Student projects
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Revision as of 12:47, 7 March 2014 by 10.0.2.2 (talk) (Created page with "== Current Proposals of Msc and Bsc Project == {{#ask: Category:StudentProject |Draft [[Modification date::>1 September 2013]] | ?Superviso...")
Current 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 |
| ActNormal | Tony Larsson Stefan Byttner Cristofer Englund | Driving Behavior Model Identification | 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 |
| 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 |
| 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 |
| ... 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
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 |
