Biography

She is a facilitator/teacher who has successfully awarded Doctor of Philosophy in Information Technology field and is currently doing her teaching at Faculty of Computer System and Technology, Myanmar Institute of Information Technology, Mandalay.

She has studied an undergraduate course and Master course at (UCSM) University of Computer Studies, Mandalay, Myanmar from 1998 to 2004. She received her Master of Computer Technology (M.C.Tech) in 2004. Since March 2007, she was pursuing her study for Ph.D in Information Technology (IT) research area. Her specialization is Digital Signal Processing in University of Computer Studies, Yangon (UCSY) and she accepted her Doctor of Philosophy in 2010. And then, she was conducted the (Multimedia) Signal Processing course in Ph.D class at University of Technology, Yatanarpon Cyber City . And also Digital Image Processing, Research Methods, Information Theory, Advanced Topics in Systems were conducted for Ph.D students at University of Computer Studies, Mandalay from 2010 to 2017. She taught undergraduate subjects to the students of UCS (Banmaw), UCS(Mandalay), and UTYCC. She has done a good job as an advisor for undergraduate information technology projects and Ph.D research.

Education

  • Ph.D. (Information Technology), University of Computer Studies, Yangon
  • M.C.Tech. (Computer Technology), University of Computer Studies, Mandalay
  • B.C.Tech.(Hons.) (Computer Technology), University of Computer Studies, Mandalay
  • PG. Diploma in VLSI, CDAC-ACTS (Pune), India
  • Diploma in Technology (Electronic), Mandalay Technological University

Experience

Teaching Service

  • Computer University (Mandalay) -2004 to 2005
  • Computer University (Banmaw) -2005 to 2010
  • University of Technology (Yatanarpon Cyber City)- 2010 to 2015
  • Computer University (Mandalay) -2015 to 2017
  • Computer University (Banmaw) -2017 to 2018
  • University of Computer Studies, Mandalay – 2018 to 2021

Research

  • Master of Computer Technology
  • Ph.D (IT)

Field: Computer Architecture

Title: Accumulator Based CPU (2003-2004)

Field: Digital Signal Processing

Title: Robust Audio Fingerprinting Based on Discrete Wavelet Entropy (2008-2010)

Ongoing Research

  • Acoustic Scene Classification System using Channel Attention based Deep Residual Learning Network
  • Myanmar Handwritten Document Recognition Based on Deep Learning

Supervised Ph.D Research

  • Human Identification and Gender Classification Using MSRC, UTYCC, 2014
  • Video Genre Classification Using MARS Classifier, UTYCC, 2014
  • Automatic Image Segmentation By Using Edge And Marker Controlled Watershed Transformation, UCSM, 2016
  • Mental Tasks Classification From Electroencephalogram (EEG) Signal Using Matching Pursuit , UCSM, 2016
  • Disparity Map Estimation from Stereo Images, UCSM, 2019
  • Compact Object Representation for Moving Object Detection and Classification, UCSM, 2019
  • Sound Event Classification based on Time Frequency Representation, UCSM, 2019
  • Detecting and Labelling Overlap Speech on Meeting Room Conversation, UCSM, 2020
  • Detection of Malignant Melanoma Skin Cancer, UCSM, 2019
  • Stationary Object Detection in Video Sequences for Surveillance Application, UCSM, 2019
  • MRI images Enhancement and Tumor Segmentation for Brain, UCSM, 2020
  • Myanmar Text Extraction and Recognition for Warning Signboard Images, UCSM, 2021

