Alicja Anuszkiewicz, D.Sc., is an Associate Professor at the Institute of Electronic Systems within the Faculty of Electronics and Information Technology at Warsaw University of Technology (PW). With 35 publications, 6 projects, and 1 patent, her work focuses on optics, fiber Bragg gratings (FBG), birefringence engineering , and sensor development . Her research spans nanostructured optical fibers , mode-division multiplexing , and medical/photonics applications . Academic Rank: Associate Professor Email: alicja.anuszkiewicz@pw.edu.pl Consultations: Mondays 14:15–15:15 Research Highlights : Developed numerical tools for FBG spectral analysis in few-mode fibers. Engineered nanostructured ZEBRA fibers for polarization-insensitive sensors. Optimized weakly-coupled few-mode fibers for telecommunications systems. Created 3D-printed mechanical elements with embedded FBG sensors. The tag cloud derived from her work includes optoelectronics, UV radiation, fiber optic sensors , and graded index optics . Her bibliometric indices (h-index: 7, Total CiteScore: 111.2) reflect significant impact in automation, electronics, and space technologies .
Dr. Krzysztof Billewicz serves as an Assistant Professor in the Department of Computer Science and Systems Engineering at the Faculty of Computer Science and Telecommunications, Wroclaw University of Science and Technology. Based in building C-3, room 122, he maintains active teaching responsibilities with consultation hours during the winter semester 2023/24 on Mondays (9:00-11:00) and Tuesdays (18:35-20:35, remote). His research spans the critical intersection of electrical engineering, energy policy, and human factors, with primary focus areas including smart grid development, electricity theft detection, building energy efficiency, and the psychological impacts of electrical systems. Work addresses Poland-specific energy challenges such as coal phase-out transitions, urban heat island effects, and grid modernization imperatives, demonstrating consistent interdisciplinary engagement between technical power systems analysis and socio-technical dimensions of energy infrastructure. Analysis of his 2016-2023 publications reveals evolving emphasis from foundational smart grid technologies toward integrated societal considerations. Key trends include methodological innovation in theft detection using consumption anomalies, critical assessment of policy impacts during energy transitions, and pioneering exploration of psychological dimensions in energy systems – establishing a distinctive research profile that bridges engineering rigor with human-centered perspectives in the Polish energy landscape. Scientific awards: No specific awards, fellowships, or medals were documented in available sources. Regarding academic mentoring, no information was provided about doctoral or master's students supervised. Similarly, details of research grants secured or laboratory affiliations were not mentioned in source materials, indicating primary focus on independent scholarly publication within the departmental framework.
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.
Tomasz Lerch serves as a Lecturer in the Department of Power Electronics and Automation of Energy Conversion Systems at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków. He actively participates in the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies. His research spans power electronics, renewable energy integration, and electrical machine design with emphasis on grid stability and power quality. Key interests include grid-tied converter systems, islanding detection methods for distributed generation, permanent magnet motor optimization (particularly transverse flux and cogging machines), and power quality analysis in modern LED lighting and photovoltaic installations. His methodological approach frequently combines electromagnetic modeling with experimental validation. Analysis of his 2021-2025 publications reveals consistent focus on renewable energy grid integration challenges. Dominant themes include rapid voltage fluctuation compensation using hardware-in-the-loop techniques, hybrid islanding detection combining phasor measurement units with artificial intelligence, and thermal/power density optimization in novel motor designs. His work demonstrates strong industry relevance through experimental validation of control algorithms for grid-connected systems.
Dr. Uday Venkatadri is a Professor and Department Head in the Department of Industrial Engineering at Dalhousie University in Halifax, Nova Scotia, Canada. He has been teaching at Dalhousie University since July 2001, progressing from Assistant Professor (2001-2006) to Associate Professor (2006-2019) and finally to Professor (2019-present). His extensive experience includes prior roles as a Lead Architect for supply chain planning products at Baan and as a Research Associate at Université Laval in Québec City. Dr. Venkatadri's educational background includes: Ph.D. in Industrial Engineering from Purdue University M.S. in Industrial Engineering from Clemson University B.Tech in Mechanical Engineering from Indian Institute of Technology, Banaras Hindu University His research focuses on addressing design, planning, and control issues in production and distribution systems in the era of Industry 5.0 and Hyperconnected Logistics. He employs Mixed Integer Linear Programming as the cornerstone of his methodological approach, while incorporating trends in big data analytics, machine learning, and artificial intelligence. Dr. Venkatadri's work spans several critical areas including facilities planning and design, supply chain management, production planning and control, and sustainable manufacturing systems. He has developed frameworks for perishable food supply chains, healthcare logistics during pandemics, offshore wind energy maintenance, and cellular manufacturing systems. Dr. Venkatadri's recent publications demonstrate a strong emphasis on sustainable and resilient supply chains, maintenance optimization, and the application of advanced analytics to logistics problems. His work addresses contemporary challenges such as pandemic response in healthcare supply chains, optimization of renewable energy systems, and management of perishable goods in food supply chains. He frequently collaborates with researchers across disciplines, particularly with Claver Diallo, Abdelhakim Khatab, and other colleagues in the field of industrial engineering. Dr. Venkatadri has received numerous awards and honors throughout his career: 2021: Teaching award by the Logistics and Supply Chain Division of the Institute of Industrial and Systems Engineers 2016: Best Teacher of the Year award, Department of Industrial Engineering, Dalhousie University 2004: Best Teacher of the Year award, Department of Industrial Engineering, Dalhousie University 1991-1993: Summer David Ross Fellowship from Purdue University for excellence in teaching 1987-1990: David Ross Fellowship from Purdue University for Ph.D. work 1988: Institute of Industrial Engineer's General Motors First Place Master's thesis award Dr. Venkatadri has advised numerous graduate students, with many co-authoring publications with him. His research has been supported by various grants focusing on supply chain optimization, maintenance systems, and sustainable manufacturing. He is actively involved in the academic community as a Senior Member of IIE (Institute of Industrial Engineers), a Member of Engineers Nova Scotia, and a Member of the Canadian Operational Research Society (CORS). His teaching portfolio includes undergraduate and graduate courses in computational methods, operations research, supply chain management, facilities design, and quality control.
