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I am currently a Postdoctoral Researcher at Imperial College London and a member of the Network and Systems Lab, under the supervision of Prof. Hamed Haddadi. My work focuses on secure and private deployment of machine-learning (ML) models on edge devices. My research explores solutions to challenges in model privacy and auditability, aiming to ensure that proprietary ML models remain protected and operate in compliance with user agreements. This involves leveraging cutting-edge techniques in secure computing and trusted execution environments to address limitations such as high overheads and constrained capabilities of edge devices, while enabling robust and efficient ML deployment pipelines.

Previously, I was a Doctoral (Ph.D.) Student in Computer Science at Umeå University, Sweden, funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). My Ph.D. research was supervised by Prof. Erik Elmroth and Dr. Monowar Bhuyan, and I was a member of the Autonomous Distributed Systems Lab.

News

[January 2025] Started as Postdoctoral Researcher at Imperial College London.

[December 2024] Paper titled “Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints” published at IEEE Access.

Contact

Translation & Innovation Hub (I-Hub)
84 wood Lane, W12 0BZ
London
United Kingdom

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In a nutshell

• 2025–present: Postdoctoral Researcher, Imperial College London, UK
• 2020–2024: Ph.D. in Computer Science, Umeå University, Sweden
• 2017–2019: Master of Science in Computer Software Engineering, Amirkabir University, Iran
• 2011–2016: Bachelor of Science in Computer Software Engineering, Iran University of Science and Technology, Iran