General Information

WELCOME TO TUNG KHUAT'S HOME PAGE 

Full name: KHUAT THANH TUNG (In Vietnamese: KHUẤT THANH TÙNG)    Gender: Male

Date of birth: 1991                                                           Place of birth: Quang Nam Province

Hometown: Ha Noi                                                           Race: Vietnamese Kinh

Highest degree: Degree of Engineer                             Major: Information Technology

Graduation year: 2014

Working place: Research Associate at the Data Science Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia

Email: thanhtung09t2@gmail.com         

  

    

External Link:

News

[28/07/2023] Our paper "Practical Implementation of Computationally-efficient Machine Learning-based Control Performance Assessment System for a Class of Closed Loop Systems" was accepted for publication in the Applied Soft Computing journal (IF: 8.7)

[03/06/2022] I were invited to serve as a program committee of ICONIP 2022 

[21/12/2021] I were invited to serve as a reviewer for CEC at IEEE World Congress on Computational Intelligence 2022

[24/08/2021] Our paper "An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network" was published in Neurocomputing (IF = 5.719)

[11/08/2021] Our paper "Random Hyperboxes" was published in IEEE Transactions on Neural Networks and Learning Systems (IF = 10.451)

[20/7/2021] Our paper in IEEE Transactions on Fuzzy Systems entitled "An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network" was selected by editors to appear on CIS Publication Spotlight in CIM Journal

[2/2021] Our paper "Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule" was published in Information Sciences (IF = 6.795)

[2/2021] Our paper "An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network" was published in the IEEE Transactions on Fuzzy Systems (IF = 12.029)

[1/2021] Our survey paper "Hyperbox-based machine learning algorithms: a comprehensive survey" was published in Soft Computing Journal

[7/2020] Our paper in WCCI'20 - IJCNN'20 was awarded a Conference Registration Grant by IEEE CIS for the outstanding student paper.

[12/2019] Our paper was nominated in the Best Paper Award Finalists at ICONIP'19