Alex Schwarm, Ph.D.

Alex Schwarm, Ph.D.

Austin, Texas, United States
2K followers 500+ connections

About

As an accomplished and business-driven Head of Data and Data Science, I have a proven…

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Experience

  • Arrive Logistics Graphic

    Arrive Logistics

    Austin, Texas, United States

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    Austin, Texas, United States

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    Austin, TX

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    Austin, Texas

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    Austin, TX

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    Austin, Texas Area

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    Austin, Texas Area

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    Austin, Texas Area

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    Austin, Texas Area

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    Austin, Texas Area

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    Austin, Texas Area

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    Austin, Texas Area

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    San Francisco Bay Area

Education

  • University of Delaware Graphic
  • Activities and Societies: President of Texas A&M Martial Arts Club Volunteer Leader and Webmaster of Brazos Animal Shelter

    Focus on Analytics/Modeling, Optimization, and Control Theory

    Awards
    Best Presentation Texas A&M University Graduate Student Symposium, 1st Place
    Celanese Excellence Award in Chemistry and Chemical Engineering
    Dow Chemical Graduate Fellowship

Volunteer Experience

Publications

  • All Models are Wrong, But Some are Useful... Especially with the Right Data

    Data Science Salon - Austin

  • Predictive Maintenance of Wire Breakage and Quality Yield of Wire Saw Tools with Multivariate Limit Model

    EUPVSEC

    Other authors
  • Proactive Equipment Process Control for PV Manufacturing

    SNEC Conference, Shanghai

  • Why PV Manufacturers Need Proactive Equipment Process Control

    SOLARCON 2010 cSi Technology, Shanghai

  • Adaptive Multivariate Fault Detection for Semiconductor Processing

    Advanced Equipment Control / Advanced Process Control Conference (AEC/APC), Indian Wells

  • Advanced Process Control for Dep-Etch Module

    Advanced Equipment Control / Advanced Process Control Conference (AEC/APC) XIV, Salt Lake City

  • Advanced Process Control for Process Tools and Process Modules

    Invited Talk, 3rd European Advanced Equipment Control / Advanced Process Control Conference (AEC/APC), Dresden

  • Advanced Process Control Solutions for Semiconductor Manufacturing

    Advanced Semiconductor Manufacturing Conference (ASMC)

  • APC for Copper Wiring Module

    Advanced Equipment Control / Advanced Process Control Conference (AEC/APC) XIV, Salt Lake City

  • Wafer-To-Wafer and Within Wafer Advanced Process Control Used in Chemical Mechanical Polishing (CMP)

    Advanced Equipment Control / Advanced Process Control Conference (AEC/APC) XIV, Salt Lake City

Patents

  • Machine Learning Classifier and Prediction Engine for Artificial Intelligence Optimized Prospect Determination on Win/Loss Classification

    Issued US 20180101771

  • Feedback control of chemical mechanical polishing device providing manipulation of removal rate profiles

    Issued US 8,070,909

  • Adaptive multivariate fault detection

    US 7,587,296

  • Automated design and execution of experiments with integrated model creation for semiconductor manufacturing tools

    US 7,333,871

  • Dynamic inline yield analysis and prediction of a defect limited yield using inline inspection defects

    US 7,937,179

  • Dynamic metrology schemes and sampling schemes for advanced process control in semiconductor processing

    US 7,698,012

  • Dynamic metrology schemes and sampling schemes for advanced process control in semiconductor processing

    US 7,698,012

  • Dynamic metrology schemes and sampling schemes for advanced process control in semiconductor processing

    US 7,725,208

  • Factory Level Process and Final Product Performance Control System

    US 8,849,438

  • Feedback control of a chemical mechanical polishing device providing manipulation of removal rate profiles

    US 8,694,145

  • Feedback control of a chemical mechanical polishing device providing manipulation of removal rate profiles

    US 7,160,739

  • Feedback control of plasma-enhanced chemical vapor deposition processes

    US 6,913,938

  • Graphical user interface for presenting multivariate fault contributions

    US 7,831,326

  • Graphical user interface for presenting multivariate fault contributions

    US 7,765,020

  • Inline defect analysis for sampling and SPC

    US 8,799,831

  • Integrating tool, module, and fab level control

    US 7,047,099

  • Integration of fault detection with run-to-run control

    US 7,337,019

  • Method and apparatus for determining factors for design consideration in yield analysis

    US 8,924,904

  • Method of feedback control of sub-atmospheric chemical vapor deposition processes

    US 7,201,936

  • Method, system and medium for controlling manufacture process having multivariate input parameters

    US 7,966,087

  • Method, system and medium for controlling manufacture process having multivariate input parameters

    US 7,272,459

  • Method, system and medium for controlling manufacturing process using adaptive models based on empirical data

    US 7,668,702

  • Method, system and medium for controlling manufacturing process using adaptive models based on empirical data

    US 7,970,588

  • Method, system and medium for process control for the matching of tools, chambers and/or other semiconductor-related entities

    US 7,082,345

  • Method, system, and medium for handling misrepresentative metrology data within an advanced process control system

    US 6,999,836

  • Metrics independent and recipe independent fault classes

    US 8,010,321

  • Ranged fault signatures for fault diagnosis

    US 7,596,718

  • Ranged fault signatures for fault diagnosis

    US 7,934,125

  • Scheduling modeling system for adaptive, automated data collection and performance analysis of manufacturing system for optimal scheduling

    US 8,483,861

  • Stage yield prediction

    US 7,962,864

  • System, method, and medium for monitoring performance of an advanced process control system

    US 7,356,377

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