Student projects
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Half-time seminar will be (preliminarily) on 19th of February (please note that it's a bit earlier than I've indicated during the introductory lecture, as we've decided it makes more sense to provide this feedback sooner rather than later), and final seminar will be at end of May (reports due middle of May).
MSc thesis project information
MSc thesis Introductory lecture
Current Proposals of Msc and Bsc Project
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| Supervisors | OneLineSummary | Status | |
|---|---|---|---|
| A Meta-Learning Approach for Preserving and Transferring Beneficial Behaviors in Asynchronous Multi-Agent Reinforcement Learning | Alexander Galozy | Develop a meta-learning system that preserves beneficial behaviors discovered by individual agents and adapts them for transfer across a population in asynchronous reinforcement learning. | Open |
| A Reliable IoT Messaging Protocol Based on MQTT Standard | Mahdi Fazeli | In this project, we will modify the well-known IoT protocol, i.e., MQTT to consider a topic-based reliability strategy between the broker and subscribers. | Open |
| AGENTIC-AI TOWARDS INTERPRETATION OF SERVICE CANVAS AND AUTOMATION OF TRUSTWORTHY ML-PIPELINES | Peyman Mashhadi Stefan Byttner Jens Lundström | This project allows the MSc student(s) to study and experiment on Agentic AI methods for the generation of trustworthy ML-pipelines | Open |
| AI Enabled Service Market Logistics | Mahmoud Rahat Sławomir Nowaczyk Iulian Carpatorea | Develop a toolkit for a successful implementation of an AI application for Service Market Logistics, with a working AI in a pilot environment and an implementation process evaluation as an output. | Open |
| AI R&D at King | Sepideh Pashami | Reinforcement learning | Open |
| AI for sustainability management and reporting | Eric Järpe Cristofer Englund | Connect AI models to sustainability / ESG (social, environmental, and governance) to enable automated processing related to EU sustainability regulations. | Open |
| AI-Driven Semantic Encoding for Efficient Communication | EDISON PIGNATON DE FREITAS | To develop and evaluate an AI-based semantic encoding model capable of transforming raw data into compact, structured representations. | Open |
| AI-driven Automotive Service Market Logistics | TBD Sławomir Nowaczyk | This project, in collaboration with Volvo Logistics, focuses on using state-of-the-art methods based on meta-learning to improve demand forecasting, inventory management and spare parts availability at Volvo dealers and warehouses. | Open |
| Action Library for Robot Execution | Eren Erdal Aksoy | Action Library for Robot Execution | Open |
| Adaptive Knowledge Aggregation in Asynchronous Reinforcement Learning | Alexander Galozy | Develop an adaptive method to combine knowledge from multiple reinforcement learning agents more efficiently in asynchronous setups. | Open |
| Adaptive Obfuscation Techniques for Privacy- Preserving Machine Learning in IoT Edge De- vices | Mahdi Fazeli | This master thesis project focuses on developing an adaptive obfuscation frame- work for protecting multi-modal data in resource-constrained IoT environments. | Open |
| Advanced AI based anonymization of traffic video data | Yury Tarakanov (Viscando) Felix Rosberg (Berge) Fernando Alonso-Fernandez | Advanced AI based anonymization of traffic video data (with Viscando and Berge) | Open |
| Analysing comments (NLP) for Malware Analysis | Pablo Picazo-Sanchez | Analysing the comments of users in the WebStore to look for malware patterns | Open |
| Analysis of industrial time series | Hadi Fanaee | studying the recent advances in time series forecasting and their application in modelling time series of Alfa Laval's industrial machines | Open |
| Analysis of multi-machine/multi-sensor data | Mahmoud Rahat Hadi Fanaee-T (www.fanaee.com) | Data mining on multi-machine/multi-sensor time series data | Open |
| Analyzing Gender Bias in Pose Estimation Models | Kevin Hernandez Diaz | We will analyze the gender bias of current pose estimation models when trained with unbalanced gender data | Open |
| Analyzing Privacy Policies (NLP) -- Malware Analysis | Pablo Picazo-Sanchez | Analyzing Privacy Policies (NLP) -- Malware Analysis | Open |
| Anomaly Detection for Heavy-duty Vehicles | TBD Yuantao Fan | develop contextual and explainable anomaly detection algorithms for monitoring critical components and their efficiencies in heavy-duty vehicles; in collaboration with Volvo Group | Open |
| Anomaly Detection for Time Series using Diffusion Approaches | Sławomir Nowaczyk & TBD | Development of Anomaly Detection techniques based on diffusion models (instead of autoencoders) for time series data | Open |
| Anomaly Detection in Time Series Data Using Generative Models | Guojun Liang | Anomaly Detection in Time Series Data Using Generative Models | Open |
| Anomaly Detection of the Activities of the Elderly Living in the Smart Home | Reza Khoshkangini Abbas Orand | In this project we detect the anomaly of the actives of the elderly people or those with some sorts of health problem. | Open |
| Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain | Ece Calikus Farzaneh Etminani Sławomir Nowaczyk | Detecting anomalous buildings according to how they consume power on a seasonal daily basis | Open |
| Anomaly detection from IoT Time Series @AlfaLaval | Hadi Fanaee | Anomaly detection from IoT Time Series @AlfaLaval | Open |
| Asynchronous Federated Learning for Commercial Vehicle Fleets | Zahra Taghiyarrenani Yuantao Fan | explore and design Asynchronous Federated Learning strategies for commercial vehicle fleets in AI-driven digital services | Open |
| Automated Inference regarding Goals in Elite Football Data | Martin Andreas Summrina Kunru | Automated Inference regarding Goals in Elite Football Data | Open |
| Automatic Generation of Realtime Machine Learning Architectures | Yousra Alkabani Hazem Ali | In this project, it is required to build a tool to generate a dataflow model and construct architectures for such algorithms, while minimizing latency or meeting a specific deadline under area and power constraints. | Open |
