Gaurav Kumar

I’m a mechanical engineering graduate from Cochin University of Science and Technology (CUSAT), India. Implementation of machine learning (ML) in the field of mechanical engineering always intrigues me! I am fond of carrying out research that can help people shorten the gap between ML and mechanical engineering.

Currently, I am a graduate student at Kyushu Institute of Technology.

Experience

Education

Skills

• MS Office
• C Programming
• HTML/CSS
• Data Science
• Artificial Neural Network (ANN)
• MATLAB
• OpenFOAM
• COMSOL
• Ansys Fluent

• Volunteering and community involvement
• Writing papers
• Learning Japanese language
• Yoga

My Story

Being an engineer and a programming enthusiast, I learn from what I do and I practice to make it better. I love experimenting with my programming abilities by learning basics to advanced level through real-time projects and examples.

I utilize time in reading research papers because I believe every study and every project in the world of research not only provides insights, answers, and details, it poses new questions. I love to work on multidisciplinary topics by collaborating with researchers and try to learn from them. After considering the option to continue my studies as a graduate student, I was fortunate enough to bag four well-known scholarships which are the Chinese Government Scholarship (CSC), Türkiye Bursları (TBBS), Global Korea Scholarship (GKS), and Monbukagakusho Scholarship (MEXT).

Apart from research works, I enjoy most of my time being outdoors. I enjoy biking, free climbing, and playing football. When forced indoors, I follow a number of sci-fi and action genre movies and television shows. I love to cook and consider me as an aspiring chef. Haha!

I also own a web development company, WebMake (Visit here!). I build web pages for clients who want to put their business on-line. Also if someone needs a portfolio like this website, I can help ^_^

Awards & Certifications

• Best Presenter Award - IEICES 2023, Kyushu University
• Certificate course in German Language - Department of English and Foreign Languages, CUSAT
• Advanced MATLAB for Scientific Computing - Stanford University MOOC
• 2 ^nd Place - Scienza 2019, School of Engineering, CUSAT - 'Project Demo: Swamp Air Cooler'
• 2 ^nd Place - Evoke 2019, TKM College of Engineering (TKMCE) - 'Paper Presentation'
• 2 ^nd Place - Dhishna 2017, School of Engineering, CUSAT - 'Paper Presentation: Aqua Silencers'

Publications

• Haider, S. A., Kumar, G., Goyal, T., Raj, A. (2024). Stiffness estimation and classification of biological cells using constriction microchannel: poroelastic model and machine learning. Microfluidics and Nanofluidics. doi.org/10.1007/s10404-024-02710-6 (Link)


• Kumar, G., Datong, Z., Nagayama, G. (2023). OpenFOAM-based Numerical Simulation on Capillary Flow in Closed Hierarchical Microchannels. Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES). doi.org/10.5109/7157999 (Link)


• Hussain, S., Bedon, C., Kumar, G., Ahmed, Z. (2023). Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling. Advances in Civil Engineering. doi.org/10.1155/2023/6619208 (Link)


• Shubhangee, Kumar, G. & Mondal, P. K. (2022). Application of artificial neural network for understanding multi-layer microscale transport comprising of alternate newtonian and non-newtonian fluids. Colloids and Surfaces A: Physicochemical and Engineering Aspects. 128664. doi.org/10.1016/j.colsurfa.2022.128664 (Link)


• Khan, A., Kumar, G. (2021). Surveying consumer acceptance of textile products with fragrance finish: A detailed review. Tekstilna industrija. doi: 10.5937/tekstind2104037K (Link)


• Kumar, G., Saha, S. P., Ghosh, S., & Mondal, P. K. (2021). Artificial neural network-based modelling of optimized experimental study of xylanase production by Penicillium citrinum xym2. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. doi: 10.1177/09544089211064153 (Link)


• Xu, Y., Zhai, M., Yang, D., Ma, Z., Kumar, G., Dong, P., & Zhu, J. (2021) Process simulation of the fusion decoupling combustion for biomass. Environmental Technology. doi: 10.1080/09593330.2021.1976281 (Link)


• Kumar, G. (2021). A virtual imprint of the artificial neural networks. Trends in Computer Science and Information Technology, 007-116. doi:10.17352/tcsit.000033 (Link)


• Xu, Y., Zhai, M., Zhang, Y., Shen, Q., Kumar, G., Dong, P., & Parvez, A. M. (2021). Effect of the ash melting behavior of a corn straw pellet on its heat and mass transfer characteristics and combustion rate. Fuel, 286, 119483. doi:10.1016/j.fuel.2020.119483 (Link)


• Kumar, G., B.s., G. Thampi., & Mondal, P. K. (2020). Predicting Performance of Briquette Made from Millet Bran: A Neural Network Approach. Advanced Journal of Graduate Research, 9(1), 1-13. doi:10.21467/ajgr.9.1.1-13 (Link)


• Kumar, G., & Kumar, R. R. (2020). A correlation study between meteorological parameters and COVID-19 pandemic in Mumbai, India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 1735-1742. doi:10.1016/j.dsx.2020.09.002 (Link)


• Gaikwad, H. S., Kumar, G., & Mondal, P. K. (2020). Efficient electroosmotic mixing in a narrow-fluidic channel: The role of a patterned soft layer. Soft Matter, 16(27), 6304-6316. doi:10.1039/d0sm00890g (Link)


• Kumar, G. (2019). Liquid Desiccant Systems: A Review. International Journal of Emerging Technologies and Innovative Research, 6(4), 55-60. Retrieved from www.jetir.org/view?paper=JETIR1904G67.