Student projects

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Current Proposals of Msc and Bsc Project

  Supervisors OneLineSummary Status
A study about the future and usability of Bio-electronic “smart” implants in humans Taha Khan
Stefan Nordlander
Feasibility study on bioimplants in humans. Open
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. Open
AI R&D at King Sepideh Pashami Reinforcement learning Open
ActNormal Tony Larsson
Stefan Byttner
Cristofer Englund
Driving Behavior Model Identification Open
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 Open
Air Surveillance for Airport Safety Using Autonomous Vehicles Cristofer Englund
Fernando Alonso-Fernandez
Air Surveillance for Airport Safety Using Autonomous Vehicles Open
Algorithm development for realtime route planning Thorsteinn Rögnvaldsson Project at Sigma Technology Draft
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
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 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. 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
Anomaly Detection on Truck Histograms Sepideh Pashami
Peter Berck
Anomaly Detection on Truck Histograms Open
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 Open
Anomaly detection in district heating data - with the Elvaco company Yuantao Fan
Mohamed-Rafik Bouguelia
Project around predictive maintenance in district heating Draft
Anomaly ranking of District Heating Substations Ece Calikus
Sławomir Nowaczyk
Implementing anomaly ranking algorithm to monitor district heating substations. 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 Machine Learning (AUTO-AUTO-ENCODER!) Sławomir Nowaczyk
Sepideh Pashami
Automatic configuration algorithm for autoencoders Open
BD prediction Stefan Byttner
Cristofer Englund
Big data approach to predictive maintenance Draft
Barcode mapping in warehouses Björn Åstrand
Saeed Gholami Shahbandi
Using barcode detection and decoding for mapping the infrastructure and inventory of warehouses Open
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. 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
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 Open
Bowling: human motion quantification + ball quantification Stefan Karlsson Study visual parameters to quantify human and ball motion, aiming to be better bowling player Open
CACC Tony Larsson
Stefan Byttner
Cristofer Englund
Traffic situation estimator for adaptive cruise control (ACC) Open
Clustering of battery usage pattern for Electric buses Sepideh Pashami
Yuantao Fan
Clustering of battery usage pattern for Electric buses Draft
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
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. Open
Contactless monitoring of blood pressure using photoplethysmography Taha Khan A camera-based system for non-invasive monitoring of blood pressure Open
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. Open
CoopSim Stefan Byttner
Cristofer Englund
Simulation of cooperative systems behavior in the presence of faults Open
Cross-Spectrum Ocular Identity Recognition via Deep Learning Kevin Hernandez-Diaz
Fernando Alonso-Fernandez
Josef Bigun
Cross-Spectrum Ocular Identity Recognition via Deep Learning Open
Data Heterogeneity in Federated Learning Amira Soliman
Sławomir Nowaczyk
Addressing the challenges of data imbalance in Federated Learning Open
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. Open
Data analysis in collaboration with WirelessCar Mahmoud Rahat
Peyman Mashhadi
Sławomir Nowaczyk
Data analysis in collaboration with WirelessCar Open
Data mining for fault diagnostics in cyberphysical systems Thorsteinn Rögnvaldsson
Stefan Byttner
Data mining for fault diagnostics in cyberphysical systems 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
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 Open
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 Open
Deep learning and Back Order Solutions Sławomir Nowaczyk Deep learning and Back Order Solutions Open
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. Open
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 Open
Detecting changes in causal relations Sepideh Pashami
Sławomir Nowaczyk
Monitoring the operation of bus fleet by tracking the changes in causal network Open
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. Open
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. Open
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 Open
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 Open
Dynamic Objects Detection and Tracking Björn Åstrand
Naveed Muhammad
Dynamic Objects Detection and Tracking in Warehouses, Using 3D Sensors. 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
Electrical stimulator design and development Abbas Orand & Eren Erdal Aksoy Multi-pattern electrical stimulator design and development Open
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 Open
… further results

Information about writing a thesis can be found at Writing Student Project page.

Older Proposals of Msc and Bsc Project

Those project proposals may still be valid, but contact supervisors before assuming so.


