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Home | PROF. (DR.) ASHUTOSH MADHUKAR KULKARNI

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PROF. (DR.) ASHUTOSH MADHUKAR KULKARNI

Designation:

Reader

Department:

Engineering, Science and Humanities

Email :

ashutosh.kulkarni@vit.edu

Phone :

2024202268

Educational Qualification :

University Degree Year
Tilak Maharashtra Vidyapeeth Phd 2016
Shivaji University MCA 2000
Shivaji University BSc 1997


Date of Joining : 17/07/2001


Experience : 21 year:9 month


Area of Specialization :

  • Software_Engineering
  • Project_Management
  • Software_Quality_Management

  • Experience :

    Sr. No Organisation Designation From Date To Date Years of Experience
    1 VIT Reader 18-Jul-2001 - 21
    2 Nil Nil 01-May-2022 01-May-2022 0

    Professional Contribution :

    1. FY MCA

    2. TY MCA

    3. Exam Coordinator for Department of Information Technology

    4. Admissions 2020-21

    5. Admissions 2021-22CAP and ACAP Round

    6. Support to unplaced students

    7. NBA Criteria 7

    8. Examination

    9. Budget

    10. Admission ACAP

    11. Internal Auditor - ISO

    12. NAAC Criteria 6

    13. Venue Management - FDP on “IoT based Predictive Analyticsusing Artificial Intelligence"


    Invited Talks :

    Sr. No Name Description Type Role From Date To Date
    1 Recent trends in Computing 3.0 FDP Recent trends in Computing 3.0 organised by Department of Computer Engineering FDP Participated 09-Oct-2023 13-Oct-2023
    2 Internal Auditor - ISO 21001 ISO 21001:2018 EDUCATIONAL ORGANIZATIONS – MANAGEMENT SYSTEM Internal Auditor Training Other Participated 08-Mar-2023 08-Mar-2023

    International Journal:

    1. A Predictive Model for Occurrence of Floods Using Machine Learning Techniques ,RES MILITARIES - Social Science Journal,123
    2. Student Interaction and Engagement ,RES MILITERIES - Social Science Journal,123
    3. Determining Stock Market Forecasting by Means ofLSTM Methodology ,Grenze International Journal of Engineering and Technology (GIJET),123
    4. WEATHER AUS DATASET - PREDICTION OF RAINFALL USING MACHINE LEARNING TECHNIQUES ,ECB,123
    5. Determining Stock Market Forecasting by Means of LSTM Methodology ,Grenze International Journal of Engineering and Technology,124

    International Conference:

    1. International Conference on Emerging Smart Computing and Informatics (ESCI) ,International Conference on Emerging Smart Computing and Informatics (ESCI),122


    1. VIT Shri
    2. VIT Shri
    3. VIT Shree

    Patents :

    1. CNN BASED FINGER VEIN IDENTIFICATION SYSTEM



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