Student projects
Contents
Information about MSc Thesis process
The second opportunity for final presentations of MSc theses will be on Friday, 20 August 2021 (done online, on Zoom)... which means the examiners and opponent need to receive your supervisor-approved reports one week earlier -- use this Google form to send your report to examiners, and email it to the opponent.
Make sure to have at least two iterations of feedback on the report, so you should send the initial draft to your supervisors at the latest in the first week of August (take into account any vacation plans!). If you don't make it, the next opportunity will be in December/January.
Final presentations should be 15 minutes long and must cover the goals/objectives, final contribution/novelty, the results and conclusions from the work. It will be followed by 20-30 minutes of questions/discussion with the opponent (selected by the supervisor) and the examiners. Be advised that 15 minutes is very short, so you should carefully select what do you talk about, focusing on the most important aspects.
The next and final opportunity for half-time presentations will be in late August. Submit your reports on Google Form and email Slawomir to schedule the presentation.
This page contains some information about the MSc thesis project (courses DT7001 and DT7002).
MSc thesis project information (the LaTeX template can be found here)
MSc thesis Introductory lecture: slides and video recording
Current Proposals of Msc and Bsc Project
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(make sure to give your project a name before clicking the button!)
| Supervisors | OneLineSummary | Status | |
|---|---|---|---|
| Analysis of multi-machine/multi-sensor data | Hadi Fanaee-T (www.fanaee.com) Mahmoud Rahat |
Data mining on multi-machine/multi-sensor time series data | Open |
| Anomaly Detection of the Activities of the Elderly Living in the Smart Home | Abbas Orand Reza Khoshkangini |
In this project we detect the anomaly of the actives of the elderly people or those with some sorts of health problem. | 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 |
| 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 |
| 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 |
| Data Heterogeneity in Federated Learning | Amira Soliman Sławomir Nowaczyk |
Addressing the challenges of data imbalance in Federated Learning | Open |
| Data analysis in collaboration with WirelessCar | Mahmoud Rahat Peyman Mashhadi Sławomir Nowaczyk |
Data analysis in collaboration with WirelessCar | Open |
| Deep Graph Networks for Future Graph Prediction | Eren Erdal Aksoy | In this project, the candidate is supposed to implement a deep graph network that receives a set of graphs as input and returns the predicted next upcoming graph(s). | Open |
| Effecient implementation of DL models on embedded platforms | Nesma Rezk Yuantao Fan Sławomir Nowaczyk |
In this project, we optimize DL models to run efficiently on resource-bounded embedded platforms. | Open |
| Feature-wise normalization for 3D medical images | Amira Soliman Stefan Byttner Kobra Etminani |
Normalization of 3D medical imaging either as a data pre-processing or as feature-wise batch normalization during CNN model training | Open |
| Forecast energy consumption in buildings to help Mestro customers save energy | To be decided (contact Slawomir Nowaczyk for more details) | The thesis will be focused on forecasting the energy consumption in buildings (e.g. electricity consumption), with some optional “add-ons” where student will also develop... | Open |
| Gait analysis using wearable sensors in Parkinson's disease | Taha Khan | The project aims to develop a machine learning tool for the assessment of Parkinsonian gait in a natural environment | Open |
| Generative Approach for Multivariate Signals | Kunru Chen Tiago Cortinhal Thorsteinn Rögnvaldsson |
The topic focuses on generative models (GAN) for CAN-bus data and investigating the representation learning capabilities of such techniques | Open |
| Hide-and-Seek Privacy Challenge (NeurIPS 2020) | Onur Dikmen | Building novel methods for privacy-preserving data sharing and/or re-identification | Open |
| Indoor localization for ground vehicles | Cristofer Englund | Indoor localization for ground vehicles | Open |
| Intelligent claim Process with Volvia | To be decided (contact Slawomir Nowaczyk for more details) | Intelligent claim Process | Open |
| Model Heterogeneity in Federated Learning | Amira Soliman Sławomir Nowaczyk |
