Hi, I'm Ye Htet.
A
Motivated and proactive researcher with a curious mindset, passionate about tackling complex real-world challenges and finding innovative solutions.
About
I earned my Ph.D. in Computer Science at the University of Miyazaki, Japan, transitioning from a background in electronics to focus on machine learning and computer vision. During my Master’s, I developed an intelligent irrigation system for strawberry cultivation, integrating IoT and machine learning to optimize water usage and detect nutrient deficiencies. For my doctoral research, I designed a real-time monitoring and behavior analysis system for elderly care using stereo depth cameras and deep learning. These experiences have taught me adaptability and the value of continuous learning.
I am proficient in Python for data analysis, with experience in MATLAB and C for software development. My expertise spans AI and machine learning, using frameworks like TensorFlow and PyTorch to build intelligent systems, as well as computer vision techniques such as OpenCV, human action recognition, and stereo vision integration. I also have hands-on experience with IoT technologies, including Arduino and Raspberry Pi, for sensor-based system design. Additionally, I recently focused on Computer Vision and Human Behavior Understanding, Robotics and Multimodal Communication, and Generative AI and GIS for Smart Cities equipping me with diverse skills for solving complex problems. I am eager to contribute these capabilities to impactful projects while continuing to grow in this field.
Looking for an opportunity to work in a challenging position in academic or industry combining my skills in Electronics Engineering and Computer Science. Eager to collaborate with like-minded professionals, continue learning, and make meaningful contributions to advancements in AI, machine learning, and computer vision.
Education
October 2021 ~ September 2024
Miyazaki, Japan
Department: Materials and Informatics
Laboratory:
Visual Information Laboratory
Degree: Ph.D. (Computer Science)
CGPA: 5.0/5.0
Thesis Topic: A Study on Real-time Elderly Monitoring and Behavior Analysis Using Stereo Depth Camera at the Elderly Care Center
Quick Summary: Conducted interdisciplinary research on stereo vision-based AI-driven smart aging solutions for elderly care. Specialized in integrating computer vision techniques and deep learning algorithms with behavioral data analysis to promote independent living and enhance well-being among elderly individuals in care environments.
- Computer Science and Bioinformatics
- Computer Software
- Computer Hardware
- Career Design for Next Generation Researchers
Relevant Courseworks:
University of Technology (Yatanarpon Cyber City)
May 2017 ~ February 2020
Pyin Oo Lwin, Myanmar
Department: Faculty of Engineering
Degree: Master of Engineering (Electronics)
CGPA: 5.0/5.0
Quick Summary: Gained expertise in Python, digital image processing, machine learning, and IoT sensor networks. Applied these skills to develop a smart irrigation system for year-round strawberry cultivation by controlling the water supply and environmental factors inside the greenhouse. Key research outcomes included effective monitoring of plant growth trends and early detection of nutrient deficiencies through computer vision and machine learning techniques.
- Digital Signal Processing
- Fuzzy Logic and Neural Network Control
- Image Processing
Relevant Courseworks:
University of Technology (Yatanarpon Cyber City)
November 2011 ~ February 2017
Pyin Oo Lwin, Myanmar
Department: Faculty of Engineering
Degree: Bachelor of Engineering (Electronics)
CGPA: 4.8/5.0
Thesis Topic: Design and Implementation of Quadcopter using Autopilot Board
Quick Summary: Focused on electronic engineering principles with hands-on experience in design and implementation. Bachelor’s thesis centered on developing a low-cost quadcopter with stable navigation capabilities, emphasizing practical application in environmental monitoring.
- Digital Control System
- Embedded System and Design
- Programmable Logic Control
Relevant Courseworks:
Awards
Certificates
- December 2024: Generative AI for Everyone (DeepLearning.AI)
- December 2024: Large Multimodal Model Prompting with Gemini (DeepLearning.AI)
- November 2024: Multimodal RAG: Chat with Videos (DeepLearning.AI)
- May 2024: TensorFlow Developer Certificate (Google)
- April 2024: TensorFlow Developer Certificate Bootcamp (Udemy)
- October 2023: Convolutional Neural Networks in TensorFlow (Coursera)
- December 2022: Japanese Language Proficiency Test (N4)
- January 2021: TOEFL iBT Test
- November 2020: TOEIC L&R Test
Research Grant and Scholarships
- Research Incentives Grant: 180,000 Yen per month
- Research Funding: 400,000 to 700,000 Yen per year
- Supported Amount: 48,000 Yen per month
Experience
- Visual Information Laboratory
- Development and maintenance of image processing, computer vision and machine learning related real-world applications, including handwritten character recognition and elderly action recognition systems.
