John Axerio Cilies
About
John Axerio Cilies is from San Francisco, California, United States. John works in the following industries: "Higher Education", "Mechanical Or Industrial Engineering", "Medical Device", "Information Technology & Services", "Oil & Energy", and "Electrical & Electronic Manufacturing". John is currently Chief Executive Officer at Arterys, located in San Francisco, California, United States. In John's previous role as a CTO & Co-Founder at Arterys, John worked in San Francisco Bay Area until May 2020. Prior to joining Arterys, John was a COO & Co-Founder at Arterys and held the position of COO & Co-Founder at San Francisco Bay Area. Prior to that, John was a PhD Candidate Researcher at Stanford University, based in San Francisco Bay Area from Jan 2008 to Jun 2012. John started working as Controls and Instrumentation Lead at Blue Energy Canada Inc. in Vancouver, Canada Area in May 2006. From May 2005 to Dec 2005, John was Actuator Development at Honeywell, based in Vancouver, Canada Area. Prior to that, John was a Combustion Pressure Sensor Designer at Robert Bosch, based in Stuttgart Area, Germany from May 2004 to Sep 2004. John started working as Process Parameter Optimization at Laser Zentrum Hannover e.V. in Hannover Area, Germany in Jan 2004.
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John Axerio Cilies's current jobs
John Axerio Cilies's past jobs
I worked in the Flow Physics and Computational Engineering group, focusing on numerical simulations of bluff bodies in ground contact, uncertainty quantification (UQ), and optimization. I worked in collaboration with the aerodynamics department at Toyota Formula 1, using computational fluid dynamics (CFD) to identify and resolve wake structures behind rotating wheels. I was involved in uncertainty quantification related to using Reynolds-averaged Navier–Stokes (RANS) turbulence modeling. This included dealing with both epistemic (model) uncertainty as well as aleatory (geometry, inflow conditions) uncertainty using stochastic collocation as well as response surface construction and sampling approaches. In order to validate and verify our models I performed high-fidelity large eddy simulations (LES) and compared the results to in-house experimental data. A specific focus of my research was to determine sensitivities in wake characteristics due to uncertainties in tire geometry and to turbulence model selection. I developed a method for coupling optimization and UQ and implemented the algorithm in Leland: a robust design infrastructure for high performance computing. Leland allowed me to optimize several industrial (buildings for HVAC, wind turbines) and medical disorders (upper and lower airways, cardiovascular disease) using thousands of processors in parallel.
• Designed a scaled vertical axis hydroelectric turbine for towing tank tests at the Ocean Engineering Center in Vancouver, B.C. Canada • Used an AC motor to dynamically brake the turbine at constant speed creating enough energy to power small electrical devices • Controlled AC motor speed and torque as well as measuring drag load, encoder signal, turbine shaft torque and pressure along multiple airfoil pressure taps • Integrated multiple data acquisition systems together using CompactDAQ and Labview 8.0 to allow isolation, amplification, and higher order filtering
• Worked in the research and development department designing and testing steam actuators and sensors • Independently created a steam actuator diagnostic tool to detect faulty actuators that exhibited high levels of hysteresis using Intelligent Distributed Pneumatic (IDP) modules • Designed and tested a fully automated system consisting of an electromechanical control valve, solenoid valves, potentiometer, pressure transducer, flow meter, and an accelerometer to assess the new generation Bellows valve actuator under different flow conditions (temperature, pressure, % water vapour, etc.)
• Researched and characterized piezoelectric materials for pressure sensing elements of new generation HCCI diesel engines • Independently designed and integrated the control system for a varying force machine able to apply dynamic loads of 1000 N using data acquisition (DAQ) hardware and Labview 7.0 • Performed time aging, temperature, crystal orientation, varying frequency and force tests on 5 different materials, evaluated and analyzed the data from all tests and summarized findings • Worked in the Microstructures and Thin Layers department at BOSCH and gained knowledge in MEMS technology and other sensor technology used in vehicle safety systems like ESP • Redesigned the varying force machine after noticing the device experienced fatigue and had potential failure points which could have led to inaccurate readings
• Researched a pulsed Nd:Yag 1064 nm laser to spot weld Moulded Interconnect Devices (3D−MID), Surface Mounted Devices (SMD), SO16 Lead Frame, and miniature electronic components such as capacitors, and inductors • Found the Process Window (Pulse peak power vs. Pulse Duration) for many metals • Optimized pulse shape according to reflectivity and heat capacitance of different metals • Set-up and optimized the motion control system and optical devices in order to find the focus of the beam. This included writing computer programs (Gail Motion Control Code) to control both the laser and specimen motion • Used Matlab and Simulink to find the desired weld location automatically to within 15 micrometers • Worked on projects for Airbus, Kuhnke, Bosch, and Volkswagen; particularly, filling 100 micrometer gaps on fuel injector tips