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Mrs. G. Deepti Raj

Mrs. G. Deepti Raj View All

Assistant Professor

School of Technology

Mrs. Deepti Raj holds a Bachelor’s degree in Computer Science and Engineering from Sri Venkateshwara University, Tirupathi, and a Master’s degree in Technology in Computer Science and Engineering from Sri Krishnadevaraya University, Anantapur, Andhra Pradesh. She is currently in the final stage of completing her Ph.D. at Vellore Institute of Technology, Vellore, and has submitted her thesis.

With over three years of teaching experience as an Assistant Professor at Chettinad College of Engineering and Technology, Karur, Tamil Nadu, Mrs. Deepti Raj has demonstrated excellence in both academic and research pursuits. She has supervised more than two student projects at both undergraduate and postgraduate levels and has contributed significantly to scholarly research, with six publications in reputed international and national journals. She has also shown her commitment to academic community-building by organizing two workshops and one conference.

Her technical expertise spans advanced and emerging areas such as deep learning, computer vision, pattern recognition, Python, C++, quantitative research, model optimization, transfer learning, metaverse technologies, and GPT-based AI systems. Notably, she has developed skills in surface defect detection and AI/ML applications relevant to cutting-edge industries. Her passion for AI model development and innovation is evident in her contributions.

Mrs. Deepti’s achievements have been recognized through the prestigious Raman Research Awards for publishing Scopus-indexed AI/ML research papers in 2023, 2024, and 2025.

    • Graduation In :

      B.Tech (Computer Science and Engineering)

    • Graduation From :

      Sri Venkateswara University, Tirupati, Andhra Pradesh.

    • Graduation Year :

      2009

    • Post Graduation In :

      M.Tech (Computer Science and Engineering)

    • Post Graduation From :

      Sri Krishnadevaraya University, Anantapur, Andhra Pradesh.

    • Post Graduation Year :

      2011

    • Doctorate In :

      Ph.D (Computer Vision)

    • Doctorate From :

      Vellore Institute of Technology University, Vellore, Tamilnadu.

    • Doctorate Year :

      Pursuing

    • 2 Yrs 10 Months

  • Book Chapters:

    • One Book chapter entitled “ Evolution of Industry 4.0 and Its Fundamental Characteristics” published in the Book titled “ Digital Transformation : Industry 4.0 to Society 5.0”.

    Publications in Journals:

    1. “ Steel Strip Quality Assurance with Yolov7-CSF: A Coordinate Attention and SIoU Fusion Approach” published in IEEE Access(2023).
    2. “ Enhancing Surface Detection: A Comprehensive Analysis of various Yolo Models” published in Heliyon(2025).
    3. “ YoloTransformer-TransDetect: A Hybrid model for Steel Tube Defect Detection using Yolo and Transformer Architectures” published in International Journal on Interactive Design and Manufacturing(IJIDeM)(2024).
    4. “A Survey on AI Integration into Industry 5.0” published in Gazi University Journal of Science(2025).
    5. “MoL-Yolov7: Streamlining Industrial Defect Detection with an Optimized Yolov7 Approach” published in IEEE Access(2024).
    6. “GPT(Generative Pre-trained Transformer)–A Comprehensive review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions” published in IEEE Access(2024).

    Publications in Conferences:

    • ”Multiclass Classification and Defect Detection of Surfaces using modified YOLO”, presented in 12th International Conference on Advanced Computing(ICoAC)(2023).
    • “ Multiclass Classification and Defect Detection of Steel Tube using modified Yolo”, presented in International Conference on Neural Information Processing(2023).