Dr. Mualla Keten Gökkuş is a Researcher at Nevşehir Hacı Bektaş Veli University's Faculty of Engineering and Architecture, with prior affiliations at Kahramanmaraş Sütçü İmam University. She holds a PhD in Biosystems Engineering with a specialization in Land and Water Resources. Her research explores: Water-yield relationships under deficit irrigation Drought resistance mechanisms in crops like maize, sorghum, and soybean Application of stress indices (CWSI/WDI) for irrigation scheduling Agricultural technology integration including ANFIS modeling and image processing Her publications demonstrate consistent focus on optimizing water use efficiency in arid-region agriculture. Awards: TÜBİTAK Publication Incentive Award (2024) Research Projects: She has led/contributed to national projects including: Groundwater quality mapping using GIS Fertilization optimization in red pepper cultivation Maize-bean intercropping systems under water stress Currently advising one master's student, she previously held administrative roles as Deputy Director of the university's Research Center.
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.
Dr. İdris Kahraman serves as a Lecturer in the Department of Computer Engineering at Karabuk University's Faculty of Engineering, where he has held academic positions since 2010. His current role as Doctor Research Assistant (2024-present) follows over a decade as a Research Assistant, during which he completed his PhD while teaching undergraduate courses including Algorithms, Introduction to Computer Engineering, and Engineering Ethics. His educational background demonstrates progressive specialization: PhD in Computer Engineering, Karabuk University (2014-2019) Master's Degree in Computer Engineering, Karabuk University (2010-2014) Bachelor's Degree, Turkish Military Academy Command (2003-2007) Dr. Kahraman's research bridges theoretical computer science and practical geospatial applications, with four core pillars: Information Systems development, Image Processing techniques, Machine Learning implementations, and Artificial Intelligence solutions. His work consistently applies these to satellite imagery analysis, 3D modeling, and real-time detection systems, creating tangible outputs like AR tourism applications and automated protozoa identification tools. Publication trends reveal evolving expertise from foundational 3D campus modeling (2011-2013) through satellite road detection systems (2015-2017) to current biomedical and urban analytics applications. The 2024 Applied Sciences paper on real-time protozoa detection represents his most sophisticated integration of deep learning with practical instrumentation. Research funding shows sustained activity through university-supported projects since 2011: Current: Principal researcher on 3D building modeling project (2024-2026) Recent: Principal investigator for neural network road detection project (2017-2018) Historic: Multiple roles in satellite imagery and 3D campus system projects (2011-2024) Though no formal laboratory is documented, Dr. Kahraman operates within Karabuk University's collaborative research ecosystem, maintaining a decade-long productive partnership with Prof. İsmail Rakıp Karaş and contributing to the institution's geographic information systems research cluster through both technical projects and curriculum development.
Assoc. Prof. Dr. Doğan Aydoğan serves as Associate Professor and Department Head in the Department of Public Relations and Promotion at Karabuk University's Faculty of Business Administration since 2021, with administrative leadership as Head of Department (Anabilim Dalı Başkanı) since 2016. His academic journey began with a Bachelor's degree in Radio, Television and Cinema from Ege University's Faculty of Communication (2002-2006), followed by a PhD in the same field from Ege University's Institute of Social Sciences (2006-2012). His research critically intersects cinema studies and digital media psychology , with core expertise in Film Criticism, Sociology of Cinema, and Cinema Theories. Recent work examines social media addiction mechanisms, materialistic personality development, and identity construction in digital spaces, while maintaining Turkish cinema as a primary analytical lens for societal transformations. His publications reveal consistent interdisciplinary rigor, applying sociological frameworks to analyze representations of masculinity, rural-urban dynamics, and entrepreneurial identity in Turkish film. Analysis of his 15 most recent publications (2019-2025) shows a strategic dual trajectory: 60% focus on social media psychology (addiction, materialism, mental health impacts) and 40% on cinema studies (theoretical frameworks, Turkish cinema analysis). This evolution reflects adaptation to digital culture while preserving foundational film scholarship, with increasing methodological sophistication in statistical mediation analysis complementing qualitative discourse approaches. Thesis Supervision: 8 master's theses (2020-2025) on social media psychology and organizational communication Research Projects: 5 principal investigator roles (2016-2018) exploring cinema representations and social media impacts Teaching: Courses in Social Media Management, Advertising, Sociology, and Corporate Identity Dr. Aydoğan maintains active scholarly production with 33 publications including 19 journal articles, 8 book chapters, and 2 authored books, demonstrating sustained contribution to communication studies through both empirical research and theoretical advancement in Turkish academic contexts.
