Rajesh Jha Avatar

Rajesh Jha

Postdoctoral Researcher

Department of Mechanical and Materials Engineering, FIU, Miami, FL, USA


Postdoctoral Research Fellow  
Florida International University, Miami, FL, June 2019 to Present, Miami, Florida United States
College of Engineering and Computing, FIU, Miami, FL-33174 Advisor: Professor Arvind Agarwal • Developed software for simulating nanoindentation through machine learning. Currently working on patenting this software and also in direct communication with a company interested in it. • Published one article on this topic: R. Jha, A. Agarwal (2021), Software (GUI/APP) for Developing AI-Based Models Capable of Predicting Load-Displacement Curve and AFM Image during Nanoindentation, MDPI-Coatings, 11(3), 299. Since December 2019, I am in India. I am affiliated with FIU as a Postdoctoral Researcher (Courtesy Employee). I am editing 2 special issues for MDPI Coatings and Energies. Advisor: Professor George S. Dulikravich • Published 2 journal articles in Computational Materials Science and MDPI Metals. • 3 conference presentations (TMS 2021 Virtual). • One poster presentation at a workshop organized by US National Science Foundation (NSF) and Japan Science and Technology Agency (JST) in March 2021. • I will deliver a lecture at European Materials Research Society (EMRS) Fall 2021.

Postdoctoral Research Fellow  
Florida International University - MAIDROC Laboratory, December 2018 to May 2019, Miami, Florida United States
Position sponsored by Dean, College of Engineering and Computing, FIU, Miami, FL-33174 Advisor: Professor George S. Dulikravich I performed advanced research on computational design of arbitrary alloys. I specifically work on creating a closed-loop suite of computational algorithms capable of optimizing chemical compositions and a posteriori thermal treatment protocols for various types of metallic alloys focusing on the minimization of the need for expensive and time-consuming experimentation. I worked on following topics: • Titanium alloys for high temperature applications: I have published one article on Titanium based alloys focused on optimizing Young’s modulus and Density of Ti-Al-Cr-V system. • Aluminum alloys: I worked on Aluminum based alloy with Scandium addition focused on improving corrosion resistance of these alloys using combined CALPHAD and Deep learning (Tensorflow and Keras framework). I have published an article in “Computational Materials Science “ journal and submitted another article on this topic. • Titanium alloys for biomedical applications: I have submitted one article on this topic. • Based on these works I submitted my works at TMS 2021. Two (2) of my work has been accepted for oral presentation, while another one has been accepted for poster presentation. • Actively participated in preparing proposals for funding.

Postdoctoral Research Fellow  
Department of Mechanical Engineering, Colorado School of Mines, Golden Colorado, November 2016 to November 2018, Golden, Colorado United States
Advisors: Professor Cristian V. Ciobanu and Professor Aaron Stebner. Project (Sponsored by NSF DMREF-1629026): Accelerated Soft Magnetic Alloy Design and Synthesis Guided by Theory and Simulations. Progress: The goal is to discover new soft magnetic alloys and improve upon multiple properties of existing soft magnets and come up with a new composition of FINEMET (soft magnet) with novel processing parameters. I have published FOUR (4) journal article in Computational Materials Science. These 4 papers are based on Atom Probe Tomography, CALPHAD and Machine Learning approach to discover composition-structure relationships to determine optimal heat treatment parameters for achieving optimum magnetic properties in soft magnetic FINEMET alloys. Currently, I am working on my 5th paper focused on discovering new class of soft magnets through machine learning and CALPHAD approach.

Visiting Researcher  
Abo Akademi University, May 2013 to July 2013, Abo Finland
Thermal and Flow Engineering Laboratory, Department of Chemical Engineering, Abo Akademi University, Biskopsgatan 8, FI-20500 Abo, Finland Advisors: Professor Henrik Saxen and Professor Frank Pettersson • Introduced novel approach to design Nickel-based superalloy using data-driven modeling followed by phase stability analysis of optimized alloys. • Demonstrated the scope of improvement of targeted properties: Stress to rupture and time to rupture. • Optimized composition of alloys for improved properties. • Contributed 1 journal article and 2 referred conference proceeding.

