Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

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Mrs. Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

North Dakota State University(NDSU) | United States

Umme Habiba is a dedicated researcher and educator in computer science whose work centers on machine learning, deep learning, transformer-based architectures, explainable AI, and swarm intelligence, particularly within medical data analysis. She is pursuing her Ph.D. and M.Sc. in Computer Science at North Dakota State University, where she has gained extensive teaching experience as an instructor of record and graduate teaching assistant across several undergraduate courses. Her research contributions span clinical text mining, medical risk prediction, brain–computer interface modeling, IoT security, and usability analysis of mHealth applications, with publications in reputable international journals. She has also collaborated on projects involving mobile sensor–based spatial analysis, voice-controlled IoT automation systems, and hybrid ML models for network intrusion detection. Her academic journey began with a bachelor’s degree in Computer Science and Engineering, where she developed a strong foundation in data-driven system design and intelligent applications. She has received consistently high teaching evaluations and has demonstrated a commitment to interdisciplinary research and student learning. Her long-term goal is to contribute impactful solutions at the intersection of artificial intelligence and healthcare while advancing as both a researcher and an educator.

Profile : Orcid

Featured Publication

PSO-optimized TabTransformer architecture with feature engineering for enhanced cervical cancer risk prediction, 2026

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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📌 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