Advancing ML-based anxiety detection using wearables in the real-world:• Engineered a robust multi‑modal ML framework tailored for real‑world application, significantly enhancing system deployment readiness. • Implemented denoising algorithms and synthetic data generation to boost detection accuracy by 8% and model reliability in diverse environments. • Advanced sensor fusion methodologies to optimize data quality for ML processing, markedly improving detection performance from 93% to 99%. • Optimized data pipelines and engineering features robust to environmental disturbances, yielding improved model performance. • Managed recruitment, coordination, and execution of real‑world experiments, ensuring well‑labeled and accurate datasets.

ME 371 - Mechanical Design IIUnconventionally, students their time during lectures working on solving problems to aid in their design a mini cage elevator, as a final project. They come with questions, if they have any, or work independently within groups.Emphasis is on Material failure modes and machinery components, like gears, bearings, springs, etc.. It’s exciting to see one’s knowledge coming together to develop a functioning machine, while developing as an engineer.ME 360 - Signal ProcessingFundamentals of Signal Processing, Instrumentation and Control. Basic electromechanical techniques used in modern instrumentation and control systems. Use of transducers and actuators. Signal conditioning, grounding, and shielding. Analog and digital signal processing and feedback control methods with emphasis on frequency domain techniques. Frequency response of continuous and discrete systems.I helped change the curriculum when campus was closed during COVID-19, to be suitable for remote study. It consisted of developing simulators to synthesis the signals students would observe in the lab.ME 270 - Design for Manufacturability (DFM)This course is an introduction to DFM methodologies and tools; material selection (new and traditional materials); designing for primary manufacturing processes (cutting fundamentals, casting, forming, and shaping); designing with plastics (snap-fits, hinges, etc.); design for assembly (DFA); geometric dimensioning and tolerancing (GD&T).This is a pretty fun hands-on class, where students design and CNC molds, which are then used for injection molding. They also get to design and 3D print parts, disassemble products and redesign an consumer product.ME 402 - Design of Thermal Systems Design of Thermal SystemsThough, it’s been a while since I’ve worked with heat transfer or thermodynamics, I was assigned this course as a resident “python expert,” to teach the unfamiliar students with python, and manage script submissions and testing.

• Spearheaded the design and optimization of bespoke subscale aircraft testbeds, advancing stall‑spin(SS) research through the integration of advanced signal processing, sensor fusion, and machine learning flight classification algorithms. • Enhanced stall and spin prediction models with innovative, sensor fusion, denoising and machine learning classification algorithms. • Optimized Data Acquisition (DAQ) sys., boosting accuracy through improved data management to increase operational flight testing efficiency. • Engineered a novel fail‑safe SS detection controller using predictive analytics, setting new standards in SS prediction and recovery systems, contributing to advancing aerospace safety protocols. • Invented novel methodologies to evaluate airflow conditions and characteristics through hardware and software design.

• Provided Technical Engineering support for rotating equipment to 90 SABIC affiliates around the world• Initiated, studies and oversaw implementation of lean manufacturing techniques leading to world record breaking productionsthrought change management techniques.• Lead efforts to revise, rewrite and publish standard operating procedures on multi-organization scale.• Co-created a global platform for knowledge and expertise sharing as one of handful certified CatIII vibration analysts in the middleeast.• Conducted the first of it’s kind big data analysis on production and machinery data to improve global productivity and reliability.