ECML PKDD 2026
Oral talk — “Benchmarking Machine Learning for Multi-Label Psychiatric Diagnosis”, PharML workshop
LinkedIn postTalks, Teaching & Honours
Conference talks & posters
CIKM 2025
Oral talk — “EFU: Enforcing Federated Unlearning via Functional Encryption”
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IJCNN 2025
Oral talk — “Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs”
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NeurIPS 2024
Oral talk & poster — “Bringing Functional Encryption in Federated Foundational Models”, FL@FM workshop
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FedCSIS 2023
Oral talk — “Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition”🏆 Professor Zdzisław Pawlak Award
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ISPEC 2023
Oral talk — “Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition”
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Invited talks
Flower Monthly
“Scalable Functional Encryption in Federated Learning,” hosted by Prof. Nicholas Lane (University of Cambridge / co-founder of Flower Labs).
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MegaData Summer School on Federated Machine Learning
“Balancing privacy and performance in Federated Learning.”
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Service
2026
2025
2025
Program Committee — CFAgentic @ ICML '25, Workshop on Collaborative and Federated Agentic Workflows.
Teaching
2020
Teaching Assistant — Computational Data Mining, University of Tehran.
2019–2020
Teaching Assistant — Complex Networks, University of Tehran.
Honours & Awards
2026
PhD Scholarship, School of Informatics, University of Edinburgh.
Nov 2025
ACM SIG Travel Grant to present at CIKM 2025, Seoul, South Korea.
Sep 2023
Professor Zdzisław Pawlak Award, FedCSIS 2023, for “Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition”.
2017
Ranked 68th among 19,598 candidates (top 0.4%) in the national M.Sc. entrance exam in Information Technology Engineering, Iran.