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İsmail BayezitView profile

Assistant Professor

• Unmanned Aerial Vehicles
• Flight Control Systems
• Autopilot Design
• +3 more

Dr. İsmail Bayezit serves as an Assistant Professor in the Department of Aeronautical Engineering at Istanbul Technical University (ITU), Turkey, with active research since 2007. His work bridges aerospace and marine engineering domains, focusing on unmanned systems and control technologies. With an h-index of 8 and 321 Scopus citations across 33 research outputs, he has secured 6 major research projects including VTOL system development and marine craft autonomy initiatives. His research fingerprint reveals dominant expertise in Quadcopter Engineering (100%), Motion Control (81%), and Unmanned Aerial Vehicle systems (80%). He specializes in advanced control methodologies including extremum-seeking control, LQR techniques, and distributed control strategies. Current work extends into AI-integrated navigation systems and energy-optimized flight performance, with significant crossover applications in marine craft control and underwater acoustics. Recent publications (2024-2025) demonstrate three converging trends: optimization of electric multirotor performance through energy-aware control, neural network-assisted navigation for GPS-denied environments, and cross-domain applications of control theory to both aerial and marine systems. His work increasingly integrates artificial intelligence with traditional control frameworks while maintaining strong experimental validation through physical prototypes. Bayezit has supervised 21 students and led 6 research projects from 2017-2025, including EU-funded initiatives on VTOL systems and national projects on UAV education sets. His project portfolio shows consistent progression from fundamental control theory (2017-2019) toward applied AI integration (2023-2025), with recent work focusing on autonomous marine craft instrumentation and next-generation UAV performance optimization.

Tuna BalkanView profile

Professor

• Control Systems
• Robotics
• System Dynamics
• +5 more

Prof. Tuna Balkan is a Professor in the Mechanical Engineering Department at Middle East Technical University (METU), Ankara, Turkey. He holds a B.Sc. (1979), M.Sc. (1983), and Ph.D. (1988) from METU. His research focuses on control systems, robotics, fluid power control, and dynamic modeling. He leads the Control Systems Laboratory at METU and teaches courses such as Control Systems (ME 304), Fluid Power Control (ME 516), and Mechanical Engineering Systems Laboratory (ME 410). His work spans hydraulic actuator design, platform stabilization, and industrial robotic applications like spray painting and arc welding. Research interests include real-time control, Kalman filtering, and energy-efficient hydraulic systems. He has supervised numerous theses, including studies on hydraulic load simulators, energy-efficient actuators, and vibration-based energy harvesting. His publications cover topics like instability analysis in hydraulic systems, friction compensation in motion platforms, and microelectromechanical systems (MEMS) for energy harvesting. Prof. Balkan’s lab, Control Systems Lab (Room G-130), develops advanced control algorithms and experimental setups. His contributions to automotive safety, agricultural machinery design, and robotic spray painting have been widely recognized. He has collaborated on projects involving durability test rigs, unmanned aerial vehicles, and sensor integration for industrial applications.

Sıdıka Melek BaşakView profile

Professor

• Industrial Engineering
• Optimization
• Fuzzy Logic
• +3 more

Prof. Dr. Sıdıka Melek Başak is a faculty member at Yeditepe University , affiliated with the Faculty of Engineering and Department of Industrial and Systems Engineering . Her primary research areas include Industrial Engineering , Fuzzy Logic , and Stochastic Processes . Education: PhD in Econometrics (1987-1990), Marmara University MS in Mathematics (1978-1980), Hacettepe University BSc in Mathematics (1972-1978), Middle East Technical University Her research integrates Fuzzy Logic with optimization techniques for environmental site characterization, human mortality modeling, and migration analysis. She has developed geometric partitioning metaheuristics and fuzzy areal assessment frameworks to address complex optimization problems. Notable trends in her publications include fuzzy-based modeling for environmental systems, stochastic optimization methods, and hybrid Bayesian-fuzzy approaches for forecasting international migration patterns. Her work spans interdisciplinary applications in engineering , demographics , and public policy . Grants & Projects: Economic Costs of Violence against Young Children in Turkey (Principal Investigator, completed 2012) PURE Protection Groundwater Resources (Principal Investigator, EU-funded, completed 1999)

