cv

Basics

Name Mahnoor Anjum
Label PhD Student
Email mahnoor.anjum@unsw.edu.au
Phone (912) 123-4567
Url https://mahnooranjum.github.io
Summary I am a second year PhD student in the School of Electrical Engineering and Telecommunications at UNSW Sydney working on integrated sensing and communication systems.

Awards

Education

Work

  • 2024.12 - 2025.02
    Visiting Researcher
    Design and analyze near-field integrated sensing and communication systems at the Wireless Systems Lab.
  • 2024.03 - Present
    Research Assistant
    Design and analyze quantum communication systems using statistical analysis, machine learning, and optimization techniques.
  • 2022.07 - 2023.08
    Senior Design Engineer
    Designed, implemented and developed production-ready solutions with a directed focus on machine learning, data science, big data analytics, algorithm design and communication systems.
  • 2022.01 - 2023.03
    Research Assistant
    Utilized machine learning and stochastic methods to analyze a time-weighted positioning system based on LoRa technology. Explored system-level optimization of IRS-assisted 3D-interconnected communication systems using machine learning.
  • 2020.01 - 2020.06
    Research Assistant
    Researched wireless and data-driven systems using machine learning and data science techniques. Published two articles.
  • 2019.06 - 2022.06
    Design Engineer
    Prototyped and developed algorithms for data-driven solutions using machine learning, big data analytics, data science and communication theory.
  • 2018.08 - 2018.09
    Research Intern
    Researched tracking systems, localization systems, Simblee programming and communication systems. Learned application development, PCB design, PCB fabrication, and 3D printing.
  • 2018.07 - 2019.05
    Researcher
    Researched and documented communication systems and networks, tracking techniques and algorithms, time synchronization, LPWAN technologies and published a paper in IWCMC 2019.
  • 2018.06 - 2018.08
    Intern
    Programmed reusable code for machine learning, deep learning, computer vision, and natural language processing algorithms.
  • 2018.06 - 2018.08
    Intern
    Programmed mathematical models of neural networks using PyTorch and MATLAB.
  • 2017.07 - 2017.08
    Development Intern
    Worked with advanced electronics, development boards, GUI design, and computer networking.
  • 2017.06 - 2017.09
    Intern
    Worked on IoT projects involving microcontroller programming, development boards, sensors, and motors.

Skills

Python
MATLAB
JavaScript
C/C++
R
TensorFlow
Scikit-Learn
Keras
OpenCV
PySpark
NumPy
Pandas
Matplotlib
SciPy
SQL
Tableau
QGIS
HTML/CSS
Bootstrap
JavaScript
Streamlit
Beautiful Soup
Selenium
Regex
Unit testing
Microcontrollers
Integrated Circuits
Development Boards
Peripheral interfacing
Linux
Windows
Wireshark
Sockets
LaTeX
Microsoft Office
Docker
AWS
Flask
FastAPI
Spark
Dask
Ray
Adobe Illustrator
Photoshop
Blender
AutoCAD
Git
GitHub