Raza Ali

Description

Ali completed his MS in Electrical Engineering from COMSATS University Islamabad in 2020, during which he served as a Research Assistant. His thesis focused on spatial modeling of interference in inter-vehicular networks within a 3D volumetric environment, contributing valuable insights to vehicular communication research. Following his graduation, Ali collaborated on innovative research projects with GC University and University College Cork. His work concentrated on incorporating RIS in the mmWave/THz spectrum, exploring its transformative potential in smart industrial environments and other advanced scenarios. Currently, Ali is a Marie-Curie fellow and doctoral researcher at the University of Oulu in EXACT-6G project. His research focuses on DoA estimation for future wireless communication systems using machine learning, particularly within the context of 6G.

Keywords

Alternating Iterative Minimization, Atomic Norm, Deep Learning, Deep Unfolding, DoA Estimation

Affiliations

University of Oulu

Doctoral Researcher -- Marie-Curie Fellow

Centre for Wireless Communications - Radio Technologies (CWC-RT)

2024 - 2027

Source: ORCID

Education (2)

Masters of Sciences

COMSATS University Islamabad

Bachelors of Sciences

COMSATS Institute of Information Technology - Wah Campus

Publications (3)

Show only peer-reviewed

2022

Intelligent reflecting surface‐assisted terahertz communication towards B5G and 6G: State‐of‐the‐art

DOI

10.1002/mop.33185

2021

A NOMA-Enabled Cellular Symbiotic Radio for mMTC

DOI

10.1007/s11277-021-09100-z

2020

Spatial Modeling of Interference in Inter-Vehicular Communications for 3-D Volumetric Wireless Networks

DOI

10.1109/access.2020.3001052

Activities and awards (4)

Reviewer of a scientific journal

Reviewer

Clarivate PLC

2024

Conference presentation

Performance Analysis of Intelligent Reflecting Surfaces for 5G/6G-Enabled Future Smart Industries with a Focus on Millimeter-Wave Band Communications