| Automatic Idea Detection for controlling Healthcare-associated infections | Mahmoud Rahat Peyman Mashhadi Fabio Gama | This project aims to use advanced NLP tools to automatically detect interesting ideas by processing text available in the medical forums to address the Healthcare-associated infections problem in the hospitals | Open |
| Automatic Idea Detection from social media for Controlling and Preventing Healthcare-Associated Infections (with funding opportunity) | Mahmoud Rahat Peyman Mashhadi Fabio Gama | This project aims to use advanced NLP tools to automatically detect interesting ideas by processing text available in the medical forums to address the Healthcare-associated infections problem in the hospitals | Open |
| Autonomous Trust and Access Control in Coalition IoBT Networks | Edison Pignaton de Freitas | Design a decentralized, behavior-based trust and access control system that adapts autonomously under disconnected, adversarial conditions. | Open |
| Autonomous flying drone for vehicle classification | Martin Torstensson Cristofer Englund Fernando Alonso-Fernandez | Building an autonomous flying drone for vehicle classification | Open |
| Autonomy-Aware Trust Modeling in Heterogeneous IoBT - Teams | EDISON PIGNATON DE FREITAS | Develop and evaluate a trust model that dynamically weights behavioral indicators based on agents' autonomy levels (Response Demand, Response Production, Response Selection). | Open |
| Be The Change: Video Analysis for Environmental Sustainability | Zeinab Shahbazi Sławomir Nowaczyk | Analysis of online climate change video contents and identification of video features rendering a video ‘effective’ using machine learning techniques | Open |
| Beyond 5G baseband processing on a multicore architecture | Süleyman Savas | Implementation and evaluation of beyond 5G baseband algorithms on an embedded (Epiphany) processor with 16 cores | Open |
| Blockchain for polls and elections | To be decided (contact Slawomir Nowaczyk for more details) | Today, there is no blockchain solution that meets the requirements for polls/elections; therefore, we would like to develop our own | Open |
| Blockchain-Assisted Data Integrity in Eventually Consistent IoBT Systems | Edison Pignaton de Freitas | Build a lightweight blockchain or distributed ledger tailored for IoBT that ensures post-partition reconciliation and prevents data tampering. | Open |
| Blood splatter analysis | Kevin Hernandez-Diaz Fernando Alonso-Fernandez | Estimation of direction and distance to origin from blood splatter images | Open |
| Body posture alignment feedback using xAI | Cristofer Englund Fernando Alonso-Fernandez | Extracting the body alignment in different postures and giving feedback to reduce harm during physical exercise | Open |
| Building a Knowledge-based AI Framework for Mobility | Enayat Rajabi Sławomir Nowaczyk | Leveraging new knowledge to improve the productivity of mobility services | Open |
| Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models | Felix Rosberg Cristofer Englund | Use advanced LLMs to describe and interpret sensor data from autonomous vehicles. | Open |
| Clock Glitch Attacks on Embedded IoT Devices: An FPGA-Based Exploration | Mahdi Fazeli | this thesis aims to provide a comprehensive understanding of the vulnerabilities and potential countermeasures associated with clock glitch attacks on FPGA based IoT devices | Open |
| Coalition Interoperability in Multi-Domain Trust Frameworks | EDISON PIGNATON DE FREITAS | Develop and test mechanisms for trust interoperability across coalition forces using different trust frameworks, ensuring secure and effective collaboration in joint missions. Trust Framework Analysis | Open |
| Collaboration with Bankomat | Zahra Taghiyarrenani Parisa? Slawomir? Sepideh? | Explainable AI for Forecasting in Corporate Environments ( RQ: How to provide interpretable/explainable forecasts that align with business logic? | Open |
| Collaboration with Bankomat 2 | Zahra Taghiyarrenani TBD Adeel | Hybrid Models for Financial Forecasting Using LLMs and Time Series RQ: Can LLMs enhance traditional time-series models for forecasting financial KPIs? | Open |
| Collaboration with Bankomat 3 | Zahra Taghiyarrenani TBD | LLM Feedback Loops for Autonomous Knowledge Updating RQ: What mechanisms allow LLMs to autonomously refine their knowledge based on user feedback? | Open |
| Collaboration with Bankomat 4 | Zahra Taghiyarrenani TBD | Robustness of LLMs Against Prompt Injection Attacks RQ: What defense mechanisms can mitigate prompt injection vulnerabilities in enterprise LLM deployments? | Open |
| Collaboration with Bankomat 5 | Zahra Taghiyarrenani TBD | Forecasting with Sparse and Noisy Corporate Data RQ: What preprocessing techniques improve LLM performance on sparse transactional datasets? | Open |
| Comparative Study on Data Abstraction Methodologies for Interoperable V2X Roadside Units (RSU) | Elena Haller MittLogik | It is a collaboration with MittLogik on development of Interoperable RSU Prototype focused on Vulnerable Road User (VRU) safety. | Open |
| Comparative study of an automated testing coverage for a TCP/IP stack implementation | Wojciech Mostowski | The topic of the project is the comparative study of the coverage of the tests generated by the QuickCheck tool against real coverage requirements | Open |
| Concept Re-identification to Explain Online Continual Learning | Sepideh Pashami Nuwan Gunasekara | This project aims to apply techniques from recurrent concept drifts to explain the predictions of Online Continual Learning methods. | Open |
| Conditional GAN for better embedding and generation of medical codes | Kobra Etminani Amira Soliman Atiye Sadat Hashemi Stefan Byttner | Synthetic data generation of Electronic Health Records with a focus on medical codes | Open |
| ... further results | |||
Draft Proposals of Msc and Bsc Project (do not pick this unless you have checked with the supervisor!)
