جست‌وجوی استاد و پژوهشگر

Krzysztof Węcelمشاهده پروفایل

استاد

• Semantic Technologies
• Linked Open Data
• Big Data Analytics
• +۵ مورد دیگر

Dr hab. Krzysztof Węcel serves as Professor and current Head of the Department of Economic Informatics at Poznan University of Economics and Business (UEP), appointed on October 4, 2024. His primary affiliation spans over 25 years with UEP's Department of Economic Informatics, which maintains one of Poland's longest-running academic websites since 1998. He holds dual recognition through habilitation from University of Potsdam (2020) and professorship conferred by UEP (June 24, 2020). His academic milestones: Habilitation degree in Economic Informatics, University of Potsdam (2020) Professor title, Poznan University of Economics and Business (2020) Węcel's research centers on Semantic Technologies and data quality assessment across multilingual Wikipedia, with emphasis on company information verification, citation analysis, and open data applications. His work bridges Big Data analytics with practical business solutions, particularly in maritime logistics where he pioneered evolutionary algorithm-based AIS data processing. Current investigations focus on generative AI's dual role in creating and combating disinformation, including ChatGPT's impact on academic writing and fake news propagation. Recent publications (2022-2025) reveal three dominant trends: First, systematic analysis of Wikipedia's reliability across languages during crises like the pandemic and Ukraine war. Second, development of AI-driven fact-checking frameworks (e.g., OpenFact project's CLEF 2023 victory). Third, exploration of generative AI's societal impact ranging from student creativity to disinformation campaigns. Scientific awards received: Best Paper Award at ICIST 2017 Conference Award for most innovative article at NATCON 2018 conference Microsoft Azure for Research Award (2016) As academic advisor, he leads the 'Semantic Technologies' diploma seminar attracting high-achieving students, with participants winning the 29th UEP Foundation Competition (2025) and Eurostat's Web Intelligence Challenge (2024). His grant portfolio includes the 'Maritime Big Brother' project (2017) for ship voyage prediction using AIS data and Microsoft Azure funding for Wikipedia quality enhancement. Ongoing initiatives include OpenFact (fake news detection) and GOBLIN projects. He actively collaborates with SKN Data Science student circle (evidenced by 2024/2025 inaugural meeting) and international consortia like CLEF and QOD workshops. Departmental leadership involves managing the OpenFact research team that achieved top results in CheckThat! Lab competitions, alongside maritime data analytics groups applying evolutionary algorithms to shipping networks.

Bartosz Grzybowskiمشاهده پروفایل

استاد مدعو

• Artificial Intelligence in Chemistry
• Computer-Assisted Organic Synthesis
• Reaction Network Analysis
• +۳ مورد دیگر

Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.

• Cybersecurity
• Cryptography
• Information Security
• +۷ مورد دیگر

Dr. Viktor Melnyk serves as an Assistant Professor in the Department of Applied Computer Science at the Institute of Mathematics, Informatics and Landscape Architecture within the Faculty of Natural Sciences and Technology at John Paul II Catholic University of Lublin. His academic activities span teaching, research, and extensive student supervision across multiple years. His research interests focus on cybersecurity, cryptography, and FPGA-based systems, with particular expertise in wireless network security (especially IEEE 802.15.4), hardware acceleration, and machine learning applications in electronic design. His work bridges theoretical computer science with practical security implementations, evident in his numerous publications and student thesis topics. Analysis of Dr. Melnyk's recent publications reveals a consistent focus on hardware security implementations, particularly for low-rate wireless networks and reconfigurable computing systems. His research trajectory shows increasing integration of machine learning techniques with traditional security protocols, reflecting broader trends in the field. The publications demonstrate both theoretical depth and practical implementation focus, with many papers addressing specific hardware implementations. Dr. Melnyk has served as an Independent External Expert for evaluating grant proposals in the European COST Open Call competition, indicating professional recognition of his expertise. His contributions to the academic community extend to reviewing numerous scientific articles across various domains including biomedical data processing, cyber-physical systems, and cloud computing. His academic advising is exceptionally active, with documentation of supervising over 100 diploma theses from 2015 through 2025 across both Bachelor's and Master's levels. The thesis topics consistently align with his research interests, covering cybersecurity, cryptography, network security, and hardware implementations. He teaches courses including 'Operating Systems,' 'Network Data Protection Technologies,' and 'Multimedia Systems,' with teaching materials adapted for remote delivery during the pandemic period.

