Nayab Nazar

Academic

Career

Verbatim text

Nayab Nazar
Cell: 923326285445 |  Email: khanneyaib@gmail.com
LinkedIn: https://www.linkedin.com/in/nayab-n-2a0799270?
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Address: IN THE CARE OF ARMAN PHOTOSTATE MASHRAQI CHOQTARARKHAL DISTRICT SUDHNATI AZADKASHMIR. , Tararkhal , Pakistan
PROFESSIONAL PROFILE
A highly motivated and research driven final year Electrical Engineering student with a minor in Artificial Intelligence, specializing in
autonomous systems, nonlinear control, and edge AI. Possesses hands-on experience in designing and implementing advanced
control algorithms for UAVs/USVs, developing real-time computer vision models for edge deployment, and leading multi-agent robotic
projects for environmental monitoring. Demonstrated ability to conduct end-to-end research, from simulation and optimization to
hardware-in-the-loop testing and field deployment. Have a a strong publication record including conference papers and journal
submissions. Proven leadership through founding technical initiatives, managing interdisciplinary teams, and serving as an elected
student representative. Seeking to apply expertise in robotics, AI, and embedded systems to innovative R&D or engineering roles in
autonomous technology.
EDUCATION
Higher secondary school education
Govt Degree college Tararkhel, AzadKashmir , Tararkhel, Azadkashmir , 1072/1100 (2022)
Electrical Engineering
SEECS(School of Electrical Engineering and Computer Science) NUST-H12 , Islamabad , 3.2 (2026)
INTERNSHIP EXPERIENCE
Research Assistant — Digital Twin Lab, SINES ( NUST)
01-Jul-2025 - 01-Jun-2026
Developing and deploying a fleet of three autonomous Unmanned Surface Vehicles (USVs) for persistent, real-time water quality and
environmental monitoring across rivers, lakes, ponds and coastal waters. The system integrates modular payloads and on-board
sensor-fusion (GPS/IMU/camera/sonar) to deliver high fidelity telemetry. USVs operate under hybrid swarm control architectures—
centralized mission orchestration and leader–follower or leaderless decentralized consensus—enabling cooperative task allocation,
formation, control, adaptive path-planning and robust inter-vehicle coordination. Communications include ground station USV
telemetry and low-latency inter-USV links for real-time coordination; emphasis is placed on fault-tolerance, energy-aware mission
scheduling, hardware-software integration, and hardware-in-the-loop plus field validation. The mission objective is scalable, resilient
autonomous monitoring with extensibility toward advanced maritime sensing and multi-mission applications.It is funded by NESCOM
and RIC NUST.
CSN(Communication Systems and Networking Lab) SEECS-NUST
01-Jun-2025 - 01-Sep-2025
Focused on Edge AI Deployment and UAV Communication Systems ML Model Deployment on Edge: Optimized and deployed real-
time fire and smoke detection models (YOLO/UNet variants) on embedded platforms, using TensorRT for inference acceleration on
NVIDIA Jetson devices. Edge Computing Pipeline: Developed a full sensor-processing pipeline on UAVs, integrating camera feeds
with onboard AI inference for immediate threat detection without cloud dependency. Communication System Testing: Assisted in
testing and implementing robust communication protocols between UAVs and ground stations to ensure stable data transmission in
remote environments. System Integration Support: Contributed to integrating the AI detection module with the ground control
software and alerting system used in the lab’s ongoing UAV projects.
Undergraduate Researcher — Graduate Research Complex, SEECS – NUST
15-Sep-2024 - 15-Sep-2025
Conducting advanced research on nonlinear control of underactuated bicopter UAVs, focusing on robust and optimized controller
design. Authored a research paper titled “Advanced Optimized Nonlinear Control of Bicopter UAVs” currently under peer review.

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