Dr. Shad Ahammed

• Designed and optimized computer vision systems for safety-critical autonomous driving applications, using YOLO and CNN architectures • Implemented advanced image augmentation pipelines using CARLA to emulate real-world drift conditions • Applied STPA (System-Theoretic Process Analysis) to evaluate AI failure modes and enhance system safety compliance • Led interdisciplinary collaboration with automotive partners on AI transparency and model behavior analysis

• Developed machine learning models in predictive analysis of health complications for rescue patients • Conducted advanced data analysis using time-series signals from body sensors and medical equipment • Designed and integrated large language models (e.g., Llama, BERT) for generating health assistance reports • Applied Explainable AI (XAI) techniques to interpret model predictions and enhance transparency • Engineered embedded AI systems using FPGA, Arduino, and microcontrollers for real-time inference

• Acceptance Test Specifications for state-of-the-art integrated modular avionics equipments following /DO-254/, /DO-297/, AIRBUS standard • Developed general purpose automatic test equipment to perform Production acceptance tests for aerospace equipments • Define system requirements to test wired (Discrete/Analog/PWM) and BUS communication (CAN/A429/A664/A717) interfaces • Requirement engineering using DOORS document management

• Reduced 75% of test run time by developing unique MATLAB based automated system for processing scattered protein droplet image • Successfully implemented image processing technique to deduce complex refractive index measurement

• Designed Python based machine learning model for detecting epileptic seizure with accuracy over 98% • Developed hardware prototype with FPGA(Altera) using VHDL without time slack • Designed test bench for verification of the software and debug with ModelSim

• Worked with IMU(MPU9150) sensor to obtain data from wireless netwrok • Designed sensor based electronic system with Raspberry Pi using OCTAVE/MATLAB

 Led several projects with efficiency-based planning from production till delivery  3 times customer credibility award in 1.5 years for maintaining project timeline  Increased production efficiency by 25-30% in 1 year by using smart planning tools e.g. SAP, ETS, FAST React

Artificial Intelligence

1. Quantitative Business Analysis 2. Supply Chain

1. Electrical Circuit 1 and 2 2. Electronic 3. Electronic circuit simulation 3. Engineering Electromagnetics 4. Electrical Machine