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From ISLAB/CAISR
| Supervisors | OneLineSummary | Modification dateThis property is a special property in this wiki. | |
|---|---|---|---|
| Sandboxed scripting on embedded systems | TBD Please contact Slawomir and Hans-Erik Eldemark |
Sandboxed scripting on embedded systems | 7 January 2021 16:19:04 |
| Analysis of multi-machine/multi-sensor data | Hadi Fanaee-T (www.fanaee.com) Mahmoud Rahat |
Data mining on multi-machine/multi-sensor time series data | 22 October 2020 13:36:50 |
| Beyond 5G baseband processing on a multicore architecture | Süleyman Savas | Implementation and evaluation of beyond 5G baseband algorithms on an embedded (Epiphany) processor with 16 cores | 21 October 2020 06:21:39 |
| 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. | 19 October 2020 12:51:51 |
| Transfer Learning by Selection of Invariant Features | Mohammed Ghaith Altarabichi Abdallah Alabdallah |
The project aims to develop novel methods to identify invariant features to transfer across multiple domains. | 15 October 2020 10:25:42 |
| Hide-and-Seek Privacy Challenge (NeurIPS 2020) | Onur Dikmen | Building novel methods for privacy-preserving data sharing and/or re-identification | 13 October 2020 10:31:00 |
| Smart Alarm | Hadi Fanaee-T(www.fanaee.com) Mahmoud Rahat |
Data-driven alarm prediction using sensor data | 12 October 2020 11:47:57 |
| 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 | 12 October 2020 11:47:36 |
| 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. | 9 October 2020 11:51:36 |
| Vehicle Usage Modeling over Time | Reza Khoshkangini Abbas Orand |
This project intents to explore the modeling of the usage of vehicles using unsupervised machine learning algorithms in different context which are logged over time. | 9 October 2020 11:42:02 |
| Anomaly Detection of the Activities of the Elderly Living in the Smart Home | Abbas Orand Reza Khoshkangini |
In this project we detect the anomaly of the actives of the elderly people or those with some sorts of health problem. | 9 October 2020 11:37:53 |
| 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. | 9 October 2020 10:21:14 |
| Zero-Shot Learning for Semantic Segmentation | Tiago Cortinhal Eren Erdal Aksoy |
Zero-Shot Learning for Semantic Segmentation | 9 October 2020 08:40:01 |
| Automatic Generation of Realtime Machine Learning Architectures | Yousra Alkabani Hazem Ali |
In this project, it is required to build a tool to generate a dataflow model and construct architectures for such algorithms, while minimizing latency or meeting a specific deadline under area and power constraints. | 8 October 2020 16:14:16 |
| Reversible GANs | Cristofer Englund Felix Rosberg |
Reversible GANs | 8 October 2020 12:30:33 |
| Situation awareness in traffic | Cristofer Englund Björn Åstrand |
Situation awareness in traffic | 8 October 2020 12:29:24 |
| Indoor localization for ground vehicles | Cristofer Englund | Indoor localization for ground vehicles | 8 October 2020 12:27:56 |
| Transfer Learning for Machine Diagnosis and Prognosis | Peyman Mashhadi Yuantao Fan Mohammed Ghaith Altarabichi |
Study and develop deep adversarial neural networks (DANN) based methods to detect faults and predict failures in industrial equipment, under transfer learning scenarios. | 6 October 2020 18:32:30 |
| 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. | 5 October 2020 13:38:39 |
| Risk as a Service with Volvia | To be decided (contact Slawomir Nowaczyk for more details) | Risk as a Service | 4 October 2020 15:09:34 |
| Intelligent claim Process with Volvia | To be decided (contact Slawomir Nowaczyk for more details) | Intelligent claim Process | 4 October 2020 15:07:58 |
| Forecast energy consumption in buildings to help Mestro customers save energy | To be decided (contact Slawomir Nowaczyk for more details) | The thesis will be focused on forecasting the energy consumption in buildings (e.g. electricity consumption), with some optional “add-ons” where student will also develop... | 4 October 2020 12:56:56 |
| Feature-wise normalization for 3D medical images | Amira Soliman Stefan Byttner Kobra Etminani |
Normalization of 3D medical imaging either as a data pre-processing or as feature-wise batch normalization during CNN model training | 29 September 2020 13:40:00 |
| 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 | 29 September 2020 13:39:34 |
| Multitask learning on vehicle data | Mahmoud Rahat Peyman Mashhadi |
Learning shared representation using multitask learning on a vehicle-related data | 28 September 2020 14:14:02 |
| Comparative study of an automated testing coverage for a TCP/IP stack implementation | Wojciech Mostowski | The topic of the project is the comparative study of the coverage of the tests generated by the QuickCheck tool against real coverage requirements | 23 September 2020 13:34:05 |
