Louai Alarabi

Department of Computer Science at UMM-ALQUR AUniversity Mecca, Kingdom of Saudi Arabia
Headquarter of College of Computers and Information Systems, Al-Abdiyyah, Mecca, Saudi Arabia, 24318
Office: 1084
lmarabi@uqu.edu.sa

Louai Alarabi is currently assistant professor at UMM-ALQURA University in the department of computer Science. He graduatede from the Computer Science and Engineering Department at the University of Minnesota Twin Cities. He is a member of the Data Management Lab supervised by Prof. Mohamed Mokbel. He received his B.SC at Umm Al-Qura University in Computer Science. His research interest lies in the board area of databases with the focus on big data management and spatio-temporal computing. He is the inventor of ST-Hadoop, a comprehensive distributed spatio-temporal data management system. He also invented TAREEG, a distributed MapReduce framework for extracting a spatial feature from the map. Louai enjoys building systems; he developed several other systems including MNTG, SHAREK , and TAGHREED. His research recognized by the first place and a gold medal award in student research competition at ACM SIGSPATIAL/GIS 2018, among best paper award at SSTD 2017, Finalist of student research competition at ACM SIGMOD 2017, and best demonstration award at U-Spatial Symposium 2014. His research funded by a collaboration with UMM-AlQURA Universtiy, KACST GIS Technology Innovation Center, and University of Minnesota. Louai worked as software engineer for two years in industry at Advanced Electronic Company Ltd. Louai also worked as research assistant at the KACST GIS Innovation Center for seven months. Louai has a teaching experience, as he worked as teaching assistant at both UMM-AlQURA Universtiy and the University of Minnesota.


Experience

Assistant Professor

Nov 2019 -Present

Teaching Assistant

Responsibilities included : Preparing and discussing homework exercises and programming assignments, delivering lab tutorials and recitations, and grading exams and quizzes.
Courses: CSCI-4061:Operating System, and CSCI-4707:Practice of Database Systems

Jan 2017 - JUN 2019

Research Assistant

Member of the Data Management group doing research in microblog data management and big spatio-temporal data processing, building these systems as a proof of concept using and extending SpatialHadoop to support processing and indexing the temporal dimension, document the outputs as research papers, and giving demonstrations for business purposes.

Feb 2014 - Aug 2014

Teaching Assistant

College of Computer and Information System, UMM-AlQURA University

Responsibilities included : Preparing and discussing homework exercises and programming assignments, delivering lab tutorials and recitations, and grading exams and quizzes, finally publishing a free online tutorial of Clips an artificial intelligent language for students.
Courses: Computer Graphics, Advanced Programming Languages, Structured Programming Languages, Expert System , and Software Engineering.

Sep 2010 - Aug 2011

Software Enginner

Advanced Electronics Company

Member of a research and development team mainly working on implementing a DLMS protocol on ARM Processor. Also, developed Electronic Gateway desktop application called Parameterization Software PS, where it has designed and developed as a second generation of Digital Meters for Saudi Electrical Company under the Authority of AEC.

Dec 2008 - Sep 2010

Education

Ph.D. University of Minnesota

Computer Science - Big spatio-temporal Data Management

GPA: 3.604

Sep 2015 - Present

M.S. University of Minnesota

Computer Science

GPA: 3.515

Sep 2012 - Jun 2015

B.Sc. UMM-AlQURA University

Computer Science

GPA: 3.56

Sep 2003 - Jun 2008

Publications

Journals

  1. Louai Alarabi, Mohamed F. Mokbel , Mashaal Musleh ST-Hadoop: a MapReduce framework for spatio-temporal data Geoinformatica, Springer US, July 2018

  2. Xiaochuang Yao, Mohamed F. Mokbel, Sijing Ye, Guoqing Li, Louai Alarabi , Ahmed Eldawy, Zuliang Zhao, Long Zhao, and Dehai Zhu. LandQv2: A MapReduce-Based System for Processing Arable Land Quality Big Data International Journal of Geo-Information, ISPRS Int. J. Geo-Inf. 2018, 7(7), 271, July 2018

