Undergraduate Students
Summer Research Students
- Jinghan Yu, Preferential Attachment Networks via Polya Contagion, May - August 2024.
- Adam Gronowski (NSERC USRA), Deep Variational Information Bottleneck, May - August 2019.
- Paul Wilson, Error Control Codes for Two-Way Multiplicative Channels, May - August 2019.
- Adan Moran-MacDonald (NSERC USRA), The Rényi Deterministic Information Bottleneck and Geometric Clustering, May - August 2018.
- Curtis McDonald (NSERC USRA), Intelligent Jammer with Uncorrelated Sources on a Two Way Additive Gaussian Noise Channel, May - August 2017.
- Jordan Knorz (NSERC USRA), Information Theory and Evolutionary Biology (co-supervised with T. Day), May - August 2014.
- Esmeralda Tremblay (NSERC USRA), Information Theory and Evolutionary Biology (co-supervised with T. Day), May - August 2014.
- James Vuckovic (NSERC USRA), Information Theory and Evolutionary Biology (co-supervised with T. Day), May - August 2014.
- Justin Ma (NSERC USRA), Simulations and Analysis for Channel Coding Schemes, May - August 2013.
- Brynn Vadala (NSERC USRA), Data Compression via Error Correcting Codes, May - August 2013.
- Mustafa Abdool (NSERC USRA), Full System Analysis of Data Compression Techniques, May - August 2012.
- Matthew Black, Low-Density Parity-Check Codes and Related Topics, June - August 2012.
- Thomas Hughes, Error Correcting Codes and Related Topics, May - June 2012.
- Mitchell Wasson (NSERC USRA), Data Compression via Error Correcting Codes, May - August 2012.
Supervised Engineering Mathematics Research Projects (Fall-Winter)
- Michael Cronin, Alex Wheeler, Mitchell Sabbadini, Julianna Psaltakis and Colin Gould, Large Language Model Distillation for Grade School Math Tutoring, April 2026.
- Josh Wagman, William Gorman, Bruce Cao, Evan Graham and Lucas Musselman, Music Playlist Generator: AI-Powered Playlist Generation via Adversarial Autoencoders, April 2026.
- Mateo Huster, Jack Fejer, Viren Tated, Lindsay Atkinson and Aiden Van Straaten, Limiting the Spread of Medical Misinformation on Social Media Using a Polya Process, April 2026.
- Brooke Thomson, Douglass Jeffrey, Isabelle Hill, Julia Perlin and Owen Wade, Optimizing Awareness Campaigns on Social Media for Food Product Recalls Using the Polya Process, April 2026.
- Anya Friedrich, Owen Keddie, Jordan Matus, Elliot Thoburn and Anna Wasylyk, Modelling U.S. Presidential Elections and Campaigning Strategies via Polya Network Contagion, April 2025.
- Blair Hamilton, Simon Fucili, Nigel Vickery, Priyanka Rao and Ethan Tait, Controlling Contagion: A Reinforced Polya Process Model for Investor Sentiment and Market Stability, April 2025.
- Davis Edward, Kevin Liang, Liyi Ma, Alexandra Cramarossa and Robyn Wallgren, Speech Decomposition Using the Variational Information Bottleneck Method, April 2025.
- Andrew Sutcliffe, Hamish Spence, Kyle Dong, Joshua Geddes and Thomas Tesselaar, Variational Information Bottleneck for Time-Period Text Classification, April 2025.
- Taylor Balsky, Adam Cormier, Campbell Harris, Xiaoyu Ren and Nigel Vasoff, Effective Transmission and Classification of Compressed Wildfire Images Over Noisy Channels with Memory, April 2025.
- Daniel David, Shalom Guslits, Basil Jancso-Szabo, Hank Kohn, Thomas Mulvihill and Henry Wilson, (αD, αG)-Quant GAN: A Tunable GAN for Financial Time Series, April 2024.
- Owen Borthwick, Oscar Brown, Kaleb Huneau, David Laughton, Jillian Menikefs, Deven Shidfar and Sudeepta Talukdar, MRI Data Augmentation Utilizing Lα-GAN, April 2024.
- Jackson Cowie, Kaito Lee, Owen Livermore, Cameron Overvelde, Adrian Rigby, Jay Shin and Shivam Sood, Signature Cleaning with CycleGAN, April 2024.
- Quinn Bazuk, Scott Justason, Zackary Katsiroubas, Anusha Mane, Renner Siebens and Jennifer Wener, Systemic Risk in Banking Networks: A Polya Urn Contagion Model, April 2024.
- Ana Duvnjak, Patrick Lister, Maddie Mackie, Laeticia Niu, Aidan Shimizu and Ben van Eeden, Optimizing Online Brand Awareness: A Network Polya Contagion Model, April 2024.
