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Home/ Staff A–Z/ Pranjali Swapnil Thakre
Pranjali Swapnil Thakre
Teaching

Pranjali Swapnil Thakre

Assistant Professor

Computer Science EC Campus pranjali.st@pes.edu +91 80 6618 6610
1
Research Areas
5
Publications
1
Courses Taught
2
Qualifications
3
Roles Held
9
Achievements

About

Pursuing PhD from Mukesh Patel School of technology Narses Monjee Institute (NMIMS) Deemed to be University Mumbai.
Research Fellow at St John's Hospital Bengaluru

Research Areas

1
Research Interest
  • Artificial Intelligence, Machine Learning, Deep Learning, Computational Neuroscience

Publications

5
Conferences
  • Parmar, H., Shekokar, N., Thakre, P. (2020). A Novel Design for Voice-Enabled Home Automation and Personalized Recommendation System. In: Vasudevan, H., Michalas, A., Shekokar, N., Narvekar, M. (eds) Advanced Computing Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3242-9_65
Journals
  • Kristal Joanne D’souza, Ann Kurian, Andre Aditya Roy, Arshan Lawrence Rodrigues, Pranjali Thakre "Speech Emotion Recognition Through Federated Learning for Quality Assurance in Call Centers" International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN Volume-12,Issue-2 ( Feb, 2024 ) IJACEN-IRAJ-DOIONLINE-20546
  • A. Bhatt, V. Dave, Y. Panchamia and P. Thakre, "Analyzing behavioral attributes of drivers and implementing safe driving model," 2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Vienna, Austria, 2017, pp. 228-232, doi: 10.1109/ICVES.2017.7991930.
Others
  • 2nd National Conference on Information and Communication Technology (NCICT) 2011 Proceedings published in International Journal of Computer Applications® (IJCA) "Design Approach of Projector Interface Device using ARM" Pranjali Khiratkar & Prof. P.P.Rane
  • A. Bhatt, V. Dave, Y. Panchamia and P. Thakre, "Analyzing behavioral attributes of drivers and implementing safe driving model," 2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Vienna, Austria, 2017, pp. 228-232, IEEE Digital Xplorer doi: 10.1109/ICVES.2017.7991930.

Teaching

1
Python, Reinforcement Learning

Education

2
  • M.E. Embedded System & Computing
    Nagpur University
    2012
  • B.E. Computer Technology
    Nagpur University
    2010

Experience

3
  • Assistant Professor (Approved by UGC)
    South Indian Education Society Graduate School of Technology, Navi Mumbai
    2017 – 2021
  • Assistant Professor (Approved by UGC)
    Dwarkadas J. Sanghvi College of Engineering, Mumbai
    2013 – 2017
  • Lecturer
    Rajiv Gandhi College of Engineering (formerly known as N.Y.S.S.) Nagpur
    2011 – 2012

Achievements

9
  • Elite Certification in “Introduction to Machine Learning” NPTEL IIT Madras in May2023.
  • Elite Certification in “Deep Learning ” NPTEL IIT Roopar in May2023.
  • Coursera Specialization Certificate in “AI for Medicine” which consists of three courses “AI for Medical Diagnosis”, “AI for Medical Prognosis” and “AI for Medical Treatment” in July 21.
  • Certification FDP on "Artificial Intelligence and Machine Learning " by Finland lab by IIT Roorkee from 28/5/20 to 6/6/20.
  • Elite certificate in "Joy of computing using python" NPTEL in March 2019.
  • Completed "Pedagogy for Online and Blended Teaching-Learning Process(FDP 201X)" " by IIT Bombay from 3 August 2017 to 12 October 2017.
  • Certification in “Embedded systems” from UTL Tech company group Bangalore from Aug 2008 to Jan 2009.

Campus

EC Campus