جست‌وجوی استاد و پژوهشگر

• 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.

• Manufacturing Technologies
• Computer Aided Design
• Composite Materials
• +۱ مورد دیگر

Kenan Kütükde is an Assistant Professor at Kafkas University since 2016, affiliated with the Kazım Karabekir Technical Sciences Vocational School under the Department of Machinery and Metal Technologies. His research focuses on composite material machining, computer-aided design, and manufacturing process optimization. Education : PhD and Master's in Mechanical Education from Gazi University; Bachelor's in Machining Teaching Program from Gazi University. His research explores metal matrix composites , drilling process analysis , and manufacturing technologies , particularly using methods like the Taguchi method and grey relational analysis . Publications highlight advancements in cutting force optimization, tool wear assessment, and thermal analysis during machining of B4C-reinforced aluminum composites. Over his career, he has collaborated with researchers like Ahmet Taşkesen (5 collaborations) and contributed to 5 SCI-indexed publications. His work emphasizes improving dimensional accuracy and reducing wear in composite machining processes.

• Applied Statistics
• Statistical Analysis
• Fuzzy Logic
• +۱ مورد دیگر

Zeynep GÖKKUŞ is a Lecturer at Kastamonu University , specifically within the Computer Programming Program of the Kastamonu Vocational School . She has held this full-time position since 2023, previously working at the same institution's Computer Technology and Programming Department in the İnebolu Vocational School from 2009 to 2021. Her academic career has been consistently focused on Applied Statistics and Statistical Analysis , with additional expertise in Fuzzy Logic and Biostatistics . PhD in Statistics from Ondokuz Mayıs University (2018) MSc in Mathematics from Kafkas University (2008) BSc in Mathematics from Atatürk University (2005) Research Interests : Her work spans Statistical Modeling for agricultural and aquacultural applications, including Fuzzy ANOVA , Cox Regression , and Group Sequential Testing . She has developed innovative approaches in Multi-Criteria Decision Making for environmental assessments and contributed to Nanofiber Synthesis and heavy metal removal studies. Article Trends : Her publications (2012–2025) show increasing focus on Fuzzy Logic integration with traditional statistical methods (ANOVA, AAS), alongside applications in Aquaculture Survival Analysis and Environmental Remediation . Recent works emphasize Circular Intuitionistic Fuzzy Control Charts and Geospatial Agricultural Quality Rankings . Scientific Impact : According to Google Scholar metrics, she has 10 citations and an h-index of 2 . Her research has been published in journals like Aquaculture (SCI) and Turk Tarım ve Doğa Bilimleri Dergisi (TR Dizin), with conference presentations at international events including INFUS 2023–2024 and the International Sport Sciences Congress.

• Biomedical Signal Processing
• Artificial Intelligence
• Control Systems
• +۷ مورد دیگر

Prof. Yalçın İşler is a distinguished academic at the Rafet Kayış Faculty of Engineering, Department of Electrical and Electronic Engineering, Alanya Alaaddin Keykubat University. He holds a PhD in Electrical-Electronic Engineering from Dokuz Eylül University and has served in various administrative roles including Department Head at Izmir Katip Çelebi University (2020-2025) and Bülent Ecevit University (2010-2012).

• Textile Engineering
• Composite Materials
• Mechanical Properties
• +۳ مورد دیگر

Dr. Çiğdem SARPKAYA is an Assistant Professor at Karabük Üniversitesi, Safranbolu Meslek Yüksekokulu, Tasarım Bölümü since 2020. She has previously held full-time academic positions at Gaziantep University, Harran University, and Naci Topçuoğlu MYO. PhD & Master's in Textile Engineering from Çukurova University (2009, 2004) Bachelor's in Textile Engineering from Kahramanmaraş Sütçü İmam University (2001) Her research focuses on Textile Science , with emphasis on composite materials , mechanical properties , and statistical process optimization . She has published extensively on topics like weaving defects , sizing processes , and multi-criteria decision-making methods (e.g., TOPSIS, Grey Relational Analysis). Her recent publications (2023-2025) highlight applications of basalt/carbon fiber composites in transportation, fuzzy logic in textile defect analysis, and thermal/acoustic insulation in layered materials. She has served as a researcher in 3 university-funded projects, including a 2023-2025 study on basalt/carbon composites . Dr. SARPKAYA has supervised master's theses and co-authored 2 book chapters in Kompozit Teknolojisinde Yenilikler (2024). Her work has been cited 27 times, with a h-index of 2.