| Supervisors | OneLineSummary | Status | |
|---|---|---|---|
| Analysis of ocular image synthesis for cross-spectral recognition | Kevin Hernández-Diaz Josef Bigun Fernando Alonso-Fernandez | analyze the performance of generative model for image-to-image translation of ocular images between different spectrum | Draft |
| Browser Extensions Updates | Pablo Picazo | Clustering and analyzing browser extensions by update frequency | Draft |
| Explainable AI for predictive maintenance in collaboration with Volvo | Mahmoud Rahat Peyman Mashhadi | Developing explainable models for predicting components failures of Volvo trucks | Draft |
| High Precision Power Use Measurement Device for Raspberry PI | Wojciech Mostowski Per Sandrup Joel Nyholm | Design and build a device from measuring power draw of a Raspberry PI with high precision to power profile software. | Draft |
| Human Value Detection | Pablo Picazo | Given a textual argument and a human value category, classify whether or not the argument draws on that category. | Draft |
| Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment | Wojciech Mostowski Sławomir Nowaczyk | Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment | Draft |
| Image Retrieval for Arguments | Pablo Picazo | Given a controversial topic, the task is to retrieve images (from web pages) for each stance (pro/con) that show support for that stance. | Draft |
| Mobile App Vulnerable Road Users | Oscar Amador Molina Alexey Vinel | Design, development, and evaluation of a mobile app for the protection of Vulnerable Road Users in a test track | Draft |
| No Signal Left to Chance | Pablo Picazo | Identify download patterns as a useful signal for analyzing browser extensions. | Draft |
| Optimizing Energy Consumption in Maritime Transportation with Machine Learning Methods (in collaboration with Cetasol) | Hadi Fanaee Or Mohamed Abuella Sławomir Nowaczyk Yuantao Fan | Develop machine learning methods for forecasting fuel consumption, path, and motion planning, with historical data from furries operation. | Draft |
| Project with HMS | Peyman Mashhadi Yuantao Fan | Few-shot Learning for Quality Inspection | Draft |
| Reinforcement Learning applied in mobile health application for hypertion | Alexander Galozy Farzaneh Etminani Sławomir Nowaczyk | Design a Reinforcement Learning applied in mobile health application for improving medication adherence in hypertensive patients | Draft |
| Representation Learning for Fault Detection and Prognosis | Yuantao Fan | Characterise the observed system using representation learning techniques, for fault detection and remaining useful life prediction | Draft |
Older Proposals of Msc and Bsc Project
Those project proposals may still be valid, but contact supervisors before assuming so.
