Research and Development Engineer's repositories
orion
An interference-aware scheduler for fine-grained GPU sharing
MastersThesis
A proof-of-concept implementation of Route Selection on Clustered Cognitive Radio Networks (CRNs) on USRP N200/ GNU Radio. In CRNs, secondary user (SU) explore and exploit spectrum in the absence of primary users (PUs). The SU nodes in the topology are static and divided into three main classes source node, intermediate nodes and destination node.
MusaviMariam
Config files for my GitHub profile.
SeGraM
Source code for the software implementation of SeGraM proposed in our ISCA 2022 paper: Senol Cali et. al., "SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping" at https://people.inf.ethz.ch/omutlu/pub/SeGraM_genomic-sequence-mapping-universal-accelerator_isca22.pdf
mgen
Multi-Generator (MGEN) traffic generation tool
Youtube-Code-Repository
Repository for most of the code from my YouTube channel
STM32-Tutorials
This folder contains all my STM32 programming projects shared on YouTube
sionna
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
rrm-slice-rl
Code containing RRM simulation using RL in a scenario with RAN slicing.
kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Embedded-C
Repository for udemy Embedded-C course
STM32_tutorials
STM32 tutorial with STM32Cube and Keil MDK-ARM
MARL-grid
My solution for a MARL problem on a Grid Environment with Q-tables.
6G-Edge-Computing-Simulation-Deployment
Simulation code for EdgeGO -- A resource sharing framework for 6G edge computing in massive IoT systems, https://ieeexplore.ieee.org/document/9375469/
6G-Resource-Allocation-MILP
A set of mixed-integer linear programs designed to reduce the CO2 emissions of a simulated 6G cloud-fog network architecture. Designed in AMPL.
ME5406_Course_Project
Part 1 project for ME5406 in NUS
gym
A toolkit for developing and comparing reinforcement learning algorithms.
DRL-wireless-networks
Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events
toward-e2e-6g-terahertz-networks
Code for M. Polese, J. Jornet, T. Melodia, M. Zorzi, “Toward End-to-End, Full-Stack 6G Terahertz Networks”, https://arxiv.org/abs/2005.07989, 2020.
DL-Massive-MIMO
DL tackling Massive-MIMO problems
wireless-simulator-ua-pc
Wireless Cellular Simulator for Radio Resource Management
CortexMxProgramming
Repository for Udemy course : Embedded System Programming on ARM Cortex Mx
Resource-Allocation-using-deeprl
Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks