Ashkan Moradi
About
Ashkan Moradi received an M.Sc. degree in telecommunication networks from the University of Tehran in 2016. He received a Ph.D. degree in "Distributed Learning and Estimation with Enhanced Privacy and Security" from the Department of Electronic Systems, Norwegian University of Science and Technology (NTNU) in 2023. From June 2022 to August 2022, he was a Visiting Researcher at the Technical University of Munich. He is currently a Postdoctoral researcher at the Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences at NTNU. His expertise and research interests include Federated learning with a primary focus on cancer research, distributed learning, and estimation in resource-constrained networks, with an emphasis on agent privacy and data security.
Publications
2025
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Venkategowda, Naveen Kumar Dasanadoddi;
Moradi, Ashkan;
Werner, Stefan.
(2025)
Security and Privacy in Distributed Kalman Filtering.
Academic chapter/article/Conference paper
-
Nagaraju, Sachin Dudda;
Moradi, Ashkan;
Abrahamsen, Bendik Skarre;
Elschot, Mattijs.
(2025)
FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation Using Multi-modal Images.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Zerka, Fadila;
Bosma, Joeran S.;
Sunoqrot, Mohammed R. S.;
Abrahamsen, Bendik Skarre;
Derya, Yakar.
(2025)
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study.
Radiology: Artificial Intelligence (RAI)
Academic article
2024
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Moradi, Ashkan;
Zerka, Fadila;
Bosma, Joeran S.;
Yakar, Derya;
Geerdink, Jeroen;
Huisman, Hendrik Johannes.
(2024)
Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy.
Academic chapter/article/Conference paper
2023
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Communication-efficient and privacy-aware distributed learning.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines.
IEEE Sensors Journal
Academic article
2022
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Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2022)
Communication-efficient and privacy-aware distributed LMS algorithm.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
2021
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
Academic chapter/article/Conference paper
2019
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
Academic chapter/article/Conference paper
Journal publications
-
Moradi, Ashkan;
Zerka, Fadila;
Bosma, Joeran S.;
Sunoqrot, Mohammed R. S.;
Abrahamsen, Bendik Skarre;
Derya, Yakar.
(2025)
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study.
Radiology: Artificial Intelligence (RAI)
Academic article
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Communication-efficient and privacy-aware distributed learning.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines.
IEEE Sensors Journal
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
Part of book/report
-
Venkategowda, Naveen Kumar Dasanadoddi;
Moradi, Ashkan;
Werner, Stefan.
(2025)
Security and Privacy in Distributed Kalman Filtering.
Academic chapter/article/Conference paper
-
Nagaraju, Sachin Dudda;
Moradi, Ashkan;
Abrahamsen, Bendik Skarre;
Elschot, Mattijs.
(2025)
FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation Using Multi-modal Images.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Zerka, Fadila;
Bosma, Joeran S.;
Yakar, Derya;
Geerdink, Jeroen;
Huisman, Hendrik Johannes.
(2024)
Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2022)
Communication-efficient and privacy-aware distributed LMS algorithm.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
Academic chapter/article/Conference paper
Outreach
2025
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Academic lectureMoradi, Ashkan; Abrahamsen, Bendik Skarre; Geerdink, Jeroen; Yakar, Derya; Huisman, Henkjan; Bathen, Tone Frost. (2025) Beyond the Sandbox: Real-World Federated Learning for MRI Prostate Cancer Detection. The British Machine Vision Conference (BMVC) , Sheffield 24.11.2025 - 28.11.2025
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PosterNagaraju, Sachin Dudda; Moradi, Ashkan; Abrahamsen, Bendik Skarre; Elschot, Mattijs. (2025) Multimodal Federated Learning for Multi-Organ Segmentation using Domain Generalization. 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, , Copenhagen 14.07.2025 - 17.07.2025
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PosterMoradi, Ashkan; Zerka, Fadila; Bosma, Joeran S.; Yakar, Derya; Geerdink, Jeroen; Huisman, Henkjan. (2025) Federated Learning for Prostate Cancer Detection in Biparametric MRI. Flower AI Summit 2025 , London 26.03.2025 - 27.03.2025
2024
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PosterMoradi, Ashkan; Abrahamsen, Bendik Skarre; Elschot, Mattijs. (2024) Semi-supervised Multi-task Federated Learning for Multi-organ Segmentation: a Student-Teacher Approach. NorwAI Innovate Conference 2024 , Trondheim 24.09.2024 - 25.09.2024
2023
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PosterMoradi, Ashkan. (2023) Federated Learning for Privacy-Aware Prostate Cancer Detection in Biparametric MRI. PRESIMAL research school Artificial Intelligence Methods in Medical Imaging , Tromsø 15.09.2023 -
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PosterMoradi, Ashkan. (2023) Secured Prostate Cancer Detection with Biparametric MRI Data Federation. A Healthy Future by NTNU Health , Trondheim 05.10.2023 -
2022
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Academic lectureGogineni, Vinay Chakravarthi; Moradi, Ashkan; Venkategowda, Naveen Kumar Dasanadoddi; Werner, Stefan. (2022) Communication-efficient and privacy-aware distributed LMS algorithm. International Conference on Information Fusion , Linköping, Sweden 04.07.2022 - 07.07.2022
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LectureMoradi, Ashkan; Venkategowda, Naveen Kumar Dasanadoddi; Talebi, Sayedpouria; Werner, Stefan. (2022) Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries. 55th Asilomar Conference on Signals, Systems, and Computers (Asilomar 2021) , Virtual conference 31.10.2021 - 03.11.2021
2019
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LectureMoradi, Ashkan; Venkategowda, Naveen Kumar Dasanadoddi; Werner, Stefan. (2019) Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering. 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 15.12.2019 - 18.12.2019