Faculty Profile
Home | DR. LAXMI ANAND BEWOOR

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DR. LAXMI ANAND BEWOOR

Designation:

Associate Professor

Department:

Computer Engineering

Email :

laxmi.bewoor@vit.edu

Phone :

9766531977

Educational Qualification :

University Degree Year
KLE Technological University Phd 2019
Savitribai Phule Pune University (SPPU) ME 2006
Shivaji University BE 2001


Date of Joining : 25/06/2007


Total Experience : 18 year:4 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Vishwakarma Institute of Information Technology 31-Dec-2007 31-Mar-2025 17
2 Vishwakarma Institute of Technology 01-Apr-2025 - 1

Professional Contribution :

  1. Institute Time Table Coordinator


International Conference:

  1. Multi-Modal Longitudinal Framework for Alzheimer's Disease Diagnosis Using DPTPSAN and SHAP-Based Interpretability ,2026 International Conference on Emerging Trends and Innovations in ICT (ICEI),126

International Journal:

  1. Implementing Lean Six Sigma to Reduce Bias and improve Equity in AI Systems: A Framework of Ethical AI Development. ,Tanz Research Journal,125
  2. AI-Driven Automated Generation of Structured Learning Materials from Lecture Videos ,Tanz Research Journal,125
  3. An AI-Powered Face Recognition System for Automated Attendance Management in Educational Institutions ,Tanz Research Journal,125
  4. Design and Development of a Lightweight Access Control Framework for IoT Device Security ,International Journal of Applied Mathematics,125
  5. Developing a Hybrid Word Embedding Model Using Contextual Information and Classification Algorithms ,International Academic Journal of Science and Engineering,125
  6. Hierarchical taxonomy-aware modeling for granular drug resistance and disease outcome prediction in multimodal tuberculosis cohorts ,null,125
  7. Explainable multi-modal deep learning for transparent cancer diagnosis: integrating radiology, clinical features, and decision visualization ,null,126
  8. A Practical Exploration of Vision Transformers for Classification and Object Detection ,Journal of Harbin Engineering University,125

Lecture Notes:

  1. Comparative Performance Analysis of Large and Small Language Models on Text Summarization ,3rd International Conference on Data Analytics and Insights (ICDAI-2025),125


Research Grant / Funded Projects :

  1. AI-powered oral cancer screening tool



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