Yasamin Aali, a Master of Science in Computer Science candidate, will defend the thesis titled “Reconfiguring the Path: Evolutionary and Neural Optimization of Hamiltonian Toolpaths for Multi-Material 3D Printing” on Tuesday, August 4 from 9:30 a.m. to 11:30 a.m. The defence will take place in Plaza 600F.
The examination committee includes Melanie Pilkington, Chair; Naser Ezzati-Jivan, External Examiner; Rahnuma Islam Nishat, Supervisor; Renata Queiroz Dividino, Supervisory Committee Member.
Computer Science, FMS, Thesis Defense
Categories: News
Cameron J. Dyrseth, a Master of Science in Physics candidate, will defend the thesis titled “Quantum Localization in Incommensurate Tight-Binding Chains” on Friday, August 14 from 1:00 p.m. to 4:00 p.m. The defence will take place in Plaza 600F.
The examination committee includes Melanie Pilkington, Chair; Jeffery Rau (Univ. of Windsor), External Examiner; Kirill Samokhin, Supervisor; David Crandles and Ganesh Ramachandran, Supervisory Committee Members.
FMS, Physics, Thesis Defense
Categories: News
Areeba Iqbal, a Master of Science in Chemistry candidate, will defend the thesis titled “Exciton interactions in chiral two-dimensional perovskites” on Thursday, August 13, from 1:00 p.m. to 3:00 p.m. The defence will take place in closed format.
The examination committee includes Melanie Pilkington, Chair; Jasneet Kaur, External Examiner; Jianbo Gao, Supervisor; Travis Dudding and Georgii Nikonov, Supervisory Committee Members.
Chemistry, FMS, Thesis Defense
Categories: News
Ryan Gunther, a Master of Science in Statistics candidate, will defend the thesis titled “Dimensionality Reduction Approaches for Baseball Swing Motion Analysis“ on Wednesday, August 12 from 11:00 a.m. to 1:00 p.m. The defence will take place in GSB 405.
The examination committee includes Melanie Pilkington, Chair; Shawn Beaudette, External Examiner; William Marshall, Supervisor; Jan Vrbik and S. Ejaz Ahmed, Supervisory Committee Members.
FMS, Mathematics and Statistics, Statistics, Thesis Defense
Categories: News
Melanie Denommé Stauder, a Doctor of Philosophy candidate in the Department of Biological Sciences, will defend her thesis titled “Analyzing common husbandry practices and potential indicators of welfare in Pogona vitticeps ” on Wednesday, March 4 at 10 AM, in Plaza 600F.
The examination committee includes Michael Owen, Chair; Glenn Tattersall, Supervisor; Noam Miller, External Examiner (Wilfrid Laurier University); Dustin Duncan, Internal External Examiner; Cheryl McCormick, Gaynor Spencer, and Georgia Mason (University of Guelph), Committee Members.
Biological Sciences, FMS, Thesis defence
Categories: News
Master of Science thesis defence in Computer Science
Clement Frimpong Osei, a Master of Science candidate in the Department of Computer Science, will defend his thesis titled “Application of L-Fuzzy Relation to Social Choice Theory” on Friday, August 23 at 11 AM., in PL600F.
The examination committee includes Melanie Pilkington, Chair; Michael Winter, Supervisor; Ke Qiu, External Examiner (Brock University); and Beatrice Ombuki-Berman and Renata Queiroz Dividino, Committee Members.
Computer Science, FMS, Thesis defence
Categories: News
Clement Frimpong Osei, a Master of Science candidate in the Department of Computer Science, will defend his thesis titled “Application of L-Fuzzy Relation to Social Choice Theory” on Friday, Aug. 23 at 11 a.m.., in Plaza building room 600F.
The examination committee includes Melanie Pilkington, Chair; Michael Winter, Supervisor; Ke Qiu, External Examiner (Brock University); and Beatrice Ombuki-Berman; and Renata Queiroz Dividino, Committee Members.
Computer Science, FMS, Thesis defence
Categories: News
Exciting News from Sam Langdon!
Join us in congratulating Sam from the MSc thesis program in Computer Science, a recipient of the prestigious 2024-25 Vector Scholarship in AI!
With a $17.5K award towards her master’s degree, Sam has demonstrated exceptional promise and dedication to advancing AI innovation. This recognition underscores the Vector Institute‘s commitment to nurturing the next generation of AI talent and pushing the boundaries of what’s achievable in this remarkable field.
We can’t wait to see the impact Sam will make as she enhances her AI skill set and contributes to the forefront of AI innovation. Congratulations, Sam!
This is a Cross-Post from the Department of Computer Science.
Award, Computer Science, FMS, Vector
Categories: News
Master of Science thesis defence in Biological Sciences
Elyse Aubry, a Master of Science candidate in the Department of Biological Sciences, will defend her thesis titled “Determining the effect of different cover crops on nematode communities in vegetable production” on Tuesday, May 14 at 1 PM., in GSB 305.
The examination committee includes Ian Patterson, Chair; Ping Liang and Tahera Sultana, Co-Supervisors; Vaughn Mangal, External Examiner, Chemistry and Biotechnology; and Oualid Ellouz, Committee Member.
Biological Sciences, FMS, Thesis defence
Categories: News
Speaker: Tyler McDonald
Abstract: Large Language Models (LLMs) are an emergent tool in many disciplines, with commercially accessible language models providing a simple interface to help solve a variety of problems & daily tasks. While these models are optimized for various common tasks, such as arithmetic reasoning, the exhaustive employment of commercialized language models comes with many challenges, such as potential resource unavailability, cost burdens, and constraints on flexibility. To aid in cultivating a support for open-source language modeling, an often more accessible alternative that allows for scale and size flexibilities, we introduce Trace-of-Thought Prompting: a simple, zero-shot prompt engineering technique responsible for creating observable and rational subproblems designed for delegation to smaller-scale systems. By harnessing the joint benefits of large-scale reasoning with small-scale accessibility, we aim to produce small language models – those below 7 billion parameters – capable of enhanced & transparent reasoning skills on arithmetic reasoning tasks. Our applications of Trace-of-Thought on these arithmetic reasoning problems yields gains as large as 125% on small language models, while providing observable reasoning pathways that are easily corrected on tasks of increasing difficulty. Our findings introduce a critical paradigm towards leveraging the myriad abilities of language models at a variety of scales for accessible problem solving.
Time: 11:00 – 11:45 (Online) Wednesday, May 8
Teams Meeting info:
Computer Science, FMS, large language models, Seminar
Categories: News
