جستجوی استاد راهنمای دانشگاهی

• Decision Support Systems
• Operations Research
• Machine Learning
• +۳ مورد دیگر

Konrad Kułakowski is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His research spans multiple domains including decision support systems, operations research, and robotics, with a focus on pairwise comparisons methods and their applications in optimization problems and automated systems. Affiliation: AGH University of Science and Technology School: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Applied Informatics His research interests center on improving accuracy and resilience in pairwise comparisons methods, detecting manipulation in decision-making processes, and optimizing path planning for automated guided vehicles (AGVs) in constrained environments. His work bridges theoretical advancements in decision analysis with practical applications in robotics, real-time systems, and biomedical engineering. Key trends in his recent publications include: Advancements in heuristic algorithms for pairwise comparisons matrices Applications of Monte Carlo simulations for method validation Path planning optimization for AGVs in irregular layouts Detection of manipulation in peer assessment frameworks Resilient aggregation techniques for secure judgments in AHP

• Magnetorheological Fluids
• Automotive Suspension Systems
• Smart Materials
• +۷ مورد دیگر

Prof. Janusz Paweł Gołdasz is a faculty member at the Department of Automation and Computer Science within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. His research focuses on magnetorheological (MR) fluids , automotive suspension systems , smart materials , and control systems , with significant contributions to MR damper design and fluid behavior analysis. Key Research Areas: Magnetorheological Fluids, Automotive Engineering, Smart Materials, Control Systems Recent Work: Advances in MR damper modeling, gradient pinch mode characterization, and frequency-dependent suspension systems His publications include studies on MR fluid sealing structures , capsule robotics , and magnetic hysteresis reconstruction , reflecting interdisciplinary applications in mechanical and medical engineering.

• Power Systems
• Electrical Engineering
• Power Electronics
• +۵ مورد دیگر

Bartosz Rozegnał is a Lecturer and currently serves as Vice-Dean for Student Affairs at the Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Cracow University of Technology. His academic career demonstrates significant engagement in both research and administrative responsibilities within the electrical engineering field. Dr. Rozegnał's research interests focus on critical areas of modern power systems: Power Systems Analysis and Optimization Soft Switching Technologies in Power Electronics Short Circuit Analysis and Protection Systems Voltage Source Inverters and Control Systems Power Loss Analysis in Electrical Networks Transient State Analysis in Electrical Systems His publication record reveals a consistent trajectory of advancing power electronics and power system technologies. The trend in his recent work shows increasing sophistication in soft switching techniques for voltage source inverters, analysis of transient states in power systems, and optimization of power flow and protection systems. His research bridges theoretical analysis with practical applications in power distribution and conversion, with significant contributions to understanding harmonic impacts on power losses and developing novel circuit protection solutions. Dr. Rozegnał has established himself as a productive researcher in electrical engineering, with numerous publications in reputable journals including Energies and IEEE Transactions on Power Electronics. His work is characterized by technical depth and practical relevance to modern power systems challenges, addressing issues ranging from fundamental circuit theory to complex system dynamics in power networks.

• Multiobjective Optimization
• Evolutionary Algorithms
• Combinatorial Optimization
• +۳ مورد دیگر

Professor Andrzej Jaszkiewicz is a faculty member at the Faculty of Computer Science and Telecommunications, Poznań University of Technology, where he works in the Institute of Informatics. He holds the position of full professor with extensive experience in multiobjective optimization and evolutionary algorithms, as evidenced by his habilitation completed in 2001 and continuous research output through 2025. Professor Jaszkiewicz's research focuses on theoretical and practical aspects of multiobjective optimization, particularly addressing the challenges of many-objective problems. His work spans quality indicator development (hypervolume, R2), efficient data structures (ND-Trees), evolutionary algorithm design, and applications to combinatorial optimization problems. His publications demonstrate consistent theoretical rigor combined with practical implementation considerations. Recent publications (2022-2025) reveal continued productivity with multiple articles in top journals like IEEE Transactions on Evolutionary Computation and Physics of Fluids. These works explore theoretical properties of quality indicators, efficient calculation methods, and novel applications of optimization techniques to complex problems including fluid dynamics. Professor Jaszkiewicz has supervised doctoral research including Tarek Alkhaeir's 2021 dissertation on software quality metrics and Marek Kubiak's 2009 work on memetic algorithms. He has also reviewed numerous doctoral dissertations in related fields, demonstrating his standing in the academic community and commitment to graduate education. His scholarly output includes journal articles, conference papers, book chapters, and two books. The 2005 edited volume 'Advanced OR and AI methods in transportation' reflects his interest in practical applications of optimization techniques. His research demonstrates sustained scholarly activity from the 1990s to the present, with particular emphasis on advancing the state-of-the-art in multiobjective optimization theory and practice.

