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.
Presentations
Program
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.
https://liu-se.zoom.us/j/69625832804?pwd=cDBYa1Z2YVBGT05VVUVvaUs4L2VPZz09
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 | ||
| Robotics | ||
| 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 | |
| Security | |
| 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 | ||
| Cryptography | ||
| Anomaly Detection |
Poster and exhibition
Read the Poster Catalogue Version 22/01/12
WASP 2022 Poster Catalogue AI Math 22/02/01
WASP 2022 Poster Catalogue AI MLX 2 Version 22/02/01
WASP 2022 Poster Catalogue AS Version 22/02/01
WASP 2022 Poster Catalogue Software Version 22/02/01
The exhibition is unfortunately cancelled