Researcher · Lecturer · Quality & Strategy Analyst
Working at the intersection of quality management, strategic planning, data analytics, optimization and artificial intelligence.
My work focuses on transforming complex organizational, industrial and research problems into measurable, data-driven decision frameworks.
My interdisciplinary interests span quality management, institutional strategy, performance measurement, statistical analysis, machine learning, explainable AI, optimization and decision-support systems.
I am particularly interested in research that connects rigorous analytical methods with real-world organizational and societal impact.
An interdisciplinary perspective connecting management, analytics and intelligent decision systems.
Designing measurable frameworks for institutional improvement and evidence-based strategic management.
Turning complex data into interpretable evidence, predictions and actionable knowledge.
Developing analytical and computational approaches for complex decision environments.
Selected themes shaping my current research interests.
Machine learning, quality prediction, process optimization and explainable artificial intelligence for manufacturing systems.
Performance measurement, institutional quality, strategic planning and evidence-based organizational decision making.
Metaheuristics, multi-objective optimization and intelligent decision-support models for complex systems.
Network vulnerability, stress testing and optimization approaches for resilient supply networks.
Data becomes valuable when it improves understanding, decisions and outcomes.
RESEARCH PHILOSOPHY
My complete and current publication record is maintained on AVESİS.
Academic profiles
Selected studies reflecting my work in quality improvement, optimization and higher-education quality.
A hybrid machine-learning and metaheuristic optimization approach for quality improvement in the sand casting process.
Simultaneous optimization of coating adhesion strength and galvanized consumption using Taguchi-based grey relational analysis.
Measuring the alignment of program learning outcomes with the Turkish Higher Education Qualifications Framework.
Teaching and academic activities with a focus on quality management, analytical methods and interdisciplinary research.
Institutional quality, strategic planning, performance measurement, reporting and data-supported organizational improvement.
Connecting quality principles, analytical thinking, continuous improvement and contemporary management approaches.
Interested in research, analytics, optimization, quality management or interdisciplinary collaboration?