• Software-Defined Networking (SDN)
• Dynamic Adaptive Streaming over HTTP (DASH)
• Machine Learning
• +3 more

Cihat Cetinkaya is a Professor in the Department of Software Engineering at Mugla Sitki Kocman University. He holds a PhD in Information Technologies from Ege University and has supervised research on deep learning applications in medical imaging and network optimization for video streaming. Bachelor's: Pamukkale University - Computer Engineering Master's: Ege University - Information Technologies Doctorate: Ege University - Information Technologies His research focuses on Software-Defined Networking (SDN) , Dynamic Adaptive Streaming over HTTP (DASH) , and Machine Learning applications in network management and medical imaging. He has pioneered SDN-based architectures for secure IoT systems and optimized DASH streaming via dynamic routing and MPTCP integration. Key trends in his publications include blockchain network optimization , SDN-driven quality of service (QoS) , and deep learning for radiograph analysis . He has developed tools like NetSim for network simulation and contributed to 5G UPF design via XDP programming. Scientific Awards: Distinguished Paper Award (2017) Student Travel Grant Award (2016) Best Paper Award (2014) As Head of the Department of Software Engineering since 2021, he has taught courses in Software Ethics , Software Testing , and Software-defined Networking . He serves on academic incentive committees and international project evaluation panels.

• Building Physics
• Thermal Insulation
• Indoor Air Quality
• +7 more

Filiz UMAROĞULLARI is an Associate Professor in the Department of Architecture at Trakya University's Faculty of Architecture, where she also serves as the Director of the Institute of Science since August 28, 2024. Previously, she was Deputy Head of the Department of Architecture from January 2017 to January 2019. Her academic career at Trakya University spans from Research Assistant (1998) to Instructor (2008), Assistant Professor (2011), and finally Associate Professor (2020). She received her Bachelor's degree in Architecture from Trakya University in 1997, followed by a Master's degree in 2001 with a thesis on 'Use of Glass Material in the Building Shell,' and completed her PhD in 2011 with a dissertation titled 'Experimental and Numerical Evaluation of the Location and Thickness of Insulation in Reinforced Concrete Vertical Building Shell in Terms of Moisture Control.' Professor UMAROĞULLARI's research focuses on building physics, thermal insulation, indoor air quality, energy efficiency in buildings, green building certification, and traditional architecture. Her work explores the relationship between architectural design and environmental performance, with particular attention to moisture control in building envelopes, thermal comfort in educational facilities, and sustainable adaptation of historic structures. She has conducted extensive research on insulation placement in concrete walls and its impact on moisture management, as well as studies on CO2 and particulate matter in higher education buildings. Her publication record shows consistent output with a focus on building science topics, particularly thermal performance, indoor environmental quality, and sustainable design approaches. Recent works include analyses of Turkey's green building certification systems, energy-efficient passive design in local architecture contexts, and investigations of thermal comfort parameters in educational buildings. Her research often combines experimental methods with simulation techniques to evaluate building performance. She has contributed to numerous research projects including 'Edirne Anıtları Serisi: 1 Dini Yapılar' (2012-2015), 'Edirne de Merkezî Kamu Binalarinin Deprem Risk ve Hasar Tespitinin Belirlenmesi' (2012-2014), and 'Egitim Yapilarinda Iç Hava Kalitesinin Arastirilmasi' (2014-2016), demonstrating her commitment to both theoretical research and practical applications in the field of architecture. Professor UMAROĞULLARI teaches courses including 'Experiment Planning,' 'Climate and Building Envelope Design,' 'Architectural Representation Techniques,' 'Perspective and Shadow in Architectural Design,' 'Descriptive Geometry,' 'Building Biology,' 'Building Project,' 'Transparency in Architecture,' and 'Building Facade Systems,' covering both theoretical and practical aspects of architectural education.

