The WASP Winter Conference 2022

The WASP management has reviewed the WASP Winter Conference arrangements and made the decision to transfer as much of the program as possible to a fully virtual event. No activities will be held on site in Norrköping.

Dates:  11th -13th of January 2022

The first day is a Kickoff for newcomers, both PhD students and others who recently became part of the WASP community. The conference part is arranged on January 12th.  On the 13th of January virtual cluster meetings will be arranged.



12:30 Introduction to WASP (common presentation with postdocs and recruited faculty)

14:00 Speed-presentation of all participating PhD students (~1 min each)

15:15 Break

15:30 Introduction to the WASP Graduate School, Fredrik Heintz, LiU

16:00 Courses given in the spring 2022, Fredrik Heintz, LiU

  • Virginia Dignum & Andreas Theodorou, UmU
  • Thomas Schön, UU
  • Paul Townend, UmU

16:30 Group meetings (per university)

17:15 End

12:30 Introduction to WASP (common presentation with new PhD students and supervisors)

14:00 Presentation of the participants

15:15 Break

15:15 Presentation of the participants

15:45 Research Funding in Sweden, Karl-Erik Årzén, LU

16:15 WASP experience, Martin Monperrus, KTH

16:30 End

9:00 Introduction, Sara Mazur, Chair of the WASP Board

9:05 Director’s update, Anders Ynnerman

  • Co-directors
  • WARA
  • WASP PhD Council
  • Alumn of the Year Award

10:30 Break

10:40 NESTs,
Chair: Karl-Erik Årzén

  • Learning in networks: Structure, Dynamics and Control, Alexandre Proutiere, KTH
  • CyberSecIT: Automated and Autonomous Cybersecurity for IoT, Andrei Sabelfeld, Chalmers
  • DISCOWER: Distributed Control in Weightless Environments, Dimos V. Dimarogonas, KTH
  • Intelligent Cloud Robotics for Real-Time Manipulation at Scale, Florian Pokorny, KTH
  • 3D Scene Perception, Embeddings and Neural Rendering, Fredrik Kahl, Chalmers
  • STING – Synthesis and analysis with Transducers and Invertible Neural Generators, Gustav Eje Henter, KTH
  • PerCorSo: Perceiving and Communicating Correct-by-design Socially Acceptable Autonomous Systems, Jana Tumova, KTH
  • Alignment and Integration of Physical and Virtual Worlds, Jonas Unger, LiU
  • Data-bound computing, Mikael Johansson, KTH

11:30 LUNCH

12:20 Newly recruited faculty
Chair: Amy Loutfi

  • Emma Tegling, LU
  • Jendrik Seipp, LiU
  • Miriah Meyer, LiU
  • Simon Olsson, CTH
  • Katharina Jochemko, KTH

13:10 WASP Diversity and Inclusion Group Lecture, for DIG Ivica Crnkovic, Chalmers; Implicit bias in practices in technology research and overcoming them, Ericka Johnson, LiU

13:45 Break

14:00 ISAB: Perspectives on WASP, Prof. Bart de Moor, KU Leuven

15:00 Concluding remarks

15:15 End

The meeting for alumni and WASP Management will take place on January 12th at 15:30.




PLEASE NOTE: Core Technology Cluster (CTC) Meetings are for PhD Students only. Please choose another meeting if you are a non-student.

Links to the cluster meetings will be published below.

SESSION 1: 10:00

Area & Application Clusters

Finance, Business Analytics & eCommerce
Localization and Navigation
Autonomous Clouds and Networks
Mathematical Foundations of AI
Machine Learning, Deep Learning and other AI (see alternative time session 2)
Smart Environments


Core Technology Clusters (PhD students only)

Large-Scale Optimization
Software Analysis & Testing
Geometric Deep Learning
Security and Privacy-Aware Learning
Sequential Decision-Making and Reinforcement Learning
START AT 11 AM Mathematical foundations of AI other than ML (will be recorded)


SESSION 2: 13:00

Area & Application Clusters

Life Science
Mobile Communications
Perception and Learning
Machine Learning, Deep Learning and other AI (see alternative time session 1)
Manufacturing & Process Control


Core Technology Clusters (PhD students only)

Complex Systems
Safety and Robustness of Autonomous Systems
Natural Language Processing
Formal and Empirical Aspects of Agent Societies
Explainable AI

SESSION 3 15:00

Area & Application Clusters

Software Engineering & Technology
Public Safety
Legal, Ethical, and Societal Aspects
Healthcare & Pharmaceutical
Transport Systems


Core Technology Clusters (PhD students only)

Learning from Small Data Sets and Incremental Learning
Bayesian Statistics, SDEs, Probabilistic Programming
Representation and Grounding
Anomaly Detection

Poster and exhibition

The exhibition is unfortunately cancelled

Anna Knutsson

Coordinator, Events and Graduate School