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From ISLAB/CAISR
| Supervisors | OneLineSummary | Status | |
|---|---|---|---|
| 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. | Open |
| CoopSim | Stefan Byttner Cristofer Englund |
Simulation of cooperative systems behavior in the presence of faults | Open |
| Cross-Spectrum Ocular Identity Recognition via Deep Learning | Kevin Hernandez-Diaz Fernando Alonso-Fernandez Josef Bigun |
Cross-Spectrum Ocular Identity Recognition via Deep Learning | Open |
| Data Heterogeneity in Federated Learning | Amira Soliman Sławomir Nowaczyk |
Addressing the challenges of data imbalance in Federated Learning | Open |
| Data Mining In a Warehouse Inventory | Björn Åstrand | A study of feature selection and distance measures for clustering big number of categories (>1000) and novelty detection in warehouse environment. | Open |
| Data analysis in collaboration with WirelessCar | Mahmoud Rahat Peyman Mashhadi Sławomir Nowaczyk |
Data analysis in collaboration with WirelessCar | Open |
| Data mining for fault diagnostics in cyberphysical systems | Thorsteinn Rögnvaldsson Stefan Byttner |
Data mining for fault diagnostics in cyberphysical systems | Open |
| Deep Active Learning for LiDAR Point Cloud Segmentation | Abu Mohammed Raisuddin Eren Erdal Aksoy |
Active Learning to improve data efficiency for LiDAR point Cloud Segmentation | Open |
| Deep Decision Forest | Sławomir Nowaczyk | Designing a deep model that uses decision trees instead of artificial neurons | Open |
| Deep Graph Networks for Future Graph Prediction | Eren Erdal Aksoy | In this project, the candidate is supposed to implement a deep graph network that receives a set of graphs as input and returns the predicted next upcoming graph(s). | Open |
| Deep Networks for Semantic Scene Understanding | Eren Erdal Aksoy | The candidate will implement a neural network to detect spatial relations between objects in the scene. For instance, the book is on the table or the spoon is in the cup. | Open |
| 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 | Open |
| Deep clustering for vehicle operation type | Reza Khoshkangini Peyman Mashhadi |
In this project, deep clustering will be used on the logged vehicle data (LVD) to find the best representation of vehicles’ operation to explain the behavior of the vehicles over time. | Open |
| 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 | Open |
| Deep learning and Back Order Solutions | Sławomir Nowaczyk | Deep learning and Back Order Solutions | Open |
| Deep neural network optimization for path prediction in vessels! | Reza Khoshkangini Enayat Rajabi |
The purpose of this thesis is analyzing a ferry dataset to identify the most optimal path using deep-net. | Open |
| Deep stacked ensemble | Sławomir Nowaczyk Peyman Mashhadi |
This project aims at training multiple parallel deep networks in such a way to learn different representation of data which will be suitable to frame these networks in stacked ensemble framework. | Open |
| Deepfake Detection | Stefan Byttner Jens Lundström Peyman Mashhadi |
Detecting deepfake images and videos using a diversified ensemble of deep models | Open |
| Detecting Faults and Estimating Missing Values in Smart Meter Data | Sławomir Nowaczyk Anita Sant'Anna Hassan Mashad Nemati |
Finding outliers and missing energy consumptions, and replace them with estimated values | Open |
| Detecting changes in causal relations | Sepideh Pashami Sławomir Nowaczyk |
Monitoring the operation of bus fleet by tracking the changes in causal network | Open |
| 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. | Open |
| 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. | Open |
| Developing a device for rapid water quality assessment | Ying Fu | develop a device with which a water sample may be analysed rapidly on the spot | Open |
| 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 | Open |
| Digital Twin - AFRY | TBD (Wojciech Mostowski) | Digital twin for consulting firm | Open |
| Driver Prediction for Automative Industry | Stefan Karlsson Cristofer Englund |
Investigate if and how it is possible to predict the drivers actions and inentions in a predefined limited number of scenarios | Open |
