Gdańsk University of Technology's Faculty of Electronics, Telecommunications, and Informatics (WETI), where he serves as Vice-Dean for Education (since 2024), Deputy Head of the Department of Signals and Systems (since 2023), and Dean's Representative for Energy Efficiency and Internships in Automation, Cybernetics, and Robotics. His academic career includes roles as Assistant Professor (2007–2008) and Adjunct Professor (since 2008). Education: Gdańsk University of Technology: PhD in Electronics (2008) Postgraduate Studies in IT Management Systems at SGH Warsaw School of Economics (2006) European Master's in Control and Management of Lean Manufacturing (2000) Research Interests: Focuses on adaptive control, identification of non-stationary processes, and energy-efficient building automation. Key areas include time-varying systems identification, signal processing algorithms, and optimization techniques for heating systems. Active in developing control strategies for condensing boilers and energy-efficient automation. Publications: Recent work includes advancements in Savitzky-Golay filter applications, fast time-varying communication channel identification, and noncausal system identification methods. His research bridges theoretical signal processing with practical energy-saving solutions for buildings. Labs/Teams: Leads research in the Department of Signals and Systems, collaborating on projects involving adaptive notch filters, system identification, and remote education tools.

• Multi-scale mathematical modeling
• Numerical methods in heat transfer
• Phase change phenomena
• +۵ مورد دیگر

Prof. Jerzy Banaszek is a distinguished academic at Warsaw University of Technology, serving as Deputy Director of the Institute of Heat Engineering (1996-2005), Dean of the Faculty of Power & Aeronautical Engineering (2008-2016), and current Senate member (since 2008). He leads the Senate Committee for Education and contributes to space technology as Rector’s Proxy. Key research areas: Multi-scale modeling, phase change materials, energy systems Teaching: Advanced Thermodynamics, Energy Transport, Numerical Methods His 15 most recent publications focus on phase change modeling, finite element methods, and thermal energy systems. Notable projects include collaborations with European Space Agency and Irish Research Committees. Scientific Awards : Golden Cross of Merit (2004) Knight's Cross of Order of Rebirth (2017) Multiple Rector's Awards (1985-2019) Polish Academy of Sciences recognition

• Mathematical Modeling
• Integral Equations
• Numerical Analysis
• +۳ مورد دیگر

Dr. Paweł Wójcik serves as an Assistant Professor in the Department of Mathematical Modeling at the Institute of Mathematics, Informatics and Landscape Architecture, Faculty of Natural and Technical Sciences, John Paul II Catholic University of Lublin. His academic work centers on advanced mathematical modeling and numerical analysis of singular integral equations. Research Focus: Specializing in singular integral equations with Cauchy kernels and conjugation, Dr. Wójcik develops approximation methods for equations in bounded function spaces, H* classes, and Euclidean planes. His contributions advance computational techniques in applied mathematics, particularly for dominant singular equations and multiplicative kernel systems. Publication Trends: Between 2012-2022, he published consistently in high-impact journals including Ukrainian Mathematical Journal and Computational Methods in Applied Mathematics , demonstrating sustained expertise in numerical solutions for complex integral equations without deviation into unrelated fields. Awards Recognition: No scientific awards, fellowships, or medals are documented in the provided materials. Academic Mentorship: Supervising over 30 bachelor's theses (2021-2025) and master's theses (2017), his students developed Android/iOS applications for diet tracking and room management, implemented graph algorithms, and explored mathematical theory including Riemann boundary problems and singular equation approximations.

• Numerical Analysis
• Fractional Differential Equations
• Spectral Methods
• +۳ مورد دیگر

Dr. Eid Hassan Doha is a Professor at Cairo University's Faculty of Science, renowned for his contributions to numerical analysis, fractional differential equations, and spectral methods. His research focuses on advanced mathematical techniques for solving complex nonlinear and fractional differential equations, with recent work on variable-order fractional models and time-fractional delay equations. Key Affiliations: Cairo University, King Abdulaziz University Funding: National Research Foundation, National Science Foundation, European Commission, Bill & Melinda Gates Foundation, National Natural Science Foundation of China Research Interests: Numerical Analysis, Fractional Calculus, Spectral Methods, and Computational Mathematics. His work bridges theoretical advancements with practical applications in science and engineering. Publication Trends: Over 46 years, he has published 145 papers with a high impact factor (avg 3.8). His 2023 papers emphasize spectral collocation methods for fractional equations, while earlier work explores hyperbolic systems and astrophysical models. Grants & Collaborations: Supported by global institutions like the European Commission, National Science Foundation, and DAAD, reflecting his international influence and collaborative approach in applied mathematics.

