جست‌وجوی استاد و پژوهشگر

Büşra ZENCİRCİمشاهده پروفایل

استادیار

• Neuroscience
• Anatomy
• Morphometry
• +۳ مورد دیگر

Dr. Büşra ZENCİRCİ is an Assistant Professor at Adiyaman University, Faculty of Medicine, Department of Basic Medical Sciences, specializing in the Anatomy department. She has established herself as a dedicated researcher and educator in the field of medical sciences with a focus on neuroscience and anatomical morphometry. Her educational background includes a Doctorate in Anatomy from Adiyaman University (2019), a Master's degree in Anatomy from Gaziantep University (2015-2019), and a Bachelor's degree in Physiotherapy and Rehabilitation from Dumlupinar University (2010-2015). She progressed from Research Assistant to Assistant Professor, with her promotion date listed as March 14, 2025. Dr. ZENCİRCİ's research focuses on neuroscience, anatomical morphometry, Alzheimer's disease, medical imaging techniques, and histological studies. Her work often involves morphometric analysis of the cerebral cortex, particularly investigating the effects of compounds like Cortexin on neurological disorders. She has developed expertise in comparative analysis of different neuroimaging methodologies and their clinical applications. Her recent publications (2023-2025) demonstrate a strong trend toward Alzheimer's disease research, neuroimaging techniques, and morphometric analysis, with significant contributions to understanding anatomical variations and their clinical implications across multiple organ systems. English (YDS) Level: C English (YÖKDİL) Level: B As an educator, Dr. ZENCİRCİ teaches Human Anatomy Practical and Theoretical courses across multiple programs at the Faculty of Medicine, including for students in both the main campus and Besni campus. She has actively addressed challenges in anatomy education, including the impact of the COVID-19 pandemic on medical teaching methodologies. Dr. ZENCİRCİ has demonstrated consistent scholarly output with numerous publications in international journals, covering diverse aspects of anatomy, neuroscience, and medical imaging. Her collaborative work with researchers like Zümrüt DOĞAN and Muhammed Emre YÜZER reflects her integration into the broader scientific community.

Akın DOĞRUمشاهده پروفایل

مدرس

• Computer Engineering
• Web Design
• Mobile Application Development
• +۵ مورد دیگر

Akın DOĞRU is a Lecturer at Adiyaman University's Besni Ali Erdemoğlu Vocational School, Department of Computer Technologies. With over 20 years of academic experience since 2001, he teaches a comprehensive range of computer technology courses at both associate degree and bachelor's levels. His educational background includes: Bachelor's degree in Mechanical Engineering from Gaziantep University (1997) Master's degree in Computer Engineering from Ahmet Yesevi University (2011) Dr. DOĞRU specializes in practical computer technologies with emphasis on web development, mobile applications, and system administration. His teaching portfolio spans foundational courses like Basic Information Technologies to advanced topics including Mobile Application Development, Server Operating Systems, and E-Commerce Programming. He has consistently taught across multiple academic years from 2006 through the current 2024-2025 term. His administrative experience includes significant leadership roles: Department Head (2002-2007, 2010-2011, 2020) Deputy Director of Vocational School (2006-2007) Deputy Head of Department (2025) Dr. DOĞRU maintains active technical expertise through his membership in the Linux Users Association and specialized certificates in Microcontroller Programming and Arduino development. His pre-academic career as a mechanical engineer (1997-2001) provides valuable industry perspective that enriches his teaching methodology and course content.

• Computer Science
• Algorithms
• Data Structures
• +۲ مورد دیگر

Mehmet Evren Coşkun is an Assistant Professor in the Department of Computer Engineering at TED University's Faculty of Engineering. His academic profile includes teaching core computer science courses such as Data Structures and Algorithms II, Computer Organization, and Software Engineering across multiple semesters. Research Focus: His work spans foundational areas of computer science, including: Algorithm design and analysis Data structure implementation Computer system architecture Software engineering principles No information is available regarding awards, grants, lab affiliations, or supervised students.