Ongoing Projects

  Title ThesisAuthor Supervisors
Analyzing white blood cells in blood samples using deep learning techniques Analyzing white blood cells in blood samples using deep learning techniques Mattias Ohlsson
Article Identification for Inventory List in a Warehouse Environment Article Identification for Inventory List in a Warehouse Environment Yang Gao Björn Åstrand
Saeed Gholami Shahbandi
Automatic Generation of Descriptive Features for Predicting Vehicle Faults Automatic Generation of Descriptive Features for Predicting Vehicle Faults Vandan Revanur
Ayodeji Olanrewaju Ayibiowu
Mahmoud Rahat
Reza Khosh
Chess playing humanoid robot by vision Chess playing humanoid robot by vision Joseph T. Sachin Josef Bigun
Face and eye categorization and detection Face and eye categorization and detection Zhao Cui
Albert Hoxha
Fernando Alonso-Fernandez
Forklift Trucks Usage Analysis Forklift Trucks Usage Analysis Kunru Chen
Alexander Galozy
Human identification by handwriting of identity text Human identification by handwriting of identity text 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 Interactive Anomaly Detection Mohamed-Rafik Bouguelia
Onur Dikmen
Modelling Health Recommender System using Hybrid Techniques Modelling Health Recommender System using Hybrid Techniques Hassan Mashad Nemati
Rebeen Hamad
OpticalFlowFeaturesForEventDetection OpticalFlowFeaturesForEventDetection Mohammad Afrooz Mehr
Maziar Haghpanah
Stefan Karlsson
Pallet Rack Identification in Warehouse Pallet Rack Identification in Warehouse Anil Kumar Kothapalli Björn Åstrand
Saeed Gholami Shahbandi
Robot Cooking Robot Cooking Chandrashekhar Shankarrao Nasurade
Vamsi Krishna Nathani
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
Smart sensor Social robot assistant Can Yang Martin Cooney
Håkan Petterson
Social touch for robots Social touch for robots Prateek Martin Cooney
Traffic Estimation From Vehicle Data Traffic Estimation From Vehicle Data Sowmya Tamidala Sławomir Nowaczyk
Iulian Carpatorea