Group users within a federated learning environment into different learning overlays according to their behavioural similarities | Open |
| Multitask learning on vehicle data | Mahmoud Rahat Peyman Mashhadi |
Learning shared representation using multitask learning on a vehicle-related data | Open |
| Music style transfer | Peyman Mashhadi Yuantao Fan |
Develop a system that receives a piece of music in one genre and changes/transfers its style into another genre, using machine learning algorithms. | Open |
| Optimisation Algorithm for Feature enginnering | Reza Khoshkangini | In this project we intend to design an optimisation system using artificial intelligence algorithms in order to select/extract the best features for developing a forecasting system in predictive maintenance. | Open |
| Optimisation in Heavy Duty Vehicles Configuration | Reza Khoshkangini | In this project we aim to optimise the vehicles setting based on their usage style. Here we focus more on fuel consumption. | Open |
| Predicting the status of machines with vibration data | Hadi Fanaee-T (www.fanaee.com) Mahmoud Rahat |
Predicting the status of Alfa Laval's separator machines with vibration data | Open |
| Prioritize informative structures in 3D brain images | Amira Soliman Kobra Etminiani Stefan Byttner |
Identify informative regions in 3D brain images to improve classification accuracy of dementia disorders | Open |
| Project(s) at Volvo Cars Corporation | To be decided (contact Slawomir Nowaczyk for more details) | Thesis topics at Volvo Car Corporation | Open |
| Project(s) at Volvo Group | To be decided (contact Slawomir Nowaczyk for more details) | Thesis topics at Volvo Group | Open |
| Reinforcement Learning with Adaptive Representation Learning | Alexander Galozy Peyman Mashhadi |
This project targets finding representations that make the reinforcement learning more efficient in terms of finding an easier state to action mapping. | Open |
| Reinforcement learning in Automation | Reza Khoshkangini | In this project we plan to use reinforcement learning in multi-agent systems to improve decision making. in automated systems. | Open |
| Reversible GANs | Cristofer Englund Felix Rosberg |
Reversible GANs | Open |
| Risk as a Service with Volvia | To be decided (contact Slawomir Nowaczyk for more details) | Risk as a Service | Open |
| Sandboxed scripting on embedded systems | TBD Please contact Slawomir and Hans-Erik Eldemark |
Sandboxed scripting on embedded systems | Open |
| Security analysis of IIoT connectivity protocols | Mohamed Eldefrawy Yousra Alkabani |
Potential security vulnerabilities of IIoTs platform connectivity protocols, such as CoAP and MQTT will be studied. | Open |
| Situation awareness in traffic | Cristofer Englund Björn Åstrand |
Situation awareness in traffic | Open |
| Smart Alarm | Hadi Fanaee-T(www.fanaee.com) Mahmoud Rahat |
Data-driven alarm prediction using sensor data | Open |
| The CatFish project | To be decided (contact Slawomir Nowaczyk for more details) | The project within Innovation Lab called CatFish has the aim of collecting data from water bodies through a system of drones | Open |
| Transfer Learning by Selection of Invariant Features | Mohammed Ghaith Altarabichi Abdallah Alabdallah |
The project aims to develop novel methods to identify invariant features to transfer across multiple domains. | Open |
| Transfer Learning for Machine Diagnosis and Prognosis | Peyman Mashhadi Yuantao Fan Mohammed Ghaith Altarabichi |
Study and develop deep adversarial neural networks (DANN) based methods to detect faults and predict failures in industrial equipment, under transfer learning scenarios. | Open |
| Transfer Learning for Network Security | Sławomir Nowaczyk Zahra Taghiyarrenani |
Study of Transfer Learning techniques in Network Security applications- Network Traffic Classification and Intrusion Detection | Open |
| Vehicle Usage Modeling over Time | Reza Khoshkangini Abbas Orand |
This project intents to explore the modeling of the usage of vehicles using unsupervised machine learning algorithms in different context which are logged over time. | Open |
| Vehicular Network Graphical Interface | Marco Marinho | Build a graphical tool in python for plotting vehicular networks | Open |
| Zero-Shot Learning for Semantic Segmentation | Tiago Cortinhal Eren Erdal Aksoy |
Zero-Shot Learning for Semantic Segmentation | Open |
Draft Proposals of Msc and Bsc Project (do not pick this unless you have checked with the supervisor!)
