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Engineering educational research section Information and Communication Technology Program |
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Assistant Professor |
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Related SDGs |
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CHO Nilarphyo
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Degree 【 display / non-display 】
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Doctor of Philosophy ( 2019.9 Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki )
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Master of Computer Sciences ( 2013.3 University of Computer Studies, Yangon )
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Bachelor of Computer Sciences (Hons.) ( 2010.10 University of Computer Studies, Yangon )
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Bachelor of Computer Sciences ( 2009.10 University of Computer Studies, Yangon )
Research Areas 【 display / non-display 】
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Informatics / Robotics and intelligent system / Image Processing Technology
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Informatics / Robotics and intelligent system / Computer Vision
Papers 【 display / non-display 】
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チョ ニラ ピョ, ティ ティ ズイン, パイ テイン
IET Smart Cities 8 ( 1 ) e70024 2026.1
Language：English Publishing type：Research paper (scientific journal) Publisher：Institution of Engineering and Technology (IET)
In smart city environments, public safety increasingly depends on intelligent surveillance systems that can be capable of adapting to dynamic and context-dependent access restrictions. Traditional systems often rely on static and predefined boundaries that fail to respond to rapidly changing environments such as construction sites, public gatherings or emergency situations. This paper introduces a novel deep learning-driven framework using ground-plane homography for real-time proactive intrusion prediction within these dynamically restricted zones (DRZs). Our method first employs deep learning to accurately detect and localise physical restriction markers (e.g.,traffic cones). We then utilise ground-plane homography estimation to accurately map these markers into two-dimensional ground-plane perspective, precisely defining the spatial boundaries of the DRZ in real-time. After the reactive detection of restriction markers region, intrusion prediction is achieved through sophisticated human trajectory analysis and future path extrapolation. By forecasting a person's path and identifying projected future presence within the dynamic ground-plane zone, the system assists proactive alerts and adaptive security responses before an actual violation. To the best of our knowledge, this is the first system capable of predicting intrusions into areas dynamically demarcated by visual restriction markers. The experimental results on real-world surveillance datasets demonstrate the system's effectiveness in identifying the presence of humans in DRZ, validating its potential for deployment in smart cities and critical infrastructure.
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A study on machine learning approaches for predicting fetal pH level using fetal heart rate variability Reviewed
Cho Nilar Phyo, Pyke Tin and Thi Thi Zin
ICIC Express Letters, Part B: Applications 2025.8
Publishing type：Research paper (scientific journal)
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A Study on the Analysis and Classification of Gait States Using Keypoint Information Reviewed
Ryusei Tanno, Thi Thi Zin and Cho Nilar Phyo
ICIC Express Letters 19 ( 6 ) 677 - 684 2025.6
Publishing type：Research paper (scientific journal) Publisher：ICIC International
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A Markov Chain Model for Determining the Optimal Time to Move Pregnant Cows to Individual Calving Pens. Reviewed
Cho Nilar Phyo, Pyke Tin and Thi Thi Zin
Sensors (Basel, Switzerland) 23 ( 19 ) 2023.9
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Deep learning for recognizing human activities using motions of skeletal joints Reviewed
Cho Nilar Phyo, Thi Thi Zin and Pyke Tin
IEEE Transactions on Consumer Electronics 65 ( 2 ) 243 - 252 2019.5
Language：English Publishing type：Research paper (scientific journal)
MISC 【 display / non-display 】
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Deep sequential gait feature learning for long-term person re-identification in real-world environments Reviewed
Cho Nilar Phyo, Thi Thi Zin, Pyke Tin
2025 9th International Conference on Information Technology (InCIT2025) 2025.11
Publishing type：Rapid communication, short report, research note, etc. (scientific journal)
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Enhanced multi-person tracking method based on ByteTrack architecture Reviewed
Cho Nilar Phyo, Thi Thi Zin and Pyke Tin
IEEE 11th Global Conference on Consumer Electronics (GCCE2025) 2025.9
Publishing type：Rapid communication, short report, research note, etc. (scientific journal)
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Quantifying elderly walking states using keypoint data from OpenPose and image processing Reviewed
Ryusei Tanno, Cho Nilar Phyo, Thi Thi Zin
Proceeding of the 2025 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2025) 2025.3
Publishing type：Rapid communication, short report, research note, etc. (scientific journal)
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Vision-based person re-identification through gait recognition using long short-term memory Reviewed
Cho Nilar Phyo, Ryusei Tanno, Thi Thi Zin, Pyke Tin
Proceeding of the 2025 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2025) 2025.3
Publishing type：Rapid communication, short report, research note, etc. (scientific journal)
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Fusion of strategic queueing theory and AI for smart city telecommunication system Reviewed
Thi Thi Zin, Aung Si Thu Moe, Cho Nilar Phyo, Pyke Tin
Proceeding of the 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS) 653 - 657 2024.9
Language：English Publishing type：Rapid communication, short report, research note, etc. (scientific journal)
Presentations 【 display / non-display 】
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How the Sakura Science Program Shaped My Path
Cho Nilar Phyo
18 th Sakura-Padauk International Symposium on Engineering and Technology 2026.2.19
Event date： 2026.2.19
Presentation type：Oral presentation (general)
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Creating Future Career Through Learning
Cho Nilar Phyo
Career Support Lecture 2025.12.22
Event date： 2025.12.22
Presentation type：Oral presentation (general)
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SVMを用いた角度と距離特徴に基づく人の行動認識に関する研究
Cho Nilar Phyo, Thi Thi Zin and Pyke Tin
Event date： 2024.2
Presentation type：Oral presentation (general)
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ディープラーニングを用いた視覚ベースの侵入者検知システムに関する研究
Cho Nilar Phyo, Thi Thi Zin and Pyke Tin
Event date： 2024.2
Presentation type：Oral presentation (general)
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Research Experience and Student Life in Japan
Cho Nilar Phyo
Sakura Science Exchange Program (Online) 2022.2
Event date： 2022.2
Presentation type：Oral presentation (general)
Works 【 display / non-display 】
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Development of Smart Video Surveillance System
2016.1.11 - 2016.9.30
Work type：Software
Awards 【 display / non-display 】
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Certificate of Merit (Student)
2018.3 2018 IAENG International Conference on Imaging Engineering
Cho Nilar Phyo, Thi Thi Zin, Hiroshi Kamada, Takashi Toriu
Award type：Award from international society, conference, symposium, etc.
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Certificate of Merit
2018.3 2018 IAENG International Conference on Imaging Engineering
Thi Thi Zin, Cho Nilar Phyo, Pyke Tin, Hiromitsu Hama, Kobayashi, I.
Award type：Award from international society, conference, symposium, etc.
Grant-in-Aid for Scientific Research 【 display / non-display 】
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Enhanced AI-Driven Image Analysis for Early Mycoplasma Detection in Dairy Calves for innovations in Livestock Health Management
Grant number：25K15232 2025.04 - 2028.03
Pyke Tin
Authorship：Coinvestigator(s)