| Vehicular Network Graphical Interface | Marco Marinho | Build a graphical tool in python for plotting vehicular networks | 22 September 2020 08:43:47 |
| 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. | 27 November 2019 13:43:54 |
| Ethical hacking of car-cloud communication | Eric Järpe Cristofer Englund |
Designing and assessing attacks against a car-cloud network | 22 November 2019 13:08:38 |
| Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain | Sławomir Nowaczyk Farzaneh Etminani Ece Calikus |
Detecting anomalous buildings according to how they consume power on a seasonal daily basis | 27 October 2019 19:57:07 |
| 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. | 25 October 2019 15:44:55 |
| AI R&D at King | Sepideh Pashami | Reinforcement learning | 25 October 2019 05:10:37 |
| Prediction of neurodegenerative disorders based on brain images | Farzaneh Etminani Stefan Byttner |
prediction of neurodegenerative disorders based on brain images using deep learning algorithms | 23 October 2019 12:56:54 |
| Value of BIG DATA for Large Building Owners | Sepideh Pashami | It is an explanatory project with a company called Mutual Benefits Engineering AB | 23 October 2019 07:17:55 |
| Modelling vehicles'/drivers' behaviour using LVD | Reza Khoshkangini | Modeling the bahevaior of the vehicles/drivers exploiting the vehicles usage in different context. | 21 October 2019 07:40:39 |
| Detection of smart cars cyber attacks | Ana Magazinius (RISE Viktoria) Eric Järpe Cristofer Englund |
For treating the probem of cyber attacks against smart vehicles, new change-point detection and anomaly detection methods by means of statistics and machine learning are developed and evaluated. | 19 October 2019 20:10:40 |
| Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance | Mahmoud Rahat Sławomir Nowaczyk |
This project is about applying supervised/unsupervised methods of feature selection on Logged Vehicle data (LVD) from Volvo trucks and investigate the contribution in model construction for different predictive maintenance tasks | 14 October 2019 15:06:30 |
| Transfer Learning for Machine Diagnostics and Prognostics | Yuantao Fan Sepideh Pashami Mohammad Ghaith Altarabichi |
Develop a deep adversarial neural networks (DANN) based method to predict failures and estimate machine health, under transfer learning settings. | 14 October 2019 09:39:07 |
| AI Enabled Service Market Logistics | Sławomir Nowaczyk Iulian Carpatorea Mahmoud Rahat |
Develop a toolkit for a successful implementation of an AI application for Service Market Logistics, with a working AI in a pilot environment and an implementation process evaluation as an output. | 10 October 2019 07:46:47 |
| Electrical stimulator design and development | Abbas Orand & Eren Erdal Aksoy | Multi-pattern electrical stimulator design and development | 8 October 2019 11:13:01 |
| Positioning of the user at the HINT | Abbas Orand & Per Sandrum | The positioning of the user at the Halmstad intelligent home (HINT). | 8 October 2019 07:36:04 |
| Object Movement Prediction for Autonomous Cars | Tiago Cortinhal | Predicting the movement of objects in the context of autonomous cars | 3 October 2019 14:59:36 |
| Embeded wearable sensors application at the HINT | Abbas Orand | Using wearable stretch sensors to recognize activities of a user at HINT | 2 October 2019 07:49:30 |
| Embedding DNN models on mobile robots for object detection | Mahmoud Rahat | The idea in this project is to employ transfer learning methods to teach a mobile robot to detect a handful of everyday objects in the real-world environment, and investigate the challenges and difficulties that are faced to this end | 1 October 2019 15:23:53 |
| 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. | 1 October 2019 07:41:18 |
| Modelling behavior and interaction of road users in transportation systems | Björn Åstrand Cristofer Englund |
Modelling behavior and interaction of road users in transportation systems | 30 September 2019 13:04:15 |
| Segmentation and object identification in warehouse environments using machine learning | Björn Åstrand Naveed Muhammad |
Segmentation and object identification in warehouse environments using machine learning | 30 September 2019 11:45:31 |
| Protecting bikers in traffic by computer vision | Josef Bigun | Protecting bikers in traffic by computer vision | 27 September 2019 13:21:58 |
| Digit recognition by lip-movements and time recursive Neural Networks | Josef Bigun Kevin Hernandez-Diaz Fernando Alonso-Fernandez |
The project aims to recognize digits by lip movements and neural networks | 27 September 2019 13:15:28 |
| Object Detection for Autonomous Vehicles | Eren Erdal Aksoy | Implementing a single-stage deep network to detect vehicles in the segmented 3D LiDAR point cloud | 10 September 2019 13:02:16 |
| 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 | 9 September 2019 20:20:11 |
