May 31, 2017
5 to 8:30 p.m.
Arnold and Mabel Beckman Center
Samueli School of Engineering - Top Projects
3-D Visualization and Modeling for Epilepsy VOXEL
Epilepsy brain surgery is considered in cases where a patient’s seizures are unable to be controlled with medications, medical devices or specialized diets. If a patient is considered to be a good surgical candidate for epilepsy surgery, the neurosurgeon will remove the portion(s) of the brain felt to be responsible for generating the patient’s seizures. Often, images clearly outlining the seizure progression are hand-drawn on paper, illustrated on top of a generic brain structure (i.e. not the customized brain structure of the patient). This serves to guide which part of the brain should be removed to optimally improve seizure control. Hence, current standards are limited in two major ways: they’re not three dimensional visualization techniques and they’re not patient specific. VOXEL has come up with a two pronged solution to these problems. The first of which is 3D Printing the patient’s brain for better visualization. 3D printing is effective as it’s a physical model that’s easy for physicians to hold, rotate, write on, and evaluate with. It’s also a one to one model; it’s the exact size of the patient’s brain. The second solution VOXEL provides is an interactive virtual brain displayed on a virtual reality system. Consulting physicians can rotate the brain, walk into it, see six different layers of the brain and more! Because this is a highly software based system, it allows for instantaneous processing. VOXEL aims to use this two pronged approach to improve the surgical process for epilepsy surgeries and enhance patient life post-surgery.

Students: Prachi Shah, Dishant Donga, Natalie Mai, Paul Nguyen, Leslie Fernando, Andrew Dam
Advisor: Dr. Daniel Shrey, Children’s Hospital of Orange County (CHOC), Beth Lopour

HyperXite
HyperXite is a dedicated team of more than forty undergraduate engineering students from the University of California, Irvine working to design and manufacture a prototype Hyperloop pod as part of a SpaceX design competition. Our team received a Desi" Excellence award and placed 5th internationally for overall concept quality in the design phase of competition, making us the only top five team to implement an air-based levitation system. We were one of only twenty-nine teams able to compete in the prototyping phase of competition and test our design at the SpaceX campus this January. With the help of our industry sponsors, we have been able to push the boundaries of Hyperloop air-levitation technology and gain a glimpse into the future of high speed, mass transportation. More information can be found at HyperXite.com or on social media @UCI_HyperXite.

Students: Arwa Tizani, Mackenzie Puig-Hall, Chanceleir Schilling, Brian O'Sullivan, Kamran Sadaghiani, Nick Parks, Leslie Hsiao, Maral Abbasinik, Khaled Takwa, Mazen Alkhatib, Robert Chavez, Devin Pozas, Anthony Long, Mark Mekkittikul, Arjuna Rathnayake Mudiyanselage, Christian Aboga-a, Wesley Hsiao, Kristen Okano, Lauren Fleming, Lisheng Wang, Georges Hatem, Shreshth Kumar, Nicholas Oune, Allen Chang, Sergio Linares, Jason Lee, Kyle Ferreira, Zhen Chen, Carol Reyes, Larry Smith, Dongheng Jing, Jatin Singh Banga, Richard Hoang Le, Derek Cheng, Brian Fang, Calvin Belcher, Andrew Tec, Miguel Escobar, Dong Kim, Kim Ngoc Tran, Woo Yoong Chong, Jessica Ma, Colin Brannigan, Enpei Wu, Youssef Iskander, Matt Casper, Kelly Quach, Mark Mekkittikul
Advisor: Roger Rangel

No Tool Left Behind
A novel system designed to detect retained surgical foreign objects using magnetically tagged instruments and a magnetometer array that provides simple visual detection of the tool left behind in the patient’s body.

Students: Aditya Kudva, Shrishti Bhatnagar, Dacoda Strack, Anand Shah
Advisor: Micheal Klopfer, G. Li

Renew 3D Print
The world’s resources are increasingly limited. The energy and environmental costs of manufacturing, shipping, and discarding plastic products puts tremendous strain on the earth’s biosphere. Personal 3D printing, in conjunction with in-house recycling of the plastics used, are poised to change the consumption patterns of the general public. This project will design and implement plastic recycling processes in response to consumer 3D printing, and promote awareness of cradle to cradle ideas in the home.

