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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Dasanadoddi Venkategowda, Naveen Kumar;
Moradi, Ashkan;
Werner, Stefan.
(2025)
Security and Privacy in Distributed Kalman Filtering.
Academic chapter
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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
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Moradi, Ashkan;
Zerka, Fadila;
Bosma, Joeran S.;
Sunoqrot, Mohammed R. S.;
Abrahamsen, Bendik Skarre;
Derya, Yakar;
Geerdink, Jeroen;
Huisman, Hendrik Johannes;
Bathen, Tone Frost;
Elschot, Mattijs.
(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;
Bathen, Tone Frost;
Elschot, Mattijs.
(2024)
Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy.
Academic chapter
2023
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
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
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
2021
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
Academic chapter
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
Academic chapter
2019
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
Academic chapter
Journal publications
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Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
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;
Zerka, Fadila;
Bosma, Joeran S.;
Sunoqrot, Mohammed R. S.;
Abrahamsen, Bendik Skarre;
Derya, Yakar;
Geerdink, Jeroen;
Huisman, Hendrik Johannes;
Bathen, Tone Frost;
Elschot, Mattijs.
(2025)
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study.
Radiology: Artificial Intelligence (RAI)
Academic article
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
Part of book/report
-
Dasanadoddi Venkategowda, Naveen Kumar;
Moradi, Ashkan;
Werner, Stefan.
(2025)
Security and Privacy in Distributed Kalman Filtering.
Academic chapter
-
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
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
Academic chapter
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
Academic chapter
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2022)
Communication-efficient and privacy-aware distributed LMS algorithm.
Academic chapter
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
Academic chapter
-
Moradi, Ashkan;
Zerka, Fadila;
Bosma, Joeran S.;
Yakar, Derya;
Geerdink, Jeroen;
Huisman, Hendrik Johannes;
Bathen, Tone Frost;
Elschot, Mattijs.
(2024)
Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy.
Academic chapter
Outreach
2025
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Conference lectureMoradi, Ashkan; Abrahamsen, Bendik Skarre; Geerdink, Jeroen; Yakar, Derya; Huisman, Henkjan; Bathen, Tone Frost; Elschot, Mattijs. (2025) Beyond the Sandbox: Real-World Federated Learning for MRI Prostate Cancer Detection. The British Machine Vision Conference (BMVC)
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Conference 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,
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Conference posterMoradi, Ashkan; Zerka, Fadila; Bosma, Joeran S.; Yakar, Derya; Geerdink, Jeroen; Huisman, Henkjan; Bathen, Tone Frost; Elschot, Mattijs. (2025) Federated Learning for Prostate Cancer Detection in Biparametric MRI. Flower AI Summit 2025
2024
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Conference 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
2023
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Conference posterMoradi, Ashkan. (2023) Federated Learning for Privacy-Aware Prostate Cancer Detection in Biparametric MRI. PRESIMAL research school Artificial Intelligence Methods in Medical Imaging
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Conference posterMoradi, Ashkan. (2023) Secured Prostate Cancer Detection with Biparametric MRI Data Federation. A Healthy Future by NTNU Health
2022
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Conference lectureGogineni, Vinay Chakravarthi; Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan. (2022) Communication-efficient and privacy-aware distributed LMS algorithm. International Conference on Information Fusion
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LectureMoradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; 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)
2019
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LectureMoradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; 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)