  3. Xiaochuang Yao, Mohamed F. Mokbel, Louai Alarabi, Ahmed Eldawy, Jianyu Yang, Wenju Yun, Lin Li, Sijing Ye, Dehai Zhu Spatial coding-based approach for partitioning big spatial data in Hadoop Journal of Computers & Geosciences, Volume 106, September 2017

  4. Amr Magdy, Mashaal Musleh, Kareem Tarek, Louai Alarabi, Saif Al-Harthi, Hicham G. Elmongui, Thanaa M. Ghanem, Sohaib Ghani, Mohamed F. Mokbel "Taqreer: A System for Spatio-temporal Analysis on Microblogs" IEEE Data Eng. Bull. 38(2): 68-76 (2015)

Conference Proceeding

  1. Louai Alarabi, Mohamed F. Mokbel , Mashaal Musleh ST-Hadoop: A MapReduce Framework for Spatio-temporal Data International Symposium on Spatial and Temporal Databases August 21-23, 2017, Washington, D.C, USA SSTD 2017, Washington, D.C, USA

  2. Ahmed Eldawy, Louai Alarabi, Mohamed F. Mokbel Spatial Partitioning Techniques in SpatialHadoop 41st International Conference on Very Large Data Bases, August 31st - September 4th 2015 VLDB 2015, Kohala Coast,Hawaii

  3. Bin Cao, Louai Alarabi, Mohamed F. Mokbel, Anas Basalamah SHAREK: A Scalable Dynamic Ride Sharing System 16th IEEE International Conference on Mobile Data Management 15 - 18 June, 2015 MDM 2015, Pittsburgh, Pennsylvania, USA

  4. Louai Alarabi, Ahmed Eldawy, Rami Alghamdi, Mohamed F. Mokbel "TAREEG: A MapReduce-Based System for Extracting Spatial Data from OpenStreetMap 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) SIGSPATIAL 2014, , Dallas, TX, USA

  5. Amr Magdy, Louai Alarabi , Saif Al-Harthi , Mashaal Musleh , Thanaa M.Ghanem, Sohaib Ghani, Mohamed F. Mokbel "Taghreed: A System for Querying, Analyzing, and Visualizing Geotagged Microblogs 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) SIGSPATIAL 2014, , Dallas, TX, USA

  6. Mohamed F. Mokbel, Louai Alarabi, Jie Bao, Ahmed Eldawy, Amr Magdy, Mohamed Sarwat, Ethan Waytas, and Steven Yackel. "MNTG: An Extensible Web-based Traffic Generator". In Proceedings of the 13th International Symposium on Spatial and Temporal Databases, SSTD 2013, Munich, Germany, August 2013.


Conference Demonstration

  1. Louai Alarabi, Mohamed F. Mokbel "A Demonstration of ST-Hadoop: A MapReduce Framework for Big Spatio-temporal Data". Proceedings of the VLDB Endowment, Vol. 10, No. 12, VLDB 2017 Munich, Germany, from August 28th to September 1, 2017

  2. Louai Alarabi, Mohamed F. Mokbel, Bin Cao, Liwei Zhao, Anas Basalamah "A Demonstration of SHAREK: An Efficient Matching Framework for Ride Sharing Systems". 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2016), SIGSPATIAL 2016, San Francisco Bay Area, California, USA

  3. Amr Magdy, Louai Alarabi, Saif Al-Harthi, Mashaal Musleh, Thanaa M. Ghanem, Sohaib Ghani, Saleh Basalamah, and Mohamed F. Mokbel. Demonstration of Taghreed: A System for Querying, Analyzing, and Visualizing Geotagged Microblogs. In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April, 2015.
     
  4. Louai Alarabi, Ahmed Eldawy, Rami Alghamdi, Mohamed F. Mokbel. "TAREEG: A MapReduce-Based Web Service for Extracting Spatial Data from OpenStreetMap In Proceedings of ACM SIGMOD Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, Jun, 2014.

