Back to Faculty Directory

Faculty

Ms. Jyoti Ganesh Wadmare

ASSISTANT PROFESSOR at K J Somaiya Institute of Technology

Faculty
  • Department:
    COMPUTER
  • Institute:
    K J Somaiya Institute of Technology
  • Location:
    Sion - Mumbai
  • Email Address:

    jyoti@somaiya.edu

  • Contact Details:

    Landline No. : 24061331

    Extension No. : 331

  • Office Address :

    #302, Third Floor, Computer Engineering Department

  • Timings For Visitors:

    Mon-Fri- 10.00 Am to 4.00 Pm

  • Curriculum Vitae
Curriculum Vitae

Ms. Jyoti Wadmare is currently working as an Assistant Professor in the Computer Engineering Department at K. J. Somaiya Institute of Engineering & Information Technology, Sion, Mumbai, Maharashtra. 

As a teacher, she values learning, dedication, sincerity, and punctuality. She always tries to improve the performance of students by motivating them.

She is currently pursuing a Ph.D. in Computer Engineering from the University of Mumbai. She has fourteen years of teaching experience and has presented two national papers and ten international Journals. 

She was appreciated twice by the college for teaching performance and for good performance in M.E. (Computer). She has participated in several short-term training programs, workshops, and faculty development programs, national and international conferences.

She was appreciated by NPTEL for her instrumental role as SPOC since 2016.

According to her, students should have to study the basic concepts of all the subjects and ability and willingness of updating knowledge with new research and technology. 

 

 

M.E (Computer),Mumbai University,2013

    Academic
  • K.J.S.I.E.I.T, ASSISTANT PROFESSOR, March 2007 - Present
    • Non Academic
  • DATA STRUCTURE AND ALOGRITHMS
  • WEB TECHNOLOGIES LABORATORY
  • COMPUTER GRAPHICS LAB
  • MICROPROCESSOR LAB
  • HUMAN MACHINE INTERACTION
  • HUMAN MACHINE INTERACTION LABORATORY
  • Computer Vision
  • Deep Learning

    No Information Available

    No Information Available

  • Awarded AA grade for instrumental role as a SPOC by NPTEL for July-October 2016 course run.
  • Awarded AA grade by NPTEL for an instrumental role as a SPOC(Jan-June 2017)
  • Awarded A grade by NPTEL for an instrumental role as a SPOC(July-Dec 2017)
  • Awarded as Active SPOC by NPTEL for (Jan-June 2018)
  • Awarded as Active SPOC by NPTEL for (July- october 2019)
  • Awarded as Active SPOC by NPTEL for (Jan- December 2021)
  • Excellent performance in class room teaching and in M.E.(computer) in 2011
  • Distinguished contribution for the teaching learning process for the subject Network Programming Laboratory(sem-VI) academic year 2015-16
  • Appreciated by IIT, Bombay, and college for successful conduction of “NPTEL Awareness Workshop' on 8th January 2016
  • Appreciated by NPTEL for successful conduction of different online certification courses, as a result, KJSIEIT is declared as Active college by NPTEL in April 2016
  • Appreciated as TOP performing mentor for the NPTEL online course ” introduction to modern application development”
  • Appreciated for Teaching performance for the A.Y. 2018-19 by KSIEIT
  • Awarded as Active SPOC by NPTEL for (Jan- April 2020)

  • one week STTP on “Wireless Communication &Networking” from 13/7/09 to 17/7/09

  • one week STTP on “Networks and internet Security” from 23/11/09 to 27/11/09

  • one week STTP on  "Neural Network & Fuzzy System" from 4/1/10 to 8/1/10

  • Two-week STTP on “Research methodology for Phd Aspirants” from 5/5/14 to 16/5/14

  • one week FDP on “Big Data Technologies and Applications” from 4/5/2015 to 8/5/2015

  • one week training cum workshop on “NAAC-process Criteria and Audit” from 25/4/16 to 19/4/16

  • one week STTP on “R programming, Python and Perl” from 2/1/18 to 7/1/18

  • one week STTP on "Cyber Security and IoT Applications" from 2/7/18 to 7/7/18

  • FDP on ” Team Building Through The Power of Emotional intelligence” by Dr. Vipual Vyas on 4/01/2019

  • CEP course on “introduction to Machine Learning and Deep Learning-with applications to engineering systems” From 13/05/19 to 17/05/19

     

  • STTP on “ Artificial intelligence machine learning and deep Learning : Hands on” from 24/6/19 to 29/6/19

  • NPTE-FDP on “Teaching and Learning in Engg. (TALE)" from Feb-March 2019

  • one week ATAL Data Science Course from 18/11/2019- 22/11/2019

  • one week FDP on “Machine Learning for Image,Audio, Video Analysis and IoT” from 9/12/2019 to 16/12/2019

  • NPTEL -FDP online course on “Deep Learning” (12 week) from July-Oct 2019

  • NPTEL -FDP online course "introduction to Research" (8 week) from July-October 2019

  • FDP on “Research, Funding Projects and IPR” from 7/5/2020 to 10/5/2020

  • Two days FDP program on 2.0 from 13/5/2020 to 14/05/2020

  • 5 Day online STTP on "Recent Trends and Applications of Machine Learning and Deep Learning in IT" from 25/05/2020 t0 29/05/2020

  • Faculty Development Program on “Moodle Learning Management System” by IIT Spoken Tutorial from 26/05/2021 to 30/5/2021

  • one-week FDP on “Improving Teaching Learning Experience using Best Practices” from 15/6/2020 to 19/6/2020

  • FDP-Natural Language Processing on 10/09/2020

  • FDP-Image Recognition with tensor flow on 28/11/2020

  • AICTE Training and Learning (ATAL) Academy online FDP on "Data Sciences" from 14/12/2020 to 18/12/2020

  • STTP on “Leveraging Artificial intelligence and Data Analytics for Healthcare” from 14/12/2020 to 19/12/2020

  • STTP on “Strategies for sustaining Quality Culture in Autonomous Colleges” from 22/6/2021 to 25/6/2021

  • STTP on "Being an Autonomous institute: Roles, Responsibilities and Action Plan” from 14/5/2021 to 12/06/2021

     

     

  • Two weeks FDP on "innovation and Entrepreneurship" held during December 10, 2021 - January 10, 2022

No Information Available

No Information Available

No Information Available

No Information Available

No Information Available

Funded Project
Energy/ Waste Management and Audit

IoT based Maximum Solar Power Point Tracking System For Greenhouse Application

July 2016