NIT Warangal

Information

Room No: 207 +91-870-2462505 shanker@nitw.ac.in Bio Sketch

Key Notes

Journal(s): 10
Conference(s): 2
Event(s) Organized: FDP - 1

12

PUBLICATIONS

1

PROJECT

Research Areas

AI-Guided Design of Refractory High-Entropy Alloys (Highest

Thermodynamic Modelling of High Entropy Alloys

Uses of Metallurgical Wastes (Spent Pot Lining) in Industry

EDUCATION QUALIFICATION

Degree	Institute	Year
Doctor of Philosophy	Indian Institute of Technology Banaras Hindu University, Varanasi	2024
Master of Technology	Indian Institute of Technology Kharagpur	2017
Bachelor of Technology	National Institute of Technology Durgapur	2009

COURSES HANDLED

Course	L-T-P	Credit	Degree Level
Materials Engineering(MM1261)	3-0-0	3	UG
Smart Materials(MM36019)	3-0-0	3	PG
Industrial Heat Treatment and Phase Transformations(MM30002)	3-0-0	3	PG
Aerospace Materials(MM16042)	3-0-0	3	UG, PG
Special Steels(MM5163)	3-0-0	3	UG, PG
Design Considerations in Materials and Process Selection(ME60002)	3-0-0	3	PG

RESEARCH IDs

PUBLICATIONS

Journal(s)

Mechanistic and data-driven interpretation of Vickers microhardness in refractory high-entropy alloys, By Shanker Kumar, Vikas Jindal , Elsevier, Intermetallics, vol.194, pp.109301, 2026

Integrated CALPHAD–Machine Learning–Experimental Framework for Thermodynamic Design of Lead-Free Bi–In–Sn Solder Alloys, By Shanker Kumar Mukesh Raushan Kumar, Springer Nature Link, Journal of Electronic Materials, vol.55, pp.6382–6399, 2026

A hybrid cluster-expansion–informed machine learning framework for predicting enthalpy of mixing in BCC refractory binary alloys, By Shanker Kumar Vikas Jindal, IOP Publishing (Institute of Physics Publishing), Modelling and Simulation in Materials Science and Engineering, vol.34, pp.045005, 2026

Integrating Machine Learning and DFT for Hardness Prediction in High-Entropy Alloys, By Shanker Kumar, Vikas Jindal, Springer US, MRS communication, vol.15, pp.566–575, 2025

A predictive and experimental investigation of martensite-free GTAW weld of AISI 441 ferritic stainless steel, By Ankit Agarwal and AwaniKumar P. Patil and Mohan Pathak, Shanker Kumar and Tilak Bhattacharjee, Taylor & Francis, Welding International, vol., pp.1--12, 2025

Influence of micro-segregation on the microstructure, and microhardness of MoNbTaxTi(1-x)W refractory high entropy alloys: Experimental and DFT approach, By S Kumar, A Linda, Y Shadangi, V Jindal, Elesiver, Intermetallics, vol.164, pp.108080, 2024

A Neural Network Driven Approach for Characterizing the Interplay Between Short Range Ordering and Enthalpy of Mixing of Binary Subsystems in the NbTiVZr High Entropy Alloy, By Shanker Kumar, Abhishek Kumar Thakur, Vikas Jindal & Krishna Muralidharan, Springer US, Journal of Phase Equilibria and Diffusion, vol.44, pp.520-538, 2023

Modeling Short-Range Ordering in Binary BCC Ti-X (X = Nb, V, Zr) Alloys using CE-CVM, By Shanker Kumar, Vikas Jindal, Springer US, Journal of Phase Equilibria and Diffusion, vol.43, pp.511-526, 2022

First-principles calculations and thermodynamic assessment of the Nb–V system using CE-CVM., By Shanker Kumar, Vikas Jindal, Pergamon, Calphad, vol.78, pp.102439, 2022

Thermodynamic Re-assessment of the Nb-Zr System Using the CE–CVM Model for Solid Solution Phases, By Shanker Kumar Vikas Jindal, Springer US, Journal of Phase Equilibria and Diffusion, vol.43, pp.277-286, 2022

Conference(s)

A Hybrid Cluster-Expansion–Informed Machine Learning Framework for Predicting Enthalpy of Mixing in BCC Refractory Binary Alloys By Shanker Kumar, Vikas Jindal, International Conference on Recent Advances in Multifunctional Materials and Devices, 2026

Study of Indentation Size Effect in Refractory High Entropy Alloys: An Experimental, Empirical and Machine Learning Approach By Shanker Kumar Vikas Jindal, NMD ATM, 2025

PROJECT / CONSULTANCY

Integration of AI/ML and DFT-Based Computational Methodologies into Process Technologies for the Design and Optimization of Lightweight Alloys (e.g., 6XXX Series Aluminium Alloys) in Advanced Materials Engineering

Role: Principal Investigator
Type: Research
Sponsor: National Institute of Technology, Warangal
Project Cost (INR): 500000
Date of Commencement: 31-12-2025
Duration: 13 Months
Status: Ongoing

RESEARCH FELLOWS / PhD STUDENTS

CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME / GIAN

Emerging Trends in Machine Learning and Advanced Functional Materials

06-Jul-2026 → 10-Jul-2026

Event Type: Faculty Development Programme
Role: Coordinator
Funding Agency: Self‑sponsored

ADDITIONAL RESPONSIBILITIES

Last updated on July 4, 2026

Prof. Shanker Kumar

Assistant Professor Gr-II

Department of Metallurgical and Materials Engineering

Information

Key Notes

12

1

Research Areas