7th ACM SIGSPATIAL Student Research Competition

Tuesday, November 1
Harbor Room
01:00 PM - 01:50 PM Session 1 - Graduate Finalists
01:50 PM - 02:05 PM Break
02:05 PM - 02:45 AM Session 2 - Undergraduate Finalists
03:00 PM - 04:00 PM Break
04:00 PM - 06:00 PM Poster Session

Session 1: Graduate Finalists

  • Leveraging Spatio-temporal Features to Forecast Time-To-Accident
    Taif Anjum (University of British Columbia), Beiyu Lin (University of Nevada-Las Vegas), Apurva Narayan (University of British Columbia)
  • Towards A Unified Deep Model for Trajectory Analysis
    Mashaal Musleh (University of Minnesota)
  • Quantum Classifiers for Remote Sensing Johann Maximilian Zollner (Technical University of Munich)
  • Towards Developing Energy Efficient Algorithms to Discover Partial Periodic Patterns in Big Temporal Databases
    Palla Likhitha (University of Aizu), Rage Uday Kiran (University of Aizu)
  • Choosing Feature Selection Methods for Spatial Modeling of Soil Fertility Properties at the Field Scale
    Caner Ferhatoglu (Iowa State University), Bradley A. Miller (Iowa State University)

Session 2: Undergraduate Finalists

  • MagttLoc: Decimeter Indoor Localization System Using Commercial Devices
    Farah Youssef (Alexandria University) and Sara Elmogy (Kafrelsheikh University), Hamada Rizk (Osaka University)
  • Sharing Without Caring: Privacy Protection of Users’ Spatio-Temporal Data Without Compromise on Utility
    Ren Ozeki (Osaka University) and Haruki Yonekura (Osaka University), Hamada Rizk (Osaka University) and Hirozumi Yamaguchi (Osaka University)
  • Personalized individual trajectory prediction via Meta-Learning
    He Zhu (Southern University of Science and Technology), Liyu Zhang (Southern University of Science and Technology), Zipei Fan (University of Tokyo)
  • Spatiotemporal Heterogeneities of the Associations between Human Mobility and Close Contacts with COVID-19 infections in the United States
    Wen Ye (Geospatial Data Science Lab, University of Wisconsin-Madison), Song Gao (Geospatial Data Science Lab, University of Wisconsin-Madison)

Call for Papers

Following the successful events in SIGSPATIAL 2016 - 2021, the ACM SIGSPATIAL 2022 will continue to host SIGSPATIAL ACM Student Research Competition (SRC) this year. SRC allows undergraduate and graduate students to share their research results and exchange ideas with other students, judges, and conference attendees; understand the practical applications of their research; perfect their communication skills; receive prizes and gain recognition from ACM and the greater computing community.

Important Dates

  • Submission Deadline: August 28, 2022 (11:59PM (PDT))
  • Notification of Acceptance: September 28, 2022
  • Event: November 1, 2022


The Student Research Competition is open to graduate (only one author) and undergraduate (up to two authors per contribution) student members. Non-student authors can be added to the camera-ready versions of the finalist submissions. SRC submissions should describe recent research conducted primarily by students or a recent development that involves a substantial amount of work achieved primarily by students. To be considered, complete a submission of an extended abstract of a topic of interest to the ACM SIGSPATIAL conference (please check the main conference CFP for relevant topics) and indicate the level of the participation (undergraduate or graduate). Valid ACM student membership and student status enrolment as of the submission deadline are required for the lead student.

Selection Process

Submissions will be judged based on novelty, impact, approach, results, and contributions to the field of spatial systems and algorithms. Competitors whose submissions are accepted must attend the SRC session and prepare a poster to demonstrate their work during the conference. If selected for further competition at the next level, they should be prepared to give a short talk of 10 minutes about their research projects in front of the judging committee and conference attendees. Winners of the SIGSPATIAL 2022 SRC will be announced at the conference.


Competitors whose submissions are accepted for participation at the SRC session @ SIGSPATIAL 2022 will receive up to $500 USD for their conference travel, depending on need. Winners from each category will advance to the SRC Grand Finals, where winners from various ACM SIGs are evaluated to nominate the ACM-wide SRC winners. Students and early career (0-3 years) conference participants may apply for a travel grant at https://forms.microsoft.com/r/kHWEHUVLjw. The application form gives the specific eligibility requirements. Applications are due October 3, 2022.

Submission Instructions

Each submission should include the author(s)' name(s), affiliations, email addresses, research advisors' names, ACM student member number, SRC category (undergraduate or graduate), and an extended abstract of no more than two pages in the conference template. The SRC submission should not have been published before or be under concurrent submission to another venue/SIGSPATIAL track. Please submit your papers through the EasyChair system at: https://easychair.org/conferences/?conf=srcacmsigspatial2022

ACM SIGSPATIAL Special Newsletter Extension

Selected Papers from SRC session at SIGSPATIAL 2022 are invited to submit extended versions to the ACM SIGSPATIAL Special Newsletter. These submissions undergo an independent peer review procedure and are published in the ACM Digital Library (ACM DL). Note that we expect a significant extension (typically 30% material) of the conference version in order to get the extended versions accepted. For extended versions following on workshops and interactive conferences, the editors hope that the feedback and discussions from the conference proceedings are integrated, and the editors especially welcome this fact to be reflected in the manuscript while citing the original contribution.


  • Amr Magdy, University of California, Riverside, USA
  • Kaiqun Fu, South Dakota State University, USA


For more information please contact the SRC Chairs Amr Magdy at amr@cs.ucr.edu and Kaiqun Fu at kaiqun.fu@sdstate.edu.