Important Dates

  • Workshop
    Sunday, June 14, 2020 (morning)
  • Submission Deadlines
    Abstract: March 15, 2020
    May 11, 2020
    Submission: March 22, 2020
    May 11, 2020
    Notification: April 16, 2020
    June 1, 2020
    Camera-Ready:   June 8, 2020
  • All Deadlines at 23:59 AoE

Workshop Program

The Zoom link for joining the online meeting of the workshop can be found at In order to access this website, you have to first register for free through the 2020 SIGMOD/PODS registration page.

09:0009:10Welcome message
10:3011:00Coffee Break
11:0012:20Paper Session
12:2012:30Closing remarks

All times in local Portland time, PDT.


Machine Learning for Big Spatial Data and Applications

This talk will focus on our recent efforts in adopting machine learning techniques for big spatial data and applications. This includes going for two orthogonal, but related, directions. First, injecting the spatial awareness inside machine learning techniques and applications, which will result in a higher accuracy for such applications. Second, taking advantage of the recent advances in machine learning techniques to boost the usability, deployment, scalability, and accuracy of long lasting spatial and spatio-temporal data analysis techniques. For the first direction, we will present the Sya system as a full-fledged spatial machine leaning-based probabilistic knowledge base construction system. For the second direction, we will present machine-learning-based techniques for spatial autologistic regression and shortest path queries.

Short Bio:

Mohamed Mokbel (PhD, Purdue University, MSc, BSc, Alexandria University) is Chief Scientist at Qatar Computing Research Institute and a Professor at University of Minnesota. His current research interests focus on systems and machine learning techniques for big spatial data and applications. Mohamed is an IEEE Fellow and ACM Distinguished Scientist. His research work has been recognized by the NSF CAREER Award, VLDB 10-years Best Paper Award, and four conference Best Paper Awards. Mohamed is the past elected Chair of ACM SIGPATIAL, current Editor-in-Chief for Distributed and Parallel Databases Journal, and on the editorial board of ACM Books, ACM TODS, VLDB Journal, ACM TSAS, and GoeInformatica journals. He has also served as PC Vice Chair of ACM SIGMOD and PC Co-Chair for ACM SIGSPATIAL and IEEE MDM.

Paper Session (15+5 mins per paper)