Student projects
From ISLAB/CAISR
Jump to navigationJump to searchCurrent Proposals of Msc and Bsc Project
| Supervisors | OneLineSummary | Status | |
|---|---|---|---|
| A Meta-Learning Approach for Preserving and Transferring Beneficial Behaviors in Asynchronous Multi-Agent Reinforcement Learning | Alexander Galozy | Develop a meta-learning system that preserves beneficial behaviors discovered by individual agents and adapts them for transfer across a population in asynchronous reinforcement learning. | Open |
| A Reliable IoT Messaging Protocol Based on MQTT Standard | Mahdi Fazeli | In this project, we will modify the well-known IoT protocol, i.e., MQTT to consider a topic-based reliability strategy between the broker and subscribers. | Open |
| 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 |
| 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 |
| 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 | Open |
| Air Surveillance for Airport Safety Using Autonomous Vehicles | Cristofer Englund Fernando Alonso-Fernandez | Air Surveillance for Airport Safety Using Autonomous Vehicles | Open |
| Analysing comments (NLP) for Malware Analysis | Pablo Picazo-Sanchez | Analysing the comments of users in the WebStore to look for malware patterns | Open |
| Analysis of industrial time series | Hadi Fanaee | studying the recent advances in time series forecasting and their application in modelling time series of Alfa Laval's industrial machines | Open |
| Analysis of multi-machine/multi-sensor data | Mahmoud Rahat Hadi Fanaee-T (www.fanaee.com) | Data mining on multi-machine/multi-sensor time series data | Open |
| Analysis of ocular image synthesis for cross-spectral recognition | Kevin Hernández-Diaz Josef Bigun Fernando Alonso-Fernandez | analyze the performance of generative model for image-to-image translation of ocular images between different spectrum | Draft |
| Analyzing Gender Bias in Pose Estimation Models | Kevin Hernandez Diaz | We will analyze the gender bias of current pose estimation models when trained with unbalanced gender data | Open |
| Analyzing 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. | 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 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 | 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 |
| Anomaly ranking of District Heating Substations | Ece Calikus Sławomir Nowaczyk | Implementing anomaly ranking algorithm to monitor district heating substations. | 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 |
| Automatic Machine Learning (AUTO-AUTO-ENCODER!) | Sepideh Pashami Sławomir Nowaczyk | Automatic configuration algorithm for autoencoders | 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 |
| Barcode mapping in warehouses | Björn Åstrand Saeed Gholami Shahbandi | Using barcode detection and decoding for mapping the infrastructure and inventory of warehouses | 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 |
| 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. | 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 |
| Blockchain for polls and elections | To be decided (contact Slawomir Nowaczyk for more details) | Today, there is no blockchain solution that meets the requirements for polls/elections; therefore, we would like to develop our own | Open |
| Blockchain-Assisted Data Integrity in Eventually Consistent IoBT Systems | Edison Pignaton de Freitas | Build a lightweight blockchain or distributed ledger tailored for IoBT that ensures post-partition reconciliation and prevents data tampering. | Open |
| Blood splatter analysis | Kevin Hernandez-Diaz Fernando Alonso-Fernandez | Estimation of direction and distance to origin from blood splatter images | Open |
| Body posture alignment feedback using xAI | Cristofer Englund Fernando Alonso-Fernandez | Extracting the body alignment in different postures and giving feedback to reduce harm during physical exercise | Open |
| Browser Extensions Updates | Pablo Picazo | Clustering and analyzing browser extensions by update frequency | Draft |
| Building a Knowledge-based AI Framework for Mobility | Enayat Rajabi Sławomir Nowaczyk | Leveraging new knowledge to improve the productivity of mobility services | Open |
| ... 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.
| Supervisors | OneLineSummary | |
|---|---|---|
| ActNormal | Tony Larsson Stefan Byttner Cristofer Englund | Driving Behavior Model Identification |
| 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) |
| CoopSim | Stefan Byttner Cristofer Englund | Simulation of cooperative systems behavior in the presence of faults |
| Data mining for fault diagnostics in cyberphysical systems | Stefan Byttner Thorsteinn Rögnvaldsson | Data mining for fault diagnostics in cyberphysical systems |
| 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 |
| NOMAD | Stefan Byttner Thorsteinn Rögnvaldsson | Nonlinear methods for accurate deviation detection (NOMAD) |
| Recognition of logotypes and signs in photos | Josef Bigun | Recognizing man-made 2D objects such as logotypes in photos of human environments |
| Segmentation of shoeprints | Josef Bigun Anna Mikaelyan | Finding boundaries of homogeneous regions in shoeprint images |
Ongoing Projects
Completed Msc and Bsc Project
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. | Awais Ashfaq Sławomir Nowaczyk | |
| 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. | Walid Taha Roland Philippsen | |
| Algorithm development for realtime route planning | Algorithm development for realtime route planning | Project at Sigma Technology | Thorsteinn Rögnvaldsson | |
| 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 | Magnus Svensson Sławomir Nowaczyk | |
| 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 | |
| Anomaly detection in district heating data - with the Elvaco company | 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 | 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) 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 | 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 | Development of surveillance methods for sterilizers | Stefan Byttner Sławomir Nowaczyk Thorsteinn Rögnvaldsson | |
| 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? | Christian Berger (Chalmers) Roland Philippsen Saeed Gholami Shahbandi | |
| Explainable Anomaly Detection | 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 | 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 | 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 | 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 | Obstacle Identification from 3D Data for AGVs in a Warehouse Environment | Björn Åstrand Saeed Gholami Shahbandi | |
| Path Planning | 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) | 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 | 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 | 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 | 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 | |
| Thesis with Jayway | Thesis with Jayway | Thesis with Jayway | TBD | |
| Thesis with Medius | Thesis with Medius | Three thesis topics with Medius | TBD Please contact Slawomir Nowaczyk | |
| Time series anomaly detection for heavy-duty vehicles | Time series anomaly detection for heavy-duty vehicles | Detecting anomalies in multivariate time series data collected from vehicle operations | Hamid Sarmadi Yuantao Fan |
