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List of results

• Project opportunity at PERIsign  + (Peritonitis (inflammation of the peritoneum) detection via EMG-signals.)
• Piglets Detection and Counting using Deep Neural Networks  + (Piglets Detection and Counting using Deep Neural Networks)
• Mobile Social Robot for Healthcare  + (Pilot study about a small interactive mobile robots for therapy and healthcare in homes.)
• Pose & distance of toy-vehicles in front by spirals  + (Pose & distance of toy-vehicles by spirals)
• Security analysis of IIoT connectivity protocols  + (Potential security vulnerabilities of IIoTs platform connectivity protocols, such as CoAP and MQTT will be studied.)
• Object Movement Prediction for Autonomous Cars  + (Predicting the movement of objects in the context of autonomous cars)
• Predicting the status of machines with vibration data  + (Predicting the status of Alfa Laval's separator machines with vibration data)
• Anomaly detection in district heating data - with the Elvaco company  + (Project around predictive maintenance in district heating)
• Algorithm development for realtime route planning  + (Project at Sigma Technology)
• Network-assisted positioning in confined spaces using 802.11 Access Layer information  + (Proof of Concept of a Position-and-Time entity based on 802.11 to enable embedded beaconing systems (e.g., a “connected reflective vest”) for workers in confined spaces where satellite-based positioning is not possible.)
• Protecting bikers in traffic by computer vision  + (Protecting bikers in traffic by computer vision)
• Explainable AI and poverty prediction  + (Provide explanations of AI data-driven poverty predictions in sub-saharan africa)
• RAQUEL Robot Assisted QUiz Espying of Learners  + (RAQUEL Robot Assisted QUiz Espying Learners)
• RaspberryPiVolvoLogger  + (RaspberryPi-based solution for logging CAN data on Volvo trucks)
• Real-time bladder scanner  + (Real-time bladder scanner)
• Real-time flow compression for TCP and QUIC at the network edge  + (Real-time flow compression for TCP and QUIC at the network edge)
• Recognition of Human Intentions for Automated Cars  + (Recognition of Human Intentions for Automated Cars)
• Recognition of logotypes and signs in photos  + (Recognizing man-made 2D objects such as logotypes in photos of human environments)
• AI R&D at King  + (Reinforcement learning)
• Explainable AI by Training Introspection  + (Research and development of novel XAI methods based on training process information)
• In-Vehicle Data Acquisition for Driving Behavior Profiling and Automotive AI Applications  + (Research focus in-vehicle data acquisition techniques, building upon existing work and addressing key limitations in collecting comprehensive, real-world automotive datasets.)
• Resolving Class Imbalance using Generative Adversarial Networks  + (Resolving Class Imbalance using Generative Adversarial Networks)
• Reversible GANs  + (Reversible GANs)
• Risk as a Service with Volvia  + (Risk as a Service)
• Road user behavior prediction  + (Road user behavior recognition and manipulation using deep learning)

• Something to do with social robots  + (Robot Exercise Coach)

• Collaboration with Bankomat 4  + (Robustness of LLMs Against Prompt Injection Attacks RQ: What defense mechanisms can mitigate prompt injection vulnerabilities in enterprise LLM deployments?)
• Sandboxed scripting on embedded systems  + (Sandboxed scripting on embedded systems)
• Zenseact Scalable Mapping  + (Scalable mapping through crowd sourcing)
• Segment Routing based on Geographic Checkpoints  + (Segment Routing based on Geographic Checkpoints:)
• Segment-based coordination of Congestion Control  + (Segment-based coordination of Congestion Control)
• Segmentation and object identification in warehouse environments using machine learning  + (Segmentation and object identification in warehouse environments using machine learning)
• Trajectory prediction algorithms for intention sharing in Micromobility  + (Self-prediction of trajectories by Vulnerable Road Users to share their intentions with vehicles.)
• Semantic Analysis of 2D Maps With a Metric-Topological Approach  + (Semantic Analysis of 2D Maps With a Metric-Topological Approach.)
• Sensor fusion and machine learning for drone detection and classification  + (Sensor fusion and machine learning for drone detection and classification)
• Service Centric Mobility Management in LEO Constellations  + (Service Centric Mobility Management in LEO Constellations)
• CoopSim  + (Simulation of cooperative systems behavior in the presence of faults)
• Situation awareness in traffic  + (Situation awareness in traffic)
• Smart sensor  + (Small smart sensors)
• Non-Invasive Safety Monitoring via Integrated Sensing and Communication  + (Smart sensing for motion, presence, and accident detection—without cameras)
• Using Deep Q-Learning (Alpha-Go algorithm) to solve routing problems in warehouse logistics  + (Solving the famous vehicle-routing problem using Deep Q-Learning)
• Bowling: human motion quantification + ball quantification  + (Study visual parameters to quantify human and ball motion, aiming to be better bowling player)
• One dimensional frequency decomposition of oriented local images applied to fingerprints  + (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.)
• Transfer Learning for Machine Diagnosis and Prognosis  + (Study and develop deep adversarial neural networks (DANN) based methods to detect faults and predict failures in industrial equipment, under transfer learning scenarios.)
• Comprehending low-dimensional manifolds of temporal data from the home  + (Study and development of tools and methods for the visualization of (temporal) human activity patterns.)
• Transfer Learning for Network Security  + (Study of Transfer Learning techniques in Network Security applications- Network Traffic Classification and Intrusion Detection)
• On control of robots in remote workspaces using lasers  + (Supervised autonomy for controlling robots at remote locations. Lasers and ultrasonic ranging to be used.)
• Improving Time-series Generative Adversarial Networks (GANs) for Generating Electronic Health Records (EHRs)  + (Synthetic Electronic Health Records)
• Conditional GAN for better embedding and generation of medical codes  + (Synthetic data generation of Electronic Health Records with a focus on medical codes)
• Project with Whole AB  + (TBD)
• Smart City Monitoring Using Ontology-based Machine Learning  + (The aim of this project is to create ontology-based supervised and unsupervised machine learning methods for self monitoring to improve reliability of complex environments in smart cities)