Course detail

Welcome to AI for Network Sciences: From understanding data to reliable deployment in wireless communications 

Description:  Modern AI applications face novel challenges, particularly in network sciences, where ML algorithms must handle data from diverse sources, respect data privacy constraints, and optimize the learning process across multiple agents. Offering valid statistical conclusions by learning from unreliable data is critical for several real-world applications. However, it may be challenging to dive into AI for network sciences, as it requires understanding many concepts from probability, statistics, distributed AI/ML, and data markets. This course addresses those challenges by covering: (i) the fundamentals of network sciences and the types of data encountered in this domain, (ii) collaborative and distributed machine learning algorithms, and (iii) reliable guarantees based on conformal prediction and decision theory.

Prerequisites: Basics of statistics and probability, Machine learning, python programing.

Learning objectives: Overview of networked systems and traffic models, with a focus on wireless communication networks; review on probability and statistical inference of/on networks; state-of-the-art distributed AI/ML algorithms; Markets and strategic interactions in networks for network data.

Organizer: Christophe biscio (Math)

Lecturers:  Shashi Raj Pandey (ES) Christophe Biscio (Math)

ECTS: 3.0

Date: 17, 18, 19, 20 and 21 August 2026

Place: Aalborg University

City: Aalborg

Maximal number of participants: 15

Deadline:  27 July 2026

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.