Lecturer
Department of Computer Engineering and Information Technology
Mandalay Technological University
Patheingyi Township, Mandalay
Myanmar
+95-2035750
phyothuzartun@mtu.edu.mm, dr.phyothuzartun@gmail.com
Sep 2014 – | Doctor of Philosophy | Department of Information and Communication Technology, University of Technology (Yatanarpon Cyber City) |
Jan 2006 – Dec 2009 | Master of Engineering | Department of Information Technology, Technological University (Mandalay) |
2002 – 2006 | Bachelor of Engineering | Department of Information Technology, Technological University (Mandalay) |
Aug 2017 – Present | Lecturer | Department of Computer Engineering and Information Technology, Mandalay Technological University |
May 2016– July 2017 | Assistant Lecturer | Department of Computer Engineering and Information Technology, Mandalay Technological University |
April 2010 – April 2016 | Assistant Lecturer | Department of Electronic Communication, Technological University (Loikaw) |
Sep 2009 – Mar 2010 | Demonstrator | Department of Information Technology, Technological University (Mandalay) |
Current Teaching Subjects | Digital Communications, Analysis of Algorithm |
Research Interests | Wireless Communication |
Responsibilities | Supervising COE, Master, Teaching |
JOURNALS
1 | Phyo Thu Zar Tun, Chit Su Htwe, Nargis Classification using Machine Learning Algorithms, University Journal of Science, Engineering and Research (UJSER), Technological University (Kyaukse), 2020, Vol-02, Issue-01, ISSN-2707-0565. |
2 | Phyo Thu Zar Tun, Khaing Thanda Swe, Khin Ohnmar Maung, Indoor Path Loss Prediction using Two-Ray Model, Technological University (Kalay), ETSJ, Vol-2, Issue-2, 2020. |
3 | Phyo Thu Zar Tun, Khaing Thanda Swe, Khin Ohnmar Maung, Audio Signal Filtering with Low-pass and High-pass Filters, IJCIRAS, ISSN-2581, 5334, Vol-2, Issue-12. |
4 | Phyo Thu Zar Tun, Audio Feature Extraction using Mel-frequency Cepstral Coefficients, IJCIRAS, SSN-2581, 5334, Vol-2, Issue-12. |
5 | Phyo Thu Zar Tun, Khin Ohnmar Maung, Khaing Thanda Swe, Logo Recognition for Safely Behavior in Mandalay Technological University, Computer University (Pinlon), The Annual University Journal on Research and Applications (AUJRA), 2019, Vol-1, Issue-1. |
6 | Phyo Thu Zar Tun, Khaing Thanda Swe, Chit Su Htwe, Noise Removal Analysis on Receive Signal Strength using MATLAB, Technological University (Hpa-an) (URJEAS), ISBN: 978-99971-0-861-6, Vol-1, Dec-2019, pp-152-156. |
7 | Phyo Thu Zar Tun, Indoor Path Loss Prediction by Analyzing Propagation Models, Computer University (Loikaw), The Annual University Journal on Innovative Research and Products (AUJIRP), 2018. |
8 | Phyo Thu Zar Tun, Path Loss Prediction by using RSSI Values, IJCIRAS, Vol-1, Issue-7, Dec-2018, ISSN-2581-5334, 2018. |
PROCEEDINGS
1 | Phyo Thu Zar Tun, Performance Evaluation for Classification on Dengue Fever, First National Conference on Engineering Research, 16-Jan, 2020, Yangon, Myanmar. |
2 | Phyo Thu Zar Tun, Khaing Thanda Swe, Thiri Kyaw, Complexity Analysis of Lexicographic Algorithm for Sorting Myanmar Airport Lists, Myanmar Universities’ Research Conference (2020), June 25-27, Yangon, Myanmar. |
3 | Phyo Thu Zar Tun, Aye Su Hlaing, Modification of Propagation Model for 2.4 GHz Indoor Wireless Environment, International Conference on Advances in Engineering and Technology (ICAET’ 2014), ISBN-978-93-82242-85-7, Mar 29-10, 2014, Singapore. |
4 | Phyo Thu Zar Tun, Aye Su Hlaing, Enhanced Generic Signal Propagation Prediction Model for 2.4 GHz Indoor WiFi Environment, International Conference on Science and Engineering (ICSE), Dec-9-10, 2013, Yangon, Myanmar. |
5 | Phyo Thu Zar Tun, Aye Su Hlaing, Improved Generic Path Loss Prediction Model for Indoor Wireless Environment, International Conference on Advances in Computing and Communication Technologies, 2013, Thailand. |
6 | Phyo Thu Zar Tun, RSA-CRT Encryption and Decryption System, 2nd National Conference on Science and Engineering, 2009 (Upper Myanmar), Jun-23,34-2009, Mandalay, Myanmar. |
July 1, 2019 to July 28, 2019 | Lower Mekong Initiative (LMI), Young Scientists Fellowship. Theme: Public Health and Bioinformatics National Institute of Laos, Laos |