Dr. Tanju Karanfil (Environmental Engineering) and Dr. Kapil Chalil Madathil (Industrial Engineering) received an NSF grant to support water treatment operations. Empirical studies will determine the efficacy of mixed reality technology to support the training needs of water treatment technicians.
Recently, as many as 6 IE faculty were either principal investigators (PIs) or co-PIs on several seed grants awarded for the 2022-2023 cycle through Clemson University’s partnership with Prisma Health.
Karen Lindenmeyer passed away in early February. Karen Lindenmeyer, who was an IE faculty member for years, will have an endowment in her honor that provides funding for the Lindenmeyer Leadership and Public Service Award.
2023 USNWR graduate program rankings place Clemson IE at 24 (overall rank) and 18 (public rank). This is a move […]
Michael McDonald has taken an interesting career path since his undergraduate days in the Clemson IE program. He cites the […]
Martha Sabogal is an Industrial Engineering Ph.D. student working under the direction of Emily Tucker. She is applying stochastic optimization […]
Eliza Macaulay, a junior in the Industrial Engineering department at Clemson University, placed first in the Institute of Industrial and […]
The Department of Industrial Engineering invites applications for multiple tenure-track faculty positions at the rank of Assistant or Associate […]
During the annual holiday lunch and awards ceremony at the Madren Center, Dean Anand Gramopadhye recognized outstanding employees who contribute to the success of the college. Industrial Engineering's Graduate Student Services Coordinator, Mrs. Monique Everroad, was honored with a Dean's Exceptional Staff Award for her outstanding performance, achievements, and accomplishments.
Katie Jurewicz began her journey as a Clemson Industrial Engineering (IE) student in 2011. She graduated with a BS in 2015 and then stayed to get an MS. This May, Katie is expected to graduate with her Ph.D. in Industrial Engineering with the dissertation: “Using a Bayesian Framework to Develop 3D Gestural Input Systems Based on Context, Expertise, and Exposure.”