Dr. Supriya Sabale


NAME : Dr. Supriya Sabale
DESIGNATION : Assistant Professor
QUALIFICATION : PhD (Computer Engineering)

  • Ph. D. (Computer Engineering), D Y Patil University,Pune,2024
  • M.E. (Computer Engineering), SIT Lonavala,SPPU,2014
  • B.E (Computer Engineering), BVPCOEW,Pune,2009

OVERVIEW OF PROFILE :

Dr.Supriya Sabale is Assistant Professor in the School of Computer Engineering and Technology, MIT Academy of Engineering. She received B.E in Computer Engineering with distinction in 2009 from BVPCOEW,Pune, completed M.E. in Computer Engineering in 2014 from Sinhgad Institute of Technology, Lonavala affiliated to SPPU, and Completed PhD in Computer Engineering from D Y Patil University, Pune .

FORE FRONT AREA OF RESEARCH : Machine Learning, Deep Learning, Artificial Intelligence, Wireless Sensor Network.
EMAIL ID : supriya.sabale@mitaoe.ac.in
CONTACT NO : 02030253500
EXPERIENCE : Teaching: 15 Years


NPTEL Certification completed on

  • Database Management system
  • Introduction to Research
  • Cloud Computing and Distributed System

ACADEMIC ROLES & RESPONSIBILITY

  • Syllabus Design
  • Team Branding Coordinator

PROFESSIONAL MEMBERSHIP

  • International Association of Engineers

TECHNICAL PUBLICATION (JOURNAL)

Sr. No Name of Journal/Conference Paper Title Published on Date
1 IARJSE VANET Based Communication for Emergency Vehicles ISSN 2277–9043
Volume 2, Issue 2, July 2013
2 IARJSE Smart Energy Management System Using WSN Volume 2, Page no. 572–576
(July 2013), ISSN 2277–9043
3 IJETT Emerging Vehicle Communication by VANET Volume 2 Issue 4, 403–407
(September 2016), ISSN 2350–0808
4 IJETT A Two Fold Approach to Store and Share Secure Data for Groups in Cloud IJETTISSN: 2231–5381
Volume 21 | Number 1 | March 2015
5 IJCA RFID Based Signaling System IJCA Vol. 1, No. 3
ISSN: 0975–8887
6 IJESAM Literature Review on Live Uber Location Tracker using IoT/WSN/AOA Zone Approach Warning System Volume 2, Issue 8
ISSN: 2395–5226 | June 2022
7 International Journal of Advance Research in Science and Engineering Online travel pass portal for school/college students Volume 8, Issue 3–2022
Paper ID: 17106
ISSN(Online): 2395–4396
8 IJARSE Recent Research Status on Disease Identification in Plant Volume 22, Issue 1, July 2023
ISSN: 2319–4319
9 Journal of Emerging Technologies and Innovative Research Deep Learning Regarding Visually Diagnosed Image Based Modified Segmentation Technique ISSN: 2349–5162
Vol. 9, No. 5 (2023) May 2023
10 International Journal of Image and Graphics Tomato Plant Disease Identification via Deep Learning Technique ISSN (Print): 0219–4678 | ISSN (Online): 1793–6756
Computer Press Accepted, Published 29 June 2024