Biography – Shannar Phine is an associate professor at MIIT. She completed her master’s degree in computer science from the University of Computer Studies, Mandalay in 2008. Prior to joining MIIT, she worked as associate professor in the Department of Computer Science at the University of Computer Studies, Loikaw, Myanmar. She has more than 19 years of experience in teaching Information science.

• M.C.Sc, University of Computer Studies, Mandalay, Myanmar (2008)

Thesis Title: “Developing Web Based Naga Culture Information System

Using Hypermedia Design Methodology Aided”

• B.C.Sc (Hons.), Computer Universiy, Monywa, Myanmar (2004)
• B.C.Sc, Computer University, Monywa, Myanmar (2003)

• December 2023 to Present: Associate Professor at Myanmar Institute of Information Technology, Mandalay, Myanmar
  
• June 2021 to May 31 2023: Associate Professor at University of Computer Studies, Loikaw, Myanmar
• December 2018 to September 2021: Lecturer at University of Computer Studies, Loikaw, Myanmar
• October 2015 to December 2018: Assistant Lecturer at University of Information Technology, Yangon, Myanmar
• January 2015 to September 2015: Tutor at University of Computer Studies Yangon (Bahan Campus), Yangon, Myanmar
• February 2012 to January 2015: Tutor at University of Computer Studies, Kyaing Tong, Myanmar
• October 2004 to February 2012: Tutor at University of Computer Studies, Monywa, Myanmar

· Shannar Phine, Developing Web Based Naga Culture Information System Using Hypermedia Design Methodology Aided. Proceedings of the 1st Applied Information and Communication Technology, UCSM, Mandalay, Myanmar 2008-Sept,Vol-1,239-242

· Shannar Phine, Data Mining Approaches Based Employee Churn Prediction. The Annual University Journal on Innovative Research and Products (2020), University of Computer Studies, Loikaw Vol 3, Issue 1 2020 ISSN_2709_0418 December

· Shannar Phine, Machine Learning Approaches Based Education and Research Documents Classification Algorithm. UJRIT,Lashio Vol 1, Issue 1 2020 September

· Shannar Phine, Pneumonia Classification Using Deep Learning VGG19 Model. The IEEE 20th International Conference on Computer Applications (ICCA 2023-UCSY)