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Nurjahan Begum PhD Student Department of Computer Science & Engineering University of California, Riverside Office: 368 Winston Chung Hall (WCH), Bourns College of Engineering,
Riverside, CA -92521 Email: nbegu001 AT cs DOT ucr DOT edu
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I have finished my PhD from the Department of Computer Science & Engineering,
University of California, Riverside. I come
from a beautiful small country, Bangladesh. My research area is Data Mining, Time Series Analysis,
Information Retrieval, and Pattern Recognition. Currently I am doing my PhD
under the supervision of the most brilliant person I have ever seen, Professor Dr. Eamonn Keogh. My DBLP
is here.
My Google Scholar profile is here. ·
I am looking for full-time opportunities
now. Please feel free to drop me email
with job opportunities. Here is my resume. · May 25, 2016: Successfully defended my PhD Dissertation titled Exploiting Time Series Primitives to Solve Realistic Data Mining Problems. [thesis] ·
October 16, 2015: My Summer
project in Yahoo Labs was selected to be filed as a defensive publication. ·
June 15, 2015: Started working as
a Summer Intern in Yahoo! Labs, CA. ·
May 12, 2015: Our paper titled Accelerating Dynamic Time Warping
Clustering with a Novel Admissible Pruning Strategy, was accepted in KDD 2015. ·
June 16, 2014: Started working as
a Summer Intern in Bell Labs, NJ. ·
June 6, 2014: Our paper titled Rare Time Series Motif Discovery from
Unbounded Streams was accepted in VLDB 2015. ·
August 30, 2013: Our IRI paper
was selected for submission in IRI best papers! ·
June 20, 2013: Our paper titled Towards a Minimum Description Length
Based Stopping Criterion for Semi-Supervised Time Series Classification
was accepted in IRI 2013. ·
March 6, 2013: Successfully
qualified as a PhD candidate. 1.
Intern Scientist, Yahoo! Labs
Summer 2015 Project: Multi Dimensionl Time
Series Shapelet Classification Using Discriminative Model Manager: Yi Chang Mentors: Jianhui
Chen and Makoto
Yamada Latest: My project is selected to be filed as a defensive publication
by Yahoo! 2.
IP Platform Researcher Intern, Bell Labs
(Alcatel-Lucent, USA Inc.) Summer 2014 Project: Multi Dimensionl Time
Series Clustering Using Minimum Description Length Mentor: Huseyin Uzunalioglu 3. Reviewer TKDD,DMKD, EAAI,
AISC, NEUCOM,
TKDE, MiLeTS 4.
Teaching Assistant, UC Riverside Fall 2012-Spring 2013 Courses taught: I.
CS 006 (Effective Use of
Worldwide Web) II.
CS 008 (Introduction to
Computing) 5. Software Engineer, IMS (Intercontinental Medical Statistics) Health December 2009-August 2011 1.
The UCR Time Series Classification Archive, Yanping Chen, Eamonn Keogh, Bing Hu, Nurjahan
Begum, Anthony Bagnall, Abdullah Mueen, and Gustavo Batista, (URL) July, 2015. 2.
Accelerating Dynamic Time Warping Clustering with a Novel Admissible
Pruning Strategy, Nurjahan
Begum, Liudmila Ulanova, Jun Wang, and Eamonn Keogh, ACM SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD), 2015. Acceptance Rate: 19%. [pdf] [Project Page] [Talk] [Slides] [Poster] 3.
Scalable Clustering of Time Series with U-Shapelets, Liudmila Ulanova, Nurjahan Begum,
and Eamonn Keogh, SIAM Int'l Conference on Data Mining (SDM), 2015. [pdf]
[Project Page] 4.
Rare Time Series Motif Discovery from Unbounded Streams, Nurjahan Begum,
and Eamonn Keogh, Int'l Conference on Very Large Databases (VLDB), 2015. [pdf]
[Project Page] [Slides]
[Poster] 5.
Rare Pattern Discovery from Time Series, Nurjahan Begum, and Eamonn Keogh, Grace Hopper
Celebration of Women in Computing (GHC), 2014.
[pdf] 6.
Semi-supervision Dynamically Improves Time Series Clustering under
Dynamic Time Warping, Hoang Anh Dau, Nurjahan Begum, and Eamonn Keogh, Int’l Conference
on Information and Knowledge Management (CIKM), 2016.
[pdf]
[Project Page] 7.
Clustering in the Face of Fast Changing Streams, Liudmila Ulanova, Nurjahan Begum,
Mohammad Shokoohi-Yekta and Eamonn
Keogh, SIAM Int'l Conference on Data Mining (SDM), 2016.
[pdf][slides][Poster][Project Page] 8.
A Minimum Description Length Technique for Semi-Supervised Time Series
Classification, Nurjahan Begum, Bing Hu, Thanawin
Rakthanmanon and Eamonn Keogh, Integration
of Reusable Systems, Special Issue in Advances in Intelligent and Soft
Computing, Springer Berlin Heidelberg (AISC), (IRI Best Papers), 2014.
[pdf] 9.
Towards a Minimum Description Length Based Stopping Criterion for
Semi-Supervised Time Series Classification, Nurjahan Begum, Bing Hu, Thanawin
Rakthanmanon and Eamonn Keogh, in the
Proceedings of the 14th IEEE International Conference on
Information Reuse and Integration (IRI), 2013. Acceptance Rate: ~26%.[pdf]
[slides]
[Project Page]. 10.
Optimal Queries Processing in a Heterogeneous Sensor Network using
Multicommodity Network Flow Method, Nurjahan Begum, Samia Tasnim and Mahmuda Naznin, in
the Proceedings of the17th IEEE International Conference on
Industrial Engineering and Engineering Management (IE&EM), 2010. [pdf] PhD, Spring 2016 Department of Computer
Science & Engineering University of California,
Riverside Masters of Science, Winter 2016 Department of Computer
Science & Engineering University of California,
Riverside Bachelor of Science, 2004-2009 Department of Computer
Science & Engineering Bangladesh University of
Engineering & Technology |
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