School of Computer Science and Statistics
HCI is at the forefront of technology evolution, constantly seeking more immersive and intuitive ways for users to interact with digital systems. This project proposes a focused exploration of how VR can reshape HCI paradigms, leading to groundbreaking user experience and usability advancements. The primary objective of this project is to investigate and innovate in … Read more
Multimodal Learning for DeepFake Detection In recent years, the rise of deepfakes—videos that are digitally altered using artificial intelligence (AI) to convincingly depict false events or individuals has sparked significant concerns about the reliability of visual content captured by surveillance systems. This project is driven by the recognition that traditional methods of detecting video manipulation … Read more
Automated surveillance is widely opted for applications such as traffic monitoring, vehicle identification, etc . But, various weather degradation factors such as rain and snow streaks, along with atmospheric veil severely affect the perceptual quality of an image, eventually affecting the performance of these applications. There exist weather specific (rain, haze, snow, etc .) methods … Read more
Speech production is a fundamental aspect of human communication, yet its underlying neural intricacies remain largely unexplored. This project aims to investigate how concepts are translated into spoken language by probing the neural mechanisms governing speech production. In this project, you will analyse brain data from electrophysiology to describe various facets of speech production. Through … Read more
This project will investigate how individuals familiarise with their conversational partners during a dialogue. The student will run an experiment to compare how the neural processing of speech changes as we learn about our interlocutor in different conversational scenarios. The project involves the design of a new experiment, collecting electrical brain data, and analysing that … Read more
Restoring speech communication in individuals that can’t speak or have difficulty speaking (e.g., individuals with ALS) is an important challenge that could benefit many. While many solutions have been proposed that have various limitations, recent progress in machine learning methods (e.g., transformers) open new opportunities. This project aims to decode the intended speech of individuals … Read more
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There is no excerpt because this is a protected post.
There is no excerpt because this is a protected post.
Cubesats are small satellites that are built as on ore more 10cm-sized cubes. There is a growing industry for developing and launching these. Typically their computing requirements are relatively low, and so they often use lightweight versions of operating systems. This project looks at using Promela/SPIN to model and do test generation for some key … Read more