Dr Lecturer, Ondokuzmayıs University, Turkey
Dr. Zeynep Ilkilic Aytac is a dynamic and innovative academician serving as a Lecturer at Ondokuz Mayıs University, Yeşilyurt Demir Çelik Vocational School, Department of Mechatronics 🏫. With over eight years of teaching experience, she has contributed significantly to interdisciplinary research that merges mechatronics, artificial intelligence 🤖, and sustainable technologies 🌱. Her strong academic foundation and passion for practical innovation enable her to mentor engineering students while advancing the frontiers of medical diagnostics and control systems. She is widely recognized for her work in MEMS gyroscope control, CNN-based cancer detection, and emission modeling using AI.
Publication Profile
🎓 Education Background
Dr. Aytac earned her BSc, MSc, and PhD degrees in Mechatronics Engineering from Fırat University, Turkey . Her academic journey showcases a strong foundation in mechanical-electrical integration, AI-driven design, and intelligent control systems. Her doctoral research focused on developing robust control strategies for MEMS gyroscopes, laying the groundwork for her multifaceted research career.
💼 Professional Experience
Currently a Lecturer at Ondokuz Mayıs University, Dr. Aytac brings over eight years of higher education teaching and project supervision experience. She has led various academic initiatives and research projects that combine engineering principles with AI and sustainability 🌐. Her interdisciplinary projects have strengthened both academic and industry collaborations, reflecting her commitment to applied research and impactful innovation.
🏅 Awards and Honors
Dr. Aytac has gained recognition for her research through publication in reputable international journals and conference proceedings 🏆. Although specific awards are not listed, her extensive interdisciplinary contributions and active role in innovation-driven education suggest an academic career marked by peer respect and institutional acknowledgment.
🔬 Research Focus
Her research interests lie in the robust control of MEMS gyroscopes, artificial intelligence in medical imaging 🧠, and emission prediction from internal combustion systems using neural networks. She has also focused on CNN-based thyroid cancer detection, leveraging hybrid metaheuristic optimization algorithms like COOT, GWO, PSO, and CMA-ES. Her contributions uniquely combine mechatronics, control theory, deep learning, and sustainability for real-world applications across engineering and healthcare.
🧩 Conclusion
Dr. Zeynep Ilkilic Aytac exemplifies the spirit of modern engineering innovation—bridging theoretical knowledge with hands-on impact. Her work continues to shape the convergence of control systems, AI, and biomedical diagnostics, enriching both academic fields and practical industries 🔧🧬. Through dedicated teaching, collaborative research, and a commitment to sustainable technology, she inspires the next generation of engineers and scientists.
📚 Top Publications
AI-Based Emission Prediction Using Artificial Neural Networks Optimized by CMA-ES Algorithm.
Journal: Energy Reports, Year: 2022
Cited by: 24 articles
Robust Control of MEMS Gyroscopes Using Adaptive Sliding Mode Techniques.
Journal: Microsystem Technologies, Year: 2021
Cited by: 17 articles
Deep CNN Optimization for Thyroid Cancer Detection Using GWO and PSO.
Journal: Sensors, Year: 2023
Cited by: 12 articles
Hybrid AI Approaches in Digital Pathology: A CNN-Based Study.
Journal: IEEE Access, Year: 2022
Cited by: 9 articles
Metaheuristic Optimization in CNNs for Histopathological Image Classification.
Journal: Expert Systems with Applications, Year: 2023
Cited by: 7 articles