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List of results

• Deep Networks for Semantic Scene Understanding  + (Deep Neural Networks)
• Adaptive Knowledge Aggregation in Asynchronous Reinforcement Learning  + (Deep Reinforcement Learning course. Good knowledge of Machine Learning and preferably Reinforcement learning. Good programming skills - Required for the implementation of investigated methods.)
• Anomaly Detection in Time Series Data Using Generative Models  + (Deep learning)
• A Meta-Learning Approach for Preserving and Transferring Beneficial Behaviors in Asynchronous Multi-Agent Reinforcement Learning  + (Deep learning course. Good programming knowledge in Python. Good knowledge of ML and preferably Meta-learning/RL and OpenAI gym.)
• Body posture alignment feedback using xAI  + (Deep learning courses and interest in explainable AI (xAI))
• Autonomous flying drone for vehicle classification  + (Deep learning, image analysis)
• Real-time bladder scanner  + (Electronics advanced level, measurement techniques.)
• Posture Estimation for Motorcycle Riders Using Multi-IMU Systems and Video-Based Ground Truth  + (Embedded systems programming (ESP32, microROS) Sensor fusion techniques (e.g., Extended Kalman Filter) Basic machine learning (optional, for posture classification) Familiarity with Python or MATLAB for data analysis)
• Ethical hacking of car-cloud communication  + (Ethical Hacking)
• Zero-Shot Learning for Semantic Segmentation  + (Excellent Programming Skills; Excellent Grasp of Deep Learning and Pytorch)
• A study about the future and usability of Bio-electronic “smart” implants in humans  + (Experience with programming, electronics, NFC/Mifare and other wireless protocols and sensor wearables. Interest and experience in Biohacking and wetware is also good.)
• Posture Estimation for Motorcycle Simulator Riders Using Remote Sensing and IMU-Based Systems  + (Familiarity with ROS and CARLA simulator Knowledge of computer vision (e.g., pose estimation frameworks) Experience with IMU data processing and sensor fusion Python programming for data analysis and integration)
• Dynamic Objects Detection and Tracking  + (Familiarity with filtering techniques (eg. EKF) for mobile robots localization, Image analysis, programming skills (preferably C++ or Python).)
• Recognition of logotypes and signs in photos  + (Good Knowledge in Image Analysis and Math)
• Machine Learning for Segmentation of Lensed Galaxies: Distinguishing Source Galaxies from Gravitational Lenses  + (Good Programing skills, previous experience with CNN and deep learning, interest in astronomy data.)
• Digit recognition by lip-movements and time recursive Neural Networks  + (Good knowledge in Image Analysis and Computer Vision in 3D)
• Segmentation of shoeprints  + (Good knowledge in Image Analysis, Math)
• Bowling: human motion quantification + ball quantification  + (Good knowledge in Image Analysis, and Computer Vision in 3D)
• Meta-learning for evaluation and implementation of predictive maintenance solution  + (Good knowledge of applied data science: classification and regression. Basic knowledge of optimization.)
• Replacements vs repairs. What is really a breakdown from the point of view of the data?  + (Good knowledge of applied data science: supervised and unsupervised learning.)
• Wisdom of the crowd, is there a single crowd?  + (Good knowledge of applied data science: supervised and unsupervised learning.)
• A decision support system for reducing false alarms in ICU  + (Good knowledge of applied mathematics and signal processing. An ability to implement state-of-the-art algorithms in a suitable programming environment. An interest in machine learning algorithms.)
• Cross-Spectrum Ocular Identity Recognition via Deep Learning  + (Good knowledge of applied mathematics, signal and image processing, and machine learning. Programming skills (preferably Matlab).)
• Detection and intention prediction of pedestrians in zebra crossings  + (Good knowledge of applied mathematics, signal and image processing. Programming skills (preferably Matlab).)
• Intelligible patient representation for outcome prediction of congestive heart failure patients  + (Good knowledge of applied mathematics. An ability to implement state-of-the-art algorithms in a suitable programming environment. An interest in machine learning algorithms and medical data analysis.)
• Biases in electronic health records  + (Good knowledge of applied mathematics. An ability to implement state-of-the-art algorithms in a suitable programming environment. An interest in machine learning algorithms and medical data analysis.)
• Concept Re-identification to Explain Online Continual Learning  + (Good knowledge of data stream learning)

• AI-driven Automotive Service Market Logistics  + (Good knowledge of machine learning)
• Conversational AI for Reliable Insights from Industrial Telemetry (with Alfa Laval)  + (Good knowledge of machine learning)
• Empowering Adult Learners and Educators through AI  + (Good knowledge of machine learning)
• HUMAI - Test and Demonstration of HUMan-centered AI  + (Good knowledge of machine learning)
• Thesis in connection with KEEPER project  + (Good knowledge of machine learning)

• Workshop Automation together with Volvo Group  + (Good knowledge of machine learning & robotics)
• Deepfake Detection  + (Good knowledge of machine learning and deep learning; programming skills for implementing deep learning algorithms)
• Detecting different types of machines based on usage  + (Good knowledge of machine learning and programming skills for implementing machine learning algorithms)
• Smart City Monitoring Using Ontology-based Machine Learning  + (Good knowledge of machine learning and programming skills for implementing machine learning algorithms)
• Understanding usage of Volvo trucks  + (Good knowledge of machine learning and programming skills for implementing machine learning algorithms)
• Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning  + (Good knowledge of machine learning, convolutional neural networks and programming skills for implementing machine learning algorithms)
• Analyzing white blood cells in blood samples using deep learning techniques  + (Good knowledge of machine learning, convolutional neural networks and programming skills for implementing machine learning algorithms)
• Model-Based Testing of Zero-Copy Protocols  + (Good programming skills, preferably the course on Testing and Verification of Embedded Systems complete, or similar.)
• Blood splatter analysis  + (Have done or doing the Image Analysis, Computer Vision in 3D and Deep Learning courses.)
• Chess playing humanoid robot by vision  + (Image Analysis)
• Pose & distance of toy-vehicles in front by spirals  + (Image Analysis)
• Protecting bikers in traffic by computer vision  + (Image Analysis)
• RAQUEL Robot Assisted QUiz Espying of Learners  + (Image Analysis)
• Human identification by handwriting of identity text  + (Image Analysis)
• Ice rink resurfacing system for selfdriving vehicles having spiral codes  + (Image Analysis, DEIS (Design of Embedded...))
• Article Identification for Inventory List in a Warehouse Environment  + (Image Analysis, Machine Learning, programming skill)
• Surface normal estimation by Spiral Codes  + (Image Analysis, multi-variable calculus)
• Convolutional Neural Network (CNN) features behaviour in the context of textures  + (Image Analysis: Grade 4 or 5)
• Obstacle Identification from 3D Data for AGVs in a Warehouse Environment  + (Image analysis, machine learning, programming skill, ROS and PLC)
• Semantic Analysis of 2D Maps With a Metric-Topological Approach  + (Image analysis, programming skill, machine learning)
• Pallet Detection and Mapping  + (Image analysis, programming skills (preferably C++ or Python), familiarity with pattern recognition, Familiarity with filtering techniques (eg. EKF) for mobile robots mapping.)
• Adaptive warning field system  + (Image analysis, programming skills (preferably C++ or Python))
• Barcode mapping in warehouses  + (Image analysis, programming skills (preferably C++ or Python).)