Theses

Thesis

Staining Resilient Algorithms for Cancer Image Analysis in Digital Pathology

Md. Ziaul Hoque
Thesis

Cardio-respiratory signal analysis during human rhytmic movement

Iman Alikhani
Thesis

Towards Health-Aware in Food Recipe Recommendation

Mehrdad Rostami
Thesis

End-user insights into mobile health for self-management

Saba Kheirinejad
Thesis

Information Freshness Optimization and Semantic-aware Status Updating

Abolfazl Zakeri
Thesis

Deep Reinforcement Learning for Virtualized Radio Access Networks Orchestration

Fahri Wisnu Murti
Thesis

Advancing Vision-Guided Autonomous Ground Vehicles: Deep Learning Applications for Improved Perception and Specialized Industrial Operations

Siva Ariram
Thesis

Interference Robust RF Beamforming Transceivers for mmWave and Beyond

Muhammad Yasir Javed
Thesis

Collective Ambidexterity in the Public Sector: Collaborating Towards Innovativeness and Efficiency in Digital Service Ecosystems

Heidi Hietala
Thesis

Investigating the Human Impact of Perceptually Optimized Motions for Immersive Telepresence Robots

Katherine Mimnaugh
Thesis

Efficient Hardware Architectures for Multi-Kernel Polar Codes

Hossein Rezaei
Thesis

Ka-Band Power Amplifier Concepts in 22 nm CMOS FDSOI

Jere Rusanen
Thesis

Augmenting and Quantifying Digital Fabrication Spaces

Sohail Ahmed Soomro
Thesis

Transparent and tool-driven security assessment for sustainable IoT cybersecurity

Rauli Kaksonen
Thesis

Polarizability Models for Simulating Raman Spectra with Molecular Dynamics

Ethan Berger
Thesis

High-throughput computation of Raman spectra by atomistic first-principles methods

Mohammad Bagheri
Thesis

Machine-type Direct-to-Satellite Communications: Modeling and Performance Analysis

Muhammad Asad Ullah
Thesis

CMOS Integrated Wideband, Flexible and Scalable Beamforming Architecture

Rehman Akbar
Thesis

LEO satellite constellations for autonomous system operation in the Arctic region: situational awareness and communication aspects

Anastasia Yastrebova-Castillo
Thesis

Assessment of Neurological Function with Multimodal and Multichannel Physiological Signal Analysis Using Machine and Deep Learning Techniques

Nooshin Bahador