Designation: Research Scholar
Degree: Ph. D.
Fellowship: Institute Fellowship
Enrollment No.: 2020MMP003,
Date: 03 Nov 2020
Registration No.: 2021MMPR003,
Date: 22 Nov 2021
Supervisor: Manojit GhoshCo-Supervisor: Amitava Basu MallickAcademic Qualification
Ph.D.
in Metallurgy and Materials Engineering || IIEST Shibpur || Thesis Submitted: 05.12.2025
M.Tech
in Materials Engineering || IIEST Shibpur || 07/2020
B.Tech
in Mechanical Engineering || WBUT || 07/2017
Topic: Development of high entropy alloy and oxide systems for thermal barrier coatings
• Thermal Barrier Coating
• High-Entropy Alloy/Oxides
• Machine Learning
• Ni-based Superalloys
• Aeroengine Materials
• Advanced Engineering Materials
• Machine Learning (Python)
• Material Characterization (SEM, EDS, XRD, TEM, DSC/TGA, Mechanical, Electrochemical, and Thermal)
• NDT Level II (VT, UT, RT, DPT)
• Advanced Surface Protection and Coatings
Phase Prediction in High Entropy Alloys by Various Machine Learning Modules Using Thermodynamic and Confgurational Parameters
A voting-based ensemble classifier to predict phases and crystal structures of high entropy alloys through thermodynamic, electronic, and configurational parameters
A review on high entropy alloys as metallic biomaterials: fabrication, properties, applications, challenges, and future prospects
Improved machine learning framework for prediction of phases and crystal structures of high entropy alloys
Developing new high-entropy alloys with enhanced hardness using a hybrid machine learning approach: integrating interpretability and NSGA-II optimization
Influence of Alloying Elements and Annealing Temperature on Lankford Constant of High Strength Dual Phase Steels Using Supervised Regression Models
Utilizing Machine Learning Algorithms to Predict Accuracy of the Index of Relative Tectonic Activity (IRTA), Dhansiri (North) River Basin in India and Bhutan
