Teaching is a royal path to learning and is an art for me. In learning I will teach; in teaching I will learn. I believe that the power of reasoning, creativity, abstract or spatial thinking, critical, problem-solving ability and even effective communication skills can be improved. In this way, how I motivate the study of mathematics and statistics depends on whom I am teaching. I teach a wide range of courses in both Mathematics & Statistics, from introductory level to higher level for undergraduate students. Assessing and refining my approach to instruction in the classroom, building rapport among students, conducting clear lectures are key components of my teaching philosophy. I always like to see students at different levels develop individually and learn by challenging the students and watching them grow to their highest level of education. Since problem solving is one of the most enjoyable and rewarding experiences I have ever known, my curiosity and thirst encouraged me to be a researcher. My research incorporates a range of sub-disciplines, including time series, spatial models, asymptotic theory, and higher-order approximations and model selection. Currently I am working on post-model selection inference for different data structures.