- Collaboration with researchers in the team to design, implement, and test solutions.
- Co-authored an international journal publication and contributed to AI-driven real-world applications in education and healthcare.
- Tools: Python, OpenCV, TensorFlow, PyTorch, Matplotlib
- Engaged in collaborative research projects focused on real-world applications of image processing and AI to address societal challenges.
- [Project 1] Deep Learning-based Cow Monitoring System: Developed an AI-driven system utilizing multi-camera data to monitor livestock behavior, significantly reducing diagnosis time for farmers and promoting sustainable agricultural practices. Designed and implemented an efficient camera streaming solution using Python parallel programming.
- [Project 2] Cattle Lameness Detection System Using Machine Learning: Developed a cattle lameness detection algorithm using 4K and 3D cameras. Conducted machine learning-based classifications for identifying lameness scores for each cattle.
- Tools: Python, OpenCV, TensorFlow, PyTorch, Matplotlib, Pandas
- [Subjects Taught] Image Engineering, Image Processing Theory, and Information Theory
- Assisted the professor in delivering lectures and gained experience in the methods of teaching and mentoring students, including guiding them on assignments and lab activities.
- Reviewed students’ assignments and homework involving information processing problems, algorithm design, and coding implementations.
- Provided constructive feedback and ensured accuracy by testing and validating students’ solutions.
- Tools: Python, C, Matlab
Projects
A Foundational Elderly Activity Monitoring System With AI and GUI Interface
Objective: Aimed to Support Elderly’s Wellbeing and Assist Their Caregivers.
Main Contributions:- Developed a privacy-preserving, real-time action recognition system using stereo depth cameras.
- Detected crucial transition states from primitive actions using spatiotemporal features.
- Combined HMM and ML models for accurate real-time action classification.
- Integrated CRNN to analyze body posture changes for robust transition state recognition.
- Validated system reliability on real-world elderly datasets.
Libraries and Frameworks: Python, Pandas, PyTorch, TensorFlow, Matplotlib, PyQt5, OpenCV, YOLOv5, YOLOv8, YOLOv9, SAM, CNN, RNN, Scikit-Learn, SVM, kNN, HMM
Livestock Behavior Monitoring Using Multiple Cameras for Sustainable Agriculture
Objective: Aimed to reduce diagnosis time for farmers and promote sustainable agricultural practices.
Main Contributions:- Developed a deep learning-based system utilizing multi-camera data to monitor livestock behavior.
- Developed cow detection algorithms using Detectron2 and YOLOv5.
- Classified the mounting status of cows inside the farm using EfficientNet and ResNet models.
- Designed and implemented an efficient camera streaming solution using Python parallel programming.
Libraries and Frameworks: Python, PyTorch, TensorFlow, Matplotlib, OpenCV, YOLOv5, CNN, scikit-learn, Detectron2, EfficientNet, ResNet
Cow Lameness Detection Using Different ML Algorithms From 4K and 3D Camera Images
Objective: Aimed to reduce diagnosis time for farmers and promote sustainable agricultural practices.
Main Contributions:- Participated in developing a cattle lameness detection algorithm using 4K and 3D cameras.
- Extracted significant features from images to differentiate cow lameness scores with four levels.
- Conducted machine learning-based classifications to identify lameness scores for each cattle.
Libraries and Frameworks: Python, PyTorch, Matplotlib, OpenCV, CNN, Scikit-Learn, SVM, kNN, MLP
An Intelligent System for Growing Strawberry Plants in Different Seasons of the Year
Objective: Aimed to produce strawberry fruits in all seasons using intelligent systems within the small-scale farm.
Main Contributions:- Applied Python, CV, ML, and IoT sensor networks skills to develop a smart irrigation system for year-round strawberry cultivation.
- Controlled water supply and environmental factors inside the greenhouse for optimized growth.
