Recent undergraduate research projects

• Irene Wood, COMP 400, Fall 2018, Physician visualization of patient-reported outcomes, (co-advised with J. Kildea)

• Jordan Itzkovitz and Noah Levine, ECSE 456A, Fall 2018, Extended functionality for Opal Questionnaires.

• Xuer Liang, COMP 396, Fall 2018, Adding Caregiver-specific educational materials to the Opal Caregiver Module

• Vince Porporino, COMP 400, Fall 2018, Extending Opal Questionnaires to handle conditional flow and other extensions

• Sandrine Monfourny-Daigneault, COMP 400, Fall 2018, Personalized educational material about chemotherapy in the Opal mobile app

• Yunwen Ji, COMP 402, Fall 2018 and Winter 2019, Capturing key personalized information during the first medical oncology consult for breast cancer patients

• Charlotte Ding, COMP 396, Winter 2018, Project Behave: A Web Application for Data Analysis

• Ariane Schang, COMP 400, Winter 2018, Handling Conditional Questions in Patient Questionnaires

• Daniel Lutes, COMP 396, Winter 2018, Project Trigger: Tracking Patient Reported Outcomes

• Hongji Chen, COMP 400, Winter 2018, A Domain-specific Language for Peephole Optimization in the JOOS Compiler

• James Mesich, COMP 396, Winter 2018, Project Zombie: Automated Testing of the Opal Application

• James Brace, COMP 400, Winter 2018, Exploring the Performance of Deep Learning in Modern Web Browsers

• Shenyang Huang, COMP 396, Winter 2018, Enhancements of the Caregiver App, a companion to the Opal Patient App

• Zhengbo Wang, COMP 396, Winter 2018, Refining questionnaire visualizations for the Opal App

• Zhaning Zhang, COMP 396, Winter 2018, Project QALG: Defining, Storing and Applying Algorithms of Questionnaires

• Amior Schmidt, COMP 396, Fall 2017, Predicting Late Arrivals with Machine Learning

• Anna Jolly, COMP 396, Fall 2017, Redesigning Questionnaires in the Mobile Application Opal, co-supervised by Tarek Hijal.

• Sahas Leelodharry, COMP 396, Fall 2017, Logging system for Opal patient mobile-application

• Jeremie Poisoon, COMP 400, Fall 2017, Implementation of a feedback mechanism for patients in OPAL questionnaires

• Martina Marien, COMP 400, Fall 2017, Displaying Patient-reported Outcomes as Graphs in the Opal app, co-supervised with Tarek Hijal.

• Josh Liu, COMP 400, Fall 2017, Oncology Buddies

• DoYeon Kim, Summer Research (NSERC), Machine Learning for estimating early patients, co-supervised with John Kildea

• Zaid Yahya, Summer Research (ARIA), Caregiver App

• Michael Medeiros Charbonneau, Summer Research (NSERC), Caregiver App

• Manel Charouni, Summer Research (Mitacs), New Functionality in Opal

• Wen Quan Li, Summer Research (SURA), Waiting time visualizations

• Hongji Chen, Summer Research, Developing a compiler for HorseIR, an intermediate representation for array-based languages and relational databases

• Qi Chen, COMP 396, Winter 2017, A companion app of Opal: Caregiver app prototyping

• Xin Ton Wang, COMP 396, Winter 2017, Data analysis for chemotherapy waiting time prediction

• Victor Barbaros, COMP 396, Winter 2017, Opal MD: Doctor's app in the Opal universe

• Marc Yang, COMP 396, Winter 2017, Enhancement on patients' learning experience through virtual reality

• DoYeon Kim, COMP 396, Winter 2017, Interactive virtual reality experience for oncology patients

• Bejal Lewis, COMP 401, Fall 2016, Historical views of responses to questionnaires

