Principal Engineer - Engineer Manager - Technical Lead
Resume:
Jafar Ghorbanian, PhD
Columbia, Missouri
*****.**********@*****.***
https://www.linkedin.com/in/jghorbanian/
PROFESSIONAL SUMMARY
• Principal Engineer – System, Research & Technology Development with 15+ years of experience in design, modeling, simulation, and advanced engineering analysis.
• 4+ years of experience leading and managing multidisciplinary engineering teams (5–10 FTEs), integrating technical solutions into a model-based design (MBD) & Simulation Driven Design (SSD) ecosystem to drive innovation and efficiency.
• Extensive experience in Model-Based Design (MBD) and data analytics, accelerating New Technology Introduction (NTI) and New Product Development (NPD) in the Automotive and Energy industries.
• Exceptional ability to communicate complex technical concepts, translating real-world physics into simulation models, interpreting results into actionable insights, and delivering impactful presentations for both technical and non-technical audiences.
• Ph.D. in Mechanical Engineering (Thermal Fluid Sciences) with a strong research background in experimental methods, CFD/FEA simulations, computational analysis, and transport phenomena.
• Technical expertise in Internal Combustion Engines, Additive Manufacturing, Decarbonization, Sensor Solutions, Climate Technology Solution, and Emissions Management., Cloud Computing (AWS, GCP, Nvidia DGX), Data Analytics, Machine Learning, and Digital Twin development.
EDUCATION
Ph.D. in Mechanical Engineering, Southern Methodist University (SMU), Dallas, TX, 2013-2017
• Dissertation: Thermal-Fluids transport in nano-scale liquid flows M.S. in Automotive Engineering, Khajeh Nasir Toosi University of Technology, 2004-2007
• Thesis: Simulation of Combustion and Emissions of DME Fueled Direct Injection Diesel Engines B.S. in Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 1999-2004
• Thesis: Designing and modeling of an ice rink refrigeration system WORK AND RESEARCH EXPERIENCE
Baker Hughes, December 2019 – Present
Principal Engineer, System, Research & Technology Development, September 2024 – Present
• Developing a full-system model of the Electrical Submersible Pumps (ESP) system in Ansys Twin Builder, incorporating mechanical components with inertia and hydraulic loads, aiming to create a digital twin of Artificial Lift System Wells with integrated digital sensors.
• Integrated M-STAR CFD, leveraging the lattice Boltzmann methodology for thermal-fluid transport in ESP systems with a focus on multiphase flow simulations, and utilizing Nvidia DGX clusters for high-performance computing.
• Led project brainstorming sessions to review, refine, and prioritize initial ideas through a collaborative approach, ensuring alignment with organizational goals and leveraging the power of modeling and simulation to drive innovation.
• Served as a key member of the Modeling and Simulation Committee at Baker Hughes, representing the Product Solutions segment and working closely with fellow committee members. Senior Team Leader/Technical Lead, December 2020 – September 2024
• Lead the Multiphysics Modeling & Simulation Team (5-10 FTEs), reports to the Executive Director of the Energy Innovation Center. Main responsibility is to collaborate with product companies and technical leaders across Baker Hughes to integrate technical solutions into a wider model-based design (MBD) & model-based system engineering
(MBSE) ecosystem, accelerate Baker Hughes learning in low Technology Readiness Level (TRL) tech, develop technologies to commercial release, increase impact with external grants, identify state-of-the-art capabilities and leverage available internal & external resources to maximize the return on investment (ROI).
• Lead the Center of Excellence (CoE) for MBD, MBSE and work with the Executive Science/Technology Director, to find solutions to the top challenges in modeling and simulation, help to mature the internal MBD capabilities, and step out of current technology comfort zone to be aligned with new value vectors across Baker Hughes.
