Assist. Prof. Dr. Ali Oter, Kahramanmaras Sutcu Imam University, Turkey
Ali Öter is a dedicated scholar and interdisciplinary researcher specializing in Electrical and Electronics Engineering, Biomedical Engineering , and Artificial Intelligence . He holds academic positions at both the Department of Electronics and Automation at Kahramanmaras Sutcu Imam University and the Department of Energy Systems Engineering at Gazi University. His work bridges foundational engineering with advanced computational intelligence, with key interests in sustainable and smart energy systems , solar PV technologies, machine learning , explainable artificial intelligence (XAI), and big data analytics. Dr. Öter’s career reflects a strong commitment to integrating innovative AI methodologies with practical applications in technology and healthcare.
Profile
Orcid
Education 🎓
Dr. Öter earned his Ph.D. in Electrical and Electronics Engineering from Kahramanmaras Sutcu Imam University in 2016. During his doctoral studies, he focused on the development of intelligent systems and analytical models for use in complex engineering tasks. His academic training provided a solid foundation in electronic circuit design, signal processing, and algorithmic modeling 🔧, which naturally evolved into the adoption of AI-driven solutions. The combination of rigorous engineering education and modern computational approaches shaped his ability to address multi-domain challenges with high technical precision and scientific depth.
Experience 🏢
Professionally, Dr. Öter has served as a faculty member in both electronics and energy engineering departments, contributing significantly to curriculum development and academic mentorship. At Kahramanmaras Sutcu Imam University, he teaches and guides students in automation systems, embedded technologies, and AI integration. At Gazi University, his research focuses on the optimization of energy systems and renewable energy forecasting using artificial intelligence. He also collaborates on interdisciplinary projects that explore AI applications in biomedicine, such as diagnostic modeling and medical data interpretation. Through these roles, he has cultivated a balance between theoretical instruction and impactful applied research, engaging with industrial stakeholders and academic peers alike.
Research Interests 🤖
Dr. Ali Öter’s research focuses on the integration of artificial intelligence with engineering and biomedical applications. His work explores the practical use of machine learning and deep learning techniques for solving complex problems in energy systems, medical diagnostics, and intelligent automation. He is particularly interested in explainable artificial intelligence (XAI) methods, which aim to provide transparency and interpretability in AI-driven healthcare solutions. Dr. Öter also investigates the optimization of sustainable energy systems, with a specific focus on solar photovoltaic (PV) systems, as well as the application of AI in the modeling and simulation of semiconductor devices and materials. Additionally, his research includes the exploration of data mining and big data analytics to enhance decision-making in technological and biomedical fields.
Publication Top Note 📄
Artificial intelligence-driven data generation for temperature-dependent current-voltage characteristics of diodes
FlatChem – Chemistry of Flat Materials, 2025. DOI: 10.1016/J.FLATC.2025.100847
Cited by articles focused on AI-based semiconductor modeling .
Deep learning-based LDL-C level prediction and explainable AI interpretation
Computers in Biology and Medicine, April 2025. DOI: 10.1016/j.compbiomed.2025.109905
Referenced in biomedical AI studies for cholesterol prediction.
An artificial intelligence model estimation for functionalized graphene quantum dot-based diode characteristics
Physica Scripta, 2024. DOI: 10.1088/1402-4896/AD3515
Cited in studies related to nanomaterials and AI-based diode simulation.
Explainable artificial intelligence for LDL cholesterol prediction and classification
Clinical Biochemistry, 2024. DOI: 10.1016/J.CLINBIOCHEM.2024.110791
Mentioned in research on XAI and medical diagnostic models.
Kardiyovasküler Hastalıkların Derin Öğrenme Algoritmaları İle Tanısı
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, December 2024. DOI: 10.29109/gujsc.1506335
Referenced in Turkish-language studies on cardiovascular disease detection using deep learning.
Conclusion 🌟
Ali Öter stands at the intersection of engineering innovation and artificial intelligence application. His multidisciplinary approach has yielded contributions in both theoretical development and practical solutions, particularly in areas like sustainable energy systems and medical diagnostics. Through his work, Dr. Öter continues to drive progress in next-generation intelligent systems while fostering academic excellence and technological advancement. His research is not only academically valuable but also socially impactful, addressing real-world challenges with clarity, precision, and foresight.