Artificial Intelligence-Aided Materials Design (PDF)

Dr. Rajesh Jha is a postdoctoral researcher at the Department of Mechanical and Materials Engineering, Florida International University (FIU). Prior to FIU, he worked as a postdoctoral researcher at the Department of Mechanical Engineering, Colorado School of Mines, Golden, Colorado. He graduated with a PhD in Materials Science and Engineering from Florida International University, Miami, FL, in 2016; Master of Technology in Metallurgical and Materials Engineering from Indian Institute of Technology, Kharagpur, India, in 2012; and BSc in Metallurgical Engineering from BIT, Sindri, Jharkhand, India, in 2009. Dr. Jha has worked as a faculty in Metallurgy at OP Jindal University, India. He has a strong background as an experimentalist and has worked as a Project Assistant at National Metallurgical Laboratory, Jamshedpur, India, working on microscopy, additive manufacturing, coatings, and corrosion. Since 2010, he has been working extensively on Machine Learning (ML)/Artificial Intelligence (AI) algorithms for developing prediction models, along with Evolutionary (EA) or Genetic algorithms (GA) for Multi-objective Optimization. He has applied AI/ML algorithms in the field of materials and alloy design and process metallurgy. He will deliver a lecture on AI/ML-based algorithms application in alloy design at E-MRS Fall 2021. In March 2021, he received the best poster award for his AI/ML-based work at US NSF-JST (Japan) joint workshop on Materials Informatics and Quantum Computing. He has published over 30 publications, including two book chapters, journal articles, and peer-reviewed international conference proceedings. He has developed a software for simulating nanoindentation through ML and is currently working on patenting his software and is in direct communication with a company interested in licensing it. He has served as an editor and on the reviewer board of academic journals and has reviewed articles for 16 international journals on multi-disciplinary