Associate Professor: Joined OP Jindal University, Raigarh (C.G) in September 2021.
Worked as a Postdoctoral Research Fellow at Florida International University, College of Engineering and Computing, FIU, Miami, Florida, USA from December 2018 to September 2021.
Worked as a Postdoctoral Research Fellow at Department of Mechanical Engineering, Colorado School of Mines, Golden Colorado, USA from November 2016 to November 2018.
Worked as a Visiting Researcher, Thermal and Flow Engineering Laboratory, Department of Chemical Engineering, Abo Akademi University, Finland, from May 2013 to July 2013.
Worked as a Graduate Research Assistant (Ph.D. Student), MAIDROC Laboratory, Florida International University, Miami, FL, USA from January 2013 to August 2016.
Worked as an Assistant Professor (Metallurgical Engineering), O P Jindal University (formerly OP Jindal Institute of Technology), Raigarh C.G., India from June 2012 to December 2012.
Worked as a Teaching and Research Assistant, Indian Institute of Technology, Kharagpur, from July 2010 to June 2012.
Worked as a Project Assistant, Applied Chemistry and Corrosion Laboratory, National Metallurgical Laboratory, Jamshedpur, India from October 2009 to July 2010.
Jha, R., and Jha, B.K. (2022). Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes, Taylor and Francis Catalogue # 435633, ISBN: 9780367765279 (hardback), CRC Press USA, Taylor and Francis Group.
Jha, R., Dulikravich, G.S., Colaco, M.J., Fan, M., Schwartz, J. and Koch, C.C. (2017) Magnetic alloys design using multi-objective optimization, In: Advanced Structured Materials series, Vol. 33, eds.: A. Oechsner, L.M. da Silva, H. Altenbac, 261-284, Properties and Characterization of Modern Materials, Springer, Germany.
Mahanta B.K., Jha R., Chakraborti N., (2022), Data-Driven Optimization of Blast Furnace Iron Making Process Using Evolutionary Deep Learning. In: Datta S., Davim J.P. (eds) Machine Learning in Industry. Management and Industrial Engineering. Springer, Cham.
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; https://doi.org/10.3390/coatings11030299.
R. Jha, G. Dulikravich (2021), Discovery of new Ti-based biomaterials aimed at avoiding/minimizing formation of α” and ω-phase using CALPHAD and artificial intelligence, MDPI-Metals, 11(1), 15.
R. Jha, G.S. Dulikravich (2020), Solidification and heat treatment simulation for aluminum alloys with scandium addition through CALPHAD approach, Computational Materials Science, 182, 2020, 109749, https://doi.org/10.1016/j.commatsci.2020.109749.
D. Diercks, A. Singh, R. Jha, A. Stebner, C.V. Ciobanu (2019), A method of nanoscale analysis of the initial stages of crystallization as applied to a FINEMET metallic glass, Materials Characterization, 110026, ISSN 1044-5803, doi: https://doi.org/10.1016/j.matchar.2019.110026.
D. Diercks, R. Jha, A. Stebner, C.V. Ciobanu (2019), In situ Crystallization of Metallic Glass in an Atom Probe Instrument, Microscopy and Microanalysis, 25(S2), 2548-2549. doi:10.1017/S1431927619013473.
R. Jha, G.S. Dulikravich (2019), Self-Organizing Maps to Design High Temperature Ti-Al-Cr-V Alloys for Maximum Thermodynamic Stability, Young’s Modulus and Density, Metals, 9(5), 537.
R. Jha, N. Chakraborti, D. Diercks, A. Stebner, C.V. Ciobanu; (2018), Combined Machine Learning and CALPHAD Approach for Discovering Processing-Structure Relationships in Soft Magnetic Alloys, Computational Materials Science, 150, pp. 202-211.
R. Jha, D. Diercks, A. Stebner, C.V. Ciobanu, N. Chakraborti, (2019), Interfacial Energy of Copper Clusters in Fe-Si-B-Nb-Cu alloys, Scripta Materialia, (2019) 162, pp. 331-334.
R. Jha, G. Dulikravich, N. Chakraborti, M. Fan, J. Schwartz, C. Koch, M.J. Colaco, C. Poloni, I. Egorov (2017) “Self-Organizing Maps for Pattern Recognition in Design of Alloys”, Materials and Manufacturing Processes, Vol. 10, pp. 1067-1074.
M. Fan, Y. Liu, R. Jha, G. S. Dulikravich, J. Schwartz and C. Koch, (2016), “On the Evolution of Cu-Ni-rich Bridges of Alnico Alloys with Tempering”, Journal of Magnetism and Magnetic Materials, 420 (2016), pp. 296-302.
