Lassonde Undergraduate Summer Research Conference 2024
In-Person Event
Date: Thursday, August 15, 2024
Location: Bergeron Centre
ABOUT
Over 70 undergraduate students from the Lassonde School of Engineering and beyond will be presenting their research projects during this conference. The students are presenting their research on a wide range of projects such as
- Finding bugs in Java code
- AI-enabled condenser design
- Ethical computer vision using tools such as model introspection and manipulation
- Removing Fluoxetine from wastewaters
- and many more interesting topics…
The research projects were funded through the following programs:
- Natural Sciences and Engineering Research Council of Canada: Undergraduate Student Research Award (NSERC USRA)
- Lassonde Undergraduate Research Award (LURA)
Check out the 2023 winners below!
Note: 2024 winners will be updated after the conference
Best Poster Presentation
1st Place
Prachurya Deepta Adhikary
Department of Electrical Engineering & Computer Science
Markov Chain Monte Carlo Method for Generating Naturalistic Shapes
2nd Place
Ammar Mohamed Mohieldin Ahmed Abouelmaati
Department of Electrical Engineering & Computer Science
Optimal Spectrum Partitioning and Power Allocation in Semi-Integrated Sensing and Communications System
3rd Place
Haydar Isa Senturk
Department of Electrical Engineering & Computer Science
Design and Optimization of Micro-Coils for Efficient Power Transfer to Brain-Implanted Medical Devices
Best Oral Presentation
1st Place
Alice Fours
Department of Mechanical Engineering
Vascularization in Tissue Engineering: Engineering Functional Blood Vessels in 3D-Printed Biomaterials for Enhanced Transplantation Outcomes
2nd Place
Sharon Musa
Department of Electrical Engineering & Computer Science
Audio-Video Scene Recognition
3rd Place
Tyler Chung
Department of Earth & Space Science & Engineering
Development of a Remote 2-D Imaging Fabry-Pérot Spectrometer for Climate Change Sensing and Monitoring
Student Choice Awards
Best Poster Presentation
Kumar Vaibhav Jha
Department of Electrical Engineering & Computer Science
Graph Based Multi-Object Tracking for Traffic Intersection Analytics
Best Oral Presentation
Stefan de Lasa
Department of Electrical Engineering & Computer Science
Using Semantics and Geometry to Scale Monocular Depth Estimation Models