• Reinforcement Learning 

• Deep Learning for Computer Vision

• Control Algorithms 

• B.E. in Electrical Engineering (Automation Control Major, Talented Program), HCMUT, Ho Chi Minh city, Viet Nam. 2010-2015 (GPA:8.34/10 Top 10 - K2010)  

• M.S. in Electrical Engineering, KAIST, Daejeon, Korea, 2018-2020 (GPA:3.66/4.3)

• Ph.D. in Electrical Engineering, KAIST, Daejeon, Korea,2020-Present (GPA:3.79/4.3 )

• Member of Artificial Intelligence & Machine Learning Lab. (AIM), KAIST, Daejeon, Korea, 2018-Present 

• Programming Languages: C, C++, C++(Qt), Python

• Deep Learning Frameworks: Pytorch, Tensorflow, Keras

• Embedded software programming (C/C++), GUI programming(Qt C++), ROS programming (C++/Python), Deep Learning programming (Python)

• HCMUT excellent student scholarship 2010 - 2015

• Full Kaist Scholarship for Master-PhD program (2018-Present)

• FPT Sofware - Embedded Software Engineer 2014 - 2015

• SCTV - R&D Engineer 2015-2016

• Steinsvik - R&D Engineer 2016-2018 (6 months working in Norway)

• AIM LAB - Full-time Machine Learning Ph.D. Scholarship 2018-Now 

• UAV ground control station (Labview  and C  ) - HCMUT 2014

• AutoSar - Automotive  Hardware Abstraction Layer (C/C++ Embedded Software dev+test) - FPT Software 2014 

• 4K video transmission system - SCTV 2015

• Steinsvik Vision System (C++ for  Cameras, Sensors - QT GUI with QML) - Steinsvik 2016

• Steinsvik Camera Diagnostic Software (RS485 Protocol Dev - RESTful API - QT GUI with QWidget) - Steinsvik 2017

• Aurora Filming Aided System (Motors+ CANopen + Qt GUI with QML) - KFX Technology 2018

• Yaskawa Filming Aided System (Robot + Qt GUI with QWidget) - Libre Technology 2019

• Image Super-Resolution with Deep Learning - KAIST 2018

• Image De-blur with Deep Learning - KAIST 2019

• Image De-hazing with Deep Learning  - KAIST 2019

• Sawyer Reaching with Reinforcement Learning - KAIST 2019

• Robot Arm Pick-Up  - KAIST 2020

• Paper projects KAIST 2019 - now

CONFERENCE & JOURNAL

• Thanh Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung M. Luu, Thang Vu, and Chang D. Yoo. "DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning." IEEE Access 2023

• Tung Luu, Thanh Nguyen, Thang Vu, Chang D. Uoo. Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning - IEEE ACCESS 2022.

• Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Nguyen, Sultan Rizky Madjid, Chang D Yoo. Lad: A hybrid deep learning system for benign paroxysmal positional vertigo disorders diagnostic - IEEE ACCESS 2022.

• Thang Vu, Kookhoi Kim, Tung M. Luu, Thanh Nguyen, Chang D. Yoo. SoftGroup for 3D Instance Segmentation on Point Clouds- CVPR 2022.

• Thanh Nguyen, Tung Luu, Thang Vu and Chang D. Yoo. Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model IROS 2021.

• Thanh Nguyen et al Chang D. Yoo. Robust MAML: Prioritization task buffer with adaptive learning process for model agnostic meta-learning - International Conference on Acoustics, Speech, and Signal Processing ICASSP 2021.

• Thanh Nguyen, Tung Luu, Thang Vu, Chang D. Yoo. A pre-training framework for learning feature representation in visual observation reinforcement learning - Theieie 2021 

• Thanh Nguyen, Chang D. Yoo. A survey on meta-learning - KAIA 2020.

• Thanh Nguyen, Chang D. Yoo. GAN-based image de-hazing with U-net based cascaded generator and multiple discriminators - Samsung Human Tech 2020.

• Thanh Nguyen, Hieu Nguyen, Chang D. Yoo. GDCA-GAN based single image super-resolution with dual discriminators and channel attention - Korean Artificial Intelligence Association KAIA 2019.

WORKSHOP

• Thanh Nguyen, Tung Luu, Chang Dong Yoo.  Fast and Memory-Efficient Uncertainty-Aware Framework for Offline Reinforcement Learning with Rank One MIMO Q network - The Workshop on Policy Learning in Geometric Spaces, IEEE IROS 2023

• Thanh Nguyen, Tung Luu, Chang Dong Yoo.  Towards Robust Robot Perception Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses - The Workshop on Learning by Asking for Intelligent Robots and Agents, IEEE ROMAN 2023

• Thanh Nguyen, Heesuk Yoon, Eunseop Yoon, Chang Dong Yoo. Reducing Object Hallucination for Image Captioning using Large Vision-Language Models with Reinforcement Learning - The Workshop on Learning by Asking for Intelligent Robots and Agents, IEEE ROMAN 2023