M. Fan, Y. Liu, R. Jha, G. S. Dulikravich, J. Schwartz and C.C. Koch, (2016), On the Formation and Evolution of Cu-Ni-rich Bridges of Alnico Alloys with Thermomagnetic Treatment, IEEE Transactions on Magnetics, August 2016, Vol: 52, No:8, pp. 1-10, DOI: 10.1109/TMAG.2016.2555956.
R. Jha, G. Dulikravich, N. Chakraborti, M. Fan, J. Schwartz, C. Koch, M.J. Colaco, C. Poloni, I. Egorov, (2016), “Algorithms for design optimization of chemistry of hard magnetic alloys using experimental data”, Journal of Alloys and Compounds, October, 2016, vol. 682, pp. 454-467.
C.C. Pacheco, M. Vesenjak, M. Borovinsek, R. Jha, S.R. Reddy, G.S. Dulikravich, H.R.B. Orlande and M.J. Colao, (2016); “Inverse Parameter Identification Using Bayesian Statistics and Response Surfaces”, Technische Mechanik, vol. 36, Issue: 1-2, 2016, pp. 120 – 131.
P. S. Babu, R. Jha, M. Guzman, G. Sundararajan and A. Agarwal, " Indentation Creep Behavior of Cold Sprayed Aluminum Amorphous/Nano-crystalline Coatings", MATERIALS SCIENCE AND ENGINEERING A, Vol. 658, pp. 415-421, March 2016, DOI: 10.1016/j.msea.2016.02.030.
S.R. Reddy, A. Abdoli, G.S. Dulikravich, C.C. Pacheco, G. Vasquez, R. Jha, M.J. Colaco and H.R.B. Orlande, “Multi-Objective Optimization of Micro Pin-Fin Arrays for Cooling of High Heat Flux Electronics With a Hot spot”, Heat Transfer Engineering, 38(14-15), 2017, pp. 1235-1246.
R. Jha, F. Pettersson, G.S. Dulikravich, H. Saxen, and N. Chakraborti, (2015) "Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies", Materials and Manufacturing Processes, April 2015, Vol: 30, Issue: 4, pp. 488-510
R. Jha, P. Sen, N. Chakraborti, "Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach" Steel Research International January 2014, Vol: 85 (2), pp. 219-232.
(Acknowledged) R. Singh et al, "Erosion and Corrosion Behavior of Laser Cladded Stainless Steels with Tungsten Carbide" Journal of Materials Engineering and Performance, (2012) 21: 2274-2282.
K. Nayak and R. Jha, “Optimizing carbon rate and hot metal temperature of an operating blast furnace by means of data driven models”, Jindal Tech, September 2013.
R. Jha, B.K. Jha, Application of Artificial Intelligence in Alloy Design and Processing of Materials: Present Status and Future Trends (under Review).
R. Jha, D. Diercks, A. Stebner, C.V. Ciobanu (2017), Metastable Phase Diagram and Precipitation Kinetics of Magnetic Nanocrystals in FINEMET Alloys, https://arxiv.org/abs/1709.08306. (Under Review)
R. Jha, G.S. Dulikravich, Computational Design of Alloy Chemistry for Optimizing Multiple Macroscopic and Microscopic Properties, POSTER at a workshop in March 2021 organized by US National Science Foundation (NSF) and Japan Science and Technology Agency (JST).
R. Jha, G.S. Dulikravich, Inverse Design of Chemistry of High Temperature Ni-Base Superalloys Using CALPHAD and Machine Learning, 2021 TMS Annual Meeting & Exhibition, Symposium on "Materials for High Temperature Applications: Next Generation Superalloys and Beyond", March 15-17, 2021 (VIRTUAL MEETING).
R. Jha, G.S. Dulikravich, Design of Ti-Al-Cr-V Alloys for Maximum Thermodynamic Stability, 2021 TMS Annual Meeting & Exhibition, Symposium on "AI/Data informatics: Design of Structural Materials", March 15-17, 2021 (VIRTUAL MEETING).
R. Jha, G.S. Dulikravich, Discovery of optimized ω-phase free Ti-based alloys using CALPHAD and artificial intelligence approach, 2021 TMS Annual Meeting & Exhibition, Symposium on"AI/Data informatics: Design of Structural Materials", March 15-17, 2021 (VIRTUAL MEETING).
M. Fan, Y. Liu, R. Jha, G. S. Dulikravich, J. Schwartz and C. Koch, Microscopic Characterization of Cu-Ni-rich Bridges in Alnico Alloys, January 11-15 (2016), San Diego, California, 13th Joint MMM-Intermag Conference, San Diego, California.
