Artificial Intelligence and Machine Learning

Dr. Vinaykumar V N

Designation : Associate Professor
Department : Artificial Intelligence & Machine Learning
Specialization : Computer Science and Engineering

Areas of Interest :

  • Image Processing
  • Machine Learning
  • Deep Learning

Professional Body Membership :

NIL

Awards / Recognition / Achievements :

  • IEEE Conference Finance Chair
  • IEEE Conference Session Chair
  • BoE Member at MCE Hassan
  • BoE Member at SSIT Tumakuru

Submission of Research Proposals :

No. of R&D Proposals Submitted No. of R&D Proposals Completed No. of R&D Proposals Under Review
07 05 02

Details of R&D Proposals :

  1. GenAI-Powered Agricultural Suite
    ANRF, Dept. of Bio-Technology, Govt. of India
    Status: Accepted for Technical Evaluation
    Role: Co-Principal Investigator
  2. National Center for AI-Powered STI Indicators
    ANRF, DST, Govt. of India
    Status: Under Review
    Role: Co-Principal Investigator
  3. AI Habitant for Rural Development
    ANRF, DST, Govt. of India
    Status: Accepted for Technical Evaluation
    Role: Co-Principal Investigator
  4. Smart Humanoid for Disability Management
    AICTE RPS, DST
    Status: Phase-II Review
    Role: Co-Principal Investigator
  5. AI-Shield: Blockchain Secure AI Framework
    MeitY, Govt. of India
    Status: Under Review
    Role: Co-Principal Investigator
  6. Center for Cyber Intelligence (CCI)
    K-Tech Innovation Hub, Govt. of Karnataka
    Status: Completed Phase-II Review
    Role: Co-Principal Investigator

Publications (Journals – 07) :

  • Segmentation of Brain Tumor from MRI using BOA-Based Transformer Journal of Artificial Intelligence and Technology, 2025 (Scopus Q2)
  • Enhanced Diabetes Prediction using Skip-GRU Frontiers in Endocrinology, 2025 (SCI Q1)
  • Coconut Disease Prediction using Neural Attention CNN International Journal of Environmental Sciences, 2025 (Scopus Q3)
  • Dual Strategy Swarm Intelligence + Stacked LSTM for LULC IEEE JSTARS, 2025 (Q1)
  • LSTM with Temporal Pyramid Pooling for LULC Scopus Q2, 2024
  • Feature Extraction using Residual Attention for Crop Yield IJACSA, 2024 (Scopus Q3)
  • Whale Optimization + Hybrid Deep Learning for LULC EURASIP Journal, 2023 (SCI Q2)

Conferences (05) :

  • ICDCCS – 2025: Adaptive PPO for SDN Routing
  • ICCCSMD – 2024: IoT Pothole Detection System
  • AIKIIE – 2023: Apple Leaf Disease Detection
  • ICCMSO – 2023: Cyberbullying Detection
  • ICDSIS – 2022: Satellite Image Classification

Patents :

NIL