• Software Testing
• Model-Based Testing
• Software Product Lines
• +۷ مورد دیگر

Assoc. Prof. Tugkan Tuglular is affiliated with the Department of Computer Engineering at Izmir Institute of Technology, leading the Safety, Security and Reliability of Software Systems (S2RS2) Laboratory. His research focuses on software testing methodologies, model-based systems, and security applications across software product lines. His work spans formal methods for testing (e.g., event sequence graphs, feature modeling), blockchain-enhanced data sharing, and empirical software engineering. He has extensively studied automated test case generation, change impact analysis, and robustness measurement using Bayesian networks. Notable contributions include domain-specific languages for business applications and frameworks for incremental testing in evolving systems. Recent efforts explore federated platforms for source code quality analysis and AI-driven methods for completing graphical software models. His research integrates theoretical foundations with practical tools, emphasizing security and reliability across diverse software domains. Awards: No specific awards listed. Advising/Grants: No student advising records or grant details provided in the text. His lab (S2RS2) focuses on advancing software safety and security through rigorous testing and modeling approaches. Labs/Teams: Leads the S2RS2 Lab, which investigates software systems' reliability through advanced testing techniques and formal modeling.

Mesut Kartalمشاهده پروفایل

استاد

• Microwave Circuits and Systems
• Radar Systems
• Synthetic Aperture Radar (SAR)
• +۳ مورد دیگر

Prof. Dr. Mesut Kartal is a Professor at Istanbul Technical University's Department of Electronics and Communication Engineering within the Faculty of Electrical and Electronics Engineering. His expertise lies in Microwave Circuits and Systems, Radar Systems, and Synthetic Aperture Radar (SAR) Imaging. He holds a BSc (1990), MSc (1993), and PhD (2000) from ITU. Prof. Kartal has contributed significantly to research on SAR data simulation, radar signal processing, and microwave imaging technologies, collaborating on projects like the ITU SAGRES satellite ground station. His work spans theoretical advancements and practical implementations in radar systems, remote sensing, and signal processing algorithms. Education: BSc in Electronics and Communication Engineering, ITU (1990) MSc in Electronics and Communication Engineering, ITU (1993) PhD in Electronics and Communication Engineering, ITU (2000) Research Interests: Kartal focuses on microwave circuit design, SAR system engineering, radar imaging techniques, and signal processing for remote sensing applications. His recent work includes developing advanced SAR algorithms, microwave biosensors, and anti-jamming methods for 5G networks. Key Contributions: Co-developed SAR raw-data simulation tools and algorithms for real-time SAR imagery. Contributed to radar systems capable of detecting and tracking moving targets (GMTI). Explored applications of microwave imaging in biomedical and environmental monitoring. Labs/Teams: He is affiliated with the ITU VLSI Measurement Laboratories and leads research groups in radar signal processing and microwave engineering. His team collaborates on projects involving SAR data analysis, antenna design, and electromagnetic compatibility solutions.

Osman GÜNAYDINمشاهده پروفایل

استاد

• Soil Mechanics
• Rock Mechanics
• Building Materials
• +۵ مورد دیگر

Osman GÜNAYDIN is a Professor in the Department of Civil Engineering at Adiyaman University's Faculty of Engineering. With extensive experience in geotechnical engineering and construction materials, he has established himself as a leading academic in soil mechanics, rock mechanics, and building materials research. His work spans multiple disciplines within civil engineering with a focus on practical applications of theoretical principles in construction and geotechnical contexts. Dr. GÜNAYDIN earned his Bachelor's degree in Geological Engineering from Firat University (1994-1998), followed by a Master's degree in Geological Engineering (1998-2001). He completed his Doctorate in Geological Engineering at Çukurova University (2002-2007). His academic career progressed from Research Assistant at Nigde Omer Halisdemir University (2001) to Assistant Professor (2007), Associate Professor (2012), and eventually Professor at Adiyaman University. His research primarily focuses on soil mechanics, rock mechanics, building materials, and occupational health and safety. He has made significant contributions to understanding mechanical properties of construction materials, particularly concrete and rocks. His work integrates traditional geotechnical methods with modern approaches like machine learning for material property prediction. He has extensively studied non-destructive testing methods for structural assessment and investigated environmental effects on construction materials. Analysis of his recent publications reveals a strong trend toward integrating machine learning techniques with traditional geotechnical engineering methods. His research spans multiple domains including fault analysis, concrete technology, and sustainable construction materials. A notable pattern is his focus on practical applications of theoretical concepts, particularly in assessing structural integrity and material properties through innovative testing methods. His work demonstrates consistent interest in both fundamental material properties and their real-world engineering applications. Dr. GÜNAYDIN has led numerous research projects including 'Determination of Deterioration in Structures at the Old Besni Archaeological Site Using Non-Destructive Methods,' 'Evaluation of Stress-Strain Change Behavior in Concrete Using Image Processing Method,' and 'Investigation of the Natural Aggregate Potential of Adıyaman Province.' His research has been supported by multiple grants focusing on infrastructure development, material science, and geotechnical engineering applications. He has developed laboratory infrastructure for civil engineering research at Adiyaman University and has been instrumental in establishing research capabilities in concrete technology and geomechanics. His work bridges academic research with practical engineering applications, contributing significantly to both theoretical understanding and practical implementation in civil engineering.

