جست‌وجوی استاد و پژوهشگر

• Industrial Engineering
• Maintenance and Reliability Engineering
• Data-driven Decision Making
• +۴ مورد دیگر

Sara Antomarioni is a Researcher at the Department of Industrial Engineering and Mathematical Sciences (DIISM) within the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. Her work focuses on industrial engineering with particular emphasis on maintenance strategies, data-driven decision making, and sustainable technologies in various industrial contexts including maritime transportation and manufacturing systems. Dr. Antomarioni's research spans multiple key areas in modern industrial engineering. She specializes in applying data mining and machine learning techniques to solve complex production and maintenance problems. Her work bridges traditional engineering practices with cutting-edge digital technologies, particularly in the areas of Total Productive Maintenance (TPM), predictive maintenance, and Industry 4.0 applications. She has developed innovative frameworks combining association rule mining with mathematical models to optimize production scheduling and maintenance strategies across various industrial sectors. Her publication record demonstrates a strong focus on practical applications of advanced analytics in industrial settings. A significant portion of her recent work addresses sustainability challenges in maritime transportation, particularly through carbon capture technologies. She has also developed approaches combining data mining with augmented reality for applications in diverse industries including fashion. Her research consistently emphasizes the integration of theoretical models with real-world case studies, ensuring practical relevance and applicability of her findings. Dr. Antomarioni has contributed to numerous research projects focusing on industrial maintenance optimization, production efficiency, and sustainable engineering solutions. Her work often involves collaboration with industry partners to implement data-driven approaches for improving operational performance and environmental sustainability.

• Perception and Robotics
• Computer Vision
• Unmanned Aerial Vehicles (UAVs)
• +۴ مورد دیگر

Claude PEGARD is a University Professor of Perception and Robotics at Université de Picardie Jules Verne (UPJV) , France, affiliated with research unit UR 4290. His office is located in PR-305 and he can be reached via internal phone extension 5922. His research lies at the intersection of computer vision, robotics, and intelligent control . Over three decades he has advanced autonomous navigation of aerial vehicles , sensor fusion between infrared and visible cameras , robust human detection , and fuzzy-logic-based flight control . Recent work explores AI applications in healthcare , highlighting both opportunities and ethical limits. Vision-based UAV navigation and path planning Photometric visual servoing for micro-air vehicles Multi-spectral human detection for search-and-rescue Nonlinear and fuzzy control of quadrotor platforms His publication trajectory from 1990-2024 shows a clear evolution from foundational work on omnidirectional vision and mobile-robot localization to cutting-edge neural-network-driven control and AI ethics. The 2020-2024 articles emphasize AI integration in safety-critical systems , robust control under uncertainty , and real-time vision algorithms . Laboratory & Teams: While the specific laboratory name is not stated, Prof. PEGARD leads activities within the Perception and Robotics group at UR 4290, mentoring graduate students and collaborating on UAV platform development and vision-based control systems.

• Fuzzy Logic
• Artificial Intelligence
• Decision Theory
• +۳ مورد دیگر

Prof. Rashad Aliyev serves as a faculty member in the Department of Mathematics at the Faculty of Arts and Sciences, Eastern Mediterranean University (EMU), holding the academic rank of Professor. Based in office AS144, he can be contacted at +90 392 630 1008 or rashad.aliyev@emu.edu.tr. His educational background includes: Dr. Sc. (2000) in Control Systems from Tashkent State Technical University PhD (1992) in Control Systems from Azerbaijan State Oil Academy BS (1992) in Control Systems from Azerbaijan State Oil Academy MS (1992) in Control Systems from Azerbaijan State Oil Academy Prof. Aliyev's research centers on Fuzzy Logic with significant contributions to Decision Theory and Artificial Intelligence . His work spans Fuzzy Rule-based Systems , Z-Numbers , Type-2 Fuzzy Logic , and Fuzzy Game Theory , extending to Knowledge Representation , Neural Networks , and Time Series Forecasting . His methodologies bridge theoretical frameworks with practical applications in computational intelligence. He has supervised 21 graduate students (6 PhD and 15 Master's), guiding research in fuzzy decision systems, AI applications, and computational modeling. His advisees have developed solutions for credit scoring, traffic control, hotel occupancy prediction, and constraint satisfaction problems, demonstrating the real-world impact of his academic leadership.