| Supervisors | OneLineSummary | |
|---|---|---|
| A study about the future and usability of Bio-electronic “smart” implants in humans | Taha Khan Stefan Nordlander | Feasibility study on bioimplants in humans. |
| ActNormal | Tony Larsson Stefan Byttner Cristofer Englund | Driving Behavior Model Identification |
| Agent and object detection and classification in a warehouse setting | Naveed Muhammad Björn Åstrand | Detection, and classification of different agents (manual driven forklift trucks, other robots, humans) and objects (such as pallets) in a warehouse environment |
| Air Surveillance for Airport Safety Using Autonomous Vehicles | Cristofer Englund Fernando Alonso-Fernandez | Air Surveillance for Airport Safety Using Autonomous Vehicles |
| Analyzing Human Motion using Inertial Sensors | Nicholas Wickström Siddhartha Khandelwal | Develop an algorithm that can detect walking events from accelerometers positioned at different parts of the body. |
| Anomaly Detection on Truck Histograms | Sepideh Pashami Peter Berck | Anomaly Detection on Truck Histograms |
| Anomaly ranking of District Heating Substations | Ece Calikus Sławomir Nowaczyk | Implementing anomaly ranking algorithm to monitor district heating substations. |
| Automatic Machine Learning (AUTO-AUTO-ENCODER!) | Sepideh Pashami Sławomir Nowaczyk | Automatic configuration algorithm for autoencoders |
| Barcode mapping in warehouses | Björn Åstrand Saeed Gholami Shahbandi | Using barcode detection and decoding for mapping the infrastructure and inventory of warehouses |
| Behaviour modeling and classification of vehicles at a roundabout | Naveed Muhammad Björn Åstrand | Modeling of behaviour, classification based on behaviour, and detection of anomalous behaviour in traffic at a roundabout. |
| Biases in electronic health records | Awais Ashfaq Sławomir Nowaczyk | To evaluate the impact of sample bias on the predictive value of machine learning models built using EHR data |
| Bowling: human motion quantification + ball quantification | Stefan Karlsson | Study visual parameters to quantify human and ball motion, aiming to be better bowling player |
| CACC | Tony Larsson Stefan Byttner Cristofer Englund | Traffic situation estimator for adaptive cruise control (ACC) |
| Comprehending low-dimensional manifolds of temporal data from the home | Eric Järpe Rebeen Hamad Jens Lundström | Study and development of tools and methods for the visualization of (temporal) human activity patterns. |
| Contactless monitoring of blood pressure using photoplethysmography | Taha Khan | A camera-based system for non-invasive monitoring of blood pressure |
| Convolutional Neural Network (CNN) features behaviour in the context of textures | Kevin Hernandez-Diaz Fernando Alonso-Fernandez. Josef Bigun | The project aims to quantify the behaviour of Convolutional Neural Network (CNN) features in the context of textures. |
| CoopSim | Stefan Byttner Cristofer Englund | Simulation of cooperative systems behavior in the presence of faults |
| Cross-Spectrum Ocular Identity Recognition via Deep Learning | Kevin Hernandez-Diaz Josef Bigun Fernando Alonso-Fernandez | Cross-Spectrum Ocular Identity Recognition via Deep Learning |
| Data Mining In a Warehouse Inventory | Björn Åstrand | A study of feature selection and distance measures for clustering big number of categories (>1000) and novelty detection in warehouse environment. |
| Data mining for fault diagnostics in cyberphysical systems | Stefan Byttner Thorsteinn Rögnvaldsson | Data mining for fault diagnostics in cyberphysical systems |
| Deep Recurrent Networks for Machine Prognostics | Sepideh Pashami Sławomir Nowaczyk Yuantao Fan | Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning |
| Deep learning and Back Order Solutions | Sławomir Nowaczyk | Deep learning and Back Order Solutions |
| Detecting Faults and Estimating Missing Values in Smart Meter Data | Hassan Mashad Nemati Sławomir Nowaczyk Anita Sant'Anna | Finding outliers and missing energy consumptions, and replace them with estimated values |
| Driver Prediction for Automative Industry | Stefan Karlsson Cristofer Englund | Investigate if and how it is possible to predict the drivers actions and inentions in a predefined limited number of scenarios |
| Dynamic Objects Detection and Tracking | Naveed Muhammad Björn Åstrand | Dynamic Objects Detection and Tracking in Warehouses, Using 3D Sensors. |
| Emergency vehicle movement prediction | Stefan Byttner Cristofer Englund | Emergency vehicle movement prediction |
| Exploring, modelling and optimization of home care regions | Wagner O. De Morais Jens Lundström | This project is about developing tools and methods for optimization of health care resources using machine learning as the central technology. |
| Human Motion Analysis using Inertial Sensors | Nicholas Wickström Siddhartha Khandelwal | Compare and evaluate accelerometer and gyroscopes for analyzing human motion in real-world applications. |
| Identity verification of humans performing physical activities | Nicholas Wickström Fernando Alonso-Fernandez Siddhartha Khandelwal | To verify the identity of an individual performing a particular activity with sensors placed at different parts of the body |
| Improving MEDication Adherence through Person Centered Care and Adaptive Interventions | Alexander Galozy Sławomir Nowaczyk | Improving MEDication Adherence through Person Centered Care and Adaptive Interventions |
