Alsayed Algergawy is a researcher at the Institute of Computer Science , Friedrich Schiller University Jena . His work focuses on ontology alignment , schema matching , and knowledge graph integration . Affiliation: Friedrich Schiller University Jena, Institute of Computer Science Research interests span semantic web technologies , machine learning for data integration , and ontology engineering , with applications in biodiversity and invasion biology . He has developed tools like OAPT for ontology partitioning and DREIFLUSS for table matching. His recent publications emphasize LLM-driven knowledge graph completion , semantic annotation of scientific datasets , and clustering-based ontology matching . Collaborative projects include BiodivNERE for NLP in biodiversity and INBIO (Invasion Biology Ontology).
Hao Yu is a tenured Associate Professor and Program Leader for the Master in Industrial Engineering at UiT The Arctic University of Norway , Department of Industrial Technology. His research focuses on real-problem-driven model development and applied operations research for sustainable supply chains, reverse logistics, location/network design, service systems, and smart logistics in Industry 4.0/5.0. He combines predictive , prescriptive , and descriptive analytics in Industry 5.0-enabled Smart Digital Logistics Twins to address challenges in reverse logistics, epidemic logistics, and remanufacturing systems. Current Projects : Industry 5.0 enabled Smart Logistics (2023-2026) - HK-dir/UTFORSK Digital Reverse Logistics Twin 5.0 (2026-2029) - FRIPRO AI for Cyber-Sustainable Engineering Education (2025-2026) - Nordplus Professional Affiliations : NORS (Norwegian Operations Research Society) EWGSSC (EURO Working Group on Sustainable Supply Chains) EWGLA (EURO Working Group on Location Analysis) EURO Working Group on Practice of OR Editorial Roles : Associate Editor - IEEE Transactions on Intelligent Transportation Systems Associate Editor - World Journal of Engineering Editorial Board - Science Progress, Discover Sustainability, Logistics, Eng Teaching Portfolio : SB_ME_IIT_0001_Prosjektledelse (Microcredential, 2026-) INE-3612 Industry X.0 (Master, 2023-) INE-3800 Operations Research 1 (Master, 2022-) INE-3605 Project Management (Master, 2015-2022) TEK-6005 Industry 4.0 (EVU, 2020) INE-3609 Supply Chain Management (Postgraduate, 2019 & 2022-) Hao Yu's recent publications (2022-2025) demonstrate expertise in electric vehicle infrastructure modeling, railway cold chain forecasting, maritime scheduling, and digital twin applications. His work spans optimization/simulation models addressing sustainable logistics, reverse supply chains, and Industry 4.0/5.0 transitions, with case studies focused on Norway and the oil/gas sector.
Dr. Mohammad Ali Ayoubi is an Associate Professor in the Department of Mechanical Engineering at Santa Clara University's School of Engineering. He holds a Ph.D. in Aeronautics and Astronautics from Purdue University (2007), an M.S. in Aerospace Engineering from Sharif University of Technology (1998), and a B.Sc. in Mechanical Engineering from Amirkabir University of Technology (1991). His research focuses on dynamics and control systems for aerospace applications, including: Multibody and spacecraft dynamics Vibration control of rotating machinery Intelligent control algorithms (fuzzy logic, neural networks) Guidance systems for reentry vehicles and spacecraft attitude control Recent publications (2016-2024) demonstrate strong emphasis on spacecraft control, vibration suppression, and optimal guidance methods, frequently employing advanced techniques like Takagi-Sugeno fuzzy models and data-driven approaches. Awards & Honors: AIAA Leadership Award (2019) ASME Fellow (2016) NASA Faculty Fellow (2013-2014) Researcher of the Year, Santa Clara University (2013) Teaching excellence awards from Purdue University (2004-2006)
Prof. Dr. Yeşim AHİ is a distinguished academic at Ankara University Water Management Institute and Tekirdağ Namık Kemal University Faculty of Agriculture , specializing in Integrated Water Management , Agricultural Water Efficiency , and Climate Change Impact on Water Resources . She has held faculty positions since 2000, including Professor (2017-2024) and Associate Professor (2007-2013). Education : PhD, Master’s, and Bachelor’s in Agricultural Structures and Irrigation from Trakya University and Ankara University Her research focuses on Artificial Intelligence in Agricultural Water Management , Treated Wastewater in Agriculture , and Plant-Water-Soil-Atmosphere Relations . Recent work includes AI-based reservoir evaporation forecasting and wastewater reuse analysis in Mediterranean agriculture. She has published extensively on irrigation systems, water productivity, and climate change adaptation. Dr. Ahi’s scientific awards include the ERASMUS-Hungary Postgraduate Teaching Scholarship (2009) , Tekirdağ Governorship Certificate of Appreciation (2008) , and the Namık Kemal Academic Performance Award (2007) . She has supervised 14 PhD and Master’s theses and participated in 15+ international projects, including EU Interreg Next Med’s TAMIRAG and TÜBİTAK initiatives. She leads the Life Cycle Analysis Training Program on Water Management (2022) and serves on scientific committees for conferences like the European Water Resources Association (EWRA) World Congresses . Her teaching contributions span courses on Water Efficiency , Irrigation Technologies , and Plant-Water-Soil Relations .
