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Ms. Vidya Ravindra Sagvekar

ASSISTANT PROFESSOR at K J Somaiya Institute of Technology
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Ms. Vidya Ravindra Sagvekar Faculty
  • Department:
    Artificial Intelligence and Data Science
  • Institute:
    K J Somaiya Institute of Technology
  • Location:
    Sion - Mumbai
  • Email Address:

    vsagvekar@somaiya.edu

  • Contact Details:

    Landline No. : 022-240614343

    Extension No. : 343

  • Office Address :

    K.J.Somaiya Institute of Technology, Somaiya Ayurvihar,Near Everad Nagar,Eastern Express Highway,Sion,Mumbai 400022

  • Timings For Visitors:

    NA

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Introduction

Prof. Vidya Sagvekar has been serving as an Assistant Professor at K. J. Somaiya Institute of Engineering & Information Technology (KJSIEIT) since 2008, bringing with her over a decade of academic excellence and commitment to student development.

Born and brought up in Mumbai, she has pursued her entire academic journey in the city and nearby regions. She holds a Diploma in Industrial Electronics from Government Polytechnic, Bandra (2001), a Bachelor of Engineering from Pune University (2004), and a Master of Engineering in Electronics and Telecommunication from Mumbai University (2013). She is currently pursuing her Ph.D. at NMIMS University.

Her research interests lie at the intersection of Engineering Education, Medical Image Processing, and Deep Learning, with a strong focus on applying advanced computational techniques to real-world healthcare challenges.

Prof. Vidya has published and presented research papers at International , national-level Journal and conferences. Also, successfully guided numerous mini, minor, and major student projects, nurturing innovation and research aptitude among learners.

She teaches core and interdisciplinary subjects such as Operating Systems, Digital Logic and Computer Architecture, Data Structures, and the Internet of Everything. Beyond teaching, she has actively contributed to institutional development by serving on various academic and administrative committees and has also worked as Lab-In-Charge of the NLP Laboratory.

Passionate about mentoring and lifelong learning, Prof. Vidya enjoys reading, guiding students beyond the classroom, and engaging in recreational games, reflecting her belief in holistic education.

 

Education

Diploma in Industrial Electronics,Government Polytechnic,Mumbai,2001

B.E. Electronics,Pune University,2004

M.E. EXTC,Mumbai University,2013

Professional Experience

    Academic

  • K.J.Somaiya Institute of Engineering and Information Technology, Assistant Professor, July 2008 - Present

Courses/Subjects Teaching

  • MEMS Technology
  • Digital System Design
  • Neural Networks and Fuzzy Logic
  • Instrumentation System Design
  • Instrumentation System Design Lab
  • VLSI Design Laboratory
  • Digital Circuits and Design
  • Data Structures
  • Data Structures Lab
  • Operating System

Research Specialisation

  • Medical Image Processing
  • VLSI Technology & Embedded systems

Consultancy Expertise

    No Information Available

Consultancy Projects

    No Information Available

Achievements, Recognitions & Awards

  • Received Letter of Appreciation for subject Basic VLSI Design on dated July 2,2018.
  • Successfully completed the NPTEL course on-“Teaching and Learning in Engineering” with 69% Feb-March 2019
  • Letter of Appreciation for subject Basic VLSI Design on July 5,2017
  • Letter of Appreciation for subject Digital Circuit Design November 25,2017
  • Letter of Appreciation for obtaining outstanding result for MEMS (VIII) Subject on November 17,2016
  • Succcessfully Completed NPTEL Course on: "VLSI Design Verification and Test" July-Oct. 2016
  • Letter of Appreciation for subject Basic VLSI Design on April 28,2016
  • Successfully completed the NPTEL course on "Digital Image Processing" Jul-Oct 2019.
  • Appreciation for valuable contributions towards the project titled "Inventory Management System"
  • Appreciation for valuable contributions towards the project titled "Stationary Management System"
  • Letter of Appreciation for subject Digital Logic and Computer Architecture (DLCA) Sem III, Academic year 2023-24
  • Letter of Appreciation for subject Operating System (OS) Sem IV, Academic year 2023-24

MDP / FDP

  • Attended one week FDP on PYTHON organised by Universal College of Engineering,Mumbai in association with Spoken Tutorial,IIT Bombay, Duration : 1 week , 4th May to 8th May2020,Venue: Online

     

  • Attended FDP on “Machine Learning for Image, Audio, Video Analysis & IoT” Organized by Dept. of Electronics and Electronics and Telecommunication Engineering ,Duration : 1 week, Dec. 9-14, 2019, Venue: KJSIEIT

  • Successfully completed AICTE Training and Learning (ATAL) Academy Online FDP on "Machine Learning and Pattern Recognition" from 2021-1-18 to 2021-1-22 at MET's Institute of Engineering

  • Successfully completed three days Faculty Development Program on “Deep Learning Techniques for Image, Audio , Video Processing” held during January 21-23, 2021.