- Jesse Agate, Will Coffell, Cameron MacKinnon, Sydney Tschritter and Aidan Yang, Exploring Alpha Values for Generative Adversarial Networks using Rényi GAN Generator and RGAN Discriminator, April 2021.
- Alexandre Le Blanc, Sean Kato, Daniel Howells, Joseph Grosso and Tania Sidhom, The Differential Privacy Least kth-Order Generative Adversarial Network, April 2021.
- Victoria Bolitho, Ryan Kwast, Jenna Malone, Adam Wilkinson and Sarah Wood, Modelling Coronavirus Disease 2019 via a Polya Network Contagion Scheme, April 2021.
- Emily Arkell, Sabrina Barnes, Jada Buchanan, Troy Giorshev and Jonathan Morano, Investigation of Suicide Mitigation Strategies, April 2021.
- Theo Bresolin, Jessica Landon, Kate Norris, Chelsea Pham and Peter Wright, Combating the Spread of Misinformation in a Social Network via a Polya Contagion Model, April 2020.
- Sebastien Gravel, Chelsey Kurylo, Luke Mazzei, Natalie Ranta and Molly White, Optimization of Vaccine Distribution in a Finite Memory Network Polya Urn Scheme, April 2020.
- Helena Basaric, Jacob Beallor, Max Berkowitz, Jason Kronick and Evan Snider, Generative Adversarial Networks Applied to Unpaired Image-to-Image Translation, April 2020.
- Robert Moore, Mike Lynch, Cooper Midroni, Adam Gronowski and Hatem Aldawaghreh, Text Expansion via Filling in Blanks, April 2020.
- Joey Blumenstein, Thomas Morrish and Benjamin Simons, Initial Condition Optimization for the Network Polya Contagion Model, April 2019.
- Rebecca Brace, Tegan Dietsch, Connor Kilackey and Shini Ko, Suppressing the Spread of Disinformation in Social Networks, April 2019.
- Jack Guebert, Wesley Routley, Brant Vanderveen and Elise Weissenberger, Text Classification via the Deterministic Information Bottleneck Technique, April 2019.
- Braeden Ng, Cole Thierrin, Jesse Jia and Matthew Whittle, Information Bottleneck Approach to Geometric Clustering, April 2019.
- Lauren Babington, Liam Dupelle, Courtney Milligan, Jessie Ramsay and Taylor Sawadsky, Predicting Elections Using a Network Contagion Model, April 2018.
- Alfred Chen, Simon Gladstone, Christopher Ko, Adan Moran-MacDonald and James Szoke, Synthetic Aperture Radar Image Restoration via a Polya Network Contagion Scheme, April 2018.
- Anthony Krause, Jeremy Kulchyk, Xiaofeng Lin, Spencer Seliga and James Weiss, Effective Communication of Text Data, April 2018.
- Sam Anderson, Julie Briffa, James Gibbard-McCall and Robert Spencer, Protecting Autonomous Vehicles from Jamming Attacks: Coding Strategies for Communication Channels under Intelligent Jamming, (Alajaji and Yuksel), April 2017.
- Daniel Armitage, Fredrick Leber, Nicolas Pennie and Dylan McTiernan, Design of a Communication System for Satellite Images over Noisy Wireless Channels, (Alajaji and Linder), April 2017.
- Kerem Ataman, Sarah Colquhoun, Gregory Harrington and Tristan Ognibene, Analysis and Control of Contagious Phenomena in Networks, (Alajaji and Gharesifard), April 2017.
- Lucy Santano Carrasco and Kiraseya Preusser, Channel Optimized Scalar Quantization for Images Transmitted over a Noisy Channel, (Alajaji and Linder), April 2015.
- Brendan Conklin, Daniel Potvin and John Ramsay, Extending a Polya Contagion Process to Modelling Contagion in Networks with Finite Memory, (Alajaji and Gharesifard), April 2015.
- Brynn Vadala and Hannah Koke, Profiling Contagious Behaviour in Networks, (Alajaji and Gharesifard), April 2015.
- Darcie Dillon, Katherine Kerr and Sungbok Lee, Design of Region Merging Algorithms for Segmentation of Noisy Images, (Alajaji and Mansouri), April 2014.
- James MacDonald and Peter Thompson, Two-Source Channel Optimized Quantization, (Alajaji and Linder), April 2014.
- Dan Blair, Victoria Buckingham and Adina Goldberg, Design of Region Merging Algorithms for Image Segmentation with an Extension to Splitting, (Alajaji and Mansouri), April 2013.
- Duncan Macdonald and James Spencer, Coding Strategies for Communication Networks with Feedback, (Alajaji), April 2013.
- Tyson Mitchell and Mikael Schlumpf, Joint Source-Channel Coding for Deep-Space Communications, (Alajaji and Linder), April 2013.
