Sayed Abdullah Sadat
Research Aide at Argonne National Laboratory
- Role
- Collaborator at Argonne National Laboratory
- Location
- Salt Lake City, UT, US
- LinkedIn followers
- 500 followers
About Sayed Abdullah Sadat
I am a Ph.D. candidate in Electrical and Computer Engineering at the University of Utah, working on developing industry-grade competitive algorithms for reliable and economic power dispatch as part of the U.S. Department of Energy\'s ARPA-e program. My areas of research interest and specialization include tool development for power system operations, planning, cascading failures, and market. I am passionate about combining mathematical modeling, optimization, parallel & high-performance computing, and machine learning skills to develop state-of-art industry-grade algorithms. Skills: LP, Nonlinear Programming, MIP, Julia, python, C/C++, OpenCL, Machine-Learning, and Deep Reinforced Learning.
Experience
Collaborator
Aug 2021 — Present
I am working with the Mathematics and Computer Science Division (MCS) at Argonne National Laboratory, focusing on the following tasks: 1. Studying the co-optimization of Transmission and Distribution system operations, considering different network management techniques, including active network management (ANM) in distribution systems with distributed renewable resources (DERs). Studying sequential linear programming method and improving the performance of our Julia-based SLP solver. Studying feasibility restoration techniques for nonlinear optimization problems. Studying the impact of linear initialization of sequential linear programming.
Education
Osmania University
Bachelor’s Degree, Electrical and Electronics Engineering
2009 — 2013
University of South Florida
Master’s Degree, Electrical Engineering, 4.0
2015 — 2017
University of Utah
Doctor of Philosophy - PhD (Candidate), Power Systems Optimization, 4.0
2017 — 2021
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