Graduate Research Assistant  
Florida International University, January 2013 to November 2016, Miami, Florida United States
Multidisciplinary Analysis, Inverse Design, Robust Optimization and Control (MAIDROC) Laboratory, Room EC 2960, Florida International University, 10555 West Flagler Street, Miami, FL 33174 Advisor: Professor George S. Dulikravich • Introduced a novel approach to design alloys by utilizing limited information from literature by using several concepts of artificial intelligence and brought this work within the framework of multi-million-dollar Materials Genome Initiative. • Improved several properties of alloys by designing new compositions for the same heat treatment. • Saved significant amount of time required in development to deployment of magnetic alloys. • Contributed on multi-disciplinary research topics, which resulted in several refereed and peer reviewed publications. • Guided students throughout my stay and helped them in using of several optimization software. • I maintain the website of MAIDROC laboratory.

Assistant Professor (Metallurgical Engineering)  
O P Jindal University, India, June 2012 to December 2012, Raigarh India
, O P Jindal University (formerly OP Jindal Institute of Technology), Raigarh C.G., India • Taught undergraduate courses: Extractive Metallurgy, Iron and Steel Making. • Appointed to set question papers by Chhatisgarh Swami Vivekananda Technical University (CSVTU), Bhilai, India. • Worked on a collaborative research group with Mr. K. Nayak (Manager, Jindal Steel and Power Limited, Raigarh). This work appeared in annual magazine, Jindal Tech 2013. • Guided several undergraduate students in senior design projects. This work was presented at: ◦ COMPOSITE 2013: It is a student’s meeting organized by the Department of Metallurgical and Materials Engineering, IIT Kharagpur, India. My students were positioned 3rd in Process Modelling Section. ◦ International Conference on Science and Technology of Ironmaking and Steelmaking (STIS 2013) held at CSIR-National Metallurgical Laboratory, Jamshedpur, India.

Research Assistant at STC  
Indian Institute of Technology, Kharagpur, May 2012 to June 2012
Working on project af Ministry of Steel, India, at Steel Technology Center at Indian Institute of Technology, Kharagpur

Project Assistant  
National Metallurgical Laboratory, October 2009 to July 2010, Jamshedpur India
Applied Chemistry and Corrosion Laboratory, National Metallurgical Laboratory, Jamshedpur, India NML Jamshedpur is an Indian research center that functions under the aegis of Council of Scientific and Industrial Research. Advisor: Dr. Raghuvir Singh (Scientist E2) • Worked on Corrosion (Low temperature sensitization) of austenitic stainless steel. • Designed and optimized protocols for Laser processing of materials (Cladding, welding, heat treatment). • Hands on experience with several tools used for materials characterization. Worked on the following projects: 1. SSP 0524 - Low temperature sensitization in Austenitic stainless steel"- This project was funded by the Bhabha Atomic Research Center (BARC) Mumbai. Here, we studied various aspects that influence sensitization in austenitic stainless steel at low temperatures (300-400 C). I did the following tests: ASTM 262 (A to F), Dual loop electrochemical potentiokinetic reactivation (DL-EPR) test, Solution annealing, Heat treatment, Hardness measurement, Microstructure analysis and Degree of Sensitization (DOS) measurement. For the DL - EPR test, I used potentiostat made by Gamry Instruments. I also did creep and stress rupture tests. 2. SIP 0025 - Additive manufacturing: I worked on laser surface treatment (Cladding, Welding and Surface hardening) using diode laser (Model: ROFIN SINAR DL028Q). It was used for improving surface properties of steel by laser scan and fast quenching as well as by cladding with various metallic powders (Tungsten Carbide, Stellite)). This work resulted in one journal paper. I have been acknowledged for my effort in this paper. Volunteering at National Metallurgical Laboratory, December 2009 Organizing Committee of MFE 2009 (Metallurgy for Engineers) Advisor: Dr. P.N. Choudhury (Chief Scientist, BDM Divn, CSIR-NML, Professor, Engineering Sciences, AcSIR, New Delhi). • Involved in preparation of course material and organization of the event. • This purpose of this meeting was to train professionals (non-metallurgists) with basic of metallurgical engineering.


