Dr. Priya Dasarwar

Assistant Professor

  • Education   Ph. D. (Computer Science and Engineering) G H Raisoni University, M. E. (Computer Science and Engineering) GHRCE, B. E. (Computer Technology) KDKCE.
Dr. Priya Dasarwar

Dr. Priya Dasarwar (Maidamwar) has obtained her Ph.D. degree in Computer Science and Engineering from G H Raisoni University Amravati, Maharashtra, India in 2023. She obtained her M.E. degree in Computer Science and Engineering from GHRCE, Nagpur, India in 2013.

She has been engaged in research and teaching for more than 13 years. Currently, She is working as a Assistant Professor (Sr. Grade) in the Computer Science & Engineering Department of Symbiosis Institute of Technology, Nagpur, Symbiosis International (Deemed University)Pune, MH, India. She has presented more than 20 papers in International/National Journals/ Conferences. She is also the reviewer of several Conferences/Journals. Her research interests include Network Security, Machine Learning, Artificial Intelligence and Data Science.

Current Semester:

  • Data Structures (B. Tech CSE III)

  • Network Security (B. Tech CSE VII)

  • Data Structure Lab (B. Tech CSE III)

  • Network Security Lab(B. Tech CSE VII)

Specialization:

  • Network Security

  • Artificial Intelligence

  • Machine Learning

  • Internet of Things

Focus:

  • Data Science

  • Network Security

  • Deep Learning

Journal Publications

No. Information
1 Dasarwar, Priya. et al. “Real-Time Traffic Intensity Estimation and Management using Deep Learning Techniques.” 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON) (2024): 1-10.
2 Dasarwar, Priya. “The Role of Recent Datasets in Network Threat Classification and Intrusion Detection Systems.” International Journal of Electronics and Communication Engineering (2024): n. pag.
3 Maidamwar, Priya R. et al., “Implementation of Network Intrusion Detection System Using Artificial Intelligence: Survey”, (2022) Lecture Notes in Networks and Systems,  237 , pp. 185-198.
4 Maidamwar, Priya R. et al. “Ensemble Learning Approach for Classification of Network Intrusion Detection in IoT Environment.” International Journal of Computer Network and Information Security (2023): n. pag.

Conferences

No. Information
1 Maidamwar, Priya R. et al., “BTFCNN: Design of a brain tumor classification model using fused convolutional neural networks.” 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) (2022): 1-6.
2 Maidamwar, Priya R. et al., “An Empirical Analysis of Machine Learning Techniques for Brain Tumor Detection.” 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (2022): 405-410.
3 Maidamwar, Priya et al. “Blockchain Applications, Challenges, and Opportunities: A Survey of a Decade of Research and Future Outlook.” 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (2021): 1-5.
4 Maidamwar, Priya et al.,“Dynamic Grouping of Players and Analysis for Regional Tournaments.” 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023): 1451-1456.
5 Maidamwar, Priya et al.“A Critical Analysis of The Methods Used To Classify Medical Data.” 2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP) (2023): 1-6.
6 Maidamwar, Priya et al.,“Artificial Intelligence Based Heatwave Intensity Prediction Model.” 2023 International Conference on IoT, Communication and Automation Technology (ICICAT) (2023): 1-5.
7 Maidamwar, Priya et al.,“Prediction of Global Sea Water Level using Linear Regression and Gradient Descent.” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023): 1-5.
8 Maidamwar, Priya et al., “Cardiac Patient Data Classification Using Ensemble Machine Learning Technique.” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023): 1-6
9 Maidamwar, Priya et al. “An Empirical Review of Security Models Used for Issuing Tamper Proof Certificates for Authentic Credentials.” 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) (2024): 486-492.
10 Maidamwar, Priya et al.,“Implementation of Deep Learning Method for Forgery Detection on Social Media.” 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) (2024): 1579-1583.
11 Maidamwar, Priya et al.,“Integrating Blockchain and Multi-Factor Authentication for Enhanced Cloud Security in Certificate Verification Systems.” 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT) (2024): 1-7
  1. Authors: Priya R. Maidamwar, Mahip M. Bartere, Prasad P. Lokulwar

    Chapter Name: “Intrusion Detection Systems in IoT: Techniques, Datasets and Challenges”

    Book Title: Computing Technologies and Applications: Paving path towards Society 5.0

    eBook ISBN: 9781003166702 | DOI: https://doi.org/10.1201/9781003166702

    Edition: Edition: 1st Edition | Published Date: 01.11.21

    Publisher: CRC Press, Taylor & Francis Group, 2021. (SCOPUS & Web of Science)

Patents

Sr. No. Inventor & Applicant Patent Title Patent File Number Filed Date Published Date

1

Priya Maidamwar et. al.

Design of Intrusion Detection System Architecture for Internet of Things using Machine Learning

202321025101

01/04/2023

Published

2

Priya Maidamwar et. al.

Design and Development of Artificial Intelligence Based Heatwave Intensity Prediction Model in India

202321022486

31/3/2023

Published

3

Priya Maidamwar et. al.

A Real Time Monitoring System for Climate Change

202421011544

31/3/2024

Filed

  • Appointed as Subject Expert in the Board of Studies of the Department of Data Science, IoT and Cyber Security (DIC).

  • Delivered an expert session on “Tableau - A Hands on Practice” in One Week Online Faculty Development Program on “Advanced AI Tools in Data Visualization and Analysis” from 18th Dec to 23rd Dec 2023.

  • Delivered an expert lecture on “ Hands on Tableau Data Visualization” in One Week Online Faculty Development Program on “Emerging Trends in Machine Learning, Deep Learning & Data Science” from 5th Feb to 10th Feb 2024.

  • Delivered a guest lecture on “Network layer Research Areas” for students of Information Technology Department on 3rd October 2020.

  • Delivered an expert talk on “Moodle Data Analytics” in One Week STTP on "Effective Teaching and Learning Through Moodle" from 3rd to 8th June 2019.

  • Delivered an expert talk on “Network Simulator 2” in One Week STTP on "Interdisciplinary Approach to Various Applications in Lab view" from 25th to 29th May 2015.