| Intelligible patient representation for outcome prediction of congestive heart failure patients | Awais Ashfaq Sławomir Nowaczyk | Generating patient representation using EHR data |
| Machine Learning and LeadTime Prediction | Sławomir Nowaczyk | Machine Learning and LeadTime Prediction |
| Meta-learning for evaluation and implementation of predictive maintenance solution | Pablo del Moral Sławomir Nowaczyk | Finding the best strategy to schedule a predictive maintenance intervention optimizing the cost of unexpected breakdowns against unuseful visits to the workshop. |
| Mining For Meanings In Robot Maps | Björn Åstrand Saeed Gholami Shahbandi | To build a hybrid map by augmenting the intrinsic kinematic model of a mobile robot to a spatial map, and semi-supervised learning of meanings towards self/situation awareness. |
| Model behaviour of agents in a warehouse setting | Naveed Muhammad Björn Åstrand | Modelling the behaviour of agents (manual driven forklift trucks, other robots, humans etc.) in a warehouse environment |
| Modeling and Exploration of Self Rated Health Data using Machine Learning | Parivash Pirasteh Sławomir Nowaczyk Anita Sant'Anna | An analysis of self rated health data |
| Multi-robot coordination in a warehouse | Jennifer David Björn Åstrand | The project aims to coordinate motion of multiple robots to accomplish a single task |
| Multi-robot trajectory adaptation using a state-time elastic band approach | Jennifer David Roland Philippsen | For teams of robots moving through dynamic environments, deform planned trajectories in space and time such that they remain collision-free and reach the goal (if possible) or report failure if replanning is needed. |
| NOMAD | Stefan Byttner Thorsteinn Rögnvaldsson | Nonlinear methods for accurate deviation detection (NOMAD) |
| On control of robots in remote workspaces using lasers | Jennifer David Björn Åstrand | Supervised autonomy for controlling robots at remote locations. Lasers and ultrasonic ranging to be used. |
| On detecting deviations by autonomously discovering district heating control strategy used by buildings | Shiraz Farouq Sławomir Nowaczyk | autonomously detect control strategy and building type from district heating data |
| One dimensional frequency decomposition of oriented local images applied to fingerprints | Josef Bigun | Study and develop 1D continuous frequency fitting of a predetermined number of (oriented) sinusoids to images which are strongly oriented locally, in particular forensic fingerprints. |
| Pallet Detection and Mapping | Björn Åstrand Saeed Gholami Shahbandi | Pallet Detection and Mapping in a Warehouse Environment |
| Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring | Ece Calikus Sławomir Nowaczyk | Finding suitable peer groups to represent district heating and heat pump customers |
| Piglets Detection and Counting using Deep Neural Networks | Sepideh Pashami Peter Berck | Piglets Detection and Counting using Deep Neural Networks |
| Real-time Motion Analysis using Inertial Sensors | Nicholas Wickström Siddhartha Khandelwal | Develop a real-time (online) algorithm that can detect walking events from accelerometer signals. |
| Recognition of Human Intentions for Automated Cars | Sławomir Nowaczyk Cristofer Englund | Recognition of Human Intentions for Automated Cars |
| Recognition of logotypes and signs in photos | Josef Bigun | Recognizing man-made 2D objects such as logotypes in photos of human environments |
| Reinforcement learning for End-to-End autonomous driving | Alexey Voronov Cristofer Englund Nicholas Wickström | By using image data as input, and the vehicle steering and acceleration as output control signals, investigate how machine learning can control a vehicle. |
| Replacements vs repairs. What is really a breakdown from the point of view of the data? | Pablo del Moral Sławomir Nowaczyk | Finding ways to test how similar or different are the actions performed on a faulty machine. How does the effect of an intervention on the machine affect the data? |
| ... further results | ||
Ongoing Projects
| ThesisAuthor | OneLineSummary | Supervisors | |
|---|---|---|---|
| Analyzing white blood cells in blood samples using deep learning techniques | To analyze white blood cell content in blood samples using deep learning techniques. | Mattias Ohlsson | |
| Article Identification for Inventory List in a Warehouse Environment | Yang Gao | Article Identification for Inventory List in a Warehouse Environment | Björn Åstrand Saeed Gholami Shahbandi |
| Automatic Generation of Descriptive Features for Predicting Vehicle Faults | Vandan Revanur Ayodeji Olanrewaju Ayibiowu | Automatic Generation of Descriptive Features for Predicting Vehicle Faults | Mahmoud Rahat Reza Khosh |
| Chess playing humanoid robot by vision | Joseph T. Sachin | Chess playing humanoid robot by vision | Josef Bigun |
| Face and eye categorization and detection | Zhao Cui Albert Hoxha | To build a new database of face and eye images of different species and to evaluate holistic and local detection algorithms | Fernando Alonso-Fernandez |
| Forklift Trucks Usage Analysis | This project is about applying machine learning methods to have a better understanding for the usage of forklifts trucks in industrial application. | Alexander Galozy Kunru Chen | |
