Mphil Thesis In Computer Science

Mphil Thesis In Computer Science-84
By dispensing with global clocks and instead using flexible handshaking between components, asynchronous design offers the benefits of lower power consumption, greater ease of integration of multiple cores, and greater robustness to manufacturing and runtime variation.Our researchers work on all aspects of asynchronous design, including circuits, architectures, and CAD tools.Our department is engaged in research in several exciting new areas within computer architecture.

By dispensing with global clocks and instead using flexible handshaking between components, asynchronous design offers the benefits of lower power consumption, greater ease of integration of multiple cores, and greater robustness to manufacturing and runtime variation.Our researchers work on all aspects of asynchronous design, including circuits, architectures, and CAD tools.Our department is engaged in research in several exciting new areas within computer architecture.

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We have investigated a wide range of problems including haplotype inference, imputation, genome-wide association study, alternative splicing analysis, copy number variation detection, methylation, genome annotation and visualization.

Immunology, Development and Differentiation, and Metagenomics: We use novel measurement techniques as well as machine learning methods in understanding the interplay between these areas, with the aim of discovering the forces that shape the immune system throughout life.

The thesis should not normally exceed 50,000 words and must make an original contribution to knowledge and contain work of publishable quality.

The thesis must then be defended in a viva voce (oral) examination before a degree can be awarded.

It has become increasingly clear that the underlying mechanisms have a complex basis in which observed clinical outcomes result from a diverse range of causes interconnected through networks of genetic, biological and environmental interactions.

Mphil Thesis In Computer Science

The advances in high-throughput genotyping and sequencing have generated massive amounts of data that allow genome-wide analysis to be performed at much finer resolution than before, but at the same time posed great computational challenges.We have worked on a wide range of cutting edge problems in the area of bioinformatics and computational biology.Computational Genetics: Advances have been made over the last decade in our understanding of how genes influence phenotypes and contribute to disease susceptibility.Some of the recent research topics include image-generation algorithms, geometric and physics-based modeling, computer animation, multi-modal interaction techniques (including haptics, audio, and project-based rendering), model and motion acquisition, large-scale data management, analysis, and visualization, graphics hardware, display devices, and their applications.Traditional computer science has assumed that a single user interacts with a computer program at any one time.The distributed and multicore processing platforms on which control algorithms are implemented today also defy the traditional view of a centralized controller that has a synchronized access to all sensors, can compute all control inputs instantaneously, and can provide all actuations synchronously.Instead new controller design and implementation strategies that marry control theory with formal methods, and other branches of Computer Science like program analysis and compilers is becoming important.A key area of interest is application to network-on-a-chip for integration of multiple heterogeneous cores.Computer graphics research at UNC investigates the representation, creation, and manipulation of image data that serve as the visual interface between people and computers.Reducing power consumption is also important for desktop computing to alleviate challenges of heat removal and power delivery.A special focus in our department has been on the development of energy-efficient graphics hardware.

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