Real-time embedded sensor and wireless technology for next generation mobile machine control devices

The intern will be working on enabling real-time navigation products for machine control applications. The real-time aspect of the project will help improve guidance and control systems for applications such as autonomous steering of precision agriculture tractors and combines. The intern will work to reduce the latencies of the navigation solution to the guidance actuation system. TPI is working with a machine control customer that will use this technology for autonomous steering control of machinery in North America, Europe and Russia.

Optimum Biometric Authentication Scheme Based on Polar Codes

In this project, we consider a biometric authentication scheme as a beneficial and alternative approach for traditional cryptographic authentication systems. Our goal here is to design the component of a biometric authentication scheme, such that the leakage information about the biometric template and  the related secret key to the person who has access to the stored data is minimized. For this purpose, we model this scheme as two communications systems: namely as an XOR channel and a wiretap channel.

Appearance Based SLAM (ASLAM) for Indoor/Outdoor Urban Terrain

The objective of this project is the research of multi-sensor Appearance Based SLAM (ASLAM) system for day/night operations in indoor and outdoor environments. These algorithms would perform place recognition based on multiple sensor data (imagery, laser, and radar) gathered from a UGV (Unmanned Ground Vehicle) as it travels through the environment. When the vehicle returns to a previously visited scene, the ASLAM algorithm will recognize the scene, update its internal representation, report this to the UGV.

PLACESPEAK

The purpose of this project is to research and develop a business & technical model for a web-based geo-authenticated public consultation service. Combining methodologies from social media, e-commerce & community consultation, this project will analyze best practices in each area to determine the most appropriate model for a scalable platform for targeted community engagement. Qualitative & technical research, in addition to a beta site evaluation at the City of Vancouver, will be conducted to provide the basis for developing the final report and prototype model.

Collaborative Recommendation Systems in Online Social Networks

 

The intern, along with his collaborator will explore both theoretically and empirically models of influence over social networks, recommendation systems of online content for users in social networks. Additionally, the intern will study various different ways to cluster and group the content of networks such as Twitter in an automated fashion. Additionally, the intern plans to study various different algorithmic problem the pertain to information retrieval and online content.

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