Faculty Profile
Home | PROF. (DR.) SHILPA YOGESH SONDKAR

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PROF. (DR.) SHILPA YOGESH SONDKAR

Designation:

Professor

Department:

Instrumentation Engineering

Email :

shilpa.sondkar@vit.edu

Phone :

9850617994

Educational Qualification :

University Degree Year
Savitribai Phule Pune University Phd 2015
Savitribai Phule Pune University ME 2002
Savitribai Phule Pune University BE 2001


Date of Joining : 05/07/2002


Experience : 19 year:9 month


Professional Members :

  • IEEE Membership
  • ISA

  • Experience :

    Sr. No Organisation Designation From Date To Date Years of Experience
    1 Vishwakarma Institute of Technology Pune Lecturer 06-Jul-2002 27-Apr-2022 19

    Professional Contribution :

    1. Instrumentation Engineering Department

    2. Head of Department, Instrumentation Engineering


    Invited Talks :

    Sr. No Name Description Type Role From Date To Date
    1 Recent Trends in Signal and Image Processing One week FDP - Recent Trends in Signal and Image Processing FDP Participated 18-Dec-2023 24-Mar-2024
    2 Explainable AI in Automated Driving: A User-Centered Interaction Approach for explicit understanding of Users, Tasks and Environments One week - AICTE Training And Learning (ATAL) Academy Faculty DevelopmentProgram FDP Participated 20-Nov-2023 26-Nov-2023

    International Journal:

    1. Predictive Analysis of Adverse Drug effects using Machine Learning ,IJRASET,123

    International Conference:

    1. An Approach for Clustering and Classification of Alumni Employment Information ,2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT),122
    2. Predictions of Energy Consumption of Buildings' Life Cycle to Mitigate the Effects of Climate Change with a Focus on Energy Efficiency ,2022 IEEE Pune Section International Conference (PuneCon),123
    3. A review of PID control, tuning methods and applications ,International Journal of Dynamics and Control ,120
    4. Hybrid Gradient Boost based Heart Failure Prediction System ,2023 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India,123

    Book Chapter:

    1. A Review of predictive maintenance of bearing Failures in rotary machines by predictive analytics using machine-learning techniques ,Scopus indexed Springer book titled “Integrating AI, IoT, Big Data and Cloud Computing for Industry 4.0”,121
    2. A Review of Predictive Maintenance of Bearing Failures in Rotary Machines by Predictive Analytics Using Machine-Learning Techniques ,AI, IoT, Big Data and Cloud Computing for Industry 4.0. Signals and Communication Technology,123
    3. Stacked Boxes—Detection & Segmentation ,Information Systems for Intelligent Systems. ISBM 2023. Smart Innovation, Systems and Technologies,124

    Lecture Notes:

    1. Comparison of Machine Learning Algorithms for Bearing Failures Classification and Prediction ,ICAECT 2021,122


    Research Grant / Funded Projects :

    1. Micro meter Measurement Facility for Evaluation of Thermal Expansion Coefficient and Moisture Expansion Coefficient for Satellite Structures New
    2. Development of a low cost and portable system for measurement of Lithium ion battery capacity, efficiency and estimation of remaining life of battery
    3. Generic Multi-Channel Front-End and Digital Proportional-Integral-Derivative (PID) Controller with actuator interface ASIC for Temperature Control

    Patents :

    1. A SELF-DEFENSE AND LOCATION TRACKING DEVICE FOR WOMAN SAFETY new



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