Personal profile
Research interests
Nima Monshizadeh's core research area concerns Optimization and Control of Cyber-Physical Human Systems (CPHS). Conventionally, humans are viewed as independent entities that consume, use, or operate cyber-physical systems. However, this conventional view is changing, and humans are expected to play a much more active role in those systems, resulting in fully intertwined complex cyber-physical human systems (CPHS). Currently, within this theme, two research lines pursued in Dr. Monshizadeh research group :
I. Coordination of self-interested users
Individuals, firms, and parties make decisions that not only affect their own well-being but also affect the entire society as a whole. As these decisions are primarily based on individual benefits, their aggregate effect can be in sharp contrast with the interest or safety of the overall society, and may even lead to catastrophic events like power blackouts and market crashes. The resulting devastating societal effects underscore the necessity of proper coordination among self-interested agents. The aim of the research group along this line is to reduce the gap between self-interested decisions and those aligned with the welfare of society. Dynamic information design , dynamic pricing, and game-theoretic market mechanisms are used as the main tools to achive this goal. Main applications of interest are power systems and traffic networks.
II. Privacy-aware control and optimization.
Modern cyber-physical human systems include several components interacting with each other to achieve a certain goal. The extensive data collection and information exchange raise urgent privacy issues that need to be carefully addressed. Motivated by the rising privacy concerns in the society, the research group of Dr. Monshizadeh develops privacy-preserving optimization and control algorithms in cyber-physical human systems. Two general approaches within this research line are: (i) Tailoring and adapting the existing powerful privacy-preserving tools (e.g. differential privacy and encryption) to the needs and setups of CP(H)S. The main feature/twist here is the fact data is not static and is generated by a dynamical system modelled by differential/difference equations. (ii) The second approach is to develop new privacy-preserving methods that are tailored for a given control or optimization problem. The main advantage would be to keep the system performance level (unlike noise addition schemes) and to provide light computations (unlike encryption schemes).
Education/Academic qualification
Control Systems, PhD , Model Reduction and Control of Complex Systems, University of Groningen
Award Date: 6-Dec-2013
Research Associate , University of Cambridge
1-Oct-2016 → 31-Dec-2017
Postdoctoral researcher, University of Groningen
1-Mar-2014 → 31-Aug-2014
Assistant Professor , University of Groningen
1-Jan-2018 → …
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Collaborations and top research areas from the last five years
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Controller synthesis from noisy-input noisy-output data
Li, L., Bisoffi, A., De Persis, C. & Monshizadeh, N., Jan-2026, In: Automatica. 183, 14 p., 112545.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)5 Downloads (Pure) -
Data-driven output feedback control of nonlinear systems: Stabilization and robustness
Dai, X., De Persis, C., Monshizadeh, N. & Tesi, P., Jan-2026, In: European Journal of Control. 87, 12 p., 101436.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile9 Downloads (Pure) -
A Versatile Framework for Data-Driven Control of Nonlinear Systems
Monshizadeh, N., Persis, C. D. & Tesi, P., 8-Aug-2025, (E-pub ahead of print) In: IEEE Transactions on Automatic Control.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Citations (Scopus)1 Downloads (Pure) -
Online Adaptation of Data-Driven Controllers for Unknown Nonlinear Systems
Dai, X., De Persis, C. & Monshizadeh, N., 11-Sept-2025, (E-pub ahead of print) In: International Journal of Robust and Nonlinear Control. 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure) -
Preserving Privacy in Cloud-Based Data-Driven Stabilization
Hosseinalizadeh, T. & Monshizadeh, N., Dec-2025, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 55, 12, p. 9558-9569 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile
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DISC Summer school: Security and Resiliency for Cyber-Physical Systems
Monshizadeh, N. (Contributor)
27-Jun-2022 → 30-Jun-2022Activity: Organising and attending an event › Organising and contributing to an event › Academic
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Automatica (Journal)
Monshizadeh, N. (Editorial board member)
1-Dec-2020 → …Activity: Peer-review and editorial work › Editorial work › Academic
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IEEE (Publisher)
Monshizadeh, N. (Editorial board member)
2020 → …Activity: Peer-review and editorial work › Editorial work › Academic
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Energy Open 2019
Monshizadeh Naini, N. (Member of organising committee)
7-Nov-2019 → 8-Nov-2019Activity: Organising and attending an event › Organising and contributing to an event › Academic
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7th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys18)
Monshizadeh Naini, N. (Member of organising committee)
27-Aug-2018 → 28-Aug-2018Activity: Organising and attending an event › Organising and contributing to an event › Academic
Datasets
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Data set for study '"Optimal intervention strategies to mitigate the COVID-19 pandemic effects"
Kasis, A. (Contributor), Timotheou, S. (Contributor), Monshizadeh Naini, N. (Contributor) & Polycarpou, M. (Contributor), ZENODO, 4-Dec-2020
Dataset
Prizes
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Cum Laude distinction
Monshizadeh Naini, N. (Recipient), Dec-2013
Prize: Other distinction › Academic