Last Updated : 26th February 2024 GMT 21:16 PM

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Dr. M.S. Dawngliani

Dr. M.S. Dawngliani

Assistant Professor

Department of Computer Science

QUALIFICATIONS

  • Bachelor of Engineering (Computer Science & Engineering)
  • MSc (Computer Science)
  • PhD (Computer Science)
  • UGC-NET

SPECIALIZATIONS

  • GUI Programming
  • Microprocessors
  • Digital Computer Fundamentals

EXPERIENCES

  • Assistant Professor, Department of Computer Science, Government Zirtiri Residential Science College from 15th May 2009 to till date

CONTACTS

  • Email: msdawnglianiThis email address is being protected from spambots. You need JavaScript enabled to view it.
  • Phone : 0389-2306762 (Office)

Paper Published:

  1. Title: A Comparative Study between Data Mining Classification and Ensemble Techniques for Predicting Survivability of Breast Cancer Patients, Authors: Dawngliani M.S, Chandrasekaran N, Samuel Lalmuanawma, Published at the International Journal of Computer Science and Mobile Computing, ISSN 2320–088X, Vol. 8, Issue. 9, pg.01 – 10, September 2019
  2. Title: Development of a Model to Predict Breast Cancer Recurrence Using Decision Tree based Learning Algorithms, Authors: Dawngliani M S, Chandrasekaran N, Samuel Lalmuanawma, Published at THINK INDIA JOURNAL, ISSN:0971-1260, Vol-22-Issue-10-November-2019
  3. Title: Prediction of Breast Cancer Recurrence Using Ensemble Machine Learning Classifiers, Authors: Dawngliani M.S, Chandrasekaran N, Samuel Lalmuanawma and Thangkhanhau H, Published by Springer in the series “Advances in Intelligent Systems and Computing” (AISC). https://doi.org/10.1007/978-3-030-46828-6_20, ISBN: 978-3-030-46828-6
  4.  Title: Comparison of Decision Tree-based Learning Algorithms using Breast Cancer Data, Authors: Dawngliani M.S, Chandrasekaran N , Lalmawipuii R and Thangkhanhau H, Published in Lecture Notes on Data Engineering and Communications Technologies by Springer Publication. https://doi.org/10.1007/978-3-030-43192-1_96 , ISBN: 978-3-030-43191-4
  5.  Title: Breast Cancer Recurrence Prediction Model Using Voting Technique, Authors: Dawngliani M S, Chandrasekaran N, Lalmawipuii R and Thangkhanhau H, Published in EAI/Springer Innovations in Communication and Computing, ISSN: 2522-8595. https://doi.org/10.1007/978-3-030-49795-8_2

Paper Presented:

  1. Present a paper at the International Conference of Science, Engineering and Technology (ICSTE-19) on 19th October 2019. “Title: Development of a Model to Predict Breast Cancer Recurrence Using Decision Tree based Learning Algorithms”.
  2. Presented at 3rd International Conference on Security with Intelligent Computing and Big-data Services 2019, New Taipei City, Taiwan. “Title: Prediction of Breast Cancer Recurrence Using Ensemble Machine Learning Classifiers.” On 4th-5th December 2019
  3. Presented at 2nd International Conference on Computer Networks, Big Data and IoT(ICCBI 2019), Madurai, Tamil Nadu. “Title: Comparison of Decision Tree-based Learning Algorithms using Breast Cancer Data.” On 19th-20th December 2019
  1. Presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2020), Nepal “Title: Breast Cancer Recurrence Prediction Model Using Voting Technique.” on 23rd -24th January 2020

Workshop / Seminar / Conference attended:

  1. Orientation Course organized by JNU from 8.11.2010 to 3.12.2010
  2. Refresher Course organized by MZU from 18.8.2009 to 9.9.2009
  3. One day workshop on Information Security Education Awareness Organised by DOEACC
  4. One day training programme on faculty enrichment of Service matter Organised by IQAC
  5. One day Workshop on National E-Governance Plan Organised by ICT & NIC
  6. National Workshop on e-content development for higher education Organised by Christ University, Bangalore
  7. Seminar on Effective Teaching Strategy organized by IQAC, GZRSC
  8. Participate in HAC-O-MANIA workshop organized i3 indya Technology
  9. Participate in Innovative Teaching Method Seminar organized by IQAC, GZRSC
  10. Resource Person on Basic Computer Skills organized by IQAC, GZRSC
  11. Participate in panel discussion on Fostering Scientific Temper organized by IQAC, GZRSC
  12. Attend one day seminar on Choice based Credit system on 29th Jan 2016 by Seminar Organising Committee
  13. Research Methodologyduring 3rd August- 30th November 2015 byMartin Luther Christian University
  14. Sensitization Programme on NAAC Accreditation Process on16th Feb 2016by IQAC, RUSA, GZRSC
  15. Seminar on Network Security on 9-10th Aug 2016 bySeminar Organising Committee
  16. Seminar on Legal Awareness on 13th Oct 2016 by Seminar Organising Committee
  17. Seminar on Science and Technology for a sustainable future on 28th Feb 2018 by Innovation Club, GZRSC
  18. Participate in Awareness campaign on drug abuse, social media/cyber crime and human trafiking on 24th July 2018 by Research and Seminar Committee, GZRSC
  19. Climate Change, Beat Plastic Pollutionon 7th Feb 2019 by Mizoram Academy of Science
  20. One day workshop on NAAC Awareness on 25th Sept 2019 by IQAC, GZRSC
  21. One day workshop for best practices for college on 9th Aug 2019 byState project directorate of RUSA
  22. One day workshop on e-content developmenton 10th feb 2020 by IQAC, GZRSC
  23. Attend a national seminar on Artificial Intelligence and Cloud Computing on 28th May 2020 by Mizoram University.
  24. Attend a one-week FDP on Recent Trends and Innovation in Forensic during 25th-30th May 2020 by AISSMS Institute of Information Technology,
  25. Attend a one-week FDP on Artificial Intelligence by Brain O Vision and National Youth Council of India
  26. Organised a short-term course on Research Methodology during 12th-17th August 2020
  27. Attend International Workshop on Tectonic and its implication with special reference to Indo-Burma Range during 17th-18th Jan 2020.
  28. Organised national Faculty Development Programme on Moodle Learning Management System during 24th-28th August 2020.

Membership

College Level

  1. IQAC, GZRSC
  2. Student Support Committee, GZRSC

University Level

  1. Moderation Board
  2. School Board Member

Professional Society Membership

  1. Computer Society of India

This page was updated on 23rd September 2020

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Accredited Grade A (CGPA 3.09) by NAAC in 2022