Selçuk KAPLAN is an Associate Professor at Adiyaman University, Faculty of Medicine, Department of Obstetrics and Gynecology. Born on July 25, 1984, he completed his medical education at Firat University Faculty of Medicine (2003-2009) and specialized in Obstetrics and Gynecology at the same institution (2011-2015). He was appointed Assistant Professor in 2017 and promoted to Associate Professor in 2021. In addition to his university position, he serves as Associate Professor at Adıyaman Private Gözde Hospital since 2021. His research interests span multiple areas of women's health including Urogynecology, Gynecological Oncology, Contraception, and management of Pelvic Benign and Malignant Masses. His experimental work frequently employs rat models to investigate ovarian function, particularly examining the effects of various compounds on oxidative stress mechanisms. Clinical research focuses on pelvic floor disorders, ectopic pregnancy risk factors, and the relationship between thyroid autoimmunity and pregnancy outcomes. Dr. Kaplan maintains an active publication record with numerous articles in international journals from 2015-2022. His research demonstrates methodological diversity, ranging from basic science animal studies to clinical epidemiological investigations and more recently, medical imaging/AI applications. His work shows particular strength in reproductive medicine and gynecological oncology research. His scientific contributions include studies on: Effects of vitamins and medications on ovarian function in experimental models Risk factors for cervical intraepithelial lesions Pelvic floor disorders in rural populations Recurrent ectopic pregnancy Thyroid autoimmunity and pregnancy outcomes Advanced imaging techniques for cancer treatment As an educator, Dr. Kaplan teaches a comprehensive range of obstetrics and gynecology topics at both undergraduate and postgraduate levels, with particular emphasis on surgical techniques, cancer screening, and management of reproductive disorders. His teaching portfolio reflects his broad clinical expertise across the spectrum of women's health care.
Hüseyin Alakuş is an Associate Professor in the Department of Surgical Medical Sciences at Adıyaman University Faculty of Medicine, specializing in surgical oncology. With over 25 years of medical experience, he completed subspecialty training in Surgical Oncology at Cumhuriyet University Faculty of Medicine. Dr. Alakuş received his medical degree from Anadolu University in 1997. His career path includes positions as a general practitioner in Adıyaman (1997-1999), Research Assistant at Akdeniz University Faculty of Medicine (1999-2004), General Surgery Specialist at Adıyaman Besni Hospital (2004-2015), and Surgical Oncology Specialist at Adıyaman Training and Research Hospital (2017-2020) before joining Adıyaman University as faculty in 2020. His research focuses on surgical oncology with particular emphasis on gastric cancer, thyroid cancer, colorectal surgery, and breast cancer. Analysis of his recent publications shows a strong interest in prognostic factors, surgical techniques, and treatment outcomes across various cancer types. His work often examines biomarkers, inflammatory markers, and innovative surgical approaches, with notable publications on Nrf2 in gastric cancer and neutrophil-lymphocyte ratio in thyroid conditions. Dr. Alakuş has received notable recognition for his work, with his article 'Does Parathyroidectomy Affect the Neutrophil/Lymphocyte Ratio, a Systemic Inflammatory Marker?' accumulating 4.8 citations as of 2022. His research demonstrates both clinical and experimental components, with several studies involving animal models to investigate surgical techniques and healing processes. He has been actively involved in mentoring students and residents throughout his academic career. His research group appears to offer opportunities in both clinical and experimental surgical oncology, with recent work including animal model studies on anastomotic healing and peritoneal defects. His collaborations with colleagues like Mustafa Göksu, Mahmut Çoraplı, and Mustafa Kaya indicate strong national research networks within Turkey's medical community.
