RAJKUMAR VELU
Also known as: Research Scientist, Professor
Indian Institute of Technology Jammu, University of Michigan, Auckland University of Technology, PSG College of Technology, Singapore University of Technology and Design, KLN College of Engineering
About
Rajkumar Velu, PhD, is an Assistant Professor, Department of Mechanical Engineering and Dual Affilation: Department of Materials Engineering at the Indian Institute of Technology Jammu and worked as Visiting Assistant Professor at NTUST Taiwan in 2024. Visiting Faculty at University of L'Aquila (2025). Priorly worked as a visiting research associate (2023) and Research Fellow at the Centre for Laser Aided Intelligent Manufacturing (CLAIM), University of Michigan, USA, and as a Post-Doctoral Research Fellow at the Digital Manufacturing and Design Centre (DManD), Singapore University of Technology and Design, Singapore. He completed his PhD thesis at the Auckland University of Technology, New Zealand, in selective laser sintering of specific biopolymer composites for biomedical application. Dr Velu is also the recipient of the prestigious GATE scholarship, best all-rounder award, best outgoing student gold medal for his academic performances at the university level. Consequently, he has considerable insights and knowledge on different polymer, hydrogels and composite materials used explicitly for the 3D printing process. He also has substantial experience in material and component characterization targeting specific responses, evaluating the complex thermo-mechanical aspects of powder bed processing, extrusion processing, and post-mortem studies for mechanical, electrical and biological attributes. More than 30 publications were generated from his research activities, and he received a scientific research award at an international conference conducted by Philadelphia University, Amman, Jordan 2010. Also, a recipient of the “young scientist award” 2018 at the Annual Conference on 3D printing and bioprinting in Health care, Singapore. Dr Velu’s research interests encompass engineering design, optimization, and developing advanced manufacturing processes (Additive Manufacturing) and materials for designing and fabrication for fuel cell, biomedical and aerospace applications. Moreover, based on his current research practice, he is involved in developing Artificial Intelligence into an additive manufacturing process to fabricate end-use products and eliminate post-mortem analysis.
Employment
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Indian Institute of Technology Jammu Assistant Professor2021 - Present
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University of Michigan Research Fellow2020 - 2020
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Singapore University of Technology and Design Post Doctoral Research Fellow2017 - 2020
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Auckland University of Technology Research Assistant2016 - 2017
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Auckland University of Technology Research Technician2014 - 2015
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Auckland University of Technology Graduate Teaching Assistant2012 - 2017
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Auckland University of Technology Research Scholar (PhD)2012 - 2016
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PSG College of Technology Research Assistant2010 - 2011
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SACS MAVMM Engineering College Lecturer2009 - 2009
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TV Sundaram Iyengar and Sons Graduate Design Engineer2008 - 2008
Education
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Auckland University of Technology PhD2012 - 2017
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PSG College of Technology Masters of Engineering2009 - 2011
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KLN College of Engineering Bachelor of Engineering2005 - 2008
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Thanapandiyan Polytechnic Diploma in Automobile Engineering2002 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- Quantitative Evaluation and Machine Learning‐Based Prediction of Linear Density and Tensile Strength in Glass Fiber‐Reinforced Tapes for Enhanced Quality Control Save
- Additive manufacturing of flow field plates for polymer electrolyte membrane fuel cells: Scopes, challenges, and future prospects towards sustainable mobility Save
- Modelling and experimental analysis of fibre orientation effects in 3D printed continuous carbon fibre composites Save
- Bio-fabrication and 3D printing of keratin-enriched sodium alginate-gelatin scaffolds for the application of skin scar regeneration Save
- Integrated statistical analysis and machine learning-based predictive modelling of mechanical properties in 3D printed acrylonitrile butadiene styrene via material extrusion for unmanned aerial vehicle applications Save
- Optimization of selective laser sintering process parameters for phenolic thermoset composites using X-ray CT analysis Save
- Additive Manufacturing of Functionally Graded Materials: A Comprehensive Review Save
- Geometrical Form Deviation and Defect Analysis of SLM Processed Slender Parts Using Computer Vision Methodology Save
- A Comprehensive Review on Printed Electronics: A Technology Drift towards a Sustainable Future Save
- Polymer based flow field plates for polymer electrolyte membrane fuel cell and the scope of additive manufacturing: A techno‐economic review Save