Hi, I’m Adeel, an aerospace and electrical engineer currently pursuing an MEng in Electrical Engineering at the Intelligent Systems Lab, Memorial University of Newfoundland. My research focuses on optimal nonlinear, model-based, disturbance-aware predictive control and trajectory generation for aerospace systems navigating complex, cluttered environments. Lately, I have been learning and actively working on machine learning projects, particularly computer vision and exploring possibilities with LLMs. When I’m not in the lab or at my workspace, you’ll find me exploring St. John’s on foot, flying my FPV drone, cooking, working out at the gym, playing soccer or tennis, or enjoying a scenic hike.
“The first principle is that you must not fool yourself—and you are the easiest person to fool.”
— Richard Feynman
Graduate Research & Teaching Assistant
Market Validation & Customer Discovery Lead
Control Design Engineer
GNC Engineer (Part Time)
Assistant Manager
Technical Writer
Intern
Spring 2025 • TA
Conducted labs and tutorials, covering Quanser Cube-Servo experiments, system identification, control-system design, and amplifier circuits.
Winter 2025 • TA
Conducted tutorials on control-system theory, RLC circuit analysis, and amplifier design, and led laboratory sessions on amplifier experiments.
Fall 2024 • TA
Conducted labs on mechanical system simulation and modeling, CAM processes, and fundamental image processing and segmentation techniques.
Summer 2024 • TA
Conducted tutorials on linear algebra and control-system fundamentals, and led labs on amplifier circuits and RPM measurement using a DAQ instrument in LabVIEW.
Winter 2024 • TA
Conducted labs covering lab instruments, and amplifiers.
2020 - Present • Independent
Providing personalized online tutoring in Mathematics, Physics, MATLAB, and Drone Modeling & Control to students worldwide, helping them master complex concepts and practical applications.
Master of Engineering in Electrical Engineering
GPA: 4.0/4.0
Thesis: Model Based Optimal Trajectory Generation and Disturbance Aware Predictive Control Design of a Quadrotor
Bachelor of Science in Aerospace Engineering
GPA: 3.75/4.0
Thesis: Robust Control of a Quadrotor: An ADRC Approach
October 2024
This award is made in recognition of continued academic excellence throughout the program.
November 2024
For winning a Ocean Idea Challenge in solving ocean-related problems.
August 2021
Awarded for the best final year project for class of 2021.
August 2018
Awarded a fully funded Government fellowship for Bachelor's degree at IST.
September 2017
Awarded for excellent performance in Matriculation examinations.
A selection of my recent work in control systems, trajectory optimization, and aerospace engineering.
💡 Click or hover to see project details and images
YOLOv8-based AI system for automated wind turbine defect detection with 82.3% mAP@0.5 and 98% detection rate.
Automated Reddit problem scraper using LLMs for market research and idea validation with privacy-focused analysis.
Developed a dual neural network architecture to learn translational and rotational dynamics, featuring two feedforward networks with ReLU activation implemented in MATLAB.
Hardware-in-the-Loop simulation setup using ROS for DJI Matrice 300 drone with OSDK integration.
Framework using differential flatness and Bézier curves for real-time trajectory planning in obstacle-dense environments.
Nonlinear MPC integrated with extended state observers to estimate and compensate for external disturbances.
High-quality orthomosaic maps from satellite imagery using ORB algorithm and image stitching.
6 DOF nonlinear simulation with proportional navigation guidance.
Detailed 6 DOF simulation model with actuator and sensor models for realistic flight conditions.
Implemented Incremental Nonlinear Dynamic Inversion (INDI) algorithm for quadrotor attitude and altitude control.
High-fidelity nonlinear 6 DOF simulation with stability augmentation systems and autopilot.
Nonlinear active disturbance rejection control strategy with comparison to traditional methods.
Comprehensive sizing and design of a supersonic fighter jet as per Raymer's book using RDS.
CFD analysis and one-way fluid-structure interaction analysis of a high aspect ratio wing.
Longitudinal and lateral autopilot systems design with control laws for various flight modes.
Detailed performance analysis as per Anderson's book.
M. A. Ahsan, H. Zeeshan Iqbal Khan, J. Rajput and J. Riaz
2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 2022, pp. 444-450.
Interactive PID controller analysis and tuning tool
A free, web-based application for designing and analyzing PID control systems. Features interactive Bode plots, step response analysis, and performance metrics calculation.
High-resolution mathematical art and fractal wallpapers
Discover stunning 4K mathematical wallpapers featuring attractors, patterns, and geometric art. Each wallpaper showcases the beauty of mathematics with proper equations and detailed descriptions.
Professional productivity timer with task management
Boost your productivity with this elegant Pomodoro timer featuring task management, customizable timers, progress tracking, and motivational quotes. Perfect for students, professionals, and anyone looking to improve their focus.
Certified pilot with a background in aerospace and electrical engineering, offering aerial solutions for commercial and industrial applications.
Detailed aerial inspections of buildings, bridges, and infrastructure with high-resolution imaging.
Cinematic 4K video production with professional stabilization and creative flight patterns.
Precision aerial mapping, orthomosaic generation, and topographic surveys.
High-speed FPV drone racing and immersive first-person aerial experiences.
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!
GitHub
github.com/adeelahsaanawanSt. John's, NL, Canada