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- Machine Learning for Speech EnhancementX<Read More
The core value of Nureva is to provide reliable and easy-to-use audio-conferencing products that offer a good user experience and maximize productivity. The unique Microphone Mist™ technology unlocks new possibilities to pick up audio from anywhere in the room. One subtopic of this research is to investigate ML as it...
Faculty Supervisor: Gerald Penn
Student: Miaoqi Zhang;Wenzhe Xu
Partner: Nureva Inc.
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Project Blinkem - Optical channel communication for Mixed Reality SystemsX<Read More
Project Blinkem is a novel approach to visible light communication, which aims to create a low-cost, scalable, and secure framework using existing technologies. The project proposes encoding data into Infrared LEDs, which can visually communicate with high-resolution image sensors on HMDs as well as a high-speed optical module. By leveraging...
Faculty Supervisor: Kiriakos Neoklis Kutulakos
Student: Cheng Xu
Partner: Unmodal Research
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Model compression and inference optimization for UAV’s companion computerX<Read More
With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will...
Faculty Supervisor: Nandita Vijaykumar
Student: Yuxuan Zhang
Partner: SOTI Inc
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Software System Error Detection and ResolutionX<Read More
The software development process is a lengthy process and an area where most companies spend a great amount of capital. Approximately half of this time developers are spending on fixing bugs in their code. Faulty software is difficult to identify both in location and reason. After finding a bug, it...
Faculty Supervisor: Sushant Sachdeva
Student: Anthony Rinaldi
Partner: Metabob
Discipline: Computer science
University: University of Toronto
> - AI-driven Predictive Models and Consumer Insight for Trade Optimization ImprovementX<Read More
The proposed project is to develop AI strategies to provide precision marketing through consumer segmentation and recommender systems, as well as to promote events that shall meet various business goals for retailers and Unilever. Successful outcomes will feed into an On-Demand AI Engine aimed at improving consumer engagement and pricing...
Faculty Supervisor: Scott Sanner;Chi-Guhn Lee
Student: Yu Pang;Jingbo Yang;Landy Xu
Partner: Unilever Canada Inc
Discipline: Computer science
Sector: Manufacturing
University: University of Toronto
Program: Accelerate
> - Building a privacy-preserving federated recommender system for mobile devicesX<Read More
Lerna AI helps app developers to better understand their users and optimize their campaigns. The company’s mobile library optimizes the timing of user engagement, for example by identifying when the right moment is to send an up-selling notification. This is achieved by seamlessly deploying privacy-preserving federated learning on the mobile...
Faculty Supervisor: Ioannis Mitliagkas
Student: Aasheesh Singh
Partner: Lerna
Discipline: Computer science
University: Université de Montréal
Program: Accelerate
> - AI Based Script Builder for Web PaymentsX<Read More
To conduct research and provide a feasible solution to create an AI-based script builder to automate the company’s pay-by-web transaction process. The pay-by-web transaction process includes many steps. These are steps such as extracting data from different sources and monitoring email inboxes as well as verifying payment information. The process...
Faculty Supervisor: Mariano Consens
Student: Jiujiu Duan
Partner: Iteration Matrix LP
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Blockchain-based ESG and SDG rating platformX<Read More
Our interns will work on an innovative platform that rates companies based on their environmental, social, and ethical performance (ESG) and their contributions to global goals (SDG). They will help create digital tokens (NFTs) that ensure the data stays secure and trustworthy, while also protecting privacy with advanced technology (ZKSnarks)....
Faculty Supervisor: Chen Feng
Student: Saeid Yazdinejad;Yi Wang
Discipline: Engineering
University: University of British Columbia - Okanagan
Program: Accelerate
> - Using multi-modal data and self-supervised approaches for machine learning in healthcareX<Read More
This research project aims to address the growing interest in predicting clinical outcomes using machine learning
(ML) approaches applied to Electronic Medical Record (EMR) data. The primary objective of this study is to
develop representations of both EMR and text data found in medical notes using current state-of-the-art...Faculty Supervisor: Bo Wang
Student: Shixuan Li
Partner: Signal 1 AI
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Driver Behaviour Analysis Using Accelerometers on Android DevicesX<Read More
The objective of this project is to develop a software solution that can analyze the accelerometer data on android devices and report certain metrics of a moving vehicle related to road safety and driving conditions. The reports can then be used for immediate call for action in case of detecting...
Faculty Supervisor: Arvind Gupta;Huaxiong Huang
Student: Yulin Wang
Partner: SOTI Inc
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Data Communication Optimization between Mobile Devices and ServersX<Read More
The proposed research project aims to improve the way data is transmitted between mobile devices and company servers. This will improve the speed and security of file transfers, data synchronization, application deployment, and distant management of mobile devices. The intern will collaborate with experts from the partner organization who will...
Faculty Supervisor: Eyal de Lara
Student: Ruoqi Shu
Partner: SOTI Inc
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Development of a distributed framework for deep learning modelsX<Read More
Layer 6 powers the AI use cases for a variety of banking and financial applications at TD Bank. The goal of the research project is to improve the AI engine by having the training more efficient and distributed among a variety of clusters. The AI engine will allow models to...
Faculty Supervisor: Scott Sanner
Student: Ilan Gofman
Partner: Layer 6 AI
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Edge-Cloud Video Streaming Pipeline for Video Action RecognitionX<Read More
Streaming Cameras have become ubiquitous in the urban and industrial landscape. This research project aims to improve the AI-based action recognition capability of consumer-class home camera streams, which often have limited bandwidth and degraded video quality. The project proposes to develop a network-aware, video-action recognition AI pipeline that pushes key...
Faculty Supervisor: Nandita Vijaykumar
Student: Ke Zhao
Partner: Samsung Electronics Canada
Discipline: Computer science
Sector: Manufacturing
University: University of Toronto
Program: Accelerate
> - Emerging Event Classification SystemX<Read More
The goal is to develop a system that can rapidly detect and report emerging disease outbreaks worldwide by analyzing clusters of news articles using Large Language Models. The objective is to create an efficient and effective way of identifying "disease
events" that can alert public health officials to take...Faculty Supervisor: Annie Lee
Student: Naveen Thangavelu
Partner: BlueDot Inc
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - '>Smart Battery ResearchX<Read More
The proposed project seeks to develop a Machine Learning-based software solution that accurately measures the capacity, State of Health (SoH), State of Charge (SoC), and cycle count of non-smart batteries utilized in mobile fleets. The project's primary objective is to bridge the gap between smart and non-smart batteries by monitoring...
Faculty Supervisor: Arvind Gupta;Huaxiong Huang
Student: Devashish Pradeep Khairnar
Partner: SOTI Inc
Discipline: Computer science
University: University of Toronto
Program: Accelerate
> - Simulation of Remote Control on a Mobile DeviceX<Read More
Mobile devices have become a crucial tool for businesses, and SOTI MobiControl is a leading mobile device management solution that provides remote control capabilities. However, to ensure proper product functionality and scalability of SOTI MobiControl, the company is looking to research the simulation of remote controlling a mobile device for...
Faculty Supervisor: Eyal de Lara
Student: Yao-Chen Chi
Partner: SOTI Inc
Discipline: Computer science
University: University of Toronto
Program: Accelerate
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