Dr. Minucher Meszaros is an Associate Professor at the Department of Geography, Tourism and Hotel Management , Faculty of Natural Sciences and Mathematics, University of Novi Sad. His expertise spans geoinformatics, GIS applications, and interdisciplinary research addressing climate change, natural hazards, and environmental monitoring. Doctor of Geosciences (2013), University of Szeged Professor of Geography (2001), University of Novi Sad His research focuses on geohazard spatial analysis, land cover change detection, flood/drought monitoring, and UAV-based environmental assessments. Recent work explores cropping intensity mapping, aquatic vegetation monitoring, and agri-environmental schemes. Key article trends: 40% on precipitation/erosion dynamics, 30% on UAV/GIS environmental applications, 20% on agricultural sustainability, and 10% on aquifer/transport infrastructure studies. He collaborates with institutions across Europe and contributes to projects like H2020 BESTMAP. Active in organizations: European Geosciences Union, Serbian Geographical Society, Society of Geographers of Vojvodina. Contact: minucer.mesaros@dgt.uns.ac.rs | geoinfons@gmail.com | minu@uns.ac.rs .
Adnan AKTEPE is a Professor at Kırıkkale University, Faculty of Engineering and Natural Sciences, Department of Industrial Engineering. He holds a PhD in Industrial Engineering from Gazi University and has been affiliated with Kırıkkale University since 2009. His research focuses on data-driven industrial systems, integrating machine learning, fuzzy logic, and structural equation modeling. BSc in Industrial Engineering, Marmara University (2007) MSc in Industrial Engineering, Kırıkkale University (2011) PhD in Industrial Engineering, Gazi University (2015) His work bridges digital technologies (e.g., blockchain, AI) with industrial and service quality optimization. Recent publications emphasize predictive maintenance, customer segmentation, and fuzzy logic applications in manufacturing and healthcare. Articles highlight cross-disciplinary approaches combining operational efficiency, data mining, and smart systems. Scientific contributions include methodological frameworks for service performance indices, lean manufacturing analysis, and reinforcement learning in scheduling. Awards and professional roles are mentioned but unspecified in the source text.
Dr. Lecturer Ahmet ÜNSAL is affiliated with Ahi Evran Üniversitesi as a full-time academic in the Faculty of Economics and Administrative Sciences . He previously held research assistant positions at Gazi University (1999-2007) and Karamanoğlu Mehmetbey Üniversitesi (1996-2013). Education: PhD in Accounting and Finance, Gazi University (2007) MA in Business Accounting, Afyon Kocatepe University (1998) BA in Labor Economics and Industrial Relations, Gazi University (1994) His research focuses on Corporate Governance and Accounting Ethics , with recent work addressing whistleblowing terminology, pandemic-era accounting education, and hierarchical disconnects in knowledge management. His publications span ethical decision-making processes, forensic accounting structures, and market-based costing. He has supervised one master's thesis (Ahmed Neamah Husseın Husseın, 2022) and taught courses like Accounting Ethics, Corporate Accounting, and Auditing. Two institutionally supported research projects (2017) explore innovation tensions and hierarchical disconnects in accounting systems. Metrics: 94 citations , h-index 4 (Google Scholar); 22 citations (UNIS). Collaborated with Nalan Akdoğan (2009) and Ahmed Neamah Husseın (2023).
