← Back to cohort

Fateha Kamran

NUST · 2026

fkamrankamran@gmail.com

Phone

923255211392

https://www.linkedin.com/in/fateha-kamran-a1b186339

GitHub

—

Academic

Program

Electrical Engineering

CGPA

3.59

Year

2026

Education

SEECS

Address

HOUSE#279 STREET#55 BLOCK#C-1, B-17, MPCHS , Islamabad , Pakistan

DOB

—

Career

Current role

—

Target role

—

Skills

programming, embedded systems, electronics, automation, IoT, computer vision, critical thinking, communication skills, time management, collaborative projects, image processing, object detection, YOLO, laser tracking, navigation algorithms

Interests / quote

I am an Electrical Engineering student currently in my eighth semester, with a strong foundation in programming, embedded systems, and electronics. I combine analytical thinking with creativity to develop solutions that are both practical and innovative, with a focus on automation, IoT, and computer vision. I am self-reliant, possess strong critical thinking and communication skills, and excel in time management and collaborative projects. Adaptable and driven, I am eager to gain hands-on experience to deepen my understanding of real-world engineering applications and emerging technologies.

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Fateha Kamran
Cell: 923255211392 | Email: fkamrankamran@gmail.com
LinkedIn: https://www.linkedin.com/in/fateha-kamran-a1b186339
Address: HOUSE#279 STREET#55 BLOCK#C-1, B-17, MPCHS , Islamabad , Pakistan
PROFESSIONAL PROFILE
I am an Electrical Engineering student currently in my eighth semester, with a strong foundation in programming, embedded
systems, and electronics. I combine analytical thinking with creativity to develop solutions that are both practical and innovative, with
a focus on automation, IoT, and computer vision. I am self-reliant, possess strong critical thinking and communication skills, and excel
in time management and collaborative projects. Adaptable and driven, I am eager to gain hands-on experience to deepen my
understanding of real-world engineering applications and emerging technologies.
EDUCATION
Electrical Engineering
SEECS , Islamabad , 3.59 (2026)
INTERNSHIP EXPERIENCE
Pakistan Railway Carriage Factory
26-Aug-2024 - 07-Sep-2024
Gained exposure to power shop and TL shop. Observed quality control procedures and industrial safety practices within a large-scale
manufacturing environment.
Pakistan Red Crescent Society:
02-Aug-2024 - 16-Aug-2024
Contributed to community outreach programs focused on health awareness and promoting humanitarian values in local communities.
DroNext Pvt.Ltd. Graduate Research Complex, SEECS NUST:
01-Jun-2025 - 11-Jul-2025
Implemented the computer vision module of a vision-guided drone using YOLO-based object detection for autonomous tracking.
Heavy Industries Taxila:
14-Jul-2025 - 22-Aug-2025
Gained exposure to advanced defense manufacturing processes and engineering practices.
FINAL YEAR PROJECT
TAAK: Vision-Guided Laser Tracking System for Autonomous Drone Missions
This project proposes the development of an innovative autonomous drone-based tracking system capable of precisely following
user-designated objects from a predeﬁned distance. The system integrates a sophisticated image processing pipeline for robust
object detection and identiﬁcation, coupled with a novel 2D laser tracking module. The inherent limitations of a 2D laser system for
full 3D tracking are ingeniously overcome by leveraging the drone's yaw movement to compensate for the third axis, eﬀectively
creating a pseudo-3D tracking capability. The drone will employ advanced navigation algorithms to maintain a constant standoﬀ
distance from the target while continuously adjusting its position and orientation to keep the laser focused. Users will have the
flexibility to assign the target object, allowing for diverse applications ranging from surveillance and monitoring to automated
inspection and dynamic object pursuit. This system aims to oﬀer a cost-eﬀective, highly maneuverable, and versatile solution for
autonomous object tracking, signiﬁcantly enhancing capabilities in scenarios requiring precise and sustained aerial observation.
Future work will focus on optimizing real-time processing, improving tracking robustness in challenging environments, and exploring
potential applications in various industrial and security contexts

AI enrichment

Fateha Kamran is an Electrical Engineering student in her eighth semester with a 3.59 CGPA, specializing in embedded systems, IoT, and computer vision. She has practical experience implementing YOLO-based object detection for autonomous drones and is currently working on a vision-guided laser tracking system for her final year project.

Skills (AI)

["Python", "Computer Vision", "Embedded Systems", "YOLO", "Object Detection", "Autonomous Systems", "Image Processing", "IoT", "Electronics"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 196
Created: 1778168427