Professor Serdar OLT is a distinguished academic in the field of Internal Medicine at Adıyaman University Faculty of Medicine, Department of Internal Medical Sciences. Born in Kahta/Adıyaman, he completed his medical education at Gaziantep University (2001-2008) followed by specialization training in Internal Medicine at Sakarya University (2009-2013). His academic career at Adıyaman University progressed from Assistant Professor (2015-2019) to Associate Professor (2019-2024) and most recently to Professor (2024-present). Dr. OLT's research primarily focuses on endocrine disorders, diabetes management, and metabolic syndrome. His work examines the relationship between inflammatory markers and metabolic conditions, thyroid disorders, and the effects of bariatric surgery on diabetes outcomes. He has published extensively on topics including vitamin B12 deficiency in diabetic patients, chemerin gene polymorphisms, and thyroid-related conditions. His research demonstrates a consistent pattern of investigating the intersection between metabolic health and inflammatory processes. His publication record includes over 50 articles, with particularly influential work on neutrophil/lymphocyte ratios in diagnosis and inflammatory markers in metabolic conditions. His research has been cited internationally, with his study on neutrophil lymphocyte ratio in brucellosis diagnosis receiving 18 citations. Dr. OLT has also authored 7 books and served as editor for 5 publications, with recent editorial work on 'Güncel Tıp 4' (2024). Publication Encouragement Award from TÜBİTAK (Turkey's Scientific and Technological Research Council) Extensive publication record with international citations Multiple book publications in Internal Medicine and Endocrinology Dr. OLT has supervised numerous research projects and served on the Non-Interventional Clinical Research Ethics Committee (2017-2020). His work demonstrates a strong commitment to advancing medical knowledge in endocrinology and internal medicine through rigorous research and academic leadership.
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.
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.
Serkan ÇİZMECİOĞULLARI is a Lecturer at Kırşehir Ahi Evran Üniversitesi's Vocational School of Technical Sciences, specializing in Electronics and Automation. His academic journey includes a PhD in Biomedical Engineering (2012-2023) from Istanbul University-Cerrahpaşa, a second PhD from Istanbul University (2012-2018), an MSc from Istanbul Technical University (2009-2011), and a second MSc from Boğaziçi University (2008-2009). He holds a BSc in Electrical and Electronics Engineering from Sakarya University (2001-2007). Current affiliation: Kırşehir Ahi Evran Üniversitesi (2023-present, full-time) Past affiliations: Biruni Üniversitesi (2021-2023, part-time), Istanbul Aydın Üniversitesi (2021-2022, part-time), Istanbul Medipol Üniversitesi (2018-2019, part-time), Nişantaşı Üniversitesi (2018-2019, part-time) His research focuses on Biomechanics , Biomedical Sciences and Technologies , and Signal Processing . Key themes include: Wearable motion capture systems for biomechanical modeling Electrophysiological effects of magnetic fields Neurorehabilitation robotics and clinical applications Signal processing for biomedical data filtering The 14 listed publications (2018-2024) demonstrate expertise in biomedical engineering, signal processing, and rehabilitation technology. Collaborations span institutions like İzmir Ekonomi Üniversitesi, Bezm-İ Âlem Vakıf Üniversitesi, and Girne Üniversitesi with researchers such as Aydın Akan and Yaşar Keskin. Projects include: TÜBA/TÜBİTAK-supported AC Motor Driver research (2018-2019) Modular Industry 4.0 compliant motor systems (2017-2020) Myoaction Trainer exercise technology (2024) With 28 citations and an h-index of 2, his work bridges biomedical signal processing and industrial automation applications.
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.
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.
Ahmet Fatih Kazankaya is a Lecturer in the Department of Electronics and Automation at Kırşehir Ahi Evran University's Vocational School of Technical Sciences since 2020. He holds dual PhD degrees in Computer Engineering from Selçuk University (2023) and Electrical and Electronics Engineering from Gazi University (2020), alongside an MSc in Electrical and Electronics Engineering from Van Yuzuncu Yil University (2017-2019) and a BSc in Computer Engineering from Kadir Has University (2011-2017). Education: PhD, Computer Engineering, Selçuk University (2023) PhD, Electrical and Electronics Engineering, Gazi University (2020) MSc, Electrical and Electronics Engineering, Van Yuzuncu Yil University (2017-2019) BSc, Computer Engineering, Kadir Has University (2011-2017) Research Interests: His work spans Computer System Architecture and Hardware , Data Mining , and Algorithms and Computational Theory , with a focus on Artificial Intelligence , Machine Learning , and Image Processing . His research also addresses Big Data and Computational Methods . Publications Trends: His 2020 journal article on real-coded genetic algorithms highlights his work in optimization techniques and computational intelligence. Recent 2024 conference papers (not included here due to field scope) further explore machine learning applications, particularly in classification tasks like Iris species prediction using improved KNN algorithms.