• Information Systems Development
• Digital Transformation
• Agile Software Development
• +۵ مورد دیگر

Dr. Bartosz Marcinkowski serves as Professor and Head of the Department of Business Informatics at the University of Gdańsk's Faculty of Management, concurrently holding the positions of Deputy Dean for Research and Head of the Doctoral School. His academic leadership spans departmental administration, faculty research strategy, and doctoral program oversight within Poland's prominent management education institution. Marcinkowski's research centers on the intersection of information systems and practical business applications, with dominant focus areas including agile software development methodologies, digital transformation frameworks, and facility management technology adoption. His work consistently addresses contemporary challenges such as post-pandemic recovery in IT projects, generative AI integration, and sustainable business practices through empirical industry-academia collaborations. Recent publications demonstrate particular expertise in scaling agile frameworks for distributed teams and implementing blockchain solutions in enterprise environments. Analysis of his 2022-2025 publications reveals a strategic research trajectory emphasizing practical solutions for complex business-technology challenges. His work shows increasing integration of sustainability considerations across domains, from facility management to corporate governance, while maintaining strong methodological focus on agile approaches and systems integration. The recurring industry-academia collaboration theme highlights his commitment to bridging theoretical research with real-world business applications.

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۷ مورد دیگر

Tarek Gaber is a prominent academic researcher affiliated with the Faculty of Computers and Informatics at Suez Canal University and leads the Scientific Research Group in Egypt (SRGE). He maintains strong collaborative ties with international institutions including the University of Salford, Frankfurt University of Applied Sciences, and Ain Shams University, reflecting a globally engaged research profile. His research spans artificial intelligence, cybersecurity, blockchain, and smart systems with applications in agriculture, healthcare, aerospace, and industrial automation. Key areas include biometric authentication, satellite communication security, plant identification, and IoT-based monitoring systems. The body of his recent work demonstrates a trend toward secure, intelligent, and decentralized systems, particularly in using blockchain for space communications and federated learning for medical data. His publications appear in high-impact journals such as Computers and Industrial Engineering , Signal, Image and Video Processing , and Aerospace , with a strong citation record and an H-index categorized as 'Very High'. National Research Foundation National Institutes of Health Consejo Nacional de Ciencia y Tecnología Princess Nourah Bint Abdulrahman University International Atomic Energy Agency Deanship of Scientific Research, King Faisal University Wellcome Trust Nelson Mandela Metropolitan University VLIRUOS Petroleum Technology Development Fund He has supervised numerous research projects and likely mentors students through the Scientific Research Group in Egypt. While specific advisees are not listed, his leadership role implies active academic guidance. Dr. Gaber is associated with advanced research facilities and has contributed to over 100 publications. His work is supported by diverse international sponsors, highlighting the global relevance and interdisciplinary nature of his research.

Wojciech Kmiecikمشاهده پروفایل

پژوهشگر

• Optical Networks
• Elastic Optical Networks
• Survivable Overlay Multicasting
• +۱۲ مورد دیگر

Dr. Eng. Wojciech Kmiecik is a researcher at the Department of Computer Systems and Networks, Faculty of Electronics, Photonics and Microsystems, Wrocław University of Science and Technology. He is actively involved in multiple research teams including Machine Learning, Computer Networks, Advanced Data Analysis Methods, and Metaheuristics. He also contributes to teaching and supervises diploma theses. His research focuses on optical networks , survivable multicasting , multi-criteria optimization , and metaheuristic algorithms . He has led and contributed to projects such as Dark-Box Optimization, evolutionary multi-criteria optimization, and advanced methods for multi-layer networks. His work bridges theoretical algorithm development with practical network design. The publication trends from 2010 to 2020 show a consistent focus on network survivability , elastic optical networks , and task allocation in parallel systems . His research integrates optimization techniques into networking solutions, particularly in dual homing architectures and deadline-sensitive provisioning. Key themes include resilience, efficiency, and scalability in both optical and computational systems. Scientific Awards: Medal for long-standing service to Wrocław University of Science and Technology Dr. Kmiecik has supervised diploma theses and is involved in teaching. He has not received externally reported grants, but his sustained project involvement suggests institutional or collaborative funding. He collaborates extensively with Prof. Krzysztof Walkowiak and other researchers in the department. Research Labs and Teams: Machine Learning Team Teaching Team Computer Networks Team Advanced Data Analysis Methods Team Metaheuristics Team

• Facilities Planning and Design
• Supply Chain Management
• Production Planning and Control
• +۵ مورد دیگر

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.

• Transportation Planning
• Logistics and Supply Chain Management
• Sustainable Development
• +۴ مورد دیگر

Vitalii Naumov is an Associate Professor at the Chair of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology. His expertise spans transportation planning, logistics optimization, and sustainable urban development. He holds BEng, PhD, and DSc degrees. Research focuses include freight transport efficiency, public transport synchronization using genetic algorithms, and cargo bike integration in urban logistics. His work emphasizes environmental impact assessment and stochastic demand modeling in logistics systems. Key collaborations involve researchers like Hanna Vasiutina and Andrzej Szarata, with over 10 joint publications. He has contributed to projects like sustainable grain transit infrastructure and emissions reduction strategies for urban deliveries. Prof. Naumov’s methodologies include simulation modeling, fuzzy-logic systems, and big data analytics applied to transport systems. He advises on optimizing multimodal transport terminals and logistics chain structures.

