Embedded Files
Focus areas
Focus areas
Smart Grids · Power Electronics · Energy Storage · Electric Mobility · Smart Charging · Wireless Power Transfer · Autonomous Energy Systems · Artificial Intelligence · Digital Twins · Cyber-Resilient Energy Systems
Smart Grids · Power Electronics · Energy Storage · Electric Mobility · Smart Charging · Wireless Power Transfer · Autonomous Energy Systems · Artificial Intelligence · Digital Twins · Cyber-Resilient Energy Systems
Directed by Dr. Nguyen Phi Long, the Intelligent Grid & Energy Systems Laboratory (GRIDMIND Lab) conducts interdisciplinary research on intelligent electric vehicle charging infrastructures and sustainable energy systems. The team focuses on leveraging optimization, deep reinforcement learning, game theory, and data-driven operation to advance smart EV charging and vehicle-to-grid services, renewable energy integration in smart grids, and the coordination of power electronics and battery energy storage systems. This work extends to wireless power transfer and mobile charging robotics, smart energy communications and energy IoT, digital twins for energy systems, and cybersecurity for smart energy infrastructure. We develop enabling technologies for AI-driven energy management and smart charging control, evaluate their theoretical and operational performance, build advanced simulation, digital-twin, and decision-making frameworks, and demonstrate scalable solutions for efficient, reliable, secure, and sustainable EV charging services in modern power and transportation systems.
Announcement
Announcement
We are always looking for highly motivated students and researchers to join our lab, including undergraduate students, Master’s students, PhD students, and research interns/assistants. Candidates with strong interests in energy, power electronics, smart grids, EVs, AI, communications, robotics, digital twins, or cybersecurity are encouraged to contact Dr. Long with a brief CV/resume.
Dr. Nguyen Phi Long
School of Electrical and Electronic Engineering
Hanoi University of Industry, Vietnam
Affiliated Research Scientist
Center for Environmental Intelligence
VinUniversity, Vietnam
Email: long.nguyen04@haui.edu.vn
TEL: +84-981188820
Google Scholar: https://scholar.google.com/citations?user=U0wdH2oAAAAJ&hl=en
Scopus: https://www.scopus.com/authid/detail.uri?authorId=58043918400
Linkedin: https://www.linkedin.com/in/nguyen-phi-long-41063b61/
🚜 Co-Founder@Volterra Startup - AI Driven for EV Charging (https://volterra.vn/)
Awards and Honors
Awards and Honors
Best Paper Award | Open Innovation Conference 2024
Optimizing Electric Vehicle Charging with Renewable Energy and Battery Storage for Increased Profitability and Grid Efficiency
Best Paper Award | 2026 10th International Conference on Green Energy and Applications (ICGEA)
Two-Layer MILP–MPC Optimization for Grid-Connected PV–BESS Fast EV Charging Stations
Authors: Anh Nguyen Tuan, Kim Nhat Tran, Cuong Le-The, Cuong Do Danh, Phi Long Nguyen
Sponsors & partners
Sponsors & partners
The GRIDMIND Lab gratefully acknowledges the support of the following organizations
Page updated
Google Sites
Report abuse