• Wireless Communication
• Cognitive Radio Networks
• Network Protocols
• +۴ مورد دیگر

Urban Bilstrup is a Senior Lecturer at the School of Information Technology, Halmstad University. His professional role focuses on advancing wireless communication technologies and computational intelligence applications. Research Interests: Dr. Bilstrup's work spans wireless network optimization, cognitive radio systems, and predictive modeling using computational intelligence. His research includes solar activity forecasting, cyber conflict analysis, and military communication protocols. Publications: His scholarly output demonstrates expertise in ad hoc networks, dynamic spectrum allocation, and neuro-fuzzy systems for space weather prediction, with a publication history from 2000-2020.

Feza Buzlucaمشاهده پروفایل

دانشیار

• Computer Software
• Computer and Communication Networks
• Object-Oriented Modeling
• +۴ مورد دیگر

Assoc. Prof. Feza Buzluca is affiliated with Istanbul Technical University as an Associate Professor in the Faculty of Computer and Informatics, Department of Computer Engineering . His academic career spans over two decades at ITU, including administrative roles like Vice Dean (2015-2018) and Faculty Board Membership (2016-). PhD in Control and Computer Engineering from Istanbul Technical University Fields: Computer Software, Communication Networks, Object-Oriented Modeling, Microservices His research focuses on software quality assessment , particularly for microservices architectures using fuzzy logic and code metrics. He explores object-oriented systems through machine learning for defect prediction, module extraction, and design pattern analysis. Recent work includes embedded software testing prioritization and cognitive radio network optimization . Key projects: Personal website and ORCID profile highlight 41 research outputs (2001-2024) and 1 project on microservices-based e-payment systems . Collaborations span IEEE/ACM conferences and journals like Journal of Systems and Software . Contact: Office 4318, Ayazaga Campus, 34000 Istanbul | buzluca@itu.edu.tr

• Sustainable Manufacturing
• Dry Machining Processes
• Fixture Design and Optimization
• +۵ مورد دیگر

Prof. Đorđe Vukelić is a Full Professor at the Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects within the Faculty of Technical Sciences, University of Novi Sad. With over two decades at the institution, his academic career spans roles from Intern Assistant to Full Professor since 2020. Bachelor's Degree (2000): Mechanical Engineering, Faculty of Technical Sciences Magister (2005): Mechanical Engineering, Faculty of Technical Sciences PhD (2010): Mechanical Engineering, Faculty of Technical Sciences His research focuses on sustainable manufacturing, fixture optimization, and life cycle assessment. Key contributions include: Advancements in dry machining processes to reduce environmental impact Innovations in high-stiffness burnishing tools for precision manufacturing Eco-design methodologies for industrial tools and plastic products Development of 3D digitization techniques for multi-material components His recent publications in Journal of Cleaner Production , Measurement , and International Journal of Advanced Manufacturing Technology highlight trends in: Environmental impact reduction through process optimization Integration of multi-criteria decision-making in sustainability assessments Improving clamping efficiency via contact interface modeling Advanced surface reconstruction methods for industrial imaging Prof. Vukelić has contributed to international research projects and serves on editorial boards of journals like Measurement and International Journal of Precision Engineering and Manufacturing . His work bridges manufacturing innovation with ecological responsibility.

