Dr. Rubeena Khaliq
Assistant Professor, Mathematics
Verified by IMPARC
Dr. Rakesh Kumar
Independent Researcher, Mechanical Engineering · Independent · Jodhpur
IMPARC ID IMP-MM-ENGG-RJ-IN-2026-2580
Member since 2026
Expertise
- Bayesian Statistics
- Biomaterials
- Carbon Materials
- Composite Materials
- Dental Materials
- Electronic, Optical & Magnetic Materials
- Nanotechnology & Nanomaterials
- Powders & Bulk Materials
- Refractory Materials
- Stochastic Processes
- Wireless Sensor Networks
- Calorimetry/Heat Transfer
- Computational Fluid Dynamics
- Electrical Engineering
- Engineering Physics
- Engineering Thermodynamics/Thermophysical Engineering
- Heat Transfer & Calorimetry
- Materials Science & Engineering
- System Dynamics
- LaTex
- Matlab
- Python
Mentorship offered
- Operations Consulting
- Device Fabrication
- Concept Development
- Scientific and Technical Research
Academic links
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About
Dr. Rakesh Kumar is a Mechanical Engineering researcher and academic specializing in computational mechanics, stochastic finite element methods, uncertainty quantification, structural reliability and scientific machine learning. His research focuses on probabilistic modelling of engineering systems with spatially varying material properties, inverse material characterisation, surrogate modelling, stochastic structural dynamics, heat transfer and adaptive computational methods for degrading structures. He has authored six single-author peer-reviewed journal papers with Springer Nature, Elsevier, IOP Publishing and SAGE Publications, and brings more than thirteen years of teaching and academic mentoring experience in Mechanical Engineering.
Publications 8
Journal articles
- (2024). From Gaussian to Lognormal: Improving Material Property Modeling for Precise Structural Predictions. Applied Physics A, Springer Nature.
- (2024). Stochastic Eigenvalue Computation for Cantilever Beam Dynamics Using Eigenvector-Based Polynomial Chaos Expansion. Stochastic Eigenvalue Computation for Cantilever Beam Dynamics Using Eigenvector-Based Polynomial Chaos Expansion.
- (2024). Heat Transfer in Material Having Random Thermal Conductivity Using Monte Carlo Simulation and Deep Neural Network. Multiscale and Multidisciplinary Modeling, Experiments and Design, Springer Nature.
- (2025). Integrated Stochastic Modeling and Neural Networks for Inverse Prediction of Elastic Modulus in Beams. International Journal of Applied and Computational Mathematics, Springer Nature.
- (2025). Comparative Analysis of Polynomial Chaos Expansion and Neural Networks for Inferring Elastic Modulus from Beam Deflection with Matérn Covariance. Journal of Computational Science, Elsevier.
Conference papers
- (2022). Structural Dynamic Analysis of a Beam Having Random Material Properties. ACMFMS 2022, IIT Guwahati.
- (2023). Eigen Frequency Analysis of Cantilever Beams with Random Elastic Modulus: Monte Carlo Simulations and Deep Learning Approach. VETOMAC 2023.
- (2024). Advancements in Parameter Estimation of Stochastic Material Properties for Structural Engineering Applications. ICEM 2024, IIT Madras.
Experience
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Independent Researcher
Independent / Self-directed
6 Oct 2025 - Present (current)
-
Doctoral Researcher, M.Tech.–Ph.D. Mechanical Engineering
IIT Jodhpur
22 Jul 2019 - 6 Oct 2025
-
Assistant Professor
Galgotia College of Engineering & Technology
1 Apr 2014 - 20 Jul 2019
-
Assistant Professor
Ideal Institute of Technology
1 Aug 2010 - 31 Mar 2014
Education
-
22 Jul 2019 - 6 Jun 2026
Ph.D., Mechanical Engineering
IIT Jodhpur
-
1 Aug 2001 - 9 Aug 2003
M.Tech., Applied Mechanics
IIT Delhi
-
1 Aug 1995 - 1 Jun 1999
B.Tech., Production Engineering
BIT Sindri
Awards
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GATE Mechanical Engineering – All India Rank 22
Graduate Aptitude Test in Engineering (GATE) · 2011
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GATE Mechanical Engineering – AIR 82
GATE · 2009
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GATE Mechanical Engineering – AIR 144
GATE
Events & training
- 2022
Conference / Research Presentation · IIT Guwahati
ACMFMS 2022
- 2023
Conference / Research Presentation
VETOMAC 2023
- 2024
Conference / Poster Presentation · IIT Madras
ICEM 2024
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