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. |
| AI Enabled Service Market Logistics | Sławomir Nowaczyk Iulian Carpatorea Mahmoud Rahat |
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. |
| AI R&D at King | Sepideh Pashami | Reinforcement learning |
| ActNormal | Tony Larsson Stefan Byttner Cristofer Englund |
Driving Behavior Model Identification |
| Agent and object detection and classification in a warehouse setting | Björn Åstrand Naveed Muhammad |
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 | Siddhartha Khandelwal Nicholas Wickström |
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 detection based on seasonal daily pattern power consumption of buildings in district heating domain | Sławomir Nowaczyk Farzaneh Etminani Ece Calikus |
Detecting anomalous buildings according to how they consume power on a seasonal daily basis |
| 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!) | Sławomir Nowaczyk Sepideh Pashami |
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 | Björn Åstrand Naveed Muhammad |
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 | Jens Lundström Eric Järpe Rebeen Hamad |
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 | Josef Bigun Kevin Hernandez-Diaz Fernando Alonso-Fernandez. |
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 Fernando Alonso-Fernandez Josef Bigun |
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 | Thorsteinn Rögnvaldsson Stefan Byttner |
Data mining for fault diagnostics in cyberphysical systems |
| Deep Recurrent Networks for Machine Prognostics | Sławomir Nowaczyk Sepideh Pashami Yuantao Fan |
Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning |
| Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance | Mahmoud Rahat Sławomir Nowaczyk |
This project is about applying supervised/unsupervised methods of feature selection on Logged Vehicle data (LVD) from Volvo trucks and investigate the contribution in model construction for different predictive maintenance tasks |
| Deep learning and Back Order Solutions | Sławomir Nowaczyk | Deep learning and Back Order Solutions |
| Deep stacked ensemble | Sławomir Nowaczyk Peyman Mashhadi |
This project aims at training multiple parallel deep networks in such a way to learn different representation of data which will be suitable to frame these networks in stacked ensemble framework. |
| Detecting Faults and Estimating Missing Values in Smart Meter Data | Sławomir Nowaczyk Anita Sant'Anna Hassan Mashad Nemati |
Finding outliers and missing energy consumptions, and replace them with estimated values |
| Detecting changes in causal relations | Sepideh Pashami Sławomir Nowaczyk |
Monitoring the operation of bus fleet by tracking the changes in causal network |
| Detecting different types of machines based on usage | Sławomir Nowaczyk Pablo del Moral |
This project is about studying how can we distinguish among different types of machines based on their usage. |
| Detection of smart cars cyber attacks | Ana Magazinius (RISE Viktoria) Eric Järpe Cristofer Englund |
For treating the probem of cyber attacks against smart vehicles, new change-point detection and anomaly detection methods by means of statistics and machine learning are developed and evaluated. |
| Digit recognition by lip-movements and time recursive Neural Networks | Josef Bigun Kevin Hernandez-Diaz Fernando Alonso-Fernandez |
The project aims to recognize digits by lip movements and neural networks |
| 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 | Björn Åstrand Naveed Muhammad |
Dynamic Objects Detection and Tracking in Warehouses, Using 3D Sensors. |
| Electrical stimulator design and development | Abbas Orand & Eren Erdal Aksoy | Multi-pattern electrical stimulator design and development |
| Embedding DNN models on mobile robots for object detection | Mahmoud Rahat | The idea in this project is to employ transfer learning methods to teach a mobile robot to detect a handful of everyday objects in the real-world environment, and investigate the challenges and difficulties that are faced to this end |
| Embeded wearable sensors application at the HINT | Abbas Orand | Using wearable stretch sensors to recognize activities of a user at HINT |
| Emergency vehicle movement prediction | Cristofer Englund Stefan Byttner |
Emergency vehicle movement prediction |
| Estimating Architectural Properties of Buildings Based on Heating Data | Ece Calikus Sławomir Nowaczyk |
Heating operation is heavily dependent on the specifics of the installation, and understanding this relation is important for improving reliability and energy efficiency |
| Ethical hacking of car-cloud communication | Eric Järpe Cristofer Englund |
Designing and assessing attacks against a car-cloud network |
| 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 | Siddhartha Khandelwal Nicholas Wickström |
Compare and evaluate accelerometer and gyroscopes for analyzing human motion in real-world applications. |
| Identity verification of humans performing physical activities | Siddhartha Khandelwal Fernando Alonso-Fernandez Nicholas Wickström |
To verify the identity of an individual performing a particular activity with sensors placed at different parts of the body |
| Improved networks for cloud-car communication | Cristofer Englund Eric Järpe Ana Magazinius |
Development of new communication network for more efficient, reliable and diverse traffic flow and hence improved performance driving of cars. |
