معرفی
Dr. Surya Kalidindi is a Regents' Professor at the School of Computational Science and Engineering, Georgia Institute of Technology, with a joint appointment in the George W. Woodruff School of Mechanical Engineering. His research focuses on designing material microstructures for optimal performance through multi-scale modeling, machine learning, and high-throughput experimentation. Key projects include microstructure-property linkages, materials informatics, and additive manufacturing optimization.
His work integrates computational mechanics, crystal plasticity, and data analytics to address challenges in heterogeneous materials. Notable contributions include developing AI-driven methods for microstructure generation, Bayesian optimization frameworks, and advanced indentation techniques for material characterization.
Dr. Kalidindi leads initiatives in materials graph ontology, digital twins, and virtual materials design. His research has been applied to aerospace alloys, biomaterials, and energy materials, emphasizing data-driven approaches to accelerate materials innovation.
He maintains an active lab group (MINED Super Group) and collaborates extensively on federal grants related to materials discovery and manufacturing. His work bridges theory, computation, and experimentation to achieve predictive materials modeling and industrial applications.