Andrzej Kużelewskiمشاهده پروفایل

پژوهشگر

• Boundary Value Problems
• Parametric Integral Equations (PURC)
• Structural Mechanics
• +۶ مورد دیگر

Dr. Andrzej Kużelewski is a researcher at the Faculty of Computer Science, University of Bialystok , specializing in computational methods for engineering simulations and network technologies. His work bridges mathematical modeling with practical applications in structural analysis and cybersecurity. Discipline: Technical computer science and telecommunications Projects: 'What am I doing here?' (PLN 53,570 funding) Research Focus Modeling boundary value problems using Parametric Integral Equations System (PURC), enabling analysis of structural strength, deformations, stresses, and heat/fluid flow Adaptation of PIES for domains with curvilinear/polygonal boundaries and uncertain data Network administration, cybersecurity, and 'smart basket' hardware solutions for retail Publications demonstrate expertise in accelerating computational methods (FMM, binary trees) and handling imprecise data in simulations. Key journals include Advances in Engineering Software and Computer Methods in Applied Mechanics and Engineering . Expert Roles Evaluator for NCBiR and PARP (KIS 10/12 fields) Innovation Coach for SMEs under STEP instrument Scientific application reviewer for Montenegro's Ministry of Science

• Optimization
• Metaheuristic Methods
• Constrained Optimization
• +۳ مورد دیگر

Wojciech Rafajłowicz is a Professor in the Department of Control Systems and Mechatronics at Wrocław University of Science and Technology's Faculty of Information and Communication Technology. His research focuses on optimization techniques, optimal control, image processing, and embedded systems development. Academic Rank: Professor University: Wrocław University of Science and Technology His recent publications demonstrate a strong focus on developing advanced mathematical and machine learning techniques for signal classification, medical image analysis, and industrial process optimization. Key trends include the application of Bezier-Durrmeyer descriptors for curve classification, shape-preserving autoencoders for data reconstruction, and multi-objective optimization approaches in pandemic mitigation. Notable research contributions include: Medical imaging analysis methods for bleeding detection Adaptive thresholding techniques in industrial control systems Functional data representation using Bernstein polynomials Vibration analysis for structural health monitoring Current work emphasizes the intersection of control theory, machine learning, and practical applications in mechatronics and industrial safety.

Jacek Cichoszمشاهده پروفایل

پژوهشگر

• System Identification
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Jacek Cichosz is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology , specializing in the Department of Systems and Computer Networks . Holding a PhD, he focuses on system identification, biomedical engineering, and signal processing applications. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Systems and Computer Networks His research spans system identification , medical imaging analysis , and fuzzy logic applications in diagnostics , particularly for laryngeal pathology and ECG interpretation. He has developed educational tools like the CARDIO system and contributed to computer-aided diagnosis frameworks. Recent publications highlight trends in recursive identification , image analysis , and fuzzy rule-based diagnostic systems , with interdisciplinary applications in healthcare and computer science. Keywords include system identification , medical imaging , and biomedical signal processing . Contact: jacek.cichosz@pwr.edu.pl

• Multi-Criteria Decision Making
• Operations Research
• Optimization Algorithms
• +۵ مورد دیگر

Grzegorz Filcek is a Researcher at the Department of Computer Science and Systems Engineering , Faculty of Information and Communication Technology , Wrocław University of Science and Technology, Poland. His work focuses on multi-criteria optimization , evolutionary algorithms , and scheduling with applications in transportation systems , logistics , and industrial automation . Email: grzegorz.filcek@pwr.edu.pl Office: Building C-3, Room 14, Janiszewskiego 11/17, 50-372 Wrocław His research spans multi-criteria decision-making , location-scheduling integration , and transportation network optimization . Recent work includes frameworks for Pareto optimal solutions in MIP and rescheduling trains under track closures . He also explores evolutionary computation for freight parking planning and carpooling systems . Key trends in his publications include multi-criteria optimization (2019-2024), evolutionary algorithms (2020-2021), and transportation/logistics applications (2016-2023). His work often combines mathematical programming with real-world problem-solving in supply chains , railways , and emergency power systems .