Updated on 2026/02/18

写真a

 
HTOO HTOO SANDI KYAW
 
Organization
Faculty of Environmental, Life, Natural Science and Technology Lecturer
Position
Lecturer
External link

Degree

  • PhD in Engineering ( 2021.9   Okayama University )

Research Interests

  • IoT

  • Graph Theory

  • AI for Interactive Environments

  • Serious Game

  • Educational Technology

Education

  • Okayama University    

    2018.10 - 2021.9

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  • University of Technology (Yatanarpon Cyber City)    

    2016.5 - 2018.9

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  • University of Technology (Yatanarpon Cyber City)    

    2010.12 - 2015.11

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Professional Memberships

 

Papers

  • A Generative AI–Based Technical Data Extraction Tool for IoT Application Systems Reviewed

    Dezheng Kong, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, I Nyoman Darma Kotama, Zihao Zhu, Alfiandi Aulia Rahmadani

    Sensors   26 ( 4 )   1081   2026.2

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    Nowadays, Internet of Things (IoT) application systems play an essential role in smart cities, industry, healthcare, agriculture, and smart homes. For non-expert users, designing and implementing IoT application systems remains challenging, especially when configuring sensors, edge devices, and server platforms. To support configuration tasks of IoT application systems, we have developed an AI-based setup assistance tool. However, AI models still fail to reliably support newly released or previously unseen devices, sometimes producing incomplete or erroneous outputs that may lead to configuration failures. Incorporating their technical-document information into Retrieval-Augmented Generation (RAG) is an effective way to supplement AI knowledge and improve reliability. In this paper, we propose a generative AI-based technical data extraction tool to address the challenges. It extracts essential technical information using the schema-based extraction from given PDF or HTML datasheets and converts it into a structured format suitable for AI-supported configurations. A local vector database is used to enable semantic similarity retrieval and provide document-grounded evidence for RAG-based answering, ensuring consistent support for previously unseen IoT devices. For evaluations, we applied the proposal to several sensor and device datasheets and compared extracted specifications with ground-truth values to measure accuracy and completeness. Then, we compared end-to-end configuration QA reliability against a commercial baseline (ChatPDF) using the golden benchmark. The results show that the proposed tool reliably acquires key specifications and significantly improves end-to-end configuration QA reliability. Across 960 golden QA pairs, the proposed method improves Recall from 0.636 to 0.926 and Accuracy from 0.595 to 0.807 compared with ChatPDF.

    DOI： 10.3390/s26041081

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  • A Slide Annotation System with Multimodal Analysis for Video Presentation Review Reviewed

    Amma Liesvarastranta Haz, Komang Candra Brata, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Evianita Dewi Fajrianti, Sritrusta Sukaridhoto

    Algorithms   19 ( 2 )   110   2026.2

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    With the rapid growth of online presentations, there has been an increasing need for efficient review of recorded materials. In typical presentations, speakers verbally elaborate on each slide, providing details not captured in the slides themselves. Automatically extracting and embedding these verbal explanations at their corresponding slide locations can greatly enhance the review process for audiences. This paper presents a Slide Annotation System that employs a robust hybrid two-stage detector to identify slide boundaries, extracts slide text through Optical Character Recognition (OCR), transcribes narration, and employs a multimodal Large Language Model (LLM) to generate concise, context-aware annotations that are added to their corresponding slide locations. For evaluations, the technical performance was validated on five recorded presentations, while the user experience was assessed by 37 participants. The results showed that the system achieved a macro-average F1 score of 0.879 (SD=0.024, 95% CI[0.849,0.909]) for slide segmentation and 90.0% accuracy (95% CI[74.4%,96.5%]) for annotation alignment. Subjective evaluations revealed high annotation validity and usefulness as rated by presenters, and a high System Usability Scale (SUS) score of 80.5 (SD=6.7, 95% CI[78.3,82.7]). Qualitative feedback further confirmed that the system effectively streamlined the review process, enabling users to locate key information more efficiently than standard video playback. These findings demonstrate the strong potential of the proposed system as an effective automated annotation system.

