David Herman

David Herman Email and Phone Number

ADAS Data at Ford Motor Company @ Ford Motor Company
David Herman's Location
Detroit Metropolitan Area, United States, United States
David Herman's Contact Details

David Herman personal email

About David Herman

Highly adaptable leader with significant research experience, project management, and leadership capability. Proven problem solver who takes on diverse roles in design, modeling, and reliability. Technical and innovative problem solver, achieving results that connect business needs to engineering, research, and design solutions. Capable innovator with 110+ patents pending and 65+ (US) patents granted to date in areas of ML, driver assist, autonomous vehicles, and other technical areas.

David Herman's Current Company Details
Ford Motor Company

Ford Motor Company

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ADAS Data at Ford Motor Company
David Herman Work Experience Details
  • Ford Motor Company
    Adas Data Ops Engineer
    Ford Motor Company Oct 2022 - Present
    Dearborn, Michigan, Us
    Next gen ADAS data platform development: Technical Development and Data Governance (e.g. GDPR).
  • Ford Motor Company
    Adas Data Analyst
    Ford Motor Company Sep 2018 - Oct 2022
    Dearborn, Michigan, Us
    •Developed, deployed, and maintained data analytics platforms•Data pipeline architecture planning, development, and implementation (ingestion to resim/software development)•Data privacy enabled development incorporating ML, data pipeline, access control, and other innovations.Data privacy, project management/Scrum Lead, computer vision, and data analytics of big data for driver assist development and verification. Software stack: Docker, Github, Keras/Tensorflow, Python, Bokeh/Datashader, Pandas, OpenCV, Scikit-learn, Unreal Engine, Qlik, SQL, etc. Connected vehicle data analytics.•Developed novel technical solutions in areas such as Autonomous Vehicles, ADAS, EV, ML, mobility and connectivity leading to multiple patent applications, 100+, and 50+ patent grants by Ford.
  • Ford Motor Company
    Cae Methods Engineer— Structural Mechanics
    Ford Motor Company Jan 2017 - Sep 2018
    Dearborn, Michigan, Us
    Supported efforts to deploy global database applications to migrate existing local solutions and develop new capability for improvement in data management practices and improve efficiencies in the areas of materials testing, CAD, CAE, and correlation between physical and virtual verification methods. •Provided ETL support during data migration of legacy data sources.•Developed internal web-based applications proof of concepts for data analytics and visualization of structured and unstructured data (text, natural language processing). Typical software development stack consisted of Python, Django, Pandas, Bokeh, networkx as well as JavaScript libraries. •Provided technical leadership and training of others in scientific programming.•Developed novel technical solutions in areas such as autonomous vehicles, ADAS, EV, mobility and connectivity leading to multiple patent applications by Ford.
  • Sunpower Corporation
    Module Design Engineer
    Sunpower Corporation Aug 2013 - Aug 2016
    Richmond, California, Us
    Characterized solar panels and individual module components, including silicon, solar cells, polymers, solder, adhesives, tempered glass, and coupons. Developed new testing standards for products and set performance specifications. Assisted in development of Finite Element Analysis (FEA) capability and provided validation based on experimental testing, improving design and reliability.• Increased product reliability by developing destructive and non-destructive test methods of full-scale structures down to material coupon-level testing, and globalized solutions across manufacturing facilities. • Provided technical leadership across R&D, manufacturing, and reliability, leading and implementing solutions to challenging and complex problems.• Developed image, video, and data analysis capabilities to characterize failure mechanisms, improving quality and enabling prototype development across R&D and manufacturing. • Created and deployed software globally (Python, OpenCV, PyQT, Numpy, SciPy, Scikit-learn, Pandas, lxml, pySerial, SQL) for data, image, video, and statistical analysis. • Developed next-generation metrology and end-of-line electrical testing of solar modules, improving process control, quality, and reliability.• Led capital expenditure projects, global deployment, continuous improvement, technical training, and integration, making positive impact across different projects and segments of company.
  • Technion - Israel Institute Of Technology
    Phd Candidate
    Technion - Israel Institute Of Technology Mar 2009 - Jul 2013
    Haifa, Il
    Study of dynamic crack propagation in single crystal silicon under combined tensile andshear loading. Research combined fracture experiments, Finite Element Ana lysis, andsurface microscopy. Additional research included the study of adhesion of TiO 2 thin filmson glassy substrates for photovoltaic applications. Work was performed in coordinationwith Schott AG as part of the ADGLASS consortium. Operated and maintained wafer dicingfacilities.
  • Case Western Reserve University
    Graduate Student
    Case Western Reserve University 2006 - 2008
    Cleveland, Oh, Us
    Primary research included mechanical properties of advanced alloys and composites foraerospace materials. Research included the study of toughness of materials, fatigue crackgrowth, bend strength and other properties at both room and elevated temperature.Research focused on alloy development of high temperature blade materials and materialselection of metallic, ceramic, and composite bearing materials for aerospace application.Regular teleconferences with General Electric and Timken to discuss results and planexperiments.
  • Iowa State University
    Undergraduate Research Assistant
    Iowa State University 2005 - 2005
    Ames, Iowa, Us
    Performed research in silver-erbium alloys for electronic applications. Studied oxidation, crystallography, and mechanical properties of B2 Intermetallics.
  • Argonne National Laboratory
    Undergraduate Research Assistant
    Argonne National Laboratory 2004 - 2004
    Lemont, Il, Us
    Performed wear and friction testing of various tribological systems to understand boundary lubrication mechanisms and low friction materials for fuel-cell air compressors. Participated in fabrication of small fuel injector orifices and coating work.
  • Ames Laboratory
    Undergraduate Research Assistant
    Ames Laboratory 2003 - 2003
    Ames, Iowa, Us
    Preparation of photonic bandgap materials and other photonic crystals.

David Herman Skills

Materials Science Mechanical Testing Scanning Electron Microscopy Composites Python Fracture Mechanics Matlab Characterization Jmp Numpy Image Analysis Afm Mechanics Powder X Ray Diffraction Abaqus Ansys C++ Labview Tribology Thermal Analysis Opencv Matplotlib Wafer Dicing Fatigue Testing High Temperature Materials Crack Path Selection Single Crystal Strain Tma Dsc Metal Matrix Composites Polymer Composites Confocal Microscopy Astm Standards Tga Research And Development Materials Thin Films

David Herman Education Details

  • Technion - Israel Institute Of Technology
    Technion - Israel Institute Of Technology
    Materials Engineering
  • Case Western Reserve University
    Case Western Reserve University
    Materials Engineering
  • Iowa State University
    Iowa State University
    Materials Engineering

Frequently Asked Questions about David Herman

What company does David Herman work for?

David Herman works for Ford Motor Company

What is David Herman's role at the current company?

David Herman's current role is ADAS Data at Ford Motor Company.

What is David Herman's email address?

David Herman's email address is da****@****ail.com

What schools did David Herman attend?

David Herman attended Technion - Israel Institute Of Technology, Case Western Reserve University, Iowa State University.

What skills is David Herman known for?

David Herman has skills like Materials Science, Mechanical Testing, Scanning Electron Microscopy, Composites, Python, Fracture Mechanics, Matlab, Characterization, Jmp, Numpy, Image Analysis, Afm.

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