ADBU
Assam Don Bosco University— Faculty Profile
Photo

Rupesh Mandal

Assistant Professor (stage Ii)
Computer Science and Engineering Azara Since 2017
About Awards Publications Contact

About

Qualification:

PhD (Pursing),
M.Tech,
B.Tech

Teaching Experience: 3 Years

Area of Interest

IoT, Machine Learning, Data Mining Data warehousing

Industry EXPERIENCE

5 Years

Worked as Information Technology Analyst in Tata Consultancy Services Ltd.

Awards & Recognition

  1. Award — ON THE SPOT AWARD
    11 Nov 2016 • TATA CONSULTANCY SERVICES LTD
    IN APPRECIATION OF OUTSTANDING CONTRIBUTION
    TO THE ORGANISATION
  2. Award — service and commitment award
    13 Jun 2016 • TATA CONSULTANCY SERVICES LTD
    in recognition of 3 years of dedicated service
  3. Award — on The spot award
    11 Oct 2013 • tata consultancy services ltd
    In appreciation of outstanding contribution
    to the organisation
  4. Recognition — UGC NET
    07 Jul 2019 • UGC
    Cleared UGC NET for assistant professor

Research & Publications

    Conference

  1. VIKAS SHARMA, NUPUR CHOUDHURY, RUPESH MANDAL, DIBYAJYOTI CHUTIA, UDAYAN BARUAH AND RITU ANIL KUMAR, "A STUDY ON TRADITIONAL CLASSIFIERS FOR REMOTE SENSING DATA CLASSIFICATION: AN EXPERIMENTAL DEMONSTRATION", INDIACOM 2018, INTERNATIONAL CONFERENCE ON “COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, vol. -, pp. 6, 2019.
    Indexing: Scopus, • IF: - • ISSN: 0973-7529 • ISBN: 978-93-80544-28-1
  2. Thingujam Joseph, Rupesh Mandal, "Centralized Controlled based Shadow Robot Navigation System", INDIACOM 2018, INTERNATIONAL CONFERENCE ON “COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, vol. -, pp. 4, 2019.
    Indexing: Scopus, • IF: - • ISSN: 0973-7529 • ISBN: 978-93-80544-28-1
  3. Rupesh Mandal, Mousumi Gupta, Chinmoy Kar, "Automated ROI Detection for Histological Image using Fuzzy C-means and K-means algorithm", 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), vol. -, pp. 6, 2016.
    Indexing: Scopus, • IF: - • ISBN: 978-1-4673-9939-5
  4. Nupur Choudhury ; Rupesh Mandal ; Suman Kalyan Kar, "Bioinspired robot path planning using PointBug algorithm", 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), vol. -, pp. 6, 2016.
    Indexing: Scopus, • IF: - • ISBN: 978-1-4673-9939-5
  5. Rupesh Mandal, Nupur Choudhury, "Automatic Video surveillance for theft detection in ATM machines: An enhanced approach", INDIACom, 3rd International Conference on “Computing for Sustainable Global Development, IEEE, vol. -, pp. 6, 2016.
    Indexing: Scopus, • IF: - • ISBN: 978-9-3805-4421-2
  6. Nupur Choudhury, Rupesh Mandal, "Human Robot Interaction using Android and PointBug Algorithm", INDIACom, 3rd International Conference on “Computing for Sustainable Global Development, IEEE, vol. -, pp. 7, 2016.
    Indexing: Scopus, • IF: - • ISBN: 978-9-3805-4421-2
  7. NUPUR CHOUDHURY, RUPESH MANDAL, SMRITI PRIYA MEDHI, "A STUDY ON FEATURE EXTRACTION FOR FACE RECOGNITION USING SELF ORGANIZING MAPS", THE NATIONAL CONFERENCE ON EMERGING GLOBAL TRENDS IN ENGINEERING AND TECHNOLOGY-2016 (EGTET 2016), vol. 4, pp. 6, 2016.
    Indexing: Google Scholar, • IF: - • ISSN: 2348-7305
  8. Rupesh Mandal, Mousumi Gupta, "Automated histopathological image analysis: a review on ROI extraction", International Conference on Computing & Communication (ICCC-2016), vol. 17, pp. 7, 2015.
    Indexing: Google Scholar, • IF: - • ISSN: 2278-0661
  9. NUPUR CHOUDHURY, RUPESH MANDAL, "A SURVEY ON ROBOTIC VEHICLES IN AUTONOMOUS NAVIGATION", INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND ENGINEERING, vol. 3, pp. 6, 2015.
    Indexing: Google Scholar, • IF: - • ISSN: 2347-2693
  10. Journal

  11. Nupur Choudhury, Rupesh Mandal, "Survey on Supervised Classification using Self Organising Maps", International Journal of Computer Science and Information Technologies, vol. 6, pp. 5, 2015.
    Indexing: Google Scholar, • IF: - • ISSN: 0975-9646

Contact

Email
rupesh.mandal@dbuniversity.ac.in
Office
Room No. 321, 3rd Floor, SOT, Azara
Institution
Assam Don Bosco University