    DOI： 10.3390/a19020110

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  • An SQL Query Description Problem with AI Assistance for an SQL Programming Learning Assistant System Reviewed

    Ni Wayan Wardani, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Zihao Zhu, I Nyoman Darma Kotama, Putu Sugiartawan, I Nyoman Agus Suarya Putra

    Information   17 ( 1 )   65   2026.1

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    Today, relational databases are widely used in information systems. SQL (structured query language) is taught extensively in universities and professional schools across the globe as a programming language for its data management and accesses. Previously, we have studied a web-based programming learning assistant system (PLAS) to help novice students learn popular programming languages by themselves through solving various types of exercises. For SQL programming, we have implemented the grammar-concept understanding problem (GUP) and the comment insertion problem (CIP) for its initial studies. In this paper, we propose an SQL Query Description Problem (SDP) as a new exercise type for describing the SQL query to a specified request in a MySQL database system. To reduce teachers’ preparation workloads, we integrate a generative AI-assisted SQL query generator to automatically generate a new SDP instance with a given dataset. An SDP instance consists of a table, a set of questions and corresponding queries. Answer correctness is determined by enhanced string matching against an answer module that includes multiple semantically equivalent canonical queries. For evaluation, we generated 11 SDP instances on basic topics using the generator, where we found that Gemini 3.0 Pro exhibited higher pedagogical consistency compared to ChatGPT-5.0, achieving perfect scores in Sensibleness, Topicality, and Readiness metrics. Then, we assigned the generated instances to 32 undergraduate students at the Indonesian Institute of Business and Technology (INSTIKI). The results showed an average correct answer rate of 95.2% and a mean SUS score of 78, which demonstrates strong initial student performance and system acceptance.

    DOI： 10.3390/info17010065

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  • A Threshold Selection Method in Code Plagiarism Checking Function for Code Writing Problem in Java Programming Learning Assistant System Considering AI-Generated Codes Reviewed

    Perwira Annissa Dyah Permatasari, Mustika Mentari, Safira Adine Kinari, Soe Thandar Aung, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Khaing Hsu Wai

    Analytics   5 ( 1 )   2   2025.12

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    To support novice learners, the Java programming learning assistant system (JPLAS) has been developed with various features. Among them, code writing problem (CWP) assigns writing an answer code that passes a given test code. The correctness of an answer code is validated by running it on JUnit. In previous works, we implemented a code plagiarism checking function that calculates the similarity score for each pair of answer codes based on the Levenshtein distance. When the score is higher than a given threshold, this pair is regarded as plagiarism. However, a method for finding the proper threshold has not been studied. In addition, AI-generated codes have become threats in plagiarism, as AI has grown in popularity, which should be investigated. In this paper, we propose a threshold selection method based on Tukey’s IQR fences. It uses a custom upper threshold derived from the statistical distribution of similarity scores for each assignment. To better accommodate skewed similarity distributions, the method introduces a simple percentile-based adjustment for determining the upper threshold. We also design prompts to generate answer codes using generative AI and apply them to four AI models. For evaluation, we used a total of 745 source codes of two datasets. The first dataset consists of 420 answer codes across 12 CWP instances from 35 first-year undergraduate students in the State Polytechnic of Malang, Indonesia (POLINEMA). The second dataset includes 325 answer codes across five CWP assignments from 65 third-year undergraduate students at Okayama University, Japan. The applications of our proposals found the following: (1) any pair of student codes whose score is higher than the selected threshold has some evidence of plagiarism, (2) some student codes have a higher similarity than the threshold with AI-generated codes, indicating the use of generative AI, and (3) multiple AI models can generate code that resembles student-written code, despite adopting different implementations. The validity of our proposal is confirmed.

    DOI： 10.3390/analytics5010002

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  • An AI-Driven System for Learning MQTT Communication Protocols with Python Programming Reviewed

    Zihao Zhu, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, I Nyoman Darma Kotama, Anak Agung Surya Pradhana, Alfiandi Aulia Rahmadani, Noprianto