| Improving MEDication Adherence through Person Centered Care and Adaptive Interventions | Sławomir Nowaczyk Alexander Galozy |
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions |
| Intelligible patient representation for outcome prediction of congestive heart failure patients | Sławomir Nowaczyk Awais Ashfaq |
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 | Saeed Gholami Shahbandi Björn Åstrand |
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 | Björn Åstrand Naveed Muhammad |
Modelling the behaviour of agents (manual driven forklift trucks, other robots, humans etc.) in a warehouse environment |
| … 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. | Kunru Chen Alexander Galozy |
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| Human identification by handwriting of identity text | Identify a hand writer when repeated identity relevant text is available | Josef Bigun Fernando Alonso-Fernandez |
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| Ice rink resurfacing system for selfdriving vehicles having spiral codes | ice rink resurfacing system for selfdriving vehicles | 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 |
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| 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 |
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| 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 | Cristofer Englund Eren Erdal Aksoy Fernando Alonso-Fernandez |
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| 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 |
| 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 | Anita Sant'Anna Yuantao Fan Martin Cooney |
| 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 | Iulian Carpatorea Sławomir Nowaczyk Jennifer David |
| Courteous robot guide for visitors to an intelligent home | Jiamiao Guo Yu Zhao |
Courteous robot guide for visitors to an intelligent home | Wagner de Morais Martin Cooney |
| Detecting Points of Interest for Robotic First Aid | Wolfgang Hotze | Detecting Points of Interest for Robotic First Aid | Anita Sant'Anna Martin Cooney |
| Detection and intention prediction of pedestrians in zebra crossings | Dimitrios Varytimidis | Detection and intention prediction of pedestrians in zebra crossings | Fernando Alonso-Fernandez Cristofer Englund Boris Duran |
| 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 |
| FirstResponse | Gloria | First response to emergency situation in a smart environment using a mobile robot | Anita Sant'Anna |
| 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 | Stefan Karlsson Fernando Alonso-Fernandez Josef Bigun |
| 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). | Jens Lundström Stefan Byttner |
| 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 Clarin |
| Model Volvo Truck Lifetime Repair History | Anton Palmqvist | Finding good representations for data-driven description of Volvo truck's repair and maintenance history | Sławomir Nowaczyk Sepideh Pashami |
| RAQUEL Robot Assisted QUiz Espying of Learners | Sanjana Arunesh Abhilash Padisiva |
RAQUEL Robot Assisted QUiz Espying Learners | Josef Bigun Martin Cooney Fernando Alonso Fernandez |
| 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 | Sławomir Nowaczyk Sepideh Pashami 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. | Jens Lundström Antanas Verikas Sławomir Nowaczyk |
| Supervised/Unsupervised Electricity Customer Classification | Soniya Ghorbani | Consumer characterization framework based on knowledge discovery in smart meter data | Sławomir Nowaczyk Anita Sant'Anna Hassan Mashad Nemati |
| Vehicle Operation Classification | Karthik Bangalore Girijeswara | Classify modes of operation of Volvo vehicles based on on-board data | Sławomir Nowaczyk Yuantao Fan Mohamed-Rafik Bouguelia |
| Visual analysis for infotainment in car interiors | Josef Bigun Maycel Isaac Faraj |
Visual analysis to steer infotainment in car interiors | Josef Bigun Stefan Karlsson Maycel Isaac Faraj |
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. | Sławomir Nowaczyk Awais Ashfaq |
|
| 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. | Roland Philippsen Walid Taha |
|
| 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 | Sławomir Nowaczyk Magnus Svensson |
|
| Anomaly Detection for Predictive Maintenance with Elvaco | Anomaly Detection for Predictive Maintenance with Elvaco | Mohamed-Rafik Bouguelia Yuantao Fan |
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| 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 |
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| Development of surveillance methods for sterilizers | Development of surveillance methods for sterilizers | Thorsteinn Rögnvaldsson Sławomir Nowaczyk Stefan Byttner |
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| 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? | Roland Philippsen Saeed Gholami Shahbandi Christian Berger (Chalmers) |
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| 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 |
Stefan Karlsson Josef Bigun |
| 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 |
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| 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 | Sławomir Nowaczyk Sepideh Pashami |
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| 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 |
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| 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 |
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.
