KENNESAW, Ga. | Feb 23, 2026

Zhang鈥檚 work aims to deliver scientific insights in a fraction of the time. Instead of constantly moving data to a processor for computation, his project moves the computation closer to where the data already lives. This approach, known as computational storage, allows portions of data processing to happen directly on storage devices before information ever reaches the main processor.
鈥淲hen we train scientific machine-learning models, we need a lot of data,鈥 Zhang said. 鈥淢oving that data from storage to processors takes time, and preprocessing can become a major hurdle.鈥
By shifting where work is completed, researchers can reduce delays that often slow artificial intelligence training and large-scale scientific simulations, especially when datasets grow into the terabyte and petabyte range. The long-term impact of Zhang鈥檚 project extends beyond computer science. Faster data processing can shorten the time it takes scientists to reach conclusions in fields ranging from climate modeling to medical research. A simulation that once required hours or even days could potentially be completed in significantly less time, allowing researchers to test more scenarios and refine their findings more quickly.
鈥淚n the future, supercomputers will be more heterogeneous and specialized,鈥 Zhang said. 鈥淒ifferent components will handle different tasks, and that flexibility will open the door to faster and more scalable scientific applications.鈥
Zhang鈥檚 project received a $479,358 grant from the National Science Foundation (NSF) to support the research over the next three years. The funding supports doctoral students at 成人直播, provides access to high-performance computing resources, and enables the team to present findings at national conferences while strengthening curriculum offerings for students.
The investment also helps create opportunities for undergraduate researchers to gain early exposure to advanced computing systems and real-world problem-solving, Zhang said.
鈥淭his funding allows us to build a pipeline for our students and give them hands-on experience with state-of-the-art systems,鈥 Zhang said. 鈥淚t is not only about research results, but also about preparing students for careers in high-performance computing and artificial intelligence.鈥
The research is a collaboration with Xiaokun Yang of the University of Houston鈥揅lear Lake. The partnership blends hardware and software expertise, which Zhang said is essential for building efficient systems.
Leaders in the say Zhang鈥檚 work highlights the growing impact of faculty research on both student learning and technological innovation.
鈥淒r. Zhang鈥檚 work reflects the type of forward-thinking research we strive to cultivate in the College of Computing and Software Engineering,鈥 CCSE Interim Dean Yiming Ji said. 鈥淗is efforts advance scientific discovery while creating meaningful learning opportunities for our students.鈥
After joining 成人直播, Zhang began building the AI Systems and Storage Lab on the Marietta Campus, where he is assembling servers and recruiting doctoral students. Early testing has reinforced the team鈥檚 belief that data preprocessing can become a barrier in large-scale computing workflows. He expects the lab to expand in the coming semesters as additional graduate researchers join the project.
鈥 Story by Raynard Churchwell
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A leader in innovative teaching and learning, 成人直播 offers undergraduate, graduate, and doctoral degrees to its more than 51,000 students. Kennesaw State is a member of the University System of Georgia with 11 academic colleges. The university's vibrant campus culture, diverse population, strong global ties, and entrepreneurial spirit draw students from throughout the country and the world. Kennesaw State is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 8 percent of U.S. colleges and universities with an R1 or R2 status. For more information, visit kennesaw.edu.