Student projects

Information about MSc Thesis process

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.

Half-time seminar will be beginning/middle of March, and final seminar will be at end of May (reports due middle of May).

MSc thesis project information

MSc thesis Introductory lecture

MSc thesis Course Description

MSc thesis Grading Criteria

DT7001 course syllabus

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).