• Project Manager and Technical Leader for New Technology Introduction and New Product Development projects within Baker Hughes such as:
• XMO2 Oxygen Sensor: Developed Multiphysics models to understand the thermo-paramagnetic oxygen sensor and determine optimized design parameters using coupled CFD and Electromagnetics simulations. It resulted in an increase of $4M/year in revenue and $100K/year in cost savings. Page 2 of 3 Jafar Ghorbanian – Resume
• Gas Electron Multiplier: Developed a validated physics-based model to replace the existing Photomultiplier Tube for robustness and cost reduction using coupled electromagnetics and Monte Carlo Simulations. It is expected the new product will have ROI of 128% in 5 years.
• Additive HPC Distributed Solve: Delivered a workflow that proves AM scan pattern-based simulation can be scaled up from a research tool to a production tool using coupled thermal and mechanical simulations. This leads to $800+K/year in revenue and 130X faster solve time.
• Additional projects included: Rotating Packed Bed, Regenerative Froth Contactor, Virtual Testing with Next- Gen GPU Solvers, Topology Optimization, Electromagnetic Acoustic Transducer, Geothermal Technology, Mosaic Direct Air Capture, Ultrasonic Hydrogen Gas Flowmeter, LUMEN (Emission Sensor), and SVI-II Pneumatic Transducer.
Multiphysics Modeling & Simulation Leader, December 2019 – December 2020
• Collaborated with Ansys, Additive Manufacturing Tech Center, and Digital Technology teams to advance cloud computing in Docker containers, standardize large simulations, and optimize HPC performance, reducing simulation time and scaling R&D to production tools.
• Contributed to key projects, including Frangible Ceramic Disc with Additive Manufacturing Tech Center, THELMA with the energy transformation team, and Feed Forward Hybrid Modeling with Additive Manufacturing Tech Center, providing design, optimization, and data analytics support.
• Established a modeling and simulation Community of Practices (CoP), growing a 500+ member team for knowledge sharing, support, and application of numerical modeling across Baker Hughes.
• Fostered a positive learning environment within the Modeling & Simulation CoP, mentoring engineers on modeling and simulation challenges.
• Coordinated with the Ansys user community at Baker Hughes, gathering challenges and needs for Ansys TAM and BH Digital Technology teams.
• Advised on joint projects between Baker Hughes and the University of Oklahoma. John Deere, Waterloo, Iowa, Design/CAE Engineer & Data Analyst, October 2018- December 2019
• Simulations - Conducted and coordinated diverse FEA and CFD analysis for John Deere’s tractors drivetrain components and PV&V test fixtures to aid product development in early design stages.
• Data Mining - Developed a relational data model to compare parts/cost and bring more focus towards sharing modules across the platform level to facilitate efficient module/technology re-use over John Deere’s multi-tractor families.
• Data Visualization – Utilized visual database design and business intelligence tools for powerful interactive analytics.
• Technical Leadership and Mentoring - Worked with different teams and lead 5 FTEs in the areas of modeling and design utilizing 1D and 3D simulations.
Caterpillar Inc., Peoria, IL, Performance/Simulation/CFD Engineer, August 2017- September 2018
• Simulations & Engine Test Data Analysis – Setup/run/calibrate 1D & 3D physics-based models to investigate Gas Exchange, Heat Transfer, Combustion, and Emission Prediction in different size CAT engines using CFD and FEA simulations.
• Reporting - Interpretation & analysis of results, summarizing for the technical and non-technical audiences, and guide experimental work for engine development projects.
• Automation - Development of scripts and macros to manage and improve the automated CFD tasks. Microfluidics & Laser Micromachining Labs, SMU, Dallas, TX, January 2013- August 2017
• Developed a unique methodology to investigate the scale effects in nano-scale liquid flows.
• Developed a reliable continuum model in nano-scale liquid flows relevant for large-scale engineering applications.
• Developed Fluid-Structure (FSI) numerical models of the microfluidic device for detecting distributed loads in Electrolyte-Enabled Distributed Transducers (EEDT) devices.