Half-time seminar will be on 19th of February (preliminary time: 9-15, depending on number of projects that are ready in time). This means you should send the reports to the examiners on the 18th of February before lunch (this form). 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. The final seminar will be at the end of May (reports due in the middle of May).
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.
The second chance for half-time presentations will be on Thursday, 12th of March (preliminary time: 13-16, depending on number of projects that are ready in time). This means you should send the reports to the examiners on the 11th of March before lunch (this form). The final seminar will be at the end of May (reports due in the middle of May).
Half-time presentations should be 20 minutes long (plus ~10 minutes for questions), and must cover the goals/objectives, expected contribution/novelty, results achieved so far, and a refined plan on how to proceed.
The final presentation is scheduled on Thursday, 28 May 2020 (which means the examiners and opponent need to receive your supervisor-approved reports by Thursday, 21 May 2020 at noon -- use this form to send your report to supervisors, and email it to the opponent).
Make sure to have at least two iterations of feedback on the report, so you should send the initial draft to your supervisors at latest in the first week of May. If you don't make it, the next opportunity will be at the end of August/beginning of September.
Final presentations should be 15 minutes long and must cover the goals/objectives, final contribution/novelty, the results and conclusions from the work. It will be followed by 15 minutes of questions/discussion with the opponent (selected by the supervisor) and the examiners. Be advised that 15 minutes is very short, so you should carefully select what do you talk about, focusing on the most important aspects.
The second opportunity for final presentations will be on Thursday, 3 September 2020 (done online, on Zoom)... which means the examiners and opponent need to receive your supervisor-approved reports by Friday, 28 August 2020 at noon -- use this Google form to send your report to examiners, and email it to the opponent.
Make sure to have at least two iterations of feedback on the report, so you should send the initial draft to your supervisors at latest in the first week of August (take into account any vacation plans!). If you don't make it, the next opportunity will be in December/January.
Introduction lecture presenting the process and expectations on MSc project will take place on Thursday, 15 October 2020 at 10:00 (sharp) through Zoom. The link should be available in your schedules.
Topic selection: provide a ranking of three preferred topics by Wednesday, 28th of October, 18:00 using this GoogleForm
A start report is due (approved by supervisors!) on 10th of December 23:59 (using this link).
Schedule for presentations in week 51 (you are expected to attend & listen to all) is available here (please observe some changes are still expected, mainly based on supervisors' availability, so please check it regularly).
You should prepare 10 minutes presentation, focusing on problem formulation, novelty & contribution, literature review and project plan.
Presentations Zoom link
The next deadline for start reports, for those who didn't make it this time, is 15th of January 23:59 (using this link).
For those who were not ready with halftime reports in March, there will be another opportunity on Wednesday, 12 May 2021 (the deadline for submitting reports is 9th of May, same Google Form)
Half-time presentations should be 20 minutes long (plus ~10 minutes for questions) and must precisely specify the goals/objectives, clearly explain the expected contribution/novelty, showcase the results achieved so far, and present a refined plan on how to proceed further.
The final seminar will be in about two weeks, preliminarily on 2nd, 3rd and/or 4th of June, depending on the number of projects that are ready (reports due on 25th of May at 12:00 noon, using this form).
