Professor

Laurent El-Ghaoui

Affiliation: VinUniversity, Hanoi, Viet Nam

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Citations

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Introduction

Laurent El Ghaoui obtained his PhD at Stanford University in 1990, and held appointments at the Ecole National Superieure de Techniques Avancees (ENSTA, now part of Institut Polytechnique de Paris) and University de Paris La Sorbonne. In 1999, he joined the EECS department at UC Berkeley, where he became full professor, with appointments in IEOR and the Haas Business School. An expert in optimization and machine learning, he co-authored several books (including “Financial data Science” with Cambridge University Press) and more than a hundred of publications, with more than 60,000 citations on Google Scholar. In 2022, he joined VinUniversity in Vietnam, as Vice-Provost of Research and Innovation and Dean of Engineering and Computer Sciences. Laurent is also a co-founder of Kayrros SAS, which develops environmental intelligence solutions.

Affiliation: VinUniversity, Hanoi, Viet Nam

Research Output

Strategic EV Charging Optimization Using Stackelberg and Non-Cooperative Game Models for Cost Efficiency and Profit Maximization with Renewable Energy and Battery Storage

  • Battery energy storage system
  • Electric vehicle
  • Non-cooperative game theory
  • Photovoltaic
  • Small wind turbine
  • Stackelberg game

Learnable features for predicting properties of metal-organic frameworks with deep neural networks

Nguyen Van-Quyen, Le Phuoc-Anh, Nguyen Phi Long, Pham Tien-Lam, Bac Phung Thi Viet, Novoselov Kostya S., El Ghaoui Laurent
  • density functional theory
  • DFT
  • machine learning
  • materials informatics
  • metal-organic frameworks
  • MOFs
  • neural network model

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Keyphrases

  • Battery energy storage system
  • Electric vehicle
  • Non-cooperative game theory
  • Photovoltaic
  • Small wind turbine
  • Stackelberg game
  • density functional theory
  • DFT
  • machine learning
  • materials informatics
  • metal-organic frameworks
  • MOFs
  • neural network model

Computer Science

  • Economics and Econometrics