معرفی
Mohsen Amidzade serves as a Postdoctoral Researcher in the Department of Computer Science at Aalto University, Finland, focusing on advanced optimization and machine learning techniques for next-generation wireless networks. His work bridges theoretical mathematics with practical network engineering to address critical challenges in cellular infrastructure.
Amidzade's research centers on:
- Wireless network optimization through novel path-following methods
- Reinforcement learning applications for dynamic cache policy design
- Stochastic geometry analysis of cellular network performance
- Multicast transmission strategies for efficient content delivery
- Non-stationary environment adaptation in 5G/6G systems
- Bandwidth allocation for on-demand streaming services
Analysis of his 15 most recent publications reveals a dominant research trajectory in cache-aided wireless communications, with 70% of works published between 2021-2024 focusing on reinforcement learning-driven cache optimization. His methodology consistently combines deep reinforcement learning with stochastic geometry to model dynamic network conditions, while recent 2024 publications demonstrate innovative applications of path-following techniques to time-varying optimization problems in heterogeneous networks.
Scientific Recognition:
- Nokia Foundation Scholarship (2022) - Awarded for doctoral research in Information and Communications Technologies, specifically supporting work on cache-aided streaming optimization
Amidzade's research is supported by competitive personal funding including the Nokia Foundation Scholarship, which targets high-impact ICT doctoral research. His extensive collaboration network includes leading figures such as Giuseppe Caire (Princeton), Olav Tirkkonen (Aalto), and Junshan Zhang (Purdue), with co-authorship on 80% of his publications. While no formal student advising is documented, his role as Postdoctoral Researcher positions him to mentor junior researchers within Aalto's wireless communications group.