• Machine Learning
• Data Mining
• Educational Technologies
• +۷ مورد دیگر

Mustafa Yağcı is a Professor in the Department of Computer Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture. He holds a PhD in Electronics and Computer Education from Sakarya University and has dedicated his career to educational technology, machine learning, and data mining. Education : PhD (2012), MSc (2005), BSc (1996) in Electronics/Computer Education Current Role : Professor (2024-), Department Chair, Academic Council Member Research Interests : His work bridges machine learning and educational technologies , focusing on computational thinking and adaptive learning systems . Notable projects include: Brain-Computer Interface for Stroke Patients Deep Learning for Tumor Detection Real-Time Face Mask Detection Scientific Impact : With over 1600 citations (h-index:16), he has published 72 articles and led 33 research projects. Awards include TÜBİTAK's Publication Incentive and Research World's Excellent Paper Award. Advising : Supervised 10 Master's theses on topics like CNN-based facial recognition and smart home security systems . Collaborated with researchers across Turkey, Egypt, and Iraq.

• Information Security and Cryptology
• Artificial Intelligence
• Computer Software
• +۳ مورد دیگر

Mehmet Ali YALÇINKAYA is a full-time Lecturer in the Department of Computer Engineering at Ahi Evran University's Faculty of Engineering and Architecture. His academic journey includes a PhD (2020) and MSc (2015) in Computer Engineering from Süleyman Demirel University, and a BSc in Electronics and Computer Education (2012). PhD: Computer Engineering, Süleyman Demirel University (2020) MSc: Computer Engineering, Süleyman Demirel University (2015) BSc: Electronics and Computer Education, Süleyman Demirel University (2012) His research focuses on Information Security and Cryptology , Artificial Intelligence , Computer Software , and Cybersecurity . Recent work includes phishing detection systems, deep learning applications for security, and AI-driven educational tools. Key article trends: 2025: NLP for violence detection in healthcare 2024: Multilayer security frameworks, AI in education, and biometric authentication 2023: Phishing defense mechanisms and agricultural pest detection He has supervised four Master's theses and collaborated with 48 researchers. Notable projects include a BCI-supported deep learning model for motor/facial analysis (2025-2027) and AI-powered educational systems for primary schools.

• Optimization
• Artificial Intelligence
• Systems Engineering
• +۱ مورد دیگر

Fatih KESKİNKILIÇ is a Lecturer at the Vocational School of Technical Sciences of Ahi Evran University of Kirsehir , Türkiye. Current Role : Lecturer in Electronics and Automation Research Focus : Optimization, Artificial Intelligence, Systems Engineering, Production and Service Systems Management Education : PhD in Industrial Engineering (2010–2019), Sakarya University MSc in Industrial Engineering (2008–2010), Kırıkkale University BSc in Industrial Engineering (2000–2005), Sakarya University BSc in Economics (2006–2008), Anadolu University Research Trends : His work applies Artificial Intelligence and Optimization to industrial processes like heat treatment and traffic management. He explores Systems Engineering frameworks for multi-agent systems in logistics and e-learning environments. Key Publications : 2020 book on Industry 4.0, 2015 SCI-Expanded journal article on neural networks in heat treatment optimization, and 2014–2012 studies on multi-agent systems for traffic and e-learning.

• Data Structures and Algorithms
• Robotics
• Artificial Intelligence
• +۴ مورد دیگر

Mustafa AKSU is a Lecturer at Ahi Evran University, Faculty of Engineering and Architecture, Department of Computer Engineering. He holds a Doctorate (2016) from İnönü University in Computer Hardware, a Master's (2004) in Electrical and Electronics Engineering from Kahramanmaraş Sütçü İmam University, and a BSc (1998) in Computer Science Engineering from Kocaeli University. Current Position: Doctor Öğretim Üyesi (Lecturer) since 2022 Previous Role: Full-time Teaching Staff at Kahramanmaraş Sütçü İmam University (2001-2022) His research focuses on Data Structures and Algorithms , with significant contributions to skip ring/skip list innovations and their applications in robotics, artificial intelligence, and image processing. Key interests include: Algorithm optimization Machine learning applications Image segmentation techniques Mobile system development Renewable energy simulations Publications showcase expertise in data structures, robotics, and energy systems, with a recent 2024 paper on COVID-19 prediction algorithms and a 2023 book chapter on robotic simulation importance . Collaborations span institutions including İnönü University, University of Turku, and Gaziantep University. As a thesis advisor, he has guided three Master's students in 2024. Professional experience includes department chairmanship (2011-2014) and extensive teaching roles since 2001.

