Members

Head of the Research Group

Hamed Badihi

Assistant Professor
Automation Technology and Dependable Systems
Faculty of Engineering and Natural Sciences
Tampere University
+358505695950
hamed.badihi@tuni.fi

https://orcid.org/0000-0002-9519-6303

About me

I am an Assistant Professor in Automation Technology and Dependable Systems. I also lead the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group, which is part of the Dependable Systems Cyber Laboratories. My research focuses on critical aspects of condition monitoring, fault-tolerant control, and attack-resilient control, aimed at developing a sustainable and dependable cyber-physical world.

Field of expertise

Condition monitoring, diagnostics, and prognostics
Fault-tolerant and attack-resilient control
Safety and security of industrial control systems
Cyber-physical-social systems

Project links

StreamSTEP (EU Project)

Main positions of trust

Professional Memberships
Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
Member, Finnish Society of Automation
Editorial Roles
Associate Editor, Information Processing in Agriculture (Elsevier)
Editor, International Transactions on Electrical Energy Systems (Wiley)
Editor, IET Cyber-Systems and Robotics (Wiley & IET)
Editor, Advances in Fuzzy Systems (Wiley)
Editor, Processes (MDPI)

Latest publications

Enhancing representative photovoltaic scenario extraction for multiple power stations with a shared-weight and adaptively fused graph clustering method

Lu, N., Fu, X., Zhang, P., Qiu, D., Badihi, H., Abdel-Salam, M. & Gu, H., 1 maalisk. 2026, julkaisussa: Applied Energy. 406, 127291.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Information processing and enabling technologies for agricultural energy Internet applications

Zhang, X., Zhao, X., Badihi, H., Al-Bazi, A., Li, Z. & Qiu, D., 2026, (E-pub ahead of print) julkaisussa: Information Processing in Agriculture.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Multi-scale patch and frequency-domain gated learning for high-resolution day-ahead photovoltaic forecasting

Zhang, C., Fu, X., Qiu, D., Badihi, H., Zhang, P., Zhang, Y. & Gu, H., 1 tammik. 2026, julkaisussa: Applied Energy. 402, 126973.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Robust imputation of missing photovoltaic power data using a weather- and context-aware hybrid transformer framework

Zhang, C., Fu, X., Qiu, D., Badihi, H. & Gu, H., 1 tammik. 2026, julkaisussa: Renewable Energy. 256, 124576.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

An Automated SCADA Alarm Analysis in Wind Turbines for Improving Reliability and Downtime – A Solution for Operators

Chatterjee, S. & Badihi, H., 30 kesäk. 2025, IEEE 19th International Conference on Control & Automation (ICCA). IEEE, s. 517-522 (IEEE International Conference on Control and Automation).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

A Novel BI-LSTM Attention-Based Framework for Accurate Net Load and Renewable Energy Forecasting in Microgrids

Azami, H., Nesheli, S. J. & Badihi, H., 6 lokak. 2025, 2025 6th International Conference on Control and Fault-Tolerant Systems (SysTol). IEEE, (International Conference on Control and Fault-Tolerant Systems (SysTol)).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

A novel clustering-ensemble learning model for day-ahead photovoltaic power forecasting

Yang, F., Fu, X., Li, Z., Qiu, D. & Badihi, H., 12 jouluk. 2025, julkaisussa: Engineering Applications of Artificial Intelligence. 161, 112281.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Energy conversion for electrified transportation systems

Alilou, M., Azami, H., Mohammadi-ivatloo, B. & Badihi, H., 2025, Comprehensive Energy Systems. 2 toim. Elsevier, Vuosikerta 8. s. 876-906

Tutkimustuotos: Luku › Tieteellinen › vertaisarvioitu

Energy Management in Customized Microgrid: A Comparative Analysis of Reinforcement Learning Approaches

Gharehbagh, H. K., Azami, H., Badihi, H. & Mohammadi-ivatloo, B., 23 marrask. 2025, 2025 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East). IEEE, 5 Sivumäärä

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Innovations in grid resilience technologies

Azami, H., Alilou, M., Badihi, H. & Mohammadi-Ivatloo, B., 2025, Reference Module in Materials Science and Materials Engineering. Elsevier

Tutkimustuotos: Luku › Tieteellinen › vertaisarvioitu

Postdoctoral Researchers

Subhajit Chatterjee

Marie Curie Research Fellow
Faculty of Engineering and Natural Sciences
Tampere University
subhajit.chatterjee@tuni.fi

Doctoral Researchers

Hatef Azamizenouzagh

Doctoral Researcher
Faculty of Engineering and Natural Sciences
Tampere University
+358505633543
hatef.azamizenouzagh@tuni.fi

https://orcid.org/0009-0008-3116-5058

More information

About me

I am a doctoral researcher in the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group and the Dependable Systems Cyber Laboratories. My research field includes AI applications in power systems, especially in energy domains, optimization techniques for integrating renewable energy resources into the electric grid, and cybersecurity.

Field of expertise

AI and machine learning
Fault tolerance and cybersecurity
Renewable Energies and power systems
Energy management and market analysis

Latest publications

Hamed Mirzabagherian

Doctoral Researcher
Faculty of Engineering and Natural Sciences
Tampere University
+358504750422
hamed.mirzabagherian@tuni.fi

Andre Alves Siqueira

Doctoral Researcher
Faculty of Engineering and Natural Sciences
Tampere University
andre.alvessiqueira@tuni.fi

Head of the Research Group

Hamed Badihi

About me

Field of expertise

Enhancing representative photovoltaic scenario extraction for multiple power stations with a shared-weight and adaptively fused graph clustering method

Information processing and enabling technologies for agricultural energy Internet applications

Multi-scale patch and frequency-domain gated learning for high-resolution day-ahead photovoltaic forecasting

Robust imputation of missing photovoltaic power data using a weather- and context-aware hybrid transformer framework

An Automated SCADA Alarm Analysis in Wind Turbines for Improving Reliability and Downtime – A Solution for Operators

A Novel BI-LSTM Attention-Based Framework for Accurate Net Load and Renewable Energy Forecasting in Microgrids

A novel clustering-ensemble learning model for day-ahead photovoltaic power forecasting

Energy conversion for electrified transportation systems

Energy Management in Customized Microgrid: A Comparative Analysis of Reinforcement Learning Approaches

Innovations in grid resilience technologies

Postdoctoral Researchers

Subhajit Chatterjee

Doctoral Researchers

Hatef Azamizenouzagh

About me

Field of expertise

A Novel BI-LSTM Attention-Based Framework for Accurate Net Load and Renewable Energy Forecasting in Microgrids

Energy conversion for electrified transportation systems

Energy Management in Customized Microgrid: A Comparative Analysis of Reinforcement Learning Approaches

Innovations in grid resilience technologies

Fractional-Order Control Techniques for Renewable Energy and Energy-Storage-Integrated Power Systems: A Review

Hamed Mirzabagherian

Andre Alves Siqueira

Research Assistants

Teemu Alanko

Mehdi Moallemkolaei

Visiting Researchers

Nasrin Ramezanzadeh

Past Members/Visitors