| Estimating Architectural Properties of Buildings Based on Heating Data | Ece Calikus Sławomir Nowaczyk |
Heating operation is heavily dependent on the specifics of the installation, and understanding this relation is important for improving reliability and energy efficiency | 9 September 2019 20:18:18 |
| Detecting different types of machines based on usage | Sławomir Nowaczyk Pablo del Moral |
This project is about studying how can we distinguish among different types of machines based on their usage. | 9 September 2019 20:16:41 |
| Detecting changes in causal relations | Sepideh Pashami Sławomir Nowaczyk |
Monitoring the operation of bus fleet by tracking the changes in causal network | 9 September 2019 20:16:09 |
| Something to do with social robots | Martin Cooney Eren Erdal Aksoy Fernando Alonso-Fernandez |
Robot Exercise Coach | 26 October 2018 09:48:10 |
| Air Surveillance for Airport Safety Using Autonomous Vehicles | Cristofer Englund Fernando Alonso-Fernandez |
Air Surveillance for Airport Safety Using Autonomous Vehicles | 25 October 2018 13:25:46 |
| Deep learning and Back Order Solutions | Sławomir Nowaczyk | Deep learning and Back Order Solutions | 25 October 2018 10:34:53 |
| Machine Learning and LeadTime Prediction | Sławomir Nowaczyk | Machine Learning and LeadTime Prediction | 25 October 2018 10:32:22 |
| Behaviour modeling and classification of vehicles at a roundabout | Björn Åstrand Naveed Muhammad |
Modeling of behaviour, classification based on behaviour, and detection of anomalous behaviour in traffic at a roundabout. | 22 October 2018 07:28:36 |
| Improving MEDication Adherence through Person Centered Care and Adaptive Interventions | Sławomir Nowaczyk Alexander Galozy |
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions | 20 October 2018 21:33:41 |
| Using Deep Q-Learning (Alpha-Go algorithm) to solve routing problems in warehouse logistics | Jennifer David Thorsteinn Rögnvaldsson |
Solving the famous vehicle-routing problem using Deep Q-Learning | 19 October 2018 15:00:24 |
| Smart meters' data analysis | Hassan Mashad Nemati Sławomir Nowaczyk |
Customer characterization, customer classification and anomaly detection | 19 October 2018 10:21:23 |
| A study about the future and usability of Bio-electronic “smart” implants in humans | Taha Khan Stefan Nordlander |
Feasibility study on bioimplants in humans. | 18 October 2018 15:02:09 |
| Speaker/speech recognition and engagement | Taha Khan Oskar Lundgren |
Algorithms, sensors and devices for recognizing speaker as well as spoken words and engagement from an arbitrary number of people in a conversation | 18 October 2018 15:01:22 |
| Contactless monitoring of blood pressure using photoplethysmography | Taha Khan | A camera-based system for non-invasive monitoring of blood pressure | 18 October 2018 14:54:04 |
| Understanding usage of Volvo trucks | Sławomir Nowaczyk Fredrik Moeschlin (at Volvo) |
A project in collaboration with Volvo AB on understanding vehicle usage patterns. | 16 October 2018 11:53:17 |
| Convolutional Neural Network (CNN) features behaviour in the context of textures | Josef Bigun Kevin Hernandez-Diaz Fernando Alonso-Fernandez. |
The project aims to quantify the behaviour of Convolutional Neural Network (CNN) features in the context of textures. | 15 October 2018 20:28:09 |
| Understand Patterns in Volvo Truck Lifetime Repair History | Sławomir Nowaczyk Sepideh Pashami Fredrik Moeschlin (at Volvo) |
A project in collaboration with Volvo AB on finding good representations for data-driven description of Volvo truck's repair and maintenance history | 14 October 2018 18:15:38 |
| Deep Recurrent Networks for Machine Prognostics | Sławomir Nowaczyk Sepideh Pashami Yuantao Fan |
Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning | 14 October 2018 18:05:10 |
| Wisdom of the crowd, is there a single crowd? | Pablo del Moral Sławomir Nowaczyk |
Finding different clusters of machines based on their behavior as a first step towards anomaly detection and predictive maintenance. | 14 October 2018 18:01:44 |
| 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 | 14 October 2018 17:59:31 |
| Automatic Machine Learning (AUTO-AUTO-ENCODER!) | Sławomir Nowaczyk Sepideh Pashami |
Automatic configuration algorithm for autoencoders | 14 October 2018 17:55:54 |
| Cross-Spectrum Ocular Identity Recognition via Deep Learning | Kevin Hernandez-Diaz Fernando Alonso-Fernandez Josef Bigun |
Cross-Spectrum Ocular Identity Recognition via Deep Learning | 11 October 2018 18:36:17 |
| Piglets Detection and Counting using Deep Neural Networks | Peter Berck Sepideh Pashami |
Piglets Detection and Counting using Deep Neural Networks | 11 October 2018 09:07:02 |
| Resolving Class Imbalance using Generative Adversarial Networks | Sepideh Pashami Peter Berck |
Resolving Class Imbalance using Generative Adversarial Networks | 11 October 2018 09:06:44 |
