Fung Institute for Engineering Leadership

Project Type: Faculty Led

Faculty Led

Patent Analysis Using Machine Learning

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The team developed machine learning algorithms to predict the emergence of new patentable technologies related to autonomous vehicles. The team’s insights will enable companies to focus their investments on the most relevant innovations. Team: Ilias Atigui, Eliott Atlani, Djavan De Clercq, Benjamin Tan Advisor: Lee Fleming This project combined natural language processing and machine learning to automatically… Read More »

Neurodetect: On Chip-Biosignal Computation for Health Signal Monitoring

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The team designed an implantable microchip that can detect epilepsy seizures. Combined with electrical stimulation and/or drug delivery, this microchip can stop the onset of seizures before the symptoms appear. Team: Chen Fu, Sherwin Lau, Mary Lee Lawrence, Paul Meyer-Rachner, Jingbo Wu Advisor: Rikky Muller, EECS Department, U.C. Berkeley EPILEPSY IS A DEBILITATING NEUROLOGICAL DISORDER… Read More »

Sanatomics: An Overdue Change for Medical Isotopes

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The team leveraged UC Berkeley High Flux Neutron Generator (HFNG) to produce medical isotopes for diagnosing and treating cancer. These isotopes are cost effective, highly suited for customized oncological treatments, and will also close a gap in the medical supply chain that will be caused by the decommissioning of nuclear reactors. Team: Kelsae Adame, Grace… Read More »

Optimization Planners for a Human-Friendly Robot

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Improved path planning is key for developing robots that will safely operate in homes, providing care and assistance. Instead of using traditional random sampling-based path planners, the team adapted an optimization-based path planner which gives predictable and intuitive path. Robotics have been promised as a solution to elderly care and home assistance, but we still… Read More »

Fault Tolerant Localization in Autonomous Driving

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Project Introduction Many companies today are working on autonomous driving technology. Several players like BMW, Mercedes-Benz, and Tesla have some promising results. But with so many people working on it, why don’t our cars fully drive themselves yet? One of the reasons is that there are many technical challenges to overcome. The challenge that our… Read More »

Machine Learning, Wearable Computing, and Alzheimer’s Disease

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Project Description In the US, Alzheimer’s disease (AD) is the only disease in the top six for which the affected population is growing, and it is the single most expensive disease. One reason is that nursing home costs average over $6,750/month and often continue for 5-20 years. Thus, there is a significant need for technology… Read More »

Numa

A Low-Power System for the Developing World

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Affordable Energy In collaboration with Lawrence-Berkeley National Lab (LBNL), we are developing a low cost iron-salt battery for our Master of Engineering capstone project. We’ve named the battery “Numa,” a combination of the Swahili words for light (nuru) and iron (chuma). Numa would charge cell phones and provide lighting, both of which are essential to… Read More »

Oscillating Wind Powered Device

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Project Description The oscillating wind power project was the brainchild of our industry advisor, Tom Flynn, president of the TSF Group of Marin County. The idea for a non-turbine based wind power device was born from the failure of a group of wealthy Marin landowners to bring traditional wind power devices to Marin. While their… Read More »

Big Data for Manufacturing

How Data Analytics Can Improve Manufacturing

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What We Do The amount of energy used in manufacturing operations today is massive. For instance, did you know that the amount of energy used to manufacture an laptop is equivalent to the amount of energy used by 50 U.S. families over the course of a year? Or that the amount of energy required to… Read More »

Cardiac Regeneration

Injectable Hydrogel

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Project Description Around 20% of people who suffer a heart attack will progress to heart failure within five years due to the damage inflicted to the cardiac tissue. The cardiac regeneration therapy project was focused on preventing the onset of heart failure by further developing an injectable hydrogel with Dr. Kevin Healy, Department of Bioengineering… Read More »