Find Academic Supervisors

Pilar DellundeView profile

Professor

• Artificial Intelligence
• Logic
• Computational Logic
• +4 more

Pilar Dellunde is a Full Professor in the Department of Philosophy at the Autonomous University of Barcelona (UAB), specializing in the intersection of logic, artificial intelligence, and philosophical inquiry. Her work bridges theoretical foundations with real-world AI applications. Education: Ph.D. (Doctorat) from Universitat de Barcelona (UB), 1996 Llicenciat from Universitat de Barcelona (UB), 1988 Her research spans computational logic frameworks including modal, substructural, and fuzzy logics, with significant contributions to explainable AI and probabilistic argumentation systems. She investigates how logical structures can enhance AI transparency and address societal challenges like algorithmic bias and accessibility for people with disabilities. Her fingerprint analysis reveals strong connections between Horn clauses, global similarity metrics, and art style recognition. Recent publications demonstrate a clear trajectory toward ethically grounded AI development, with increasing focus on human-machine integration, social robotics for vulnerable populations, and value-based design of intelligent systems. This evolution reflects her commitment to aligning technical AI advancements with philosophical and social considerations. She actively supervises PhD research in logics for AI, probabilistic argumentation frameworks, and explainable AI. Her current grant portfolio includes: ENGEENIRING CARE IN NURSING HOMES: ROBOTS MEET OLDER PEOPLE (2023-2026) Cátedra UAB-Cruilla de Inteligencia Artificial en Música y Artes (2023-2026) MOSAIC: Modal logics project (2021-2026) AppPhil: Applied Philosophy for Social Network Apps (2018-2021) Syntax Meets Semantics: Substructural logics (2016-2019) Dellunde maintains an active interdisciplinary presence through UAB's research ecosystem, collaborating across computer science, philosophy, and social sciences to develop human-centered AI solutions with societal impact.

• Computer Engineering
• Scientific Computing
• Stochastic Analysis
• +3 more

Tanja Van Hecke is an Associate Professor at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology, specializing in stochastic analysis, mathematical modeling, and signal processing applications. Her research spans interdisciplinary domains including antenna design, occupational health, and computational methods. 2014–2018: Supervised doctoral project on 'Direction-of-Arrival Estimation' with Robbe Van Thielen 2022–2024: PhD supervision of Seppe Van Brandt on 'Wireless Systems for Joint Communication and Sensing' Research keywords include polynomial chaos, Monte-Carlo simulations, and DOA estimation. She contributes to journals like Sensors and Journal of Chemical Theory and Computation , with methodological innovations in Gaussian process regression and fuzzy logic applications. Her work with the IT & Data Science Lab explores statistical evaluation of engineering systems and occupational risk factors through large-scale data analysis.

Osman Taha ŞenView profile

Associate Professor

• Brake Squeal
• Noise Control
• Vibration Analysis
• +3 more

Osman Taha Şen is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University (ITU). He specializes in vibration and noise control, with a focus on brake systems, nonlinear dynamics, and acoustic performance optimization. As the Principal Investigator (PI), he leads projects such as 'Improving the acoustic performance of diesel generators with passive control approaches' and 'Vibroacoustically Optimized Compressor Design.' His research interests include brake squeal suppression, nonlinear mathematical modeling, and experimental validation of vibration systems. He has contributed to advancements in piezoelectric damping treatments, fuzzy logic applications for dynamic stability prediction, and mobile device-based noise identification in vehicles. Key awards include the LEO BERANEK STUDENT MEDAL FOR EXCELLENCE IN NOISE CONTROL (2012) and YOUNG PROFESSIONALS AWARD (2013). His work spans theoretical models and practical engineering solutions, addressing challenges in automotive, mechanical, and vibration/acoustics domains. He has supervised 25 ongoing theses and led several industry-oriented projects, including 'Teknofest Robotaxi Autonomous Passenger Competition' and 'BMC Power Data Analysis.' His research aligns with ITU's engineering and innovation priorities, emphasizing both academic rigor and real-world applications.

Abdüsselam AltunkaynakView profile

Professor

• Wave Energy
• Machine Learning
• Environmental Engineering
• +3 more

Abdüsselam Altunkaynak is a Professor at Istanbul Technical University's Civil Engineering Department. With an h-index of 29 and over 20 years of research activity, his work bridges civil engineering with advanced computational methods for environmental monitoring. Specializes in wave energy systems and climate change impact modeling Develops hybrid machine learning frameworks for hydrological predictions Active in coastal engineering and marine data optimization Research Focus : Wave Energy Applications : Designs and optimizes oscillating water column systems and energy conversion frameworks Climate-Hydrology Interactions : Investigates rainfall patterns and river discharge changes under climate projections Machine Learning Innovations : Pioneers eigenvalue-based ensemble models for spatiotemporal forecasting Publication Trends : Recent work emphasizes transformer models and wavelet analysis for oceanographic predictions Develops stacking ensemble frameworks for coastal energy systems Integrates empirical and singular value decomposition techniques in marine modeling Scientific Awards : Recipient of 2017's Most Successful Thesis Award Collaborations : Active in international coastal engineering networks Supervised 21 academic works with students

• Artificial Intelligence
• Neuro-Symbolic Integration
• Knowledge Graphs
• +4 more

Luciano Serafini is a researcher at Fondazione Bruno Kessler in Trento, Italy, specializing in Artificial Intelligence with a focus on Neuro-Symbolic Integration and Knowledge Graphs . His work bridges Machine Learning and Symbolic Reasoning , emphasizing Planning , Relational Learning , and Visual-Textual Grounding . Key Research Areas : Neuro-symbolic systems, logic-based knowledge representation, planning under uncertainty, and computer vision. Recent Publications highlight trends in Embodied AI for open-world tasks, Weighted Model Counting , and Graph Generative Models . His contributions include Logic Tensor Networks for integrating deep learning with formal logic and methods to mitigate Data Sparsity through knowledge transfer. Collaborations span institutions like the University of Trento and research teams in Computer Vision and Reasoning , with applications in Social Navigation and Event Recognition .

• Computer Science
• Semantic Web
• Ontology Matching
• +3 more

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).

• Sustainable Supply Chain
• Reverse Logistics
• Location and Network Design
• +7 more

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.

Mohammad Ali AyoubiView profile

Associate Professor

• Multibody Dynamics
• Rotordynamics
• Spaceflight Dynamics
• +4 more

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)

• Integrated Water Management
• Agricultural Water Efficiency
• Climate Change Impact on Water Resources
• +5 more

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 .

Minucher MeszarosView profile

Associate Professor

• Geoinformatics
• Geographic Information Systems (GIS)
• Interdisciplinary Research
• +5 more

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 AKTEPEView profile

Professor

• Industrial Engineering
• Data Mining
• Machine Learning
• +5 more

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.

• Corporate Governance
• Accounting Ethics
• Ethical Decision-Making
• +3 more

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).

Sergiy YakovlevView profile

Research Professor

• Combinatorial Optimization
• Geometric Design
• Computational Geometry
• +5 more

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.

• Artificial Intelligence
• Business Process Modeling
• Knowledge Engineering
• +9 more

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.

Piotr SzwedView profile

Lecturer

• Data Mining
• Software Engineering
• Computational Intelligence
• +5 more

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.