About us

The Center for Environmental Intelligence (CEI) at VinUniversity represents a pioneering initiative at the intersection of advanced technology, environmental science, and interdisciplinary research. CEI’s mission, structure, and ongoing projects and its innovative approach addresses critical global sustainability challenges.

About VINUNIVERSITY

Environmental Monitoring

Environmental Monitoring

Living Lab

Living Lab

Materials Science

Materials Science

CEI Advisory Board

Our Projects

Researching and developing advanced technologies to optimize natural resource management and mitigate the impacts of climate change.

Digital Twin Platform to Empower Communities towards an Eco-friendly and Healthy Future

Digital Twin Platform to Empower Communities towards an Eco-friendly and Healthy Future

Principal Investigators & Key Members:
Nguyen Ngoc Doanh, PhD
Urban development in Vietnam and other developing countries has increased greenhouse gas emissions. This research uses AI and ML to create digital twins of transportation and air quality, simulating policy scenarios to promote sustainable transportation. The goal is to develop policies encouraging shifts to electric vehicles, transit, and ridesharing, using real-time congestion pricing to reduce pollution and congestion.
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Data-driven Optimization of High-energy Na-ion Battery Materials

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.
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Advancing Sustainable Electric Vehicle Charging through Green Infrastructure and Smart Charging Techniques

Advancing Sustainable Electric Vehicle Charging through Green Infrastructure and Smart Charging Techniques

Principal Investigators & Key Members:
Do Danh Cuong, PhD.
In today's world, increasing greenhouse gas emissions pose a threat due to global warming. To combat this, transitioning from fossil fuel vehicles to electric vehicles (EVs) is crucial. However, as EV numbers rise, so does energy demand on the grid, causing potential issues. This study proposes renewable EV charging stations to mitigate grid challenges.
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Green Serverless Computing for Resource-Efficient AI Training

Green Serverless Computing for Resource-Efficient AI Training

Principal Investigators & Key Members:
Kok-Seng Wong, PhD
As AI demand grows, there is a need for sustainable computation solutions for AI model training. Traditional servers consume significant energy, raising environmental and cost concerns, while serverless computing offers on-demand, scalable resources. This research explores using serverless computing to optimize AI training by reducing energy consumption and resource use.
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Smart Functional Textiles for the Environment

Smart Functional Textiles for the Environment

Principal Investigators & Key Members:
Nguyen Dang Tung, PhD
This research focuses on creating fibers and textiles that function as portable devices for sensing, energy generation, and storage. The goal is to develop solar textiles capable of powering IoT devices, reducing reliance on traditional power sources. Additionally, flexible sensing textiles will be used for environmental monitoring, such as water pollution detection.
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Development of Energy-efficient Perovskite Light-emitting Diodes and Solar cells

Development of Energy-efficient Perovskite Light-emitting Diodes and Solar cells

Principal Investigators & Key Members:
Le Van Quynh, PhD
This project develops next-generation LEDs and flexible solar panels for energy efficiency using emerging semiconductor materials. It focuses on creating real renewable energy devices. VinUni students gain exposure to advanced technologies in various engineering fields.
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Carbon Stock Estimation and Biodiversity Assessment in Vietnam Forests using Remotely Sensed Data and Deep Learning Neural Networks

Carbon Stock Estimation and Biodiversity Assessment in Vietnam Forests using Remotely Sensed Data and Deep Learning Neural Networks

Principal Investigators & Key Members:
Nidal Kamel, PhD.
Estimating carbon stocks is vital for understanding the Earth's carbon cycle and guiding climate change mitigation efforts. By quantifying carbon in forests, soil, and oceans, scientists and policymakers can make informed decisions on land use and conservation. Accurate estimates are also key to ensuring the credibility of carbon offset projects.
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Our people

At CEI, we bring together the brightest interdisciplinary minds to deliver our mission: develop state-of-the-art sensing and digital technologies to address environmental challenges and sustainable development. Our Faculty, Environmental Experts, Research Fellows, PhD Students, and Research Assistants are all working together to develop widely applicable tools for environmental monitoring, resource management, and ecological data analysis.
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Laurent El Ghaoui, Scientific Director

Laurent El Ghaoui

Vice Provost of Research & Innovation, VinUniversity
Dean, College of Engineering and Computer Science, VinUniversity

Scientific Director

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Phung Thi Viet Bac, PhD

Phung Thi Viet Bac, PhD

Head of Research Administration
College of Engineering & Computer Science (CECS), VinUniversity

Executive Director

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Nguyen Ngoc Doanh

Nguyen Ngoc Doanh, PhD

Associate Professor, Mathematics
College of Engineering and Computer Science

Project: Digital Twin Platform to Empower Communities towards an Eco-friendly and Healthy Future

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Nguyen Dang Tung

Nguyen Dang Tung, PhD

Assistant Professor, Mechanical Engineering program
College of Engineering and Computer Science

Project: AI for Materials Discovery

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Nidal Kamel

Nidal Kamel, PhD.

Associate Professor, Electrical Engineering program
College of Engineering and Computer Science

Project: Carbon Stock Estimation and Biodiversity Assessment in Vietnam Forests using Remotely Sensed Data and Deep Learning Neural Networks

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Hieu Pham

Hieu Pham, PhD.

Assistant Professor, College of Engineering and Computer Science
Academic Director, VinUni Entrepreneurship Lab

Project: 360o View of Air Pollution

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Do Danh Cuong

Do Danh Cuong, PhD.

Assistant Professor, Electrical Engineering program
College of Engineering and Computer Science

Project: Advancing Sustainable Electric Vehicle Charging through Green Infrastructure and Smart Charging Techniques

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Do Danh Cuong

Center for Environmental Intelligence
Call for Applications for Research Assistants

  • Work with faculty and research fellows
  • Solve high-impact real-world problem
  • Drive Innovation Through Funding Opportunities
  • Participate in national and international conferences
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News and events

Symposium on Electrochemical and Organic Materials – SECOM 2024
Nov
23

Symposium on Electrochemical and Organic Materials – SECOM 2024

Events
Nov
01

VinUni and PECC2 Forge Partnership to Advance Innovation in Sustainable Energy

News
Oct
23

Franconomics 2024: A High-Level Forum on Renewable Energy Cooperation Between France and Vietnam

News
Oct
23

Machine learning for Earth Observation

Events
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CEI Blog

Electricity generation from clean sources: Key solution to achieve net-zero emissions
CEI / Sep 12, 2024

Electricity generation from clean sources: Key solution to achieve net-zero emissions

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Convergence of CO2 emissions in OECD countries
CEI / Sep 12, 2024

Convergence of CO2 emissions in OECD countries

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Carbon Market heating up: How to Invest
CEI / Sep 12, 2024

Carbon Market heating up: How to Invest

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Green Ammonia: The Sustainable Revolution in the Chemical Industry and Energy Storage
CEI / Sep 12, 2024

Green Ammonia: The Sustainable Revolution in the Chemical Industry and Energy Storage

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