Category:StudentProject

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• "TROLL": a regenerating robot

A

• A Decentralized IoT Infrastructure: A comparative study
• A decision support system for reducing false alarms in ICU
• A Reliable IoT Messaging Protocol Based on MQTT Standard
• A study about the future and usability of Bio-electronic “smart” implants in humans
• Action Library for Robot Execution
• Activity monitoring for AAL
• ActNormal
• Acumen Robot Model Series
• Adaptive warning field system
• Advanced AI based anonymization of traffic video data
• Agent and object detection and classification in a warehouse setting
• AI Enabled Service Market Logistics
• AI for sustainability management and reporting
• AI R&D at King
• Air Surveillance for Airport Safety Using Autonomous Vehicles
• Algorithm development for realtime route planning
• Analysing comments (NLP) for Malware Analysis
• Analysing Engine Performance based on Vehicle Data
• Analysis of Ambient Sound in HINT
• Analysis of industrial time series
• Analysis of Multi-Lingual Vehicle Service Histories
• Analysis of multi-machine/multi-sensor data
• Analysis of ocular image synthesis for cross-spectral recognition
• Analyzing Human Motion using Inertial Sensors
• Analyzing Privacy Policies (NLP) -- Malware Analysis
• Analyzing white blood cells in blood samples using deep learning techniques
• Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain
• Anomaly Detection for Predictive Maintenance with Elvaco
• Anomaly detection from IoT Time Series @AlfaLaval
• Anomaly detection in district heating data - with the Elvaco company
• Anomaly Detection of the Activities of the Elderly Living in the Smart Home
• Anomaly Detection on Truck Histograms
• Anomaly ranking of District Heating Substations
• Article Identification for Inventory List in a Warehouse Environment
• Assistance-seeking strategy for a flying robot during a healthcare emergency response
• Automated Inference regarding Goals in Elite Football Data
• Automatic Generation of Descriptive Features for Predicting Vehicle Faults
• Automatic Generation of Realtime Machine Learning Architectures
• Automatic Idea Detection for controlling Healthcare-associated infections
• Automatic Idea Detection from social media for Controlling and Preventing Healthcare-Associated Infections (with funding opportunity)
• Automatic Machine Learning (AUTO-AUTO-ENCODER!)
• Autonomous flying drone for vehicle classification

B

• Barcode mapping in warehouses
• BD prediction
• Be The Change: Online Video Selection for Climate Change Education
• Be The Change: Video Analysis for Environmental Sustainability
• Behaviour modeling and classification of vehicles at a roundabout
• Behaviour Recognition for automated cars
• Beyond 5G baseband processing on a multicore architecture
• Biases in electronic health records
• Blockchain for polls and elections
• Body posture alignment feedback using xAI
• Bowling: human motion quantification + ball quantification
• Browser Extensions Updates
• Building a Knowledge-based AI Framework for Mobility

C

• CACC
• Chess playing humanoid robot by vision
• Chess playing humanoid robots by vision
• Classifying heart diseases based on heart random numbers
• Clock Glitch Attacks on Embedded IoT Devices: An FPGA-Based Exploration
• Clustering of battery usage pattern for Electric buses
• Collaborative Filtering Recommendation System Location Content-based
• Comparative study of an automated testing coverage for a TCP/IP stack implementation
• Comprehending low-dimensional manifolds of temporal data from the home
• Conditional GAN for better embedding and generation of medical codes
• Connected Safety Vest for Roadworkers

C cont.

• Consensus clustering for categorizing orthogonal vehicle operations
• Constrained dynamic path planning for truck and trailer
• Contactless monitoring of blood pressure using photoplethysmography
• Convolutional Neural Network (CNN) features behaviour in the context of textures
• Convolutional Neural Network (CNN) responses when the number of classes increase
• CoopSim
• Courteous robot guide for visitors to an intelligent home
• Cross-Spectrum Ocular Identity Recognition via Deep Learning

D

• Data analysis in collaboration with WirelessCar
• Data Heterogeneity in Federated Learning
• Data mining for fault diagnostics in cyberphysical systems
• Data Mining In a Warehouse Inventory
• Data sharing and 3D coordination control between couple of mobile robots and a drone
• Deep Active Learning for LiDAR Point Cloud Segmentation
• Deep clustering for vehicle operation type
• Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance
• Deep Graph Networks for Future Graph Prediction
• Deep learning and Back Order Solutions
• Deep Networks for Semantic Scene Understanding
• Deep neural network optimization for path prediction in vessels!
• Deep Recurrent Networks for Machine Prognostics
• Deep stacked ensemble
• Deepfake Detection
• Detecting changes in causal relations
• Detecting different types of machines based on usage
• Detecting Faults and Estimating Missing Values in Smart Meter Data
• Detecting Points of Interest for Robotic First Aid
• Detection and intention prediction of pedestrians in zebra crossings
• Detection of smart cars cyber attacks
• Developing a device for rapid water quality assessment
• Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction
• Development of surveillance methods for sterilizers
• Digit recognition by lip-movements and time recursive Neural Networks
• Digital Twin - AFRY
• Driver Prediction for Automative Industry
• Dynamic Objects Detection and Tracking

