Omar Anwar

Omar Anwar is a Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at the University of Western Australia. He holds a BS in Electronic Engineering from Muhammad Ali Jinnah University (2007) and an MS in Embedded Systems Engineering from the University of Leeds (2009). His research focuses on Machine Learning, Low Power Computing, Wireless Sensor Networks, and Radio Frequency Interference (RFI) mitigation in radio astronomy. Currently, he contributes to the Data Intensive Astronomy (DIA) group at ICRAR, addressing RFI challenges critical to astronomy research.

Education:

• Bachelor of Science in Electronic Engineering, Muhammad Ali Jinnah University, 2007
• Master of Science in Embedded Systems Engineering, University of Leeds, 2009

Research Interests:

Anwar’s work combines machine learning with hardware optimization to solve real-world challenges. His innovations include developing low-power, long-range sensor systems for remote beehive health monitoring and pioneering the first ML model for beehive weight estimation. His current focus on RFI minimization aims to enhance radio astronomy data quality. His research bridges agriculture, embedded systems, and astrophysics, emphasizing interdisciplinary applications.

Awards & Grants:

No specific awards or grants are listed in the provided texts.

Advising & Labs:

Anwar is part of the DIA group at ICRAR, collaborating on large-scale astronomical data challenges. No formal advisee list is provided.