John Rajan | Optimization Techniques | Best Researcher Award

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Dr. John Rajan | Optimization Techniques | Best Researcher Award

Vellore Institute of Technology, Chennai | India

Author Profile

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đź“Ś Professional Summary

Prof. A. Johnrajan is an accomplished academician and researcher with over 26 years of teaching and research experience in Mechanical and Manufacturing Engineering. Currently serving as Professor at the School of Mechanical Engineering, VIT Chennai, he has made significant contributions in smart manufacturing, supply chain modeling, and sustainable engineering practices. His academic and leadership roles span top institutions like VIT Vellore and Sathyabama University.

🎓 Education

He earned his Ph.D. in Mechanical Engineering from Anna University, Chennai (2008) with a thesis on decision-making models for vendor evaluation. He holds a Master’s in Industrial Engineering from Thyagarajar College of Engineering (1994) and a Bachelor’s in Mechanical Engineering from National Engineering College (1990), following solid academic foundations at A.V. Hr. Sec. School, Paramakudy.

đź’Ľ Professional Experience

Prof. Johnrajan has held various senior academic positions, including Head of Department and Professor at Sathyabama University. He began his career as a Lecturer at Kalasalingam College of Engineering and Sathyabama Engineering College. His professional journey includes academic leadership, curriculum development, and collaborative research projects with government institutions like IGCAR, Kalpakkam.

đź“š Academic Citations & Publications

He has authored 33 international journal papers, 4 national journals, and 36 conference papers, with 24 Scopus-indexed and 4 Web of Science publications. He is a recognized reviewer for journals like IEEE, Inderscience, and International Journal of Energy Research. His ResearchGate and Google Scholar profiles reflect impactful contributions to the engineering research community.

🛠️ Technical Skills

Skilled in simulation tools, manufacturing process optimization, quality control, and data analytics for smart systems. Expertise extends to IoT applications, Six Sigma, Blockchain for wastewater management, Industry 4.0, and Surface Engineering.

👨‍🏫 Teaching Experience

With a passion for pedagogy, he has delivered courses in Operations Research, Total Quality Management, Supply Chain Management, Production Planning, and IoT in Mechanical Engineering. He has mentored five Ph.D. scholars and is currently guiding two at VIT Chennai.

🔬 Research Interests

His interdisciplinary research covers smart manufacturing, supplier selection models, renewable energy systems, welding technology, blockchain applications, and solar PV technologies. He has published patents in blockchain-based mHealth data systems, industrial robotics, and big data analytics, with five more filings in progress.

🏅 Awards & Recognitions

Recipient of the National Merit Scholarship (1986–1990), he received the Best Faculty Award and Gold Medal from Sathyabama University in 2009 and Research Awards from VIT for his publications and patents in 2017 and 2019.

đź“–Publications

Promising Weld Depth of Penetration by Melting Point Depression Through TiOâ‚‚ Nano-Flux in Activated TIG Welding of Stainless Steel AISI 304L
  • Authors: M. Santhosh, A. John Rajan, T. Sampath Kumar, A. Vinoth Jebaraj, B. Kannan
    Journal: Transactions of the Indian Institute of Metals
    Year: 2025
Impact of Reverse Marangoni Convection and Arc Constriction on Flux-Based TIG Welding Processes of AISI 304L Stainless Steel
  • Authors: M. Santhosh, A. John Rajan, T. Sampath Kumar, A. Vinoth Jebaraj, B. Kannan
    Journal: Journal of Materials Research
    Year: 2024
 Vapour Polishing of Fused Deposition Modelling (FDM) Parts: A Critical Review of Different Techniques, and Subsequent Surface Finish and Mechanical Properties of the Post-Processed 3D-Printed Parts
  • Authors: Amal Mathew, S. Ram Kishore, Anchil Tona Tomy, M. Sugavaneswaran, Steffen G. Scholz, Ahmed Elkaseer, Vincent H. Wilson, A. John Rajan
    Journal: Progress in Additive Manufacturing
    Year: 2023
Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective
  • Authors: S. Raja, A. John Rajan, Indran Suyambulingam
    Journal: Advances in Polymer Technology
    Year: 2023
A Decision-Making Model for Selection of the Suitable FDM Machine Using Fuzzy TOPSIS
  • Authors: S. Raja, A. John Rajan, Punit Gupta
    Journal: Mathematical Problems in Engineering
    Year: 2022

 

Shital Saha | Best Researcher Award | Statistical Methods

Published on by Research Data Analysis

Shital Saha | Best Researcher Award Winner 2023  🏆

Mr Shital Saha : Statistical Methods

Congratulations to Mr. Shital Saha, recipient of the Statistical Methods Best Researcher Award at the International Research Data Analysis Excellence Awards! Your dedication to advancing statistical methods is truly commendable, and this recognition is a testament to your outstanding contributions. Well done!

Professional profile:

Early Academic Pursuits:

I embarked on my academic journey in Patiram High School, West Bengal, excelling in subjects like Bengali, English, Mathematics, Physics, Chemistry, History, and Geography. This laid the foundation for my future educational endeavors.

In 2013, I pursued a Bachelor's degree from Balurghat College, specializing in Mathematics (Hons.), Physics, and Chemistry. Subsequently, I obtained a Master's degree in Mathematics from the University of Gour Banga in 2015, showcasing my commitment to the field.

Professional Endeavors:

Driven by a passion for education, I earned a B.Ed. degree in 2017 from the University of Gour Banga, specializing in Mathematics. This equipped me with the skills needed to contribute meaningfully to the field of education.

Currently, I am pursuing a Ph.D. in Statistics with a focus on Statistical Information Theory at the National Institute of Technology Rourkela, under the guidance of Prof. Suchandan Kayal.

Contributions and Research Focus:

My research, centered on Statistical Information Theory, explores diverse aspects. Notable publications include works on extended fractional cumulative past, paired φ-entropy measures, and weighted varentropy. Furthermore, my ongoing studies delve into informational characteristics of cubic transmuted distributions and general weighted information generating functions.

As a referee for Contemporary Mathematics, I actively engage in the scholarly community, contributing to the peer-review process.

Accolades and Recognition:

My academic achievements include qualifying JAM-2013 (AIR-658), CSIR-UGC NET (JRF) Dec. 2019 (AIR-221), and WBSET-2020. Additionally, I successfully cleared CTET (Paper I & II) in December 2019.

Impact and Influence:

My research, as evidenced by published and under-review papers, contributes valuable insights to the fields of physics and applied mathematics. Attendance at workshops and seminars underscores my commitment to staying abreast of emerging trends in statistical research.

Legacy and Future Contributions:

I am dedicated to leaving a lasting impact through my contributions to academia. My ongoing Ph.D. research and engagement as a referee indicate a commitment to the advancement of statistical knowledge.

In the future, I aspire to further enrich the field through continued research, teaching, and collaboration with peers and scholars globally. My legacy aims to inspire future generations in the pursuit of knowledge and excellence.

Notable publication :

Citations:

A total of  83 citations for his publications, demonstrating the impact and recognition of his research within the academic community.