Muhammad U.

Top 0.1% Independent researcher specializing in next-generation wireless communications, experts in NS-3, OMNet++, mininet-wifi, contiki cooja simulation tools 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) Published / Accepted ▸ ns3-ntn-toolkit: an integrated ns-3 platform for 6G Non-Terrestrial Networks (SGP4 orbits, 3GPP TR 38.811/38.821 channels, NR, O-RAN RIC, THz links) → IEEE Open Journal of the Communications Society, accepted Oct 2026 (lead author) ▸ VeReMiVNDN: misbehavior-detection dataset + IDS for Vehicular NDN (OMNeT++/Veins/SUMO) → IEEE Access 2026 (DOI 10.1109/ACCESS.2026.3681896) Under review / revision ▸ PI-DRL: physics-informed DRL for 5G NR network-slice orchestration in AGV teleoperation (PPO, OMNeT++/Simu5G) → Springer Wireless Personal Communications, minor revision ▸ ELGS: epoch-linkable group signatures for privacy-preserving misbehavior detection in VANETs (BLS12-381, SPRT, OMNeT++/Veins) → Journal of Communications and Networks ▸ Multi-plane VNDN attack benchmark + evidence-fusion IDS (Dempster-Shafer fusion, FGSM/PGD evasion tests) → Journal of Communications and Networks / Elsevier Vehicular Communicati In preparation ▸ Ephemeris-aware Time-to-Exit Conditional Handover for LEO satellite networks → IEEE T-AES ▸ Predictive authority leasing for O-RAN control of LEO cells with intermittent feeder links → IEEE TNSM ▸ Physics-grounded 300 GHz to 1 THz channel model for non-terrestrial links → IEEE T-TST ▸ TRIDENT-VNDN: trust-driven closed-loop attack mitigation for Vehicular NDN → IEEE Access Open source (GitHub: Muhammaduazir69) ▸ ns3-ntn-toolkit v2.6 (GitHub, Docker image, Figshare) ▸ VeReMiVNDN dataset repository ▸ Pull requests to Checkmarx KICS and DataDog Stratus Red Team ▸ aeroscope.live: ADS-B airspace surveillance platform with an open anomaly dataset 🔹 PhD/Postdoc collaboration ▸ Federated DRL (PPO + FedAvg) for IEEE 802.11ah RAW scheduling in NS-3 ▸ Doppler-aware 3D air-ground O-RAN vehicular framework (OMNeT++/Simu5G/Veins) ▸ Bistatic ISAC sensing for LEO NR-NTN vehicular links (Simu5G NTN extension, SUMO, SGP4) ▸ Multi-agent DRL caching for NDN-IoT on IEEE 802.15.4 (OMNeT++/INET) ▸ OSCORE / EDHOC security for WBAN / IoMT in Contiki-NG / Cooja ▸ SDN + mmWave VANET in NS-3 with DRL transfer learning; SDN V2X in Mininet-WiFi ▸ BB84 QKD Monte Carlo, 5G SDN routing, AODV vs NR-AODV, NTN slicing 🔹 SIMULATION & DEVELOPMENT STACK Network simulators ▸ NS-3 + 5G-LENA (NR), NS3-AI, NS3-gym, NS3-ORAN, NetSimulyzer ▸ OMNeT++ 6.0 / 6.4 + 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, Flower, EPyMARL ▸ MARL: MAPPO, MASAC, QMIX, VDN ▸ Single-agent DRL: DQN, DDQN, PPO, A2C, DDPG, TD3 UAV & robotics ▸ PX4, ArduPilot, MAVLink, QGroundControl, Gazebo, ROS2 Also: C++, Python, MATLAB, CMake, Docker, LaTeX 🔹 WHAT I DELIVER 1. End-to-end wireless simulations: scenario design → results → publication-ready plots 2. DRL / MARL integration via NS3-AI, NS3-gym or Python ↔ C++ (ZeroMQ) bridges 3. Reproduce published baselines, then extend them with new methods 4. Custom protocols: MAC, routing, handover, slicing, trust, IDS 5. Reviewer-revision experiments and IEEE / MDPI / Elsevier / Springer LaTeX 🔹 RESEARCH AREAS ▸ 6G & beyond: NTN (LEO / HAPS), O-RAN, mmWave / THz, ISAC, network slicing, conditional handover ▸ V2X: VANET / VNDN security, misbehavior detection, AGV teleoperation, digital twins ▸ IoT / IoMT security: lightweight crypto, sinkhole / DoS / DDoS / ARP spoofing / SYN flood IDS ▸ Applied cryptography: group signatures, proxy re-encryption, QKD ▸ AI for networking: federated learning, federated DRL, MARL, adversarial robustness 𝗟𝗘𝗧'𝗦 𝗧𝗔𝗟𝗞 I develop and contribute to open-source research tools and participate in collaborative research projects with universities, research institutions, and researchers working on next-generation wireless, intelligent networking, and aerospace communication systems. Dr. Muhammad Uzair