

Akash Deep
Dr. Akash Deep has led transformative projects in the field of Industrial Engineering, focusing on the integration of advanced data analytics and stochastic modeling to enhance system reliability and real-time monitoring. As an Assistant Professor in the Industrial Engineering and Management program at Oklahoma State University, he is dedicated to advancing the understanding and application of these critical areas. Dr. Deep earned his Ph.D. in Industrial Engineering from the University of Wisconsin-Madison in 2022, where his research significantly contributed to the development of innovative reliability modeling techniques. Prior to his doctoral studies, he completed an M.S. in Statistics from the same institution in 2020, equipping him with a robust analytical foundation that underpins his research endeavors. His academic journey began at the Indian Institute of Technology Roorkee, where he obtained a B.Tech in Production & Industrial Engineering in 2017. This early exposure to engineering principles laid the groundwork for his subsequent research pursuits and professional achievements. At Oklahoma State University, Dr. Deep is actively involved in mentoring students and collaborating with industry partners to address complex engineering challenges. His work is characterized by a commitment to bridging theoretical insights with practical applications, ensuring that his research has a tangible impact on industry practices. Dr. Deep's contributions to the field have been recognized through various publications in leading journals and conferences. His expertise in reliability modeling and real-time monitoring continues to drive innovation, making significant strides in the optimization of industrial systems. In addition to his research and teaching responsibilities, Dr. Deep is passionate about fostering interdisciplinary collaborations that leverage the power of data analytics to solve pressing engineering problems. His vision is to create resilient and efficient systems that can adapt to the dynamic demands of modern industries.
Research Interests
Publications
, e677-e683, 2018-07-01
, 529-541, 2023-11-17
, e358-e366, 2024-06-07
, 100-104, 2022-06-01