| Dynamic Churning-Based Logic Locking for Enhanced Hardware Security | Mahdi Fazeli | This project aims to explore and implement advanced logic locking techniques to improve the security of integrated circuits (ICs) against modern attacks. | Open |
| Dynamic Objects Detection and Tracking | Björn Åstrand Naveed Muhammad |
Dynamic Objects Detection and Tracking in Warehouses, Using 3D Sensors. | Open |
| EXIST: sEXism Identification in Social neTworks | Pablo Picazo-Sanchez | sEXism Identification in Social neTworks | Open |
| Effecient implementation of DL models on embedded platforms | Nesma Rezk Yuantao Fan Sławomir Nowaczyk |
In this project, we optimize DL models to run efficiently on resource-bounded embedded platforms. | Open |
| Electrical stimulator design and development | Abbas Orand & Eren Erdal Aksoy | Multi-pattern electrical stimulator design and development | Open |
| 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 | Open |
| Embeded wearable sensors application at the HINT | Abbas Orand | Using wearable stretch sensors to recognize activities of a user at HINT | Open |
| Emergency vehicle movement prediction | Cristofer Englund Stefan Byttner |
Emergency vehicle movement prediction | Open |
| Enhancing the Accuracy of CSI-Based Positioning in Massive MIMO Systems | Hazem Ali Ali Nada |
CSI-Based Positioning in Massive MIMO Systems | Open |
| 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 | Open |
| Ethical hacking of car-cloud communication | Eric Järpe Cristofer Englund |
Designing and assessing attacks against a car-cloud network | Open |
| Evaluating the Digital Tools for Promoting Sustainable Food Consumption | Azadeh Sarkheyli | To identify the key features and functionalities of sustainable food apps in Sweden | Open |
| Evaluating the Effects of Social Media on Educational Sustainability in Sweden | Azadeh Sarkheyli | The research analyzes sentiment in social media data related to educational sustainability practices and outcomes in Sweden. | Open |
| Evaluation of JAX in AI/ML software engineering | Veronica Gaspes Sławomir Nowaczyk |
Analysis of the benefits of JAX (and/or similar solutions) in terms of performance, development time, module reusability, etc. | Open |
| Evolving Kolmogorov-Arnold Networks | Mohammed Ghaith Altarabichi | This project aims to enhance the architecture of Kolmogorov-Arnold Networks (KANs) by optimizing key components such as loss functions, activation functions, initialization methods, and learning processes to improve their performance and interpretability. | Open |
| Explainable AI and poverty prediction | Thorsteinn Rögnvaldsson Mattias Ohlsson |
Provide explanations of AI data-driven poverty predictions in sub-saharan africa | Open |
| Explainable AI by Training Introspection | Jens Lundström Peyman Mashhadi Amira Soliman Atiye Sadat Hashemi |
Research and development of novel XAI methods based on training process information | Open |
| Explainable AI for predictive maintenance in collaboration with Volvo | Mahmoud Rahat Peyman Mashhadi |
Developing explainable models for predicting components failures of Volvo trucks | Draft |
| Explainable Decision Forest | Sławomir Nowaczyk Hamid Sarmadi Sepideh Pashami |
Designing an explainable decision forest classifier for fault detection | Open |
| Exploring, modelling and optimization of home care regions | Wagner O. De Morais Jens Lundström |
This project is about developing tools and methods for optimization of health care resources using machine learning as the central technology. | Open |
| FLBench: A Comprehensive Experimental Evaluation of Federated Learning Frameworks | Sadi Alawadi Jens Lundström |
Exploring Federated Learning Frameworks | Open |
| Fair Conformal Prediction | Ece Calikus | Our goal is to design algorithms using conformal prediction framework that make fair predictions across various groups based on e.g., age, sex, income. | Open |
| Fair representation learning of electronic health records | Ali Amirahmadi Ece Calikus Kobra Etminani |
Fair representation learning of electronic health records | Open |
| Fault detection using acoustic signals through anomaly detection | Elena Haller Peyman Mashhadi |
Fault detection using acoustic signals through anomaly detection | Open |