Emmanuel Ndashimyeمشاهده پروفایل

استاد آموزشی

• Internet of Things
• Mobile Communication Systems
• Network Security
• +۴ مورد دیگر

Emmanuel Ndashimye is a Teaching Professor at Carnegie Mellon University Africa. He holds a PhD in Computer Science from Auckland University of Technology (2018), an MSc in Communication and Information Systems (with Distinction) from Huazhong University of Science and Technology (2009), and a BSc in Electronics and Telecommunication Engineering from the University of Rwanda (2005). His research integrates IoT, machine learning, and network technologies to address practical challenges in agriculture and infrastructure. Key focus areas include: IoT-enabled pest/bird monitoring using acoustic sensors and radar systems 5G/LTE network optimization for high-mobility environments Smart irrigation and water management solutions Network security frameworks for IoT deployments Recent publications (2021–2025) demonstrate a strong trend toward applying computational techniques to Rwandan agricultural contexts, with innovations in acoustic pest detection, weather radar analytics, and resource optimization systems. His work consistently bridges theoretical models with field validations in African settings. Honors include : MSc awarded With Distinction IEEE membership Editor for Engineering Science & Technology (2019–2022)

John K. Christiansenمشاهده پروفایل

استاد

• Project Management
• Innovation Management
• Product Development
• +۵ مورد دیگر

John K. Christiansen is a Professor at the Department of Operations Management , Copenhagen Business School , specializing in Project Management , Innovation Management , and Product Development . His work combines Action Research and Socio-Technical Systems to address organizational challenges in innovation processes.

Esra Dinlerمشاهده پروفایل

استادیار

• Operations Research
• Supply Chain Management
• Modeling and Optimization
• +۵ مورد دیگر

Dr. Esra Dinler serves as an Assistant Professor in the Department of Industrial Engineering at Baskent University's Faculty of Engineering, where she teaches Production Planning, Operations Research, and Supply Chain Management courses. With a PhD from Gazi University (2015) and prior degrees from Baskent University, she maintains an active research profile with 15 journal articles, 17 conference papers, and 4 book chapters through 2025. Education PhD in Industrial Engineering, Gazi University, 2015 MSc in Industrial Engineering, Baskent University, 2007 BSc in Industrial Engineering, Baskent University, 2005 Research Focus Her work centers on Operations Research and Supply Chain Management , specializing in ergonomic job rotation for automotive assembly lines, fuzzy logic applications in defense project risk management, and combinatorial optimization for travel routing problems. She integrates multi-objective mathematical modeling with real-world industrial case studies, particularly addressing challenges in bearing manufacturing, fighter aircraft development, and hazardous material recycling. Publication Trends Recent publications (2023-2025) demonstrate increasing emphasis on intuitionistic fuzzy sets for decision-making under uncertainty and selective clustered traveling salesman problem variants. Her research bridges theoretical optimization techniques with practical applications in defense projects (e.g., obsolescence risk management) and sustainable operations, showing strong interdisciplinary collaboration across engineering domains. Academic Contributions Dr. Dinler's teaching portfolio includes END 434 (Production Planning), SOS 222 (Operations Research), and specialized courses in supply chain management. Her office hours and structured course schedule reflect dedicated student engagement, though no formal advisee lists or grant details appear in the source materials. With an h-index of 3, her scholarly impact focuses on translating complex optimization models into actionable industrial solutions.

