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List of results

• Identity verification of humans performing physical activities  + (Background in signal analysis and programming are required. Interest in inertial sensors is a bonus.)
• RaspberryPiVolvoLogger  + (Basic Linux knowledge, programming competence, possibly electronics experience, Cooperating Intelligent Systems or equivalent basic Artificial Intelligence course)
• Coordinated Multi-Drone Pattern Formation with Crazyflie & Lighthouse  + (Basic Python, ROS 2, linear algebra & coordinate frames; Git/Linux)
• In-Vehicle Data Acquisition for Driving Behavior Profiling and Automotive AI Applications  + (Communication, programming and hardware skills.)
• Modelling Health Recommender System using Hybrid Techniques  + (Completed courses in basic machine learning are required.)
• Comprehending low-dimensional manifolds of temporal data from the home  + (Completed courses in basic machine learning is required.)
• Contactless monitoring of blood pressure using photoplethysmography  + (Computer vision or digital image processing, digital signal processing, Machine learning, Artificial Intelligence)
• Automatic Generation of Realtime Machine Learning Architectures  + (Contact : Yousra Alkabani and Hazem Ali)
• Traffic Estimation From Vehicle Data  + (Cooperating Intelligent Systems and Learning Systems courses Some level of Matlab and/or Python programming knowledge is recommended)
• Analysing Engine Performance based on Vehicle Data  + (Cooperating Intelligent Systems and Learning Systems courses)
• Representation of Complex Data Types for Machine Learning  + (Cooperating Intelligent Systems and Learning Systems courses)
• Detecting Faults and Estimating Missing Values in Smart Meter Data  + (Cooperating Intelligent Systems and Learning Systems courses)
• Supervised/Unsupervised Electricity Customer Classification  + (Cooperating Intelligent Systems and Learning Systems courses)
• Short-Term Energy Demand Forecasting  + (Cooperating Intelligent Systems and Learning Systems courses)
• Improving MEDication Adherence through Person Centered Care and Adaptive Interventions  + (Courses Artificial Intelligence, learning systems. Good knowledge in applied data science/machine learning. Ability to implement state-of-the-art machine learning algorithms in a programming environment of your choice.)
• Exploring, modelling and optimization of home care regions  + (Courses preferable: Learning Systems, Data Mining. Preferable programming skills: R, Python, Matlab.)
• Analysis of industrial time series  + (Data Mining Course)
• Time Series Motif/Discord Discovery Under Context  + (Data Mining Course)
• Forecasting Industrial IoT Time Series @AlfaLaval  + (Data Mining Course (Lecture: Time Series Analysis))
• Anomaly detection from IoT Time Series @AlfaLaval  + (Data Mining Course: Lectures 5 (Time Series Analysis) and 6 (Anomaly Detection))
• Forklift Trucks Usage Analysis  + (Data Structure and Algorithms, Artificial Intelligence and Learning Systems courses, programming skills for implementing machine learning algorithms)
• Consensus clustering for categorizing orthogonal vehicle operations  + (Data mining course.)
• Object Detection for Autonomous Vehicles  + (Deep Learning and Applications)
• 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)
• Thesis in connection with KEEPER project  + (Good knowledge of machine learning)