Prof. Sergiy Yakovlev serves as a Research Professor in the Department of Mathematical Modeling at University of Lodz, with room 167 and contact number +48 426313617. His extensive academic contributions span combinatorial optimization, geometric design, and artificial intelligence applications. His research interests focus on Combinatorial Optimization, Geometric Design, Computational Geometry, and AI in Public Health, with significant work in spatial configuration modeling and packing/covering problems. Recent publications demonstrate strong interdisciplinary connections between mathematical theory and practical applications in epidemiology and sensor networks. Analysis of his 15 most recent publications reveals a clear trend toward applying computational geometry and optimization techniques to public health challenges, particularly in modeling epidemic dynamics during the Ukraine conflict and developing AI frameworks for health misinformation detection. His work bridges theoretical mathematics with real-world crisis response systems. While no specific scientific awards are documented in the provided text, his publications appear in high-impact journals including Symmetry (70 points), Environmental and Climate Technologies (100 points), and Cybernetics and Systems Analysis. Prof. Yakovlev actively collaborates on epidemic modeling projects related to the Ukraine conflict, including migration impacts on COVID-19 dynamics and respiratory infection modeling in Kharkiv region. His work involves multiple international research teams across Poland, Ukraine, and Switzerland. He contributes to critical monitoring systems through his research on sensor network reliability for environmental emergencies and forest fire monitoring, with particular attention to failure analysis in hybrid network architectures.
Antoni Ligęza is a Professor at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków. His research focuses on artificial intelligence, business process modeling, constraint programming, and knowledge engineering. He actively explores explainable AI methodologies, including grammatical evolution and temporal logic-based approaches.
Dr inż. Piotr Szwed is a Lecturer in the Department of Applied Computer Science at AGH University of Science and Technology, Kraków. He is affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering (EAIiIB), where he teaches courses ranging from imperative and object-oriented programming to data exploration and computational intelligence. Research Interests: Data mining and knowledge discovery Fuzzy cognitive maps and their applications in transportation, risk assessment, and security Software engineering methodologies, including agile and ontology-driven development Intelligent transportation systems (ITS) and real-time traffic management Natural language processing for Polish texts, stylometry, and authorship attribution Ontology engineering, enterprise architecture verification, and model checking His work often bridges theoretical computer science with practical applications in urban mobility, safety systems, and enterprise software. Scientific Contributions: Pioneered the integration of fuzzy cognitive maps with evolutionary algorithms to predict traffic flows. Developed rule-based and machine-learning approaches to determine speed limits from geospatial data. Contributed to the INSIGMA intelligent transportation system aimed at enhancing urban mobility in Polish cities. Created formal verification techniques for ArchiMate business processes using NuSMV model checking. Advanced stylometric analysis for Polish texts, introducing part-of-speech features for authorship attribution. Teaching & Academic Service: Regularly teaches Programming (C, C++, Java), Software Engineering, Data Exploration, and Computational Intelligence. Supervises engineering and master theses in applied computer science. Maintains a public wiki with course materials, lab exercises, and consultation schedules for students. Utilizes Git-based repositories to streamline code submission and continuous assessment in laboratory classes. Laboratory & Facilities: He is located in building C-2, room 403, at AGH’s main campus, al. Mickiewicza 30, 30-059 Kraków. The lab supports courses that emphasize practical software development, version control, and collaborative project work.
Ashraf Saleem is an Assistant Professor in the Department of Applied Computing at Michigan Technological University, where he leads the Robotics & Remote Sensing Lab (RRSL). His research focuses on robotics, remote sensing, and artificial intelligence with applications in underwater image enhancement, object detection, and environmental monitoring.
Alessandro Simeone is an Associate Professor at Politecnico di Torino, affiliated with the Department of Management and Production Engineering (DIGEP) and College of Management and Production Engineering. His research focuses on advanced and sustainable manufacturing with particular emphasis on Industry 5.0, human-centric approaches, and AI integration. Faculty member since 2021 Researcher in Manufacturing Technologies and Systems Teaching roles across Biomedical Engineering and Management Engineering programs Key research areas include sustainable manufacturing systems, inclusive production strategies, and AI-driven process optimization, with specific attention to SDG goals 3 (Health), 8 (Decent Work), 10 (Equality), and 13 (Climate Action). His recent publications demonstrate strong focus on AI applications for manufacturing inclusivity, particularly for neurodiverse operators, and sustainable production optimization. Notable works include AI-based assistance systems for assembly and smart approaches to waste reduction. Teaching activities span multiple courses across academic years 2021-2025, including: Sustainable Manufacturing (2024-2025) Manufacturing Technologies and Processes (Biomedical Engineering) Analysis and Management of Production Systems Designing Diversity PhD course collaboration As thesis supervisor for Yuchen Fan's PhD in Management and Production Engineering (39th cycle, 2023-ongoing), he continues to shape next-generation manufacturing research.
