Digit@LTH
Faculty of Engineering, LTH
WASP Research at Lund University – Home
Senior research projects
WASP Professor Package: Cognitive Robots for Manufacturing
Volker Krueger, Faseeh Ahmad, Matthias Mayr, Johan Oxenstierna, and Hampus Åström
Analysis of numerical methods for optimization problems arising in machine learning
Tony Stillfjord, Eskil Hansen, Monika Eisenmann & Måns Williamson
Associate Senior Lecturers
Transparent Abstractions
Emma Söderberg & Christoph Reichenbach
WASP Collaboration
Reinforcement Learning in Continuous Spaces with Interactively Acquired Knowledge-based Models
Elin Anna Topp, Alexander Dürr, Todor Stoyanov & Quantao Yang
WASP Cluster
WASP Cluster: Software Engineering for Smart Systems
Per Runeson, Rasmus Ros, Adha Hrusto & Qunying Song
WASP Expeditions
Intelligent Cell-free Access for wiReless Ubiquitous Services (ICARUS)
Pontus Giselsson, Mustafa Yetis, Sebastian Banert, Emil Björnson, Sucharita Chakraborty & Özlem Tugfe Demir
Realtime Individualization of Brain Computer Interfaces
Carolina Bergeling, Bo Bernhardsson, Maria Sandsten, Frida Heskebeck & Rachele Anderson
WASP dissertation projects at Lund University
Initiated 2020
Domain-Specific Robot Programming for Reliability, Safety, and Availability
Momina Rizwan, Christoph Reichenbach & Volker Krueger
Software testing of autonomous systems
Qunying Song, Per Runeson & Emelie Engström
Initiated 2019
Millimeter-wave radio based positioning
Hedieh Khosravi, Fredrik Tufvesson & Harsh Tataria
Continuous system testing using autonomous monitors
Adha Hrusto, Per Runeson, Emelie Engström & Magnus C Ohlsson
Explainable Declarative Programming Analysis
Idriss Riouak, Görel Hedin, Christoph Reichenbach & Niklas Fors
SingleBatch: Warehouse Vehicle Routing SaaS
Johan Oxenstierna & Volker Krueger
On Minimax Adaptive Control
Olle Kjellqvist, Anders Rantzer & Bo Bernhardsson
Optimizing the Next Generation Brain Computer Interfaces using Cloud Computing
Frida Heskebeck, Bo Bernhardsson, Carolina Bergeling & Tore Hägglund
Spatiotemporal Consistency in Rendering and Deep Learning
Pontus Andersson, Kalle Åström, Tomas Akenine-Möller & Magnus Oskarsson
Throughput Control in Autonomous Networks
Emil Vladu, Anders Rantzer, Richard Pates & Carolina Bergeling
Simulation for Reinforcement Learning and Curiosity Driven Exploration for Robotics
Hampus Åström, Volker Krueger & Elin Anna Topp
Deep Learning for Simultaneous Localization and Mapping
Axel Berg, Magnus Oskarsson, Kalle Åström & Mark O'Connor
Incremental Learning Agents and Human Interaction
Jens Gulin, Kalle Åström & Jan Eric Larsson
Robot Skill Learning based on Interactively Acquired Knowledge-based Models
Alexander Dürr, Elin Anna Topp & Volker Krueger
Initiated 2018
Performance bug detection through combined static and dynamic program analysis
Alexandru Dura, Christoph Reichenbach
Efficient Learning of Robot Skills
Matthias Mayr, Jacek Malec & Volker Krueger
Smart Modules
Noric Couderc & Christoph Reichenbach
On acceleration of first-order convex optimization methods
Hamed Sadeghi & Pontus Giselsson
Pegah Nikbakht Bideh, Martin Hell & Paul Stankovski Wagner
Testing of Adaptive Software Systems
Claudio Mandrioli & Martina Maggio
Efficient Learning of Dynamical Systems
Christian Rosdahl, Bo Bernhardsson & Anders Rantzer
Initiated 2017
Deep Learning for Understanding Humans
Erik Gärtner & Cristian Sminchisescu
Martin Larsson, Magnus Oskarsson & Kalle Åström
Efficient GPU Programming for Visual and Autonomous Systems
Gustaf Waldemarson, Michael Doggett & Flavius Gruian
Event-Based Information Fusion for the Self-Adaptive Cloud
Johan Ruuskanen, Anton Cervin & Karl-Erik Årzén
Side channels on software implementations of post-quantum cryptographic algorithms
Alexander Nilsson, Thomas Johansson & Paul Stankovski Wagner
Initiated 2016
Continuous optimization of software
Rasmus Ros, Per Runeson & Elizabeth Bjarnason
Link Modelling for Cooperative Transport Solutions
Christian Nelson, Fredrik Tufvesson & Carl Gustafson
Adaptive software architectures for autonomous system
Alfred Åkesson, Görel Hedin, Boris Magnusson & Niklas Fors
Digital Cognitive Companion for Marine Vessels
PhD Thesis by Mårten Lager, Defende 12 February 2021
Supervisors: Jacek Malec & Elin Anna Topp
Initiated 2015
Radio based positioning
Xuhong Li, Fredrik Tufvesson & Erik Leitinger
A Timely Journey Through the Cloud
PhD Thesis by Viktor Millnert. Defended 19 September 2019
Wallenberg AI, Autonomous Systems and Software Program (WASP)
WASP is a major national initiative for strategically motivated basic research, education, and faculty recruitment in autonomous systems and software development. It is Sweden’s largest individual research program ever, and provides unique opportunities for achieving international research excellence with industrial relevance.
Read more:https://wasp-sweden.org/
Dissertations
Digital Cognitive Companions for Marine Vessels: On the Path Towards Autonomous Ships, Mårten Lager,12 February 2021
A Timely Journey Through the Cloud, Viktor Millnert, 19 September 2019