Dr. Bisma Manzoor
Details
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Department: School of Engineering
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Campus: City Campus Australia
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bisma.manzoor@rmit.edu.au
Open to
- Masters Research or PhD student supervision
About
Dr. Bisma Manzoor is an experienced researcher and academic with a PhD in Electronics and Electrical Engineering, specializing in wireless communication, AI-enabled RF signal processing, space communication and sensing technologies.She has also worked in industry as a Digital Signal Processing Engineer at Fleet Space Technologies, where she contributed to innovative satellite communication systems for IoT applications. She has been actively involved in projects enhancing IoT connectivity through machine learning and RF signal classification via satellite networks. In addition to her research, Dr. Manzoor is passionate about education and STEM outreach. She has taught various engineering subjects, including Network Engineering and Research Methods, and has received awards for both teaching and research excellence.
Research fields
- 400606 Satellite communications
- 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)
- 4006 Communications engineering
UN sustainable development goals
- 11 Sustainable Cities and Communities
- 9 Industry, Innovation and Infrastructure
- 10 Reduced Inequalities
- 5 Gender Equality
Academic positions
- Research Fellow
- RMIT University
- Electronics and Electrical Engineering
- Melbourne, Australia
- 9 Oct 2023 – Present
- Sessional Academic
- RMIT University
- Melbourne, Australia
- 1 Mar 2018 – 3 Dec 2021
Non-academic positions
- DSP Engineer
- Fleet Space Technologies
- Australia
- 27 Sep 2021 – 6 Oct 2023
Supervisor projects
- Lateral Emitters as Electron Source in Microwave Vacuum Electron Devices
- 24 Jan 2025
- Empty-State electronics - nanoscale vacuum channel circuits for satellite communications
- 14 Nov 2024
- Next generation mega satellite communication networks
- 20 Mar 2024
Teaching interests
Courses taught:
- Network Access Systems
- Network Services and Internet Applications.
- Research Methods for Engineers
- Network Engineering
- Advanced Network Engineering
- Network Fundamentals and Applications
- Digital Communication
- Communication Engineering
Research interests
Satellie Communication, Wireless Communication, Signal Processing, Spectrum Sensing, Internet of Things, Machine Learning for Communications Technologies.
