Dr. Swe Swe Aung

Contact

Dr. Swe Swe Aung, M.C.Sc, Ph.D.

Postal Address:           University of Computer Studies, Taunggyi campus, Shan state, Myanmar, 06011.

Telephone:                   +95-9-5600458

Email:                          swesweaung@ucstgi.edu.mm

Biography

Swe Swe Aung  received a Bachelor of Computer Science (B.C.Sc) in 2004 from University of Compter Studies, Loikaw, Myanmar, and a Master of Computer Science (M.C.Sc) in 2009 from University of Computer Studies, Mandalay, Myanmar. She earned a Ph.D. in Information Technology from University of Computer Studies, Yangon in 2016, where she did “GPS-enabled Mobile Phone-based Traffic Detection System on Mobile Cloud Infrastructure” as well as a Ph.D. in Engineering from University of Ryukyus, Okinawa, Japan in 2019, where she researched “A Study on Advanced Applications of Machine Learning Approach and Image Processing: Traffic, Weather, Pattern Recognition, and Noise Filtering”. Her research interests are in artificial intelligence, transportation technologies, image processing, mobile computing, cloud computing, block chain technologies and education field.

Academic Qualifications:

       B.C.Sc, B.C.Sc(Hons:), M.C.Sc, Ph.D (IT), Ph.D( Engineering)

  • Ph.D. in Engineering, University of the Ryukyus, Okinawa, Japan, 2019.
  • Ph.D. in Information Technology, University of Computer Studies, Yangon, Myanmar, 2016.
  • M.C.Sc. in Computer Science, University of Computer Studies, Mandalay, Myanmar, 2009.
  • B.C.Sc. (Hons) in Computer Science, Computer University (Loikaw), Kayah state, Myanmar,    2006.
  • B.C.Sc. in Computer Science, Computer University (Loikaw), Kayah state, Myanmar, 2005.

Academic Dissertation:

  • Master Dissertation: “Read Copy Update: To Solve Concurrency Problem Using Threads ”, M.C.Sc, 2009
  • Doctoral Dissertation in Myanmar: “GPS-enabled Mobile Phone-based Traffic Detection System on Mobile Cloud Infrastructure”, Ph.D (IT), 2016.
  • Doctoral Dissertation in Japan: “A Study on Advanced Applications of Machine Learning Approach and Image Processing: Traffic, Weather, Pattern Recognition, and Noise Filtering”, Ph.D. (Engineering), 2019.

Professional Experience:

  • The University of Computer Studies, Taunggyi (as a Lecturer)
  • The University of Computer Studies, Taunggyi (as an Assistant Lecturer)
  • The University of Computer Studies, Taunggyi (as a Tutor)

Academic Journal Publication:

  1. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Intelligent Traffic Prediction by Multi-Sensor Fusion Using Multi-threaded Machine Learning”, IEIE Transactions on Smart Processing and Computing, vol. 5, no. 6, December 30, 2016, page 430-439.
  2. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Plurality Rule–based Density and Correlation Coefficient–based Clustering for K-NN ”, IEIE Transactions on Smart Processing and Computing, vol. 6, no. 3, June 30, 2017, page-183.
  3. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Traffic Flow Estimation System by using Hybrid Approach”, IEIE Transactions on Smart Processing and Computing, Volume 6 Number 4, August  30, 2017.
  4. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Dual-kNN for a Pattern Classification Approach”, IEIE Transactions on Smart Processing and Computing, Vol.6 No.5, October, 30, 2017, Page 326-333.
  5. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Short-Term Prediction of Local Heavy Rain by Radar Image and Machine Learning”, IEIE Transactions on Smart Processing and Computing,  April  30, 2018, pages-107.
  6. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Regional Distance-based k-NN Classification”, Journal of Information and Communication Engineering (JICE), Volume 4, Issue 1,  April 5 , 2018, ISSN : 2186-9162, page-203.
  7. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “A High-Performance Classifier by Dimensional Tree Based Dual-kNN”, IEIE Transactions on Smart Processing and Computing, March, 2018.
  8. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Investigation into Tolerance of Mislabeling when Classifying Patterns with Dual-kNN”, IEIE Transactions on Smart Processing and Computing,Vol.7, No. 6,pp.413-423, December 30, 2018.
  9. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki,“An Adaptive Morphological Operation for High-Performance Weather Image Processing”, IEIE Transactions on Smart Processing and Computing,Vol. 7, No. 6,pp. 424-432, December 30, 2018.
  10. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “A High-Performance and Noise-Robust Classifier from K-Dimensional tree-based Dual kNN”, Journal of the Society of Plant Engineers Japan (JSPEJ),Vol.31,No.3,      pp.68-79, October, 2018.
  11. Swe Swe Aung and Thinn Thu Naing, “Mining Data for Traffic Detection System Using GPS_enable Mobile Phone in Mobile Cloud Infrastructure”, in Proceedings of International Journal on Cloud Computing: Services and Architecture(IJCCSA),Vol.4, June 2014.