• Lam Uong, COMP 401, Fall 2016, Predicting waiting times for consults

• Yuning Bie, COMP 401, Fall 2016, Integrating lab test results with patient-friendly visualizations (cosupervised by Tarek Hijal)

• Di Zhang, COMP 396, Fall 2016, Identifying and explaining outliers in radiation planning waiting times (cosupervised by Tarek Hijal)

• Kayla Branson, COMP 396, Fall 2016, Patient Committee functionality for OPAL

• Ayesha Krishnamurthy, COMP 396, Fall 2016, Patient Committee functionality for OPAL

• Jérémie Poisson, COMP 396, Fall 2016, Wayfinding inside university and hospital buildings

• Othniel Cundangan, COMP 396, Fall 2016, Effective Graphical Interface for Code Translation using McLab Tools

• Ruichao Zhang, COMP 396, Fall 2016, Using Electron to make McLab-Web into a multi-platform desktop application

• Marco Fasanella d'Amore di Ruffano, COMP 396, Summer 2016, Reference Compiler and Specification for OncoTime

• Maxim Gorshkov, COMP 400, Summer 2016 SOCS wayfinder: Using a Low Cost Solution for Geolocation and Pathfinding Indoors

• Ariana Aimani, COMP 401, Winter 2016, Predicting Treatment Plan Sequences and Waiting Times in Breast, Lung and Prostate Cancers.

• Ariella Smofsky, COMP 396, Winter 2016, Mobile Application Opal: Oncology Patient Forums and Experiences.

• Shahab Razavi, COMP 396, Winter 2016, Informing Patients via Push Notifications: a Matter or Time.

• Evan Luc McIlroy, COMP 396, Winter 2016, A Doctor Application for the MUHC.

• Valerie Saunders Duncan, COMP 396, Winter 2016, Octave Front-End Compiler for the McLab Framework.

• Emily Sager, COMP 396, Winter 2016, Matlab Code Profiling Available on the Web.

• Alex Krolik, COMP 396, Winter 2016, Array Dependence Testing Framework for McLab.

• Emil Rose, COMP 396, Winter 2016, Redesigning and Expanding McLab Web.

• Gabriel Cemaj Hochstein, COMP 400, Winter 2016, From command line to the web: Trivializing the exposure of command line tools in a web environment.

• Chloe Pou-Prom, COMP 401, Fall 2015, Visualization of Lab Results in Opal, a Mobile Application for Oncology Patients.

• Deepanjan Roy, COMP 400, Fall 2015, McLab tools on the web.

• Zachariah Stevenson, COMP 396, Fall 2015, Automating Data Visualization from a Hospital Database.

• Ching-Chia Wang, COMP 396, Fall 2015, Designing and Prototyping an App for Radiation Oncology Physicians.

• Lei Lopez, COMP 400, Winter 2015, A comparative study of the performance of PNaCL

• Yi Fan Zhou, COMP 396, Winter 2015, Visualizations of waiting time for patients and doctors for Cancer Clinics

• Maxim Gorshov, COMP 396, Winter 2015, Waiting time prediction by planning stage for radiation oncology patients

• Alvin Leung, COMP 396, Fall 2014, Analyzing Radiation Oncology Data for Predication of Radiotherapy Wait Time

• Marya Sawaf, COMP 396, Fall 2014, How Much Longer? Predicting Waiting Times in Hospital Waiting Rooms.

• Lei Lopez, COMP 396, Summer 2014, A Foundational Tutorial on MATLAB

• Tristan Labelle, COMP 400, Winter 2014, Generating .NET from MATLAB

• Faiz Ahmed Khan, COMP 400, Fall 2013, Parallelism in JavaScript for Numerical Computing

• Mohammed Amine Sahibi, ECSE 498, Fall 2013 and Winter 2013, Tamer+: Generating a programmer-friendly intermediate representation of MATLAB source code

• Kevin Samary, COMP 396, Fall 2012, A study of the efficiency of vector computations in MATLAB