معرفی
Majdoddin Esfandiari is a Postdoctoral Researcher at Aalto University's Department of Information and Communications Engineering, affiliated with the Esa Ollila Group. His research focuses on wireless communications, signal processing, and machine learning.
- Education: Master's degree in Engineering and Technology from Shiraz University (2018).
His research interests include channel estimation, direction-of-arrival (DoA) estimation, millimeter-wave systems, and sparse signal processing. He employs machine learning techniques like AdaBoost and reinforcement learning to address challenges in one-bit quantized systems and massive MIMO architectures.
Recent publications highlight advancements in one-bit millimeter-wave MIMO systems (2025), ISAC resource allocation (2025), and covariance matrix estimation (2025). Key trends include low-resolution signal processing, AI-driven resource optimization, and robustness in correlated noise environments.
He contributes to projects such as 6G ISAC (2023-2026) and MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING (2019-2021). Collaborations span Finland and international institutions.
