Search by property

This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

• IoT Forensics  + (To achieve a systematic approach for data extraction (i.e., imaging), forensically sound, from the hardware level)
• XAI for yoga posture recognition  + (To analyze the classification of yoga postures and the potential misclassification due to occlusion and perspective of images)
• Analyzing white blood cells in blood samples using deep learning techniques  + (To analyze white blood cell content in blood samples using deep learning techniques.)
• Mining For Meanings In Robot Maps  + (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.)
• Face and eye categorization and detection  + (To build a new database of face and eye images of different species and to evaluate holistic and local detection algorithms)
• AI-Driven Semantic Encoding for Efficient Communication  + (To develop and evaluate an AI-based semantic encoding model capable of transforming raw data into compact, structured representations.)
• Biases in electronic health records  + (To evaluate the impact of sample bias on the predictive value of machine learning models built using EHR data)
• Evaluating the Digital Tools for Promoting Sustainable Food Consumption  + (To identify the key features and functionalities of sustainable food apps in Sweden)
• Identity verification of humans performing physical activities  + (To verify the identity of an individual performing a particular activity with sensors placed at different parts of the body)
• Blockchain for polls and elections  + (Today, there is no blockchain solution that meets the requirements for polls/elections; therefore, we would like to develop our own)
• Towards robustness of post hoc Explainable AI methods  + (Towards robustness of post hoc Explainable AI methods)
• Activity monitoring for AAL  + (Tracking of more than one person in a smart environment using fixed sensors and a mobile robot)
• CACC  + (Traffic situation estimator for adaptive cruise control (ACC))
• Understanding Applicability of Echo State Networks to Diverse Industrial Data  + (Understanding the Governing Dynamics of Echo State Networks (ESN) on time varying signals (in terms of properties) from different industry sources.)
• Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models  + (Use advanced LLMs to describe and interpret sensor data from autonomous vehicles.)
• Project with chargefinder.com  + (Use data to create a machine learning model that can predict estimated availability of a specific charger based on day, time and maybe other external factors (holiday, weather))
• Barcode mapping in warehouses  + (Using barcode detection and decoding for mapping the infrastructure and inventory of warehouses)
• Visual Transformers for 3D medical images Classification: use-case neurodegenerative disorders  + (Using visual transformers for predicting the diagnosis of multiple neurodegenerative brain disorders)
• Embeded wearable sensors application at the HINT  + (Using wearable stretch sensors to recognize activities of a user at HINT)
• Visual analysis for infotainment in car interiors  + (Visual analysis to steer infotainment in car interiors)
• Analyzing Gender Bias in Pose Estimation Models  + (We will analyze the gender bias of current pose estimation models when trained with unbalanced gender data)
• Label and Barcode Detection and Location in Large Field of View  + (Wide angle images are logged during a warehouse exploration. Design of a detection and localization method for barcodes (and/or labels) in the scope, based on such an acquisition is desired.)
• Interactive XAI using LLMs  + (XAI methods would benefit greatly from becoming more interactive: this project aims to explore the use of LLMs for this purpose)

• Zero-Shot Learning for Semantic Segmentation  + (Zero-Shot Learning for Semantic Segmentation)

• Analysis of ocular image synthesis for cross-spectral recognition  + (analyze the performance of generative model for image-to-image translation of ocular images between different spectrum)
• On detecting deviations by autonomously discovering district heating control strategy used by buildings  + (autonomously detect control strategy and building type from district heating data)
• Autonomously discovering district heating control strategy used by buildings  + (autonomously discovering district heating control strategy used by buildings)
• Conversational AI for Reliable Insights from Industrial Telemetry (with Alfa Laval)  + (collaborate with Alfa Laval (a leading national and global company); Conversational AI for industrial telemetry, combining language models with numerical data and documentation to deliver reliable, explainable insights on machine status and performance.)
• Sensitivity‑Aware Hardening and Run‑Time Detection of Stealthy Weight‑Drift Trojans in ML Accelerators  + (design and evaluate sensitivity-aware defences that detect and mitigate stealthy, gradual weight-drift Trojans in FPGA-based ML accelerators)
• Developing a device for rapid water quality assessment  + (develop a device with which a water sample may be analysed rapidly on the spot)
• Data-Driven Activity Recognition and Energy Consumption Forecasting for Heavy-Duty Vehicles  + (develop a machine learning framework for activity recognition and energy consumption forecasting, in collaboration with Volvo Group)
• Explainable GNNs for Security Verification of RISC-V Cores  + (develop an explainable graph-neural-network (GNN) workflow that localises security-relevant weaknesses in open-source RISC-V cores at RTL.)
• Multi-modal risk prediction models on osteoporotic fracture, myocaridal infarction and stroke  + (develop and evaluate how well a multimodal model derived from the regional healthcare information platform, with or without the CT-derived measures, can predict the risk of subsequent osteoporotic fracture, myocardial infarction and stroke)
• Anomaly Detection for Heavy-duty Vehicles  + (develop contextual and explainable anomaly detection algorithms for monitoring critical components and their efficiencies in heavy-duty vehicles; in collaboration with Volvo Group)
• Asynchronous Federated Learning for Commercial Vehicle Fleets  + (explore and design Asynchronous Federated Learning strategies for commercial vehicle fleets in AI-driven digital services)
• Quantum Machine Learning models for predicting disease  + (explore quantum models, including hybrid (classical-quantum), and apply them to different disease prediction tasks)
• Ice rink resurfacing system for selfdriving vehicles having spiral codes  + (ice rink resurfacing system for selfdriving vehicles having spiral codes)
• Profiling ML Side-Channel on CiM for Input Reconstruction  + (investigate whether supervised models (e.g., U-Net/pix2pix) can reconstruct pri- vate inputs from CiM-generated “power-feature matrices” and how noise/sampling constrain feasibility.)
• Securing Internet of Autonomous Vehicles with Light-weight Authentication  + (investigating the HW/SW design of light-weight authentication for IoAV)
• Mapping SFO mitigation/Linearization algorithms, trade-off between memory and computation on GPU  + (investigating the parallelisation and mapping of Sampling Frequency Offset algorithms)
• Prediction of neurodegenerative disorders based on brain images  + (prediction of neurodegenerative disorders based on brain images using deep learning algorithms)
• EXIST: sEXism Identification in Social neTworks  + (sEXism Identification in Social neTworks)
• Safety assurance for human in automated crane environment  + (safety assurance for human in automated crane environment)
• Social touch for robots  + (something with social robots)
• Analysis of industrial time series  + (studying the recent advances in time series forecasting and their application in modelling time series of Alfa Laval's industrial machines)
• Clock Glitch Attacks on Embedded IoT Devices: An FPGA-Based Exploration  + (this thesis aims to provide a comprehensive understanding of the vulnerabilities and potential countermeasures associated with clock glitch attacks on FPGA based IoT devices)