Nguyen Tan Ho

Nguyen Tan Ho He/Him

Computer Vision | AI Engineer | AI Researcher

About

Driven by passion and self-motivation, I am eager to design AI systems that address real-world challenges using the expertise I’ve amassed. Constantly curious and inventive, I never stop exploring new ideas and techniques, and I remain committed to lifelong learning and growth in order to push the boundaries of what’s possible.

Education

Master's Degree - Hosei University

2019 – 2021, Tokyo, Japan
Science and Engineering - Applied Informatics

Grade 3.5 / 4.0

Bachelor's Degree - University of Information Technology

2014 – 2019, Ho Chi Minh city, Vietnam
Computer Science - Computer Vision

Graduation Thesis Grade 9.8 / 10

Experience

Algorithm Engineer

フィーチャ株式会社 / Ficha Inc. · Permanent
Oct 2022 – Present · 2 yrs 9 mos Tokyo, Japan
Deep Learning Python Pytorch OpenCV Numpy Matplotlib

R&D Engineer

Research Center for Computing & Multimedia Studies, Hosei University · Contract
Mar 2021 – Nov 2022 · 1 yr 9 mos Tokyo, Japan
Deep Learning Python Pytorch Matlab Matplotlib Streamlit Pandas SQL

Publications

 Link

Towards knowing students’ emotional states from their voices while interacting with teachers

LAK’25 · Dec 1, 2024 Paper

Accepted in the 15th International Conference on Learning Analytics & Knowledge (LAK’25)

Ho Tan Nguyen, Mohammad Nehal Hasnine, and Hiroshi Ueda

SpeedDeblur: A Framework to speed up CNN-based Deblurring for HEVC compressed video

IEEE MMSP 2021 · Jul 23, 2021 Paper

Accepted in IEEE 23rd International Workshop on Multimedia Signal Processing

Ho Tan Nguyen, Chi Do-Kim Pham, and Jinjia Zhou

Classroom Monitoring using Emotional Data

LAK’24 · Apr 1, 2024 Paper

Accepted in the 14th International Conference on Learning Analytics & Knowledge (LAK’24)

Mohammad Nehal Hasnine, Ho Nguyen Tan, Gökhan Akçapınar, Ryugo Morita, and Hiroshi Ueda

Developing Taskcave system for task-based language teaching: Teachers monitoring how students learn outside classroom

KES 2024 · Jan 1, 2024 Paper

Accepted in the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024)

Mohammad Nehal Hasnine, Ho Nguyen Tan, and Hiroshi Ueda

A Real-Time Learning Analytics Dashboard for Automatic Detection of Online Learners’ Affective States

Sensor · Mar 2, 2023 Paper

Part of the Special Issue: Advances of Sensors and Human-Centered Intelligent Systems in Education

Mohammad Nehal Hasnine, Ho Tan Nguyen, Thuy Thi Thu Tran, Huyen T. T. Bui, Gökhan Akçapınar, and Hiroshi Ueda

Briefing and Geovisualizing on International Practices of Learning Analytics in Higher Education

IEEE ICALT 2021 · Apr 13, 2021 Paper

Accepted in the 21st IEEE International Conference on Advanced Learning Technologies (ICALT 2021)

Hiroshi Ueda, Ho Tan Nguyen, Huyen T. T. Bui, Thuy T. Tran, H. Hatakeyama, and M. Nehal Hasnine

Can Sakai Log Data Improve Learning Analytics? Findings from a Preliminary Survey

Education and Learning Support Information System Research Presentation – Information Processing Society of Japan · Mar 24, 2021 Paper

Presented in 33rd Education and Learning Support Information System Research Presentation – Information Processing Society of Japan

M. Nehal Hasnine, Ho Tan Nguyen, Huyen T. T. Bui, Thuy T. T. Tran, H. Hatakeyama, and H. Ueda

Students’ emotion extraction and visualization for engagement detection in online learning

KES 2021 · May 27, 2021 Paper

Accepted in the 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021)

M. Nehal Hasnine, Huyen T. T. Bui, Thuy T. T. Tran, Ho Tan Nguyen, Gökhan Akçapınar, and Hiroshi Ueda

Projects

speedDeblur GIF

SPEEDBLUR

A Framework to speed up CNN-based Deblurring for HEVC compressed video

View project >
moemo GIF

MOEMO

Student Engagement Detection in online class

View project >
thesis GIF

EyeTeck

People Search in surveillance cameras network

View project >