Hu selected for 2024 IISE Fellow Award
Monday, March 25, 2024
Media Contact: Desa James | Communications Coordinator | 405-744-2669 | desa.james@okstate.edu
Dr. Guiping Hu, professor and head of industrial engineering and management at Oklahoma State University, has been selected for the 2024 Institute of Industrial and Systems Engineers Fellow Award.
Recognized worldwide as the foremost professional association dedicated to advancing industrial engineering, IISE maintains its pioneering role in nurturing excellence and advancement in the discipline.
The prestigious IISE Fellow Award is limited to no more than 20 senior members per year. It highlights the remarkable achievements in one’s professional career and contributions to the field of industrial and systems engineering.
Hu has been a member of IISE since 2006, when she was in her doctoral study at the University of Pittsburgh.
“Getting nominated and selected as an IISE Fellow means tremendously to me personally and professionally," Hu said. “Being a first-generation generation, minority college graduate, I hope this achievement can provide inspiration for future leaders in the field.”
Hu’s path to leadership in industrial engineering was carved by her love of people and the interdisciplinary research and education initiatives centered around people.
“The field of industrial engineering is often called ‘people engineering’ since we use engineering tools and principles to address people related problems,” Hu said. “The discipline of industrial engineering is extremely diverse which allows me to use the modeling tool and method to address various research challenges.”
Hu’s research focuses on operations research and data analytics with applications in supply chain design, manufacturing production, renewable energy systems and sustainable agriculture.
“I love working in trans- and inter-disciplinary research and educational projects,” Hu said. “I would say my collaborators empower me to become the leader industrial engineering I am today.”
Hu has worked with researchers and educators in various fields, such as medical doctors, engineers and plant scientists. Her accomplishments include designing dashboard decision support tools to improve the production efficiency of the manufacturing shop floor, machine learning models to understand how humans age, and genetic improvement models to improve crop and animal breeding.
Family and friends have been vital to Hu as she states they have provided unconditional support throughout her personal and professional life.
“I would also like to attribute this award to my mentors along this career journey,” Hu said. “They make this journey much more enjoyable and meaningful.”