Partner: HireRight

Thu Nguyen

Arya Kashani

Daolun Shen

Project Overview:  Currently, applicants are entered into HireRight fulfillment systems as a distinct person each time a background check is run. Sometimes this is required by unavoidable legal constraints. Often times, however, the applicant has been run through a background check on one or more of HireRight’s fulfillment platforms before and HireRight would be legally permitted to re-use data collected/verified prior. Additionally, this cross-platform data is not contained in a single transactional database which means that tying it together effectively would likely require a graph database model. Being able to tie the information together would result in labor savings as well as unlocking significant data analysis and research potential.

Partner: ETAD

Grace Choe

Daniel Jiang

Project Overview:  This project focuses on the use of AR as technology-driven approach that utilizes Internet-connected machinery to empower workers of the future in terms of safety and efficiency. The goal of this project is to identify opportunities for data analytics and visualization to improve manufacturing performance.

Partner: None

Rajwinder Singh

Tejash Bhakta

Project Overview: Keeping the importance of Computer Science, especially programming in mind, we are building a first-of-its-kind online development environment for students and educators to revolutionize the traditional ways of learning and teaching programming. Cloud Studio is an online integrated development environment that would enable anyone from anywhere to learn and build programs without having to deal with issues associated with setting up their own local development environments.

Partner: Paciolan

Yunsheng Duan

Tarandeep Thamrait

Taofeng Li

JingHao Su

Kenzo Spaulding

Project Overview:  Paciolan is the second largest white label ticketing company in the country. It handles end-to-end ticketing for sports events, music venues, and other situations requiring ticketing. In order to perform their job well, a variety of methods to communicate with ticket holders is employed whether that is email, texting, or websites. Our team has been assigned the task of building the infrastructure for a short code messaging service for Paciolan’s SMS services. Currently, Paciolan has no-reply long codes, which are standard 10-digit phone numbers, that send information via SMS. However, long codes do not suitably support the high-volume and time-sensitive messaging environment required by Paciolan. It’s purely intended for person-to-person communication and the only way to scale with sending messages with long code is to add more host phone numbers – long code approach adds costs in maintenance on the side of application development and the nature of ticket messenger (which requires large one-to-many notification bursts) adds higher risks of getting labeled as spam or filtered by the carrier. The poor messaging performance supported by long code brings the motivation of changing the underlying messaging mechanism and solutions to using short code.

Partner: Dutt Research Group

Isaac Berman

Tammy Thai

Jasmine Michelle Irada

Project Overview:  Internet of Things enabled healthcare provides a connection between things (i.e., wearable and environmental objects) to enhance healthcare services and subsequently the quality of life. Heterogeneous medical and environmental data (e.g., vital signs, physical activity, and environment data) can be collected continuously via various sensors. Lifelogging and event monitoring provides an additional source of context to the collected data that can be used in the various analyses. These sets of projects aim to collect data from different populations (Pregnant women, College students, etc.) and provide health benefits to them using ubiquitous monitoring and micro intervention.

Partner: Dutt Research Group

Bryce Anthony Gold

Walter Donghyun Lee

Soumya Sharma

Project Overview:  Internet of Things enabled healthcare provides a connection between things (i.e., wearable and environmental objects) to enhance healthcare services and subsequently the quality of life. Heterogeneous medical and environmental data (e.g., vital signs, physical activity, and environment data) can be collected continuously via various sensors. Lifelogging and event monitoring provides an additional source of context to the collected data that can be used in the various analyses. These sets of projects aim to collect data from different populations (Pregnant women, College students, etc.) and provide health benefits to them using ubiquitous monitoring and micro intervention.

Partner: Dutt Research Group

Aviv Isaac Benchorin

Iva Do Khauv

Garrett William Wolfe

Project Overview:  Internet of Things enabled healthcare provides a connection between things (i.e., wearable and environmental objects) to enhance healthcare services and subsequently the quality of life. Heterogeneous medical and environmental data (e.g., vital signs, physical activity, and environment data) can be collected continuously via various sensors. Lifelogging and event monitoring provides an additional source of context to the collected data that can be used in the various analyses. These sets of projects aim to collect data from different populations (Pregnant women, College students, etc.) and provide health benefits to them using ubiquitous monitoring and micro intervention.

Partner: Kaiser Permanente

Prateek Rao

Aaron Arroyo

Akshaya Manchala

Shanshan Shi

Alex Wang

Project Overview:  Platforms such as ePAD, developed by Stanford, act as Radiologists front-end to production medical imaging systems for the purposes of segmentation and annotation. This solution does not satisfy scale and can only be relevant when specific use cases are chosen and radiologists are staffed to perform the task. KP is proposing an integrated experience in a Radiologists normal work-flow where with low cognitive load, they are enabled to segment/annotate their diverse cases for future data retrieval and model training

Partner: Ethic Marketplace

Ivan Huang

Preston Tai

Brandon Tom

Nathan Cho

Project Overview:  Many sustainable startups are in the process of developing prototypes for the products, and don’t have the resources to get those prototypes into the hands of more early adopters. Often times, however, they will post information about their brand and product/service on various locations such as social networks, their own websites, communities surrounding their products, and more. We want to be able to scour the web and find these companies, their products, and their contact information, and automatically reach out to them to begin relationships. This bot should look at LinkedIn, Facebook, newly created websites, craigslist, and startup resource pages to find these companies.

Partner: Teletrac Navman

Zhenhao Gong

Zhenghao Li

Tuan Shridhar

Tongjie Wang

Zirong Xu

Songheng Zhang

Project Overview: The goal is to predict customer churn for Teletrac Navman (TN) and create a Machine Learning model that will give the probability of churn 6-12 months before contract termination. Churn is the event where a customer leaves their current vendor for another vendor. In this case, TN has multi-year contracts that customers are locked into, but typically decide to switch to another vendor well before the contract termination date. The goal is to be able to assign a probability to current TN customers that represent their likelihood of churn, as well as a visualization of the data provided to the team. This model will be provided to the Operations Team at TN, meeting the given implementation requirements, and may include automation tools for future data cleaning.