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Yaser Abu-Mostafa
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Home  /  People  /  Yaser S. Abu-Mostafa

Yaser S. Abu-Mostafa

Professor of Electrical Engineering and Computer Science
B.Sc., Cairo University, 1979; M.S.E.E., Georgia Institute of Technology, 1981; Ph.D., Caltech, 1983. Garrett Research Fellow in Electrical Engineering, 1983; Assistant Professor, 1983-89; Associate Professor, 1989-94; Professor, 1994-.
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machine learning, artificial intelligence, neural networks, computational finance, probability and statistics

Overview

Medical Applications of Artificial Intelligence

Our current research focus is the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques to enable medical applications that were not possible before. We have 3 active projects:

(1) We use ultrasound technology to measure the absolute arterial blood pressure non-invasively without the need for any calibration. This research has already led to a device that can produce the full waveform of blood pressure accurately, not just the systolic and diastolic values. AI was employed to make the measurement accurate, robust, and adaptive.

Yaser Research Overview Figure 1
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Yaser Research Overview Figure 1
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(2) We use AI to detect Congestive Heart Failure and other conditions based on videos of the so-called sniff test in Medicine. This is an ongoing collaboration with UCSF based on the largest annotated data set of its kind.

Yaser Research Overview Figure 2


(3) We are in the early phase of a project on detecting mini clots in the bloodstream non-invasively based on a Caltech patent. The results would lead to prediction of impending stroke before it actually takes place, thus allowing preventive and mitigative intervention.

Yaser Research Overview Figure 3
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Yaser Research Overview Figure 3
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In all of these projects, ML is an essential technology to deal with the realities of the human body that do not fit idealistic assumptions or lend themselves to conclusive mathematical analysis.

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Publications

View more publications on feeds.library.caltech.edu

Related Courses

2022-23
CS/CNS/EE 156 ab – Learning Systems
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