• Signal Processing
• Biomedical Signal and Image Processing
• Artificial Intelligence Applications
• +5 more

Prof. Dr. Aydın Akan is a Professor at the Department of Electrical and Electronics Engineering, Izmir University of Economics. He has held academic and leadership roles at Istanbul University (1996-2017), Izmir Katip Celebi University (2017-2020), serving as Department Chair, Dean of School of Engineering and Architecture, and Director of Biomedical Test and Calibration R&D Center. B.Sc. in Electronics Engineering (1988), Uludag University M.Sc. in Electronics and Telecommunications (1991), Technical University of Istanbul Ph.D. in Electrical Engineering (1996), University of Pittsburgh His research focuses on nonstationary signal processing , time-frequency analysis , and machine learning applications to biomedical engineering and wireless communications. Recent publications emphasize EEG-based diagnostics for neurological disorders, deep learning for biomedical signal classification, and synchronization analysis in brain activity. Article trends highlight interdisciplinary work bridging neuroscience , electrical engineering , and AI , with methodologies like time-frequency transforms, CNNs, and signal decomposition applied to epilepsy, ADHD, and Alzheimer's detection. Scientific honors include: TÜBİTAK scholarship (2004) Senior Member of IEEE Signal Processing and Engineering in Medicine & Biology Societies EURASIP Biomedical Image and Signal Analytics Committee member He has participated in numerous TÜBİTAK and university-funded research projects as principal investigator or researcher, contributed to books/journals, and serves on editorial boards including Elsevier's Digital Signal Processing Journal.

Tufan KumbasarView profile

Professor

• Fuzzy Logic
• Artificial Intelligence
• Machine Learning
• +5 more

Prof. Dr. Tufan Kumbasar is a faculty member at the Department of Control and Automation Engineering , Istanbul Technical University , where he has served as a Professor since 2024. He previously held roles as Associate Professor (2019-2024), Vice Dean (2017-2020), and Guest Professor at the University of Alaska Fairbanks (2016). His research spans multiple domains in computational intelligence and control systems. PhD in Control and Automation Engineering (ITU, 2012) Postdoctoral Research (University of Essex, 2012) Master's and Bachelor's in Control and Automation Engineering (ITU, 2008 and 2006) His work focuses on Type-2 Fuzzy Logic Systems , Deep Learning Integration , and Uncertainty Quantification with applications in Drone Swarms , Autonomous Vehicles , and Medical Robotics . Recent publications highlight hybrid control methodologies combining conventional and fuzzy logic, AI-driven system identification , and real-world implementations of learning frameworks. 2023 BAGEP Science Academy Young Academician Achievement Award 2022 IEEE Türkiye Outstanding Young Scientist Award 2021 Parlar Foundation Research Encouragement Award Best Publication Awards (2015, 2018) As a Principal Investigator , he leads projects like KAYRA Search and Rescue Robot and UMAY Search and Rescue Robot , emphasizing Deep Learning-based Type-2 Fuzzy Systems and Reliable Uncertainty Quantification . His teaching innovations include transforming Feedback Control Systems into MATLAB environments via Deep Learning Pipelines .

İlker TemizerView profile

Professor

• Computational Mechanics
• Multiscale Modeling
• Multiphysics Problems
• +2 more

İlker Temizer is a Professor and Chair of Mechanical Engineering at Bilkent University, where he leads the Computational Multiscale Mechanics Laboratory (CMML). His research focuses on computational mechanics, multiscale-multiphysics modeling of heterogeneous materials, and interface behaviors. Research interests include computational homogenization techniques for materials and interfaces, thermomechanical contact problems, and isogeometric analysis. His work bridges theoretical mechanics with applied engineering solutions. Recent publications emphasize multiscale modeling in density functional theory, hydrodynamic lubrication texture optimization, and smart material design, demonstrating consistent innovation in computational mechanics methodologies.

