An Dang-Hieu

I'm an AI Engineer at IVS Joint Stock Company in Ho Chi Minh City, where I lead an AI Healthcare team that primarily works on AI projects related to Biomedical domain (Natural Language Processing, Computer Vision, and Signal Processing).

My role at IVS involves conducting research and deploying AI algorithms to production, drafting technical proposals, providing guidance to team members, and strategizing project workflows.

I earned my Master of Engineering in Computer Science at Ho Chi Minh City University of Technology (HCMUT), where I was advised by Prof. Quan Thanh Tho, and a Bachelor of Engineering in Electronics and Telecommunications from the same institution under the supervision of Dr. Nguyen Thanh Tuan.

CV / Email / Github / Scholar / Kaggle / Leetcode / Twitter

Work Experiences

IVS Joint Stock Company
Mar 2023 - Present
AI Engineer · Full-time

Finetuning Large Language Models (LLMs) to build a Vietnamese Chatbot with Medical specific data.
Using Computer Vision for Skin Cancer Diagnosis.
Using Deep Learning for Multi-stage sleep classification.

Career Break
Apr 2022 - Feb 2023
Gap year

I'm back to Ho Chi Minh City University of Technology (HCMUT) to focus my Master's in Computer Science and explore research in Natural Language Processing as well as Machine Learning.
I am a member of the NLP research group at Faculty of Computer Science and Engineering, where our focus is on algorithms in Natural Language Processing advised by Prof. Quan Thanh Tho. I have co-authored my first research publication titled "Literature review and benchmark of Supervised Learning models for social bot detection".

Samsung Electronics HCMC CE Complex
Jul 2019 - Mar 2022
Research and Development Engineer · Full-time

Worked as the sole individual responsible for Indoor LED Signage and Cinema LED Display products, focusing on improving quality, enhancing productivity, reducing process defects, and minimizing costs.

ZTE Corporation
Jul 2017 - Apr 2018
Radio Frequency Engineer · Internship

Worked on optimizing the Third-Generation (3G) network as a part of a project that focused on improving the Vietnamobile telecommunications network in the Southern region of Vietnam.

Research Publications

Supervised learning models for social bot detection: Literature review and benchmark

Hoang-Dung Nguyen, Duc Q. Nguyen, Cong-Duy Nguyen, Phong T. To, Danh H. Nguyen, Huy Nguyen-Gia, Long H. Tran, Anh Q. Tran, An Dang-Hieu, Anh Nguyen-Duc, Tho Quan

Expert Systems with Applications (ESWA), 2024

code / BibTeX

Literature review and benchmark of Supervised Learning models for social bot detection.

Highlight Projects & Competitions

	Vietnamese Receipts Recognition System Builing Vietnamese Receipts Recognition System Open source project, 2023 code
	Twitter Bot Detection Toolkit Building Twitter Bot Detection Toolkit Open source project, 2024 code

Academic Background

Ho Chi Minh City University of Technology (HCMUT)
2022 - 2024

Master of Engineering in Computer Science
GPA: 8.23/10
Advisor: Prof. Quan Thanh Tho
Master's thesis: Graph-based methods for social bot detection.

Ho Chi Minh City University of Technology (HCMUT)
2014 - 2019

Bachelor of Engineering in Electronics and Telecommunications
GPA: 7.06/10
Advisor: Dr. Nguyen Thanh Tuan
Bachelor's thesis: Smart home model control.

Sincerely thank Jon Barron for the template.