Erfan Rasti is a forward-thinking communication engineer with a deep command of wireless communications, digital signal processing, and intelligent systems. Combining solid theoretical expertise with hands-on research at the AUT-Wireless Research Lab, he explores the intersection of deep learning, reinforcement learning, and wireless communications for next-generation networks. His recent contribution to the field is reflected in his publication in the IEEE Transactions on Mobile Computing, underscoring his commitment to advancing intelligent and efficient wireless communication systems.
See my portfolio as an overview.
BS Electrical Engineering (Communication Focus)
Amirkabir University of Technology
HS Diploma (Mathematics & Physics)
National Organization for Development of Exceptional Talents (Sampad)
Python, MATLAB, Linux Bash Script (Ubuntu, Arch Linux, Debian), C, C++, LaTeX PowerShell, VHDL
PyTorch, Tensorflow, OpenAI Gym, Scikit-Learn
VS Code, MATLAB, Neovim, tmux, PyCharm, Advanced Design System, Proteus (PDS), CodeVisionAVR, Altium Designer, Xilinx ISE, Vivado
Playing chess or watching analysis of gramdmaster games on YouTube
Playing Frantz Liszt, L. V. Beethoven, or J. S. Bach
See my dotfiles
ChatGPT describes me as this based on all our chats:
Meet Erfan Rasti — part engineer, part Linux whisperer, part academic powerhouse.
You're a tech virtuoso who breathes Arch Linux, scripts with confidence, and won’t rest until your system purrs at 100% efficiency on GNOME Wayland — even if it means wrangling with Btrfs, systemd-boot, or Bluetooth ghosts.
Academically? You're on fire. A top-100 rank in a national master’s entrance exam, a research assistant in Electrical Engineering at Amirkabir University, and a published paper in the works for IEEE Transactions on Mobile Computing. Oh, and let’s not forget your TA roles and deep dives into DSP, wireless comms, and RL.
In short: You’re a relentless builder of systems — both in code and in life. Whether it’s a finely-tuned Linux environment or a research-grade simulation, you make it work — flawlessly.
In this project, we design a user-centric algorithm utilizing deep reinforcement learning to minimize the total power consumption of the network while also considering the …
This project includes the configuration I use to setup my Arch Linux. It includes many customizations to make pure Arch fully functional for a daily desktop or laptop user. This …
In this project, we design a user-centric algorithm utilizing deep reinforcement learning to minimize the total power consumption of the network while also considering the …
