25 March – 2 April, 2023
Paphos, Cyprus

Joint Advanced
Student School 2023

Smart context-sensitive traffic control

JASS (Joint Advanced Student School) is an annual international initiative to study emerging technologies using project-driven software development. The school is a place where students and professors from different countries gather for short-term, project-oriented, project-driven education in international teams. Over the course of 7 days, each team of students creates and delivers a finished project.

The topics typically studied include mobile devices, the Internet of Things, industrial applications, autonomous mobile robotics and transportation, and virtual reality.

The event includes the following types of activities:

  • Guest lectures and/or master classes on selected technologies.
    Lectures are classes are provided by academic professors and industry experts. The main goal of each lecture is to give a good overview of the technologies; to help students to get a bigger picture of the particular domain, and to acquire a holistic comprehension of the problems, solutions, and challenges that exist.

  • Work on projects in joint international student teams.
    Students will work within joint international teams (about 7 students per team) to develop small projects and apply their new domain knowledge to a particular sub-project. Each project is developed by the teams under supervised guidance.

Topic 2023

Smart context-sensitive traffic control

There are many tools in the software world that allow you to safely upgrade running systems without stopping them. Systems such as search engines, social networks, and streaming or multiplayer gaming platforms are almost never stopped when they are upgraded.


However, once we encounter systems running in the physical world, the task becomes very difficult, almost unsolvable. Imagine a smart city in which cars drive themselves, smart traffic lights regulate traffic, and automatic monitoring systems control data flows. And it's all controlled by artificial intelligence technology. How do you update the software on these autonomous agents so that nothing stops or fails?

JASS-2023 is dedicated to the study of smart context-sensitive traffic control and continuous software evolution technologies for cyber-physical systems. As part of the program, we will use the Duckietown model city and its self-driving cars and smart traffic lights (all guided by AI) to help us solve such problem. Several international student project teams will work together in Agile mode for a week, supported by professors from Technical University of Munich, Imperial College London, and Neapolis University Pafos. Students will use real hardware equipment when working on projects.

Core technologies: Linux, ROS, Docker/Kubernetes, Matter/Thread, Duckietown, Python

25 March – 2 April, 2023

Coral Beach Hotel & Resort, Paphos, Cyprus
Participants should be either undergraduate, graduate or postgraduate students at universities in Cyprus with strong software engineering and development skills. They should also have an interest in new technologies, mobile devices, and the Internet of Things.

Participation is free. School language – English. All participants will be accommodated during the school by the Neapolis University Pafos and the Leptos Group at the Coral Beach Hotel & Resort.

 

Preliminary schedule

25.03 Arrival to Paphos, Icebreaker

26.03 Intro in JASS, Problem Statement, Team Allocation

27.03 Start of development, Lectures (Docker/Kubernetes, Matter/Thread, Software evolution)

28.03 Working on Projects

29.03 Working on Projects

30.03 Working on Projects, Intermediate Demo

31.03 Hiking in the morning, Working on Projects

01.04 Working on Projects, Final Demo (Client Acceptance Test), Dinner

02.04 Departure from Paphos

Supervisors

  • Prof. Dr. Stephan Krusche

    TUM, Applied Software Engineering

  • Prof. Dr. Bernd Brügge

    TUM, Applied Software Engineering

  • Prof. Kirill Krinkin

    PhD in Software Engineering

Invited Lecturers and Instructors

  • Dr. Robert Chatley

    Imperial College London, Director, DoC EdTech Lab

  • Matthias Linhuber

    TUM, Applied Software Engineering

  • Maximilian Sölch

    TUM, Applied Software Engineering

Teaching Assistants and Technicians

Teaching Assistants Team

  • Konstantin Chaika, JetBrains

  • Tatiana Berlenko, JetBrains

  • Nikita Ermolenko, JetBrains

Technicians Team

  • Andreas Jung, TUM

  • Ruth Demmel, TUM

Participants

Germany

  • Maximilian Sölch

  • Matthias Linhuber

  • Mokhammad Naanaa

  • Tobias Wasner

  • Philipp Zagar

  • Valeriya Andraichuk

  • Noah Dormann

  • Ruoqing Wang

  • Robert Jandow

  • Magnus Kühne

Cyprus

  • Andreas Loizides

  • Ilia Nechaev

  • Iya Volkova

  • Vseslav Kasatskii

  • Aleksandra Fedorova

  • Gennady Petrishchev

  • Christoforos Nicolaou

  • Ivan Vybornov

  • Panagiotis Theodorou

  • Lampros Dionysiou

  • Kseniia Marchenko

  • Edwina Karoulla

Our partners