Muhammad Hamza Shafiq
FAST
· 2025
·
121-0917
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
School of Computing
CGPA
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Year
2025
Education
School of Computing
Address
Islamabad
DOB
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Career
Current role
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Target role
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Skills
FPGA, VIVADO, KiCAD, PlatformIO, Visual Studio Code, MATLAB, GNC, ARM Processor, Sensor Fusion, Trajectory Optimization
Verbatim text
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FPGA Based Flight Controller for Autonomous Quadcopter This project introduces an FPGA-based flight controller for real-time processing and autonomous drone navigation. Leveraging the cutting-edge Xilinx Zynq-7000 Soc and the innovative Zynqberry platform, the system unites the acceleration of programmable logic (PL) with the versatility of an ARM processor. The Guidance, Navigation, and Control (GNC) architecture employs a heterogeneous computing approach: core control algorithms run on the ARM processor, while computationally intensive functions-such as sensor fusion and trajectory optimization-are offloaded to the FPGA fabric. Engineered for high-performance UAV applications, this solution delivers low latency, enhanced autonomy, and energy-efficient computation. It is ideally suited for companies at the forefront of FPGA-based aerospace, robotics, and embedded GNC system development, setting a new benchmark for next-generation flight control innovation. Su p e rvi s or: D r . Sheh zad S a leem Team memb era: Hamza Shaftq 121-092.7 Abdullah w -1m IZl.-o910 W_.q R•h an 121-oeoa FPGA- BASED FLIGHT CONTROLLER FOR AUTONOMOUS OUADCOPTER W HAT ARE W DOIN G? Th ia pro j e ct a c h ie v e • a complete real t im e Syatem on Chip d e • l&n for a Gui d a n c e . Navigat ion & Contro l (GNC) a lgo rtthm o f a Q u adcopte r. T h e GiN C • tao Is p a rtitione d for Its control flow - • I mapplna on ARM core a nd computationa lly Inte n sive part - h / w a cce le ra t o r o n FPGA fabric a chlev ln p Nclalo n flight cont:rols G NC D esign & Ana lys is GNC AR M co d e A ccel e r a tor D esi g n T e le m e try MATLAB@ !vADO Visua l~ Code Des ign & Deve lopment Environments Technology Used: FPGA, VIVADO, KiCAD, PlatformlO, Visual Studio Code, MATLAB. Supervisor Name: Dr. Shehzad Saleem Group Members: Muhammad Hamza Shafiq (i21- 0917) Muhammad Abdullah Waseem (i21 - 0910) Muhammad Wasiq Rehan (i21- 0908) FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Muhammad Hamza Shafiq is a student at the School of Computing, FAST NUCES, specializing in embedded systems and FPGA development. He led a team project to design an FPGA-based flight controller for autonomous quadcopters using Xilinx Zynq-7000 SoC and heterogeneous computing architectures.
Skills (AI)
["FPGA", "Xilinx Zynq-7000", "Vivado", "KiCAD", "MATLAB", "Embedded Systems", "GNC Algorithms", "Sensor Fusion", "PlatformIO", "Visual Studio Code"]
Status: ai_done
Provenance
Source file: FAST School of Electrical Engineering - Graduate Directory 2025.pdfFrom job #18 page 40
Created: 1778140415