R. Jha, G.S. Dulikravich and M.J. Colaco; Design and Optimization of Magnetic Alloys and Nickel-based Superalloys for High Temperature Applications, COBEM2015, December 6-11 (2015), Rio de Janeiro, Brazil.
C.C. Pacheco, M. Vesenjak, M. Borovinsek, R. Jha, S.R. Reddy, G.S. Dulikravich, H.R.B. Orlande and M.J. Colaco; Identication of Material Properties Through a Markov Chain Monte Carlo Technique and a Response Surface Approach, COBEM2015, December 6-11 (2015), Rio de Janeiro, Brazil.
S.R. Reddy, A. Abdoli, G.S. Dulikravich, R. Jha; Conjugate Analysis of Thin Film Heat Spreaders to Reduce Temperature at Hot Spots, ASME 2015 International Mechanical Engineering Congress and Exposition, IMECE15, paper 52804, November 13-19, 2015, Houston, Texas, USA.
R. Jha, G.S. Dulikravich, , M.J. Colao, I.N. Egorov, C. Poloni, N. Chakraborti, M. Fan, J. Schwartz, C. Koch; Multi-Objective Design and Optimization of Hard Magnetic Alloys Free of Rare Earths, MST 2015, October 4-8 (2015), Columbus, OH.
S.R. Reddy, A. Abdoli, G.S. Dulikravich, C.C. Pacheco, G. Vasquez, R. Jha, M.J. Colao and H.R.B. Orlande; Multi-Objective Optimization of Micro-Pin Fin Arrangements for Cooling of High Heat Flux Electronics with a Hot Spot, paper InterPACKICNMM2015-48242, July 6-9 (2015), San Francisco, CA.
R. Jha, G.S. Dulikravich, M.J. Colaco, M. Fan, J. Schwartz, C.C. Koch; Magnetic Alloys Design Using Multi-Objective Optimization, ACE-X2015, June 29th - July 2nd (2015), Munich, Germany.
C.C. Pacheco, M. Vesenjak, M. Borovinsek, R. Jha, S.R. Reddy, G.S. Dulikravich, H.R.B. Orlande and M.J. Colao; Inverse Parameter Identification Using Bayesian Statistics and Response Surfaces, ICMM4, May 27-29 (2015) Berkeley, CA.
R. Jha, G.S. Dulikravich, N. Chakraborti, M. Fan, J. Schwartz, C.C. Koch, M.J. Colaco; Algorithms for Multi-Objective Design Optimization of Hard Magnetic Alloys Using Experimental Data, ICMM4, May 27-29 (2015), Berkeley, CA.
R. Jha, G.S. Dulikravich, M. Fan, J. Schwartz, C. Koch, I.N. Egorov, C. Poloni, "A Combined Computational-Experimental Approach to Design of High-Intensity Permanent Magnetic Alloys", CONEM2014 , August 10-15 (2014), Uberlandia, Brazil.
R. Jha, G.S. Dulikravich, F. Pettersson, H. Saxen, N. Chakraborti, "A Combined Experimental-Computational Approach to Design Optimization of High Temperature Alloys" paper ETS2014-1008, ASME Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries, March 25-27, 2014, Seattle, WA,
R.K. Poddar, R.K. Patel, S. Sharma, P.R. Gavel, R. Jha, Development of Analytical Model and its Graphical User Interface in Order to Improve the Prediction Method of LD Process, Science and Technology of Ironmaking and Steelmaking [STIS-2013], 12/2013, Jamshedpur, India.
R. Jha, P. K. Sen N. Chakraborti, " Comparison of Data Driven and Analytical Blast Furnace Models for Minimizing Input Carbon Rate" Computer Methods in Materials Technology: KomPlasTech 2013, 20th Meeting, 01/2013, Zakopane, Poland.
R. Jha, P. K. Sen N. Chakraborti, " Optimizing CO2 emissions of an operating Blast furnace using Genetic Algorithm and Genetic Programming" International conference on "Energy Eciency in Steel Industry (EESI 2011)", December, 14-16, 2011, R.D.C.I.S., S.A.I.L., Ranchi, Jharkhand, India.
Attended Workshops organized by AIST: Total of 121.5 Professional Development Hours (PDH).
1. "Specialty Alloys and Foundry- A Practical Training Seminar (18.5 PDH)" held from 7-20-2015 to 7-23-2015 at Pittsburgh, Pennsylvania.
2. "The Making, Shaping and Treating of Steel: 101 (15 PDH)" held from 9-15-2015 to 9-17-2015 at Hamilton, Ontario, Canada.
