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List of results

• Model-Based Testing of Zero-Copy Protocols  + (6 months, starting as soon as possible)
• Analysis of industrial time series  + (ASAP)
• Quantum Machine Learning models for predicting disease  + (ASAP)
• Graph Neural Networks for cardiovascular disease  + (ASAP)
• Gait analysis using wearable sensors in Parkinson's disease  + (Autumn 2020 - Spring 2021)
• Explainable Decision Forest  + (Autumn 2024)
• Project opportunity at PERIsign  + (Autumn 2024)
• Tabular Health Data Under Attack: Benchmarking Privacy Risks and Defenses  + (Autumn25-Spring26)
• Constrained dynamic path planning for truck and trailer  + (Dec 2014 - June 2015)
• Comparative study of an automated testing coverage for a TCP/IP stack implementation  + (Dec 2020 - May 2021)
• Security analysis of IIoT connectivity protocols  + (Dec 2021 - May 2022)
• Reinforcement learning for End-to-End autonomous driving  + (December 2016 - June 2017)
• Automatic Generation of Realtime Machine Learning Architectures  + (December 2020, May 2021)
• Recurrent and Deep Learning for Machine Prognostics  + (Fall 2017)

• Automatic Machine Learning (AUTO-AUTO-ENCODER!)  + (Fall 2018)
• Contactless monitoring of blood pressure using photoplethysmography  + (Fall 2018)
• Deep Recurrent Networks for Machine Prognostics  + (Fall 2018)
• Deep learning and Back Order Solutions  + (Fall 2018)
• Machine Learning and LeadTime Prediction  + (Fall 2018)
• Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring  + (Fall 2018)
• Understand Patterns in Volvo Truck Lifetime Repair History  + (Fall 2018)
• Understanding usage of Volvo trucks  + (Fall 2018)
• Wisdom of the crowd, is there a single crowd?  + (Fall 2018)

• Automatic Generation of Descriptive Features for Predicting Vehicle Faults  + (Fall 2019)
• Detecting changes in causal relations  + (Fall 2019)
• Detecting different types of machines based on usage  + (Fall 2019)
• Estimating Architectural Properties of Buildings Based on Heating Data  + (Fall 2019)
• Representation Learning for Deviation Detection  + (Fall 2019)
• Forklift Trucks Usage Analysis  + (Fall 2019)
• Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning  + (Fall 2019)
• Transfer Learning for Machine Diagnostics and Prognostics  + (Fall 2019)
• Analyzing white blood cells in blood samples using deep learning techniques  + (Fall 2019)
• AI Enabled Service Market Logistics  + (Fall 2019)
• Value of BIG DATA for Large Building Owners  + (Fall 2019)
• AI R&D at King  + (Fall 2019)
• F1tenth  + (Fall 2019)
• Forecast energy consumption in buildings to help Mestro customers save energy  + (Fall 2020)
• Intelligent claim Process with Volvia  + (Fall 2020)
• Risk as a Service with Volvia  + (Fall 2020)
• Transfer Learning for Machine Diagnosis and Prognosis  + (Fall 2020)
• Algorithm development for realtime route planning  + (Fall 2020)
• Thesis with Jayway  + (Fall 2020)
• Sandboxed scripting on embedded systems  + (Fall 2021)
• Effecient implementation of DL models on embedded platforms  + (Fall 2021)