Work Experience:

• Researcher at AaltoSea Research Group
  • QoA4ML – A Framework for Supporting Contracts in Machine Learning Services
• Researcher at High Performance Computing Lab
  • High-Performance Data Analytics (HPDA) - Supporting Python and Deep Learning on Xeon Phi co-processor
  • Caching Schemes in ICN-IoT Networks & the Potential of the Color-Based Caching in IoTs - Applying ICN-based caching techniques in IoT network and investigating the potential of the Color-Based Caching in improving performance
  • Optimizing Color-Based Cooperative Caching Algorithm for Telco-CDNs - Applying machine learning algorithms and techniques for analyzing data and predicting content popularity
  • StudyingCollaborativeCachingAlgorithmsinContentDeliveryNetwork - Analyzing log file to support caching algorithms in Telco-CDN
  • Chainer - A Deep Learning tool on Xeon Phi - Developing the library in Intel Xeon Phi to support Deep Learning

Publication:

[8] Minh-Tri Nguyen, Hong-Linh Truong,"Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML", (Accepted/In press) Companion of the 2021 ACM/SPEC International Conference on Performance Engineering (ICPE ’21 Companion), France, 2021.

[7] Minh-Tri Nguyen, Takuma Nakajima, Masato Yoshimi and Nam Thoai, "Analyzing and Predicting the Popularity of Online Contents", The IEEE 21th International Conferences on Information Integration and Web-based Application & Services (IIWAS2019), Munich, Germany, 2019

[6] Minh-Tri Nguyen, Duong H.Le, Takuma Nakajima, Masato Yoshimi and Nam Thoai, "Attention-based Neural Network: A Novel Approach for Predicting the Popularity of Online Content", The IEEE 21th International Conferences on High Performance Computing and Communications (HPCC), Zhangjiajie, China, 2019
[5] Anh-Tu Ngoc Tran, Minh-Tri Nguyen, Thanh-Dang Diep, Takuma Nakajima, and Nam Thoai, "Optimizing Color-Based Cooperative Caching in Telco-CDNs by Using Real Datasets", The 13th International Conference on Ubiquitous Information Management and Communication (IMCOM), Phuket, Thailand, 2019
[4] Anh-Tu Ngoc Tran, Minh-Tri Nguyen, Thanh-Dang Diep, Takuma Nakajima, and Nam Thoai, "A Performance Study of Color-Based Caching in Telco-CDNs by Using Real Datasets", The 9th International Symposium on Information and Communication Technology (SoICT), Da Nang City, Viet Nam, 2018.

[3] Thanh-Dang Diep, Minh-Tri Nguyen, Nhu-Y Nguyen-Huynh, Minh Thanh Chung, Manh-Thin Nguyen, Nguyen Quang-Hung, and Nam Thoai, "Chainer-XP: A Flexible Framework for Artificial Neural Networks Run on the Intel Xeon Phi Coprocessor", The 7th International Conference on High Performance Scientific Computing Simulation, Modeling and Optimization of Complex Processes. 2018
[2] Minh-Tri Nguyen, Thanh-Dang Diep, Tran Hoang Vinh, Takuma Nakajima, and Nam Thoai, "Analyzing and Visualizing Web Server Access Log File", The 5th International Conference on Future Data and Security Engineering (FDSE), Ho Chi Minh City, Viet Nam, 2018.
[1] Anh-Tu Ngoc Tran, Huu-Phu Nguyen, Minh-Tri Nguyen, Thanh-Dang Diep, Nguyen Quang-Hung and Nam Thoai, "pyMIC-DL: A Library for Deep Learning Frameworks Run on the Intel Xeon Phi Coprocessor", The IEEE 20th International Conferences on High Performance Computing and Communications (HPCC), Exeter, United Kingdom, 2018