projects
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projects [2015/08/17 12:02] – jarek | projects [2015/08/26 21:59] – jarek | ||
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====== Proposed Projects for Fall 2015 ====== | ====== Proposed Projects for Fall 2015 ====== | ||
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+ | ======Clustering High-Dimensional Data Sets====== | ||
- | =====Data visualization in Skydive===== | + | **Supervisor: |
- | **Supervisor: | + | Clustering is a basic technique for analyzing data sets. Clustering is the process of grouping data points in a way that points within a group are |
+ | more similar to each other than points in other clusters. Many clustering algorithms have been developed over the years. However no single algorithm works well for all data sets. Further, most clustering algorithms have running times of the order of n^2 or n^3, so that they are not feasible for data sets with hundreds of thousands of points. In this project we will design good clustering algorithms for large real data sets. In particular we are interested in | ||
+ | Biological data sets. | ||
+ | |||
+ | Our data sets will include those obtained from Flow Cytometry data. Flow Cytometry is a common technique in many areas of Biology, particularly Immunology. Typical usage involves testing a blood sample for 25 attributes on a per-cell basis, and thus typical data sets are arrays of 500,000 points in a 25 dimensional space. The aim is to identify clusters that correspond to a biologist' | ||
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+ | No Biology knowledge is required. The student should be a strong programmer. Knowledge of C/C++ is desirable but not essential. The work involves reading and understanding existing algorithms and working with the supervisor to design and implement improved algorithms and to measure the performance of the proposed algorithm(s). | ||
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+ | For more information, | ||
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+ | Required Background: General CSE408x prerequisites | ||
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+ | \\ | ||
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+ | ======Metaheuristic-based Optimization techniques====== | ||
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+ | **Supervisor: | ||
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+ | Optimization is a crucial step in many computational problems. For computational problems that seem (or are known to be) intractable, | ||
+ | |||
+ | The student should be a strong programmer. A good grasp of algorithms and knowledge of C/C++ are desirable but not essential. The work involves reading and understanding existing algorithms and working with the supervisor to design and implement improved algorithms and to measure the performance of the proposed algorithm(s). | ||
+ | |||
+ | For more information, | ||
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+ | Required Background: General CSE408x prerequisites | ||
+ | |||
+ | \\ | ||
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+ | ======Data visualization in Skydive====== | ||
+ | |||
+ | **Supervisor: | ||
Skydive is a prototype system designed for database visualization using a concept of the so called | Skydive is a prototype system designed for database visualization using a concept of the so called | ||
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- | =====Genome-wide identification of plant micro RNAs===== | ||
+ | ======Genome-wide identification of plant micro RNAs====== | ||
- | **Supervisor: | + | |
+ | **Supervisor: | ||
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- | =====Dynamic Interface Detection and Control Project===== | ||
- | **Supervisor: | + | ======Dynamic Interface Detection and Control Project====== |
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+ | **Supervisor: | ||
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- | ====== DDoS Attack using Google-bots ====== | ||
- | **Supervisor**: Ntalija Vlajic | + | ===== DDoS Attack using Google-bots ===== |
+ | |||
+ | **Supervisor: | ||
**Recommended Background**: | **Recommended Background**: | ||
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====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ====== | ====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ====== | ||
projects.txt · Last modified: 2016/01/13 20:05 by stevenc