AQSA ALI
Okara
Summary
Research-focused M.Phil. Mathematics graduate specializing in wireless network optimization, machine learning, and green communications. Experienced in 6G mathematical modeling, IEEE international conference publications, and AI-driven telecom research.
Overview
2
2
years of professional experience
Work History
M.Phil. Thesis Project
University of Okara
10.2023 - 11.2025
- Mathematical modeling of 6G wireless networks with ML-based optimization for RIS-enabled systems.where Gradient Boosting Machine (GBM) achieved the best results with a highest accuracy of 97.80%
- Developed simulation models for signal coverage, latency, and energy efficiency in ISAC networks.
- Identified that a bandwidth of 20 MHz achieved the highest throughput, while wider bandwidths consistently enhanced throughput performance.
- Performed data analysis and visualization using Python and MATLAB
Education
Master of Philosophy (M.Phil.) - Mathematics
University of Okara
Okara, Pakistan11.2025
Bs(Hons) Mathematics - Mathematics
University of Okara
Okara09.2018
Skills
Linear Algebra
Certifications And Conferences
- Certificate of Contribution, IEEE International Conference on Communications (ICC 2025), awarded for technical paper presentation in AI-for-Wireless track.
- Certificate of Participation, 4th International Conference on Mathematical Empowerment and Future Trends, 11/20/25 - 11/22/25, organized by the Department of Mathematics, Government College University Faisalabad and Government College Women University Faisalabad.
Technical Tools
- Python (NumPy, Scikit-learn, Matplotlib)
- MATLAB
- Git hub
- LaTeX
- Google Colab
- Excel
- PowerPoint
- Google Sheets
Publications
Electric Semantic Short Packet Communication: A Green ISAC Perspective., IEEE International Conference on Communications (ICC 2025), 10.1109/ICC52391.2025.11161246, Dr. Haijun Liao, Ms. Wenxuan Che, Dr. Zhenyu Zhou, Prof. Xiaoyan Wang, Dr. Aqsa Ali, Prof. Mohsen Guizani
Research
M.Phil. Thesis Project, University of Okara, 10/01/23 - 11/01/25, Mathematical modeling of 6G wireless networks with ML-based optimization for RIS-enabled systems where Gradient Boosting Machine (GBM) achieved the best results with a highest accuracy of 97.80%, Developed simulation models for signal coverage, latency, and energy efficiency in ISAC networks., Identified that a bandwidth of 20 MHz achieved the highest throughput, while wider bandwidths consistently enhanced throughput performance., Performed data analysis and visualization using Python and MATLAB.
Timeline
M.Phil. Thesis Project
University of Okara
10.2023 - 11.2025
Bs(Hons) Mathematics - Mathematics
University of Okara
Master of Philosophy (M.Phil.) - Mathematics
University of Okara