|
|
Hi, My name is Abdullah Al Mueen. I am a 3rd year PhD student
at the
department of Computer Science and
Engineering
in University of California,
Riverside.
I got my bachelor degree in computer science and engineering from
Bangladesh University of Engineering and Technology (BUET). Dr. Eamonn Keogh is my adviser. Currently I am working on time series motif discovery on large scale databases. Here is my resume.
Last summer, I was a research intern at Microsoft Research, Redmond and worked with Dr. Suman Nath.
|
|
Research
|
I
am broadly interested in Data Mining and Pattern
Recognition.
I like playing with large data and their inherent structures. I am particularly interested in
high dimensional data objects and their
-
Similarity measures
- Clustering/Classification
- Geometric Properties, Lower Bounds
-
Joins, Nearest Neighbor Search
My publications are
-
Finding Time Series Motifs in Disk-Resident Data, Abdullah Mueen, Eamonn Keogh, Nima Bigdely-Shamlo, to appear in IEEE International Conference on Data Mining, ICDM 2009.
This paper is selected as one of the best papers for possible publication in Knowledge and Information Systems (KAIS). Here is the paper.
-
Exact Discovery of Time Series Motifs, Abdullah Mueen, Eamonn Keogh, Qiang Zhu, Sydney Cash, Brandon Westover, In the Proceedings of SIAM International Conference on Data Mining, pp. 473-484, SDM 2009.
Here is a supporting webpage for this paper that contains all the datasets.
- A Heuristic Algorithm for Individual Haplotyping with Minimum Error Correction, Abdullah Al Mueen, Md. Shamsuzzoha Bayzid, Md. Maksudul Alam, Md. Saidur Rahman, In the Proceedings of International Conference on BioMedical Engineering and Informatics, pp. 792-796, BMEI 2008.
My research is being funded by the UCR Computational Anthropology Project. (NSF 0803410)
|
|
Teaching
|
|
|
|
Graduate Courses
|
- Fall'08
- Advanced Computer Networks
- Seminar on XML Processing
- Spring'08
- Artificial
Intelligence
- Database
Management System
- Directed Studies
- Winter'08
- Theory
of Computation
- Computational
Methods for Biomolecular Data
- Parallel
Process Architecture
- Fall'07
- Design
and Analysis of Algorithms
- Data
Mining Techniques
- Seminar
on Data Mining
|
|
Contact
|
or
Room 368,
Engineering Building Unit 2,
Univerity of California, Riverside.
California 92521.
| 
|
|
