This document profiles an individual with extensive experience in computer programming, scientific research, product development, and teaching. They have led global research and development laboratories. Their multi-disciplinary background includes expertise in areas such as physics, chemistry, materials science, statistics, and data science. They also have a long history of innovation accomplishments spanning several decades.
Airman Knowledge Testing (AKT) Organization Designation Authorization (ODA) Holders
Airman Knowledge Testing Center List
Updated December 3, 2015
This is an updated list of Commercial testing center locations and contact information. This list replaces all previous versions. Applicants may contact the following central registration numbers for additional information:
Computer Assisted Testing Service (CATS) 1-800-947-4228
PSI / LaserGrade Computer Testing 1-800-211-2753
Airman Knowledge Testing (AKT) Organization Designation Authorization (ODA) Holders
Airman Knowledge Testing Center List
Updated December 3, 2015
This is an updated list of Commercial testing center locations and contact information. This list replaces all previous versions. Applicants may contact the following central registration numbers for additional information:
Computer Assisted Testing Service (CATS) 1-800-947-4228
PSI / LaserGrade Computer Testing 1-800-211-2753
ASM specializes in the Design and Value Engineering, Complex Prototyping, Competitive Manufacturing in the capital process equipment for Semiconductor, Solar and Display verticals. ASM honed its team skills and capabilities to meet current and future requirements with Equipment manufacturers. ASM has robust processes in place for design, documentation control and securing customer’s IP.
With every passing day, organizations are becoming more and more mindful about the performance of their Software Products. However, most of them still on look-out for the basics of Performance Engineering.
According to a recent study by Gartner, fixing performance defects near the end of the development cycle costs 50 to 100 times more than the cost required for fixing it during the early phase of development. Hence, if a product suffers from serious performance issues it can be completely scrapped.
Performance Engineering ensures that your application is performing as per expectations and the software is tested and tuned to meet specified or even the unstated performance requirements.
We present you with a webcast on Performance Engineering Basics that would walk you through the elements and process of performance engineering, and also offers a methodical process for the same.
It also offers details on a load testing tool, and describes how best to utilize it.
Visit http: http://www.impetus.com/featured_webcast?eventid=10 to listen to the entire webcast (20 minutes).
OR
To post any queries on Performance Engineering, write to us at isales@impetus.com
For case studies and articles on performance engineering please visit: http://www.impetus.com/plabs/casestudies?case_study=&pLabsClustering.pdf=
2020 Testing Trends: Top Predictions for QA Teams to Watch, Join, and LeadDevOps.com
As the focus in software development shifts from adoption of Agile and DevOps to sophistication of approach and consistency of execution, so too does the industry’s understanding of testing’s role in the development cycle. More enterprises understand that testers need to work in constant collaboration with developers, which is shaping how teams test, as well as expanding the systems and environments they have to test in.
Before 2019 draws to an end, we take stock of all the milestones testing crossed, as well as the ones that still lie ahead. Join us as we explain why we think you should be mobilizing your team for these trends in the coming year:
AI-powered testing comes of age;
The rise of “smart” testing and the shrinking of test case libraries;
Test automation and RPA’s convergence and its far-reaching benefits;
And more, including developments for IOT, Big Data, Security, and Cloud Services.
MLflow is an MLOps tool that enables data scientist to quickly productionize their Machine Learning projects. To achieve this, MLFlow has four major components which are Tracking, Projects, Models, and Registry. MLflow lets you train, reuse, and deploy models with any library and package them into reproducible steps. MLflow is designed to work with any machine learning library and require minimal changes to integrate into an existing codebase. In this session, we will cover the common pain points of machine learning developers such as tracking experiments, reproducibility, deployment tool and model versioning. Ready to get your hands dirty by doing quick ML project using mlflow and release to production to understand the ML-Ops lifecycle.
Tetrahedron Manufacturing Services training brochureNitin Kumar
Tetrahedron is a leading consulting & training service provider to 80+ manufacturing companies across India, with 50+ active client-engagements in Automotive,IT, Cement, Precious Metal, Leather, Textile, Pharmaceutical and Energy segment.
Tetrahedron is one of the fastest growing names in manufacturing consultancy with diverse expertise in catering to end-to-end requirement for manufacturing industry.
1. Lean Method Implementation
2. Innovation and Strategy
3. Low Cost Automation
4. Industry 4.0
5. Green Manufacturing
6. TPM – Total Productive Maintenance
7. Supply Chain Improvement
8. Developing Manufacturing Strategy
9. Design & Development
10. Quality Management System
11. Ware House Improvement and Management
12. Supplier Development and Up gradation
13. Production Planning & Control
14. Inventory Management
15. Human Resource Management in Manufacturing Companies
TestGuild and QuerySurge Presentation -DevOps for Data TestingRTTS
This slide deck is from one of our 4 webinars in our half-day series in conjunction with Test Guild.
Chris Thompson and Mike Calabrese, Senior Solution Architects and QuerySurge experts, provide great information, a demo and lots of humor in this webinar on how to implement DevOps for Data in your DataOps pipeline.
This webinar was performed in conjunction with Test Guild.
