Helmi Ayari | Data processing | Research Excellence Award

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Mr. Helmi Ayari | Data processing | Research Excellence Award

Université Ibn khaldoun | Tunisia

Helmi Ayari is a doctoral researcher in Artificial Intelligence at the École Polytechnique de Tunisie, focusing on machine learning, deep learning, and intelligent imaging systems, with a research track record that includes 3 published documents, an h-index of 1, and citations from 33 documents. He holds a Master of Research in Intelligent Systems for Imaging and Computer Vision and a fundamental Bachelor’s degree in Computer Science. His work includes contributions to medical image analysis, explainable AI, and optimization techniques, with notable publications such as a comparative study of classical versus deep learning-based computer-aided diagnosis systems published in Knowledge and Information Systems (Q2), and a study integrating genetic algorithms with ensemble learning for enhanced credit scoring presented at the International Conference on Business Information Systems (Class B). Professionally, he has served as a Maître Assistant and teaching assistant, delivering courses in machine learning, deep learning, Python, R, computer architecture, and automata theory, while supervising Master’s research, coordinating academic programs, and contributing to hackathons and university events. His research interests span AI-driven decision systems, interpretable machine learning, evolutionary optimization, and applied deep learning. Recognized for both academic and pedagogical engagement, he continues advancing impactful AI research and education.

Profile : Scopus

Featured Publications

Computer-Aided Diagnosis Systems: A Comparative Study of Classical Machine Learning Versus Deep Learning-Based Approaches. Knowledge and Information Systems, published May 23, 2023. https://doi.org/10.1007/s10115-023-01894-7

Integrating Genetic Algorithms and Ensemble Learning for Improved and Transparent Credit Scoring. International Conference on Business Information Systems, June 25, 2025. (Class B)

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

Scopus
Orcid ID
Google Scholar

📌 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.

💼 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.

📚 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.

📖Publications

Promising Weld Depth of Penetration by Melting Point Depression Through TiO₂ 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