B.ENG ELECTRICAL ENGINEERING · HCT · GPA 4.00 / 4.00
Building intelligent systems at the intersection of hardware and AI — from autonomous solar trackers to sustainability research for the next generation of clean energy infrastructure.
I'm a third-year Electrical Engineering student at the Higher Colleges of Technology in Sharjah, UAE, maintaining a perfect 4.00 GPA while pursuing research and engineering projects that directly address real-world sustainability challenges.
My work spans the full stack of engineering — from designing PCB circuits in EasyEDA to training machine learning classifiers in Python. I've presented research at GITEX Global and Abu Dhabi Sustainability Week, and my solar tracker project was recognised with an IEEE Honourable Mention.
Currently investigating grey water recycling systems for UAE residential buildings, targeting publication at the ASCET Conference 2026. I'm passionate about applying engineering to sustainability — the challenge that defines our generation.
Team project — dual-axis sun-tracking system built with Arduino and photoresistors, designed to optimise solar panel orientation for maximum energy output.
↗Prototype to capture wind data and estimate power generation potential using ESP32 and Arduino. Explored high-altitude wind harvesting as a complement to ground-level solar systems.
↗Machine learning pipeline using CNN, SVM, and k-NN ensembles to classify audio under real-world noise conditions. Benchmarked across multiple noise profiles with MFCC feature extraction.
↗Precision CC/CV lithium-ion charging circuit with over-voltage and over-temperature protection. Full schematic and PCB layout designed and tested in EasyEDA.
↗Fully automated vending machine logic programmed on a Siemens PLC using ladder logic. Handles product selection, coin validation, change dispensing, and error states.
↗Investigating scalable, affordable grey water treatment and reuse systems tailored to the residential context of the UAE. The study evaluates filtration methods, system integration feasibility, and water savings potential — contributing to UAE sustainability and water conservation goals.
A systematic study of classical and learned enhancement methods for environmental sound classification (ESC) under real-world noise. Evaluates three architecturally distinct pipelines — a 1D CNN on raw waveforms, an MFCC-based Subspace Discriminant Ensemble, and an Audio Set-pretrained CNN14 — against additive white Gaussian noise and real-world traffic noise across SNR levels from −10 to +20 dB. Investigates adaptive Wiener filtering, MMSE-LSA, and U-Net denoising, demonstrating that enhancement effectiveness depends critically on the interaction between the denoising method and the downstream audio representation. The strongest pipeline, CNN14, achieves 87.5% clean accuracy and recovers up to 24.30 percentage points at −5 dB SNR using U-Net enhancement.
Particle Image Velocimetry (PIV) analysis of bubble movement dynamics, conducted as part of the HCT Research Club. Findings presented at GITEX Global 2024 and Abu Dhabi Sustainability Week 2024.
Participated in PIV bubble movement research as part of the HCT Research Club. Presented findings at GITEX Global and Abu Dhabi Sustainability Week.
Representing EasyEDA at HCT, promoting PCB design tools to students. Ran workshops on schematic capture and PCB layout, guiding peers through implementation.
Delivered 50+ tutoring hours to junior students in circuit analysis and embedded programming over three years.
Participated in an environmental volunteering initiative organised by the HCT Istmada Club, representing the college at the Dulesco beach clean-up. Contributed to community sustainability efforts aligned with UAE environmental goals.
Volunteered as a campus peer tutor for three years, dedicating 50+ hours to supporting junior students in electrical engineering fundamentals. Helped peers navigate challenging coursework in circuit analysis and programming through structured, patient sessions.
Recognised for outstanding engineering design in the IEEE student project competition for the Autonomous Solar Tracker.
Full scholarship awarded for academic excellence to pursue Electrical Engineering at Higher Colleges of Technology.
Reached the national top 10 in the Microsoft Imagine Cup with an AI-powered sustainability solution.
Awarded for outstanding academic and project performance across the academic year.
Third place in a campus-wide design thinking competition for a sustainable engineering solution concept.