Research Paper Publication

  1. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Advanced Traffic Prediction System by Socio-Technical Sensor Fusion using Machine Learning”, International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSSC-2016), pp. 709 – 712, July 13, 2016.
  2.  Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Correlation Coefficient-based K-means Clustering for K-NN”, International Conference on Computer Applications, Myanmar, February 2017.
  3. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “Regional Distance-based k-NN Classification”, International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), pages 56-62, ISSN: 2189-8723, 24-26 Nov. 2017.
  4. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “A High Performance Classifier by Dimensional Tree based Dual-kNN”, Intelligent Systems Conference (IntelliSys) , London, UK, September 2018.
  5. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “An Attempt to Forecast All Different Rainfall Series by Dynamic Programming Approach”, FTC 2018 – Future Technologies Conference 2018,13-14 November 2018,Vancouver, BC, Canada.
  6. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki,“An Adaptive Morphological Operation for High-Performance Weather Image Processing”, The 2nd International Conference on Advanced Information Technologies (ICAIT),Novotel Yangon Max Hotel, Yangon, Myanmar, 1st – 2nd November 2018.
  7. Swe Swe Aung, Hsu Mon Kyi, Yuzana, Thinn Thu Naing, “Blockchain-based Cross-Border Educational Transaction System ”, Seameo Rihed’s Southeast Asian Higher Education (SEA-HiEd) Week 11-15 November 2019, Bangkok, Thailand.
  8. Yuzana, Darli Myint Aung, Hsu Mon Kyi, Swe Swe Aung, Amy Aung, Chan Myae Aye, Yin Nyein Aye, “Nation Building Through Lends a Hand of ICT Innovation: Preliminary Approach to the Multiligual Dictionary for the Prosperity of the Shan State”, Myanmar Universities’ Research Conference 2019, 24th-25th May, 2019, University of Yangon, 24th-25th May, 2019.
  9. Hsu Mon Kyi, Swe Swe Aung,Yuzana, Thinn Thu Naing , “Outcome-based Education System using Blockchain Technology”, Seameo Rihed’s Southeast Asian Higher Education (SEA-HiEd) Week 11-15 November 2019, Bangkok, Thailand.
  10. Swe Swe Aung, Itaru Nagayama, and Shiro Tamaki, “A High Performance and Noise-Robust Classifier from K-Dimensional tree-based Dual kNN”, Workshop on Intelligent Techniques and Data Modeling ( Special Interest Group of Intelligent Techniques and Applications), University of the Ryukyus, Okinawa, Japan.
  11. Swe Swe Aung and Thinn Thu Naing, “Applying GPS_enable Mobile Phone_based Traffic Monitoring System in Mobile Cloud Infrastructure”, in proceedings of the  12ththe International Conference on Computer Applications (ICCA, 2014), Myanmar, February 17-18
  12.  Swe Swe Aung and Thinn Thu Naing, “Behavior Based Traffic Detection System”, in proceedings of  the  13 th the International Conference on Computer Applications (ICCA, 2015), Myanmar, February 5-6, 2015.
  13. Swe Swe Aung and Thinn Thu Naing,  “Naïve Bayes Classifier Based Traffic Prediction System on Cloud Infrastructure”,  IEEE conference of 6th International Conference on Intelligent System, Modelling and Simulation, ISMS2015,Malaysia , February 2015.
  14. Swe Swe Aung and Thinn Thu Naing, “Filtering Duplicated Location in Tracking Traffic Data”, the 9th International Conference on Genetic and Evolutionary Computing (ICGEC 2015), Myanmar, August 26-28, 2015
  15. Swe Swe Aung  and Swe Swe Shein, “Read Copy Update: To Solve Concurrency Problem Using Threads”, AICT Applied Information and Communication Technology, July, 2009.