Stanislao Graziosoمشاهده پروفایل

استادیار

• Soft Robotics
• Nonlinear Modeling
• Bio-inspired Design
• +۴ مورد دیگر

Stanislao Grazioso serves as Assistant Professor in the Department of Industrial Engineering at the University of Naples Federico II (UNINA), where he leads the BIOIC (Bioinspired soft robotic systems for cognitive production) project. His work focuses on transforming manufacturing through soft robotic technologies, with expertise spanning design, modeling, and control of compliant robotic systems for industrial and biomedical applications. Education: Bachelor of Science in Mechanical Engineering, University of Naples Federico II Master of Science in Mechanical Engineering, University of Naples Federico II Ph.D. in Industrial Engineering, University of Naples Federico II (2018), specializing in soft robotics Research Focus: Dr. Grazioso investigates the entire soft robot development lifecycle, emphasizing innovative design concepts for variable-stiffness actuators, advanced modeling using Cosserat rod theory and finite element methods, and human-robot interaction for safe collaboration. His research platforms include soft grippers for agrifood automation, continuum manipulators for confined spaces, and exoskeletons for industrial assistance. Key applications target nuclear remote handling (DTT fusion reactor), biomechanical analysis, and cognitive manufacturing systems. Publication Trends (2022-2024): Recent work demonstrates accelerating innovation in soft growing robots for remote sensing, bioinspired grippers with embedded adhesion mechanisms, and wearable biomechanics for athlete monitoring. His publications bridge theoretical modeling (e.g., screw theory for continuum robots) with industrial implementation, particularly in fusion reactor maintenance and agrifood automation, reflecting strong technology transfer orientation. Project Leadership: As BIOIC project lead, he drives integration of biological principles into manufacturing robotics. His involvement in DTT remote handling and NEFERTARI projects highlights expertise in nuclear robotics, while collaborations with clinicians demonstrate commitment to medical applications like soft exoskeletons for rehabilitation. Current efforts focus on virtual reality integration for ergonomic workplace assessment and EMG-based wearable systems.

Alireza Sanaeiمشاهده پروفایل

مدرس

• Gait Analysis
• Mechatronics
• Sensors and Wearable Technology
• +۲ مورد دیگر

Alireza Sanaei is a Lecturer in the School of Engineering and the Built Environment within the Faculty of Science and Engineering at Anglia Ruskin University (ARU). His expertise spans Electrical and Electronic Engineering with specialized focus on wearable technology development, algorithm optimization, and forensic audio signal processing applications. His academic credentials include: MPhil in Audio Forensics BEng (Hons) in Electronic Engineering Dr. Sanaei's research integrates wearable technology for extreme sports performance enhancement through tactile motion instruction systems and forensic audio analysis using electric network frequency authentication methods. His work in gait analysis and mechatronics directly supports rehabilitation applications, while sensor development and digital signal processing expertise enables serious game implementations for motor impairment therapy. Analysis of his 2014-2018 publications reveals a clear trajectory toward applied rehabilitation technology, with increasing emphasis on wearable sensor integration (Kinect, Myo armband) and adaptive control systems in therapeutic gaming environments. His foundational work in audio forensics remains relevant to digital evidence authentication protocols. Professional recognition includes: Fellow of the Higher Education Academy (FHEA) Dr. Sanaei teaches core engineering subjects including Digital Electronics, Audio Electronics, and Signals and Control Systems. His industry background includes embedded AV system development at AV Niche Recording Systems Ltd (2008), and he previously held leadership positions in the Institution of Engineering and Technology (IET) as Secretary (2006) and Chairman (2007) of the Younger Members' Section. He operates within ARU's Medical Technology Research Centre framework and maintains active professional memberships in the Institution of Engineering and Technology (MIET) and Audio Engineering Society (AES).

• Quality Control
• Statistical Analysis
• Artificial Neural Networks
• +۳ مورد دیگر

Prof. Ahmet Sermet Anagün serves as Professor and Head of the Department of Industrial Engineering at Izmir University of Economics, Faculty of Engineering since September 2017, with administrative leadership beginning in 2019. Previously, he held equivalent roles at Eskişehir Osmangazi University (2015-2017) following a 35-year academic progression from Research Assistant to full Professor. His educational credentials include: Ph.D. in Industrial Engineering, Cleveland State University (1993) M.S. in Industrial Engineering, Anadolu University (1985) B.S. in Industrial Engineering, Anadolu University (1982) Research focuses on Quality Control and Statistical Analysis, with significant contributions to fuzzy logic applications in control charts and neural networks for biosignal processing. His methodology integrates experimental design, Taguchi techniques, and machine learning for industrial optimization problems spanning manufacturing, environmental engineering, and educational technology. Analysis of his 14 most recent publications reveals dominant trends in fuzzy control systems (60% of works) applied to quality assurance, with emerging interdisciplinary research in biosurfactant production and educational technology analysis using CHAID methods. His approach consistently bridges statistical theory with practical engineering solutions. No scientific awards were documented in the provided materials. Prof. Anagün actively supervises Master's theses and senior capstone projects across engineering disciplines, teaching core courses in Statistical Quality Control, Engineering Statistics, and Human Factors Engineering. His administrative service includes University Erasmus Coordination and KOSGEB representation, though specific grant funding details remain unlisted.

