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​In January 2023, SUNY Chancellor John B. King Jr. announced a $12 million allocation to Stony Brook University (SBU) to support the hiring of approximately 50 new research faculty members. This initiative is part of New York State's $53 million annual investment in higher education, aimed at enhancing research capabilities and student opportunities. The new hires will focus on areas such as quantum information sciences, artificial intelligence, energy and climate science, and cancer studies, among others. The expansion of faculty is expected to bolster SBU's research output, increase faculty diversity, and address instructional needs, aligning with the university's goal of becoming one of the top 25 ranked public research institutions nationally

​Governor Kathy Hochul has proposed significant investments to enhance Stony Brook University's (SBU) research capabilities. In her State of the State address, she recommended allocating $200 million in capital funding to develop new and renovated research facilities at SBU and the University at Buffalo. Additionally, the proposal includes matching up to $500 million in state funds to support endowments at SBU and three other university centers. These initiatives aim to advance research infrastructure and foster innovation within the State University of New York (SUNY) system.

​Nandita Kumari, a former graduate student at Stony Brook University, utilized machine learning to analyze lunar composition, aiming to identify resources like water and minerals for NASA's Artemis missions. Her research focused on quantifying rock compositions on the Moon, enhancing resource identification for future lunar exploration. Kumari's work contributes to sustainable space exploration by reducing reliance on Earth-supplied materials. She has since advanced her studies as a postdoctoral associate with the LunaSCOPE project at Brown University

​Dr. Jie Wei, a computer science professor at The City College of New York (CCNY), is leading a U.S. Air Force-funded project aimed at enhancing situational assessment and awareness (SAAW) through artificial intelligence and machine learning. The three-year, $299,000 grant supports the development of an efficient, robust, and explainable AI/ML system utilizing multi-modal sensing and deep learning techniques. Collaborating with Dr. Haibin Ling of SUNY Stony Brook, the project focuses on improving data and computing efficiency, ensuring robustness against noisy data and adversarial attacks, and providing transparent, interpretable, and certifiable decision-making processes. This initiative is critical for military operations, humanitarian assistance, and disaster response applications.