The final semester of the EDISS programme is dedicated to the Master’s thesis, jointly supervised by personnel from both universities the student has studied in. The thesis is usually written in a research and development project either in industry or in academia.
Master´s thesis from Mälardalen University
EDISS INTAKE 1 – 2021-2023
- Explainable AI for Multi-Agent Control Problem, Prokopova Hanna
- Design and Evaluation of Visualizations for API Testing in Mobile Networks,
Afzali, Seyed Mahmoodreza - Automated annotation scheme for extending bounding box representation to detect ship locations, Havryliuk Oksana
- Creation of an Operational Design Document for the Autonomous Shipping Industry, Huseynzade Samir
- Automatic Performance Testing of Maritime Simulation Models, Malik Shaheryar
- Evaluating Performance of Generative Models for Time Series Synthesis, Haris Muhammad Junaid
- Predictive Maintenance of Centrifugal Pumps Using Reinforcement Learning, Nidadavolu Poonam
- A Comparative Analysis of NLP Algorithms for Implementing AI Conversational Assistants: Comparative Analysis of NLP Algorithms for NLI, Upreti Aanchal
EDISS INTAKE 2 – 2022-2024
- Exploring The Use Of LLMs In Agile Technical Documentation Writing, Birru Henok
- Machine Learning-Based Prediction Model for Enhancing Passenger and Freight Train Arrival Time Forecasting In Railway Systems, Pichardo Vicencio Juan Carlos
- Predicting Future Demand : ML Methods For Demand Forecasting, Mamadbekov Faridun
- Enhancing Real-Time Application Performance by Predicting Congestion in Data Transport Networks Using Machine Learning, Abid Husnul
- Spatio-temporal analysis of large scale AIS Data, Waseem Saad
- Exploring Audio Guided 3D Face Animation For Realtime Applications, Shaher Yar Muhammad
- Towards Contextually Aware Large Language Models for Software Requirements Engineering: A Retrieval Augmented Generation Framework, Ibtasham Md Saleh
Master´s thesis from University of L’Aquila
EDISS INTAKE 1 – 2021-2023
- A Flexible and Efficient Approach for Key Information Extraction, Kuanyshkereyev, Farkhad
- Exploration and Pre-selection of Images for Downstream Tasks : Leveraging Embeddings and Anomaly Detection in the Manufacturing Process, Dahal Ashish
- Efficient Data Management and Orchestration Across Diverse Data Streams in 5G Networks with Incorporation of Unique Encryption Solution, Koishybayeva Moldir
- Human Movement Recognition using Deep Learning on Visualized CSI Wi-Fi data, Butyrskaya Daria
EDISS INTAKE 2 – 2022-2024
- Advanced Machine Learning Techniques for Analyzing and Modeling Human Computer Interaction in Kongsberg Maritime’s Remote Operation Center, Adhikari Kabita
- Paraphrasing User Stories with Large Language Models, Azimov Sherkhan
- Unsupervised Learning for Analyzing Ship Voyage Patterns from AIS Data for Sustainable Navigation in Northern European Waters, Bhattacharya Debayan
- Mitigating Catastrophic Forgetting in Task-Incremental Learning for Large Language Models, Shakya Mudita
- FairWatt : An Energy Accounting System for Fair and Sustainable Data Centers, Montoya Franco Alex
- Automatic Relabelling of Organs at Risk (OARs) Images using Auto-Segmentatio, Garg Aarohi
- Investigating the Impact of Prompt Engineering Techniques on Energy Consumption in Large Language Models, Moussaid Aicha
- Can model drift in machine learning systems lead to architectural drift? : An empirical study, Chavez Tapia Daniel Ricardo
Master´s thesis from the University of the Balearic Islands
EDISS INTAKE 1 – 2021-2023
- Optimizing Document Processing Pipeline for Parsing Receipts in the Wild, Kibria Raisul
- Exploratory Studies LAIA@UIB : Al Models for the Detection of Fraudulent Payments, Kurtaran Melih
- Blockchain-based Traceability of the Use of Oceanography Datasets, Akbar Refo Ilmiya
- A Comparative Study of YOLOv5 and YOLOv7 Modifications for Face Detection on a Custom Dataset, Anyim Amarachi Chetachi
- Whole-body Manipulation using Reinforcement Learning, Raza Minahil
- Exploratory Studies LAIA@UIB : Pre-trained Natural Language Processing models to respond to domain-specific inputs, Nurgaliyeva Lunara
- Developing a User-Centric Data Labelling Tool for Sentiment Analysis : A Comparative Study of Explainable AI and Non-Explainable AII, Davies Clare
EDISS INTAKE 2 – 2022-2024
- Virus-host prediction tools in the era of machine learning, Manasut Phornphawit
- Radiomic Features in Hepatocellular Carcinoma : Stability with Regard to the Lesion Segmentation, Charnota Sofiia
- Predictive Modeling Of Pavement Rutting Using Machine Learning Techniques, Hasan S M Zahid
- Digital Filters Adapted for Visual Accessibility in Electronic Devices, Yolanda Amelia
- Performance Analysis of Large Language Models on Summarization, Code Generation, and Conversational AI, Ul Haq Ikram
- Evaluating Transformer Models For Document Question Answering : A Comparative Study On Multilingual And Normative Texts, Yaradanakul Zeynep