    Electronics   14 ( 24 )   4967   2025.12

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    Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    With rapid developments of wireless communication and Internet of Things (IoT) technologies, an increasing number of devices and sensors are interconnected, generating massive amounts of data in real time. Among the underlying protocols, Message Queuing Telemetry Transport (MQTT) has become a widely adopted lightweight publish–subscribe standard due to its simplicity, minimal overhead, and scalability. Then, understanding such protocols is essential for students and engineers engaging in IoT application system designs. However, teaching and learning MQTT remains challenging for them. Its asynchronous architecture, hierarchical topic structure, and constituting concepts such as retained messages, Quality of Service (QoS) levels, and wildcard subscriptions are often difficult for beginners. Moreover, traditional learning resources emphasize theory and provide limited hands-on guidance, leading to a steep learning curve. To address these challenges, we propose an AI-assisted, exercise-based learning platform for MQTT. This platform provides interactive exercises with intelligent feedback to bridge the gap between theory and practice. To lower the barrier for learners, all code examples for executing MQTT communication are implemented in Python for readability, and Docker is used to ensure portable deployments of the MQTT broker and AI assistant. For evaluations, we conducted a usability study using two groups. The first group, who has no prior experience, focused on fundamental concepts with AI-guided exercises. The second group, who has relevant background, engaged in advanced projects to apply and reinforce their knowledge. The results show that the proposed platform supports learners at different levels, reduces frustrations, and improves both engagement and efficiency.

    DOI： 10.3390/electronics14244967

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  • A Comparative Study of Authoring Performances between In-Situ Mobile and Desktop Tools for Outdoor Location-Based Augmented Reality Reviewed

    Komang Candra Brata, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Prismahardi Aji Riyantoko, Noprianto Noprianto, Mustika Mentari

    Information   16 ( 10 )   2025.10

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    Language：English  

    DOI： 10.3390/info16100908

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  • A Guided Self-Study Platform of Integrating Documentation, Code, Visual Output, and Exercise for Flutter Cross-Platform Mobile Programming Reviewed

    Safira Adine Kinari, Nobuo Funabiki, Soe Thandar Aung, Htoo Htoo Sandi Kyaw

    Computers   14 ( 417 )   2025.10

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  • A Phrase Fill-in-blank Problem in a Client-side Web Programming Assistant System Reviewed

    Huiyu Qi, Zhikang Li, Nobuo Funabiki, Htoo Htoo, Sandi Kyaw, Wen Chung Kao

    Information   16 ( 8 )   709   2025.8

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  • A Map Information Collection Tool for a Pedestrian Navigation System Using Smartphone Reviewed

    Kadek Suarjuna Batubulan, Nobuo Funabiki, Komang Candra Brata, Nyoman Darma Kotama, Htoo Htoo, Sandi Kyaw, Shintami Chusnul Hidayati

    Information   16 ( 7 )   588   2025.7

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  • Utilizing OpenStreetMap for Collaborative Mobile Reporting System in Irrigation Infrastructure Management Reviewed

    Yan Watequlis Syaifudin, Pramana Yoga Saputra, Htoo Htoo Sandi Kyaw, Zaed Abdullah, Alfiandi Aulia Rahmadani, Triana Fatmawati

    Journal of Electrical Engineering, Machatronic and Computer Science   8 ( 1 )   45 - 60   2025.2

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  • Fault-tolerant Routing in Bicubes Reviewed

    Yitong Wang, Htoo Htoo, Sandi Kyaw, Kunihiro Fujiyoshi, Keiichi Kaneko

    IEICE Trans. Information and Systems   E108-D ( 1 )   74 - 81   2025

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  • Optimizing Irrigation Infrastructure Management with Web-based Technologies and OpenStreetMap Integration Reviewed

    Triana Fatmawati, Yan Watequlis Syaifudin, Maulana Rosandy, Alfiandi Aulia Rahmadani, Htoo Htoo, Sandi Kyaw, Yuri Ariyanto

    International Journal of Frontier Technology and Engineering   3 ( 1 )   54 - 68   2024.12

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  • Code Plagiarism Checking Function and Its Application for Code Writing Problem in Java Programming Learning Assistant System Reviewed

    Ei Ei Htet, Khaing Hsu Wai, Soe Thandar Aung, Nobuo Funabiki, Xiqin Lu, Htoo Htoo, Sandi Kyaw, Wen-Chung Kao

    Analytics   3 ( 1 )   46 - 62   2024

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    Publishing type：Research paper (scientific journal)  

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  • A Proposal of Code Writing Problem for C Programming Learning Assistant System Reviewed

    Htoo Htoo, Sandi Kyaw, Chai Xu Min, Keiichi Kaneko, Soe Thandar Aung, Nobuo Funabiki, Annisa Anggun Puspitasari

