Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | MR. RAHUL BHAUSAHEB PAWAR

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MR. RAHUL BHAUSAHEB PAWAR

Designation:

Assistant Professor

Department:

Computer Engineering (Software Engineering)

Email :

rahul.pawar@vit.edu

Phone :

7709161904

 



Personal

Educational Qualification :

University Degree Year
Oriental University Phd 2020
Savitribai Phule Pune University (SPPU) ME 2016


Date of Joining : 01/09/2025


Total Experience : 11 year:6 month


Professional Members :

  • Life Membership

    • Experience :

    Sr. No Organisation Designation From Date To Date Years of Experience
    1 AVCOE Sangamner Assistant Professor 01-Dec-2014 - 11

    Professional Contribution :

    1. Curriculum Review and Development Committee.

    2. Vishwa Anubhuti Gift Distribution Committee

    3. FY ME F Class Teacher

    4. SEDA Class Teacher and Guardian Teacher

    5. ME_F Class_Teacher


    Invited Talks :

    Sr. No Name Description Type Role From Date To Date
    1 Emerging Trends in Technology and Innovation for Digital Transformation FDP on Emerging Trends in Technology and Innovation for Digital Transformation FDP Participated 24-Nov-2025 28-Nov-2025
    2 Recent Trends in Computation Study in recent trends in computation FDP Participated 15-Sep-2025 19-Sep-2025
    3 Emerging Trends in Computing Training given to related emerging trends in computing FDP Participated 08-Sep-2025 13-Sep-2025
    4 Responsive Web Design MOOC Participated - -
    5 Build a resposive web site CSS and HTML MOOC Participated - -
    6 Build a Product splash page with HTML and CSS MOOC Participated - -

    Research Grant / Funded Projects :

    1. AI on Blockchain-Based Agriculture Supply Chain Platform
    2. Accelerating PINN Training with MATLAB for Real-Time Thermal Stress Modeling in Electric Vehicle Batteries
    3. Visualization Theme and Component Library

    Patents :

    1. A CT TO-MRI BRAIN SCAN GENERATION SYSTEM
    2. A LAPTOP HEATING PREVENTION AND DETECTION SYSTEM FOR REAL-TIME AI-DRIVEN OVERHEATING DETECTION, PREDICTION AND AUTOMATED THERMAL MANAGEMENT



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