Fung Institute for Engineering Leadership

Project Year: 2017-18

2017-18

Next Gen 3D Printer Materials

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As 3D printing technology becomes increasingly more important, users' demand for 3D printing material has also become more complex. The team designed and produced a newly-fashioned 3D printing filament material (PLA + Carbon Fiber) at a lower overall operational cost with sustainability and also developed the industrial application of this new material. Team: Johann Chow
,… Read More »

Nanoscale Manufacturing

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The team evaluated opportunities for fabricating electronic devices using a new exfoliation process, called "Covalent Bond Exfoliation." They sought to apply this method to transfer 2D materials reliably and manufacture heterostructure devices massively to make impacts to the society. Team: Shu-Ting Ko, Nai-Wen Hu, Jing Chao Yang Advisors: Daryl Chrzan, Joel Ager, Ali Javey, Hayden… Read More »

QuickFlash

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The team developed manually controlled transition lenses to help workers who need safety eyeglasses to adjust the shade of their lens and protect their eyesight. Team: York Chen, Xing Lin, Runqi Wang, Runlin Wang, Egan Felgus, Ruihan Guo, Jeff Lin Advisor: Prof. Junqiao Wu Problem Workplace Eye Injury According to the Industrial Safety & Hygiene… Read More »

AR for Stretchable Electronics

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The team developed a pathway to use Samsung’s stretchable electronics technology as a peripheral for Augmented Reality. The device gives users the capability to enter text and control an operating system using subtle and discrete hand motions. Team: Michael Oudenhoven, Ashis Ghosh, Purva Juvekar Advisors: Prof. Alice Agogino| Prof. Euiyoung Kim By utilizing human-centered design… Read More »

Self-Driving E-Bike Design

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Bike-sharing programs such as Citibike and Ford Gobike require rebalancing operations that are highly manual-intensive and costly. The team designed self-driving E-bikes that can automatically balance themselves, decreasing the operating cost of bike-sharing programs. Team: Min Kim, Robert Ou, Ivan Xia Advisor: Prof. Seth Sanders Self-driving bikes can make bike-sharing program more efficient. Bikes can be… Read More »

Energy Impact of Autonomous Vehicles

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The team worked with GM to quantify the energy savings attainable through the introduction of autonomous vehicles (AVs) onto U.S. roadways. They developed a data model that estimated energy usage for human-driving trips and compared it with that for AV trips. Team: Paaras Agrawal, DevinaJain, Tay Jia Xi, Sarah Leong, Sai Kannan Sampath, Karl Schmidt… Read More »

The Million Hands

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Over 200,000 upper limb amputees lack access to customizable, functional, and low-cost prostheses. The Million Hands team designed a selection of body-powered and electrically-powered prostheses, all under $500. Team: Aashish Bhardwaj, Sina Dabiri, Jose Ramirez, Meng-Hsuan Lee, Jacqueline Nguyen Advisor: Alice Agogino An Online Open Source Platform As a newly formed group in 2017, we set out to assess user… Read More »

Design By Morphing

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Design-by-Morphing is a tool that finds the optimal design for objects considering their aerodynamic, hydrodynamic, thermal, and/or structural performance. The team worked to bring this tool to market and to find new applications, industries and partners. Team: Nelly Alandou, Robert Hu, Caroline Jeria, Darshan Mehta, Maitreya Patel Advisor: Philip Marcus Reinventing Design Optimization With Machine… Read More »

Precision Healthcare Analytics

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The team used machine learning to discover correlations between various lifestyle behaviors and two chronic illness: depression and cognitive dysfunction. They found a way to identify these diseases early on, and to provide recommendations for lifestyle changes in order to lessen their debilitating effects. Team: Herbreteau Eléonore, Papanikolaou Vasileios, Ramesh Kapilesh, Shi Yiyu, Vyas Arpit… Read More »

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 »