About
I'm in the final year of my PhD in the School of Informatics at the University of Edinburgh, supervised by Dr. Marc Juarez. I completed my M.Sc. in Information Technology Engineering at the University of Tehran.
My research centers on Efficient and Trustworthy Federated Learning — distributed machine-learning systems that stay private, fair, and practical to run on the resource-constrained edge hardware you find outside the lab.
Research & Publications
Privacy-Preserving & Communication-Efficient Federated Learning
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CIKM '25 — 34th ACM Conference on Information and Knowledge Management.
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PMCJ '25 — Pervasive and Mobile Computing Journal.
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FL@FM NeurIPS'24 — Workshop on Federated Foundation Models at NeurIPS '24
Efficiency, Fairness & Privacy Trade-offs in Federated Learning
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IJCNN '25 — International Joint Conference on Neural Networks.
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FedCSIS '23 — 18th Conference on Computer Science and Intelligent Systems. Best Paper Award.
Professional Experience
- Fairness and Bias in LLM — (ongoing).
- Group-aware Federated Learning Architecture — providing fair outcome across demographic groups under Differential Privacy. Publication (under review — PETS '27)
Research and development across two EU projects — DAIS and DADAP — with academic, industrial, and clinical partners.
- Scalable Encryption for Federated Learning — developed FL frameworks that make functional and homomorphic encryption practical to deploy on resource-constrained devices. Publication (PMCJ '25, Workshop at NeurIPS '24, ISPEC '23)
- Physical Federated Learning Testbed and Model Deployment — deployed federated Speech Emotion Recognition across heterogeneous edge hardware to benchmark efficiency, fairness, and privacy under real-world constraints. Publication (IJCNN '25, FedCSIS '23)
- Transformer Models on Clinical Mental Health Data — improving reliability, accuracy, and fairness for Swedish hospital deployment. Publication (under review — PharML Workshop at ECML PKDD 2026)
- ERP Development — new Odoo modules for finance and supply-chain operations.
- System Integration — connecting new modules with existing finance and supply-chain systems.
- Anomaly Detection — spotting unusual patterns in evolving information networks.
- Group Inductive Learning — generalising to unseen network structures from neighbour behaviour.
Education
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Ph.D. in Cyber Security, Privacy, and Trust.
Thesis: Efficient and Trustworthy Federated Learning for Privacy-Critical Applications. -
M.Sc. in Information Technology Engineering.
Thesis: Anomaly Detection in Dynamic Information Networks. Grade: A.