Loc Nguyen
User modeling and Adaptive Learning User Modeling Computer Science Statistics Mathematics Education Medicine Poetry adaptive learning Recommender Systems and Techniques Data Mining Algorithms and Applications Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence Information Systems

Educational Journey

Ho Chi Minh City Society for Reproductive Medicine

Doctorate of Statistical Medicine

2016

London Mathematical Society

Post-Doctorate of Mathematics and Statistics

2016

Institute for Systems and Technologies of Information, Control and Communication

Post-Doctorate of Computer Science

2013
Show all 10 education

Experience

Editor-in-Chief

2018 - Present β€’ Adaptation and Personalization (ADP) Journal

Loc Nguyen's Academic Network

Independent Scholar

2017 - Present

AllPoetry

Creative writer

2014 - Present
Show all 24 experience

Editors Role

Editor-in-Chief

Adaptation and Personalization (ADP) Journal

2018 - Present

Lead Guest Editor

Science Publishing Group

2015 -

Professor

International Journal of Applied Mathematics and Machine Learning

2016 -
Show all 4 roles

Affiliations

Royal Statistical Society

Fellow

Member since 2016

Statistics Without Borders - American Statistical Association

Quality Assurance Committee member

Member since 2015

International Engineering and Technology Institute (IETI)

President

Member since 2016

Grants and Awards

GRANT

The book β€œMatrix Algebra and Calculus”

Sunflower Soft Company

2014
GRANT

REM - Regression models based on expectation maximization algorithm

Prof. Dr. Ho, Thu-Hang T.

2018
GRANT

Enhancing recommendation systems performance using highly-effective similarity measures

Zayed University

2020
Show all 15 grants

Research

A New Approach for Modeling and Discovering Learning Styles by using Hidden Markov Model

Global Journal of Human Social Sciences March 25, 2013

Adaptive learning systems are developed rapidly in recent years and the Ò€œheartÒ€ of such systems is user model. User model is the representation of information about an individual that is essential for an adaptive system to provide the adaptation effect, i.e., to behave differently for different users. There are some main features in user model such as: knowledge, goals, learning styles, interests, backgroundÒ€¦ but knowledge, learning styles and goals are features attracting researchersÒ€ℒ attention in adaptive e-learning domain. Learning styles were surveyed in psychological theories but it is slightly difficult to model them in the domain of computer science because learning styles are too unobvious to represent them and there is no solid inference mechanism for discovering usersÒ€ℒ learning styles now. Moreover, researchers in domain of computer science will get confused by so many psychological theories about learning style when choosing which theory is appropriate to adaptive system.