| Human identification by handwriting of identity text | Identify a hand writer when repeated identity relevant text is available | Josef Bigun Fernando Alonso-Fernandez | |
| Ice rink resurfacing system for selfdriving vehicles having spiral codes | ice rink resurfacing system for selfdriving vehicles having spiral codes | Josef Bigun | |
| Interactive Anomaly Detection | Anomalies can be relevant or irrelevant to the end-user. The goal of this thesis is to propose a new interactive anomaly detection method to leverage the user-feedback and learn to suggest more relevant anomalies. | Mohamed-Rafik Bouguelia Onur Dikmen | |
| Modelling Health Recommender System using Hybrid Techniques | The goal of this project is to develop a health recommender system using existing machine learning techniques. | Hassan Mashad Nemati Rebeen Hamad | |
| OpticalFlowFeaturesForEventDetection | Mohammad Afrooz Mehr Maziar Haghpanah | Stefan Karlsson | |
| Pallet Rack Identification in Warehouse | Anil Kumar Kothapalli | Development of an identification algorithm for Pallet Rack Cells in a warehouse. Data acquisition is performed by a mobile robot via fisheye cameras and/or 3D sensors. | Björn Åstrand Saeed Gholami Shahbandi |
| Robot Cooking | Chandrashekhar Shankarrao Nasurade Vamsi Krishna Nathani | Common sense for a robot to cook healthy food | Martin Cooney |
| Sensor fusion and machine learning for drone detection and classification | Sensor fusion and machine learning for drone detection and classification | Eren Erdal Aksoy Cristofer Englund Fernando Alonso-Fernandez | |
| Smart sensor | Can Yang | Small smart sensors | Martin Cooney Håkan Petterson |
| Social touch for robots | Prateek | something with social robots | Martin Cooney |
| Traffic Estimation From Vehicle Data | Sowmya Tamidala | Estimate traffic density based on logged vehicle data | Sławomir Nowaczyk Iulian Carpatorea |
Completed Msc and Bsc Project
| ThesisAuthor | OneLineSummary | Supervisors | |
|---|---|---|---|
| "TROLL": a regenerating robot | Yinrong Ma | A robot which can detect faults on itself and try to mark or fix them | Martin Cooney Anita Sant'Anna |
| Activity monitoring for AAL | Jianyuan Ma Yinan Qiu | Tracking of more than one person in a smart environment using fixed sensors and a mobile robot | Anita Sant'Anna |
| Adapt LoCoMotif to forklift data | LoCoMotif is a novel TSMD method able to discover motifs that have different lengths (variable-length motifs), exhibit slight temporal differences (time-warped motifs), and span multiple dimensions (multivariate motifs) | Kunru Chen ... | |
| Adaptive warning field system | Adaptive warning field system | Björn Åstrand | |
| Analysis of Multi-Lingual Vehicle Service Histories | Iyanuoluwa Akanbi | Automatic translation and similarity evaluation of multi-lingual natural text descriptions of vehicle repair and maintenance operations | Sepideh Pashami Sławomir Nowaczyk |
| Assistance-seeking strategy for a flying robot during a healthcare emergency response | Jérémy Heyne | Assistance-seeking strategy for a flying robot during a healthcare emergency response | Martin Cooney Anita Sant'Anna Yuantao Fan |
| Classifying heart diseases based on heart random numbers | Heart signal has entropy and can be used to generate random numbers. The idea is that, given a bunch of random numbers, we should predict if the source suffer from a desease | Pablo Picazo | |
| Collaborative Filtering Recommendation System Location Content-based | Analyze the content stored in Collaborative Filtering Recommendation System based on the location of the users | Pablo Picazo | |
| Consensus clustering for categorizing orthogonal vehicle operations | Dirar Sweidan | Discovering multiple clustering solutions, compare them, and find out if there is a single best (consensus) clustering, or multiple consistent clustering solutions. | Mohamed-Rafik Bouguelia Sławomir Nowaczyk |
| Constrained dynamic path planning for truck and trailer | Imanol Mugarza | Constrained dynamic path planning for truck and trailer | Jennifer David Sławomir Nowaczyk Iulian Carpatorea |
| Courteous robot guide for visitors to an intelligent home | Jiamiao Guo Yu Zhao | Courteous robot guide for visitors to an intelligent home | Martin Cooney Wagner de Morais |
| Detecting Points of Interest for Robotic First Aid | Wolfgang Hotze | Detecting Points of Interest for Robotic First Aid | Martin Cooney Anita Sant'Anna |
| Detection and intention prediction of pedestrians in zebra crossings | Dimitrios Varytimidis | Detection and intention prediction of pedestrians in zebra crossings | Boris Duran Cristofer Englund Fernando Alonso-Fernandez |
| Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment | Milosz Mazur | Evolutionary generating Behavior Trees for use in multi-agent task-oriented environment. | Sławomir Nowaczyk |
| Exploration and Mapping of Warehouse Using Quadrotor Helicopters | Maytheewat Aramtattana Yuantao Fan | Implementation of a navigation method for a flying robot (Quadrotor). The robot is assigned to explore and map the warehouse. | Björn Åstrand Saeed Gholami Shahbandi |
| F1tenth | F1tenth competition | Wojciech Mostowski Sławomir Nowaczyk Cristofer Englund | |
| Finding patterns/motifs in time series data | Felix Nilsson | Finding patterns/motifs in time series data, for autonomous clustering or outlier detection | Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson |
| FirstResponse | Gloria | First response to emergency situation in a smart environment using a mobile robot | Anita Sant'Anna |
| Fuzz testing of network protocols | Filip Kågesson | Investigation how fuzz testing of network protocols could be implemented and provide rapid robustness testing | Wojciech Mostowski |
| Graphical Traffic Scenario Editor | Iulian Carpatorea | Develop an interactive graphical application to draw vehicle paths and their surrounding environment, for rapid prototyping of traffic scenarios in intelligent vehicle research. | Roland Philippsen |
| Improved face tracking driven by optical flow | Andreas Ranftl | Face Tracking Using Optical Flow | Josef Bigun Stefan Karlsson Fernando Alonso-Fernandez |
| Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA | Alexander Galozy | Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA | Sławomir Nowaczyk Anita Sant'Anna |
| Integrating a new rigid-body dynamics model library with an existing whole-body controller | Anton Jerey Thomas Holleis Marlene Mohr | Integrating a new rigid-body dynamics model library with an existing whole-body controller | Roland Philippsen |
| Investigating Robustness of DNNs | Matej Uličný | This master thesis project aims at characterizing sensitivity to classification of images (based on deep neural networks). | Stefan Byttner Jens Lundström |
| Label and Barcode Detection and Location in Large Field of View | Guanjie Meng Shabnam Darman | Wide angle images are logged during a warehouse exploration. Design of a detection and localization method for barcodes (and/or labels) in the scope, based on such an acquisition is desired. | Björn Åstrand Saeed Gholami Shahbandi |
| Mixed-Reality Robot Platform | Norbert Gruenwald | Build foundations for our mixed-reality platform by integrating and demonstrating an extensible system with one or more robots, a simulator, some offboard sensors, and simple teleoperation. | Roland Philippsen |
| Mobile Social Robot for Healthcare | Matthias Mayr | Pilot study about a small interactive mobile robots for therapy and healthcare in homes. | Roland Philippsen Magnus Hållander |
| Model Volvo Truck Lifetime Repair History | Anton Palmqvist | Finding good representations for data-driven description of Volvo truck's repair and maintenance history | Sepideh Pashami Sławomir Nowaczyk |
| RAQUEL Robot Assisted QUiz Espying of Learners | Sanjana Arunesh Abhilash Padisiva | RAQUEL Robot Assisted QUiz Espying Learners | Martin Cooney Fernando Alonso Fernandez Josef Bigun |
| RaspberryPiVolvoLogger | Anestis Zaganidis | RaspberryPi-based solution for logging CAN data on Volvo trucks | Sławomir Nowaczyk Yuantao Fan |
| Recurrent and Deep Learning for Machine Prognostics | Kunru Chen | Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning | Sepideh Pashami Sławomir Nowaczyk Yuantao Fan |
| Robot Artwork | Daniel Westerlund Sowmya Narasimman | Capability for a robot to paint to express human feelings | Martin Cooney Maria Luiza Recena Menezes |
| Robotic First aid response | Tianyi Zhang and Yuwei Zhao | A robot system which assesses a person's state of health as a first step toward autonomous robotic first aid/ems | Martin Cooney Anita Sant'Anna |
| Sailboat Motion Planning using the Level-Set Method | Lin Ge Yifei Li | Explore the use of Level-Set and Fast-Marching Methods to create time-optimal motions of a point in a plane subject to direction-dependent velocity. | Roland Philippsen |
| Smart Home Simulation | Solved by internal/external resources | Developing and evaluation of a smart home simulator and outlier detection methods. | Sławomir Nowaczyk Jens Lundström Antanas Verikas |
| Supervised/Unsupervised Electricity Customer Classification | Soniya Ghorbani | Consumer characterization framework based on knowledge discovery in smart meter data | Hassan Mashad Nemati Sławomir Nowaczyk Anita Sant'Anna |
| Thermal Detection of Subtle Human Cues for a Robot Magic Performance | (NOT AVAILABLE) | Thermal Detection of Subtle Human Cues for a Robot Magic Performance (NOT AVAILABLE HT22/VT23) | Martin Cooney |
| Vehicle Operation Classification | Karthik Bangalore Girijeswara | Classify modes of operation of Volvo vehicles based on on-board data | Mohamed-Rafik Bouguelia Sławomir Nowaczyk Yuantao Fan |
| Visual analysis for infotainment in car interiors | Josef Bigun Maycel Isaac Faraj | Visual analysis to steer infotainment in car interiors | Maycel Isaac Faraj Josef Bigun Stefan Karlsson |
Internal Drafts
| OneLineSummary | ThesisAuthor | Supervisors | |
|---|---|---|---|
| A decision support system for reducing false alarms in ICU | Developing a clinical decision support system using machine learning and biomedical signal analysis techniques for an ICU setting. | Awais Ashfaq Sławomir Nowaczyk | |
| Acumen Robot Model Series | Build a series of increasingly sophisticated robot models in Acumen, to (1) explore mathematical formulations and (2) create tutorials and didactic examples. | Walid Taha Roland Philippsen | |
| Algorithm development for realtime route planning | Project at Sigma Technology | Thorsteinn Rögnvaldsson | |
| Analysing Engine Performance based on Vehicle Data | Estimate engine perfromance based on data logged on-board Volvo vehicles and using it for diagnostics, e.g. detection of cylinder heads in need of replacement | Magnus Svensson Sławomir Nowaczyk | |