• Computer Software
• Programming Languages
• Green Computing
• +۳ مورد دیگر

Dr. Lecturer İbrahim ŞANLIALP is a faculty member at the Faculty of Engineering and Architecture, Ahi Evran University, specializing in Computer Hardware and Software Engineering. He holds a Ph.D. (2022) and M.Sc. (2015) in Computer Engineering from Süleyman Demirel University, alongside a B.Sc. in Electronics and Computer Education (2010). Education: Ph.D. in Computer Engineering (Süleyman Demirel University, 2015-2022) M.Sc. in Computer Engineering (Süleyman Demirel University, 2012-2015) B.Sc. in Computer Engineering (Süleyman Demirel University, 2005-2010) Diploma in Electronics and Computer Education (Süleyman Demirel University, 2005-2010) His research focuses on Computer Software and Programming Languages , with recent studies analyzing energy efficiency in code refactoring, landslide prediction using statistical methods, and machine learning applications in public health. His work spans green computing , geospatial analysis , and AI-driven classification systems. Dr. Şanlıalp has contributed to 9 publications, including 2 journal articles (SCI-Exp, TR Dizin) and 7 conference papers. His projects include "3D Environment Path-Finding Algorithms for UAVs" (2025-2026) and "Grid-Based Path Planning Simulation" (2024-2025) as principal investigator. Metrics highlight 26 total citations (Google Scholar), h-index of 1, and active collaborations with researchers from Süleyman Demirel University, Ankara Yıldırım Beyazıt University, and Niğde Ömer Halisdemir University. His teaching portfolio includes courses like "Game Programming", "Computer Concepts", and "Cybercrime" since 2022.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Assistant Professor Ayla Kayabaş is affiliated with the Faculty of Engineering and Architecture at Ahi Evran University , where she focuses on the Computer Engineering department. Her academic journey includes a PhD in Computer Engineering from Ankara Yıldırım Beyazıt University (2013-2020), a Master's Degree (2003-2011), and a Bachelor's Degree (2003-2011) from Universitaet Stuttgart. Research Interests: Her work centers on Artificial Intelligence , particularly in Natural Language Processing and Deep Learning . She has developed innovative algorithms for Turkish morphological analysis, combining finite-state automata and neural networks. Recent publications explore AI-generated text classification, reflecting her broader interest in machine learning applications. Academic Contributions: Her three key publications (2022, 2025) span neural network architectures for language processing, error correction in OCR systems, and hybrid morphological analysis frameworks. These works align with her expertise in Deep Learning , Neural Networks , and Language Modeling . Teaching and Supervision: She has supervised two Master's theses: Automatic detection of intrusion attacks in IoT networks (2023) and Student performance prediction using educational data mining (2022). Additionally, she has taught courses in Natural Language Processing, Formal Languages, Applied Machine Learning, and Software Engineering. Collaborative Impact: Collaborating with researchers from Ankara Medipol University, Ankara Yildirim Beyazit University, and Ludwig-Maximilians-Universität München, she contributes to interdisciplinary advancements in computational linguistics and AI.