Publications

  1. Mie Mie Oo, Nu War, “Acoustic Scene Classification using Attention based Deep Learning Model”, International Journal of Intelligent Engineering and Systems (IJIES), ISSN (ISSN: 2185-3118) , Volume 15,Issue 6 DEC 2022 (31 December, 2022) 589.
  2. Aye Min, Nu War, “Stationary Wavelet Transform(SWT) Based MRI Images Enhancement and Brain Tumor Segmentation”, International Journal of Computer (IJC), Vol.39, no-1, pp. 26-35, 2020.
  3. Kyi Pyar Zaw, Nu War, “Y-Position based Myanmar Touching Character Segmentation and Sub-components-based Character Classification”. The IEEE 17th International Conference on Software Engineering Research, Management and Applications (SERA), Honolulu, HI, USA, 2019, pp. 76-83, doi: 10.1109/SERA. 2019.8886810.
  4. Aye Min, Nu War, “Comparative Experiments of Brain Tumor Segmentation Methods in MRI image”, The 17th International Conference on Computer Applications, ICCA 2019, Yangon, Myanmar, Feb. 2019, pp 287-293
  5. Nay Chi Lynn, Nu War, “Segmentation of Skin Lesion towards Melanoma Skin Cancer Classification”, International Journal of Computer Science and Network, Volume 8, Issue 3, June 2019, ISSN(Online): 2277-5420
  6. Nay Chi Lynn, Nu War, “Melanoma Classification on Dermoscopy Skin Images using Bag Tree Ensemble Classifier”, International Conference on Advanced Information Technologies (ICAIT 2019), Nov. 2019, Date Added to IEEE Xplore: 05 December 2019
  7. Nu War, May Phyo Oo, “A Comparative Study of Classification Methods of Music Video Genre Classification”, 2018 Joint International Conference on Science, Technology and Innovation in Mandalay with Japan University & Company Research Group cooperated by IEEE.
  8. Nu War, “A Comparative Study of LRC, NNLS, KNN, and Sparse Representation based Classification Methods Based on Audio Features”, International Journal of Advanced Research and Publications, September 2018
  9. Thein Htay Zaw, Nu War, “Features Combination of Spectral Entropy, Zero Crossing Rate, Short Time Energy and Linear Prediction Error for Voice Activity Detection”, The 20th International Conference On Computer and Information Technology (ICCIT 2017) December 22-24, University of Asia Pacific, Dhaka, Bangladesh
  10. Tin Tin Yu, Nu War, “Enhanced Target Representation for Moving Objects Classification”, The 6th IEEE Global Conference on Consumer Electronics (GCCE 2017) ; Date - Oct. 24-27, 2017, Nagoya, Japan. ISBN: 978-1-5090-4045-2,pp 186-188
  11. Tin Tin San, Nu War, “Stereo Matching Algorithm by Hill-Climbing Segmentation”. The 6th IEEE Global Conference on Consumer Electronics (GCCE 2017) ,Oct. 24-27, 2017, Nagoya, Japan. ISBN: 978-1-5090-4045-2,pp 661-662
  12. Khine Zar Thwe, Nu War, “Local Tetra Pattern Texture Features for Environmental Sound Event Classification ”, The 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT’17); Date- December 18-20, 2017, Taipei Taiwan
  13. Khine Zar Thwe, Nu War, “Environmental Sound Classification using Time-frequency Representation ”, IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing SNPD 2017, Kanazawa, Japan
  14. Tin Tin San, Nu War, “Feature Based Disparity Estimation Using Hill-Climbing Algorithm”, IEEE/ACIS International Conference on Software Engineering, Research, Management and Applications SERA -2017, London, England.
  15. Tin Tin Yu, Nu War, “Condensed Object Representation with Corner HOG Features for object Classification in Outdoor Scenes ”, IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing SNPD 2017, Kanazawa, Japan
  16. Tin Tin San, Nu War, “Local Stereo Matching Under Radiometric Variations”, IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing SNPD 2017, Kanazawa, Japan
  17. Khin Lay Mon, Nu War, “Integration of Marker Controlled Watershed and Region Merging Method for Image Segmentation”, The 14th International Conference on Computer Application ICCA,2016
  18. Khine Zar Thwe, Nu War, “Sound Event Classification using Bidirectional Local Binary Pattern”, International Conference on Signal Processing and Communication, ICSPC 2017, Pg 501-504
  19. Zin Mar Lwin, Nu War, “Mental Tasks Signal Classification”, The 14th International Conference on Computer Application ICCA,2016
  20. Hnin Ei Latt, Nu War, “Video Genre Classification Using MARS based on Factor Analysis Method”, International Conference on Advanced Technology in Information System & E-Education ICATISE 2014, Institute of Information System & Research Center, Singapore.
  21. Nyo Nyo Htwe, Nu War, “Human Identification Using Biometric Gait Features”, International Conference on Advances in Engineering and Technology, 2014. http://dx.doi.org/10.15242/IIE.E0314067
  22. Hnin Ei Latt, Nu War, “An Approach to Classify Video Genre Using MARS Classifier”, International Journal of Scientific Engineering and Technology Research, ISSN 2319-8885, 2014 Vol.03, Issue.17 Pg 3538-3541
  23. Nyo Nyo Htwe, Nu War, “Gender Identification using Biometric Gait Features”, International Journal of Scientific Engineering and Technology Research, ISSN 2319-8885, 2014Vol-3 Issue-16 Pg 3270-3278
  24. Hnin Ei Latt, Nu War, “Audio-based Classification of Video Genre Using Multivariate Adaptive Regression Splines”, International Journal of Advanced Research in Computer Engineering & Technology, ISSN: 2278 – 1323, 2013 Volume 2 Pg 1801-1805
  25. Hnin Ei Latt, Nu War, “Factor Analysis-based Video Genre Classification using MARS”, International Conference on Science and Engineering, ICSE, 2013
  26. Nyo Nyo Htwe, Nu War, “Gender Classification Based-Human Gait Features Using MSRC”, International Conference on Science and Engineering, ICSE, 2013
  27. Nyo Nyo Htwe, Nu War, “Human Identification Based Biometric Gait Features using MSRC”. International Journal of Advanced Research in Computer Engineering & Technology, ISSN: 2278 – 1323, 2013 Vol 2 No 5 Pg 1879-1885. 2013
  28. Nu War, Moe Pwint, “Audio Fingerprinting Framework using Wavelet Entropy and Timbral Features”, The 8th International Conference on Computer Application ICCA, 2010
  29. Nu War, “Framework for Audio Fingerprinting based on Discrete Wavelet Entropy”, The fourth Conference on Parallel & Soft Computing, UCSY, Yangon, 2009
  30. 28. Nu War, Moe Pwint, “Feature Extraction For Audio Fingerprint System based on Wavelet Entropy”, International Conference (Emerging Trends in Signal Processing and VLSI Design) SPVL, 2010, India.