News

Ethan Mann Receives 2021 Henry Ford II Scholar Award

05-10-21

Computer science student Ethan Mann, advised by Adam Blank, Teaching Assistant Professor of Computing and Mathematical Sciences, is one of four recipients of the 2021 Henry Ford II Scholar Award. Ethan is interested in machine learning and systems programming, and he enjoys taking technical classes that blend theory and coding. Last year, he researched with Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, to model the trajectory of the COVID-19 pandemic with artificial intelligence. He has also interned at the Big Memory startup MemVerge and researched efficient metasurface lens simulation with Sunil Golwala, Professor of Physics and Director of the Caltech Submillimeter Observatory, and Jack Sayers, Research Professor of Physics. This summer, Ethan will be interning at Facebook as a software engineer, and he looks forward to working in the technology industry after graduating. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.

Tags: honors CMS Henry Ford II Scholar Award Yaser Abu-Mostafa Adam Blank Ethan Mann

AI-Driven COVID-19 Model Outperforms Competitors

11-30-20

While existing models to predict the spread of a disease already exist, few, if any, incorporate artificial intelligence (AI). Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, is using a new model for predicting COVID-19's impact using AI and it dramatically outperforms other models, so much so that it has attracted the interest of public health officials across the country. "AI is a powerful tool, so it only makes sense to apply it to one of the most urgent problems the world faces," says Yaser Abu-Mostafa. [Caltech story]

Tags: EE research highlights CMS Yaser Abu-Mostafa CNS

AI for a Better Prediction COVID-19 Model

08-25-20

A team of Caltech students, led by Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, have developed a tool to predict the impact of COVID-19 using artificial intelligence (AI). While many models to predict the spread of a disease already exist, few if any incorporate AI, which makes predications based on observations of what is actually happening as opposed to what the model's designers think should happen. AI has the power to discover patterns hidden in data that the human eye might not recognize. [Caltech story]

Tags: EE research highlights CMS Yaser Abu-Mostafa CNS

Alexander Popov Receives 2020 Henry Ford II Scholar Award

06-30-20

Computer science student Alexander Popov, advised by Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, is a recipient of the 2020 Henry Ford II Scholar Award. Some of the most interesting classes that Alexander has taken at Caltech have been team-based interdisciplinary project classes. These classes have allowed him to gain experience working in teams with varying specialties, while designing and implementing interesting projects (for example, a robot arm designed to recognize users’ hand gestures and assist them in executing complicated drawing-related tasks, such as exactly copying an area of a whiteboard). This summer he will be working as a software engineer at Facebook. After graduation, he aims to work at a company where he is able to further develop his knowledge of machine learning and the application thereof. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.

Tags: EE honors CMS Henry Ford II Scholar Award Yaser Abu-Mostafa Alexander Popov

Undergraduate Students Win International Data Science Competition

04-19-19

Undergraduate students Hongsen Qin, Emma Qian, Thomas Hoffmann, and Alexander Zlokapa (advised by Professors Aaron Ames, Erik Winfree, Jonathan Katz, Maria Spiropulu, and Yaser Abu-Mostafa) have won the Citadel Data Open International Data Science Competition. This winning team chose to investigate the optimal way to spend $1 billion to save lives from malaria and sanitation-related diseases, allocating funds for different prevention methods and optimizing budget breakdowns country by country. To quantify the socioeconomic impacts of their policy proposal, they modeled a variety of aspects from mosquito feeding cycles to climate change using techniques ranging from causal discovery methods to interpretable machine learning. The Caltech team was among 24 teams that were evaluated and questioned by a panel of experts including the former Chief Scientist of AI at Microsoft, a Princeton professor, and the chief of equities at Citadel. The Caltech team was chosen as the first place winner based on the depth, rigor, and comprehensiveness of their analysis.

Tags: EE honors CMS Erik Winfree Yaser Abu-Mostafa Aaron Ames Hongsen Qin Emma Qian Thomas Hoffmann Alexander Zlokapa

Machine Learning Online Course With Live Lectures

03-30-12

Yaser S. Abu-Mostafa, Professor of Electrical Engineering and Computer Science, will be delivering lectures for his Learning From Data class live on Caltech's Ustream channel beginning April 3, 2012."The idea is that if people in the furthest reaches of the world want to learn the material and have the discipline to go through it, we are giving them the opportunity to experience this course in real time," Abu-Mostafa says. "We will be interested to see how this experiment goes." [Caltech Feature]

Tags: EE CMS Yaser Abu-Mostafa