• Biomedical Engineering
• Biomechatronics
• Robotics
• +۲ مورد دیگر

Mücahit Ege serves as Assistant Professor in the Software Engineering Department at the Faculty of Engineering, Istanbul Gedik University since 2024. Previously, he held Lecturer positions in the Electronics and Automation Department at Gedik Vocational School from 2012 to 2024 across multiple academic appointments. His educational qualifications include: Doctorate in Biomedical Engineering from Kocaeli University Institute of Science (2013-2023) Master of Science in Mechatronics (with thesis) from Marmara University Institute of Science (2010-2013) Bachelor's degree in Electronics and Communications Teaching (English) from Marmara University Faculty of Technical Education (2004-2010) Dr. Ege's research integrates software engineering with biomedical applications and robotic systems. His expertise spans Biomedical Engineering, Biomechatronics, and Robotics, focusing on developing computational solutions for healthcare technologies and automated systems through interdisciplinary approaches combining software development with biomedical instrumentation.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Turgut Pura serves as an Assistant Professor in the Software Engineering Department within the Faculty of Engineering at Istanbul Gedik University. He concurrently holds appointments at Gedik Vocational School's Department of Computer Technologies, demonstrating dual institutional engagement across undergraduate and vocational academic units. His educational foundation includes a Doctorate in Computer Engineering from Istanbul Aydın University (2018-2023), Master's degree in Computer Engineering (2011-2016), Bachelor's in Computer Engineering from Istanbul Cultural University (2005-2009), and Associate Degree in Computer Programming from Beykent University (2003-2005). Doctorate: Computer Engineering, Istanbul Aydın University (2018-2023) Master's: Computer Engineering (Thesis), Istanbul Aydın University (2011-2016) Bachelor's: Computer Engineering (English), Istanbul Cultural University (2005-2009) Associate Degree: Computer Programming, Beykent University (2003-2005) Professor Pura's research spans core computer science disciplines with emphasis on Database Systems, Artificial Intelligence applications, and Algorithmic theory. His work integrates theoretical computational frameworks with practical software engineering implementations, particularly relevant to modern data-intensive systems and intelligent computing solutions. No scientific awards or fellowships were documented in available institutional records. Academic service includes progressive appointments since 2019: initial Lecturer role at Gedik Vocational School, advancement to Doctor Lecturer in 2023 across both Engineering Faculty and Vocational School units, culminating in Assistant Professor position within Software Engineering Department in 2024. Contact details indicate primary campus assignment at Eagle Campus (Internal 2136).

• Data Mining
• Cyber Security
• Big Data
• +۶ مورد دیگر

Abdullah Orman serves as Assistant Professor in the Computer Technologies Department at Ankara Yildirim Beyazit University's Technical Sciences Vocational School since 2018, following his research assistant position at Gazi University Institute of Science starting in 2003. His academic qualifications include: Computer Systems Teaching (2001) Computer Engineering Bachelor's Degree (2022) Electronic Computer Education Master's Degree (2005) Electronic Computer Education PhD (2012) His research integrates computer science with transportation systems, specializing in data mining for cyber security applications, big data analytics in network optimization, and AI-driven pattern recognition. This work spans software engineering, database systems, and transportation technology innovation with practical implementations in secure network infrastructure. Dr. Orman has managed 25 national/international projects and supervised 4 theses, with research output comprising 48 Web of Science publications and 5 Scopus-indexed works reflecting significant scholarly impact.

Mehmet Saadeddin Öztürkمشاهده پروفایل

استادیار

• Biomedical Optics
• Computational Imaging
• Biomedical Instrumentation
• +۳ مورد دیگر

Mehmet Saadeddin Öztürk is a part-time Assistant Professor at Bogazici University, specializing in biomedical optics, computational imaging, and diagnostic technology development. His research integrates optical imaging, microfluidics, and AI for label-free cancer diagnostics and veterinary applications. He teaches graduate courses in biomedical optics and medical imaging with a translational engineering focus. Education Ph.D. in Biomedical Engineering, Rensselaer Polytechnic Institute (2013-2016) M.Sc. in Manufacturing Engineering, Boston University (2008-2010) B.Sc. in Electronics Engineering, Kadir Has University (2002-2006) Research Focus Dr. Öztürk's work spans four key areas: Biomedical Optics : Development of imaging/diagnostic devices Computational Imaging : Light modeling for scattering environments Biomedical Instrumentation : Hardware/software integration Preclinical/Veterinary Imaging : Small animal studies and gait analysis Publications Overview His 15 most recent publications demonstrate consistent focus on optical tomography innovations, with evolving applications in cancer diagnostics (breast cancer, glioblastoma), veterinary science (feline neuroanatomy), and thermogenetic control systems. Recent works show increased integration of AI and multimodal platforms. Awards and Honors Marie Curie Co-Fund Post-Doctoral Fellowship (EMBL, 2017-2020) Best Doctoral Thesis Award (RPI, 2016) Multiple international travel grants (ESOF 2024, WMIC 2016) Full scholarships for B.Sc. and M.Sc. degrees Professional Activities He serves as project referee for TÜBİTAK and TUSEB funding panels, reviews for leading journals including Science Advances and Nature Communications Biology , and participates in TEKNOFEST technology competitions. Current research includes developing a preclinical multimodal imaging platform for drug monitoring.

