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Home | DR. VAISHALI YOGESH BAVISKAR

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DR. VAISHALI YOGESH BAVISKAR

Designation:

Assistant Professor

Department:

Artificial Intelligence and Data Science

Email :

vaishali.baviskar@vit.edu

Phone :

9420482866

Educational Qualification :

University Degree Year
Bennett University Phd 2024
Savitribai Phule Pune University (SPPU) ME 2013
North Maharashtra University BE 2004


Date of Joining : 05/11/2025


Total Experience : 19 year:0 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 D Y Patil Institute of Engineering and Technology Pune Lecturer 11-Jul-2007 08-Jun-2008 0
2 G H Raisoni College of Engineering and Management Pune Assistant Professor 09-Jun-2008 05-Nov-2025 17
3 Vishwakarma Institute of Technology Pune Assistant Professor 06-Nov-2025 - 0

Professional Contribution :

  1. NBA Work Criteria Outcome Based Education

  2. Class Teacher of SY AIDS B

  3. Stage Decoration and Prize Distribution Commitee at 43rd Foundation day of InstituteFoundation day


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 India’s global Development in the Digital Age: Ensuring Security in Cyber-Physical Systems for a Resilient Future FDP Participated 24-Nov-2025 29-Nov-2025
2 NEP-2020: Orientation & Sensitization under Malaviya Mission – Teacher Training Programme (MM-TTP) Organized by University Grants Commission (UGC), MoE, GoI, organized by UGC- MMTTC, JNV University, Jodhpur, Rajasthan FDP Participated 20-Nov-2025 28-Nov-2025

Book Chapter:

  1. Deep Learning in Social Media Analysis: Machine and Deep Learning Models for Social Media Analysis in Politics ,null,125
  2. An Efficient AI based Hybrid Classification Model for Heart Disease Prediction ,null,121
  3. IOT Enabled Heart Disease Prediction using Machine Learning ,null,122

International Conference:

  1. Imaginera: Text-to-Image Generation Using Stable Diffusion ,Proceedings of International Conference on Data Analytics and Insights (pp.415-425),126
  2. An Explainable Deepfake Detection System Using XceptionNet and Gradient-based Visualizations ,International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC 2026),126
  3. AI Content Detection ,International Advanced Computing Conference,124
  4. Analysis of Parent with Fine Tuned Large Language Model ,International Advanced Computing Conference,124
  5. H2EMDCO: Design of a Hyper Ensemble Model for Evaluation of Heart Diseases from clinical observations ,null,123
  6. Design of an Augmented Heart Failure Prediction Model using Multi Parametric Analysis ,2022 IEEE 7th International conference for Convergence in Technology (I2CT),122
  7. Improving Classification Performance of Deep Learning Models using Bio-Inspired Computing ,2021 13th International Conference on Contemporary Computing,121
  8. A Model for Heart Disease Prediction using Feature Selection with Deep Learning ,Advanced Computing Conference,121
  9. Achieving Reliable Transmission using Topology Control in MANET ,CSNT '14: Proceedings of the 2014 Fourth International Conference on Communication Systems and Network Technologies,114
  10. News Article Analysis Chatbot using Generative AI ,2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI),125

International Journal:

  1. Efficient Heart Disease Prediction using Hybrid Deep Learning Classification Models ,Innovation and Research in Biomedical Engineering,123
  2. A Carbon-Aware Artificial Intelligence Framework for Achieving Net-Zero Smart Cities ,International Journal of Computer Information Systems and Industrial Management Applications,126
  3. Neuro-Symbolic Digital Twin Intelligence for Explainable Precision Healthcare: Integrating Foundation Models, Multimodal Clinical Data and Causal Decision Analytics ,Natural Resources for Human Health,126


Copyrights :

  1. PHISHALERT:AN INTELLIGENT BROWSER EXTENSION FOR PHISHING DETECTION
  2. NEWS ARTICLE ANALSYIS CHATBOT USING GENERATIVE AI
  3. TEXT TO IMAGE GENERATION USING STABLE DIFFUSION
  4. RECOMMENDER SYSTEM FOR PEDIATRIC WRIST TRAUMA DIAGNOSIS USING CNN

Patents :

  1. MECHANISM FOR NONINVASIVELY PREDICTING HEART DISEASE



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