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From ISLAB/CAISR
| Supervisors | OneLineSummary | |
|---|---|---|
| Improved networks for cloud-car communication | Cristofer Englund Eric Järpe Ana Magazinius |
Development of new communication network for more efficient, reliable and diverse traffic flow and hence improved performance driving of cars. |
| Improving MEDication Adherence through Person Centered Care and Adaptive Interventions | Sławomir Nowaczyk Alexander Galozy |
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions |
| Indoor localization for ground vehicles | Cristofer Englund | Indoor localization for ground vehicles |
| Intelligent claim Process with Volvia | To be decided (contact Slawomir Nowaczyk for more details) | Intelligent claim Process |
| Intelligible patient representation for outcome prediction of congestive heart failure patients | Sławomir Nowaczyk Awais Ashfaq |
Generating patient representation using EHR data |
| Machine Learning and LeadTime Prediction | Sławomir Nowaczyk | Machine Learning and LeadTime Prediction |
| Meta-learning for evaluation and implementation of predictive maintenance solution | Pablo del Moral Sławomir Nowaczyk |
Finding the best strategy to schedule a predictive maintenance intervention optimizing the cost of unexpected breakdowns against unuseful visits to the workshop. |
| Mining For Meanings In Robot Maps | Saeed Gholami Shahbandi Björn Åstrand |
To build a hybrid map by augmenting the intrinsic kinematic model of a mobile robot to a spatial map, and semi-supervised learning of meanings towards self/situation awareness. |
| Model behaviour of agents in a warehouse setting | Björn Åstrand Naveed Muhammad |
Modelling the behaviour of agents (manual driven forklift trucks, other robots, humans etc.) in a warehouse environment |
| Modeling and Exploration of Self Rated Health Data using Machine Learning | Sławomir Nowaczyk Anita Sant'Anna Parivash Pirasteh |
An analysis of self rated health data |
| Modelling behavior and interaction of road users in transportation systems | Björn Åstrand Cristofer Englund |
Modelling behavior and interaction of road users in transportation systems |
| Modelling vehicles'/drivers' behaviour using LVD | Reza Khoshkangini | Modeling the bahevaior of the vehicles/drivers exploiting the vehicles usage in different context. |
| Multi-robot coordination in a warehouse | Jennifer David Björn Åstrand |
The project aims to coordinate motion of multiple robots to accomplish a single task |
| Multi-robot trajectory adaptation using a state-time elastic band approach | Roland Philippsen Jennifer David |
For teams of robots moving through dynamic environments, deform planned trajectories in space and time such that they remain collision-free and reach the goal (if possible) or report failure if replanning is needed. |
| Multitask learning on vehicle data | Mahmoud Rahat Peyman Mashhadi |
Learning shared representation using multitask learning on a vehicle-related data |
| NOMAD | Thorsteinn Rögnvaldsson Stefan Byttner |
Nonlinear methods for accurate deviation detection (NOMAD) |
| Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning | Mattias Ohlsson Thorsteinn Rögnvaldsson |
In this project you will use deep learning models, specifically convolutional neural networks (CNN), to analyze satellite imagery to estimate agricultural development indicators. |
| Object Detection for Autonomous Vehicles | Eren Erdal Aksoy | Implementing a single-stage deep network to detect vehicles in the segmented 3D LiDAR point cloud |
| Object Movement Prediction for Autonomous Cars | Tiago Cortinhal | Predicting the movement of objects in the context of autonomous cars |
| On control of robots in remote workspaces using lasers | Björn Åstrand Jennifer David |
Supervised autonomy for controlling robots at remote locations. Lasers and ultrasonic ranging to be used. |
| On detecting deviations by autonomously discovering district heating control strategy used by buildings | Shiraz Farouq Sławomir Nowaczyk |
autonomously detect control strategy and building type from district heating data |
| One dimensional frequency decomposition of oriented local images applied to fingerprints | Josef Bigun | Study and develop 1D continuous frequency fitting of a predetermined number of (oriented) sinusoids to images which are strongly oriented locally, in particular forensic fingerprints. |
| Optimisation Algorithm for Feature enginnering | Reza Khoshkangini | In this project we intend to design an optimisation system using artificial intelligence algorithms in order to select/extract the best features for developing a forecasting system in predictive maintenance. |
