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Sadra Hemmati

Senior Consultant

Summary

I hold a Master of Science (MSc) degree in electrical engineering and am pursuing a part-time Doctor of Philosophy (PhD) in mechanical engineering. I am highly skilled in Systems Engineering Life Cycle Analysis (ISO/IEC/IEEE 15288: System Life Cycle Processes), Model-Based Systems Engineering (MBSE), and safety-critical system development adhering to the rigorous industry guidelines in DO-178C, DO-254, ARP4761A and ARP4754. I have obtained Systems Engineering and Quality certifications from numerous organizations, including ASEP (Associate Systems Engineering Practitioner) through INCOSE (International Council of Systems Engineers). I am the first author of the highly cited paper “Integrated Cabin Heating and Powertrain Thermal Energy Management for a Connected Hybrid Electric Vehicle – ScienceDirect”, in which systems integration, and modeling of electrified powertrain is studied.

Technical Skills

·         Systems Engineering: Requirements management (DOORS), MBSE, integration

·         Aerospace Standards: ARP4754, ARP4761, DO-178, DO-254, and DO-160

·         Modeling & Simulation: Simulink, MATLAB, Cameo

·         Hands-on: Instrumentation (laser heat sensors, flowmeters, pressure gauges, etc.), power supplies, etc.

·         Programming: PLC, FORTRAN, C, C++, MATLAB, Simulink, Python

Experience

Senior Avionics Development Engineer – Model-Based Engineering, Boeing | Jul 2023 – Feb 2025 | Everett, WA 

Project 1

Global Aeronautical Distress and Safety System (GADSS):

·         Reviewed and recommended changes to standardize subcontractor requirements. Presented results to stakeholders, initiated V&V documentation.

·         Full ownership of the modeling GADS system in MATLAB/Simulink, including scenario generator, state machine, and display functionalities.

·         Traced subcontractor requirements to model elements in Simulink and identified gaps.

·         Developed a modular tool that processes user input scenario of GADSS system from Excel in MATLAB to generate a Simulink structure with time, assuming no knowledge from the user.

Project 2

Multi-Mode Receiver (MMR) for 777X:

·         Allocated 700+ requirements (after filtering non-functional requirements per ARP4754) to the main 6 (six) functions of MMR (GNSS, GLS, ILS, INR, VOR, SBAS)

·         Developed: 1. high-level Context Diagram for GNSS to identify key customers (e.g., Displays, ERS, and RDC.), 2. GNSS Use Case Diagram to illustrate the end-user perspective, 3. GNSS Activity Diagram to outline task responsibilities in GPS operations, 4. GNSS State Machine Diagram to represent the various operational states.

Project 3

Air Data System (ADIRS) for 737MAX:

·         Modeled ADIRU, ISFD, and DPC systems in Simulink using ICD, SCD, SDD documents

·         Performed model testing (unit, system, coverage) using flight test data. Used Simulink Test Manager to develop tests.

·         Generated C code from the validated and verified Simulink model and embedded the C code in a wrapper code to facilitate the simulation of the new system in the Integrated Aircraft Configuration (IAC)

·         Modified FORTRAN code for IAC integration, ensuring alignment with system requirements and enhancing performance.

Computational Modeling Analyst, AbbVie | Apr 2022 – May 2023

  • I created a tool used for optimization of processes utilizing advanced design of experiment (DOE) techniques. The tool helped engineers increase yield and reduce waste/ impurity during production.

  • The developed tool is also used for quality control as it had predictive power for predicting impurity levels. Conducted training sessions for team members on the use of developed tools.

Energy Designer, Tesla | Jan 2020 – Dec 2020 | San Diego, CA

  • Modeled thermal behavior of high-voltage assemblies and optimized battery formation processes. Characterized thermal system dynamics for Tesla Powerwall products, validating sensor performance.

  • Performed fault tree analysis (FTA) and failure mode & Effects Analysis (FMEA) for mitigating cascading failures.

  • Conducted precise testing using tools such as heat glue, laser heat sensors, flowmeters, and pressure gauges.

  • Developed models in MATLAB/ Simulink to predict system behavior under varying operating conditions

Embedded Developer (intern), Intrepid Control Systems | Jan 2019 – Dec 2019 | Detroit, MI

·         Implemented virtual GPS NMEA messages and PPS signals on the ATSAMD51G19A microcontroller  SAM device, enhancing system synchronization.

·         Found a bug in the data sheet for the ATSAMD51G19A microcontroller (TX pin mismatch)

Researcher, VU | Jan 2021 – Feb 2022

·         Developed algorithms based on signal processing and machine learning for diagnosis and prognosis complex systems, including rotating machinery faults. The application domain encompasses jet engines, power plants, automobiles, locomotives, and other heavy machinery.

Powertrain Modeling Lead Graduate Assistant, Michigan Tech University | Jan 2017 – Dec 2019 | Houghton

  • Led powertrain & HVAC modeling for hybrid electric vehicles under the NextCar Project.

  • Developed MPC optimization algorithms for energy-efficient vehicle operations.

  • Utilized real-world data to develop high-fidelity vehicle models, leading to improved accuracy in energy optimization.

Graduate Research & Teaching Assistant, University of Tennessee, Knoxville | Jan 2015 – Dec 2017 | TN

  • Graduate Teaching assistant for “Additive Manufacturing”, “Mechanical Vibrations”, “Intro to Data Mining”, etc.

  • Graduate Research assistant for an NSF-funded project focused on context-aware health monitoring

Industrial Control Intern, Festo | May 2012 – Aug 2012

  • Obtained certifications for “Designing hydraulic circuits”, “Pneumatic circuits” and “Electro-pneumatic circuits”, Designed PLC control plans using Siemens S7 software for industrial automation.

Education

Ph.D. in Mechanical Engineering (Ongoing, Part-time), Villanova University | Sep 2020 – Dec 2025

  • Research: Nonlinear dynamics & machine learning for fault diagnosis in rotating machinery.

M.S. in Electrical Engineering, University of Tennessee, Knoxville | 2015 – 2017 | GPA: 3.80

  • Awarded full scholarship for M.S. program in the U.S. Focus: Signal processing, and machine learning.

Graduate certificate in Fire Protection & Forensic Engineering, UTK | 2016 – 2017 | GPA: 4

  • 16 credits related to fire dynamics, fire protection methods, and forensic engineering

B.S. in Mechanical Engineering, K.N. Toosi University of Technology (KNTU) | 2010 – 2014

  • GPA: 3.3 out of 4. KNTU is the “Center of Excellence” of Control Engineering in Iran

Diploma, Mathematics & Physics, National Organization of Development of Exceptional Talents (NODET)| 2006 – 2010

Sadra Hemmati
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