• Environmental Technologies
• Aquaculture
• Fisheries Management
• +۳ مورد دیگر

Juan Carlos Gutierrez Estrada is a Professor at the Department of Agroforestry Sciences, University of Huelva, affiliated with the Higher Technical School of Engineering. His research focuses on environmental technologies, aquaculture, fisheries management, and artificial neural networks. PhD in Environmental Technologies (2003) from the University of Córdoba Research group: RNM315 - Analysis and Planning of the Natural Environment His work bridges computational modeling with ecological and aquacultural challenges, including hydroacoustic monitoring, fish stock analysis, and sustainable water management. Articles highlight applications of machine learning, fuzzy logic, and wavelet analysis to marine ecosystems. As part of his role, he supervises research projects and contributes to academic advising, though specific student details are not listed in the provided texts.

• Nonlinear Systems
• Artificial Neural Networks
• Intelligent Communication Networks
• +۲ مورد دیگر

Kemal Cılız serves as Professor in the Department of Electrical and Electronic Engineering at Boğaziçi University, Istanbul, where he has maintained continuous academic affiliation since 1990 while concurrently driving industry innovation through IT entrepreneurship and telecommunications leadership. His academic foundation includes: B.S. in Electrical Engineering, Middle East Technical University, Turkey (1985) M.S. in Electrical Engineering, Syracuse University, USA (1987) Ph.D. in Electrical Engineering, Syracuse University, USA (1990) M.A. in International Economics, Yale University, USA (1994) Research spans theoretical and applied domains including nonlinear control systems, neural network applications in robotics, information security frameworks, and telecommunications policy analysis. His work consistently bridges mathematical rigor with real-world implementation challenges across industrial automation and network infrastructure. Publication analysis (2004-2009) reveals three dominant trajectories: (1) Adaptive control methodologies using multiple-model switching for enhanced transient performance in robotic systems, (2) Neural network integration for friction compensation and security threat detection, and (3) Policy-oriented studies of wireless network deployment in emerging markets. These threads demonstrate exceptional translational capability from theoretical control engineering to national infrastructure development. Professional recognition includes: Eta Kappa Nu engineering honor society Tau Beta Pi engineering honor society IEEE Senior Member distinction Leadership extends beyond academia through founding Infonet Information Technologies (a leading Turkish cybersecurity firm), chairing Tursign (Turkey's first digital certificate authority), and establishing the IEEE Turkey Control Systems Society chapter. While student advising details are unreported, his dual-sector impact through TÜBİSAD and TBV board positions exemplifies technology policy engagement.

Diyar Altinsesمشاهده پروفایل

پژوهشگر

• Machine Learning
• Fault-Tolerant Systems
• Predictive Maintenance
• +۴ مورد دیگر

Diyar Altinses is a researcher at the Department of Electrical Power Engineering, South Westphalia University of Applied Sciences (Soest, Germany). Holding an M.Sc. in Systems Engineering and Engineering Management (double degree from University of Bolton and FH-SWF, 2019-2021), he completed his Dr. rer. nat. in 2021 with a focus on multimodal fault-tolerance through machine learning. Research interests span Fault-tolerant machine learning for industrial sensor data reconstruction Drone logistics optimization with 5G and multimodal networks Synthetic dataset generation for industrial process modeling Self-optimizing systems in metal forming and packaging Recent publications highlight applications of neural fusion techniques in drone landing precision, imputation methods for time series decomposition, and benchmarking data-driven industrial approaches. His work connects computational techniques with real-world process optimization challenges.