By Kelsey Kendall

As 麻豆国产AV approaches its centennial anniversary in 2030, the institution will build its reputation as a national leader in key research areas by recruiting and hiring 25 faculty members with expertise in artificial intelligence.

鈥溌槎构鶤V continues to make great strides in research as an R1 institution,鈥 said Brian Payne, interim provost and executive vice president for academic affairs. 鈥淏y intentionally and strategically hiring faculty with AI expertise, we will see the University鈥檚 growth as a national leader in the field.鈥

These individuals will be tenured or on the tenure track in any department on campus. They will be hired in clusters to align with current institutional strengths in the following areas: Accelerator Science, Engineering, and Machine Learning; AI-Infused Connected/Autonomous Systems for Medicine and Health; Data Driven Artificial Intelligence in Special Education; Medical Modeling Simulation: Precision Medicine and Patient Safety; Shipbuilding and Ship Repair: On-Demand Manufacturing, Supply Chain/Manufacturing 4.0 and Shipyard Digitization Team; and Trustworthy Artificial Intelligence.

The individuals could be in any department on campus. The following programs will be the main emphasis: computer science, computer engineering, criminal justice, cybersecurity, data science, engineering, engineering technology, library and information studies, philosophy, physics, special education, and supply chain, logistics and maritime operations.

鈥淭his initiative will expand 麻豆国产AV鈥檚 research footprint nationally and internationally,鈥 said Kenneth Fridley, vice president for research and economic development. 鈥淥ur institution is contributing to the broader understanding of AI, its application and development. We are eager to see how these faculty members will encourage innovation and exploration of the growing AI field.鈥

This is the first stage of the Centennial Cluster Initiative, which aligns with the University鈥檚 strategic plan, 鈥Forward-Focused: Where Innovation Meets Possibilities,鈥 to increase the number of talented and diverse research leaders. These faculty members will support the expansion of transdisciplinary research efforts.