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  Supervisors OneLineSummary
Project(s) at Volvo Cars Corporation TBD Thesis topics at Volvo Car Corporation
Project(s) at Volvo Group TBD Thesis topics at Volvo Group
Protein Language Models for drug discovery Prayag Tiwari
Ali Amirahmadi
Leveraging the sequence-based transformer protein language model for improving potential drug targets identification
Reliability Analysis and Assessment of Multi- Core System-on-Chip through Transaction Pro- filing and Machine Learning Mahdi Fazeli
Resilience of ML Hardware Accelerators Against Accuracy Degrading Trojans Mahdi Fazeli The goal of this project is to assess the resilience of machine learning (ML) hardware accelerators, with a specific focus on Convolutional Neural Network (CNN) accelerators, when subjected to Trojan attacks aimed at degrading their accuracy.
SCANIA Project: Graph neural networks for anomaly detection Sepideh Pashami Graph neural networks for anomaly detection
Secure Hardware Accelerators for Machine Learning: Design, Evaluation, and Mitigation of Vulnerabilities Mahdi Fazeli and Ahmad Patooghy (North Carolina University
US)
This master's project focuses on investigating the security of hardware accelerators designed for machine learning
Secure IP Core Design Through LLM-Driven Logic Locking Mahdi Fazeli
Securing Internet of Autonomous Vehicles with Light-weight Authentication Hazem Ali
Mohamed Eldefrawy
investigating the HW/SW design of light-weight authentication for IoAV
Securing Multi-Processor System-on-Chips: Assessing Vulnerabilities to Hardware Trojans Through Thermal Profiles Mahdi Fazeli This master's thesis project is dedicated to conducting a comprehensive security assessment of modern multi-processor System-on-Chips (MPSoCs) equipped with multiple thermal sensors.
SimpleText: Automatic Simplification of Scientific Texts Pablo Picazo-Sanchez Automatic Simplification of Scientific Texts
The CatFish project To be decided (contact Slawomir Nowaczyk for more details) The project within Innovation Lab called CatFish has the aim of collecting data from water bodies through a system of drones
The effect of a mixed-capability vehicular fleet on Vulnerable Road User safety Elena Haller
Oscar Amador Molina
Investigation of the effect of different levels of connection, cooperation, and automation (e.g., local awareness, collective perception, statistics) on road safety and traffic efficiency for future mobility scenarios including pedestrians and cyclists.
The healthcare data mining with advance AI technology Guojun Liang
Prayag
The cardiovascular health care project
Thesis in connection with KEEPER project Sławomir Nowaczyk
TBD
KEEPER – knowledge creation for efficient and predictable industrial operations
Time series anomaly detection for Heavy-duty vehicles (in collaboration with Volvo) Yuantao & TBD Detecting anomalies in multivariate time series data via learned representations
Towards robustness of post hoc Explainable AI methods Parisa Jamshidi
Peyman Mashhadi
Jens Lundström
Towards robustness of post hoc Explainable AI methods
Trajectory prediction algorithms for intention sharing in Micromobility Elena Haller
Amira Soliman
Oscar Amador Molina
Self-prediction of trajectories by Vulnerable Road Users to share their intentions with vehicles.
Transfer Learning for Network Security Sławomir Nowaczyk
Zahra Taghiyarrenani
Study of Transfer Learning techniques in Network Security applications- Network Traffic Classification and Intrusion Detection
Uncertainty quantification for data driven clinical decision making Awais Ashfaq
Sławomir Nowaczyk
The student will build upon the field of evidential deep learning to identify and understand when the model says 'I don't know'
Utilization of Foundation Models for Federated Learning Zahra Taghiyarrenani
Yuantao Fan
Ali amirahmadi
This thesis aims to leverage Foundation Models and develop new aggregation paradigms to overcome challenges in Federated Learning.
V2X Intention Sharing for E-Bikes and E-Scooters Oscar Amador Molina
Elena Haller
Design and implementation of a protocol that enables Vulnerable Road Users to share their intentions with vehicles.
XAI for yoga posture recognition Cristofer Englund
Kevin Hernandez Diaz
To analyze the classification of yoga postures and the potential misclassification due to occlusion and perspective of images
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