kinalioglu.com is live
I built this site to bring my course syllabi, weekly teaching schedule, announcements and publications together in one place. The site is available in Turkish and English; use the TR…
Assistant Professor Selçuk University, Faculty of Science, Department of Actuarial Sciences
Dr. İsmail Hakkı KINALIOĞLU
I conduct research in artificial intelligence, machine learning, deep learning, and data science, and teach courses in programming, data mining, blockchain, and financial technologies. On this website, you can find my course materials, weekly schedule, academic publications, announcements, and articles.
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Trustworthy AI
- Medical AI
- Data Science
- Data Mining
- Large Language Models
- Blockchain
- Financial Technologies
- Programming Education
Announcements
All-
Important
Welcome to the 2026–2027 academic year
You can find the sixteen-week syllabi of this semester's courses on the Courses page and their days and times on the Weekly…
Latest writing
AllCourses
All courses- Fundamentals of Information Technology Use A hands-on course on using computers, the internet and office software effectively and safely in academic and professional work.
- Computer Programming I An introduction to programming that starts with algorithmic thinking and covers variables, control flow, data structures and functions in Python.
- Data Science with Python A hands-on walk through the full workflow of reading, cleaning, exploring and modelling data with NumPy, pandas, plotting libraries and…
- Data Mining Covers extracting meaningful patterns from large datasets through classification, clustering and association rules, with examples from insurance and finance.
- Blockchain Technologies Examines how blockchains work, from cryptographic foundations and consensus algorithms to Bitcoin, Ethereum and smart contracts, and their use in…
- Fundamentals of Computer Science A broad survey of the core ideas of computer science, from data representation and computer architecture to operating systems and…
- Computer Programming II The follow-up to Computer Programming I, covering file handling, object-oriented programming, testing, databases and web APIs in Python.
- Financial Technologies Explores FinTech fields such as digital banking, payments, crypto-assets, InsurTech, robo-advice and AI in finance through case studies.
- Database Management Systems Teaches how to design and query relational databases through entity-relationship modelling, the relational model, SQL, normalisation and transaction management.
- Visual Programming A hands-on course on building event-driven, form-based desktop applications with C# and .NET, including controls, files and databases.
- Web Design A practical course on designing accessible, responsive and fast web pages with HTML, CSS and JavaScript, from design principles to…
Recent publications
All publications-
MMAP-Net: Missing-aware multimodal fusion for multi-label retinal disease classification with score-calibrated deferral
Expert Systems with Applications, 332, 133628
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LightFloodNet: A lightweight CBAM-guided deep learning architecture with depthwise separable convolutions for SAR-based flood extent mapping
Turkish Journal of Remote Sensing, 8
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Risk-Calibrated Few-Shot Industrial Anomaly Detection with Human-in-the-Loop Inspection
Journal of Advanced Research in Natural and Applied Sciences, 12(3), 282–298
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Rare-disease spillover after medical AI unlearning: a safety audit and mitigation framework for healthcare model maintenance
International Journal of Data Science and Analytics, 22(1), 342