FİDEL ÇAKMAKView profile

Associate Professor

• Mobile-assisted language learning
• Technology-based language education
• Artificial intelligence in language learning
• +7 more

Assoc. Prof. FİDEL ÇAKMAK is an academic at the Department of Foreign Language Education, Faculty of Education, Alanya Alaaddin Keykubat University. His academic journey includes roles as a lecturer and associate professor at institutions like Mersin University and Alanya Alaaddin Keykubat University. He holds a Doctorate from Boğaziçi University (2014) and has extensive experience in teacher training and curriculum development. His research focuses on mobile-assisted language learning (MALL), artificial intelligence (AI) in education, affective factors in language learning, and digital pedagogy. Notable projects include developing in-service training programs for educators and investigating the impact of AI on teacher well-being. He has also contributed to international journals like ReCALL and Computers in Human Behavior Reports . Prof. Çakmak has served on editorial boards, including CALL-EJ and Language and Technology , and is a member of organizations like EUROCALL and TESOL. His work emphasizes integrating technology with traditional teaching methods to enhance language acquisition and teacher effectiveness.

• Teacher Training For Elementary School
• Mathematics Education
• Teacher Training in Science and Mathematics at Secondary School Level
• +2 more

Orhan Çanakçı is an Assistant Professor at Marmara University , affiliated with the Ataturk Faculty of Education and the Department of Mathematics Education . His career spans over two decades, with roles including Lecturer (2008-2011) and Assistant Professor (2011-present). Doctorate in Primary School Mathematics Education (2008), Marmara University MSc in Applied Mathematics (1998), Sakarya University BSc in Secondary School Science and Mathematics Branch Education (1995), Bogazici University Çanakçı’s research focuses on mathematics education , particularly problem-solving strategies , teacher training , and technology integration in curricula. His work explores metacognitive awareness, student language comprehension, and the impact of tools like DinaSoruS on assessment systems. Recent publications analyze technology-enhanced learning , fractions comprehension , and dynamic question generation in mathematics education. He has supervised over 18 theses, including studies on trigonometry instruction , STEAM education , and mathematical language skills .

• Digital Signal Processing
• Power Quality
• Motor Current Signature Analysis
• +5 more

Prof. Levent EREN is a Professor and Vice Rector at İzmir University of Economics, leading the Faculty of Engineering's Electrical and Electronics Engineering department. He holds a Ph.D. from the University of Missouri (2002) and has extensive experience in academia and industry, including roles as Vice Dean (2014–2019) and faculty member at Bahçeşehir University (2003–2012). His research focuses on motor fault diagnosis, power quality, and digital signal processing, with over 30 journal and conference publications. Prof. EREN’s work emphasizes innovative applications of neural networks and wavelet transforms in machinery condition monitoring. He has contributed to EU-funded projects like Future Education and Training in Computing (2013–2014). His administrative roles include managing institutional research and academic policies as Vice Rector since 2019. His teaching spans courses on electrical energy conversion, digital signal processing, and senior engineering projects. He has no explicitly listed awards but is recognized for his technical contributions in motor current signature analysis and bearing fault detection.

Muhammed Fatih ADAKView profile

Associate Professor

• Computer Software
• Data Mining
• Artificial Learning
• +7 more

Muhammed Fatih ADAK is an Associate Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His work spans software engineering, artificial intelligence, and sensor systems with applications in energy, healthcare, and industrial automation. Doctorate: Sakarya University (2016) - Electronic Nose Data Classification with AI Master's: Kocaeli University (2012) - Elevator Simulator Design Bachelor's: Dokuz Eylul University (2009) - Computer Engineering Research focuses on machine learning , software testing , fuzzy logic , anomaly detection , and decision support systems . His articles (2013-2024) explore AI-driven solutions for natural gas monitoring, medical diagnostics, and industrial processes. Recent publications include systematic reviews of AI integration in software engineering phases and predictive models for gas consumption and voice pathology. He supervises graduate students and contributes to academic projects like Smart Gas Sensor Systems and Adaptive Online English Placement Exams . Teaches courses: Data Structures, Fuzzy Logic, Software Testing, Java Programming Co-authored books: Principles of Programming Languages , Visual Programming Managed EU-funded projects like HOPE (street rehabilitation) and AI-Enhanced Performance Evaluation Platforms Develops applications for visually impaired education and workplace safety systems