• Performed computer simulation using ANSYS FLUENT to model the whole process of laser induced forward transfer
(LIFT) used in fabrication of photonic devices.
Irankhodro Powertrain Co., R&D and Validation Engineer in CAE Dept., 2008-2013
• Performed 2D/3D CFD/FEA simulations for different engine components in numbers of NTI/NPI projects.
• Managed the engine test cell to perform functional and performance tests for different types of engines.
• Analyzed the friction losses of individual engine components, write the report, and participate in technical negotiation with suppliers.
Page 3 of 3 Jafar Ghorbanian – Resume
• Worked closely with different technicians to go through the test process, prepare the test cell, install the required sensors, and perform data acquisition
• Participated in providing technical documents such as DFMEA, DVP&R.
• Worked as a project engineer and collaborated with department of materials science to design, manufacture new elements, and modify the lubrication system.
• Developed a rapid design predictive tool for optimization of Journal Bearings. HVAC Engineer, National Energy Conservation Research Institute, Tehran, Iran, August 2004- August 2007
• Designed and constructed a CFM box for testing water coolers.
• Performed the test and reported the energy star label for each product to manufacturer
• Optimized natural gas consumption in medical center HVAC systems using Carrier software package COURSES AND SKILLS
Technical Areas
Thermodynamics, Gas Dynamics, Fluid Mechanics, Viscous Flow, Heat and Mass Transfer, CFD, FEM, FSI, Molecular dynamics Simulation, Additive Manufacturing, Electromagnetics, Numerical Analysis, Combustion, Internal Combustion Engines, Microfluidics, Electrokinetic Transport Phenomena, Cloud Computing, and Data Analytics. Software and Programming
• Programming/Optimization: MATLAB, SQL, Python, ModeFrontier
• FVM, FEM, and Multiphysics Modeling: ANSYS (Mechanical, Fluent, CFX, Additive), COMSOL, Converge CFD, M-STAR CFD, Ansys Twin Builder
• Design and preprocessing: SolidWorks, CREO, CATIA, Ansys SpaceClaim, ICEM CFD, Dynasty (GT-Power), and Simscape
• Visualization: OriginPro, Tecplot, MATLAB, and Ensight
• Business Intelligence Tools: QlikView and MATLAB Data Explorer App
• Molecular dynamics simulation: BIOVIA Material Studio, LAMMPS, and VMD
• Other: Linux shell scripting
Experimental/Lab
• Automotive engine performance and functional test facilities.
• Heat and Mass Transfer Lab
ATTENDED WORKSHOPS
• INCOSE CSEP Certificate – Baker Hughes, In Progress
• Leadership Development FOCUS – Baker Hughes, July 2024
• Geometric Dimensioning & Tolerancing - Intermediate., John Deer PEC, Waterloo, IA, 2018
• Tolerance Stack., John Deer PEC, Waterloo, IA, 2018
• Data Analysis and Visualization, TACC Supercomputing Inst., Austin, TX, August 2016
• LAMMPS Users' Workshop and Symposium, Albuquerque, New Mexico, August 2015
• HPC Summer Workshop, SMU Center for Scientific Computation, Dallas, Texas, 2014
• COMSOL Multiphysics Intensive Training, Houston, TX, June 2014
• Pump Design, Calculation, Selection, and Sizing, Novin Parsian Institute, April 2012 HONORS AND AWARDS
• Frederick E. Terman Award, Bobby B. Lyle School of Engineering, SMU, 2017
• Outstanding Poster Award, Bobby B. Lyle School of Engineering, SMU, 2016
• Certificate of Merit, First Ranking among Graduate Students in Automotive Powertrain Division, K. N. Toosi University of Technology, 2007
JOURNAL PAPERS
Please check my Google Scholar profile: https://scholar.google.com/citations?user=GlmJ30AAAAAJ&hl=en
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