Shruti Vyas is an assistant professor in the Department of Materials Science and Engineering at UCF, where she also holds a secondary joint appointment in the Department of Computer Science and is an affiliated faculty member of the UCF Institute of Artificial Intelligence (IAI). Her research lies at the intersection of artificial intelligence, materials science, chemistry, and computer vision, with a focus on developing trustworthy machine learning and multimodal AI methods to accelerate scientific discovery and engineering applications.

Vyas received her Ph.D. in Chemical and Biomolecular Engineering from the National University of Singapore in 2016 and her B.Tech. in Chemical Engineering from the Indian Institute of Technology (BHU), Varanasi, in 2009. Prior to pursuing graduate studies, she spent three years at Engineers India Limited, where she worked on process design and engineering projects for the oil and gas industry. She subsequently completed her postdoctoral training at the University of Central Florida (2018–2022), conducting research in computer vision and deep learning with an emphasis on robust visual representation learning.

Her current research integrates machine learning with experimental science to address challenges in materials discovery, molecular property prediction, sustainable manufacturing, renewable energy, and industrial safety. By combining advances in foundation models, multimodal learning, and data-driven scientific modeling with laboratory experimentation, her long-term goal is to develop AI systems that enable autonomous scientific discovery and accelerate the translation of research into real-world engineering solutions.