Alberto José Bugarín Diz is a Full Professor of Artificial Intelligence at the University of Santiago de Compostela (USC), where he serves as coordinator of the Intelligent Systems Group (GSI), founded in 1990 and recognized as a competitive reference group by the Xunta de Galicia since 2006. He previously served as Deputy Director of the School of Engineering of the University of Santiago de Compostela (ETSE) and currently acts as the USC coordinator of the Degree in Artificial Intelligence taught across the three universities in Galicia. His research focuses on various areas of artificial intelligence and its applications, including natural language generation (Data-To-Text systems), soft computing, automatic learning, and approximate knowledge and reasoning representation. He has co-authored nearly 230 scientific papers and participated in over 63 R&D projects and innovation contracts, serving as principal researcher in 25 of them. His work spans healthcare applications, manufacturing processes, conversational agents, and linguistic descriptions of data, with particular emphasis on making AI systems more transparent and understandable to users. Prof. Bugarín Diz is actively involved in the AI community, currently serving as a Board Member of the Spanish Society for Artificial Intelligence (AEPIA), Secretary of the Spanish Society for Natural Language Processing (SEPLN), and as a member of the Organizing Committee of the 27th European Conference on Artificial Intelligence (ECAI), which took place in Santiago de Compostela in October 2024. He also participates in the TELSEC4TAI network about 'Trustworthy AI: technical, ethical, legal, cultural and socio-economic challenges.' His recent publications reveal a strong focus on explainable AI, trustworthy systems, and the application of fuzzy logic to complex reasoning problems, particularly in medical diagnosis, automotive manufacturing, and conversational systems. His work consistently bridges theoretical AI concepts with practical applications that address real-world challenges in healthcare, industry, and human-computer interaction. Board Member, Spanish Society for Artificial Intelligence (AEPIA) Secretary, Spanish Society for Natural Language Processing (SEPLN) Organizing Committee Member, 27th European Conference on Artificial Intelligence (ECAI 2024) Coordinator, Intelligent Systems Group (GSI) USC Coordinator, Degree in Artificial Intelligence (Galicia)
Manuel Lama Penín is a Full Professor at the Research Center on Intelligent Technologies (CiTIUS) with the University of Santiago de Compostela. His research bridges machine learning, process mining, and semantic modeling to address challenges in healthcare, industry, and e-learning. He has led 29 of 51 R&D projects and authored over 150 scientific works, including 52 journal articles. Research Areas: Process Mining & Conformance Checking Predictive Monitoring & Drift Detection Semantic Modeling & Service Computing Social Workflow Analysis & Data-to-Text AI in Healthcare & Educational Technologies Notable Projects: TRANSFIRESAUDE (2023, EU Health R&I Ecosystems) AQUATECHInn 4.0 (2023, Aquaculture Education) INCEPTION (2021, Concept Drift in Process Mining) Scientific Recognition: Recipient of the Transfer Technology award from the Galician Royal Academy of Sciences for co-founding InVerbis Analytics, a spin-off commercializing process mining research. Article Trends: His recent publications focus on explainable AI integration in EU regulations, drift detection methodologies, and natural language generation for process documentation. Collaborative efforts emphasize cloud-based solutions, healthcare process formalization, and predictive modeling across sectors.
Shouvik Chaudhuri is a Research Fellow at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU). Holding a PhD and postdoctoral qualifications in Mechatronics, he conducts research in control systems and electrohydraulic actuation. His educational background includes advanced training in mechanical and electrical engineering systems. Dr. Chaudhuri's research focuses on nonlinear control methodologies with applications spanning: Electrohydraulic actuation systems and motion control Marine vehicle stabilization and control systems Energy-efficient refrigeration and thermal management Robust control applications in biomedical devices Mechatronic systems integration with vision-based sensing His recent publications demonstrate strong cross-disciplinary collaboration, particularly in marine engineering, thermal systems, and biomedical applications. Research frequently incorporates advanced control strategies including sliding mode control, adaptive neural networks, and fuzzy logic implementations. Dr. Chaudhuri actively supervises student projects in mechatronics and control systems, including: Trajectory generation for CNC foam cutting machines Autonomous aerial mapping using drone-based SLAM Electrohydraulic valve systems for pharmaceutical applications Diesel dosing units for exhaust system testing He maintains laboratory activities through SDU Mechatronics (CIM) research group, focusing on experimental validation of electrohydraulic systems and marine control technologies.