- Monitored plant growth trends and detected early signs of nutrient deficiencies using CV and ML techniques.
- Achieved effective real-time monitoring and management of the irrigation process, improving strawberry yield quality.
Libraries: Python, Pandas, OpenCV, CNN, scikit-learn, SVM, kNN, IoT
Design and Implementation of a Quadcopter Using Flight Controller Board (APM 2.8) to Get Good Stability
Objective: To study how to utilize stabilization theories of a quadcopter using the autopilot flight controller board with open source software.
Main Contributions:- Used the flight controller that provide great stability with advanced PID tuning.
- Set up different missions using GPS waypoint planning for field measurement scaling.
- Direct monitoring using First Person View (FPV) camera to monitor dangerous places.
Concepts: Arduino, GPS, PID, Wireless Remote Control, Flight Controller, Mission Planner Ground Station Software
Technical Skills
Programming Languages and Frameworks
Python
Matlab
C
TensorFlow
PyTorch
Libraries
NumPy
Pandas
OpenCV
scikit-learn
Matplotlib
PyQt5
Computer Vision Models
Detectron2
YOLOv5
YOLOv8
SAM
EfficientNet/ResNet
LSTM/GRU
Additional Knowledge
Internet of Things
Arduino
RaspberryPi
Generative AI
Multimodal RAG
Languages
- Burmese: Native Level
- English: Business Level (TOEFL iBT 79, TOEIC L&R 855)
- Japanese: Conversational Level (JLPT N4 113)
Publication List
- Ye Htet, Thi Thi Zin, Pyke Tin, Hiroko Tamura, Kazuhiro Kondo, Shinji Watanabe and Etsuo Chosa, “Smarter Aging: Developing a Foundational Elderly Activity Monitoring System with AI and GUI Interface”, IEEE Access, vol.12, pp.74499-74523, May 2024, 25 pages
- Ye Htet, Thi Thi Zin, Pyke Tin, Hiroki Tamura, Kazuhiro Kondo and Etsuo Chosa, “HMM- based Action Recognition System for Elderly Healthcare by Colorizing Depth Map”, International Journal of Environmental Research and Public Health, vol.19, issue.19, September 2022, 21 pages
- Ye Htet, Htin Kyaw Oo and Thi Thi Zin, “Smart Irrigation: An Intelligent System for Growing Strawberry Plants in Different Seasons of the Year”, ICIC Express Letters, vol.12, no.4, pp.359-367, April 2021, 9 pages
- Thi Thi Zin, Ye Htet, Yuya Akagi, Hiroki Tamura, Kazuhiro Kondo, Sanae Araki and Etsuo Chosa, “Real-time Action Recognition System for Elderly People Using Stereo Depth Camera”, Sensors, vol.21, issue.17, September 2021, 23 pages
- Thi Thi Zin, Ye Htet, Tunn Cho Lwin and Pyke Tin, “A Markov-Dependent Stochastic Approach to Modeling Lactation Curves in Dairy Cows”, Smart Agriculture Technology, vol.6, October 2023, 7 pages
- Thi Thi Zin, Ye Htet, San Chain Tun and Pyke Tin, “Artificial Intelligence Fusion in Digital Transformation Techniques for Lameness Detection in Dairy Cattle”, International Journal of Biomedical Soft Computing and Human Sciences: the Official Journal of the Biomedical Fuzzy Systems Association, vol.28, issue.1, March 2023, 8 pages
- Ye Htet, Thi Thi Zin, Pyke Tin, Hiroko Tamura, Kazuhiro Kondo, Shinji Watanabe and Etsuo Chosa, “Analyzing Parameter Patterns in YOLOv5-based Elderly Person Detection Across Variations of Data”, Proc. of the 6th International Workshop on Smart Living with IoT, Cloud and Edge Computing, In Conjunction with the 21st International Conference on Mobile Ad-Hoc and Smart Systems, Seoul, South Korea, pp. 629-634, September 2024, 6 pages (Presented Online) [Best Paper Award]
- Ye Htet, Thi Thi Zin, Hiroki Tamura, Kazuhiro Kondo and Etsuo Chosa, “Temporal-Dependent Features Based Inter-Action Transition State Recognition for Eldercare System”, Proc. of the IEEE 13th International Conference on Consumer Electronics-Berlin (ICCE-Berlin), Berlin, Germany, pp. 106-111, September 2023, 6 pages (Presented Online)
- Ye Htet, Thi Thi Zin, Hiroki Tamura, Kazuhiro Kondo and Etsuo Chosa, “Action Recognition System for Senior Citizens Using Depth Image Colorization”, Proc. of the IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), Osaka, Japan, pp.494-495, March 2022, 2 pages (Presented Online)
