Fung Institute for Engineering Leadership

Capstone Program: MEng

MEng

Evaluation of Novel, Less-Invasive Hip Implants

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Team: Wenqi Fan (MSE), Moriah Garcia (BIOE), Bianca Riello (BIOE), Jeremy Wan (BIOE) Advisor: Grace O’Connell (ME) Over 370,000 total hip arthroplasties are performed annually with 70,000 revision surgeries being performed each year. Surgeons at UCSF VA Medical Center Department of Orthopedic Surgery who perform these procedures daily believe that it is worth investigating the… Read More »

Transportation Strategies for Smart Cities

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Team: Yuet Man Kan (CE), Tanat Vanichpipat (CE), Evan Christianson (CE), Pei-Wen Hu (CE), Eindra Aung (CE), Sushmitha Sree Gumireddy (CE), Cong Luo (CE) Advisor: Alexander Skabardonis (CE) Commuters everywhere experience frustration and delays due to traffic congestion. Dense urban areas such as San Francisco create the largest problems. The general solution is to expand… Read More »

[Zendar] Developing an Affordable Alternative for Autonomous Vehicle Localization using High-Definition Radar Images

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Team: David Scanlan (IEOR), Pierre-Louis Blossier (ME), Johan Gerfaux (IEOR), Bowen Wang (ME) Advisors: Jimmy Wang (Zendar), Lou Ggraniou (Zendar), Gabriel Gomes (ME) Localization of autonomous vehicles on the road currently relies on LiDAR (using lasers) and camera sensors which simultaneously map the environment around the car. Using high-definition radar images, we propose an algorithm… Read More »

[xPing / Ripple] Historical Analysis for Live Anomaly Detection on Ripple’s Blockchain

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Team: Ravi Bhandia (IEOR), Charles Garnot (CEE), Yijun Liang (IEOR), Fuhua Liu (IEOR), Francesco Piccoli (IEOR), Salome Schwarz (CEE), Yuyang Zhao (IEOR) Advisors: Doug Purdy (xPring / Ripple), Paul Grigas (IEOR) Since 2017, the beginning of speculation over cryptocurrencies, price volatility has become a barrier for daily use of cryptocurrencies, including Ripple’s XRP. In order… Read More »

[UCSF] Information Extraction from Unstructured Clinical Notes Using Natural Language Processing (NLP)

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Discovering Inaccurate Extracted Information from Unstructured Clinical Notes Using Natural Language Processing Team: Lengning Wei (BIOE), Marcel Schaack (BIOE), Chloe Kim (BIOE) Advisors: Gundolf Schenk (UCSF), Gabriel Gomes (ME) Despite the development of medical records systems, there is no precise technology for large-scale information extraction, public health research and precision medicine. We designed a reliable… Read More »

[Evolution Devices] Personalizing Neurological Patient’s Gait Therapy Using Machine-Learning-Based Electrical Stimulation

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Team: George Durrant (BIOE), Elie Celnikier (BIOE), Rongbo Zhou (ME) Advisors: Pierre Karashchuk (Evolution Devices), Aashyk Mohaiteen (Evolution Devices), Gabriel Gomes (ME) Neurological damage such as stroke, multiple sclerosis, and spinal cord injury cause walking impairments. The EvoCode team is improving the EvoWalk, a medical device developed by Evolution Devices, which corrects abnormal gait patterns… Read More »

[Evolution Devices] Wearable Motion Tracking for Clinical Gait Analysis

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GaitTrac, providing wireless, real-time gait analysis for clinical gait diagnosis through seven custom motion sensors Team: Ross Schneider (ME), Anisha Basu (BIOE), Hayley Boyd (BIOE) Advisors: Juan Rodriguez (Evolution Devices), Andrew Ekelem (Evolution Devices), Gabriel Gomes (ME) A third of people over the age of 60 suffer from impaired gait, which leads to loss of… Read More »

[Arris Composites] Optimizing the Design and Manufacturing of Aligned Carbon Fiber

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From Porsche to your pocket: bringing carbon fiber to the masses Team: Paul Ceralde (MSE), Arnaud Dyen (ME), Harsh Raj Chauhan (ME), Juan Pablo Viaux (ME), Michelle Satkin (IEOR), Somsakul Sombon (IEOR) Advisors: Scott Perkins (Arris Composites), Matthew Sherburne (MSE) In 1855, a process for inexpensively manufacturing aluminum was developed, and the price dropped from… Read More »

Bipedal Robotic Locomotion

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Cassie Moves Autonomously Team: Jonathan Rogers (ME), Bike Zhang (ME), and Shuxiao Chen (IEOR) Advisors: Koushil Sreenath (ME) In the field of robotics, legged robot locomotion is one of the hardest problems. We developed a framework for autonomous locomotion. This was accomplished through controllers, path planning, and computer vision. Problem In 2018, California experienced its… Read More »

[Asurion] Improving Customer Experience using Machine Learning

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Get your tech support questions answered faster! Our AI can understand the difficulty & complexity of your inquiries! Team: Felix Ren (IEOR), Jinlin He (IEOR), Zihang Pan (IEOR), Pierre-Louis Missler (CEE), Reehan Shah (IEOR) Advisor: Damien Thoulouse (Asurion), Lee Fleming (IEOR), Alex Beliaev (Fung) A major drawback in tech chat support is that it takes… Read More »