NAME: Mrs. Gauri N. Thite
DESIGNATION :  Assistant Professor
QUALIFICATION : M.E. (Computer Engineering)

  • Ph. D. (Pursuing), Ajeenkya D Y Patil university, Pune
  • M.E. (Computer Engineering), Ajeenkya D Y Patil School of Engineering, Lohegaon, Pune.
  • B.E (Computer Engineering), MIT Academy of Engineering, Alandi, Pune

OVERVIEW OF PROFILE :

Mrs. Gauri N. Thite is Assistant Professor in the School of Computer Engineering (Software Engineering), MIT Academy of Engineering. She received B.E in Computer Engineering in 2016, from MIT Academy of Engineering, Alandi, Pune. M. E. in Computer Engineering in 2020 from Ajeenkya D Y Patil School of Engineering, SPPU, and pursuing PhD from Ajeenkya D Y Patil university, Pune.

FORE FRONT AREA OF RESEARCH :Computer Security, AI, ML
EMAIL ID :   gauri.thite@mitaoe.ac.in
CONTACT : 020-30253500, EXT-
EXPERIENCE : Teaching : 5.6 Years


PROFESSIONAL MEMBERSHIP:

  • Indian Society for Technical Education (ISTE)

PORTFOLIOS HANDLED

  • Unit Test Coordinator
  • NAAC Criteria- I Member
  • Timetable Coordinator
  • Department NPTEL Coordinator
  • Seminar and Technical Communication (STC) Coordinator
  • Project Coordinator and Guide

PUBLICATIONS

NATIONAL/ INTERNATIONAL-CONFERENCE/ JOURNAL PAPER

  • Intrusion Detection using Soft Computing Approaches: an Overview”, International Journal of Innovative Research in Science, Engineering and technology, vol. 9, Issue 3, March 2020
  • “Intrusion Detection System and Vulnerability Identification using Machine Learning Algorithms”, International Journal of Innovative Research in Computer and Communication Engineering,Vol. 8, Issue 6, June 2020.
  • “A Prediction Model for Apple Leaf Disease Detection Using Artificial Intelligence”, International Journal of Advance Study and Research Work IJASRW, 2022.
  • “Guarding the Internet of Things : Federated Deep Learning’s Role in Cyber Security”, International Conference Innovation 2023 in association with International Journal of Scientific Research in Science, Engineering and Technology, IJSRSET, page no. 215-223.

WORKSHOP/ STTP / FDP ATTENDED:

  • National Level FDP on Generative AI, GH Raisoni, (August 2025)
  • FDP on AI in Cybersecurity 5.0: Trend Techniques & Threats, MITAOE (July 2025)
  • NEP 2020 Orientation under MM-TTP, MMTTC (Mar 2024)
  • ISTE FDP on TechHorizons: Cutting-Edge Technologies, ADYPU (Nov 2024)
  • FDP on Next-Gen AI: ML, DL & Generative Models, MMIT Pune (Jan 2025)
  • FDP on Data Science Applications using Python, ICEM Pune (Mar 2024)
  • ISTE FDP on Power BI Data Visualization, ADYPU (Nov 2023)
  • International FDP on Data Science using ML, PREC & ExcelR (Jan 2023)
  • FDP on Deep Learning, ADYPU (Jan 2023)
  • FDP on Amazon Web Services, DPCOE & AICTE (Aug 2022)
  • IEEE-ASPP Orientation Program (Feb 2023)
  • National IP Awareness Program by IPO India (Aug 2022)