- Thi Thi Zin, Ye Htet, Yuya Akagi, Hiroki Tamura, Kazuhiro Kondo and Sanae Araki, “Elderly Monitoring and Action Recognition System Using Stereo Depth Camera”, Proc. of the IEEE 9th Global Conference on Consumer Electronics (GCCE), Kobe, Japan, pp.316-317, October 2020, 2 pages (Presented Online)
- Thi Thi Zin, Ye Htet, San Chain Tun, Pyke Tin, “Artificial Intelligence Topping on Spectral Analysis for Lameness Detection in Dairy Cattle”, Proc. of the Annual Conference of Biomedical Fuzzy Systems Association, Himeji, Japan, pp.1-4, December 2022, 4 pages (Presented Online)
- Thi Thi Zin, Shin Thant, Ye Htet and Pyke Tin, “Handwritten Characters Segmentation Using Projection Approach”, Proc. of the IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Kyoto, Japan, pp.107-108, March 2020, 2 pages
- Ye Htet, Thi Thi Zin, Hiroki Tamura, Kazuhiro Kondo and Etsuo Chosa, “Unobtrusive Elderly Action Recognition with Transitions Using CNN-RNN”, Journal of Signal Processing, vol.28, issue.6, pp.315-319, November 2024, 5 pages [Research Note]
- Ye Htet, Thi Thi Zin, Hiroki Tamura, Kazuhiro Kondo and Etsuo Chosa, “Transition-Aware Elderly Action Recognition: Unveiling Insights with CNN-RNN Integration”, 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, Honolulu, Hawaii, USA, February 2024 (Presented Onsite)
- Ye Htet, “Real-time Elderly Monitoring and Behavior Analysis Using Stereo Depth Camera at the Elderly Care Center”, 2nd Sakura Workshop for Consumer Electronics, Computer, Communication, and Information Technologies, National Chung Hsing University, Taichung, Taiwan, March 2023 (Presented Onsite)
- Ye Htet and Thi Thi Zin, “A Research on Real-time Action Recognition for Elderly People Using Stereo Depth Camera”, 15th NOKOH Student Seminar in English, Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, Miyazaki, Japan, November 2022 (Presented Onsite) [Outstanding Presentation Award]
Activities
-
2024: ICGEC International Conference
- Assisted with program agenda scheduling, abstract book creation, and registration.
- Supported technical setup at the welcome ceremony and managed backstage operations for the Banquet and Farewell ceremony. 2024: Cultural Exchange with Local High School
- Volunteered in laboratory sessions to share cultural and scientific knowledge with high school students visiting from Hinokage to the University of Miyazaki. 2022 – 2024: Sakura Science Exchange Program
- Volunteered annually at the University of Miyazaki, hosting participants primarily from Southeast Asia, including Myanmar, Thailand, and neighboring regions like India and Mongolia.
- Activities included campus tours, research presentations, and hands-on lab sessions covering topics such as Raspberry Pi applications and website creation with Canva. 2022 – 2023: Online Session on Computer Vision Projects
- Participated as a knowledge-sharing speaker during the pandemic (Covid-19) in online sessions for Myanmar students, focusing on implementing TensorFlow-based deep learning algorithms in computer vision applications.
- Delivered tutorials and shared insights to support participants in developing their projects. 2021 – 2024: University Sports Clubs
- Actively participated in university sports clubs with international students, including ground tennis and table tennis.
-
2017 – 2019: Mentorship of Undergraduate Projects
- Mentored undergraduate students during the Master’s course, overseeing projects including line-following and self-balancing robots, as well as a smart city initiative. 2017 – 2019: Training Workshops
- Conducted training workshops at technological universities in Myanmar alongside a supervising professor, providing hands-on experience in electronic sensor devices and practical applications using Arduino and Raspberry Pi.