Faculty Profile
Home | DR. CHAITALI RAMESH SHEWALE

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DR. CHAITALI RAMESH SHEWALE

Designation:

Assistant Professor

Department:

Information Technology

Email :

chaitali.shewale@vit.edu

Phone :

9767672283

Educational Qualification :

University Degree Year
JJTU Phd 2024


Date of Joining : 02/08/2022


Total Experience : 0 year:0 month

Professional Contribution :

  1. NBA criteria 4 work

  2. Class teacher

  3. Student Activity Coordinator

  4. Student Activity Club Incharge

  5. Foundation day Activity


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Innovative Healthcare: Leveraging AI and ML for Advanced Biomedical Signal Analysis” FDP Participated 30-Oct-2025 04-Nov-2025
2 Quantum Computing FDP Participated 21-Oct-2025 25-Oct-2025
3 Coursera course Generative AI Other Participated 01-Sep-2025 30-Apr-2026
4 Unveiling Quantum Computing from Fundamentals to Real-World Applications FDP Participated 19-Aug-2025 23-Aug-2025
5 Digital Horizon: A Summer Workshop on Digital Twins and Metaverse, FDP Participated 23-Jun-2025 27-Jun-2025

International Conference:

  1. Applying Machine Learning to Identify Optimal Locations for Wind Energy Generation Based on Regional Suitability ,2025 2nd Asia Pacific Conference on Innovation in Technology (APCIT),126
  2. Smart AI Proctor: Automated Exam Monitoring System ,2025 IEEE Pune Section International Conference (PuneCon),126

International Journal:

  1. Automatic Brain Tumor Detection And Classification Using Modified Densenet201 ,IJES,125

Invited Article:

  1. AIOps: Applying AI for Cloud Operations and Monitoring ,Vishwakarma Conference Proceedings,126
  2. AI-Powered Secure Multi-Layer Deep Steganography System with Blockchain Verification ,VPC,126


Research Grant / Funded Projects :

  1. Design and development of model for crop loss analysis due to natural calamities
  2. Analysis of Malnutrition in Children Under the Age of 5 years in Rural Maharashtra through Anganwadi
  3. NextGen Safety Developing an AI Bot to Protect and Empower Women
  4. Real time software development health mterics dashboard using data analytics
  5. Android APP for EMS 9000
  6. Training and Reporting system:Online system and storage management
  7. Bug triage Automation using natural language processing
  8. AI based software effort estimation using machine learning
  9. Bug classification and severity prediction in software testing
  10. AI code platform for secure and coded assessment

Patents :

  1. A multi tool web vulnerability scanner
  2. A REAL-TIME EMBEDDED SENSOR-BASED 3D INDOOR TRACKING AND VISUALIZATION SYSTEM
  3. AN IMAGING AND MACHINE LEARNING BASED SYSTEM FOR ADVANCED CROP DISEASE DETECTION



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