Zakeri, S.
Sepide Zakeri is a Senior Applied ML Scientist (Applications) at Seeq, where she leads the development, implementation and commercialization of new analytics and ML technology for the process industries. Dr. Zakeri earned a PhD in petroleum engineering from the University of Tulsa in Oklahoma.
Data, algorithms and collaboration combine for machine-learning success
Environment & Safety
/ Maintenance & Reliability
/ Petrochemicals
/ Process Control
/ Process Optimization
/ Refining
/ Engineering & Design
/ Environment
/ Equipment
/ Information Systems
/ Loss Prevention
/ Safety
/ Americas
/ Europe
Process manufacturers are investing significant resources in machine-learning (ML) to increase reliability, profitability and sustainability in their operations—saving millions of dollars in short periods of time through increased efficiency.
- 1
- ... 1 pages
Current Digital Edition
Sign up to Receive Our Newsletter
Latest News
- Rönesans Holding closes financing on $2-B PP production plant in Türkiye 4/17
- Saneg launches a company to develop business in the aviation fuel segment 4/17
- More than 100 employees leave U.S. EIA, putting crucial energy data at risk 4/17
- Russia ramps up oil products supplies to Indonesia 4/17
- India eyes ending import tax on U.S. ethane and LPG in trade talks 4/17
- Russia's diesel output to rise in May despite seasonal maintenance 4/17
Construction Boxscore: Project Spotlight
Project:
Long Son Petrochemicals Complex
Location:
Long Son, Vietnam
Operator:
Siam Cement Group
Cost:
$5.4 B
Capacity:
1.65 MMtpy
Completion date:
2023
Status:
Under Construction
