Ing. Shad Ahammed

1. Development of neural network-based smart wearables detecting health complications 2. FPGA-based embedded system for fast inferencing using TVM/ VTA 3. Data analysis/text parsing of health vitals, EEG/ECG signals 4. Supervising master thesis, master project relevant to machine learning and FPGA

• 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

• Tested and verified high speed sensors to support power system of polygon scanners • Developed embedded systems prototype to measure high speed current • Designed PCB using Eagle/Target3001

• 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

1. Control Engineering 2. Micro system 3. Process Automation 4. FPGA based Micro Electronics 5. System Engineering

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