جست‌وجوی استاد و پژوهشگر

Tomislav Šolićمشاهده پروفایل

استادیار

• Welding Technology
• Surface Protection
• Corrosion Resistance
• +۳ مورد دیگر

Tomislav Šolić serves as an Assistant Professor at the Department of Production Engineering, Faculty of Mechanical Engineering, University of Slavonski Brod, where he has been employed since 2015. Holding a Ph.D. in Technical Sciences with specialization in Modern Production Processes, his academic career is deeply rooted at this institution where he completed all levels of education. Dr. Šolić's academic qualifications include: Doctor of Technical Sciences (2016–present), Postgraduate doctoral study module "Modern Production Processes" Master of Science in Mechanical Engineering (2013–2015), Graduate study in Mechanical Engineering University Bachelor of Mechanical Engineering (2010–2013), Undergraduate study of mechanical engineering His research program centers on welding technology , surface protection , and corrosion resistance , with particular emphasis on process parameter optimization. Dr. Šolić employs advanced methodologies including fuzzy logic modeling and statistical regression analysis to address complex engineering challenges in manufacturing. His scholarly output demonstrates consistent innovation in materials engineering, with recent publications revealing strong industry collaboration in automotive and shipbuilding sectors. Key research threads include computational modeling of plasma cutting processes, optimization of protective coatings, and failure analysis of welded structures. Dr. Šolić's scientific contributions have been recognized through: Academic achievement award from Slavonski Brod Welding Technology Society (2013) CEEPUS mobility fellowship at Obuda University, Budapest (2017) His teaching portfolio includes Production Processes III and Surface Protection courses, while research leadership spans multiple domains: University Research : Ni-alloy welded layer optimization and residual stress studies Institutional Projects : Technological parameter effects on material integrity European Initiatives : RCK-Slavonika 5.1 project leadership Industry Partnerships : Collaborative testing of shopprimers with industrial partners (2017, 2020) As an active member of the Croatian Society for Materials Protection and Welding Technology Society Slavonski Brod, he bridges theoretical research with practical industrial applications through interdisciplinary team collaborations within the university's production engineering facilities.

Antonio Jesús Yuste Delgadoمشاهده پروفایل

استاد

• Fuzzy Logic Systems
• Wireless Sensor Networks
• Grid Computing
• +۳ مورد دیگر

Antonio Jesús Yuste Delgado is a Professor at the University of Jaén's College of Engineering, affiliated with the Center for Advanced Studies in Information and Communication Technologies (CEATIC). His research spans fuzzy logic systems, wireless sensor networks, grid computing, and educational technology. Key contributions in Type-2 fuzzy clustering algorithms for WSN optimization Focus on gamification and competition-based learning in engineering education Interdisciplinary work in renewable energy modeling and MANET integration Recent publications emphasize adaptive energy management, student retention prediction, and competency assessment frameworks. He primarily uses ajyuste@ujaen.es for professional communication.

Florian Betzمشاهده پروفایل

پژوهشگر

• Biogeomorphology
• Interdisciplinary River Science
• Remote Sensing
• +۶ مورد دیگر

Dr. Florian Betz is a Researcher in the Department of Remote Sensing at the Institute of Geography and Geology , University of Würzburg. He leads the Earth Observation Research Cluster as Principal Investigator since 2024, focusing on satellite-based environmental monitoring. Education: M.Sc. in Environmental Processes and Natural Hazards, Katholische Universität Eichstätt-Ingolstadt (2011-2014) B.Sc. in Physical Geography, Katholische Universität Eichstätt-Ingolstadt (2007-2011) Ph.D. in Biogeomorphology from Space, Katholische Universität Eichstätt-Ingolstadt (2021) His research integrates remote sensing , GIS-based modeling , time series analysis , and machine learning to study biogeomorphology , interdisciplinary river science , ecosystem services , and social-ecological systems . Key application areas include desert riparian forests in China, hydropower impacts in Kyrgyzstan, and solar energy feasibility in Central Asia. Recent publications (2015-2024) demonstrate his work in spatiotemporal environmental analysis , floodplain delineation , and climate change mitigation using remote sensing. Despite no explicit awards listed, his career spans diverse projects including DFG-funded research, EU Floodplain Institute collaboration, and Stanford University visiting scholarship. He contributes to interdisciplinary research teams at the University of Würzburg's Earth Observation Research Cluster, previously working in Eichstätt-Ingolstadt's Applied Physical Geography and Trier University's Geobotany divisions. Current work focuses on data-scarce region solutions and sustainable development in arid ecosystems.

