SCIoI Alumni

Mohsen Raoufi

Doctoral Researcher

Computer Science

HU Berlin

 

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Photo: SCIoI

← Alumni Overview

Mohsen Raoufi

Mohsen Raoufi

Photo: SCIoI

Mohsen obtained his Master’s degree in Dynamics and Control from Sharif University of Technology with a study on “State Estimation of Nonlinear Systems Using a Swarm-based Optimization Algorithm.” His primary research interests lie in dynamics and control, swarm robotics, optimization algorithms, and network dynamics. At SCIoI, he is involved in Project 27, titled “Speed-Accuracy Tradeoffs in Collective Estimation,” led by Pawel Romanczuk (Humboldt University of Berlin) and Heiko Hamann (University of Konstanz.) The main objective of this project is to gain insights into how modifications at the individual level affect both the accuracy and speed of collective estimation. Specifically, the project investigates the influence of factors such as the diversity of opinions, exploration-exploitation behaviors, and communication networks on the dynamics of the collective process.

Click here to see Mohsen’s final dissertation.

Projects

Mohsen Raoufi is member of:

• Project 27: Speed-accuracy tradeoffs in collective estimation
6984777 Raoufi 1 apa 50 date desc year 19992 https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
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Raoufi, M., Hamann, H., & Romanczuk, P. (2024). Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily. arXiv. https://doi.org/10.48550/ARXIV.2406.06440
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Estimation of continuous environments by robot swarms: Correlated networks and decision-making. 2023 IEEE International Conference on Robotics and Automation (ICRA), 5486–5492. https://doi.org/10.1109/ICRA48891.2023.10161354
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Individuality in Swarm Robots with the Case Study of Kilobots: Noise, Bug, or Feature? The 2023 Conference on Artificial Life. The 2023 Conference on Artificial Life. https://doi.org/10.1162/isal_a_00623
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Inter-individual Variations in Swarm Robotics with the Case Study of Kilobots. ICRA 2023, Workshop “Heterogeneity in Multi-Robot Systems.”
Sadeghi Amjadi, A., Raoufi, M., & Turgut, A. E. (2022). A self-adaptive landmark-based aggregation method for robot swarms. Adaptive Behavior, 30(3), 223–236. https://doi.org/10.1177/1059712320985543
Raoufi, M., Hamann, H., & Romanczuk, P. (2021). Speed-vs-Accuracy Tradeoff in Collective Estimation: An Adaptive Exploration-Exploitation Case. 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 47–55. https://doi.org/10.1109/MRS50823.2021.9620695

Best Workshop Poster Award (ICRA 2024)

Teaching Grant from Berlin Senate Fund (2024)

SCIoI Research Grant (2023)

Research

An overview of our scientific work

See our Research Projects