Sanjib Jaypuria

Assistant Professor

Dr. Sanjib Jaypuria earned his Ph.D. in Electron and Laser Beam Welding, along with modeling and optimization utilizing Machine Learning methodologies, from the Department of Mechanical Engineering at the esteemed Indian Institute of Technology (IIT), Kharagpur, India, in 2021. Prior to this, he completed his M.Tech from IIT Delhi and his B.Tech in Mechanical Engineering from NIT Rourkela. Before embarking on his teaching career, Dr. Jaypuria gained valuable industry experience at L&T and Tata Motors after completing his B.Tech. His primary research interests revolve around employing machine learning for modeling and soft computing for optimization in manufacturing processes, particularly in Electron and Laser Beam Welding, as well as 3D Printing. Additionally, he delves into mechanical and metallurgical material characterization, robotics, and their various applications. With a wealth of academic contributions, Dr. Jaypuria has authored numerous papers in esteemed Peer-Reviewed International Journals, Book Chapters, and International Conference Proceedings. Accumulating over two years of post-Ph.D. experience in teaching and research, he currently serves as an Assistant Professor at the School of Mechanical Engineering at KIIT Deemed to be University, an Institute of Eminence located in Bhubaneswar, Odisha, India. In his role, Dr. Jaypuria imparts knowledge on a range of undergraduate and postgraduate subjects such as Industrial Automation and Robotics, Internet of Things, Smart Manufacturing, and Industry 4.0, fostering innovation among students. Over the past two years, he has supervised two M. Tech. projects and numerous B. Tech. group projects, further contributing to the academic and research landscape in his field.

Profile Links

Scopus Id :
57201859505

Social Links

Educational Qualification
PhD (IIT Kharagpur)

Research Interests
Machine Learning, Artificial Intelligence, Optimization & Modelling, Electron & Laser Material Processing, Mechanical & Metallurgical characterization.

Administrative Responsibility
Minor Project Coordinator

Awards & Honours
1) Awarded with ""Brundaban Sahu Memorial Award "" from 60th Annual Technical Session of Odisha State Centre, The Institution of Engineers (India). br> 2) Received International Travel Grant to present a paper at ASME conference at Penn State University, United States.br> 3) Awarded with “Er. Pratap Chandra Panda Award” from 63rd Annual Technical Session of Odisha State Centre, The Institution of Engineers (India).

Memberships
1- Indian Science Congress
2- International Association of Engineers (IAENG)-148099"

Outreach Activity
1) Coordinator of ATAL FDP on Role of MCDM Techniques in Data-Driven Supply Chain for Sustainability and Resilience.
Journals/Conferences :
1) Gupta, S. K., Jaypuria, S., Pratihar, D. K., & Saha, P. (2023). Corrosion analysis of welded Nb-1% Zr-0.1% C alloy in lead-bismuth eutectic solution. Journal of Alloys and Compounds, 968, 172273.
2) Gupta, S. K., Jaypuria, S., Pratihar, D. K., & Saha, P. (2023). Effects of thermal ageing time and temperature during heat-treatment on the mechanical properties of fiber laser welded Nb-1% Zr-0.1% C alloy in continuous wave mode. Materials Characterization, 206, 113448.
3) Jaypuria, S., Bondada, V., Gupta, S. K., Pratihar, D. K., Chakrabarti, D., & Jha, M. N. (2023). Prediction of electron beam weld quality from weld bead surface using clustering and support vector regression. Expert Systems with Applications, 211, 118677.
4) Jaypuria, S., Das, A. K., Kanigalpula, P. K. C., Das, D., Pratihar, D. K., Chakrabarti, D., & Jha, M. N. (2023). Swarm intelligence-based modeling and multi-objective optimization of welding defect in electron beam welding. Arabian Journal for Science and Engineering, 48(2), 1807-1827.
5) Das, D., Jaypuria, S., Pratihar, D. K., & Roy, G. G. (2021). Weld optimisation. Science and Technology of Welding and Joining, 26(3), 181-195.
6) Das, D., Das, A. K., Pal, A. R., Jaypuria, S., Pratihar, D. K., & Roy, G. G. (2021). Meta-heuristic algorithms-tuned Elman vs. Jordan recurrent neural networks for modeling of electron beam welding process. Neural Processing Letters, 53, 1647-1663.
7) Gupta, S.K., Jaypuria, S., Pratihar, D.K. and Saha, P. (2020). Study on mechanical and metallurgical properties of fiber laser welded Nb-1% Zr-0.1% C alloy. Optics & Laser Technology, 127, p.106153.
8) Jaypuria, S., Chakrabarti, D., Pratihar, D. K., & Jha, M. N. (2019). Effect of beam oscillations on formation of defects in electron beam welding of copper plate. International Manufacturing Science and Engineering Conference (Vol. 58752, p. V002T03A046). American Society of Mechanical Engineers (ASME).
9) Jaypuria, S., Meher, J., Kanigalpula, P. K. C., & Pratihar, D. K. (2018). Electron beam butt welding of Cu-Cr-Zr alloy plates: experimental investigations, studies on metallurgical and mechanical properties. Fusion Engineering and Design, 137, 209-220.
10) Kanigalpula, P. K. C., Jaypuria, S., Pratihar, D. K., & Jha, M. N. (2018). Experimental investigations, input-output modeling, and optimization of spiking phenomenon in electron beam welding of ETP copper plates. Measurement, 129, 302-318.