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List of results

• Safety assurance for human in automated crane environment  + (October 2017 to June 2018, with possible extension to September 2018)
• On control of robots in remote workspaces using lasers  + (October 2017 to June 2018, with possible extension to September 2018)
• Non-contact estimation of blood pressure using photoplethysmography  + (October 2018 to July 2019)
• BD prediction  + (Spring 2014)
• Smart Home Simulation  + (Spring 2015)
• RaspberryPiVolvoLogger  + (Spring 2015)
• Investigating Robustness of DNNs  + (Spring 2015)
• Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment  + (Spring 2015)
• Model Volvo Truck Lifetime Repair History  + (Spring 2016)
• Development of surveillance methods for sterilizers  + (Spring 2016)
• Analysing Engine Performance based on Vehicle Data  + (Spring 2016)
• Emergency vehicle movement prediction  + (Spring 2016)
• Analysis of Multi-Lingual Vehicle Service Histories  + (Spring 2017)
• Recognition of Human Intentions for Automated Cars  + (Spring 2017)
• Representation of Complex Data Types for Machine Learning  + (Spring 2017)
• Traffic Estimation From Vehicle Data  + (Spring 2017)
• Mining For Meanings In Robot Maps  + (Spring 2017)
• Understanding Applicability of Echo State Networks to Diverse Industrial Data  + (Spring 2017)
• Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA  + (Spring 2017)
• Autonomously discovering district heating control strategy used by buildings  + (Spring 2018)
• On detecting deviations by autonomously discovering district heating control strategy used by buildings  + (Spring 2018)
• Biases in electronic health records  + (Spring 2019)
• Speaker/speech recognition and engagement  + (Spring 2019)
• A study about the future and usability of Bio-electronic “smart” implants in humans  + (Spring 2019)
• Detection of smart cars cyber attacks  + (Spring 2020)
• Sensor fusion and machine learning for drone detection and classification  + (Spring 2020)
• Improved networks for cloud-car communication  + (Spring 2020)

• Conversational AI for Reliable Insights from Industrial Telemetry (with Alfa Laval)  + (Spring 2025)
• Machine Learning-based optimization of physical activity  + (Spring 2025)
• Prototype Aligned Embedding for Time Series Forecasting  + (Spring 2025)
• XAI for yoga posture recognition  + (Spring 2025)

• Identification and Classification of Automotive Radar Interference using Data-driven Methods  + (Spring 2026)
• Machine Unlearning Faithfulness with XAI  + (Spring 2026)
• Knowledge graphs 4 XAI in Healthcare  + (Spring 2026)
• Timeseries XAI in Cybersecurity and Industry  + (Spring 2026)
• Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models  + (Spring 2026)
• Security Vulnerabilities in Multi-Model Computing-in-Memory Systems  + (Spring 2026 (Jan–Jun))
• Profiling ML Side-Channel on CiM for Input Reconstruction  + (Spring 2026 (Jan–Jun))
• AGENTIC-AI TOWARDS INTERPRETATION OF SERVICE CANVAS AND AUTOMATION OF TRUSTWORTHY ML-PIPELINES  + (Start 2025 Autumn)
• Semantic Analysis of 2D Maps With a Metric-Topological Approach  + (Start: February 2014, End: June 2014)
• Obstacle Identification from 3D Data for AGVs in a Warehouse Environment  + (Start: February 2014, End: June 2014)
• Article Identification for Inventory List in a Warehouse Environment  + (Start: February 2014, End: June 2014)
• NOMAD  + (The project should be done during the spring of 2014 and finished in late May. Ideally, the student(s) should start before the end of 2013.)
• Data mining for fault diagnostics in cyberphysical systems  + (The project should be done during the spring of 2014 and finished in late May. Ideally, the student(s) should start before the end of 2013.)
• Autonomous flying drone for vehicle classification  + (VT2022)
• Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction  + (VT24)
• Explainable Anomaly Detection  + (VT24)
• Exploring, modelling and optimization of home care regions  + (Winter 2016 / Spring 2017)
• A decision support system for reducing false alarms in ICU  + (Winter 2016 / Spring 2017)
• Vehicle Operation Classification  + (Winter 2016 / Spring 2017)
• Intelligible patient representation for outcome prediction of congestive heart failure patients  + (Winter 2017 / Spring 2018)
• Meta-learning for evaluation and implementation of predictive maintenance solution  + (Winter 2018 / Summer 2019)
• Resolving Class Imbalance using Generative Adversarial Networks  + (Winter 2018, Spring 2019)
• Piglets Detection and Counting using Deep Neural Networks  + (Winter 2018, Spring 2019)