Our Team

Meet the Researchers

One director, one research lead, and three research groups united by AI for science.

9
Total Members
3
Research Groups
3
Bioinformatics
3
Time Series
NN
Lab Director

Nguyen Nhat Hai

PhD and Lecturer

Lab Director of AppliedAI-Lab. His research focuses on Generative AI and Large Language Model applications, bridging cutting-edge AI research with practical scientific discovery.

Generative AI
Large Language Model Application
Oversees:BioinformaticsTime SeriesMaterials
NT
Research Lead

Nguyen Thu

AI Researcher & Nvidia Instructor

Research Lead at AppliedAI-Lab and certified Nvidia Deep Learning Instructor. Specializes in Generative AI and Large Language Model applications, coordinating cross-team research initiatives.

Generative AI
Large Language Model Application

AI for Bioinformatics

3 researchers

Structural biology, computer-aided drug design, and generative AI applied to molecular discovery and predictive bioinformatics tasks.

NT

Nguyen Tan Khanh

Researcher, Dong A University & University of Zaragoza, Spain

Structural Biology
Computer-Aid Drug Design
PT

Pham Thi Khanh Huyen

Researcher, Dongguk University, Korea

Structural Biology
Computer-Aid Drug Design
LM

Luong Manh Tu

AI Engineer, Vinsmart Future

Computer Vision
Generative AI

AI for Time Series

3 researchers

Foundation models, large language models, and generative approaches for time series forecasting, spatio-temporal analysis, and sequential data understanding.

TX

Truong Xuan Thong

Computer Science Student

Time Series
Large Language Models
NK

Nguyen Khac Thai Binh

Viettel R&D Researcher

Time Series
Large Language Models
LT

Le Trung Kien

Computer Science Student

Spatio-Temporal Forecasting
Large Language Models

AI for Materials

1 researcher

AI-driven material discovery and design for practical applications — thermal management, stealth materials for defense, and functional materials for biosensors.

HL

Huu Lam Phan

Researcher, Gwangju Institute of Science and Technology (GIST)

Metasurface
Metamaterial