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
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
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