3. "Pipe and Tube A Practical Training Seminar (20 PDH)" held from 9-28-2015 to 10-01-2015 at Independence, Ohio.
4. "Continuous Casting A Practical Training Seminar (17 PDH)" held from 10-12-2015 to 10-15-2015 at Charleston, SC.
5. "Modern Electric Furnace Steelmaking A Practical Training Seminar (24.25 PDH)" held from 02-01-2016 to 02-05-2016 at Jacksonville, FL.
6. "Hot Rolling Fundamentals A Practical Training Seminar (26.75 PDH)" held from 02-21-2016 to 02-25-2016 in Birmingham, AL.
Volunteering at National Metallurgical Laboratory, December 2009: I was member of the Organizing Committee of MFE 2009 (Metallurgy for Engineers). I was working under guidance of Dr. P.N. Choudhury (Chief Scientist, BDM Divn, CSIR-NML, Professor, Engineering Sciences, AcSIR, New Delhi).
INTERNSHIPS
1. June 2008 - July 2008 at Metallurgical and Engineering Consultants (MECON Limited), Ranchi, India. Report title: A study on various steel making processes in practice and pollution in an Integrated steel plant.
2. October 2007-November 2007 at Research and Development Centre for Iron and Steel, Steel Authority of India Limited (RDCIS-SAIL), Ranchi, India. Report title: Study of diagnostic tools under Physical Metallurgy Group and an EPMA study of non-metallic entrapments.
CERTIFICATIONS
1. "Materials Data Sciences and Informatics by Georgia Institute of Technology on Coursera. Certificate earned on December 13, 2016".(https://www.coursera.org/account/accomplishments/certificate/ZYLQQC9YCFRP )
2. PH525.1x: Statistics and R for the Life Sciences: A course of study offered by HarvardX, an online learning initiative of Harvard University through edX, Honor Code Certificate Issued May 26, 2015 (https://verify.edx.org/cert/ff6928ab674d441a89e854555537e3f4 ).
Courses taken on LinkedIN:
1. Learning Bash Scripting (December 2017)
2. Python: Data Analysis (December 2017)
3. Machine Learning in Mathematica (October 2018)
4. Learning vi (June 2019)
5. Building and Deploying Deep Learning Applications with TensorFlow (June 2019)
6. Building Deep Learning Applications with Keras 2.0 (June 2019).
7. Programming for Non-Programmers: Android & Kotlin (November 2020).
8. PyTorch Essential Training: Deep Learning (November 2020).
Editor - MDPI COATINGS: Special Issue on "Characterization of Coating: Experimental and Computational Approach with Emphasis on Artificial Intelligence Approach".
Editor - MDPI ENERGIES: Special Issue on "Energy Balancing/Optimization in General, with Special Emphasis on Crop Production".
Editor - Frontiers in Materials - section Environmental Degradation of Materials. Special issue on High Entropy Functional Materials for Surface Modification and Anticorrosion Applications.
Reviewer - Taylor and Francis: Materials and Manufacturing Processes.
Reviewer - Taylor and Francis: Inverse Problems in Science and Engineering.
Reviewer - Elsevier: Materials & Design.
Reviewer - Elsevier: Journal of Magnetism and Magnetic Materials.
Reviewer - Elsevier: Journal of Alloys and Compounds
Invited to present a lecture at EUROPEAN MATERIALS RESEARCH SOCIETY (EMRS) FALL MEETING 2021 at the symposium titled, ” Modern computational methods and their applications in materials science: Synergy of theory and experiment”, 20th to 23rd September 2021, Warsaw, Poland.
My poster was awarded the “BEST POSTER” at a workshop organized by US National Science Foundation (NSF) and Japan Science and Technology Agency (JST) in March 2021.
Postdoctoral Research Fellowship sponsored by Dean, College of Engineering and Computing, Florida International University, Miami, FL, USA in 2018
Postdoctoral Research Fellowship at Colorado School of Mines, Golden, through National Science Foundation Grant. No. DMREF-1629026 from 2016-2018.
Florida International University, Miami, FL, USA: Dissertation Year Fellowship for 2016.
AFOSR NM, USA: Graduate research assistantship for working at FIU (2013-2015).
Graduate and Professional Student Committee (GPSC), FIU: Travel grant to present paper at Materials Science and Technology (MST 2015), October 8-10, 2015, Columbus, Ohio.
Association for Iron and Steel Technology (AIST): Seven travel grants to attend following specialty meetings.
MHRD, Government of India: Fellowship (TA) for attending IIT Kharagpur during my Master’s (2010-2012).
SRIC IIT Kharagpur: Two travel grants to present papers and attend conferences in 2011.