SERHAT KILIÇARSLANمشاهده پروفایل

دانشیار

• Data Mining
• Machine Learning
• Bioinformatics
• +۲ مورد دیگر

Serhat Kiliçarslan is an Associate Professor at the Software Engineering Department of Bandırma Onyedi Eylül Üniversitesi, Faculty of Engineering and Natural Sciences. He also serves as Deputy Director of the Distance Education Application and Research Center and Deputy Head of the Software Engineering Department. His academic roles include Doctor Lecturer at Bandırma Onyedi Eylül Üniversitesi and Lecturer positions at Gaziosmanpaşa University since 2012. Education: No formal education details provided in the text. His research focuses on data mining, machine learning, bioinformatics, deep learning, and image processing. Key areas include feature extraction methods for agricultural pest classification, medical image analysis using deep learning architectures, and development of novel activation functions for neural networks. His work bridges computer science with applications in healthcare, agriculture, and industrial quality control. Recent publications (2023–2025) highlight advancements in AI-driven solutions for medical diagnosis (e.g., glaucoma, melanoma), agricultural product classification (hazelnuts, apples), and material science modeling. His research emphasizes hybrid approaches combining optimization algorithms with deep learning frameworks. Statistical Contributions: 41 articles (out of 329), 31 papers/congresses (out of 185), and 4 books/chapters (out of 46) within his department attributed to his work. No scientific awards or grant details are mentioned in the provided text. He holds student office hours on Tuesdays 11:00–13:00.

Sergey Borisenokمشاهده پروفایل

دانشیار

• Quantum Physics
• Quantum Computing
• Neural Networks
• +۵ مورد دیگر

Assoc. Prof. Dr. Sergey Borisenok is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Abdullah Gul University, Turkey (since 2014). He holds additional roles as Head of the Department of Mathematical Modeling at Modern Information Technologies, LCC (since 2013) and has served as Visiting Professor at institutions including Universiti Putra Malaysia (2013) and Government College University, Lahore (2004–2012). His academic career spans associate professorships at leading Russian institutions like Herzen State University (2002–2010) and St. Petersburg Polytechnical University (2003–2004 part-time). Education includes a Ph.D. in Theoretical Physics from St. Petersburg State University (1996), focusing on quantum field theory applications to turbulent energy spectra. Earlier, he earned his MSc in Statistical Physics (1993). His postdoctoral research included stints at Weizmann Institute of Science (Israel) and Herzen State University. Research interests revolve around quantum systems control, neuromorphic computing, and biomedical applications. Key areas include quantum batteries, superconducting qubit dynamics, epilepsy modeling via Hodgkin-Huxley networks, and quantum sensing algorithms. His work integrates control theory, statistical physics, and machine learning to address challenges in quantum technologies and neural systems. Publications emphasize innovative control algorithms for quantum systems and neuro-inspired models, with recent focus on reservoir computing networks and feedback mechanisms in quantum batteries. His contributions bridge theoretical physics with applied engineering, particularly in precision sensing and neuromorphic hardware.

Bengisen Pekmenمشاهده پروفایل

استاد

• Numerical Analysis
• Fluid Dynamics
• Heat Transfer
• +۵ مورد دیگر

Bengisen Pekmen is a Professor in the Department of Mathematics at TED University's Faculty of Arts and Sciences, serving concurrently as Vice Head of the Department. She holds a Scopus ID 57200550143 and teaches a wide range of mathematics courses, including Calculus, Linear Algebra, Numerical Methods, and Senior Project modules. Her research focuses on numerical analysis, fluid dynamics, magnetohydrodynamics (MHD), and machine learning applications in fluid flow modeling. Education: B.Sc./M.Sc./Ph.D. in Mathematics (with Physics minor) from Middle East Technical University (METU), Ankara, Turkey. Her research interests span numerical simulation of fluid dynamics problems, bioconvection flow, nanofluid behavior, and MHD effects in porous media. She employs techniques like radial basis functions (RBF), differential quadrature methods (DQM), and machine learning for predictive modeling. Publications (selected 2023–2025) analyze MHD Stokes flow, nanofluid convection in wavy enclosures, entropy generation, and bioconvection with magnetotactic bacteria. These studies emphasize interdisciplinary applications in engineering and environmental science.

