Optimization, Machine learning, Industrial engineering & automation
"There’s nothing I believe in more strongly than getting young people interested in science and engineering, for a better tomorrow, for all humankind." - Bill Nye
Hosted by Professor El Ghaoui
Professor Laurent El Ghaoui, Dean, College of Engineering and Computer Science, Vin University.
Prof. El Ghaoui graduated from Ecole Polytechnique (Palaiseau, France) in 1985, and obtained his PhD in Aeronautics and Astronautics at Stanford University in March 1990. After a stint in various schools in France, he joined the UC Berkeley EECS faculty in 1999. Since January 2022, El Ghaoui is on leave to serve as the Dean of the College of Engineering and Computer Science at VinUni.
Prof. El Ghaoui has over 30 years of experience in the field of optimization, a transversal field focused on mathematical decision models that can describe the operations of a refinery, a power plant, irrigation systems, an autonomous car, a financial trading system, or the evolution of a disease. Optimization is also a key technology in machine learning and statistics, for example to formalize how complex prediction models such as deep neural networks can learn from data. El Ghaoui’s research focuses on optimization under uncertainty, and he was one of the creators of a powerful technique called robust optimization.
With nearly 60,000 citations on Google Scholar, El Ghaoui has achieved an high h-index of 58, and was listed among the world’s top 2% most cited scholars across all scientific disciplines according to PLOS Biology (2020), with a rank of 0.3% in the field of Industrial Engineering & Automation. El Ghaoui is the recipient of various awards, including a SIAM optimization prize.
Prof. El Ghaoui is passionate about working with enterprises to solve real-life issues, through consulting projects in energy management, advertising, finance; or through his involvement in startups such as Kayrros, a Paris-based company that delivers real-time monitoring to energy markets using data such as satellite images. El Ghaoui is frequently invited to be a guest speaker at events held by Twitter, Google, Amazon, Exxon, Walmart, and many other companies and institutions, on the topic of optimization and machine learning.
Optimization, Machine learning, Industrial engineering & automation
"There’s nothing I believe in more strongly than getting young people interested in science and engineering, for a better tomorrow, for all humankind." - Bill Nye
Latest Highlights
In this section, we highlight a few recent research papers or scientific events that represent an important novel trend in the general area of artificial intelligence (AI), with a focus on machine learning and decision systems and novel applications of AI in key application areas. Specifically, this month presents an NLP approach to medical text analysis, the use of Reinforcement Learning in optimizing Smart charging strategy for EVs, and finally a unifying survey on improving NLP models’ robustness.
Editor(s):
ThinkML
First published:
2022
Category:
Article
Top Emerging Computer Vision Trends 2022
Artificial Intelligence
Editor(s):
Sally Ward-Foxton
First published:
2022
Category:
Article
A Shift in Computer Vision is Coming
Artificial Intelligence
Editor(s):
Colin Barnden
First published:
27/08/2021
Editor(s):
Ed Seng
First published:
20/04/2022
First published:
24/03/2022
“Chat with Laurent” about Optimization
Businesss Model
Leadership
Optimization
Editor(s):
Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
First published:
November 9, 2021
DOI:
https://doi.org/10.48550/arXiv.2111.05177
ON TRAINING IMPLICIT MODELS
Artificial Intelligence
Data science
Machine learning
Editor(s):
Shaojie Bai, Zico Kolter, Vladen Koltun
First published:
September 3, 2019
DOI:
https://doi.org/10.48550/arXiv.1909.01377
DEEP EQUILIBRIUM MODELS
Artificial Intelligence
Data science
Editor(s):
Laurent El Ghaoui et al.
First published:
September 16, 2021
DOI:
https://doi.org/10.1137/20M1358517
IMPLICIT DEEP LEARNING
Artificial Intelligence
Machine learning
Editor(s):
Marafino et al.
First published:
Dec 7, 2018
DOI:
10.1001/jamanetworkopen.2018.5097
Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data
Artificial Intelligence
Machine learning
Editor(s):
Felix Tuchnitz, Niklas Ebell, Jonas Schlund, Marco Pruckner
First published:
1 March 2021
DOI:
https://doi.org/10.1016/j.apenergy.2020.116382
Development and Evaluation of a Smart Charging Strategy for an Electric Vehicle Fleet Based on Reinforcement Learning
Artificial Intelligence
Machine learning
Foundational Knowledge
In this section, we provide foundational references to various fields of AI, including but not limited to machine learning, deep learning, optimization, and robotics. For this month, we shall take a deep dive into optimization, including linear, nonlinear and convex programming, as well as nonconvex and nonsmooth problems and also games and stochasticity.
Editor(s):
Ian Goodfellow, Yoshua Bengio, Aaron Courville
First published:
2016
DEEP LEARNING
Artificial Intelligence
Data science
Machine learning
Editor(s):
Johannes O. Royset, Roger J-B Wets
First published:
2021
An Optimization Primer
Machine learning
Editor(s):
Xuezhi Wang, Haohan Wang, Diyi Yang
First published:
15 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Artificial Intelligence
Data science
Machine learning