Sayed Abdullah Sadat
Collaborator @Argonne National Laboratory
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WORK HISTORY
Collaborator @Argonne National Laboratory
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
University of South Florida
Master’s Degree, Electrical Engineering, 4.0
University of Utah
Doctor of Philosophy - PhD (Candidate), Power Systems Optimization, 4.0
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.
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