Akin Oktavمشاهده پروفایل

مدرس

• Acoustic Engineering
• Vibration Analysis
• Mechanical Dynamics
• +۲ مورد دیگر

Akin Oktav serves as Lecturer in the Department of Mechanical Engineering at Alanya Alaaddin Keykubab University's Faculty of Engineering, specializing in machine theory and dynamics. Primary research focuses on acoustic engineering, vibration analysis, and noise control in automotive systems. Research expertise includes: Structural vibration analysis and damping techniques Automotive NVH (Noise, Vibration, Harshness) optimization Acoustic performance modeling of structures Experimental modal analysis and system identification Publications consistently address vibration control solutions for automotive systems, acoustic performance in built environments, and structural dynamics modeling. Recent work demonstrates advanced applications of finite element analysis for structural optimization and noise reduction. Teaches undergraduate and graduate courses including Theory of Machines, Control Systems, Mechanical Vibrations, and Dynamics. Supervises student projects in mechanical engineering design and laboratory settings.

• Blind Signal Processing
• Bayesian Estimation
• Particle Filters
• +۳ مورد دیگر

Ayşın Baytan Ertüzün is a Professor at Boğaziçi University, specializing in signal processing and statistical methodologies. Their research focuses on blind signal processing, Bayesian estimation techniques, particle filters, and seismological applications. They have contributed extensively to defect detection in textiles using advanced signal processing methods like wavelet transforms and independent component analysis, as well as geophysical signal analysis through Bayesian deconvolution approaches. Over 25 years of academic work includes pioneering work in non-Gaussian processes, time-varying autoregressive models, and particle filtering algorithms for complex signal environments. Their research bridges theoretical advancements with practical applications in manufacturing quality control and seismic data analysis. Key technical contributions include hybrid deconvolution methods for Bernoulli-Gaussian processes, subband domain subspace analysis for texture defects, and entropy-based 2D lattice filter structures. Their work often emphasizes robust statistical frameworks for non-stationary and non-Gaussian signal environments, with applications spanning from environmental forecasting (wind speed modeling) to medical signal analysis (respiratory sound coherence). Publications span from foundational 1990s lattice filter innovations to modern Bayesian approaches. Their methodologies are characterized by interdisciplinary fusion of signal processing theory with real-world industrial and geophysical challenges. No specific awards are listed in the provided materials, though their extensive publication record indicates sustained academic impact.

• Remote Sensing
• Hydrology
• Water Resources Management
• +۳ مورد دیگر

Prof. Dr. Mehmet Cüneyd Demirel is a Professor in the Department of Civil Engineering at Istanbul Technical University, specializing in Remote Sensing, Hydrology, and Water Resources Management. He has held roles including Associate Professor (2019–2024) and Doctorate Lecturer, with post-doctoral research at institutions like the Geological Survey of Denmark and Greenland and Portland State University. Education includes a PhD from the University of Twente (2008–2014), an MSc in Hydroelectronics from Istanbul Technical University (2001–2004), and a BEng in Civil Engineering from Selçuk University (1997–2001). He has held research positions globally and contributed to projects such as the EU-funded SPACE project and NASA’s Rapid Response Earth Science grant. His research focuses on distributed hydrological modeling, climate change impacts, and remote sensing applications. Key projects include developing drought indices using AI, improving groundwater anomaly estimations, and optimizing pressure management in water distribution systems. He has received awards like the ITU Project Award (2024) and is an Associate Editor for Hydrological Sciences Journal and Stochastic Environmental Research and Risk Assessment . Notable contributions include over 40 publications, 15 supervised theses, and leadership in international collaborations. His work bridges hydrological modeling, remote sensing, and sustainable water management, addressing global challenges in water resources and climate resilience.

Selin Hanife Eryürükمشاهده پروفایل

استاد

• Textile Engineering
• Thermal Comfort
• Clothing Industry
• +۷ مورد دیگر

Selin Hanife Eryürük is a Professor at the Department of Textile Engineering, Istanbul Technical University. Her research focuses on textile engineering, thermal comfort properties of fabrics, and innovative apparel manufacturing techniques. She has led projects on thermal protective clothing, surgical gown design, and lean production optimization in the clothing industry. University: Istanbul Technical University Department: Textile Engineering Roles: Academic Researcher, Project Principal Investigator Research interests include: thermal management of protective clothing, denim fabric performance, antimicrobial treatments, and digitalization of sewing lines. She has authored over 40 publications, including works on firefighter clothing thermal properties and moisture management in cotton denim. Recent projects involve: Lean Digital Model Design for Ready-Made Clothing Enterprises (BAP-funded) Multi-criteria analysis for Turkish apparel industry capacity (BAP-funded) Ultrasonic welding in surgical gown production (BAP-funded) Her work bridges material science with industrial applications, emphasizing sustainability and safety in textile production.