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
- Valero Energy Q4 profit beats estimates; shares surge 1/30
- Dow launches "Transform to Outperform" to raise the competitive industry benchmark for productivity and growth to enable improved returns 1/30
- Russian oil refineries' peak maintenance expected in January and September 1/30
- U.S. lifts some Venezuela sanctions to ease oil sales 1/30
- Keppel, Aster plan sustainable aviation fuel project in Singapore 1/30
- Boeing, Israel's Technion to develop sustainable aviation fuel, as sector grapples with 2050 goal 1/30
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
