PhD student in Computer Science (Robotics), Universidade Federal de São Carlos (UFSCar), Brazil.
Research focus: resource-aware and communication-aware autonomous robotic systems — how latency, packet loss, bandwidth, and compute/sensing limits affect coordination, navigation stability, and system-level performance in UAV swarms. Advised by Prof. Kelen Cristiane Teixeira Vivaldini (UFSCar), co-supervised by Prof. Daniel Bonilla Licea (University Mohammed VI Polytechnic).
Also a teaching assistant for the Autonomous Mobile Robots course at UFSCar (ROS 2 / Gazebo / Nav2 with TurtleBot4).
Co-simulation and intelligent networking for UAV swarms: a three-layer framework combining ns-3 network co-simulation, DRL-based routing (PPO-driven SmartMesh), and federated learning (FedASMU).
| Repo | What it is |
|---|---|
| fanet-mobility-routing | Reproducibility package for a LARS 2026 paper on how realistic UAV mobility affects FANET routing (AODV/OLSR/DSDV vs. random-waypoint baselines) |
| aicore-simulation-mvp | Core PhD simulation framework — multi-UAV Gazebo/ROS 2 layer + Thompson-sampling-based cell selection |
| turtlebot4-ros2-jazzy-guide | TurtleBot4 + ROS 2 Jazzy + Gazebo setup guide used in the Autonomous Mobile Robots course |
| Merging-Method-Review | Dynamic Parallel Graph Cutting Algorithm (DPGCA) for minimum-cut detection in stochastic networks — from my Master's work, published in IEEE Latin America |
ROS 2 Gazebo ns-3 Python C++ PyTorch (DRL/PPO)
- ORCID: 0009-0000-5164-3346
- LinkedIn: mohammad-s-joshan