Tomasz Białaszewskiمشاهده پروفایل

استادیار

• Evolutionary Multi-Objective Optimization
• Genetic Algorithms
• Decision Systems
• +۲ مورد دیگر

Dr. Tomasz Białaszewski serves as an Assistant Professor at Gdańsk University of Technology within the Department of Decision Systems and Robotics, Faculty of Electronics, Telecommunications and Informatics. He holds the position of Deputy Head of Department and maintains his office in Building A of the faculty. His research focuses on evolutionary multi-objective optimization, particularly developing quality criteria for highly dimensional optimization problems. Dr. Białaszewski has pioneered innovative approaches using genetic gender concepts to solve complex multi-objective optimization challenges. His work bridges theoretical computational methods with practical applications in decision systems and robotics. Analysis of his recent publications reveals consistent contributions to evolutionary computation methodologies, with particular emphasis on improving evaluation metrics for multi-objective optimization in high-dimensional spaces. His research demonstrates increasing sophistication in handling complex optimization problems through novel algorithmic approaches. Dr. Białaszewski maintains active research collaboration, primarily with Z. Kowalczuk, as evidenced by co-authored publications. His work contributes significantly to advancing computational optimization techniques within the academic community.

Stanisław Szczepańskiمشاهده پروفایل

استاد

• Antenna Design
• Microelectronics
• Machine Learning Applications
• +۳ مورد دیگر

Prof. Stanisław Szczepański is a Professor at the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research focuses on advanced antenna design, microelectronics, and the application of machine learning in electronic systems. His primary research interests include: Antenna Design and Optimization Frequency Reconfigurable Antenna Systems Machine Learning Applications in Electronic Design CMOS Sensor Development Wireless Communication Systems Microfluidic Technologies for Electronics Prof. Szczepański's recent publications demonstrate a strong focus on integrating machine learning techniques with traditional antenna design methodologies. His work spans from highly miniaturized frequency reconfigurable antennas to advanced slot antenna arrays operating at millimeter-wave frequencies. A significant portion of his research involves optimizing antenna parameters using artificial intelligence approaches to overcome computational limitations of electromagnetic simulations. Prof. Szczepański has led multiple research projects funded through the OPUS program, including: CMOS sensor with smart grid of pixels of layered structure for fast acquisition and simultaneous extraction of information from image (UMO-2016/23/B/ST7/03733) Mikroelektroniczny system wizyjny CMOS do endoskopii kapsułkowe z bezprzewodową transmisją danych i mocy zasilającej (UMO-2011/03/B/ST7/03547) He collaborates extensively with Prof. Sławomir Kozieł on projects related to antenna design and optimization, serving as co-investigator on projects focused on unsupervised specification-driven design of antenna structures and rapid quasi-global optimization of high-frequency components.

Anna Sobieraj-Żłobińskaمشاهده پروفایل

استادیار

• Geodesy
• Remote Sensing
• 3D Data Processing
• +۳ مورد دیگر

Dr. Anna Sobieraj-Żłobińska serves as an Assistant Professor in the Department of Geodesy within the Faculty of Civil and Environmental Engineering at Gdańsk University of Technology. Her academic work focuses on advanced geospatial technologies and their practical applications in critical infrastructure management. Her research spans LiDAR technology optimization , 3D spatial modeling , and disaster management systems . Key contributions include developing microsimulation frameworks for stadium evacuation planning, creating modified threat detection methods for historic structures, and pioneering down-sampling techniques for large geospatial datasets. Her work bridges theoretical geodesy with real-world safety applications in public infrastructure and cultural heritage preservation. Recent publications reveal a clear trajectory from foundational data processing methods (2019 OptD-MULTI optimization) toward increasingly applied research, culminating in the 2025 stadium evacuation modeling study. Her work consistently addresses big data challenges in geospatial contexts while maintaining focus on practical safety outcomes for public spaces and historic structures. No scientific awards are documented in available sources. Her departmental involvement includes participation in the GINA project (Green Infrastructure in Urban Areas) through the Department of Geodesy, though she is not listed as project manager.

Radosław Idzikowskiمشاهده پروفایل

پژوهشگر

• Optimization
• Quantum Computing
• Task Scheduling
• +۴ مورد دیگر

Radosław Idzikowski is a researcher at Wrocław University of Science and Technology, specializing in distributed intelligence and computational optimization. His work intersects quantum computing, parallel programming, and artificial intelligence, with a focus on solving complex problems like task scheduling and vehicle routing. He holds a Doctor of Engineering (Dr. Eng.) degree and maintains active academic engagement through lectures and consultations. His contact email is radoslaw.idzikowski@pwr.edu.pl , and he holds office hours on Thursdays from 11:00 to 13:00 in room 231A, building C-3, at Janiszewskiego 7 Street, Wrocław.