E

• Effecient implementation of DL models on embedded platforms
• Electrical stimulator design and development
• Embedding DNN models on mobile robots for object detection
• Embeded wearable sensors application at the HINT
• Emergency vehicle movement prediction
• Estimating Architectural Properties of Buildings Based on Heating Data
• Ethical hacking of car-cloud communication
• Evaluation of captchas.
• Evaluation of JAX in AI/ML software engineering
• Evaluation of Open Source Robot Simulators for Smart Mobility Applications
• Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment
• EXIST: sEXism Identification in Social neTworks
• Explainable AI and poverty prediction
• Explainable AI by Training Introspection
• Explainable AI for predictive maintenance in collaboration with Volvo
• Explainable Anomaly Detection
• Explainable Decision Forest
• Exploration and Mapping of Warehouse Using Quadrotor Helicopters
• Exploring, modelling and optimization of home care regions

F

• F1tenth
• Face and eye categorization and detection
• Fair Conformal Prediction
• Fair representation learning of electronic health records
• Fault detection using acoustic signals through anomaly detection
• Feature-wise normalization for 3D medical images
• Federated Learning Aggregation Strategies by Weight Exploration
• Federated learning in automotive industry
• Finding patterns/motifs in time series data
• FirstResponse
• FLBench: A Comprehensive Experimental Evaluation of Federated Learning Frameworks
• Forecast energy consumption in buildings to help Mestro customers save energy

F cont.

• Forecasting Industrial IoT Time Series @AlfaLaval
• Forklift Trucks Usage Analysis
• Fuzz testing of network protocols

G

• Gait analysis using wearable sensors in Parkinson's disease
• Generating synthetic time series data in case of data scarcity
• Generative Approach for Multivariate Signals
• GenericMasterThesisDesc
• Graph Neural Networks for cardiovascular disease
• Graph Neural Networks for Multivariate Time Series Data Analysis
• Graph Neural Networks for Traffic Flow Forecasting
• Graphical Traffic Scenario Editor

H

• Hardware Security Enhancement in Cyber-Physical Systems using Deep Learning-based Anomaly Detection
• Hide-and-Seek Privacy Challenge (NeurIPS 2020)
• Human ground robot interaction
• Human identification by handwriting of identity text
• Human Motion Analysis using Inertial Sensors
• Human Value Detection
• Human-in-the-loop Discovery of Interpretable Concepts in Deep Learning Models
• Hydro Power Station

I

• Ice rink resurfacing system for selfdriving vehicles having spiral codes
• Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment
• Identity verification of humans performing physical activities
• Ideology and Power Identification in Parliamentary Debates
• Image Retrieval for Arguments
• Improved face tracking driven by optical flow
• Improved networks for cloud-car communication
• Improving MEDication Adherence through Person Centered Care and Adaptive Interventions
• Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA
• Improving Time-series Generative Adversarial Networks (GANs) for Generating Electronic Health Records (EHRs)
• Incorporate behaviour modelling into AGV safety performance stack
• Indoor localization for ground vehicles
• Integrating a new rigid-body dynamics model library with an existing whole-body controller
• Intelligent claim Process with Volvia
• Intelligible patient representation for outcome prediction of congestive heart failure patients
• Interactive Anomaly Detection
• Intrusion detection and prevention for IIoT using Ensemble Deep Network
• Investigating Robustness of DNNs
• Investigation of spread spectrum techniques to reduce the electromagnetic interference in switch mode power supply
• IoT Forensics

J

• Joint Analysis of Multimodal data on climate change for the educational purpose

L

• Label and Barcode Detection and Location in Large Field of View
• Leveraging LLMs for Clinical Note Annotation and Uncertainty Estimation
• LiDAR Denoising
• Lighting up the bicycle roads with drones

M

• Machine Learning and LeadTime Prediction
• Machine Learning for Segmentation of Lensed Galaxies: Distinguishing Source Galaxies from Gravitational Lenses
• Merging Clothoids with B-Splines
• Meta-learning for evaluation and implementation of predictive maintenance solution
• Meta-learning for Multivariate Signals
• Mining For Meanings In Robot Maps
• Mixed-Reality Robot Platform
• MMultitask Learning on Vehicle Data
• Mobile App Vulnerable Road Users
• Mobile Social Robot for Healthcare
• Model behaviour of agents in a warehouse setting
• Model Heterogeneity in Federated Learning
• Model Volvo Truck Lifetime Repair History
• Model-Based Testing of Zero-Copy Protocols
• Modeling and Exploration of Self Rated Health Data using Machine Learning
• Modeling patient trajectories using different representation learning techniques
• Modelling behavior and interaction of road users in transportation systems
• Modelling Health Recommender System using Hybrid Techniques
• Modelling vehicles'/drivers' behaviour using LVD
• Multi-modal risk prediction models on osteoporotic fracture, myocaridal infarction and stroke
• Multi-robot coordination in a warehouse
• Multi-robot trajectory adaptation using a state-time elastic band approach