Master of Engineering 2024
Yaa Achampong
Saud Alfakhri
Michelle Barth
Meredith Brafman
Seonae Breckenridge
Nathan Brown
Soobin Choi
Alexa Crist
Sunita Devi
Anukriti Dey
Paris Dickens
Yaopeng Ding
Maria Dobransky
Jonathan Ebenezer
Angelina Fahrenkrug
Yiwei Feng
Rutika Gavate
Kaelyn Gaza
Hayleigh Goodrich
Anagha Gopinath
Ana Grandgeorge
Shayona Gupta
Rachel Hercek
Ganqing(Luke) Hu
Yuqian Hu
Anica Huang
Yuan Jiang
Lakshmi Karuturi
Sofia Kashtelyan
Peculiar Lawrence
Xu Lian
Yiming Lu
Tianqi Lu
Yufei Ma
Vyshnavi Madala
Advait Mani Thomas Materdey
Angelique Jan Miane
Baisampayan Moitra
Daniel Morgan
Shahab Nassar
Shannya Niveyro
Ariana O’Brien
Nawal Panjwani
Rhianna Patel
Jianying Peng
Rishi Pothakamuri
Jiayin Qu
Reuben Rosen
Cody Rougeux
Pranav Sakre
Maria Santiago
Priyanka Seth
Yuancheng Shao
Purva Shenoy
Phyo Pyae Sone
Aniqa Tabassum
Joshua Turner
Veronica Vila
Jialiang Wang
Willa Wei
Sarah West
Myles Wood
Jingyi Xu
Yuhui Xu
Kyle Zappi
Jiahao Zhang
Vivian Zhao
Zimu Zhou
Maham Zia
Ian Zobrist
2023-24 Design Projects
Team Projects
Team Projects
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Novel secondary containment for advanced therapy transportation
Ariana O’Brien, Rhianna Patel, Shahab Nassar
Advanced therapies are high value, high cost treatments for critical illnesses. To ensure that active pharmaceutical ingredient (API) integrity and efficacy is maintained, advanced therapies are transported at cryogenic temperatures. Current solutions fall short in their high number of unit operations and their inability to customize logistics for an individual therapy. Addressing these shortcomings, we designed a hybrid secondary containment module, combining passive and active cooling mechanisms to maintain temperatures less than –150 °C for transit time. We computationally modeled the design and experimentally tested various inputs for the parameters and converged on an optimized design of an internal apparatus scaled down to transport a single therapy using passive cooling. This internal apparatus will be placed within an outer system of active cooling to maintain cryogenic temperatures and protect API integrity for the entire duration of transportation. This design is recommended for implementation in future advanced therapy logistical applications to ensure the highest efficacy drug for patients, and its scope would likely apply to other types of cold-chain transportation as well.
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Silent speech device for speech recognition
Aniqa Tabassum, Ganqing Hu
This project focuses on developing a silent speech device using surface electromyography (sEMG) to detect articulatory muscle movements aided by machine learning. Our device would allow intubated patients to significantly communicate their needs and problems by recognizing what they are trying to say. All patients would need to do is mouth the words. Our device comes with a facemask design that patients can put on comfortably. We have also developed a complete protocol to train our machine learning algorithm in clinical settings using data from human volunteers. The technology also has potential for applications for individuals suffering from permanent speech loss due to throat cancers or surgeries.
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Novel containment solution for global vaccines
Seonae Breckenridge, Paris Dickens, Anjola Solola
The COVID-19 pandemic disrupted the vaccine landscape, heightening the need for a global containment solution suitable for large-scale manufacturing and distribution of mRNA LNP vaccines at sub-zero temperatures. There is a substantial need to prevent disease, but there is still a global disparity in vaccine accessibility due to price and an area of opportunity for more sustainable containment solutions. Accounting for cost-effectiveness and global sustainability, we developed a novel and scalable containment and administration solution suitable for the sub-zero criteria of mRNA LNP vaccines.