Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | ASHWINI PRAVIN NAVGHANE

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ASHWINI PRAVIN NAVGHANE

Designation:

Assistant Professor

Department:

Electronics & Telecommunication Engineering

Email :

ashwini.navghane@vit.edu

Phone :

9860255495

 



Personal

Educational Qualification :

University Degree Year
Savitribai Phule Pune University ME 2009


Date of Joining : 03/08/2009


Total Experience : 17 year:5 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 VIIT KONDHWA PUNE ASSISTANT PROFESSOR 04-Jan-2009 - 17

Professional Contribution :

  1. Timetable Coordinator

  2. Vertical Coordinator Cultural

  3. Malpractice Investigation Committee Member

  4. B. Tech Class Teacher


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Recent trends in computation Organised by VIT FDP Participated 15-Sep-2025 19-Sep-2025
2 Research and Publication Ethics 2 Credits Course by SPPU FDP Participated 18-Aug-2025 23-Sep-2025
3 Recent Trends and Applications of Artificial Intelligence FDP Participated 14-Jul-2025 18-Jul-2025

Book Chapter:

  1. Reinforcement Learning Algorithms in Python for Adaptive Control Systems ,null,126
  2. Hybrid Artificial Intelligence Models for Predictive Analytics Deep Learning and Adaptive Systems ,null,125

International Conference:

  1. Dual Attention GAN for Multi Disease Detection in Noisy Chest Ray Images ,5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN-2025),126
  2. Flow to Glow: Innovative Energy from Exhaust Air ,Third International Conference on Emerging Applications of Material Science and Technology,126
  3. WaveGuard: An ESP32-based Ultrasonic Sensing and Edge AI Model for Real-Time Intrusion Detection ,Third International Conference on Emerging Applications of Material Science and Technology,126
  4. Dual-Axis Sun Tracking Solar Panel ,2025 IEEE Pune Section International Conference (PuneCon),126
  5. Predicting the Risk of Cardiac Arrest using Machine Learning and Deep Learning Techniques ,16th International Conference on Advances in Computing Control and TelecommunicationTechnologies Act 2025,125


Research Grant / Funded Projects :

  1. Learning driven Solar Energy Boosting

Patents :

  1. A DUAL-AXIS SOLAR TRACKING AND PIEZOELECTRIC ENERGY HARVESTING SYSTEM



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