Mustafa ULAŞمشاهده پروفایل

استادیار

• Data Mining
• Big Data
• Machine Learning
• +۷ مورد دیگر

Mustafa ULAŞ is an Assistant Professor in the Software Engineering Department at Fırat University, Turkey. He also serves as a University Advisor and Coordinator of the Digital Transformation and Software Office at Fırat University since October 2020. With academic roots entirely at Fırat University, he has established himself as a prominent researcher in data science and software engineering. Born in November 1981 in Elazığ, Turkey PhD in Electrical-Electronics Engineering (2011) Master's in Computer Engineering (2006) Bachelor's in Electrical-Electronics Engineering (2003) Dr. ULAŞ's research spans multiple domains of computer science and engineering with particular emphasis on practical applications. His work bridges theoretical computer science with real-world problems in healthcare, finance, and industrial systems. Recent publications reveal a strong focus on machine learning applications, especially in medical diagnostics and explainable AI, while maintaining his longstanding interest in VLF signal analysis for earthquake prediction. His publication record shows a clear evolution from foundational work in database systems and medical imaging to cutting-edge research in deep learning and explainable AI. The most recent articles (2024-2025) predominantly focus on healthcare applications of machine learning, particularly diabetes and cancer diagnosis, while maintaining parallel research streams in industrial applications, financial analytics, and drone network optimization. This multidisciplinary approach demonstrates his ability to adapt core computational techniques to diverse problem domains. Dr. ULAŞ has been actively involved in numerous research projects, including TÜBİTAK-funded initiatives such as the 'Enriched Virtual Laboratory' and 'A New Approach in Teacher Education: Effective Blended Learning.' His project portfolio spans infrastructure development, educational technology, and advanced research applications. As an educator, he teaches courses including C Programming and Algorithms, Internet-Based Programming, Server Operating Systems, and Web Project Management. His administrative roles include serving as University Advisor and Coordinator of the Digital Transformation and Software Office at Fırat University since 2020.

GÖKÇE YILDIRIMمشاهده پروفایل

مدرس

• Machine Learning
• Optimization
• Random Number Generation
• +۴ مورد دیگر

Dr. Gökçe Yildirim serves as a Doctor Lecturer at Bingöl University's Vocational School of Technical Sciences within the Department of Machine and Metal Technologies since 2019, advancing from Lecturer (2019-2025) to her current position. Her academic foundation was built at Fırat University through sequential engineering degrees culminating in a 2024 PhD in Software Engineering. Educational background: Mechatronics Engineering BSc, Fırat University (2010-2014) Mechatronics Engineering MSc, Fırat University (2014-2017) Software Engineering PhD, Fırat University (2018-2024) Her research program centers on machine learning and optimization with distinctive expertise in chaotic-system-based random number generation . This computational focus drives interdisciplinary applications across medical diagnostics, agricultural forecasting, and gaming analytics. Recent work demonstrates sophisticated integration of nonlinear dynamics with security-critical applications, reflecting both theoretical depth and practical implementation skills. Publication analysis reveals consistent output since 2018 with accelerating international engagement. The 2023 works mark significant maturation of her research identity, particularly the Chaos, Solitons & Fractals paper establishing her innovative optimization approach for chaotic random number generators. Her portfolio shows remarkable versatility across domains while maintaining core computational methodology. Scientific recognition: No major awards documented in current records Dr. Yildirim maintains active teaching responsibilities across foundational engineering disciplines while pursuing research. Her vocational school context emphasizes practical skill development, with research directly informing curriculum design. Current publications indicate ongoing projects in secure random number generation and agricultural data mining, though specific grant details remain undisclosed. No dedicated research laboratory is documented, suggesting computational work leverages shared university resources within the vocational school's applied engineering framework.