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Contact Info
| GSAS Advisor | |
| Professor | |
| Materials Science and Engineering | |
| Iowa State University | |
| USA | |
| mse.iastate.edu/who-we-are/people/faculty/krishna-rajan.html | |
| Professor, Stanley Chair in Interdisciplinary Engineering, Director of the Institute for Combinatorial Discovery, Iowa State University. Director, International Materials Institute (IMI). | |
Research
| Statistical Learning: Exploring the efficacy and computational strategies of statistical learning methods for a variety of materials science platforms. Materials Modeling: Establishing informatics as a "third leg" to be integrated into experimental and computational materials sciences for multi-scale materials design and discovery. Atom Probe Tomography: Advancing quantitative interpretation of atom probe tomography and development of in-situ experimentation. Nano-informatics: Applying informatics for the advancement of nanoscience including the analysis of nanoscale phenomena and the rational design of nanomaterials. Combinatorial Experimentation: integrating informatics methods into combinatorial and high throughput screening methods to ensure knowledge discovery and not just data discovery |
Biography
Professor Krishna Rajan is the Director of the Institute for Combinatorial Discovery at Iowa State University. He is holds appointments in the Department of Materials Science & Engineering and the Bioinformatics and Computational Biology Program. He received his BASc in Metallurgy and Materials Science from the University of Toronto and the ScD in Materials Science with a minor in Science & Technology policy from the Massachusetts Institute of Technology in 1978. He was a postdoctoral fellow at MIT and Cambridge University and then joined the National Research Council of Canada as a research staff scientist in the 1980s; after which he joined the faculty at Rensselaer Polytechnic Institute before coming to Iowa State University in 2005. Dr. Rajan is recognized as one of the world`s leading authorities on the development and use of informatics, statistical learning and combinatorial discovery methods for the development, design and characterization of materials. A major focus of his research is the application of informatics in advancing quantitative methods for high-resolution electron and atom-probe microscopy and the nanostructural characterization of materials. Professor Rajan`s research extends into coupling new developments in computer and mathematical sciences into combinatorial materials science and informatics. His work in applying statistical learning and data mining to materials science was recognized by his appointment to the Stanley Chair of Interdisciplinary Engineering at Iowa State University. He has established the first academic program in materials informatics and combinatorial materials science in the United States as director of the NSF sponsored International Materials Institute: Combinatorial Sciences and Materials Informatics Collaboratory. |