Florida International University  
Doctor of Philosophy, Department of Mechanical and Materials Engineering, Jan, 2013 to Aug, 2016
Ph.D. in Material Science and Engineering, Florida International University, Miami, FL, USA GPA: 3.80/4.00. Dissertation title: "Combined Computational-Experimental Design of High Temperature, High Intensity Permanent Magnetic Alloys With Minimal Addition of Rare Earth Elements" Thesis advisor: Professor George S. Dulikravich Funding agency: U.S. Air Force Office of Scientific Research (AFOSR), NM Courses: Nanomechanics and Nanotribology, Analytical Techniques of Materials Science, Genetic and Evolutionary Algorithms in Engineering Science, Thermodynamics and Kinetics of Materials, Advanced Materials Thermodynamics, Principles of Composite Materials, Finite Element Analysis in Mechanical Engineering, Physical Properties of Materials, Advanced Physical & Mechanical Metallurgy, Pattern Recognition, Nonlinear Finite Element Analysis

Abo Akademi University  
Visiting Researcher, Design and Optimization, Jan, 2013 to Jan, 2013
Visiting Researcher at Abo Akademi University Design and optimization of Ni-based Super Alloy Composition

Indian Institute of Technology, Kharagpur  
Master Of Science, Metallurgical and Materials Engineering, Jul, 2010 to Jun, 2012
M.Tech. in Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, India GPA: 8.96/10.00. Thesis title "Optimizing CO2 Emissions of an Operating Blast Furnace Using Genetic Algorithms and Genetic Programming" Thesis advisor: Professor Nirupam Chakraborti and Professor Prodip Kumar Sen Funding agency: Ministry of Steel, India. Courses: Thermodynamics of Engineering Materials, Programming and Numerical Methods in Materials Engineering, Solidification Processing, Surface Modification and Coating Technology, Diffraction Techniques in Materials Engineering, Metallurgical Kinetics, Principles and Techniques of Materials Characterization, Phase Transformation and Phase Equilibria, Advances Iron and Steel Technology, Advanced Electron Microscopy and Analysis, Computer Programming Lab, X-Ray and Electron Metallography Lab, Fracture Mechanics and Analysis of Engineering Materials Lab.

Bachelor of Engineering, Metallurgical Engineering, Aug, 2005 to Jul, 2009
B.Sc. (Engg.) in Metallurgical Engineering, Bihar Institute of Technology, Sindri, Dhanbad, India, First Class with Distinction; Internship in Federal Government Research Lab, India.


Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates     
Published by (Steel Research International)
Authors: Rajesh Jha, Prodip kumar Sen, Nirupam Chakraborti.  Published February 04, 2014

Novel nature inspired strategies are used to construct models of Productivity, CO2 emission, and Si content of an operational Blast furnace and the optimum tradeoffs between the level of CO2 emission and productivity at different Si levels are computed and analyzed in detail. Also, comparisons are made with the results of a thermodynamic model and those from some commercial software.

Comparison of data driven and analytical blast furnace models for minimizing input carbon rate     
Published by (http://www.komplastech.agh.edu.pl/2013/, Conference proceeding)
Authors: Rajesh Jha, Nirupam Chakraborti, Prodip kumar Sen.  Published January 14, 2013

Comparison of data driven and analytical blast furnace models for minimizing input carbon rate of an operating Blast Furnace Note: By mistake, my name was entered as Rajesh Kumar Jha, and it was abbreviated as K.J. Rajesh in the paper

Optimizing CO2 emission of an operating blast furnace using genetic algorithms and genetic programmi     
Published by (http://eesi.in/about/prog.htm)
Authors: Rajesh Jha.  Published December 14, 2011

Optimizing CO2 emission of an operating blast furnace using genetic algorithms and genetic programming