PhD Scholar at Sir Syed CASE Institute of Technology, Islamabad, Pakistan
Muhammad Usama Zahid is a Systems Engineer with a strong background in electronic warfare, signal processing, and artificial intelligence. Currently working with Scientific Engineering & Technology Services in Islamabad, he has a proven track record in system integration and development. 📈
Education📚
- MS in Electrical Engineering (DSP): University of Engineering and Technology (UET), Taxila, July 2018
- BS in Electrical Engineering (Electronics): Air University, Islamabad, June 2010
Professional Experience🏛️
- Systems Engineer: Scientific Engineering & Technology Services, Islamabad (Mar 2019 – Present)
- Led teams in system integration and performance optimization for the Pakistan Army.
- Developed RF direction finding algorithms and validation applications.
- Team Lead (C2): Scientific Engineering & Technology Services (Dec 2015 – Mar 2019)
- Supervised development of C2 applications and led successful clearance of system milestones.
- Designed machine learning-based RF fingerprinting modules and automatic modulation classification systems.
- Application Engineer: Scientific Engineering & Technology Services (Jan 2011 – Dec 2015)
- Developed and deployed RF direction finding algorithms and real-time frequency hopping analyzers.
- SITE Engineer: Jaffer Brothers (Private) Limited, Islamabad (May 2010 – Jan 2011)
- Executed network deployment and access control system installations.
Research Interest🏆
- Electronic Warfare
- Signal Processing Applications
- Artificial Intelligence
- Algorithms Design & Development
- Data Analytics
Award and Honor
- Chairman Certificate of Appreciation
- DG’s Certificate of Appreciation
- DG’s Commendation Card
- Chairman PEC Appreciation Card
Achievements 🏆
- Developed RF Direction Finding Algorithms: Engineered a calibration table generation process and validation application for airborne antenna arrays. 📡
- Led System Integration Projects: Directed teams in integrating complex systems for the Pakistan Army, ensuring compliance with operational requirements. 🛠️
- Machine Learning & Deep Learning Innovations: Designed and developed machine learning-based radio frequency fingerprinting modules and deep learning-based automatic modulation classification systems. 🤖
- Successful System Clearances: Managed the successful clearance of key project milestones including Preliminary Design Review (PDR), Critical Design Review (CDR), Factory Acceptance Test (FAT), Integration Test (FIT), and System Acceptance Test (SAT). 🎯
- Developed Real-Time Frequency Hopping Analyzers: Created and deployed algorithms for real-time frequency hopping analysis and gunshot detection and localization systems. 📊
- Automated Water Purification Systems: Designed and automated water purification systems for shipborne platforms. 🚢
- Integrated Network Systems: Executed network deployment and integration of IP-based devices and cameras for Jaffer Brothers. 🌐
- Authored Notable Publications: Contributed to research on radio frequency fingerprinting and emitter identification with publications in IEEE Signal Processing Letters and other journals. 📚
- “Specific Emitter Identification Based on Multi-Scale Multi-Dimensional Approximate Entropy”
IEEE Signal Processing Letters, 2024 📜
Citations: 1 📈
- “Radio Frequency Fingerprint Extraction Based on Multiscale Approximate Entropy”
Physical Communication, 2022 📘
Citations: 4 📈
