Faculty Profile
Home | PROF. (Dr.) VAISHALI SIDDHARTH JABADE

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PROF. (Dr.) VAISHALI SIDDHARTH JABADE

Designation:

Assistant Professor

Department:

Electronics & Telecommunication Engineering

Email :

vaishali.jabade@vit.edu

Phone :

9881145612

Educational Qualification :

University Degree Year
Solapur University Phd 2017
Pune University ME 2008
Shivaji University BE 1993


Date of Joining : 04/07/1999


Experience : 25 year:9 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 VIT, Pune - 27-Apr-2022 25

Professional Contribution :

  1. TPO Co-ordinator

  2. Department Student Activities

  3. IEEE Branch Counselor

  4. BOS Member

  5. Internship

  6. NBA Critera Co-ordinator

  7. Branch Counsellor IEEE VIT Student Branch

  8. BOS Member

  9. Technical Activities

  10. Training and Placement Office, VIT, Pune


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Emerging Technological Trends in Industry One Week Faculty Development Program on''Emerging Technological Trends in Industry'' from 11 - 15 March, 2024 FDP organizing member 11-Mar-2024 15-Mar-2024
2 Building Advanced Data Analytics Applications with Cloud Next Generation Employability Program FDP Participated 30-Oct-2023 05-Nov-2023
3 VLSI to System Design:Silicon to End Application Approach Learn on ARM FDP Participated 31-Jul-2023 06-Aug-2023

International Journal:

  1. Pose Analyser A Survey on Human Pose Estimation ,SN Computer Science,123
  2. Data Mining Tools and Techniques ,Gradiva,122
  3. Data Visualization Software using Java ,Gradiva,122
  4. Gesture Verbaliser : Smart Glove ,International Journal of Innovative Research in Computer and Communication Engineering,123
  5. Blockchain based Application for Fake Product Detection ,IJSREM,123

National Conference:

  1. Customer Segmentation for Smooth Shopping Experience ,IEEE 4th INCET 2023,123

International Conference:

  1. IEEE DELCON ,IEEEDELCON ,122
  2. SPRINGER ICACDS ,SPRINGER ICACDS,122
  3. Patient Monitoring System ,2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon),122
  4. AUTOMATIC BILLING TROLLEY ,ICNWC ,123
  5. AUTOMATIC BILLING TROLLEY ,ICNWC ,123
  6. Exploring the Landscape of Mobile Operating Systems A Comprehensive Survey ,NANOELECTRONICS, MACHINE LEARNING, INTERNET OF THINGS ,123
  7. Assistive Path Control System for Blind and Deaf People with Visual and Depth Perception Challenge ,ICCNet-2023,123
  8. Product Review Assistance Based on Feature Sentiment Analysis Using NLP ,INCOFT 2023,123
  9. Image Talk: Multimodal Image Caption Generation with Voice ,INCOFT-2023,123
  10. Robust Face Detection and Identification using HOG based features and Machine Learning ,INCOFT-2023,123
  11. Cirrhosis Disease Prediction Using Machine Learning ,ICACCTech,123
  12. Watershed Catchment Analysis ,International Conference on Research in Science, Engineering and Technology,123
  13. Human Activity Recognition Using Hybrid Feature Extraction and Machine Learning ,IEEE 1st International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics-AIKIIE 2023,123
  14. Mobility Plus: Voice Controlled Wheel Chair With Health Monitoring System and Oxygen Cylinder Integration ,7th International Conference on Inventive Technologies (ICICT 2024),124
  15. “Smart Trashbin - Dry and Wet Waste Segregation System” ,Advances in Modern Technologies of Multidisciplinary Research in Engineering Field (AIMTMREF - 2023),123
  16. Stock Market Analyzer using Technical Fundamental and Sentiment Analysis ,International Journal of Research and Analytical Reviews Re,122
  17. Analyzing Healthcare and Demographic Data for Medical Professionals ,International Journal of Analytical Researc h and REviews,121
  18. Comparative Study and Review on Cloud ServicesProvided by Amazon Googl and Microsoftof ,Gradiva,122
  19. HealthOrzoYour Health Matters ,International Research Journal of Engineering and Technology,122


Patents :

  1. A Brain Computer Interface System and Method to Investigate an Effect of a Targeted Mind Concentrati
  2. A System and Method to Detect Intellectual Development Disorder using Electroencephalography
  3. A Brain Computer Interface System and Method to Investigate an Effect of a Targeted Mind Concentration



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