  • Participated in the 5 day Online Faculty Development Programme Organized by K.J Somaiya Institute of Engineering and Information Technology, Sion and RUSA, Maharashtra on “Strategies for sustaining Quality Culture in Autonomous Colleges” from 21st June to 25th June, 2021.

  • Attended 5 Days online STTP on MATLAB-based teaching and learning in Mathematics, Science, and Engineering,18th to 22nd May 2020.

  • Attended online National level FDP on “Ethereum Powered DAPP Deployment in Block chain Technology” 27th May to 31 May 2020,organised by Father Agnel of College of Engineering.

  • Attended Online six days FDP “Research Perceptive in Medical Image Processing” held on 10th June to 15th June 2020 organized by Department of Biomedical Engineering and Department of Electronics and Communication Engineering,KIT,Coimbatore

  • Attended a Two weeks online Faculty development programme on “Natural Language Processing” jointly organized by the Electronics and ICT Academies at IIT Kanpur, IIT Roorkee, MNIT Jaipur, PDPM IIITDM Jabalpur and NIT Patna during February 7- 18, 2022.

Research Papers

Vidya Sagvekar.(2024).Hybrid hunter-prey ladybug beetle optimization enabled deep learning for diabetic retinopathy classification.Biomedical Signal Processing and Control,95(Part B):-.https://doi.org/10.1016/j.bspc.2024.106346
Vidya Sagvekar.(2023).SEGAN-BASED LESION SEGMENTATION AND OPTIMIZED RideNN FOR DIABETIC RETINOPATHY CLASSIFICATION.Biomedical Engineering: Applications, Basis and Communications,35(4):-.https://doi.org/10.4015/S1016237223500084
Vidya Sagvekar.(2020).Diabetic Retinopathy Monitoring Using Smartphone: A Review.International Journal of Engineering and Science Invention (IJESI),9(3):67-72.http://www.ijesi.org/papers/Vol(9)i3/Series-1/I0903016772.pdf
Vidya Sagvekar.(2013).Enhancement of Back off Algorithm in CSMA/CA.International Journal of Recent Technology and Engineering (IJRTE),2(5):102-107.
Vidya Sagvekar.(2013).Evaluation of Simple MAC in NS-2.International Journal of Electronics Communication and Computer Engineering,4(2):644-648.
Vidya Sagvekar.(2012).Speaker Identification Using MEL Frequency Cepstral Coefficients and Vector Quatization.International Journal of Electronics Communication and Computer Engineering,3(4):742-745.
Vidya Sagvekar.(2012).Speaker Recognition using VQ and DTW.IJCA Proceedings on International Conference on Advances in Communication and Computing Technologies 2012,ICACACT(3):18-20.
Vidya Sagvekar.(2012).Isolated Digit Recognition Using MFCC AND DTW.International Journal on Advanced Electrical and Electronics Engineering, (IJAEEE),1(1):59-64.

Proceedings

Vidya Sagvekar.MOODIFY: tailored, personal and multifaceted AI assistant for young adult mental health issues.6th International Conference on Advances in Science and Technology (ICAST),6th International Conference on Advances in Science and Technology (ICAST),December08-00,0000.
Vidya Sagvekar.E-Deadstock Management System for Educational Institutes.International Conference on Advances in Science & Technology (ICAST) 2021,Online,May07-07,2021.
Vidya Sagvekar.Review of Feature Extraction Techniques.International Conference on Advances in Science & Technology (ICAST) 2020,Online,April08-09,2020.

Books

No Information Available

Book chapters

No Information Available

IPR

No Information Available

Funded Project
VLSI Technology & Embedded systems

GPS based Pollution Detection and Control System for Environment

July 2016

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