Mamona Sadaf

PROFESSIONAL PROFILE Final-year Electrical Engineering student at NUST seeking opportunities in telecommunications engineering, network optimization, or AI/ML-driven communications. Currently working on intelligent resource allocation in O-RAN architecture, with strong expertise in next-generation telecom technologies, software-defined networking, and machine learning applications for network intelligence. Focused on contributing to 5G/6G RAN engineering, network automation, or telecom R&D roles where I can apply technical skills to advance intelligent, programmable communication systems. EDUCATION BS Electrical Engineering SEECS , Islamabad (2026) INTERNSHIP EXPERIENCE DRONEXT 16-Jun-2025 - 16-Aug-2026 Worked as a Research Intern in the Department of Electrical Engineering at NUST, where I developed and optimized a wireless charging system for hybrid electric vehicles. Implemented advanced control techniques (SMC, ISMC, ISTSMC) and AI-based optimization algorithms in MATLAB/Simulink, improving charging efficiency to approximately 97%. Conducted system modeling, simulations, and documented the results. FINAL YEAR PROJECT Intelligent Resource Allocation in O-RAN The Open Radio Access Network (O-RAN) architecture introduces openness, programmability, and intelligence into the RAN ecosystem. By leveraging AI/ML techniques, O-RAN enables efficient and adaptive resource allocation, improving spectrum utilization, user experience, and energy efficiency. Key components of O-RAN include: • Near-Real-Time RIC (Near-RT RIC): Executes control decisions within ~10 ms to 1 s. • Non-Real-Time RIC (Non-RT RIC): Provides policy guidance, analytics, and AI/ML model training (time scales of seconds to hours). This project focuses on designing and implementing a framework for intelligent resource allocation in O-RAN, which may include use cases such as dynamic spectrum allocation, traffic load balancing, QoS-aware scheduling, or energy-efficient resource management. The solution will be tested and validated in a virtualized O-RAN environment using open-source platforms (e.g., OSC RIC, ONF SD-RAN, or OAI). TECHNICAL EXPERTISE Telecom & Networking Technologies O-RAN, srsRAN, UERANSIM, free5GC, Open5GS, VPP (Vector Packet Processing), MPLS, Linux, Shell Scripting ML & Computer Vision Python, NumPy, Pandas, Scikit-learn, OpenCV, TensorFlow/Keras, PyTorch, ANNs, CNNs Programming Languages Python, C/C++/C#, MATLAB, Simulink Tools and Technologies

Final-year Electrical Engineering student at NUST seeking opportunities in telecommunications engineering, network optimization, or AI/ML-driven communications. Currently working on intelligent resource allocation in O-RAN architecture, with strong expertise in next-generation telecom technologies, software-defined networking, and machine learning applications for network intelligence. Focused on contributing to 5G/6G RAN engineering, network automation, or telecom R&D roles where I can apply technical skills to advance intelligent, programmable communication systems.