About Me
Hi! My name is Ehsan, but you can also call me Ethan! I am a PhD candidate at the Department of Electronic Systems (IES) at the Norwegian University of Science and Technology (NTNU) in Norway.
My research is centered on the application of signal processing techniques to enhance the privacy, security, robustness, and efficiency of machine learning algorithms.
For more details, please find my CV here (last updated May 2025).
Contact: firstname [dot] lastname [at] ieee [dot] org
Research Interests
My main research interests are:
• Distributed and Federated Machine Learning
• Privacy-Preserving Techniques
• Applications of Signal Processing in Machine Learning
• Reliable Uncertainty Estimation using Conformal Prediction Methods
• Bayesian Approaches to Learning and Inference
• Causal Discovery and Inference in Machine Learning
• Recommender Systems
Publications
Resilience In Online Federated Learning: Mitigating Model-Poisoning Attacks Via Partial Sharing
Noise-Robust and Resource-Efficient ADMM-Based Federated Learning For WLS Regression
Privacy-Preserving Distributed Nonnegative Matrix Factorization
Distributed Maximum Consensus Over Noisy Links
On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing
Continual Local Updates For Federated Learning With Enhanced Robustness To Link Noise
Resource-Efficient Federated Learning Robust To Communication Errors
Teaching
• Digital Signal Processing (TTT4120)
• Design of Integrated Circuits (TFE4152)
• Estimation, Detection and Classification (TTT4275)