Muhammad Rajabinasab

Muhammad Rajabinasab is a PhD student at the University of Southern Denmark, affiliated with the Faculty of Science and the Department of Mathematics and Computer Science. His research focuses on data science and machine learning, with a particular emphasis on feature selection, synthetic data analysis, and approximate neighbor search algorithms.

• Current affiliation: PhD student, Department of Mathematics and Computer Science
• Research areas: Data Science, Machine Learning, Feature Selection, Synthetic Data, k-Nearest Neighbor Algorithms

Muhammad’s research explores dynamic evaluation metrics for feature selection, inter-dataset similarity in synthetic data, and randomized PCA forests for efficient neighbor search. His work addresses both theoretical foundations and practical applications in data mining and machine learning.

Recent publications demonstrate expertise in feature extraction, dimensionality reduction, and computational efficiency. Collaborations span institutions like IMADA (SDU) and researchers in Denmark and Finland.