Dr. Eng. Joanna Rut is a Lecturer and Head of the Department of Logistics at Opole University of Technology . Her research focuses on logistics optimization, Industry 4.0 integration, and sustainable urban transportation systems.
Dr. Eng. Marcin Markowski is a researcher at the Department of Computer Systems and Networks, Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology. His work focuses on computer network design, optimization, and security, with an emphasis on cloud computing, elastic optical networks, and distributed systems. Faculty: Computer Science and Telecommunications Department: Computer Systems and Networks Email: marcin.markowski@pwr.edu.pl His research spans network optimization algorithms (ant colony, tabu search), industrial IoT applications, and security protocols. Articles demonstrate expertise in WAN-based resource allocation, SDN laboratory development, and sustainable logistics through WiFi-based monitoring systems. Key trends in his publications include heuristic methods for elastic optical networks, multi-criteria replica placement in wide area networks, and cloud computing efficiency analysis. He integrates algorithmic innovation with practical applications in industrial and telemedicine contexts. The Software Defined Networking Research Laboratory at WUST features prominently in his experimental work on network topologies and scenarios. No explicit information is available on teaching roles, awards, or grants.
Dariusz Adam Żelasko is an Assistant Professor in the Department of Computer Science at Cracow University of Technology. His research focuses on Quality of Service (QoS) management in computer networks, particularly through the development of the Pay&Require multi-agent system. His work integrates machine learning with network management, developing ensemble classifiers and genetic algorithm-neural network hybrids for transmission quality prediction. Research validates concepts through NS3 network simulations and addresses routing optimization in dynamically configured networks. Recent publications demonstrate innovations in decentralized routing protocols, variable cost algorithms, and QoS assurance mechanisms using electronic auction systems. Applications extend to IoT parking systems and motor fault detection using computational intelligence methods. Teaching interests include network programming with GPS data and policy-based routing implementations.
Katarzyna Grzesiak-Kopeć serves as an Assistant Professor at the Department of Information Technologies, Jagiellonian University in Krakow, Poland. Her academic profile bridges theoretical computer science with biomedical applications through computational intelligence and machine learning research. Education: MSc in Computer Science, Jagiellonian University (2001) PhD in Computer Science, AGH University of Science and Technology (2005) Research Focus: Dr. Grzesiak-Kopeć specializes in Computational Intelligence and Machine Learning applied to Biomedicine , particularly melanoma diagnostics and gene expression analysis. Her work integrates Diagrammatic Reasoning and Agent-Based Systems for creative design solutions, demonstrating interdisciplinary innovation across cognitive science and medical engineering. Publication Trends: Her 2006-2010 publications reveal consistent exploration of machine learning for biomedical image classification (melanoma detection), pattern discovery in biological data, and agent-assisted design systems. Key methodologies include wavelet transforms, hypergraph operations, and multiobjective optimization algorithms applied to healthcare and spatial planning challenges. Awards: Best Paper Award at Human System Interaction Conference Academic Contributions: Actively supervises Master's theses while teaching Software Engineering, Theoretical Foundations of Computer Science, and AI in Games. Participates in major research initiatives including Monte Carlo Simulations for CTA, Melanoma Computer-Aided Diagnostics, and Embedded Systems co-synthesis through grants like BASTION, PRELUDIUM, and KBN. Associated with Juna Network Academy for academic collaboration.
