Open to opportunities & collaborations

Research · Engineering · Data & AI · Software

Milad
Tatar Mamaghani

Research scientist and engineer working across wireless systems, data science, applied AI, and software development.

Milad Tatar Mamaghani
From ideas to working systems.

What I work on

A connected set of skills.

Explore my toolkit

Selected work

Ideas, put into practice.

All projects

About Me

I’m Milad, originally from Mamaqan, a town near Tabriz in northwestern Iran, and now based in Sydney, Australia. I completed my Ph.D. in Electrical Engineering at Monash University and later worked as a Postdoctoral Research Fellow at the Australian National University.

My work sits at the intersection of research, engineering, data science, and software development. In wireless communications, I have worked on physical-layer security, non-terrestrial networks, integrated sensing and communications, MIMO beamforming, reconfigurable intelligent surfaces, and resource allocation for beyond-5G and 6G networks. I draw on signal processing, optimization, and simulation to understand complex systems, evaluate design trade-offs, and develop practical solutions.

I also work with data analytics, machine learning, and applied AI, with interests spanning reinforcement learning, computer vision, and intelligent automation. I use Python, MATLAB, and scientific computing tools to explore data, build models, and test ideas. My software interests extend from research code and simulation frameworks to AI tools, fintech projects, and consumer applications. I enjoy turning complex technical ideas into software that is useful, testable, and clear to work with.

Alongside technical work, I have taught engineering and computing subjects, supervised student projects, and contributed as a reviewer, technical program committee member, and conference session chair. I value collaboration across disciplines and enjoy connecting analytical thinking with hands-on development. Outside work, I enjoy hiking, swimming, and overthinking my next chess moves.

Education

Monash University
Doctor of Philosophy (PhD) in Engineering
Monash University, Melbourne, Australia · Jan. 2020–Dec. 2022
Pathway: Transferred from Master of Engineering Science (Research) to PhD (Jan. 2019–Dec. 2020)
Amirkabir University of Technology
Bachelor of Science (BSc) in Electrical — Communications Engineering
Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran · Sep. 2012–Oct. 2016
Double degree: B.Sc. in Control Engineering with extra course credits (Feb. 2018).

IEEE JSAC Sep 2025
Models ISAC security as a Stackelberg game, tackling via a hybrid SCA-DRL optimisation approach; published in the highest-impact communications journal (IF 17.2).
IEEE TWC Jul 2024
Jointly optimizes UAV 3D trajectory and power usage with low-complexity algorithm for MTC-constrained networks.
IEEE ICC Jun 2024 Best Paper
IEEE ICC Best Paper Award — top 0.6% of 2,364 submissions. Introduces average information leakage as a new FBL security metric over fading channels.

All publications →

Core Skills

Programming & Tools
Python MATLAB C/C++ Git/GitHub Docker Linux LaTeX
Scientific Computing & Optimization
NumPy SciPy Pandas Matplotlib CVXPY Simulation
Machine Learning & AI
PyTorch TensorFlow Keras Scikit-learn Deep Reinforcement Learning RLHF Evaluation
Wireless Communications
5G/NR 3GPP IEEE 802.11 MIMO/Beamforming OFDM RF Propagation Link-Budget Analysis
Signal Processing & RF Systems
DSP Spectral Analysis Channel Estimation Detection Theory SDR GNU Radio USRP
Languages
English (Fluent) Persian (Native) Azeri (Native) Turkish (Intermediate)

News

Jun 2026
📚 Our new work on ISAC submitted to IEEE TWC.

Apr 2026
🚀 Personal website relaunched.

Mar 2026
📚 Our new work submitted to IEEE TCOM.

Oct 2025
📚 Our IoT-J paper featured in IEEE ComSoc Best Readings

Sep 2025
📚 Our paper published in IEEE JSAC

2024
🇦🇺 Received Australian Global Talent.

Jun 2024
🏆 Received Best Paper Award at IEEE ICC 2024.

Sep 2024
🏆 Received Best Paper Award by IEEE ComSoc SPCC Technical Committee.