  5. Mohamed F. Mokbel, Louai Alarabi, Jie Bao, Ahmed Eldawy, Amr Magdy, Mohamed Sarwat, Ethan Waytas, and Steven Yackel. "A Demonstration of MNTG - A Web-based Road Network Traffic Generator". In the IEEE International Conference on Data Engineering, ICDE 2014, Chicago, USA, April, 2014.


Workshop & Abstract

  1. Louai Alarabi"Summit: A scalable system for massive trajectory data managment". Proceedings of SIGSPATIAL 2018 Student Research Competition Nov 5-8 2018, Seattle, Washington, USA

  2. Louai Alarabi"ST-Hadoop: A MapReduce Framework for Big Spatio-temporal Data". Proceedings of SIGMOD 2017 pages 40–42. Student Research Competition May 14-19 2017, Chicago, IL, USA SIGMOD 2017, Chicago, IL, USA


Newsletter

  1. Louai Alarabi "Summit: A scalable system for massive trajectory data managment". SIGSPATIAL Special: Volume 10 Issue 3, November 2018


Projects

  • Mountain View ST-Hadoop is a MapReduce framework that acknowledges the fact that space and time play a crucial role in query processing. ST-Hadoop is an open-source extension of a Hadoop framework that injects the spatiotemporal awareness in the code base of four layers inside SpatialHadoop, namely, language, indexing, MapReduce, and operations layers. The spatio-temporal indexing techniques inside ST-Hadoop primarily tuned to provide the accommodation of new updated dataset efficiently without the need to rebuild its index. The key point behind the performance gain of ST-Hadoop is the idea of indexing, where data are temporary loaded and divided across computation nodes. For more information, please visit: http://st-hadoop.cs.umn.edu.

  • Mountain View TAREEG is a MapReduce-Based System for Extracting Spatial Data from OpenStreetMap Real spatial data, e.g., detailed road networks, rivers, buildings, parks, are not really available in most of the world. This hinders the practicality of many research ideas that need a real spatial data for testing experiments. Such data is often available for governmental use, or at major software companies, but it is prohibitively expensive to build or buy for academia or individual researchers. TAREEG; a web-service that makes real spatial data, from anywhere in the world, available at the fingertips of every researcher or individual. TAREEG gets all its data by leveraging the richness of OpenStreetMap dataset; the most comprehensive available spatial data of the world. Yet, it is still challenging to obtain OpenStreetMap data due to the size limitations, special data format, and the noisy nature of spatial data. TAREEG employs MapReduce-based techniques to make it efficient and easy to extract OpenStreetMap data in a standard form with minimal effort. TAREEG is accessible via www.tareeg.org.

  • Mountain View MinnesotaTG is a project developed at the University of Minnesota. MinnesotaTG is built based on two existing traffic generators: (1) BerlinMod and (2) Thomas-Brinkhoff. The purpose of MinnesotaTG is to take an arbitrary region in the United States and generate traffic data from that region. Without this tool, generating this traffic is a complicated and drawn out process because of the number of configuration steps necessary to get either Thomas-Brinkhoff or BerlinMod both up and running, and able to work on a user specified region. The generation of the traffic is not done by the tool itself, but rather it is performed by these two different traffic generators. For more information, please visit: http://mntg.cs.umn.edu/.

  • Mountain ViewTaghreed is a system for querying, analyzing, and visualizing geotagged tweets. Taghreed is the first to manage both recent and historical Twitter data. It digests incoming fast data in real time and scale for billions of historical data items. On both, scalable spatio-temporal keyword queries are supported to facilitate efficient and scalable spatio-temporal analysis and visualization of Twitter data. Taghreed is powering two startups serving social media analysis services for Middle Eastern customers at Wadi Makkah innovation incubator. please visit: http://www.gistic.org/taghreednew/.


Awards & Certifications

  • 1st Place & Gold Medal - Student Research Competition ACM SIGSPATIAL 2018.
  • Selected for submission to a special issue of GeoInformatica Journal.
  • Selected among Best Papers Award in SSTD15.
  • Finalist of Student Research Competition ACM SIGMOD 2017 .
  • 1st Place - Best Overall Demonstration Award, U-Spatial Symposium.