Brain tumors are the leading cause of cancer-related death in childhood and are generally categorized as low-grade or high-grade. More granularly however, there can be over 100 types of brain tumors which can vary widely in both prognosis and treatment. Machine learning has increasingly been applied to classify brain tumors and other cancer types but […]

Picard-Lefchetz theory is a powerful tool for evaluating highly oscillatory integrals that are difficult or impossible to solve using other integration methods. This theory has numerous applications to lensing, quantum mechanics, and high energy physics. In this project, I will investigate using Picad-Lefchetz theory to solve simple lensing problems with the goal of applying these […]

We focus on building the systems that allow for the storage and analysis of big data for preventing cybersecurity attacks. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team then builds products that allows our customers as well as our […]

Thin-film polymer substrate that have piezoelectric layers are promising for a variety of applications, including micro-electro-mechanical systems, mechanical energy harvesting, and flexible electronics with security features. This study proposes a detailed approach for understanding how these flexible structures behave under different mechanical loads, using a comprehensive experimentation. This research mainly focuses on characterizing the electromechanical […]

Biomedical research, particularly preclinical research, is a complex and challenging field with a high failure rate of 98% in pharmaceutical research investment. Extracting relevant information from preclinical research papers involves synthesizing information from various sources, which is a demanding task that requires domain-specific knowledge. Natural language processing, specifically Large Language Models (LLMs), has demonstrated tremendous […]

The ability to quickly check if robot poses are not in collision with environment geometry is critical for robot applications that rely on forward kinematics, inverse kinematics, and path planning. It has been shown that during path planning 99% of the time is spent performing collision checks between the robot & its environment. Improving collision […]

This important research project seeks to a) engage graduate students from University of Toronto in an immersive entrepreneurial experience in Taiwan in the fields of advanced computing, clean technologies and scientific innovation and b) measure the development of international entrepreneurial competencies impacted by this experiential learning. The student will complete an internship with Himax. He […]

This project aims to develop enhancement techniques for high-resolution imaging on smartphone devices. The project will focus on a specific imaging modality where a pair of images are captured in succession: a high-resolution image (108 mega-pixel) and a corresponding low-resolution image (12 mega-pixel). Due to the small pixel size in the sensor used to capture […]

The primary purpose of this project is to mitigate phosphorus (P) and nitrogen (N) runoff from agricultural lands in the Bay of Quinte Area of Concern (AOC) using passive reactors. These reactors are cheap and easy to construct and use waste eggshells as the main reactive material creating a useful product from a waste material. […]

This important research project seeks to a) engage graduate students from National Cheng Kung University (NCKU) in an immersive entrepreneurial experience in Toronto, Canada in the fields of advanced computing, clean technologies and scientific innovation and b) measure the development of international entrepreneurial competencies impacted by this experiential learning. Students will complete an internship with […]

Modern mobile phones have become the dominant photography device in recent years. However, due to form factor constraints both the camera sensor and lens have to remain compact, which in turn has a negative effect on the resulting image quality such as decreased resolution and noise. Image restoration attempts to recover a clean latent image […]

This project involves the 3D printing of amino-acid and peptide-directed synthesis of chiral plasmonic gold nanoparticles. The chirality of these nanoparticles is important due to their exceptional light polarization control, negative refractive index and chiral sensing. Previous research on this topic look at the synthesis of these nanoparticles using amino acids and peptides which can […]