Ali Harun DALDALLI

My research work is positioned at the intersection of mathematical theories, software development, data analysis, and cryptographic security. In the context of educational technologies, I am working on a book project using symbolic computational tools like SageMath to enrich university-level mathematics course content in digital environments. This study explores how mathematical computations can be made more efficient and interactive through programming approaches. In the field of data analysis, I investigate a broad spectrum of statistical and machine learning models. I work on various predictive modeling techniques including linear regression, logistic regression, polynomial regression, support vector machines (SVM), decision trees, and random forest algorithms. Time series analysis, clustering algorithms, and dimensionality reduction methods also form a significant part of my research. My goal is to compare the performance of these models across different datasets and develop applicable solutions for real-world problems. In the area of cryptographic security, I am working on designing and developing original encryption algorithms. I am in the process of coding and testing my own unique encryption approaches, going beyond existing encryption techniques. These studies aim to explore innovative applications in data security and encryption technologies. All these research areas aim to combine the theoretical depth of mathematics with the practical power of software development. My objective is to strengthen the bridge between academic theories and technological applications, and to provide innovative solutions in the world of computing.