• Medical Robotics
• Rehabilitation Robotics
• Human-Robot Interaction
• +۴ مورد دیگر

Dr. Nicolás García-Aracil is an Associate Professor at Miguel Hernández University of Elche, Spain, affiliated with the Department of Systems Engineering and Automation. He serves as Deputy Director of the Institute of Bioengineering and Director of the Chair of Advanced Technologies for Rehabilitation. PhD in Robotics (Summa Cum Laude, National Research Prize, 2004) M.Sc. in Control Engineering (1996) M.Sc. in Design, Robotics and Industrial Automation (1997) B.Sc. in Electronics Engineering (1992) His research focuses on medical robotics , rehabilitation robotics , and human-robot interaction , with applications in stroke recovery , prostate cancer visualization , and assistive technologies . Recent publications emphasize dynamic adaptation , neuro-fuzzy systems , and multimodal interfaces for therapeutic optimization. Best Thesis in Robotics, National Research Prize (Spanish Federation of Automatic Control, 2004) Summa Cum Laude PhD Thesis (2004) 1st Accesit for PhD Thesis (2004) Active in European Union Horizon 2020 projects like AIDE and FP7 initiatives (ECHORD, MAAT). Serves as Editorial Board member for BioSystems & Biomechanics and has guest-edited multiple JCR journal special issues.

• Automatic Control Systems
• Energy Loss Minimisation in Electric Motors
• Fuzzy Logic Control
• +۳ مورد دیگر

Eleftheria Sergaki is a permanent Laboratory Teaching Staff member (EDIP) at the Technical University of Crete , School of Electronic and Computer Engineering and the Electrical Power Systems Laboratory . She has served the university continuously since 1985 in roles ranging from Contract Lecturer-Researcher to her current academic post. Education PhD in Electronic & Computer Engineering, Technical University of Crete, 2011 MSc in Electronic & Computer Engineering, Technical University of Crete, 1997 BSc in Physics, Aristotle University of Thessaloniki, 1985 Research Interests Her research lies at the intersection of automatic control, energy efficiency and machine learning . Core themes include the design of fuzzy-logic-based control algorithms that minimise energy losses in electric motors—work that has yielded an individual 2008 patent—the application of machine-learning techniques for predictive modelling of physical processes, and the development of AI-assisted diagnostic algorithms for medical imaging. Across these areas she leverages techniques such as adaptive control, artificial neural networks, neuro-fuzzy systems, discrete wavelet transforms and convolutional neural networks, bridging power engineering, biomedical engineering and computer science. Publication Trends Her 27 peer-reviewed works (2000–2023) exhibit a clear trajectory: early contributions focused on laser instrumentation and physics education shifted after 2006 toward electric-motor efficiency optimisation and advanced motor-control algorithms , and since 2018 have expanded into deep-learning applications in medical imaging , particularly capsule endoscopy and brain-tumour detection. Scientific Awards & Distinctions Teaching Work Award (EDIP) – Senate of the Technical University of Crete, 2018 National distinction – Greek delegation leader, International Physics Teaching Conference, CERN Distinction – Panhellenic Physics Construction and Experiment Competition, National Research Foundation 2 nd eligible contractor – national educational textbook authoring programme Grants, Projects & Service Scientific Project Manager, EPEAEK Project (Greek National Research Council), 1998–2000 Evaluator, IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems, Elsevier journals, etc. Co-author, Laser: Working Principles and Applications (Evgenidis Foundation, 2008) Laboratory & Team Affiliations She is a key member of the Electrical Power Systems Laboratory , where she co-supervises student projects and experimental work. Previously she co-founded and worked in the Laboratory of Matter Structure & Laser Physics (TUC) from 1985 to 2013, contributing to its establishment and instrumentation.