    International Journal of Learning and Teaching   10 ( 2 )   261 - 269   2024

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  • Answer Code Validation Program with Test Data Generation for Code Writing Problem in Java Programming Learning Assistant System Reviewed

    Khaing Hsu Wai, Nobuo Funabiki, Soe Thandar Aung, Xiqin Lu, Yanhui Jing, Htoo Htoo, Sandi Kyaw, Wen-Chung Kao

    Engineering Letters   32 ( 5 )   981 - 994   2024

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  • Node-to-set Disjoint Paths Problem in Cross-cubes Reviewed

    Rikuya Sasaki, Hiroyuki Ichida, Htoo Htoo, Sandi Kyaw, Keiichi Kaneko

    IEICE Trans. Information and Systems   E107-D ( 1 )   53 - 59   2024

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  • Node-to-node and Node-to-set Disjoint Paths Problems in Bicubes Reviewed

    Arata Kaneko, Htoo Htoo, Sandi Kyaw, Kunihiro Fujiyoshi, Keiichi Kaneko

    IEICE Trans. Information and Systems   E108-D ( 9 )   1133 - 1139   2024

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  • An Implementation of Web-based Answer Platform in the Flutter Programming Learning Assistant System Using Docker Compose Reviewed

    Lynn Htet Aung, Soe Thandar Aung, Nobuo Funabiki, Htoo Htoo, Sandi Kyaw, Wen-Chung Kao

    Electronics   13 ( 24 )   4878   2024

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  • An Implementation of Code Validation Function in C Programming Learning Assistant System Reviewed

    Annisa Anggun Puspitasari, Nobuo Funabiki, Xiqin Lu, Huiyu Qi, Htoo Htoo, Sandi Kyaw, Kiyoshi Ueda

    International Journal of Learning and Teaching (IJLT)   9 ( 1 )   24 - 30   2023

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  • A Proposal of Hint Function for Java Programming Learning Assistant System Reviewed

    Yanhui Jing, Nobuo Funabiki, Soe Thandar Aung, Xiqin Lu, Htoo Htoo, Sandi Kyaw, Kiyoshi Ueda

    Int’l J. Inf. and Edu. Tech. (IJIET)   13 ( 11 )   1828 - 1834   2023

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  • Value trace problems for code reading study in C programming Reviewed

    Xiqin Lu, Nobuo Funabiki, Htoo Htoo, Sandi Kyaw, Ei Ei Hte, Shune Lae Aung, Nem Khan Dim

    Advances in Science, Technology and Engineering Systems Journal (ASTESJ)   7 ( 1 )   14 - 26   2022

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  • Value trace problems for code reading study of JavaScript programming Reviewed

    Khin Thet Mon, Khaing Hsu Wai, Nobuo Funabiki, Htoo Htoo, Sandi Kyaw

    Int. J. of Inf. and Edu. Tech. (IJIET)   12 ( 5 )   430 - 435   2022

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  • Investigation of Value Trace Problem for C++ Programming Self-study of Novice Students Reviewed

    Shune Lae Aung, Nem Khan Dim, Soe Mya Mya Aye, Nobuo Funabiki, Htoo Htoo, Sandi Kyaw

    Int. J. of Inf. and Edu. Tech. (IJIET)   12 ( 7 )   631 - 636   2022

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  • A study of Grammar-concept Understanding Problem in C Programming Learning Assistant System Reviewed

    Xiqin Lu, Nobuo Funabiki, Soe Thandar Aung, Htoo Htoo, Sandi Kyaw, Kiyoshi Ueda, Wen-Chung Kao

    ITE Transactions on Media Technology and Applications   10   198 - 207   2022

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  • A proposal of code modification problem for self-study of web client programming using JavaScript Reviewed

    Khaing Hsu Wai, Nobuo Funabiki, Khin Thet Mon, May Zin Htun, San Hay Mar Shwe, Htoo Htoo, Sandi Kyaw, Wen-Chung Kao

    Advances in Science, Technology and Engineering Systems Journal (ASTESJ)   7 ( 5 )   53 - 61   2022

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  • A Study of Element Fill-in-blank Problems for C Programming Learning Assistant System Reviewed

