研究者基本情報

• 博士 （情報科学）, 北海道大学, 2018年03月

• https://researchmap.jp/phyothandarthant

• https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202201008836301791

• 80972372

• 202201008836301791

• Scientific Workflow Optimization
• Cloud Computing
• Multi-Objective Optimization
• Research Data Management
• Metadata Schema Design
• Big Data
• Database

• 情報通信, 情報学基礎論, Multi-Objective Optimization, Evolutionary Computation, Cloud Computing, Big Data
• 情報通信, データベース, Database Management System, Data Engineering
• 情報通信, 情報学基礎論, Artificial Intelligence. Machine Learning, Data Driven Science
• 情報通信, ソフトウェア, System Development

研究活動情報

• 2017年04月, Nitobe School, Hokkaido University, Nitobe Program for Graduate Student Scholarship
• 2014年04月, Japanese Government, Japanese Government (MEXT) scholarship
  Multi-objective resource optimizations of Big Data Applications in Cloud Computing Infrastructure
• 2012年03月, IT Business Plan Contest 2012 held by Myanmar Computer Federation (MCF), CIESF and KDDI foundation, Top Ten Selection Prize
  Development of Cloud Infrastructure System

• Unified Metadata Architecture and Workflow Automation for SEM Imaging in Support of FAIR and Open Science
  Phyo Thandar Thant; Takashi Endo; Yuko Mori; Naomi Hirai; Masashi Takei; Takuya Yumine; Masaharu Munetomo; Yasutaka Matsuo
  Proceedings of the 2026 IEEE 26th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), 137, 146, 2026年07月29日, ［査読有り］, ［筆頭著者］
• Toward Schema-Based BI for Cleanroom Experimental Metadata: Organization, Visualization, and a Beta-Stage Case Study
  Phyo Thandar Thant; Takashi Endo; Masaharu Munetomo; Yasutaka Matsuo
  Proceedings of the 2026 12th International Conference on Computing and Data Engineering, 98, 111, ACM, 2026年02月04日, ［査読有り］, ［筆頭著者］
  研究論文（国際会議プロシーディングス）
• QoE optimization of A/V streaming using Linux OS fine tuning
  Kyaw Thet Han; Phyo Thandar Thant
  Proceedings of the International Conference on Advanced Information Science and System, ACM, 2019年11月15日, ［査読有り］
  研究論文（国際会議プロシーディングス）
• クラウドコンピューティング基盤におけるビッグデータ アプリケーションの多目的資源割当最適化
  ピョーテンダーテン
  1, 139, 2018年03月22日
• Many-Objective Resource Optimization with NSGA-III for Scientific Workflow Execution in the Cloud
  第; 回進化計算学会研究会プログラム
  Phyo Thandar Thant，Courtney Powell， Martin Schlueter，Masaharu Munetomo, 2018年03月06日, ［筆頭著者］
• A Level-Wise Load Balanced Scientific Workflow Execution Optimization Using NSGA-II
  Phyo Thandar Thant; Courtney Powell; Martin Schlueter; Masaharu Munetomo
  2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), IEEE, 2017年05月, ［査読有り］, ［筆頭著者］
  研究論文（国際会議プロシーディングス）
• Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment
  Phyo Thandar Thant; Courtney Powell; Martin Schlueter; Masaharu Munetomo
  Scientific Programming, 2017, 1, 17, Hindawi Limited, 2017年, ［査読有り］, ［筆頭著者］
  研究論文（学術雑誌）, Cloud computing in the field of scientific applications such as scientific big data processing and big data analytics has become popular because of its service oriented model that provides a pool of abstracted, virtualized, dynamically scalable computing resources and services on demand over the Internet. However, resource selection to make the right choice of instances for a certain application of interest is a challenging problem for researchers. In addition, providing services with optimal performance at the lowest financial resource deployment cost based on users’ resource selection is quite challenging for cloud service providers. Consequently, it is necessary to develop an optimization system that can provide benefits to both users and service providers. In this paper, we conduct scientific workflow optimization on three perspectives: makespan minimization, virtual machine deployment cost minimization, and virtual machine failure minimization in the cloud infrastructure in a level-wise manner. Further, balanced task assignment to the virtual machine instances at each level of the workflow is also considered. Finally, system efficiency verification is conducted through evaluation of the results with different multiobjective optimization algorithms such as SPEA2 and NSGA-II.
• Multi-Objective Hadoop Configuration Optimization using Steady-State NSGA-II
  Phyo Thandar Thant; Courtney Powell; Akiyoshi Sugiki; Masaharu Munetomo
  2016 JOINT 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 17TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), 293, 298, 2016年, ［査読有り］, ［筆頭著者］
  英語, 研究論文（国際会議プロシーディングス）
• Evaluation of Three Steady-State NSGA-III Offspring Selection Schemes for Many-Objective Optimization
  Courtney Powell; Masaharu Munetomo; Phyo Thandar Thant
  2016 JOINT 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 17TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), 166, 171, 2016年, ［査読有り］
  英語, 研究論文（国際会議プロシーディングス）
• Parameter Optimization Framework on Apache Hadoop using a Steady-State Genetic Algorithm
  回MPS研究発表会
  Thant Phyo Thandar，Sugiki Akiyoshi，Munetomo Masaharu, 2015年09月29日, ［筆頭著者］
• Data Integration from Heterogeneous Databases using Improved Tries Structure
  Phyo Thandar Thant, Thinn Thu Naing
  University of Computer Studies, Yangon, the Republic of the Union of Myanmar, 2014年02月, ［筆頭著者］
• Enhancing the Availability and Partition Tolerance of NoSQL Databases
  Phyo Thandar Thant; Thinn Thu Naing
  University of Computer Studies, Yangon, the Republic of the Union of Myanmar, 2013年02月, ［筆頭著者］
• Improving the Availability of NoSQL Databases for Cloud Storage
  Phyo Thandar Thant; Thinn Thu Naing
  University of Computer Studies, Yangon, the Republic of the Union of Myanmar, ICCA 2012, 2012年02月, ［筆頭著者］
• Secure Service Provisioning in Cloud using Attribute Based Encryption
  Phyo Thandar Thant; Thinn Thu Naing
  University of Computer Studies, Yangon, the Republic of the Union of Myanmar, 2011年05月, ［筆頭著者］
  英語
• Duplicate Record Elimination using Priority Queue Algorithm
  Phyo Thandar Thant; Thin Thin Htike
  University of Computer Studies, Yangon, the Republic of the Union of Myanmar, 2008年12月, ［筆頭著者］

• AI/ML for Data Driven Science: Case Study – A Study of Regression Analysis in Thermal Atomic Layer Deposition Processes
  ISAJ Hokkaido Symposium 2024, 2024年12月
• Towards Data-Empowered Science: Shaping the Future of Science Research
  Phyo Thandar Thant, Sun-Yat-Sen University, Guangzhou, China (URL: http://www.nea2023.net/), 2023年11月
• Logic-Based Artificial Intelligence
  Myat Pwint Phyu; Win Win Naing; Phyo Thandar Thant, ASEAN Cyber University, 2019年12月
• A Container-based Sizing Framework for Apache Hadoop/Spark Clusters
  Akiyoshi Sugiki, Phyo Thandar Thant, Hadoop Summit Tokyo (URL: https://developer.aliyun.com/article/71023), 2016年10月