Engineering and IT

Objectives:

This project aims at understanding the dynamics of interdependency between combinatorial optimization problems. In complex systems, it is natural that two or more sub-systems are interconnected. Each of these sub-systems attempts to optimize its own performance. However, the optimal solution for one sub-system depends on the optimal solution for the other sub-systems. This interdependency is not understood well in the combinatorial optimization literature. This project will make a breakthrough in this area.

Objectives:

Eye tracking is a fast evolving technology. Currently, a number of problems exist in many eye-tracking systems when head movements occur, and other sources of noise interfere with the video signal. This project is to develop efficient and fast techniques for generating a smooth and robust control of objects on a screen using artificial intelligence models. The expected outcome of this project is a better eye tracking system and an artificial intelligence model that integrates eye movement with actions in a game environment.

Objectives:

Engaging in a game can be mentally demanding. It is difficult to estimate the long-term impact of mental load of the gaming experience. This project will develop artificial intelligence models to extract cues of cognitive load and use these cues to adjust and adapt a game to maintain and sustain a healthy gaming experience. Cognitive load is defined here as the rate of depletion of mental resources as a player engages and plays a game.

Expected Background Knowledge:

Objectives:

A true gaming experience occurs when the human becomes situated and embodied within the game. Integrating the human emotion in a game would engage the human and improve the game experience. This project will build a model to extract linguistic cues that capture human emotion and integrate these cues in an intelligent manner within a game. The project will develop an artificial intelligence model to extract and integrate these cues within a game.

Expected Background Knowledge:

Objectives:

Conventional authentication mechanism relies on password or possession of token. However, password and token cannot genuinely identify a person as both password and token can be presented by someone else. Biometrics such as fingerprint, face, iris etc are quite uniquely representing individual. Therefore they are good tools for identity authentication. This project investigates the latest development in the field of biometrics such as bio-cryptography etc. This project is in collaboration with Carnegie Mellon University (USA).

Objectives:

Conventional authentication mechanism relies on password or possession of token. However, password and token cannot genuinely identify a person as both password and token can be presented by someone else. Biometrics such as fingerprint, face, iris etc are quite uniquely representing individual. Therefore they are good tools for identity authentication. However, biometrics stored in the template also needs to be protected. This project investigates how to protect biometrics stored in the template.

Description of work:

Objectives:

Conventional authentication mechanism relies on password or possession of token. However, password and token cannot genuinely identify a person as both password and token can be presented by someone else. Biometrics such as fingerprint, face, iris etc are quite uniquely representing individual. Therefore they are good tools for identity authentication. This project investigates latest biometrics authentication technology, i.e., 3D fingerprint identification.

Description of Work:

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