Additive Manufacturing, Metal Cutting, Machine Learning based Regression, Optimization
jmb@nerist.ac.in
PROFESSIONAL BACKGROUND
From(Date of Joining)
To
Designation
Organisation
Nature of Association
19 Feb, 2025
Till date
Assistant Professor
NERIST
HONORS AND AWARDS
Award
Institute
Year
EDUCATIONAL QUALIFICATION
Degree
Subject
University
Year
B Tech
Mechanical Engineering
Visvesvaraya Technological University, Belgavi
2017
M Tech
Computer Integrated Manufacturing
NERIST
2020
ADMINISTRATIVE BACKGROUND
From
To
Designation
Organisation
MEMBERSHIPS IN PROFESSIONAL BODIES
TEACHING ENGAGEMENTS
Title
Course Code
Module
Semester
M. TECH. THESIS SUPERVISED
Title of Project
Names of Students
PH.DS SUPERVISING
Topic
Scholar Name
Status of PhD
Registration Year
PARTICIPATION IN SHORT TERM COURSES
Course Name
Sponsored By
Date
COURSES OR CONFERENCES ORGANISED
Conference Name
Sponsored By
Date
BOOKS AUTHORED
PUBLICATIONS
Borah, J., & Chandrasekaran, M. (2025). Application of Machine Learning-Based approach to predict and optimize mechanical properties of additively manufactured polyether ether ketone biopolymer using fused deposition modeling. Journal of Materials Engineering and Performance. https://doi.org/10.1007/s11665-024-10629-w
Borah, J., & Chandrasekaran, M. (2024e). Development of ANN model for predicting mechanical properties of 3d printed peek polymer using FDM and optimization of process parameters for better mechanical properties. Physica Scripta. https://doi.org/10.1088/1402-4896/ad7f0f
Borah, J., & Chandrasekaran, M. (2024d). Predictive modeling and optimization of Rockwell hardness of additively manufactured peek using RSM, ANFIS and RNN integrated with PSO. Physica Scripta. https://doi.org/10.1088/1402-4896/ad6514
Borah, J., Chandrasekaran, M. Prediction and optimization of tensile strength of additively manufactured peek biopolymer using machine learning techniques. Multiscale and Multidiscip. Model. Exp. and Des. (2024). https://doi.org/10.1007/s41939-024-00505-4
Borah, J., Chandrasekaran, M., & Selvarajan, L. (2023b). Taguchi-Based Experimental Investigation and Modeling of 3D-Printed PEEK Parts as Biomedical Implants using Fused Deposition Modeling for Improving Mechanical Strength and Surface Quality. Journal of Materials Engineering and Performance. https://doi.org/10.1007/s11665-023-09036-4
Borah, J., Chandrasekaran, M. Evaluation of tensile strength of 3D printed PLA component and Taguchi optimization, in Neuro Quantology, vol. 20, 2022, pp. 1714-1726.
Sarma, D., Borah, J., & Chandrasekaran, M. (2021). Multi optimization of nano fluid based machining of titanium alloy: A green manufacturing approach. Materials Today: Proceedings, 46, 8921–8926. https://doi.org/10.1016/j.matpr.2021.05.362