    Htoo Htoo, Sandi Kyaw, Nobuo Funabiki, Shune Lae Aung, Nem Khan Dim, Wen-Chung Kao

    Int. J. of Inf. and Edu. Tech (IJIET)   11 ( 6 )   255 - 261   2021

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  • Value Trace Problems with Assisting References for Python Programming Self-Study Reviewed

    San Haymar Shwe, Nobuo Funabiki, Yan Watequlis Syaifudin, Ei Ei Hte, Htoo Htoo, Sandi Kyaw, Phyu Phyu Tar, Nandar Win Min, Thandar Myin, Hnin Aye Than, Wen-Chung Kao

    Int. J. of Web Info. Sys. (IJWIS)   2021

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  • A proposal of Grammar-concept Understanding Problem in Java Programming Learning Assistant System Reviewed

    Soe Thandar Aung, Nobuo Funabiki, Yan Watequlis Syaifudin, Htoo Htoo, Sandi Kyaw, Shune Lae Aung, Nem Khan Dim, Wen-Chung Kao

    Journal of Advances in Information Technology (JAIT)   12 ( 4 )   342 - 350   2021

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  • A Code Completion Problem in Java Programming Learning Assistant System Reviewed

    Htoo Htoo, Sandi Kyaw, Su Sandy Win, Nobuo Funabiki, Wen-Chung Kao

    Int. J. of Comput. Sci. (IJCS)   47 ( 3 )   350 - 359   2020

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  • A Proposal of Code Amendment Problem in Java Programming Learning Assistant System Reviewed

    Htoo Htoo, Sandi Kyaw, Nobuo Funabiki, Wen-Chung Kao

    Int. J. of. Inf. and Edu. Tech (IJIET)   10 ( 10 )   751 - 756   2020

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MISC

  • A Generative-AI Approach to Validating Blank Selections for Phrase Fill-in-Blank Problems in Web-Client Programming Learning Assistant System

    Zhikang Li, Huiyu Qi, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, and Wen-Chung Kao

    2026 44th International Conference on Consumer Electronics (ICCE 2026)   2026.2

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  • An Accuracy Investigation of Input Setup Assistance Service for Unlearned Sensor Using Generative AI with Retrieval-Augmented Generation in SEMAR IoT Application Server Platform

    Nyoman Darma Kotama, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Anak Agung Surya Pradhana, and Kedek Suarjuna Batubulan

    30th Asia Pacific Conference on Communications (APCC)   2025.11

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  • An Introduction of Test Code-Based Approach in Algorithms and Data Structures Course with Java Programming

    Mustika Mentari, Nobuo Funabiki, Perwira Annisa Dyah Permatasari, Htoo Htoo Sandi Kyaw, Vivi Nur Wijayaningrum, Triana Fatmawati, and Yan Watequlis Syaifudin

    2025 8th International Conference on Vocational Education & Electrical Engineering (ICVEE)   2025.9

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  • A Comparative Analysis of Generative AI and Student Solutions in Java Programming Assignments

    Htoo Htoo Sandi Kyaw, Tomoyuki Hata, and Nobuo Funabiki

    2025 IEEE International Symposium on Consumer Technology (ISCT)   2025.9

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  • An Implementation of YOLOv8-Based UI Component Detection Method in Flutter Programming Learning Assistant System

    Soe Thandar Aung, Nobuo Funabiki, Lynn Htet Aung, Htoo Htoo Sandi Kyaw, and Safira Adine Kinari

    2025 IEEE International Symposium on Consumer Technology (ISCT)   2025.9

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  • A Proposal of SQL Query Description Problem in SQL Programming Learning Assistant System

    Ni Wayan Wardani, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Putu Sugiartawan, and I Nyoman Agus Suarya Putra

    2025 8th International Conference on Vocational Education & Electrical Engineering (ICVEE)   2025.9

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  • SmartHomeGarden: An Application Integrating IoT Sensor Automation, Generative AI, and Flutter for Home Gardening

    Soe Thandar Aung, Nobuo Funabiki, and Htoo Htoo Sandi Kyaw

    2025 International Symposium on Intelligent Technologies for Smart Agriculture (ITSA)   2025.9

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  • A Proposal of Performance Enhancement of SEMAR IoT Server Platform Using Kubernetes

