Feng Mai

Feng Mai is an esteemed Associate Professor and the Area Coordinator of Information Management and Analytics at the School of Business, Stevens Institute of Technology. With a robust academic background, he earned his PhD in Operations, Business Analytics, and Information Systems from the University of Cincinnati. Prior to this, he completed his MS in Statistics at Miami University and a BA in Mathematics from Wabash College. His academic journey has been marked by a commitment to excellence and a passion for advancing knowledge in his field. Dr. Mai's research interests lie at the intersection of corporate culture, online community governance, and machine learning. His work has garnered significant recognition, earning him several prestigious honors and awards. Among these are the John L. Weinberg/IRRCI Research Paper Award, the EURO Award for the Best EJOR Paper, and the Bright Idea Award from the New Jersey Collegiate Business Administration Association. These accolades underscore his contributions to the field and his dedication to impactful research. A prolific scholar, Feng Mai has published extensively on his areas of interest, contributing valuable insights to the academic community. His work is well-regarded for its depth and relevance, addressing contemporary challenges and opportunities in information management and analytics. His research not only advances theoretical understanding but also offers practical implications for businesses and organizations navigating the complexities of the digital age. In addition to his research, Dr. Mai is an active member of professional societies such as the Association for Computing Machinery (ACM) and the Association for Information Systems (AIS). These affiliations reflect his commitment to staying at the forefront of developments in his field and engaging with a broader community of scholars and practitioners. At Stevens Institute of Technology, Feng Mai is also dedicated to teaching and mentoring the next generation of leaders in business analytics. He teaches courses on optimization, process analytics, and multivariate data analytics, equipping students with the skills and knowledge needed to excel in a data-driven world. His teaching is characterized by a focus on practical application and critical thinking, preparing students to tackle real-world challenges with confidence and creativity. Through his research, teaching, and professional engagement, Feng Mai continues to make significant contributions to the field of information management and analytics. His work not only enriches academic discourse but also has a tangible impact on industry practices and organizational strategies.