Dr. Nouman Azam is an assistant professor at the Department of Computer Science, National University of Computer and Emerging Sciences. He has over a decade of experience in research and teaching. His research work is mainly on the exploration of machine learning techniques in application areas such as bioinformatics, text summarization, text categorization, email filtering, security, recommender systems, and medical decision making. On the theoretical side, he is interested in applying the theories of rough sets, game theory, optimization, and conflict analysis to machine learning tasks. For his asters thesis, he applied different machine learning techniques to select important features in spam email filtering. For his doctoral thesis, he investigated the applications of machine learning techniques such as rough sets, game theory, genetic algorithms, gradient descent, and others to learn and extract data patterns. In the recent past, he has taught many fine learning-related courses at the undergraduate and graduate levels. MATLAB remains his number one choice for implementing ideas and converting code to meaningful software.