• game theory
• dynamic logic
• counterfactual logic
• +۳ مورد دیگر

Ondrej Majer is a Senior Researcher at the Department of Logic, Institute of Philosophy, Academy of Sciences of the Czech Republic. He holds a Doctor of Natural Sciences (RNDr.) degree in Game Theory and a Candidate of Sciences (CSc., equivalent to PhD) in Logic. Education : Faculty of Mathematics and Physics, Charles University in Prague (Theoretical Cybernetics, Mathematical Informatics and Control Theory, 1986); Faculty of Music and Drama, Charles University in Prague (Game Theory); Institute of Philosophy, Academy of Sciences of the Czech Republic (Logic, CSc.) Areas of interest : game theory, dynamic logic, counterfactual logic, modal logic, fuzzy logic, and fundamentals of probability Majer has delivered over 50 lectures at international conferences, including key presentations on epistemic logics, paraconsistent reasoning, and many-valued logics. His research focuses on integrating logical frameworks with probability theories to model uncertainty and inconsistency in information systems. He has participated in 16 national and international projects, including grants from GAČR (Czech Science Foundation), DFG (Germany), and FWF (Austria). Notable projects involve reasoning with graded properties, paraconsistent epistemic logics, and modeling vague quantifiers in mathematical fuzzy logic. Majer has collaborated extensively, publishing two-layered logics, truth-maker semantics, and belief function models over non-classical logics. His work bridges formal logic, philosophical inquiry, and computational reasoning.

• Metal Processing
• Metallurgy
• Powder Metallurgy
• +۴ مورد دیگر

Marek Wojtaszek is a university professor at the AGH University of Science and Technology , affiliated with the Faculty of Metals Engineering and Industrial Computer Science. He works in the Department of Plastic Metal Processing and Extractive Metallurgy, conducting research at the intersection of materials engineering and computational methods. Current role: Professor Location: Room 103, B-4 building Contact: wojtaszek@agh.edu.pl , marek.wojtaszek.krakow@gmail.com Research Focus : Professor Wojtaszek specializes in hot deformation behavior of metallic materials, particularly titanium and nickel-based alloys. His work combines powder metallurgy with advanced modeling techniques like fuzzy logic and finite element analysis to optimize forging processes and predict microstructural evolution. Publication Trends : Recent publications emphasize digital infrastructure for autonomous forging systems, microstructure prediction models, and computational analysis of thermomechanical processes. His research spans both traditional metallurgy and computational approaches to materials processing. Hot forging optimization Powder metallurgy techniques Fuzzy logic in process modeling Microstructure prediction frameworks Deformation behavior analysis Industrial process verification

• Control and Automation
• Robotics
• Mechatronics
• +۳ مورد دیگر

Cenk Ulu serves as an Associate Professor in the Department of Mechatronics Engineering at Yildiz Technical University's Faculty of Mechanical Engineering, Istanbul, a position held since October 2018 following 11 years as Chief Senior Researcher at TUBITAK Marmara Research Center's Energy Institute (2007-2018). His academic credentials include: B.Sc. in Electrical Engineering, Yildiz Technical University (2004) M.Sc. in Control and Automation Engineering, Istanbul Technical University (2007) Ph.D. in Control and Automation Engineering, Istanbul Technical University (2013) Research focuses on Control and Automation systems with significant contributions to Robotics, Mechatronics, and Artificial Intelligence applications. His work spans industrial automation, field/service robotics, simulation modeling, fuzzy systems, and pattern recognition, evidenced by 53 Web of Science publications and an h-index of 65. Current investigations integrate machine learning with control theory for autonomous systems. No scientific awards were documented in the source materials. Academic leadership includes 11 thesis advisories across graduate programs and participation in 6 research projects, primarily addressing mechatronic system optimization and intelligent control solutions. His laboratory work emphasizes practical implementations in robotics and industrial automation.