MEHMET BASARANView profile

Associate Professor

• STEM Education
• Curriculum Development
• Instructional Design
• +5 more

Dr. Mehmet Başaran is an Associate Professor at Gaziantep University, College of Education, Department of Educational Sciences . He specializes in curriculum and instruction, with a focus on STEM education, early childhood education, and technology integration in teaching. His career spans roles from Lecturer (2015) to current Associate Professor status (2022), alongside a post-doctorate at the University of Minnesota-Twin Cities (2024). Education : PhD in Educational Sciences (Gaziantep University, 2018), MA in Educational Programs and Instruction (Bilkent University, 2013), BA in Mathematics (Hacettepe University, 2011) His research explores: STEM education across K-12 and teacher training Computational thinking and coding for preschoolers Inquiry-based teaching and educational technology AI applications in education (e.g., ChatGPT studies) Social integration of marginalized groups Recent publications focus on digital tools for early coding, AI impact on medical education, and pandemic-era teaching challenges. He has advised 17 master’s and 1 doctoral student, contributed to 12 book chapters, and participated in TÜBİTAK projects like "STEM&Maker Teacher Training" and "Nuclear Sciences School for Teachers." Scientific awards include 2023 Gaziantep University Science Award and TÜBİTAK advisor prizes. Administrative roles include: Vice Dean (2019-2023) Quality Committee Member (2020) Research Center Deputy Director (2022)

Pelin AnginView profile

Assistant Professor

• High-Performance Mobile-Cloud Computing
• Cloud Computing and IoT Security
• Distributed Systems
• +2 more

Pelin Angin is an Assistant Professor in the Department of Computer Engineering at Middle East Technical University (METU), affiliated with the S2RL and WINS research laboratories. She holds a BS in Computer Engineering from Bilkent University and a PhD in Computer Science from Purdue University. Previously, she served as a Visiting Assistant Professor and Postdoctoral Research Associate at Purdue University. Her research focuses on High-Performance Mobile-Cloud Computing, Cloud Computing and IoT Security, Distributed Systems, Blockchain, and 5G Security. Her work addresses critical challenges in cybersecurity and efficient computing architectures for modern networked systems. Her publications exhibit strong emphasis on cybersecurity innovations, particularly intrusion detection systems, blockchain applications, and network security for IoT and 5G environments. Recent works demonstrate growing interest in AI-driven security solutions and energy-efficient computing frameworks.

• Forest Engineering
• Transportation in Forestry
• Measurement Technologies
• +11 more

Korhan Enez is a Professor in the Department of Forest Engineering at Kastamonu University, Turkey. He has held various academic and administrative roles since 2002, including Head of the Department, Board Member, and Director of Vocational Schools. His career spans institutions like Karadeniz Technical University and Kastamonu University, focusing on forest engineering and environmental science. Education: PhD in Forest Engineering, Karadeniz Technical University (2008) Master's in Forest Engineering, Gazi University (2002) BSc in Forest Engineering, Karadeniz Technical University (1997) Research Interests: Transport, measurement, and information technologies in forestry Forest fire potential mapping Pest infestation modeling Workforce ergonomics and safety Impact of forest roads on ecosystems Decomposition dynamics of logging residues Scientific Work Trends: Recent publications focus on GIS and remote sensing applications in forest fire and pest management Integration of deep learning and analytical hierarchy processes for ecological modeling Assessment of ergonomic risks in forestry operations Quantifying environmental impacts of logging and infrastructure Collaborations: Long-term partnerships with researchers like Gonca Ece Özcan, Burak Arıcak, and Temel Sarıyıldız Contributions to international projects including EU-funded FORESTVET and UN-supported Insect-IMP Advising: Mentored 7 master's and PhD students on topics like forest road impacts, fire management, and workforce satisfaction