Optimizing resource allocation in cloud-based services

This thesis aims to develop and implement algorithms to optimize resource allocation in cloud-based services. The goal is to improve performance and cost efficiency by analyzing and adjusting the use of virtual machines and storage resources in real time.

Supervisor: Dan Hallengren

AI based testing / monitoring / detection for Cloud PBX apps

This thesis aims to develop and implement support for continuously testing, detecting, verifying features and performance. The goal is to improve our ability to understand how the apps are experienced by customers, shorten our reaction time in case of problems and streamline our process for testing new releases.

Supervisor: Roger Bovbjerg

AI in Software Development Life Cycle using AI GenAI agents

If you are interested in AI you can write your thesis around subjects like Automated Software incident routing, AI Enhanced requirement gathering, AI Driving system monitoring & recovery, AI powered Interactive Knowledge hub or AI assistant development & maintenance.

Supervisor: Naresh Vunnam

AI in Customer Experience

In this thesis you should develop a chatbot or virtual assistant using NLP that can provide personalized responses, predict customer issues before they arise, and offer tailored solutions based on user data. You can also choose to develop a solution based on data and business model detect the deviation in monthly bill with predictive communication to a customer.

Supervisor: Shahzad Gul

AI in Networks

In this thesis you should investigate fraud/anomaly detection using machine learning, as well as a combination of supervised and unsupervised learning techniques on call data records.

Supervisor: Shahzad Gul

AI in Digital Marketing

In this thesis you should develop an AI model that analyzes customer usage patterns to deliver personalized plans, offers, and services. This could include real-time adjustments based on user behavior, build a solution leveraging GenAI which can create marketing content such as advertisements, blog posts, and social media copy based on specific brand guidelines, customer personas, and industry trends.

Supervisor: Shahzad Gul

Service delivery performance modelling and prediction

Explore the TV service delivery and its performance, based on how end-users get the service delivered, to successfully optimize service delivery according to customer needs. The goal is to investigate what needs to be measured, how to do it, and what software solutions can be developed to ensure that all devices are at the best possible conditions. 

Supervisor: Jaume Rius i Riu

Data Stream processing and enrichment

Explore the cutting-edge realm of real-time data stream processing and enrichment to achieve proactive operational measures and automated incident remediation.

Supervisor: Jaume Rius i Riu

Cross platforms synthetic workloads for ensuring higher quality

This thesis aims to develop and implement a suite of cross-platform synthetic workloads that can be deployed across various environments.

Supervisor: Jaume Rius i Riu

Road traffic data

This thesis will involve extracting location and network data to aggregate and visualize the movement of mobile telephones over a period of five years. This is a unique opportunity to work with large datasets and apply your skills in programming and machine learning to derive meaningful insights.

Supervisor: Andreas Lewitzki

IT Governance & Compliance, three topics:

• Can AI Be Used to Facilitate Access Management While Maintaining Security Levels?
• How Can Parts of the Compliance Work Be Automated?
• What Does Research Say About Ways of Working in Large Organizations, and Which Aspects Should Telenor Adopt in the Future?

Supervisor: Sara Myrén