| Anomaly Detection for Predictive Maintenance with Elvaco | Anomaly Detection for Predictive Maintenance with Elvaco | Mohamed-Rafik Bouguelia Yuantao Fan | |
| Anomaly detection in district heating data - with the Elvaco company | Project around predictive maintenance in district heating | Mohamed-Rafik Bouguelia Yuantao Fan | |
| Clustering of battery usage pattern for Electric buses | Clustering of battery usage pattern for Electric buses | Sepideh Pashami Yuantao Fan | |
| Convolutional Neural Network (CNN) responses when the number of classes increase | Convolutional Neural Network (CNN) features behaviour in the context of textures | Josef Bigun Fernando Alonso-Fernandez | |
| Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction | Design, implement, and evaluate a chatbot system capable of interacting with users and extracting pertinent information from data | Sławomir Nowaczyk Yuantao Fan | |
| Development of surveillance methods for sterilizers | Development of surveillance methods for sterilizers | Stefan Byttner Sławomir Nowaczyk Thorsteinn Rögnvaldsson | |
| Evaluation of Open Source Robot Simulators for Smart Mobility Applications | Can open source robot simulators serve as starting point for cloud services that support automotive R&D and V&V? | Christian Berger (Chalmers) Roland Philippsen Saeed Gholami Shahbandi | |
| Explainable Anomaly Detection | Explainable anomaly detection in time series data utilising causal inference | Afroj Divan; Athulya Ashok | Yuantao Fan |
| Gait analysis using wearable sensors in Parkinson's disease | The project aims to develop a machine learning tool for the assessment of Parkinsonian gait in a natural environment | Taha Khan | |
| Merging Clothoids with B-Splines | Develop an approach to create natural clothoidal lane-change maneuvers for automobiles on lanes that are specified using B-splines. | Roland Philippsen | |
| MultiScale Microscopy Detailed | Master Thesis Project | Amir Etbaeitabari Mekuria Eyayu | Josef Bigun Stefan Karlsson |
| Obstacle Identification from 3D Data for AGVs in a Warehouse Environment | Obstacle Identification from 3D Data for AGVs in a Warehouse Environment | Björn Åstrand Saeed Gholami Shahbandi | |
| Path Planning | Path and Motion Planning for a Ferry | Hadi Fanaee Or Mohamed Abuella Sławomir Nowaczyk Yuantao Fan | |
| Predicting Energy Consumption for Heavy-Duty Vehicles (in collaboration with Volvo) | Develop machine learning methods to forecast energy consumption for heavy-duty vehicles | Mahmoud Rahat Yuantao Fan | |
| Prototype Aligned Embedding for Time Series Forecasting | Generate prototype based explanation for time series forecasting | Parisa Jamshidi Nuwan Gunasekara Yuantao Fan | |
| Representation of Complex Data Types for Machine Learning | Finding ways to represent complex data types (e.g. histograms) present in Logged Vehicle Database databse for machine learning-based fault prediction | Sepideh Pashami Sławomir Nowaczyk | |
| Semantic Analysis of 2D Maps With a Metric-Topological Approach | Semantic Analysis of 2D Maps With a Metric-Topological Approach. | Björn Åstrand Saeed Gholami Shahbandi | |
| Simulating Crowds for Traffic Safety Research | Integrate crowd simulation into a mixed-reality platform for development and testing of advanced automotive safety systems. | Roland Philippsen | |
| Thesis with Jayway | Thesis with Jayway | TBD | |
| Thesis with Medius | Three thesis topics with Medius | TBD Please contact Slawomir Nowaczyk | |
| Time series anomaly detection for heavy-duty vehicles | Detecting anomalies in multivariate time series data collected from vehicle operations | Hamid Sarmadi Yuantao Fan |
Introduction lecture presenting the process and expectations on MSc project will take place on Monday, 14 October 2019 at 15:15.
The next opportunity for MSc presentations is on Monday, 23 September 2019 at 13:15 (contact Slawomir if you intend to make the presentation, so that we know how many to plan for). Also, make sure to send the supervisor-approved reports to the examiners a week before, so by 16 September 2019. After that we will have the final(!) opportunity sometime in late December/early January.
Final presentations should be 15 minutes long, and must cover the goals/objectives, final contribution/novelty, the results and conclusions from the work.
Final presentation is scheduled on Wednesday, 29 May 2019 [turns out Thursday is a holiday] (which means the examiners need to receive your reports by Thursday, 23 May 2019 at noon).
There will be a chance to re-do half-time presentations, for those who were not ready in March, around middle of May.
Half-time presentations should be 20 minutes long, and must cover the goals/objectives, expected contribution/novelty, results achieved so far, and a refined plan on how to proceed.
Topic selections are due on 27th of October 15:00 (use this GoogleForms link).
For students who started their MSc in 2018, the final opportunity to present their thesis will be on Friday, 13th of December 2019, at 16:00 (room F506). Deadline (strict!) for submitting reports is Wednesday, 11th of December, at noon.
Start report is due (approved by supervisors!) on 6th of December 23:59, and presentations will be done on 9th and 11th of December (you are expected to attend & listen both days).
You should prepare 10 minutes presentation, focusing on problem formulation, novelty & contribution, literature review and project plan.