Students: Andrew Hnat, Will Amos, Aldrin Lupisan, Derek De Los Angeles, Sharon To, Christian Datu, Ian Pareja, Ivette Morales, Tucker Moody
Advisor: Jesse Jackson

Salux Diagnostics
Handheld imager for rapid burn wound assessment - Common burn wounds triage and subsequent monitoring rely on subjective visual examination. In order to provide better diagnostics to help administer well-measured therapeutic regimen, imaging devices that allow objective and below-the- surface examination and evaluation are needed. This project aims at the design and development of a low-cost, compact imager that would utilize the unique capabilities of the quantitative optical imaging techniques developed at the Beckman Laser Institute: Spatial Frequency Domain Imaging. This current approach is being used to study burn wounds and subsequent healing responses with desktop instrumentation that are costly and bulky. There is great potential to develop a simplified version by using off-the- shelf components to aim at a low cost, easy to use imaging device that can address the critical unmet clinical needs in burn wound triage.

Students: Maaikee Kiyoe Pronda, Dimple Patel, Kevin Trieu, Shreya Akkenapally, Eashani Sathialingam, Akshita Agrawal
Advisors: Anthony J. Durkin & Rolf Saager, Beckman Laser Institute & Medical Clinic

Sensenium Medical
The time after a stroke is critical, every minute without treatment increases an individual’s risk of permanent disability and death. Unfortunately, stroke can only be diagnosed and treated at the hospital. Sensenium Medical created RHISE, a device that can differentiate the type of stroke a patient is having in an ambulance, before reaching the hospital. This allows treatment to be delivered almost immediately, and can significantly reduce the chances of long-term disability and death.

Students: Tuyetnhi (Nicole) Le, Stella Doering, Martin Anthony Valdez, Zachery Robinson, Brandon Trieu, Nuria Varela
Advisor: F. Kruggel

Donald Bren School of Information & Computer Sciences - Top Projects
Bobcat Mobile
An event planning application that simplifies event planning by breaking down the event’s every detail in a functional mobile application.

Students: Joharah Alomair, Christian Amaya, Daud Naz, Chape Ngau, Shirelle Chalamish
Sponsor: David Wood

DJANIC
The Million Kids Education Application will be used by both parents and children in order to educate them on the everyday risks and dangers associated with their actions that could lead them into the dark world of sex slavery and human trafficking. Our app is being built for the Android platform for now because it is the most widely used mobile device platform in the world. The application is partitioned into two parts; the child side, and the parent side. The parent side will primarily offer education articles and videos to help inform adults of the risks that their children face in day to day life and methods to protect them. The child side will play as a choose your own destiny style simulation game. In the game, children can select their age range which will offer a uniquely customized playing experience for children of all ages. The game is fun so that it will entice children to play, while still being educational so as to provide a learning experience so that these children learn how to make the right choices in life. This application has the potential to save upwards of one million kids every year from the horrors of human trafficking.

Students: Nick Hoyt, Arameh Giragosian, Dori Mouawad, Irish Marquez, Jacqueline Welham, Calvin Poon
Advisor: Hadar Ziv

Nielsen Ninjas
WaferNav
An Android mobile application that provides routing assistance to allow the proper transfer of semiconductor testing materials to the correct locations in a testing facility.

ActivATE WaferNav
A C# desktop application which allows an administrator at the testing facilities to view and configure the routing information used by the WaferNav mobile application.

Students: Brian Chipman, Maria Galindo, Lorenia Jimenez, Jody Nietz, Catherine Tran, Cameron Watt
Sponsor: Michael Critchlow & Matthew Buccat, Astronics

Reaction
Reaction is a web app that provides market analytics for Airbnb. It harvests actionable insight from data on over 26,000 listings in Los Angeles, along with economic, demographic, and crime statistics. The app combines exploratory visualization with predictive analysis backed by machine learning. Using the exploratory interface, users can selectively visualize the landscape of Airbnb listings in its many dimensions. For example, a homeowner can explore the relationship between listing prices and geography, local demographics, and property features. In this way, newcomers can quickly develop a holistic understanding of the market. With Reaction’s price prediction tool, users can generate a rental appraisal based on the location and features of any residential property. With each prediction, the app provides a detailed breakdown of the factors that contributed to the estimated price. This allows a prospective host to estimate her home’s rental value – and understand it in context.

Students: Jacob Marello, Ty Michaels, Shawn Ratcliff, Raymond Tang
Sponsor: Tao Wang, Diane Monchusap

TeraKeen
Our project was to create a Real Time Digital Intelligence (RTDI) dashboard that shows Gigasavvy’s performance in social media and other paid campaigns. The dashboard will be displaying real-time interactions from Facebook, Instagram, and Twitter. Each individual dashboard is easily accessible, and switching between them is easy and convenient. The dashboard will be used internally by Gigasavvy through in-office displays and externally by their clients on their own RTDI instance.

Students: Sania Bishnoi, Jasmine Nguyen, Daniel McInnis, Xen Eldridge, Luke Raus
Sponsor: Kris Chase