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Dr. Ahasan Harun is an Assistant Professor of Business Analytics at the Satish & Yasmin Gupta College of Business. He earned his Ph.D. in Business with a concentration in Management Science from the University of North Texas, an M.S. in Statistics from Sam Houston State University, and a B.S. in Statistics from the University of Dhaka, Bangladesh. Dr. Harun’s research lies at the intersection of business analytics, artificial intelligence, and public health. He applies machine learning, explainable AI, text mining, and advanced statistical methods to address challenges in computational social science, healthcare analytics, and retail analytics. He has published in peer-reviewed journals, presented at both national and international conferences, and collaborates with interdisciplinary teams to develop data-driven solutions.
An innovative educator, Dr. Harun has developed and taught analytics courses at the undergraduate, master’s, and doctoral levels, including Applied Machine Learning and AI, Machine Learning for Business Analytics, Prescriptive Analytics, and Decision Analytics. His teaching emphasizes the integration of emerging AI technologies, industry-standard tools, and experiential projects to prepare students for data-driven leadership roles in business. He is a member of the Decision Sciences Institute (DSI) and the Southwest Decision Sciences Institute (SWDSI).
Why did you become a professor?Honestly, it clicked for me during grad school. I realized I loved both the thrill of discovering new insights through research and the energy of helping others grasp complex ideas. There is something incredibly fulfilling about seeing students light up when they understand how analytics can solve real problems. It felt like the perfect way to blend my curiosity with making a tangible difference.
What do you enjoy most about teaching?The people, hands down. Every semester brings a new group of bright, motivated students with unique goals and perspectives. Watching them grow—from struggling with a concept to confidently applying it—is the best part. And when former students reach out to say something they learned in class helped them land a promotion or solve a tough challenge? That is pure gold.
What do you hope students gain from your courses?I want them to walk out feeling capable not just with technical skills, but with the confidence to tackle messy business problems and say, “I can figure this out.” More than that, I hope they learn to ask smart questions, collaborate effectively, and explain their findings clearly. Because even the best analysis is useless if it cannot be translated for decision-makers.
What did you do prior to entering academia?I worked on projects ranging from optimizing healthcare resource allocation to helping retail chains understand customer behavior through data. It was all about turning numbers into strategies—experience that constantly reminds me to keep my teaching grounded in reality.
What are you passionate about outside of the University?I am naturally curious. So, I love experimenting with new AI tools and following breakthroughs in public health, especially where data can drive better outcomes. I also believe in giving back, volunteering with local initiatives that use analytics for community good. And when I am not glued to a screen? Traveling, exploring new places, and soaking up different cultures.
What are your research interests?I am fascinated by how AI and analytics can help make smarter decisions, particularly in improving patient care, making retail operations more efficient, or understanding how information spreads in society. For me, it is all about turning data into actionable insights and real-world impact.