Hamza Irshad Bhatti

Academic

Career

Verbatim text

Hamza Irshad Bhatti
Cell: 923054869212 |  Email: hamzahmr10@gmail.com
LinkedIn: https://www.linkedin.com/in/hamza-irshad-bhatti
Address: HOUSE NO. 04 STREET NO. 11(NORTH) GHANG ROAD , Lahore , Pakistan
PROFESSIONAL PROFILE
Motivated Electrical Engineering undergraduate at the National University of Sciences and Technology (NUST) with strong
academic performance and hands-on experience in wireless communication, computer networks, and next-generation
5G/6G technologies. Experienced in research-driven environments, with practical exposure to non-orthogonal multiple access
(NOMA), signal interference cancellation, deep reinforcement learning for wireless systems, and software-defined networking. Skilled
in C/C++, Python, MATLAB, NS2, Mininet, and network simulation and modeling tools. Demonstrated ability to design and implement
innovative engineering solutions through academic and research projects, complemented by proven leadership, teamwork, and
communication skills. Aspires to contribute to advanced research and industry development in wireless communications and
intelligent networking systems.
EDUCATION
Bachelors in Electrical Engineering
School of Electrical Engineering & Computer Science (SEECS) , Islamabad , 3.43/4.00 (2026)
INTERNSHIP EXPERIENCE
Information Processing & Transmission (IPT) Lab, SEECS
20-Jun-2025 - 19-Apr-2026
I conducted research on NOMA-based Backscatter Communication (BackCom) to enhance network performance. In addition I
worked on improving Signal Interference Cancellation (SIC) and Channel State Information (CSI) through Deep Reinforcement Learning (DRL) algorithms for robust and efficient wireless systems and publised a research paper in IEEE WCNC conference 2026.
Optical Networks and Technologies (ONT) Lab, SEECS
19-Jul-2025 - 18-Sep-2025
I worked on designing and testing Layer-3 network solutions using Mininet. I participated in hands-on projects and on advanced
networking protocols and topologies. I explored emerging networking technologies and gained practical insights into the academic
research process.
XFlow Research Inc.
21-Jun-2025 - 01-Jan-2026
I contributed to next-generation 5G/6G technology development, focusing on network optimization and innovation. I actively assisted
in projects involving SONiC Network Operating System (NOS) and advanced software-defined networking (SDN) concepts. I
acquired deep understanding of future mobile network architectures and industry research practices.
FINAL YEAR PROJECT
Reinforcement Learning-based Performance Optimization of BackScatter Systems with Practical Constraints
This project focuses on optimizing the uplink performance of a two-user NOMA-assisted backscatter communication (BackCom) system for IoT networks. It studies how practical system impairments, specifically imperfect successive interference cancellation
(SIC) and inaccurate channel state information (CSI), affect system performance. The project formulates a sum-rate maximization problem under quality-of-service and fairness constraints and uses a Deep Deterministic Policy Gradient (DDPG)–based deep reinforcement learning algorithm to learn an adaptive power-allocation policy. The performance of the proposed learning-based approach is compared with exhaustive search methods under both perfect and imperfect SIC and CSI conditions to evaluate
robustness, achievable sum rate, and computational complexity.

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