Completed Msc and Bsc Project

  Title ThesisAuthor Supervisors
"TROLL": a regenerating robot "TROLL": a regenerating robot Yinrong Ma Martin Cooney
Anita Sant'Anna
Activity monitoring for AAL Activity monitoring for AAL Jianyuan Ma
Yinan Qiu
Anita Sant'Anna
Adaptive warning field system Adaptive warning field system Björn Åstrand
Analysis of Multi-Lingual Vehicle Service Histories Analysis of Multi-Lingual Vehicle Service Histories Iyanuoluwa Akanbi Sepideh Pashami
Sławomir Nowaczyk
Assistance-seeking strategy for a flying robot during a healthcare emergency response Assistance-seeking strategy for a flying robot during a healthcare emergency response Jérémy Heyne Anita Sant'Anna
Yuantao Fan
Martin Cooney
Consensus clustering for categorizing orthogonal vehicle operations Consensus clustering for categorizing orthogonal vehicle operations Dirar Sweidan Mohamed-Rafik Bouguelia
Sławomir Nowaczyk
Constrained dynamic path planning for truck and trailer Constrained dynamic path planning for truck and trailer Imanol Mugarza Iulian Carpatorea
Sławomir Nowaczyk
Jennifer David
Courteous robot guide for visitors to an intelligent home Courteous robot guide for visitors to an intelligent home Jiamiao Guo
Yu Zhao
Wagner de Morais
Martin Cooney
Detecting Points of Interest for Robotic First Aid Detecting Points of Interest for Robotic First Aid Wolfgang Hotze Anita Sant'Anna
Martin Cooney
Detection and intention prediction of pedestrians in zebra crossings Detection and intention prediction of pedestrians in zebra crossings Dimitrios Varytimidis Fernando Alonso-Fernandez
Cristofer Englund
Boris Duran
Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment Milosz Mazur Sławomir Nowaczyk
Exploration and Mapping of Warehouse Using Quadrotor Helicopters Exploration and Mapping of Warehouse Using Quadrotor Helicopters Maytheewat Aramtattana
Yuantao Fan
Björn Åstrand
Saeed Gholami Shahbandi
FirstResponse FirstResponse Gloria Anita Sant'Anna
Graphical Traffic Scenario Editor Graphical Traffic Scenario Editor Iulian Carpatorea Roland Philippsen
Improved face tracking driven by optical flow Improved face tracking driven by optical flow Andreas Ranftl Stefan Karlsson
Fernando Alonso-Fernandez
Josef Bigun
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA Alexander Galozy Sławomir Nowaczyk
Anita Sant'Anna
Integrating a new rigid-body dynamics model library with an existing whole-body controller Integrating a new rigid-body dynamics model library with an existing whole-body controller Anton Jerey
Thomas Holleis
Marlene Mohr
Roland Philippsen
Investigating Robustness of DNNs Investigating Robustness of DNNs Matej Uličný Jens Lundström
Stefan Byttner
Label and Barcode Detection and Location in Large Field of View Label and Barcode Detection and Location in Large Field of View Guanjie Meng
Shabnam Darman
Björn Åstrand
Saeed Gholami Shahbandi
Mixed-Reality Robot Platform Mixed-Reality Robot Platform Norbert Gruenwald Roland Philippsen
Mobile Social Robot for Healthcare Mobile Social Robot for Healthcare Matthias Mayr Roland Philippsen
Magnus Clarin
Model Volvo Truck Lifetime Repair History Model Volvo Truck Lifetime Repair History Anton Palmqvist Sławomir Nowaczyk
Sepideh Pashami
RAQUEL Robot Assisted QUiz Espying of Learners RAQUEL Robot Assisted QUiz Espying of Learners Sanjana Arunesh
Abhilash Padisiva
Josef Bigun
Martin Cooney
Fernando Alonso Fernandez
RaspberryPiVolvoLogger RaspberryPiVolvoLogger Anestis Zaganidis Sławomir Nowaczyk
Yuantao Fan
Recurrent and Deep Learning for Machine Prognostics Recurrent and Deep Learning for Machine Prognostics Kunru Chen Sławomir Nowaczyk
Sepideh Pashami
Yuantao Fan
Robot Artwork Robot Artwork Daniel Westerlund
Sowmya Narasimman
Martin Cooney
Maria Luiza Recena Menezes
Robotic First aid response Robotic First aid response Tianyi Zhang and Yuwei Zhao Martin Cooney
Anita Sant'Anna
Sailboat Motion Planning using the Level-Set Method Sailboat Motion Planning using the Level-Set Method Lin Ge
Yifei Li
Roland Philippsen
Smart Home Simulation Smart Home Simulation Solved by internal/external resources Jens Lundström
Antanas Verikas
Sławomir Nowaczyk
Supervised/Unsupervised Electricity Customer Classification Supervised/Unsupervised Electricity Customer Classification Soniya Ghorbani Sławomir Nowaczyk
Anita Sant'Anna
Hassan Mashad Nemati
Vehicle Operation Classification Vehicle Operation Classification Karthik Bangalore Girijeswara Sławomir Nowaczyk
Yuantao Fan
Mohamed-Rafik Bouguelia
Visual analysis for infotainment in car interiors Visual analysis for infotainment in car interiors Josef Bigun
Maycel Isaac Faraj
Josef Bigun
Stefan Karlsson
Maycel Isaac Faraj

Internal Drafts

  Title OneLineSummary ThesisAuthor Supervisors
A decision support system for reducing false alarms in ICU 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 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 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 Anomaly Detection for Predictive Maintenance with Elvaco Mohamed-Rafik Bouguelia
Yuantao Fan
Convolutional Neural Network (CNN) responses when the number of classes increase 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
Development of surveillance methods for sterilizers Development of surveillance methods for sterilizers Development of surveillance methods for sterilizers Thorsteinn Rögnvaldsson
Sławomir Nowaczyk
Stefan Byttner
Evaluation of Open Source Robot Simulators for Smart Mobility Applications 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)
Merging Clothoids with B-Splines 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 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 Obstacle Identification from 3D Data for AGVs in a Warehouse Environment Björn Åstrand
Saeed Gholami Shahbandi
Representation of Complex Data Types for Machine Learning 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
Semantic Analysis of 2D Maps With a Metric-Topological Approach 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 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