    Noprianto, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Komang Candra Brata, I Nyoman Darma Kotama, Yan Watequlis Syaifudin, and Alfiandi Aulia Rahmadani

    2025 8th International Conference on Vocational Education & Electrical Engineering (ICVEE)   2025.9

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  • A Study of Slide Annotation Generating System from Online Presentations

    Amma Liesvarastranta Haz, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Evianita Dewi Fajrianti, and Sritrusta Sukaridhoto

    2025 8th International Conference on Vocational Education & Electrical Engineering (ICVEE)   2025.9

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  • An Implementation of Integrated Introductory Problems for Cross-Platform Flutter Programming Self-Studies

    Safira Adine Kinari, Nobuo Funabiki, Soe Thandar Aung, Htoo Htoo Sandi Kyaw, and Mustika Mentari

    2025 8th International Conference on Vocational Education & Electrical Engineering (ICVEE)   2025.9

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  • Implementation of Gamified Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Keiichi Kaneko, Nobuo Funabiki, and Wen-Chung Kao

    2025 43rd International Conference on Consumer Electronics (ICCE 2025)   2025.1

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  • An Implementation of Naming Rule Checking Function and Its Applications to Java Programming Codes

    Khaing Hsu Wai, Nobuo Funabiki, Mustika Mentari, Soe Thandar Aung, Htoo Htoo Sandi Kyaw, Shingo Yamaguchi, Wen-Chung Kao

    2025 43rd International Conference on Consumer Electronics (ICCE 2025)   2025.1

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  • A Proposal of the Gamification of Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Keiichi Kaneko, and Nobuo Funabiki

    2024 9th International Conference on Consumer Electronics (ICCE-Asia)   128 - 129   2024.11

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  • Improvements of Game Characters in Gamified Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Keiichi Kaneko, and Nobuo Funabiki

    2024 International Conference on Technical and Vocational Education: Intelligence, Sustainability, and Innovation (ICTVE)   2024.11

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  • Analysis of Code Writing Problem Solution Results in C Programming Course

    Htoo Htoo Sandi Kyaw, Keiichi Kaneko, and Nobuo Funabiki

    2024 IEEE International Conference on Consumer Electronics (ICCE 2024)   2024.1

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  • A Proposal of Code Amendment Problem for Game Programming Study

    Htoo Htoo Sandi Kyaw, Keiichi Kaneko, and Nobuo Funabiki

    2023 IEEE International Conference on Gaming, Entertainment, and Media (GEM 2023)   2023.11

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  • Code Writing Problems for Basic Object-oriented Programming Study in Java Programming Learning Assistant system

    Khaing Hsu Wai, Nobuo Funabiki, Soe Thandar Aung, Xiqin Lu, Yanhui Jing, Htoo Htoo Sandi Kyaw, and Wen-Chung Kao

    2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)   2023.10

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  • Fault-tolerant Routing Methods in Bicubes

    Yitong Wang, Htoo Htoo Sandi Kyaw, and Keiichi Kaneko

    2023 Int’l Conf. Parallel and Distributed Processing Techniques and Applications   2023.7

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  • A Proposal of Code Writing Problem for C Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Chai Xu Min, Keiichi Kaneko, Soe Thandar Aung, Nobuo Funabiki, and Annisa Anggun Puspitasari

    2023 4th International Conference on Information Technology and Education Technology (ITET 2023)   2023.5

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  • An Implementation of Answer Code Validation Program for Code Writing Problem in Java Programming Learning Assistant System

    Khaing Hsu Wai, Nobuo Funabiki, Soe Thandar Aung, Khin Thet Mon, Htoo Htoo Sandi Kyaw, and Wen-Chung Kao

    2023 11th International Conference on Information and Education Technology (ICIET 2023)   193 - 198   2023.3

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  • An Implementation of Java Programming Learning Assistant System Platform Using Node.js

    Soe Thandar Aung, Nobuo Funabiki, Lynn Htet Aung, Hein Htet, Htoo Htoo Sandi Kyaw, and Shinji Sugawara

    2022 10th International Conference on Information and Education Technology (ICIET 2022)   47 - 52   2022.4

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  • An Implementation of Coding Rule Checking Function for C Programming Study

    Htoo Htoo Sandi Kyaw, Keiichi Kaneko, Nobuo Funabiki, and Kiyoshi Ueda

    2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022)   137 - 138   2022.3

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  • A Proposal of Code Modification Problem for Python Programming Learning Assistant System

