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
- Fertiglobe, Covestro and TA’ZIZ sign MoU to explore strategic ammonia collaboration 2/9
- S-Oil signs nearly $4-B PE marketing deal with SABIC 2/9
- Indonesia's Pertamina launches $7-B natural resources processing initiative 2/9
- Digital Exclusive: Innovative grassroots CDU-VDU configuration—Pioneering energy efficiency and net-zero pathways in modern refineries 2/9
- Update: Union agrees to U.S. refineries contract, averting nationwide strike 2/9
- Schneider Electric unveils EcoStruxure™ Foxboro software defined automation 2/9
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
