Jesin
Jesin Zakaria                                                                                    

PhD Student
Department of Computer Science and Engineering
University of California, Riverside
Engineering BU2, Room 368
Riverside, CA 92521-0144

Email: jzaka001 AT cs DOT ucr DOT edu

About Me       Research       Education       Publications       Projects       Professional
About me
Hello I am Jesin Zakaria, a third  year PhD student at the Department of Computer Science in University of California Riverside.

Research
My research area is Data Mining and Pattern Recognition.
I am particularly interested in developing intelligent algorithms for analyzing high dimensional, unstructured data objects like time series and multimedia data.
My advisor is Professor Dr. Eamonn Keogh.

Education
PhD, Fall 2010-Current
Department of Computer Science and Engineering
University of California, Riverside

Bachelor of Science, Graduated in 2009
Department of Computer Science and Engineering
Bangladesh University of Engineering and Technology


Selected Publications
  • Clustering Time Series using Unsupervised-Shapelets, Jesin Zakaria, Abdullah Mueen, Eamonn Keogh, in the Proceedings of IEEE International Conference on Data Mining (ICDM) 2012. [pdf][webpage]
  • Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping, Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Gustavo Batista, Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn Keogh, in the Proceedings of ACM SIGKDD 2012. [pdf][webpage] [won the BEST PAPER AWARD]
  • Mining Massive Archive of Mice Sounds with Symbolized Representations, Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, Khaleel Razak, Eamonn Keogh, in the Proceedings of Siam International Conference on Data Mining (SDM) 2012. [pdf][webpage]

Research Projects
  • Unsupervised clustering of Time Series
  • Mining Trillion Data Objects
  • Rule Discovery of Time Series Using MDL
  • Mining Massive Archives of Mice Vocalizations in Visual Space
  • Unsupervised Clustering of segmented/non-segmented text
Professional Activities
  • Research Intern at Teradata.Aster (June, 2012 - Sep, 2012)
    • developed analytical functions for large scale time series data using SQL/MR(MapReduce) framework
    • got experience on MapReduce
    • got experience on Big Data problems
  • Research Assistant at UC Riverside (Sep, 2010 - current)
    • working with Dr. Eamonn Keogh on different Data Mining problems
  • Teaching Assistant at UC Riverside (Sep, 2011 - Dec, 2011)
    • took lab for CS006, Effective Use of World Wide Web

My research is being funded by the UCR Computational Anthropology Project. ( NSF IIS - 1161997, NSF 0803410 and 0808770)