    San Hay Mar Shwe, Nobuo Funabiki, Htoo Htoo, Sandi Kyaw, Khaing Hsu Wai, Wen-Chung Kao

    International Symposium on Socially and Technically Symbiotic Systems (STSS)   2021.11

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  • A Proposal of Code Modification Problem for Web Client Programming using JavaScript

    Khaing Hsu Wai, Nobuo Funabiki, Khin Thet Mon, San Hay Mar Shwe, Htoo Htoo Sandi Kyaw, Khin Sandar Lin

    The 9th International Symposium on Computing and Networking (CANDAR)   196 - 202   2021.11

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  • Answer Platform Implementation Using Node.js for Code Writing Problem in Java Programming Learning Assistant System

    Soe Thandar Aung, Nobuo Funabiki, Yan Watequlis Syaifudin, Htoo Htoo Sandi Kyaw, and Wen-Chung Kao

    International Symposium on Socially and Technically Symbiotic Systems (STSS)   2021.11

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  • A Code Completion Problem in C Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Ei Ei Htet, Nobuo Funabiki, Minoru Kuribayashi, Thandar Myint, Phyu Phyu Tar, Nandar Win Min, Hnin Aye Thant, and Phyu Hnin Wai

    2021 9th International Conference on Information and Education Technology (ICIET 2021)   34 - 40   2021.3

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  • A Study of Grammar-concept Understanding Problem for C Programming Learning

    Xiqin Lu, Soe Thandar Aung, Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Shune Lae Aung, and Thin Thin Soe

    2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)   162 - 165   2021.3

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  • An Improvement of Value Trace Problems for Pointer Study in C Programming

    Xiqin Lu, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Shune Lae Aung, and Nem Khan Dim

    2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)   152 - 156   2021.3

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  • An Implementation of Offline Answering Function for Code Completion Problem in Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki, and Minoru Kuribayashi

    2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)   166 - 169   2021.3

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  • Applications of Grammar-concept Understanding and Value Trace Problems to Novice Students in C Programming Learning

    Nobuo Funabiki, Xiqin Lu, San Haymar Shwe, Ei Ei Htet, Htoo Htoo Sandi Kyaw, Kiyoshi Ueda and Wen-Chung Kao

    Proc. IEEE Int. Conf. on Consumer Electronics- Taiwan (ICCE-TW 2021)   2021

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  • A Study of Value Trace Problems for Code Reading Study of C Programming

    Xiqin Lu, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Shune Lae Aung, and Nem Khan Dim

    11th International Workshop on Advances in Networking and Computing (WANC 2020)   445 - 459   2020.11

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  • An Extension of Code Correction Problem for Java Programming Learning Assistant System

    Nobuo Funabiki, Masaki Yamaguchi, Minoru Kuribayashi, Htoo Htoo Sandi Kyaw, Su Sandy Wint, Soe Thandar Aung, and Wen-Chung Kao

    2020 8th International Conference on Information and Education Technology (ICIET 2020)   110 - 115   2020.3

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  • A Proposal of Code Correction Problem for Java Programming Learning Assistant System

    Nobuo Funabiki, Sai He, Htoo Htoo Sandi Kyaw, Wen-Chun Kao

    The 11th International Workshop on Virtual Environment and Network-Oriented Applications (VENOA-2019)   671 - 680   2019.7

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  • Web-server Implementation of Code Completion Problem for Java Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Nobuya Ishihara, Minoru Kuribayashi, and Wen-Chung Kao

    2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW 2019)   2019.5

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  • A Proposal of Element/Code Fixing Problem in Java Programming Learning Assistant System

    Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Khin Khin Zaw

    Proc. Int. Conf. Sci. and Eng   2019

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  • Graph-based Blank Element Selection Algorithm and Its Application in Java Programming Learning Assistant System

    Nobuo Funabiki, Htoo Htoo Sandi Kyaw, Khin Khin Zaw

    Proc. Int. conf. on Adv. Info. Tech   2019

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  • A Proposal of Code Completion Problem for Java Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Shwe Thinzar Aung, Hnin Aye Thant, and Nobuo Funabiki

    The 10th International Workshop on Virtual Environment and Network-Oriented Applications (VENOA-2018)   2018.7