Manuel Valverde Ibáñezمشاهده پروفایل

دانشیار

• Electrical Engineering
• Control Systems Engineering
• Electric Power Systems
• +۷ مورد دیگر

Manuel Valverde Ibáñez is an Associate Professor at the University of Jaen, Department of Electrical Engineering. His career spans advanced research in energy systems and cloud computing, with a focus on integrating renewable energy solutions and optimizing virtual machine migration frameworks. Education: Doctorate from UNED (2006) with thesis on fuzzy logic control in solid oxide fuel cells. Research Interests: Design and control of power systems for fuel cells and microturbines. Energy sustainability in cloud data centers using AI-driven migration strategies. Application of generative AI and H5P tools in electrical engineering education. Integration of Google Workspace for academic management in higher education. Publication Trends: Recent works (2021–2025) highlight cross-disciplinary innovation, merging cloud computing with energy sustainability (e.g., VM migration frameworks) and advancing educational technologies for electrical engineering curricula.

• Machine Learning
• Data Analysis
• Energy Efficiency
• +۳ مورد دیگر

Mengjie Han serves as Associate Professor in Microdata Analysis and Senior Lecturer in Data and Information Management within the Department of Information and Technology at Dalarna University. Her academic profile demonstrates a strong interdisciplinary focus connecting computational methods with sustainability applications. Dr. Han's research interests center on applying machine learning and artificial intelligence techniques to solve complex sustainability challenges, particularly in urban environments and energy systems. Her work spans multiple domains including positive energy districts characterization, human mobility prediction, building energy optimization, and advanced classification methods. She has developed expertise in integrating fuzzy logic, genetic algorithms, and natural language processing with practical engineering applications to improve energy efficiency in buildings and transportation systems. Analysis of her recent publications reveals a clear trajectory toward increasingly sophisticated applications of AI in sustainability contexts, with notable emphasis on positive energy districts research. Her 2024-2025 publications demonstrate methodological innovation in multi-label classification, fuzzy decision systems, and optimization algorithms specifically tailored for energy applications. The interdisciplinary nature of her work bridges computer science, urban planning, and environmental engineering. Dr. Han teaches advanced courses that reflect her research expertise, including Research Methodology (GIK34Y), Complexity and operations analysis methods (AMI23C), and Applied Big Data and Cloud Computing (GIK2Q3). These courses provide students with both theoretical foundations and practical applications of data science methods.

Gregory NAINمشاهده پروفایل

پژوهشگر

• Software Engineering
• Home Automation
• Middleware
• +۴ مورد دیگر

Gregory NAIN is a researcher at INRIA Rennes, affiliated with the TRISKELL Team and Rennes 1 University. His work focuses on software engineering for home automation, middleware development, and adaptive systems. He has contributed to projects like S-Cube (a European network of excellence) and IDA (Innovation Domicile Autonomie), aiming to improve home control systems for dependent individuals. Projects: S-Cube, IDA, Kevoree Key Technologies: Middleware, Component-Based Applications, Model-Driven Engineering His publications span topics such as dynamic software product lines, fuzzy logic in touch-sensitive interfaces, and user interface adaptation. Gregory is also involved in teaching Java, embedded computing, and software modeling at the Master and Licence levels.

• Logic for Knowledge Representation
• Logics of Action and Agency
• Temporal Reasoning
• +۶ مورد دیگر

Marek Sergot is a Professor of Computational Logic at the Department of Computing, Imperial College London . His research spans logic-based approaches to knowledge representation, normative reasoning, and computational models of agency and action. Research Interests Logics of action and agency Temporal and normative reasoning Legal reasoning and deontic logic Formal theories of organisations Publications His work includes 15 recent articles on topics such as temporal logic, non-monotonic reasoning, and applications in bioinformatics. Key areas include event calculus, security protocols, and the action language C+. Scientific Awards No specific awards are listed in the provided materials.

