Urban Data Management Representation and Mining (2025)

Welcome to Urban Data Management, Representation and Mining

Description: Urban computing is an emerging field that aims to address the challenges of rapid urbanization, such as pollution, energy consumption, and traffic congestion. Urban computing involves acquiring, integrating, and analyzing large and heterogeneous data generated by a variety of sources in urban spaces, including sensors, devices, vehicles, buildings, and people, to tackle major urban challenges. 

The course will introduce 

1) urban data management, including urban data, spatial data indexing, spatial data query processing, and learned spatial indexes; 

2) urban data mining, including spatial data mining, spatiotemporal prediction, and reinforcement learning; 

3) geospatial entity representation for point objects, trajectories, and regions and their applications, including speed inference, region population estimation, etc.; 

4) foundation models for geospatial applications.

Prerequisites: Bachelor’s and master’s degrees in computer science or software engineering, including knowledge on machine learning and data management as introduced in typical undergraduate courses.

Learning objectives: The objective of the course is to provide students with a working understanding of basic knowledge, as well as research problems and solutions of urban computing.

Organizer: Christian S. Jensen

Lecturers: Professor Gao Cong, Nanyang Technological University, Singapore

ECTS: 2 ECTS

Time: 30 June, 1 July, 2025

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 15

Deadline: 9 June 2025

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course. 

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk When contacting us please state the course title and course period. Thank you.