• Computer Networks
• Quality of Service
• Multi-Agent Systems
• +۲ مورد دیگر

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.

Grzegorz Gutowskiمشاهده پروفایل

پژوهشگر

• Algorithms
• Graph Theory
• Combinatorics
• +۳ مورد دیگر

Grzegorz Gutowski is a researcher at the Department of Algorithmics, Faculty of Mathematics and Computer Science, Jagiellonian University. His research focuses on algorithms, graph theory, combinatorics, and computational complexity. He holds a Ph.D. in Computer Science from Jagiellonian University (2012). His work includes studies on graph coloring, online algorithms, combinatorial optimization, and algorithmic game theory. Key Research Themes: Graph coloring problems (e.g., online coloring, group coloring, interval coloring) Algorithmic complexity analysis Combinatorial game theory (e.g., slow-coloring games) Transportation network algorithms (e.g., Dial-a-Ride problems) Recent Publications Trends: Recent work emphasizes applications in graph theory, particularly in coloring and structural graph analysis. Notable contributions include studies on treewidth in planar graphs, mixed interval graphs, and combinatorial problems posed by Steinhaus. Awards & Grants: Principal Investigator for grants on algorithmic Nullstellensatz (2020-2025), smart transportation systems, and colonoscopy diagnostics Academic Activities: Supervises graduate research in algorithmics Active in organizing workshops and conferences on theoretical computer science Member of the Algorithmics Research Group at Jagiellonian University

• urban logistics
• Smart Cities
• telematics
• +۲ مورد دیگر

Dariusz Masłowski serves as a Lecturer at the Department of Logistics, Opole University of Technology, based in room ME-309c. His contact details include phone number 72 697 6199 and email d.maslowski@po.edu.pl, with a professional website at http://maslowski.opole.pl. His academic profile centers on practical logistics applications within urban environments and transport systems. His research spans urban logistics, Smart Cities, telematics, transport optimization, and management. With over 60 publications in national and international journals plus two books on urban logistics, his work emphasizes real-world implementation of logistics solutions. Key interests include forensic logistics applications, telematics integration, and sustainable urban mobility frameworks. Analysis of his 2021-2025 publications reveals strong focus on urban freight systems, safety in logistics operations, and Industry 4.0 applications. Recurring themes include risk management in oversized transport, bioterrorism prevention through forensic logistics, and telematics solutions for traffic optimization. His work consistently bridges theoretical models with practical urban challenges. Dr. Masłowski actively supervises the student scientific circle SKN LogPoint, providing mentorship for logistics-focused student research initiatives and fostering academic development in the field.

• Hierarchical systems
• Predictive control
• Management of telecommunication services
• +۷ مورد دیگر

Piotr Przemyslaw Arabas is an Assistant Professor at the Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology. He has been affiliated with Warsaw University of Technology (WUT) since 2002. M.Sc. (1996) and Ph.D. (2004) from WUT Expertise in hierarchical systems, predictive control, and telecommunication services management Active in ICT, computer networks, and energy systems research His work focuses on predictive control algorithms, network traffic modeling, and QoS optimization, supported by bibliometric achievements including 60 publications and h-index values of 8 (Scopus) and 7 (WoS).

Andrzej Jastrzębskiمشاهده پروفایل

مدرس

• Graph Theory
• Extremal Graph Theory
• Graph Coloring
• +۳ مورد دیگر

Andrzej Jastrzębski serves as an Assistant lecturer at the Department of Algorithms and Systems Modelling within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic work is centered in Building A of the faculty, room 238, where he conducts research and teaching activities related to theoretical computer science and discrete mathematics. Dr. Jastrzębski's primary research interests focus on graph theory , particularly extremal graph theory , graph coloring problems , and network theory with emphasis on Clos networks. His work bridges theoretical mathematics with practical applications in telecommunications and computer networks. His research demonstrates a consistent trajectory exploring the computational complexity of various graph-related problems and network configurations. Analysis of his publication record from 2007-2018 reveals a strong concentration on network theory and graph algorithms, with particular expertise in Clos networks and hypergraph edge-coloring. His work often addresses NP-completeness questions and develops polynomial-time algorithms for complex graph problems. The research shows progression from foundational network modeling to more specialized investigations of multicast routing and extremal graph properties. Dr. Jastrzębski is an active member of the Zespół Algorytmów i Modelowania Systemów (Algorithms and Systems Modelling Team), which focuses on graph-theoretical problems and models, examining computational complexity of generalized graph coloring problems with practical applications. The team also investigates job scheduling problems, concentrating on constructing optimal schedules regarding schedule length and average completion time.

• 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.

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.