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  • An Element Fill-in-blank Problem Application in Myanmar University for Java Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Shwe Thinzar Aung, Hnin Aye Thant, and Nobuo Funabiki

    ICSE2017   2017.12

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Presentations

  • Three improvements for code completion problem in Java programming learning assistant system

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Minoru Kuribayashi, and Khin Khin Zaw

    情報処理学会研究報告, プログラミング研究会2018-4-(13) 

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    Event date： 2019.1.17 - 2019.1.18

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  • Exploring Alternative Solutions by Generative AI Models for Phrase Fill-in-blank Problems in Web-client Programming Learning Assistant System

    Huiyu Qi, Li Zhikang, Nobuo Funabiki, Htoo Htoo Sandi Kyaw, and Wen-Chung Kao

    2025 27th IEEE Hiroshima Section Student Symposium (HISS 2025)  2025.11 

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  • A study of grammar-concept understanding problem for web application development using MEAN architecture

    Htoo Htoo Sandi Kyaw, Keiichi Kaneko, Soe Thandar Aung, Inzali Naing, and Nobuo Funabiki

    電子情報通信学会技術研究報告, NS2022-237, pp. 402-405  2023.3 

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  • A design and implementation of unit test tool for client-side web programming learning assistant system

    Inzali Naing, Khaing Hsu Wai, Htoo Htoo Sandi Kyaw, Huiyu Qi, Veronicha Flasma, and Nobuo Funabiki

    電子情報通信学会技術研究報告, NS2022-235, pp. 390-395  2023.3 

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  • A proposal of two types of exercise problems for TCP/IP programming learning by C language

    Xiqin Lu, Nobuo Funabiki, Inzali Naing, Htoo Htoo Sandi Kyaw, and Kiyoshi Ueda

    電子情報通信学会技術研究報告, NS2022-236, pp. 396-401  2023.3 

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  • プログラミング学習支援システムの解答分析機能の拡張

    西村一輝, 岩本晃司郎, Htoo Htoo Sandy Kyaw, 舩曵信生, 栗林稔

    電子情報通信学会技術研究報告, LOIS2021-2  2021.5 

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  • A study of code completion problem for C programming learning assistant system

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Minoru Kuribayashi, Thandar Myint, and Hnin Aye Thant

    電子情報通信学会技術研究報告, LOIS2020-34  2021.1 

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  • Applications of element fill-in-blank problems for C programming learning in three universities

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Thandar Myint, Phyu Phyu Tar, Nandar Win Min, Hnin Aye Thant, Shune Lae Aung, and Nem Khan Dim

    FIT. Conference  2021 

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  • A study of element fill-in-blank problem with blank element selection algorithm for C programming learning assistant system

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki, and Minoru Kuribayashi

    電子情報通信学会技術研究報告, ET2020-14  2020.9 

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  • An Implementation of Hint Function for Code Completion Problem in Java Programming Learning Assistant System

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki and Minoru Kuribayashi

    in proceeding of the FIT Conference  2019.9 

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  • Implementation of code completion problem in Online Java programming learning assistant system

    Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Nobuya Ishihara, Minoru Kuribayashi, and Khin Khin Zaw

    in proceeding of the IEICE General Conference  2019.3 

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  • An evaluation of calligraphy learning assistant system using projection mapping

    Samsul Huda, Nobuo Funabiki, Minoru Kuribayashi, and Htoo Htoo Sandi Kyaw

    電子情報通信学会大会講演論文集(CD-ROM)  2019 

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Awards

  • Best Presentation Award

    2023.5   International Conference on Information Technology and Education Technology  

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  • Okayama University, Graduate School of Natural Sciences Dean's Award

    2021.10  

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  • Best Presentation Award

    2021.3   International Conference on Information and Education Technology,  

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  • Monbukagakusho: MEXT scholarship

    2018.10  

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Class subject in charge

  • UNIX Programming （2025academic year） 1st semester  - 月5～6,木1～2

  • Programming （2025academic year） 3rd and 4th semester  - 水1～2

  • Programming 1 （2025academic year） Third semester  - 水1～2

  • Programming 2 （2025academic year） Fourth semester  - 水1～2

  • UNIX Programming （2025academic year） 1st semester  - 月5～6,木1～2