Independent researcher specializing in next-generation wireless communications, with a focus on 6G Non-Terrestrial Networks (NTN), O-RAN, 𝗩𝟮𝗫/𝗩𝗔𝗡𝗘𝗧, Named Data Network(NDN), 𝗜𝗼𝗧/𝗜𝗼𝗠𝗧 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗼𝗿 𝗗𝗥𝗟/𝗠𝗔𝗥𝗟 𝗳𝗼𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, intelligent network control, and advanced wireless simulation with hands-on ns-3/OMNeT++ development and open-source research contributions. His work focuses on developing simulation frameworks and measurement-driven methods for evaluating emerging communication architectures.

🔹 𝗥𝗘𝗖𝗘𝗡𝗧 𝗪𝗢𝗥𝗞 (𝟮𝟬𝟮𝟱 – 𝟮𝟬𝟮𝟲)

𝗢𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝘁𝗼𝗼𝗹𝗸𝗶𝘁𝘀 (GitHub: Muhammaduazir69)

▸ 𝗡𝗦𝟯-𝗡𝗧𝗡-𝗧𝗼𝗼𝗹𝗸𝗶𝘁 — end-to-end 6G Non-Terrestrial Network stack for NS-3 ▸ 𝗡𝗧𝗡-𝗖𝗛𝗢-𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 — 3GPP Rel-17/18 Conditional Handover with TTE-aware mechanisms ▸ 𝗢-𝗥𝗔𝗡 𝗡𝗧𝗡 𝗺𝗼𝗱𝘂𝗹𝗲 — O-RAN architecture extended to satellite/aerial segments

𝗟𝗶𝘃𝗲 𝘀𝗶𝗱𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀

▸ aeroscope.live — public ADS-B flight tracker (React / Vite)

🔹 𝗦𝗜𝗠𝗨𝗟𝗔𝗧𝗜𝗢𝗡 & 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗠𝗘𝗡𝗧 𝗦𝗧𝗔𝗖𝗞

𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗼𝗿𝘀 ▸ NS-3 + 5G-LENA (NR), NS3-AI, NS3-gym, NS3-ORAN, NetSimulyzer ▸ OMNeT++ 6.0.3 + INET, Simu5G, Veins, SUMO, FLoRa, libPTP ▸ Mininet / Mininet-WiFi with RYU OpenFlow controller ▸ Contiki-NG / Cooja for IoT/IoMT (RPL OF0 & MRHOF, CoAP, OSCORE, EDHOC, MQTT)

𝗔𝗜 / 𝗠𝗟 ▸ PyTorch, LibTorch, TensorFlow ▸ MARL: MAPPO, MASAC, QMIX, VDN ▸ Single-agent DRL: DQN, DDQN, PPO, DDPG, TD3 ▸ Libraries: EPyMARL, PantheonRL, custom MARL forks

𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀, 𝗨𝗔𝗩 & 𝘀𝗲𝗻𝘀𝗶𝗻𝗴 ▸ NVIDIA Isaac Sim, Omniverse, Gazebo, ROS2, MoveIt ▸ Jetson Nano, DeepStream ▸ PX4, ArduPilot, MAVLink, QGroundControl (flight-control + mission-planning modifications) ▸ mmWave radar, SDR, LiDAR/UART integration

𝗔𝗹𝘀𝗼: CMake, Docker, C++, Python, MATLAB

🔹 𝗥𝗘𝗦𝗘𝗔𝗥𝗖𝗛 𝗔𝗥𝗘𝗔𝗦 𝗜 𝗣𝗨𝗕𝗟𝗜𝗦𝗛 𝗜𝗡

▸ 𝟲𝗚 & 𝗯𝗲𝘆𝗼𝗻𝗱: NTN (LEO / HAPS), O-RAN, mmWave / THz, MIMO, beamforming, network slicing, TDD/FDD ▸ 𝗩𝟮𝗫 / 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝘃𝗲𝗵𝗶𝗰𝗹𝗲𝘀: Simu5G VANETs, 5G-LENA NR V2V with obstacle detection, VNDN security, AGV teleoperation, digital twins ▸ 𝗜𝗼𝗧 / 𝗜𝗼𝗠𝗧 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆: lightweight crypto in Contiki-NG, HL7-compliant multi-level encryption, sinkhole / DoS / DDoS / ARP spoofing / SYN flood detection with hybrid IDS ▸ 𝗗𝗿𝗼𝗻𝗲𝘀 & 𝗮𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲: PX4 / ArduPilot, MAVLink, Gazebo UAV scenarios, network-sliced UAV resource allocation ▸ 𝗔𝗜 𝗳𝗼𝗿 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: federated learning (Flower + NS-3), digital-twin-enabled MADRL, GAT-based MARL for Industrial IoT

🔹 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦

▸ 𝗢𝗥𝗖𝗜𝗗: 0009-0002-4104-2680 ▸ 𝗚𝗶𝘁𝗛𝘂𝗯: Muhammaduazir69