- Jordan Rendall and Tayler Sokalski, Efficient Wireless Image Transmission over Noisy Binary Channels with Memory, (Alajaji and Linder), April 2013.
- Ryan Cannon, Andrew Lappalainen and Ramiro Zurkowski, Design of Region Merging Algorithms for Image Segmentation, (Alajaji and Mansouri), April 2012.
- Robert Ballard and Jeffrey Heakes, Optimized Decoding of Binary Images over Channels with Memory, (Alajaji and Takahara), April 2010.
- Matthew Chivers and Stephan Trusevych, Optimal Constellation/Mapping Pairs for Source Adaptive Modulation of Multimedia, (Alajaji and Takahara), April 2008.
- Bryn Gingrich and Wei Tseng, Reliable Communication of Text Documents Over Burst Noise Channels, (Alajaji), April 2007.
- Adam Cohen and Gavin Mitchell, Space-Time Block Codes for Multi-Antenna Fading Channels, (Alajaji), April 2006.
- Marc El Jichi and Paul Heakes, Public Key Cryptography: RSA, Discrete Logarithm, Elliptic Curve Cryptosystems, (Kani and Alajaji), April 2006.
- Brett Galloway and David Powell, Turbo Codes that Exploit the Local Redundancy in Compressed Data, (Alajaji), April 2006.
- Adam Rytwinski and Mike Rooke, Adaptive Modulation Schemes with Channel Coding, (Alajaji and Takahara), April 2006.
- Haider Al-Lawati, Ahmed El Assaad and Karim Khairallah, Space-time Block Codes for Multi-Antenna Fading Channels, (Alajaji), April 2005.
- Tamra Baxter, Ken Edwards and Tim Evans, Soft Decision Combined Source-Channel Coding, (Alajaji), April 2005.
- Ronald Chen, Karen Doxsee, Anthony Payoe and Jeffrey Turner, Information Transmission Near the Shannon Limit: LDPC versus Turbo Codes, (Alajaji and Kashyap), April 2005.
- Tomas Karger, Cameron McKay and Glenn Patterson, Source Adaptive Constellation Mapping for Compressed Multimedia Data, (Alajaji and Takahara), April 2005.
- Sabrina Tang and Marc Whittaker, An Analysis of Public-Key Cryptography Methods: Implementation and Runtime Performance, (Kani and Alajaji), April 2005.
- Andrew MacDonald, Sean Noble and David Richardson, High Data Rate Image Compression and Communication, (Alajaji & Linder), April 2004.
- Raimund Ostrowski and Alex Hlivka, Channel Optimized Vector Quantization over Multi-Antenna Rayleigh Fading Channels, (Alajaji & Linder), April 2004.
- Todd Garrison and Chris Nicola, Multimedia Data Compression: Channel Optimized Vector Quantization over Rayleigh Fading Channels, (Alajaji), April 2003.
- John Hayes, Mapping Optimization of the 32-Cross Constellation for the Modulation of Non-Uniform Sources, (Alajaji & Takahara), April 2003.
- David McKenna and Shaun Filonowicz, Design of an Adaptive Modem for Heterogeneous Data, (Alajaji & Takahara), April 2003.
- Megan Owen, Soft Decision Decoding of Convolutional Codes, (Alajaji), April 2003.
- Shane Bergsma and Nicholas Scipio, Data Compression for Multimedia Communication, (Linder & Alajaji), April 2002.
- Shant Sethian, Jay Shah and Cynthia Thomas, Channel-Optimized Vector Quantization, (Linder & Alajaji), April 2002.
- Gail Bouchette and Andrew Gibson, Channel Optimized Vector Quantization using Deterministic Annealing, (Alajaji & Linder), April 2001.
- Adrian Taylor, Is There a Better Alternative to the Lloyd Algorithm?, (Alajaji & Linder), April 2000.
- Don Chen, Yen Kong, Ed Tang and Rumeet Tanna, Reliable Communication of Non-Uniform IID Sources via Turbo Codes: An Application of Joint Source-Channel Coding, (Alajaji & Davis), April 1999.
- Philippe Durand, Reliable Information Transmission Near the Shannon Limit: Low Density Parity Check Codes, (Alajaji, Davis & R. Kerr - CRC), April 1999.
- Kelly Ferguson and Kitty Lee, Performance of Coded Communication Systems, (Alajaji & Takahara), April 1999.
- Scott Siegler and Bryan Wills, Turbo Codes: Exploiting Markovian Channels, (Alajaji & Davis), April 1999.
- Keith Stewart, Computation of the Rate-Distortion Function for Real-Valued Sources, (Alajaji & Linder), April 1999.
- Serge Mister, Transmission of Correlated Sources over Noisy Channels, (Alajaji), April 1996.
- Nicholas Whalen, Rate-Distortion Function and Capacity-Cost Function, (Alajaji), April 1996.