| Optimisation in Heavy Duty Vehicles Configuration | Reza Khoshkangini | In this project we aim to optimise the vehicles setting based on their usage style. Here we focus more on fuel consumption. |
| Pallet Detection and Mapping | Björn Åstrand Saeed Gholami Shahbandi |
Pallet Detection and Mapping in a Warehouse Environment |
| Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring | Ece Calikus Sławomir Nowaczyk |
Finding suitable peer groups to represent district heating and heat pump customers |
| Piglets Detection and Counting using Deep Neural Networks | Peter Berck Sepideh Pashami |
Piglets Detection and Counting using Deep Neural Networks |
| Positioning of the user at the HINT | Abbas Orand & Per Sandrum | The positioning of the user at the Halmstad intelligent home (HINT). |
| Predicting the status of machines with vibration data | Hadi Fanaee-T (www.fanaee.com) Mahmoud Rahat |
Predicting the status of Alfa Laval's separator machines with vibration data |
| Prediction of neurodegenerative disorders based on brain images | Farzaneh Etminani Stefan Byttner |
prediction of neurodegenerative disorders based on brain images using deep learning algorithms |
| Prioritize informative structures in 3D brain images | Amira Soliman Kobra Etminiani Stefan Byttner |
Identify informative regions in 3D brain images to improve classification accuracy of dementia disorders |
| Protecting bikers in traffic by computer vision | Josef Bigun | Protecting bikers in traffic by computer vision |
| Real-time Motion Analysis using Inertial Sensors | Siddhartha Khandelwal Nicholas Wickström |
Develop a real-time (online) algorithm that can detect walking events from accelerometer signals. |
| Recognition of Human Intentions for Automated Cars | Cristofer Englund Sławomir Nowaczyk |
Recognition of Human Intentions for Automated Cars |
| Recognition of logotypes and signs in photos | Josef Bigun | Recognizing man-made 2D objects such as logotypes in photos of human environments |
| Reinforcement Learning with Adaptive Representation Learning | Alexander Galozy Peyman Mashhadi |
This project targets finding representations that make the reinforcement learning more efficient in terms of finding an easier state to action mapping. |
| Reinforcement learning for End-to-End autonomous driving | Cristofer Englund Alexey Voronov Nicholas Wickström |
By using image data as input, and the vehicle steering and acceleration as output control signals, investigate how machine learning can control a vehicle. |
| Reinforcement learning in Automation | Reza Khoshkangini | In this project we plan to use reinforcement learning in multi-agent systems to improve decision making. in automated systems. |
| Replacements vs repairs. What is really a breakdown from the point of view of the data? | Pablo del Moral Sławomir Nowaczyk |
Finding ways to test how similar or different are the actions performed on a faulty machine. How does the effect of an intervention on the machine affect the data? |
| Representation Learning for Deviation Detection | Sławomir Nowaczyk Yuantao Fan |
Optimise Echo State Networks for time series forecasting and reconstruction. Propose methods, e.g. objective functions, to train Echo State Networks for deviation detection |
| Resolving Class Imbalance using Generative Adversarial Networks | Sepideh Pashami Peter Berck |
Resolving Class Imbalance using Generative Adversarial Networks |
| Reversible GANs | Cristofer Englund Felix Rosberg |
Reversible GANs |
| Risk as a Service with Volvia | To be decided (contact Slawomir Nowaczyk for more details) | Risk as a Service |
| Safe deployment of Deep Neural Networks in automotive engineering | Cristofer Englund Sepideh Pashami |
Evaluation of DNN factors with respect to robustness in safety critical systems. |
| Safety assurance for human in automated crane environment | Björn Åstrand Josef Bigun |
safety assurance for human in automated crane environment |
| Segmentation and object identification in warehouse environments using machine learning | Björn Åstrand Naveed Muhammad |
Segmentation and object identification in warehouse environments using machine learning |
| Segmentation of shoeprints | Anna Mikaelyan Josef Bigun |
Finding boundaries of homogeneous regions in shoeprint images |
| Self-adaptive Recommender System In Conditional Context | Reza Khoshkangini | In this project we intend to develop an adaptive system that can adapt itself --based on different context-- at providing service to conditional preference of users which change over time. |
| Short-Term Energy Demand Forecasting | Anita Sant'Anna Sławomir Nowaczyk Hassan Mashad Nemati |
Forecasting the electricity consumption based on historical usage by using smart meter data |
| Situation awareness in traffic | Cristofer Englund Björn Åstrand |
Situation awareness in traffic |
