Sheza.

Sheza Abbas Naqvi

Robotics Engineer | Autonomous UAVs & SLAM | Edge AI Optimization

Overview

Robotics engineer and researcher focused on autonomous systems, SLAM, and edge-deployed AI. Proven track record in developing high-precision UAV-based phenotyping (97.6% IoU) and optimizing deep learning models for low-latency edge performance (70%+ reduction). Expert in ROS2, path planning, and multi-agent systems.

Islamabad, Pakistan

Experience

2026 – Present

PART_TIME

Teaching Assistant – AI for Robotics (AI 641 - Graduate Level)

Lahore University of Management Sciences (LUMS)

Lahore, Pakistan

Key Responsibilities: • Orchestrated the assessment framework for graduate-level implementations of path planning and SLAM. • Facilitated practical lab execution for complex robotic systems, providing technical support for ROS2-based stacks.

•Orchestrated the assessment framework for graduate-level implementations of path planning and SLAM.

•Facilitated practical lab execution for complex robotic systems, providing technical support for ROS2-based stacks.

ROS2Path PlanningSLAM

2026 – May 2026

WORK

Teaching Assistant – Junior Design Studio Robotics (EE3002)

Lahore University of Management Sciences (LUMS)

Lahore, Pakistan

Redesigned physical lab modules centered on robotic manipulation, kinematics, and ROS integration. Guided incoming cohorts through hands-on hardware-software integration for mobile platforms.

•Redesigned physical lab modules centered on robotic manipulation, kinematics, and ROS integration.

•Guided incoming cohorts through hands-on hardware-software integration for mobile platforms.

Key Achievements

→Independently designed and led 3 weeks of lab modules from scratch, focusing on robotic manipulation, kinematics, and ROS integration.

→Mentored a cohort of 20 students, enabling them to successfully pursue advanced course projects in robotic manipulation.

→Improved the lab ecosystem by introducing new equipment-handling protocols that increased student autonomy and project complexity.

→Mentored 20 students.

→Led 3 weeks of independent curriculum.

ROSRobotic ManipulationKinematics

Jun 2025 – May 2026

WORK

Research Assistant - Autonomous UAV-Based 3D Phenotyping & Crop Mapping

LUMS Center for Water Informatics (WIT)

Lahore, Pakistan

Executed a multi-month autonomous temporal monitoring campaign over a wheat field, deploying a custom UAV equipped with a Livox MID360 LiDAR, Arducam B0495 RGB camera, Pixhawk 6C, and Odroid N2+.

•Field Campaign & Hardware: Executed a multi-month autonomous temporal monitoring campaign over a wheat field, deploying a custom UAV equipped with a Livox MID360 LiDAR, Arducam B0495 RGB camera, Pixhawk 6C, and Odroid N2+.

•Robust LiDAR Mapping: Processed 13 temporal LiDAR point clouds using FAST-LIVO2, implementing RANSAC-based ground normalization and field-aware two-stage segmentation to consistently track plot topologies.

•Multi-Date Structural Alignment: Developed a correspondence-guided planar registration and overlap-restricted height differencing pipeline, achieving a median shared-support IoU of 97.6% and tracking 98.7 cm of seasonal canopy growth.

•Quantitative Validation: Validated LiDAR-derived canopy height against manual field observations, achieving an MAE of 5.42 cm, RMSE of 6.50 cm, and highly accurate tracking across 24 plot-date observations.

•RGB Spectral Analysis: Generated RGB orthomosaics and automatically partitioned indexed plots to extract canopy vegetation indices (ExG, VARI, GLI) for multimodal temporal phenotyping.

Key Achievements

→Achieved a median shared-support IoU of 97.6% in structural alignment.

→Tracked 98.7 cm of seasonal canopy growth.

→Validated LiDAR-derived canopy height with an MAE of 5.42 cm and RMSE of 6.50 cm across 24 plot-date observations.

C++PythonROS2FAST-LIVO2RANSACOpenCVArduPilotLivox MID360 LiDARArducam B0495 RGB cameraPixhawk 6COdroid N2+

Sep 2025 – Dec 2025

WORK

Teaching Assistant – Communication Systems (EE380)

Lahore University of Management Sciences (LUMS)

Lahore, Pakistan

Key Responsibilities: • Designed and graded problem sets focused on core signal processing and communication theory. • Conducted weekly technical tutorials for 30+ students to reinforce theoretical mathematical frameworks.

•Designed and graded problem sets focused on core signal processing and communication theory.

•Conducted weekly technical tutorials for 30+ students to reinforce theoretical mathematical frameworks.

Key Achievements

→Reinforced theoretical frameworks for 30+ students.

Signal ProcessingCommunication TheoryCommunication Systems

Project Portfolio

ACADEMIC

Present

Visual-to-Motion Robotic Drawing using ROS and OpenCV

Developer

Developed a vision-guided sketching system enabling an Interbotix WidowX 250s arm to execute dynamic drawing tasks via MoveIt. Performed Hand-Eye extrinsic calibration between a RealSense D455 and the robotic arm using projective geometry to map visual features to the robot’s coordinate frame.

ROSMoveItOpenCVPythonRVizRealSense D455Interbotix WidowX 250s

PERSONAL

Present

Robust Real-Time Deep Learning Prediction on Edge Devices

Lead Developer

Developed a dual-head ResNet-based deep learning system for simultaneous regression and classification tasks. Integrated Bayesian inference with Monte Carlo dropout to quantify predictive uncertainty for robust edge deployment, managing noisy data streams. Optimized model for in-browser deployment via TensorFlow.js, enabling real-time, low-latency inference.