Dr. Zbigniew Duliński is an Assistant Professor at the Faculty of Physics, Astronomy and Applied Computer Science of Jagiellonian University in Kraków. His research focuses on telecommunications, networking, and software-defined networks (SDN), with a strong emphasis on multipath transmission, traffic management, and network optimization. He has contributed over 48 publications across theoretical physics and computer science, including 25 papers in networking fields and 4 IETF drafts. His work spans both experimental and theoretical domains, bridging his earlier physics background with modern telecommunications challenges. Recent research highlights include dynamic traffic management in SD-WAN inter-cloud communication and techniques to reduce flow table entries in SDN switches. Education: PhD in Physical Sciences (1995) and MSc in Physics (1987), both from Jagiellonian University. His academic career includes supervision of dozens of master’s theses and participation in projects like 'Funkcje struktury leptonów' (1999–2002) in particle physics. His publications frequently address SDN architectures, network security, and multipath transmission mechanisms, often involving collaboration with colleagues like Grzegorz Rzym and Piotr Chołda. Publications reflect expertise in optimizing network performance through innovative routing protocols and traffic control strategies. His work emphasizes practical applications, such as reducing network latency and improving scalability in distributed systems. Despite no listed awards, his prolific output and cross-disciplinary contributions highlight significant academic engagement.
Krzysztof Wojtas is an Assistant Professor at the Department of Separation Processes , Faculty of Chemical and Process Engineering, Warsaw University of Technology. His work bridges computational modeling and experimental validation in chemical engineering systems. Research Interests: Process intensification, turbulent mixing, precipitation dynamics, and LES/CFD applications Collaborations: Engaged in multidisciplinary projects with biologists, physicists, and industry partners Scientific Contributions: Focused on jet reactor dynamics and microwave catalytic reactors for hydrogen production. His publications demonstrate expertise in: Mathematical modeling of dispersed systems Population balance equation applications Experimental validation techniques Industrial process optimization Infrastructure: Utilizes advanced equipment like ANSYS Fluent for CFD simulations, high-shear homogenizers, and sol-gel synthesis facilities.
Roman Dyga is a Professor at the Department of Process and Environmental Engineering, Faculty of Mechanical Engineering, Opole University of Technology. His research focuses on thermal and hydrodynamic phenomena in single- and two-phase fluid flows through specialized geometries, with particular emphasis on metal foam applications in industrial apparatus. Position: University Professor Department: Process and Environmental Engineering Email: r.dyga@po.edu.pl Research interests include: Thermal and hydrodynamic analyses of single- and two-phase flows Design optimization of industrial equipment using CFD simulations Application of open-cell metal foams in process apparatus Process safety engineering Hydrodynamic regime identification Pressure drop and void fraction modeling Recent publications demonstrate a sustained focus on metal foam applications for heat exchangers and process equipment, with interdisciplinary work involving CFD validation, multi-phase flow modeling, and catalytic support structures. His work has been consistently published in thermal engineering and fluid dynamics journals since 2001. Teaching activities include: Process equipment manufacturing technology Industrial apparatus design using CAD systems Strength of materials and structural elements Process safety protocols Contact details: Room: D-108 Phone: +48 77 449 8440 Email: r.dyga@po.edu.pl
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
Prof. Wojciech Bujalski is a full Professor at the Department of Power Machines and Equipment , Faculty of Power and Aeronautical Engineering, Warsaw University of Technology. He serves as Deputy Director for Scientific Affairs at the Institute of Heat Engineering and acts as an editor for the Journal of Power Technologies . His academic career spans 30+ years of research in energy systems. Mathematical modeling of energy devices Thermal energy storage optimization District heating network analysis CO2 capture technologies Economic evaluation of energy projects His publication record focuses on thermal energy storage (15+ papers), CO2 separation (6+ studies), and district heating optimization (4+ key articles). The research emphasizes molten carbonate fuel cells for carbon capture and seasonal storage systems for renewable integration. Scientific awards include: 2018 Rector's Team Award for monograph on renewable energy 2015 Siemens Research Award for heat accumulator optimization 2006 Rector's II-degree Team Award 2003 Rector's III-degree Individual Award He leads research projects under: Strategic Research Programme - Advanced CO2 Capture Technologies (2010-2015) Polish-Norwegian Research Projects (MOLCAR_UA) European Energy Research Alliance collaborations As academic advisor, he supervises thesis projects on: Mathematical modeling of energy systems Optimization algorithms in power engineering Techno-economic analyses of investments
Arkadiusz Klimczyk is a Lecturer at the Department of Plastic Metal Processing and Extractive Metallurgy, Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology in Kraków. His academic work focuses on metallurgical engineering, particularly blast furnace technology, fuel optimization, and metallurgical waste utilization. Research Interests: Metal processing techniques Metallurgical emission analysis Computational modeling of smelting processes Industrial computer science applications Metal recovery optimization Sustainable metallurgical practices Recent publications analyze carbon monoxide emissions, fuel consumption dependencies in smelting, coke layer dynamics, raceway shape prediction, and metallurgical waste utilization. His work integrates mathematical modeling and neural networks for process optimization.
