Dr. Khin May Win

Contact

Dr. Khin May Win, M.I.Sc, Ph.D (IT)

Email:   khinmaywinn@ucstgi.edu.mm

Biography:     She received the Bachelor of Science (Applied Maths)(Q)  degree from Taunggyi University (Taunggyi) and Master of Information Science degree from University of  Computer Studies, Mandalay, Myanmar in 1999 and 2003 respectively. She obtained her Ph.D (IT) degree from University of Computer Studies, Yangon in January,2009. Currently, she is Professor and Head of Department at Faculty of Information Science at University of Computer Studies (Taunggyi). Her research interests are Data Mining, Big Data Analysis  and Machine Learning Technology.

Academic Qualifications:

B.Sc(App Maths), M.I.Sc, Ph.D (IT)

– Ph.D. in Information Technology, University of Computer Studies, Yangon, Myanmar, January 2009.

– M.I.Sc. in Computer Science, University of Computer Studies, Yangon, Myanmar, May 2002.

– B. Sc. (App Maths) (Q) , Taunggyi University (Taunggyin), Myanmar, 1999.

Academic Dissertation:

– Master Dissertation: “The Information Management System for Mandalay City Development Committee( Road,Bridge Department)”, MI.Sc, 2002

– Doctoral Dissertation: “Feature Selection using SVM approach for Cancer Classification”

Professional Experience:

– University of Computer Studies (Taunggyi) (Professor)

– University of Computer Studies (Pathein) (Professor)

– University of Computer Studies (Taunggyi) (Associate Professor)

– University of Computer Studies (Loikaw) (as a Lecturer)

– University of Computer Studies (Taunggyi) (as a Assistant Lecturer)

– Government Computer College (Taunggyi) (as a Tutor)

Academic Journal Publication:

  1. .K. M. Win , Kham .Nang Sai Moon, “Recursive Gene Selection based on SVM approach for Cancer Classification”, International  Journal for Statistical Computing, IASC ( 2008, Japan), ELSEVIER, pp 303-306,  December 2008, ISBN:978-4-9904445-0-,Volume 1, Number 5.

Research Paper Publication:

  1. Khin May Win, “Implication of Neural Computing on Virtualization Framework for Big Data Analysis”, Proceeding of 1st  University Journal on Information and Computing Science, University of Computer Studies (Pathein), Myanmar, pp. 34-39, September 2019.
  2. Khin May Win, “Towards the scalable Classifier with Rule Based Fuzzy Logic for Big Data Learning  ”, Proceeding of Computer Application and Reaearch 2018 (CCAR 2018), Taynggyi, Myanmar, pp. 21-26, October 2018.
  3. K. M. Win, N.S. Moon Kham,” Feature Subset Selection Approach Based on RFE-SVM for Cancer Classification” in proceeding of the seventh International Conference on Computer Applications, Yangon, Myanmar, February 26-27, 2009.
  4. K. M. Win, N.S. Moon Kham,” Feature Ranking Approach for Cancer Classification Using SVM Classifier”, in proceeding of WASET 2008 MLPR Congress, Bangkok ,Thailand , December 17-19, 2008.
  5. K. M. Win, N.S. Moon Kham, “Variable   Selection Approach Based on RFE-SVM for Cancer Classification”, in proceeding of International Conference on Science & Technology: Application in Industry &   Education (2008), Pinang, Malaysia, December 12-13, 2008.
  6. K. M. Win, N.S. Moon Kham,” Feature Subset Selection approach based on Maximizing Margin of Support    Vector   Classifier”, in proceeding of WCSET 2008 Congress, Singapore, August 30-31, September 1, 2008.
  7. K. M. Win, N.S. Moon Kham, ”Feature Subset Selection for Cancer Classification using Confident Margin of Support Vector Machines”,  in proceeding of the  Sixth International Conference on Bioinformatics of Genome Regulation and Structure (BGRS’2008), July 24-25 ,2008.
  8. K. M. Win, N.S. Moon Kham , ” Minimizing Essential Set based Feature for Cancer Classification “,in proceeding of the sixth International Conference on Computer Applications, pp. 62 – 68, Yangon, Myanmar, February 14-15, 2008.