Fung Institute for Engineering Leadership

Industry: Technology

Technology

CalCardiac: Classifying Heartbeats Using Machine Learning

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CalCardiac worked to reduce false hospital alarms due to arrhythmias. Collaborating with the UCSF School of Nursing, the team used various machine learning techniques to create a browser-based utility to view and label ECG waveform images. Capstone Team: Alex Ackroyd, Adam Andrews, Siddhant Issar, Segev Malool, Umesh Thillaivasan, Yuntao Wang. Research in collaboration with Jacob… Read More »

Advanced Mobility Strategies

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The Advanced Mobility Strategies team worked with the San Francisco Municipal Transportation Agency (SFMTA) to implement Transit Signal Priority (TSP), a technology which allows buses to communicate with traffic lights to reduce the number of red lights encountered. Capstone Team: Andrew Chuing, Kris Datta, Thibault Jauffrineau, Alec L’Amoreaux, Hamza Syed Capstone Advisor: Alexander Skabardonis Buses… Read More »

Tensegrity

A Soft Robot

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Project Description Recently there has been growing interesting in the field of soft robotics, which features robots that are flexible yet robust. A Tensegrity robot is a form of soft robot that is comprised of a series of rods under compressional load joined together by cables under tensional load; through proper actuation of those cable it… Read More »

Prosper

Peer-to-Peer Lending

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Objective Our goal is to create value by improving the efficiency of credit risk management and offering users better customer experiences, as well as higher returns. We are implementing innovative machine learning techniques that have not been extensively explored in the context of risk classification. Our team really gained an appreciation of harnessing the differing… Read More »