Student projects
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The next opportunity for MSc presentations will be on Tuesday, 10 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 3 September 2019.
Final presentations should be 15 minutes long, and must cover the goals/objectives, final contribution/novelty, the results and conclusions from the work.
MSc thesis project information
Current Proposals of Msc and Bsc Project
| 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 |
| 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 |
| 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 |
| Browser Extensions Updates | Pablo Picazo | Clustering and analyzing browser extensions by update frequency | Draft |
| 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 |
| ... further results | |||
Information about writing a thesis can be found at http://hh.se/english/schoolofinformationtechnology/education/studentinformation/thesisinformation.2136_en.html
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 |
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.
