Mohammad Saifuddin

Professional Summary

Mohammad Saifuddin is a dedicated Assistant Professor of Statistics at the Bangladesh University of Business and Technology (BUBT), a position he has held since July 2022. With a career in academia spanning over a decade, including previous roles as a Lecturer at BUBT and Bangladesh University, he has developed a deep expertise in delivering complex statistical curricula and mentoring students. His foundational academic background includes a Master of Science and a B.Sc. (Hons.) in Applied Statistics from the Institute of Statistical Research & Training (ISRT) at the University of Dhaka, where he earned First Class honors for both degrees and received the ISRT Merit Scholarship. Saifuddin’s research profile is characterized by a strong focus on Design of Experiment (DoE), Response Surface Methodology (RSM), and Multivariate Analysis. His work frequently bridges the gap between theoretical statistics and practical applications, as evidenced by his publications on optimization in pharmaceutical formulations, time series forecasting for aquaculture, and mathematical modeling of co-infection dynamics. He is highly proficient in advanced data analytics, utilizing a technical toolkit that includes R, Python, and SQL, alongside specialized software like SPSS and Minitab. In addition to his teaching and research, Saifuddin has demonstrated a commitment to continuous professional development, recently completing a Machine Learning Specialization through DeepLearning.AI in October 2025. His global communication skills are further validated by an IELTS overall band score of 6.5. Through his diverse publication record and his role as a researcher, he continues to contribute significantly to fields ranging from economic development to health science and industrial optimization.