Dr Monika Y. Dangore

%AM, %02 %189 %2024 %03:%Jul

Dr Monika Y. Dangore

Written by
Rate this item
(1 Vote)

Name

Dr Monika Dangore

Position

Associate Professor

Department

Computer Engineering

Email id

This email address is being protected from spambots. You need JavaScript enabled to view it.

Cell No

9545554530

Extension No

-

Qualifications 

PhD (CSE), ME (Computer Engineering), BE (Computer Technology)

Experience

17 Years

Research Areas

Adhoc Networks, Machine Learning

Publications

·         V D Talnikar, Monika Dangore, Anita Dapke, “Security & Privacy Preserving in Cloud Computing Using IoT”, International Conference on Emerging Techniques in Machine Learning, Data Science and IOT 2024 (Scopus indexed Springer Book Series)

·         Ms Monika Dangore, Dr. Hare Ram Sah, “A Generalized Approach for Detecting and Mitigating Manet Attacks”, 2023; Volume -12 , Special Issue-6, Page 46 – 62, European Chemical Bulletin, Scopus Indexed Journal ISSN: 2063-5346

·         Ms Monika Dangore, Dr. Hare Ram Sah, “A Modified AODV Protocol to Mitigate Combined Impact of Multiple Attacks in MANET”, Vol. 05, No. 4 (2023) 693-700, doi: 10.24874/PES05.04.011, Proceeding of Engineering Science, Scopus Indexed Journal E-ISSN 2683-4111

·         Komal Kalane, Shivam Ghorpade, Prof. Monika Dangore, " A Random Forest Regression Approach to Predict Flight Fare, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.321-324, May-June-2021.

·         Adesh Kolte, Prashant Chaudhari, Prof. Monika Dangore, " Survey on Aid Donation Tracking Using Blockchain, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 8, pp.122-125, November-December-2020.

·         Rachana Kumari, Deepak Yadav, Prof. Monika Dangore

An Automated System on Collision Alert for Vehicle Safety on Road”, International Journal of Scientific Research in Science, Engineering and Technology, DOI : https://doi.org/10.32628/IJSRSET2051023

·         Manvendra Kumar Singh, Ramendra Raj Singh, Prof Monika Dangore, “Smart Blind Stick for Obstacle Detection”, International Journal of Scientific Research in Science, Engineering and Technology, IJSRSET2051031 DOI : https://doi.org/10.32628/IJSRSET2051031

·         Shubham Gour, Yogesh Bhosle, Prof. Monika Dangore, " Survey on Botnet and Its Detection Techniques, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 8, pp.126-132, November-December-2020.

·         Komal Kalane, Shivam Ghorpade, Prof. Monika Dangore, " Flight Ticket Price Prediction Using Machine Learning, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 8, pp.260-264, November-December-2020

Conferences

·         Monika Dangore, Shabina Modi, Subhash Nalawade, “REVOLUTIONIZING SPORT EDUCATION WITH AI”, 15th ICCCNT 2024 (15th International IEEE Conference on Computing Communication and Networking Technologies), June 24 - 28, 2024, IIT - Mandi

·         Ujwala H. Wanaskar, Monika Dangore, Dipak Raut, “A Method for Re-identifying Subjects in Video Surveillance using Deep Neural Network Fusion”,15th International IEEE Conference on Computing Communication and Networking Technologies, June 24 - 28, 2024, IIT - Mandi

·         Dr Monika Dangore, Ashwini S R, Yogesh Mali, “Multi-class Investigation of Acute Lymphoblastic Leukemia using Optimized Deep Convolutional Neural Network on Blood Smear Images”, IEEE Conference 2024 MITADTSoCiCon- MIT Art, Design and Technology School of Computing International Conference

·         Anusha Vaidya, Dr Monika Dangore, Vishal Borate, “Deep fake detection for preventing Audio and Video frauds using Advanced Deep Learning Techniques”, 2024 IEEE Recent Advances in Intelligent Computational Systems – RAICS

·         Ms Monika Dangore, Prof S. S. Sambare, “Detecting and Overcoming Blackhole Attack In Aodv Protocol”, International IEEE Conference on Cloud & Ubiquitious Computing & Emerging Technologies (CUBE -2013), 15th – 16th Nov 2013, Pune, India  https://doi.org/10.1109/CUBE.2013.23

Workshops

·         Intro to Statistics & Descriptive Statistics, 20/01/2023,

University of Edinburgh, UK

·         Analysing Geospatial Data with R, 24/01/2023,

31/01/2023, University of Edinburgh, UK

·         Finding Patterns Across Data, 03/02/2023,

07/02/2023, University of Edinburgh, UK

·         Introduction to Machine Learning, 13/02/2023,20/02/2023, 27/02/2023, University of Edinburgh, UK

·         Introduction to Text Extraction, 20/11/2023, University of Edinburgh, UK

·         One Week Online Industrial Training / FDP on Machine Learning and AI, 12/12/2023 to 16/12/2323, Edulakes Solution in association with NSS-IIT Roorkee

·         One Week Online Industrial Training on Deep Learning, 25/12/2023 to 29/12/2023, Edulakes Solution in association with NSS-IIT Roorkee

·         One Week Online FDP on “Advancements in AI”,

04/03/2024 to 08/03/2024, VIIT, Pune

·         One Week Online STTP “Recent trends in Cyber Security and Cloud Computing”, 05/02/2024 to 10/02/2024, GHRCE, Nagpur

Reviewer

Reviewer for B P International Book Chapters

Professional Affiliations

IEEE Professional Membership (ID : 100060292)

Awards & Recognitions

·         Silver Elite NPTEL Certification with 84% in “Python for Data Science”, Jan-Feb 2024

·         Received an Award of “The Longest Serving Women Employee of the Institution” from DYPSOE in March 2019

h-index (Scopus)

1

RG Score (Research Gate)

 

ORCID

 

Industry Connect

In Process

Funded Projects

 

Responsibilities @MMIT

In Process

Additional Info

  • Designation: Associate Professor
  • Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Read 516 times Last modified on %AM, %26 %378 %2024 %08:%Aug