To watch the video, go to:
https://youtu.be/1ihuRPgY_rs
4. 2002 2004 2006 2008 2010 2012
Goodyear Institute of Technology
Viscoelasticity & Fracture
GeOBC Chem 109 / 110
Physics 101 / 102
Goodyear University Executive Coordinator
General Chemistry I & II
General Chemistry I Laboratory
University Physics I & II
University Physics Laboratory
Leadership Development Program
Veyance Technologies
Walsh University Kent State University
Instructor & Program Coordinator Metrics
0
20
40
60
80
100
0
5
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15
20
25
01/15 08/15 03/16
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Coursera Data Science Metrics
Genomics Data Science
Executive Data Science
Data Science
Specialization
5. 1975 20151975 1979 1983 1987 1991 1995 1999 2003 2007 2011
RefineryMay
1
AsphaltMay
1
Synthetic
FuelFeb
1
Polymer Characterization & SynthesisSep
1
Emulsion Polymerization &
PaintJul
4
Rubber, Viscoelasticity &
FractureSep
5
Tire Material Fatigue LimitMay
28
Elastomer Fracture - Characterization & SimulationMay
20
Surface Metrology & Fractal
AnalysisSep
12
Fiber
ReinforcementSep
15
Fatigue Behavior of Cord-Rubber CompositesMar 1
Ultrasonic, NDTSep
19
Testing Methodologies of Reinforced Rubber Matrix CompositesOct
21
Tire
DurabilitySep
26
Practical Test Configuration for the 3rd MillenniumSep
1
Fracture
AutomationOct
10
Composites & DurabilityOct
24
Analytical & ForensicsOct
17
EP Formulation, Characterization, Durability & ForensicsOct
31
ModelingNov
7
Chemistry, Fiber, Coating, Composites, Modeling
Jul
5
A Perspective on
SustainabilityJul
12
Master Metrology Physics & Chemistry
Jun
30
DEA Polymer Physics-Chemistry
Feb
1
EAHP Engineer, Polymer
Jul
1
US5,225,457
Jun
5
US5,513,683
May
7
US5,576,104
Nov
19
US6,502,491
Jan
7
US6,536,289
Mar
25
US6,644,122
Nov
11
US7,552,754
Jun
30
EP10,172,986
Aug
10
US8,752,591
Jun
17
USD0,671,196
Jun
24
1
10
100
1000
1980 1990 2000 2010 2020
CumulativeNumber
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Trade Secrets
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6. 1974 2015
Today
1974 1980 1986 1992 1998 2004 2010
HP-45 RPN NUMERICAL
ANALYSIS
HP-41CV RPN CHEM PHYSICS NUMERICAL ANALYSIS
VISICALC SPREADSHEET
LISP, MU-LISP-80 AI AUTOMATION
SAS STATISTICS - DOE
IRMA IBM - MAINFRAME NETWORKING
MATHEMATICA SYMBOLIC MATH
MAC TECH REPORTING
ALDUS PERSUASION PRESENTATIONS
MS WINDOWS DEVELOPMENT PLATFORM
WINDOWS 95 MS BETA TESTER, MSDN
MS OFFICE DATA ANALYSIS AND REPORTING PLATFORM
MS PROJECT PROJECT MANAGEMENT
FRONTPAGE95 WEB DEVELOPMENT
WINDOWS 98 MS BETA TESTER
MS VISIO DIAGRAMMING
SAS JMP STATISTICS, DOE, VISUALIZATION
WIN PLATFORM MSDN
MINITAB STATISTICS, 6-SIGMA PROCESS IMPROVEMENT
FRONTPAGE CONTENT DISTRIBUTION
MASTERING SERIES BETA TESTER,EARLY
ADOPTER CHEMISTRY & PHYSICS CONTENT
APACHE, webMATHEMATICA SYMBOLIC SOLVER
RELIASOFT RELIABILITY ENGINEERING
HP-67/97 RPN PROGRAM START
6502 ASSEMBLY ASSEMBLY
PET2001 MSBASIC SOLVER
FORTRAN-77 MATHEMATICS
ALGOL ALOGORITHMS
HP-98 CHARTING & COMPUTE DEV
APPLE II APPLESOFT STATISTICS
APPLE II PASCAL COMPILED STATS
MS FORTRAN-80 NUMERICAL INTEGRATION
Z80 ASSEMBLY INTERFACING
8086 ASSEMBLY FAST SOLVER MODULES
IBM-PC MSBASIC BASIC AND COMPILED BASIC
ZYMARK ROBOT AUTOMATION & ROBOTICS
PDP-11 INTERFACING, TEST CONTROL
68000 ASSEMBLY DATA 6000 ACQUISITION
FORTRAN-80 NUMERICAL ANALYSIS & RECEIPES
FORTRAN IMSL DATA REDUCTION, MODELING
HP-UX INTERFACING, TEST CONTROL
ACCESS, VB MAT PROP DATABASE
BORLAND C/C++ DATA REDUCTION
VC++ EQUIPMENT CONTROL
HTML WEB CONTENT
MS VBA AUTOMATION
IIS4, ASP2.0 WEB REMOTE TESTING AND SCRIPTING
IEDK, JAVA WEB AUTHORING
SQL MAT DATABASE
VIRTUAL MACHINE LEGACY SOFTWARE LIFE EXTENSION
R, RSTUDIO, SHINY STATISTICS, MACHINE LEARNING
PYTHON DATA SCIENCE, MINING, GENOMICS
VM - UNIX UBUNTU UNIX CMD LINES FOR
GENOMICS
VM- MAC OSX MULTI-PLATFORM TOOLS
& DEV