SPIN-at-NTNU

Today Khadija Shaheen successfully defended her PhD thesis at NTNU.
The thesis is mostly based on 5 papers published with the IEEE Sensors Journal (1), IEEE Internet of Things Journal (2), IEEE Transactions on Signal and Information Processing (2), plus some conference papers.
Khadija is the fifth PhD graduate from the research group SPIN (established in 2020 at the Department of Electronic Systems, NTNU).
Congrats Dr. Shaheen 🙂
Title: Model-based Sensor Validation for Digital Twins
Committee:
First Opponent: Professor Baltasar Beferull-Lozano (SimulaMet, Norway);
Second Opponent: Dr. Geethu Joseph (Delft University of Technology, The Netherlands);
Internal Opponent: Prof. Stefan Werner;
Administrator: Prof. Kimmo Kansanen.

The paper “Failure Prediction in Manufacturing Processes via Kullback-Leibler Divergence” authored by Gianluca Tabella, Mohammed Ayalew Belay, Ismael Viejo, Maria Herrando, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Sensors Letters.
It is based on the activities within the project FLEX4FACT (funded by the European Union under the Horizon Europe research and innovation program) and is the result of a collaboration between NTNU, SINTEF Energy, and Instituto Tecnologico de Aragon.

Today Mohammed Ayalew Belay successfully defended his PhD thesis at NTNU.
The thesis is mostly based on 4 papers published with the IEEE Sensors Journal (2), IEEE Signal Processing Letters, and MDPI Sensors and 2 papers currently under review with IEEE Sensors Journal and IEEE Transactions on Industrial Informatics, plus some conference papers.
Ayalew is the fourth PhD graduate from the research group SPIN (established in 2020 at the Department of Electronic Systems, NTNU).
Congrats Dr. Belay 🙂
Title: Unsupervised Anomaly Detection for Digital Twins
Committee:
First Opponent: Prof. Linga Reddy Cenkeramaddi (University of Agder, Norway);
Second Opponent: Dr. Rita P. Ribeiro (University of Porto, Portugal);
Internal Opponent: Prof. Giampiero Salvi;
Administrator: Prof. Stefan Werner.

The paper “Unsupervised Leak Detection for Heat Recovery Steam Generators in Combined-Cycle Gas and Steam Turbine Power Plants” authored by Mohammed Ayalew Belay, Lucas Ferreira Bernardino, Sindre Stenen Blakseth, Adil Rasheed, Ruben Mocholi Montanes, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Sensors Journal.
It is based on the activities within the project Digital Twin (funded by the Research Council of Norway) and is the result of a fruitful collaboration between NTNU and SINTEF Energy.

The paper “Sensor Validation in Carbon Capture and Storage Infrastructures” authored by Amirshayan Haghipour, Gianluca Tabella, Jacob Stang, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Sensors Letters. It is based on the activities within the project SIGNIFY (funded by the Research Council of Norway) and builds upon the fruitful collaboration between the Dept. Electronic Systems at NTNU and the Dept. Gas Technology at SINTEF Energy on topics related to digitalization and energy solutions.

The paper “Trust-enhanced Distributed Kalman Filtering for Sensor Fault Diagnosis in Sensor Networks” authored by Khadija Shaheen, Apoorva Chawla, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Transactions on Signal and Information Processing over Networks.
It is based on the activities within the project SIGNIFY (funded by the Research Council of Norway).

Today Muhammad Asaad Cheema successfully defended his PhD thesis at NTNU.
The thesis is mostly based on 5 papers published with the IEEE Sensors Journal, IEEE Internet of Things Journal (2), IEEE Communications Letters, and Elsevier Physical Communication plus 1 paper published with the IEEE Sensors Letters.
Asaad is the third PhD graduate from the research group SPIN (established in 2020 at the Department of Electronic Systems, NTNU).
Congrats Dr. Cheema 🙂
Title: Topology-Aware Machine Learning in IoT Systems
Committee:
First Opponent: Prof. Nirvana Meratnia (Eindhoven University of Technology, The Netherlands);
Second Opponent: Dr. Ashis Rauniyar (SINTEF Digital, Norway);
Internal Opponent: Prof. Kimmo Kansanen;
Administrator: Prof. Giampiero Salvi.

The paper “Partial-Distributed Particle Filter for Multi-Sensor Fault Diagnosis in Carbon Dioxide Pipelines” authored by Khadija Shaheen, Apoorva Chawla, Ferdinand Uilhoorn, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Internet of Things Journal.
It is based on the activities within the project SIGNIFY (funded by the Research Council of Norway).

The paper “Region-Specific Reliable Channel Estimation in RIS-Enabled Wireless Communications via Clustered Federated Learning” authored by Muhammad Asaad Cheema, Apoorva Chawla, Vinay Chakravarthi Gogineni, and Pierluigi Salvo Rossi has been accepted for publication with Physical Communication, Elsevier.
It is based on the activities within the project ML4ITS (funded by the Research Council of Norway).

Nice collaboration between the Department of Electronic Systems and the Department of Structural Engineering at NTNU.
The paper “Clustered Federated Learning for Population-Based Structural Health Monitoring” authored by Muhammad Asaad Cheema, Muhammad Zohaib Sarwar, Daniel Cantero, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Internet of Things Journal.
It is based on the activities within the project ML4ITS (funded by the Research Council of Norway).

The paper “Channel Estimation in RIS-Aided Heterogeneous Wireless Networks via Federated Learning” authored by Muhammad Asaad Cheema, Apoorva Chawla, Vinay Chakravarthi Gogineni, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Communications Letters.
It is based on the activities within the project ML4ITS (funded by the Research Council of Norway).

The paper “Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection” authored by Mohammed Ayalew Belay, Adil Rasheed, and Pierluigi Salvo Rossi has been accepted for publication with the IEEE Signal Processing Letters.
It is based on the activities within the project Digital Twin (funded by the Research Council of Norway).