Alfred University students enrolled in a class on battery machine learning participated in a poster session Thursday, April 17, as part of the university’s AI Week activities centered around artificial intelligence.
Eleven students—four undergraduates majoring in electrical engineering, two each in computer science, mechanical engineering, and ceramic engineering/materials science; and one PhD student in ceramic engineering—are enrolled in the class, which is supported by funding from a National Science Foundation (NSF) grant secured by Kun Wang, assistant professor of materials science and engineering in Alfred University’s Inamori School of Engineering.
The class has been offered throughout the second half of the spring 2025 semester. Wang, along with Xingwu Wang, professor of electrical engineering, and Scott Misture ’90, ’94 PhD, Inamori professor of materials science and engineering, serve as instructors for the class. Andy Eklund, professor of chemistry and Dan Lu, associate professor of renewable energy engineering, gave lectures as part of the class.
Kung Wang is principal investigator for the NSF grant, which supports a training program focused on battery degradation and useful life prediction. The program will help prepare engineering students with skills and knowledge needed to succeed in the battery and energy storage job market. Xingwu Wang, Misture, and Gabrielle Gaustad ’04, dean of the Inamori School of Engineering, are co-investigators.
For Thursday’s poster session, groups of students created posters focused on one of the following themes: battery machine learning, graphic processing unit (GPU), the electrochemistry of the lithium-ion battery, and individual machine learning tools.
Alfred University alumnus Matthew Versaggi ’87, who serves as a White House Presidential Innovation Fellow in artificial intelligence, was on hand for the poster session. Versaggi, who has been working in the AI space for more than three decades, gave an engineering seminar on AI earlier in the day.