Student projects

From ISLAB/CAISR

Information about MSc Thesis process

The next opportunity for MSc presentations will be on Tuesday, 10 September 2019 at 13:15 (contact Slawomir if you intend to make the presentation, so that we know how many to plan for). Also, make sure to send the supervisor-approved reports to the examiners a week before, so by 3 September 2019.

Final presentations should be 15 minutes long, and must cover the goals/objectives, final contribution/novelty, the results and conclusions from the work.

MSc thesis project information

MSc thesis lecture

Current Proposals of Msc and Bsc Project

  Supervisors OneLineSummary Status
Automatic Generation of Descriptive Features for Predicting Vehicle Faults Sepideh Pashami
Sławomir Nowaczyk
Automatic Generation of Descriptive Features for Predicting Vehicle Faults 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
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 Open
Object Detection for Autonomous Vehicles Eren Erdal Aksoy Implementing a single-stage deep network to detect vehicles in the segmented 3D LiDAR point cloud Open
Representation Learning for Deviation Detection Sławomir Nowaczyk
Yuantao Fan
Optimise Echo State Networks for time series forecasting and reconstruction. Propose methods, e.g. objective functions, to train Echo State Networks for deviation detection Open

Information about writing a thesis can be found at http://hh.se/english/schoolofinformationtechnology/education/studentinformation/thesisinformation.2136_en.html

Older Proposals of Msc and Bsc Project

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

  Supervisors OneLineSummary
A study about the future and usability of Bio-electronic “smart” implants in humans Taha Khan
Stefan Nordlander
Feasibility study on bioimplants in humans.
ActNormal Tony Larsson
Stefan Byttner
Cristofer Englund
Driving Behavior Model Identification
Agent and object detection and classification in a warehouse setting 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 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 learning and Back Order Solutions Sławomir Nowaczyk Deep learning and Back Order Solutions
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
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.
Emergency vehicle movement prediction Cristofer Englund
Stefan Byttner
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 Siddhartha Khandelwal
Nicholas Wickström
Compare and evaluate accelerometer and gyroscopes for analyzing human motion in real-world applications.
Human identification by handwriting of identity text Josef Bigun
Fernando Alonso-Fernandez
Identify a hand writer when repeated identity relevant text is available
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
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
Labeling by spiral codes for invariant recognition of garbage bags Josef Bigun Labeling by spiral codes for invariant recognition of garbage bags
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
Modeling and Exploration of Self Rated Health Data using Machine Learning Sławomir Nowaczyk
Anita Sant'Anna
Parivash Pirasteh
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 Roland Philippsen
Jennifer David
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 Thorsteinn Rögnvaldsson
Stefan Byttner
Nonlinear methods for accurate deviation detection (NOMAD)
On control of robots in remote workspaces using lasers Björn Åstrand
Jennifer David
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 Peter Berck
Sepideh Pashami
Piglets Detection and Counting using Deep Neural Networks
Protecting bikers in traffic by computer vision Josef Bigun Protecting bikers in traffic by computer vision
Real-time Motion Analysis using Inertial Sensors Siddhartha Khandelwal
Nicholas Wickström
Develop a real-time (online) algorithm that can detect walking events from accelerometer signals.
… further results

Ongoing Projects

  ThesisAuthor OneLineSummary Supervisors
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
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
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
Smart sensor Can Yang Small smart sensors Martin Cooney
Håkan Petterson
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
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 Thorsteinn Rögnvaldsson
Sławomir Nowaczyk
Stefan Byttner
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 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
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. 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

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.