• Remote Sensing
• Forest Management
• Bark Beetle Detection
• +۵ مورد دیگر

Peter Surový is an Associate Professor at the Czech University of Life Sciences Prague (CZU), where he serves in the Department of Forest Management and Forest Conservation within the Faculty of Forestry and Wood Technology. He also holds the position of Vice-Chairman of the Academic Senate Dean's Board of the Faculty of Law at CZU, demonstrating his cross-disciplinary engagement within the university. Dr. Surový's research focuses on the application of advanced remote sensing technologies in forest management and conservation. His work spans multiple areas including: Utilization of satellite imagery and UAV/drone technology for forest health monitoring Bark beetle detection and forest disturbance assessment Forest fire risk modeling and assessment Drought impact analysis on forest ecosystems Development of innovative methods for forest inventory and mensuration His recent publications highlight a strong emphasis on integrating artificial intelligence with remote sensing data to address pressing forest management challenges. Dr. Surový has been particularly active in developing early warning systems for forest disturbances and creating practical tools that can be implemented by forest managers. His research often involves international collaborations, with projects extending to tropical forests in Ghana and Angola, demonstrating the global relevance of his work. Dr. Surový has been involved in several significant research projects including: "Mapping of forest health status, tree species, and forest risks using innovative ICT data and approaches" (TA0 2021-2024) "Monitoring the status and development of bark beetle-damaged stands after the bark beetle calamity" (MZE 2021-2023) "Frameworks and possibilities of forestry adaptation measures and strategies related to climate change" (EHP 2015-2016) His methodological contributions include certified methodologies for UAV-based forest monitoring and damage assessment, which have been adopted by forest enterprises in the Czech Republic. Dr. Surový's work bridges the gap between cutting-edge technology and practical forest management applications, making significant contributions to sustainable forestry practices.

Antoni Burgueraمشاهده پروفایل

دانشیار

• Mobile Robotics
• Underwater Robotics
• Robot Localization
• +۳ مورد دیگر

Dr. Antoni Burguera serves as an Associate Professor in the Department of Mathematics and Computer Science at the University of the Balearic Islands, teaching across multiple engineering disciplines including Computer Engineering, Industrial Electronics and Automation Engineering, and the Master's program in Information Technologies. His research expertise encompasses: Mobile Robotics systems Underwater robotics applications Precision robot localization techniques SLAM (Simultaneous Localization and Mapping) algorithms Computer vision for navigation Acoustic sensor integration As an active member of the Systems, Robotics and Vision group (SRV) and the Marine Robotics and Intelligent Systems (SRV-MARIS) research consortium, Dr. Burguera specializes in developing underwater navigation systems using multimodal sensor fusion. His work addresses the unique challenges of underwater environments where traditional GPS systems are ineffective. His comprehensive teaching portfolio includes: Computer Structure II across multiple Informatics Engineering programs Industrial Automation for diverse engineering disciplines Automation and Control systems Integrated Manufacturing Systems Final Degree Projects supervision Master's Thesis guidance in Industrial Engineering Dr. Burguera also contributes to the Topological Models for Fuzzy Information Processing (MOTIBO) research group, demonstrating his interdisciplinary approach that bridges robotics with theoretical computer science.

Phillip M. Lacasseمشاهده پروفایل

استادیار

• Operations Research
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

LTC Phillip M. Lacasse serves as an Assistant Professor of Operations Research in the Department of Operational Sciences at the Air Force Institute of Technology (AFIT), assigned under a formal Memorandum of Agreement between AFIT and the U.S. Army Functional Area 49 Proponent Office. As an active-duty U.S. Army Lieutenant Colonel, his military career includes tank and scout platoon leadership, company command during Operation Iraqi Freedom, and staff roles at USMEPCOM and West Point. His academic credentials include: B.S. in Mathematics from United States Military Academy M.S. in Industrial Engineering from University of Wisconsin-Madison Ph.D. in Engineering from University of Wisconsin-Milwaukee Dr. Lacasse's research integrates Operations Research , Machine Learning , and Natural Language Processing to solve defense and industrial challenges. His work demonstrates expertise in autonomous swarm behavior for anti-access environments, emotion classification in multilingual social media, and workforce optimization for military applications. Recent publications reveal a strong focus on simulation modeling for military processing systems and defect prediction in smart manufacturing. His scholarly output shows consistent application of advanced analytics to real-world problems, particularly in military logistics (e.g., applicant scheduling simulations) and industrial systems (e.g., PCB defect prediction). Key trends include leveraging large language models for linguistic tasks and developing optimization frameworks for Army force structure analysis.