Master’s Thesis Presentation • Artificial Intelligence — 3D Online Multi-Object Tracking for Autonomous Driving
Venkateshwaran Balasubramanian, Master’s candidate
David R. Cheriton School of Computer Science
Venkateshwaran Balasubramanian, Master’s candidate
David R. Cheriton School of Computer Science
Azin Nazari, Master’s candidate
David R. Cheriton School of Computer Science
In this thesis, we study comparison based problems in a new comparison model called three-way, where a comparison can result in { >, =, < }.
Basit Khurram, Master’s candidate
David R. Cheriton School of Computer Science
Aman Jhunjhunwala, Master’s candidate
David R. Cheriton School of Computer Science
Mohammed Alliheedi, PhD candidate
David R. Cheriton School of Computer Science
The central focus of this thesis is rhetorical moves in biochemistry articles. Kanoksilapatham has provided a descriptive theory of rhetorical moves that extends Swales’ CARS model to the complete biochemistry article. The thesis begins the construction of a computational model of this descriptive theory. Attention is placed on the Methods section of the articles.
Navid Nasr Esfahani, PhD candidate
David R. Cheriton School of Computer Science
Linear All-or-nothing Transforms are unconditionally secure cryptographic tools with various applications, for example, in secure distributed storage and secure network coding.
Researchers at the David R. Cheriton School of Computer Science have developed a blueprint for designing effective information systems that will help parents receive efficient updates about their school-aged children.
The system comes out of a study that examined the use of technologies such as GPS, fitness trackers and surveillance applications and the best ways these can be used to inform parents while respecting privacy.
Zhong Sheng Hu, Master’s candidate
David R. Cheriton School of Computer Science
Cheriton School of Computer Science Professor Raouf Boutaba, his graduate students and international colleagues have received two best paper awards at NetSoft 2019, the 5th IEEE International Conference on Network Softwarization.
Mariana Alves-Pereira
Lusófona University