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Ariful Azad
PhD Student [Fall '08 - Current] Department of Computer Science, Purdue University, 305 N. University Street, West Lafayette, IN 47907, USA Office: LWSN 3133 (#10) E-mail: aazad [at] cs.purdue.edu |
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I am a PhD student in the department of Computer Science at Purdue University. I am working with Prof. Alex Pothen on Bioinformatics and parallel graph algorithms. I did my Bachelors in Computer Science and Engg. in the department of CSE at Bangladesh University of Engineering and Technology (BUET).
I grew up in Ullapara, Sirajganj, a beautiful rural area in the northern part of Bangladesh.
High Content flow cytometry: I am working on high contenct flow cytometry data. The goal is to match cell populations across samples to identify the presence (or absence) of different cell types. With many samples from few classes we classify them with templates and attemp to match meta-clusters (a closely related population from different samples).
Parallel Matching in Bipartite Graph: Large scale graph matching algorithms are difficult to parallelize. We aim to address the issues involving in cardinality matching in bipartite graph on multi-threaded architecture (e.g., Cray XMT and Intel Nehalem) and implementing a scalable parallel algorithm. [with Mahantesh Halappanavar and John Feo at PNNL ]
Multithreaded Algorithms for Maximum Matching in Bipartite Graphs
Accepted for publication at 26th IEEE International Parallel & Distributed Processing Symposium, Shanghai, China [IPDPS '12]
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry
Accepted for publication at BMC Bioinformatics
Computing Maximum Matching in Parallel on Bipartite Graphs: Worth the Effort?
Workshop on Irregular Applications: Architectures & Algorithms, Seattle, USA [IAAA '11]
Identifying Rare Cell Population in Comparative Flow Cytometry
[PDF] [SpringerLink]
10th Workshop on Algorithms in Bioinformatics, Liverpool, UK [WABI '10]
Appeared in: Lecture Notes in Computer Science, 2010, Volume 6293/2010, 162-175.
Residual Resampling: Robust Estimators of Error and Fit for Evolutionary Trees and Phylogenomics
[PDF][ArXiv]
ArXiv , Dec 2009
FlowCAP-II Presentation: flowMatch: A tool to create feature-preserving templates by population matching
Flow Cytometry: Critical Assessment of Population Identification Methods, NIH, Bethesda, Maryland [FlowCAP-II '11]
GLBIO '11 Presentation: Identifying Cross Class Phosphorylation in Comparative Flow Cytometry
[PDF]
Great Lakes Bioinformatics Conference, Athens, Ohio [GLBIO '11]
WABI '10 Presentation: Identifying Leukemic Cell Populations in Comparative Flow Cytometry
[PDF]
10th Workshop on Algorithms in Bioinformatics, Liverpool, UK [WABI '10]