Projects - Center for AI Research

Data-driven Optimization of High-energy Na-ion Battery Materials

Principal Investigators & Key Members:

Phung Thi Viet Bac, PhD

Sodium-ion batteries are a promising alternative to lithium-ion for energy storage and electric mobility. Our research develops sustainable materials for cathodes and anodes, combining experiments with machine learning to optimize performance. We aim to create sodium-ion batteries with energy density and cycle life comparable to lithium-ion.

Drivers of Cost-Effective Resilience: A Household-Level Study in Vietnam

Principal Investigators & Key Members:

Le Duy Anh, PhD

Investigate how Vietnamese households respond to exogenous shocks such as power cuts and property damage by: - Identify the resilience tactics employed, - Assess their cost-effectiveness, - Determine the predictors of this cost-effectiveness

Assessing Environmental Hazards and Vulnerabilities in Underprivileged Communities of the Red River Delta area (Vietnam)

Principal Investigators & Key Members:

Nguyen Thi Mai Lan (Alex), PhD, CFA

This research investigates environmental equity and justice in Northern Vietnam's Red River Delta, focusing on the disproportionate burden of environmental hazards faced by low-income communities. By assessing hazards, vulnerabilities, and contributing factors, the study aims to inform policies that address environmental inequalities and promote justice.

Research and Development of Autonomous EV Chargers Integrating with a Digital Twin System

Principal Investigators & Key Members:

Do Tho Truong, PhD

This project develops autonomous EV chargers with robotic systems and smart grid integration to enhance charging efficiency and grid stability. By using digital twins to optimize urban mobility, it aims to reduce emissions, lower costs, and support a sustainable urban energy ecosystem.

Microbiological Environmental Monitoring Map Construction: A pilot study

Principal Investigators & Key Members:

Huynh Dinh Chien, MD, MEd, MPH, PhD, Prof.

This project analyzes pathogenic microbes, particulate matter, and the physico-chemical properties of air and wastewater at Vinhomes Ocean Park 1 to create an open-access environmental monitoring map. By addressing Vietnam's air quality challenges, it offers a model for disease prevention and improved quality of life.

An advanced AI-enabled HVAC control system: Towards greener and healthier indoor facilities in Vietnam

Principal Investigators & Key Members:

Le Duy Dung

Heating, Ventilation, and Air Conditioning (HVAC) systems are crucial for indoor air quality but are energy-intensive. This project develops V-IndoorSMART, an AI-driven platform that optimizes HVAC operations in multi-user facilities, ensuring occupant comfort, energy efficiency, and pollutant control.