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About Faculty

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Prof. Monika Verma

Assistant Professor

monika.verma@bitdurg.ac.in

Dedicated, enthusiastic teacher with proven ability to establish a positive classroom environment and provide strong commitment to students developments and learning experience toward a framework of success.

Prof. Monika Verma

Employee ID 10277
Date of Joining 20-12-2012
Nature of Association Regular
Department Computer Science and Engineering
Designation Assistant Professor
Educational Qualification Ph.D(Pursuing),M.Tech. (Computer Science & Enginerring), BE(Computer Science & Enginerring),
E-Mail monika.verma@bitdurg.ac.in
Contact Number Extension No.: 513, Global Directory No.: 8214
Areas of Interest

Machine Learning and Data Mining, Web Technology, Operating System, Big data and Hadoop

Publications
    1. Future Generation of Recommender systems”, in Research Journal of Computer and Information Technology Sciences ISSN 2320 – 6527 Vol. 5(4), 9-12, June (2017)
    2. A study on text auto completion for easing search of information”, in Research Journal of Computer and Information Technology Sciences ,ISSN 2320 – 6527,Vol. 5(5), 12-14, July (2017)
    3. “An Efficient Algorithm for Frequent Pattern Mining using Web Analysis Approach”, (IJCSET) ISSN:2231-0711 July 2012 Vol.2 Issue7,Page 1327-1332
    4. Extraction of Pattern Sequence and Geographical Location of User using Web Analysis Approach an Application of Web Usage Mining”, (IJCSET) ISSN:2231-0711 Feb. 2012 Vol. 2 Issue2, Page 2,877-879
    5. "Suspicious URL detection using dynamic learning model with machine learning" with Sanjana Tiwari and Ashok Behra in International journal of reseach in applied science & engg. Technology July 2019 Vol 7 Issue 7 Page 1315
    6. "Suspicious URL detection with machine learning" with Sanjana Tiwari and Ashok Behra in International Journal for research trends & innovation 2019 Vol 4 Issue 12 Page 20
    7. "An analytical insight to hybrid recommender system" with Dr. Arpana Rawal in International Journal of advanced in management technology & Engg. Sciences march 2018 vol 8 issue 3 page 331
    8. Verma, M., & Rawal, A. (2021). Feasibility Study of Hybridization Schemes in Recommender Systems. Design Engineering, 483-498.
    9. An Approach towards a Bilingual Keyboard Application. Recent Trends in Computer Graphics and Multimedia Technology, Volume 4 Issue, DOI: https://doi.org/10.5281/zenodo.6634977
    10. Smart Health Monitoring System Using Internet of Things in India. Journal of Information Technology and Sciences, Volume-8, Issue-2
    11. Detecting Different Thoracic Disease Using CNN-Model. IEEE Explore 2022

    International Conference 

    1. “An Enhanced Item-based Collaborative Filtering Approach for Book Recommender System Design” , ECS Transactions. Apr(2022)
Other Info.

Other Responsibilities:

    From

    To

    Administrative Position

    Major responsibility

    2019

    2020

    Training & placement Incharge

     

    2020

    2022

    Profession Activity Incharge

     

    2017

    2018

    Web Site Committee member

     

    2022

    Present

    Student Counsellor, Computer Society of India

     



Felowship/Awards/Other recognitions:

    • CSI-Young scientist “Special Mention” Award 2017 (Regional Round)
    • Contributed as Teaching Assistant in ISTE workshop by ICT(MHRD)
    • Gold Medalist in Post Graduation (MTech)
    • Secured Position in the merit list of University(CSVTU) in Bachelor of Engineering.