Professor Albert Güveniş is a distinguished faculty member in the Department of Biomedical Engineering at Boğaziçi University's Faculty of Engineering. Holding a PhD from Drexel University, he previously served as an Assistant Professor at the University of Pennsylvania's Radiology Department specializing in Positron Emission Tomography. His current research focuses on high-efficacy biomedical system design and cancer theranostics through molecular imaging and radiomics. His primary research interests span Molecular Imaging , Radiomics , Cancer Theranostics , and Clinical Engineering , with emphasis on improving diagnostic/therapeutic systems for cancer and Alzheimer's disease. His group develops computational frameworks for tumor delineation, radiotherapy planning optimization, and early cancer detection using PET/CT and SPECT-CT technologies. His recent publications (2019-2023) demonstrate strong focus on radiomic biomarkers for cancer staging, treatment response prediction, and tumor characterization across multiple disease sites including lung, renal, and oropharyngeal cancers. The work integrates machine learning , Monte Carlo simulations , and statistical decision theory to solve clinical challenges in precision medicine. Research Fellowship from Drexel University BUVAK Publication Award for Class A publication Best Oral Presentation Award at Budapest conference (2017) ISO Innovation Award among 5,000+ projects Reviewer Appreciation Certificate (2019) Professor Güveniş actively mentors PhD and MSc students, with recent graduates including Ayşegül Oral and Alpaslan Koç. His research receives international collaboration support, particularly with US-based cancer research laboratories. He leads projects funded by major grants including 1/2 M USD from EU educational programs. His core team includes Didar Talat, Alpaslan Koc, and Niyazi Erturk, with frequent international researcher exchanges.
Daniela Schulz is an Associate Professor at Boğaziçi University's Institute of Biomedical Engineering, where she has been teaching since 2018. She coordinates the international iNavigate project and leads research on behavioral neuroscience, neuroimaging, and animal models of psychiatric disorders. Her work bridges engineering and neuroscience to develop innovative approaches for understanding brain function and behavior, with particular emphasis on translating basic research into clinical applications. Education: BA in Psychology, Boğaziçi University (1996) MA in Psychological Sciences, Boğaziçi University (1998) PhD in Behavioral Neuroscience, University of Düsseldorf, Germany (2005) Post-doctoral training at University of Düsseldorf and Brookhaven National Laboratory (2005-2011) Research Interests: Dr. Schulz specializes in behavioral neuroimaging, particularly using the RatCAP (Rat Conscious Animal PET) scanner she helped develop, which enables PET imaging of awake, behaving animals. Her research spans multiple domains including depression models, Parkinson's disease, cognitive effort, and neurotechnology applications. She investigates how motivation, learning, and emotional states correlate with brain activity patterns, with particular focus on dopamine systems and neural circuitry involved in helplessness and despair models. Her work integrates molecular, behavioral, and imaging approaches to understand brain function in both healthy and pathological states. Publications Trends: Dr. Schulz's publication record reveals a clear trajectory from basic neuroscience methodology development to increasingly translational and interdisciplinary applications. Her early work focused on developing the RatCAP technology and establishing behavioral neuroimaging as a discipline. This evolved into sophisticated applications studying dopamine systems during natural behaviors, followed by investigations of animal models of depression and Parkinson's disease. More recently, her work has expanded to include human applications of neurotechnology and societal implications of neuroscience advances, reflecting a broader vision of how neuroscience can address real-world challenges. Grants and Leadership: Coordinator of H2020-MSCA-RISE-2019 "iNavigate" project (2023-present) PI for "Understanding societal challenges: a NeurotechEU perspective" (2021-present) Researcher for TÜBITAK "Small animal imaging application" project (2023-present) PI for BAP Start-Up "Experience-driven DBS for Parkinson's model" (2020-2023) Editorial and Professional Activities: Dr. Schulz serves as Associate Editor for Frontiers in Behavioral Neuroscience and is on the Editorial Board of Behavioural Brain Research. She has guest edited special issues on depression symptomatology and behavioral neuroimaging, reflecting her standing in these research communities. Her lab (BBL) at Boğaziçi University continues to push the boundaries of behavioral neuroscience methodology while addressing clinically relevant questions in mental health and neurological disorders.