TensorFlowKerasPythonResNetNeural NetworksTensorFlow.jsBayesian inference

PERSONAL

Present

Stochastic Utility-Aware Multi-Robot Task Allocation

Developer

Designed a warehouse coordination system combining Stochastic Utility Allocation (SCOBA) with Priority-Based Conflict-Based Search (PM-CBS). Implemented EKF localization on topometric region graphs to robustly track trajectories under sensing noise. Achieved zero collisions and superior utility efficiency compared to Greedy A* and Q-learning baselines.

PythonPath Planning AlgorithmsEKFSimulationSCoBAPM-CBSTopometric Mapping

ACADEMIC

Present

Safe Multi-Agent RL for Cooperative Navigation

Developer

Developed a decentralized navigation framework combining Soft Actor-Critic (SAC) with Model Predictive Control (MPC) safety shields to guarantee constraint satisfaction. Synthesized a custom Python simulation environment to train agents in obstacle-dense scenarios, achieving an 89.4% success rate. Implemented a three-stage curriculum learning strategy for progressive obstacle reasoning.

PythonPyTorchACADOS (MPC)NumPy

ACADEMIC

Present

Robust Real-Time Age & Gender Prediction on Edge Devices

Developer

Developed a dual-head ResNet-based deep learning system for simultaneous age regression and gender classification. Integrated Bayesian inference with Monte Carlo dropout to quantify predictive uncertainty for robust edge deployment. Optimized model for in-browser deployment via TensorFlow.js, enabling real-time, low-latency inference.

TensorFlowKerasPythonResNetTensorFlow.js

PERSONAL

Present

Autonomous UAV-Based Crop Growth Mapping - Senior Year Project

Lead Researcher/Engineer

Hardware Architecture: Deployed a custom 500mm carbon-fiber quadrotor, integrating a Livox Mid-360 LiDAR and Odroid N2+ payload. Designed and troubleshooted custom electrical power distribution systems and wiring schematics for high-heat field operations. Control System: Engineered a MAVROS-based state estimation bridge to provide high-frequency local position feedback ("Virtual GPS") to the Pixhawk 6C controller, enabling stable autonomous flight in GPS-denied environments. Validation & Ground Truth: Designed an extrinsic calibration system using AprilTags to quantify SLAM drift, serving as a field-deployable proxy for Motion Capture ground truth. Embedded Optimization: Ported and optimized the FAST-LIVO2 stack for ARM64 (Odroid) architecture, managing thread allocation to guarantee real-time 50Hz state estimation performance. Digital Twin Generation: Constructed high-fidelity 4D spatiotemporal digital twins by processing multi-temporal datasets through Agisoft Metashape and Open3D for granular volumetric analysis of crop health.

C++PythonROS2FAST-LIVO2ArduPilotOpenCVLinuxHardware-in-the-Loop (HIL)Agisoft MetashapeOpen3DPixhawk 6CLivox Mid-360 LiDAROdroid N2+

Education

Sep 2022 – May 2026

Bachelor of Science

Lahore University of Management Sciences (LUMS)Specialization in Electrical Engineering | Minor in Computer Science

Thesis: Autonomous UAV-Based Crop Growth Mapping

Relevant Coursework

Mobile RoboticsJunior Design Studio (Robotics)Dynamic Programming and Reinforcement LearningMachine LearningComputer VisionDeep LearningCommunication SystemsFeedback Control SystemsSignals and Systems

Impact & Recognition

Professional Certifications

ETS

TOEFL iBT

ETS

TOEFL iBT (Score: 110)

Vision & Goals

Core Drivers

What are my motivations

Robotics Engineering

Autonomous UAVs

Computer Vision

SLAM Systems

Precision Agriculture

Reinforcement Learning

Multi-Agent Systems

Path Planning

AgTech Startups

LiDAR Fusion

Research & Development

Skills & Interests

Python

TECHNICAL

MAVROS

TECHNICAL

Computer Vision

TECHNICAL

ROS/ROS2

TECHNICAL

Deep Learning

TECHNICAL

LiDAR-Inertial Fusion

TECHNICAL

Pixhawk 6C

TOOL

C++

TECHNICAL

PyTorch

TECHNICAL

TensorFlow

TECHNICAL

Multi-Agent Reinforcement Learning (MARL)

TECHNICAL

ArduPilot

TECHNICAL

FAST-LIVO2

TECHNICAL

RANSAC

TECHNICAL

Git

TOOL

Linux

TECHNICAL

FAST-LIO

TECHNICAL

LIO-SAM

TECHNICAL

MAVLink

TECHNICAL

Odroid N2+

TOOL

Raspberry Pi

TOOL

Livox Mid-360 LiDAR

TOOL

Intel RealSense D455

TOOL

OpenCV

TECHNICAL

Open3D

TOOL

PX4

TECHNICAL

UART/I2C/Serial

TECHNICAL

Keras

TECHNICAL

Docker

TOOL

MATLAB

TECHNICAL

Agisoft Metashape

TOOL

SQL

TECHNICAL

Hugo

TOOL

Topometric Mapping

TECHNICAL

Stochastic Scheduling

TECHNICAL

Communication

Working across multiple languages, enabling global collaboration and clear technical outreach.

English

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