Liang Zhang, Personal Web Page
Liang Zhang

Ph.D. Candidate

Department of Data Science
Worcester Polytechnic Institute
Address: Fuller Labs 319
Email: lzhang6@wpi.edu
Advisor: Dr. Mohamed Y. Eltabakh


| About | News | Publication | Experience | Teaching | Education |

About

I am a Ph.D. candidate in the Data Science Department at Worcester Polytechnic Institute. My general research interests include Large Scale Time Series Analysis, Query Processing and Optimization, Approximate Query Processing and Deep Knowledge Tracing. I am a member of the DSRG Lab, working with Prof. Mohamed Y. Eltabakh and Prof. Elke A. Rundensteiner. Before joining the DSRG Lab, I worked with Prof. Neil T. Heffernan on Data Mining in Assistments Lab for Master Thesis. I have 10+ years software development and project management experience in industry.

News

  • Sep 25, 2018: My research paper TARDIS: Distributed Indexing Framework for Big Time Series Data. is accepted by 35th IEEE International Conference on Data Engineering ICDE, 2019.
  • Jun 21, 2018: My research Spark-ITS: Indexing for Large-Scale Time Series Data is accepted by Spark+AI Summit Europe 2018, and I give a presentation at the conference at Oct 3th 2018.
  • Jan 19, 2018: My poster TARDIS: Distributed Indexing Framework for Big Time Series Data is accepted by NEDB 2018.
  • Dec 5, 2017: I pass my Phd reseach qualifier, my presentation is about distributed indexing for big time series.
  • Apr 6, 2017: My Master Thesis instructed by Prof. Neil T. Heffernan and Prof. Diane M. Strong is submitted to WPI ETD.
  • Feb 8, 2017: My paper Incorporating rich features into deep knowledge tracing is accepted by Learning@ Scale 2017.
  • Jan 5, 2017: I transfer to WPI Data Science Phd Program and join DSRG Lab.
  • Jun 1, 2016: I start to work in Assistments Lab for my master thesis instructed by Prof. Neil T. Heffernan.
  • Jan 5, 2015: I join WPI Data Science Master Program.

Publication

  • Liang Zhang, Noura Alghamdi, Mohamed Y. Eltabakh, Elke A. Rundensteiner. TARDIS: Distributed Indexing Framework for Big Time Series Data. Accepted by ICDE, 2019
  • Liang Zhang, Noura Alghamdi, Mohamed Y. Eltabakh, Elke A. Rundensteiner. Spark-ITS: Indexing for Large-Scale Time Series Data. Spark+AI Summit Europe , 2018 [Link]
  • Joseph Beck, Anthony F. Botelho, Seth Adjei and Liang Zhang. A deep learning approach to student competence. In submission to EDM, 2018
  • Liang Zhang, Xiaolu Xiong, Siyuan Zhao, Anthony Botelho, Neil T. Heffernan. Incorporating rich features into deep knowledge tracing. Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 169-172. [Link]

  • Experience

    • 01/2014 - 12/2014: Xianjin Tech, Technical Director, Taiyuan, China
    • 05/2009 - 12/2013: Ericsson, Senior Solution Manager, North Regin, China
    • 03/2006 - 05/2009: Huawei Deutschland GmbH, Product Manager, Bonn, Germany.
    • 02/2004 - 02/2006: Huawei R&D Center, Software Engineer, Shen Zhen, China.

    Teaching

  • CS 4432: DATABASE SYSTEMS II
  • CS 3733: SOFTWARE ENGINEERING
  • CS 585: BIG DATA MANAGEMENT

  • Education

  • 01/2015 - 12/2016: Worcester Polytechnic Institute, MS - Data Science
  • 09/2000 - 07/2004: NorthWest University, BS - Computer Science
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