Ramtin Madani Assistant Professor Department of Electrical Engineering The University of Texas at Arlington
My research focuses on developing algorithms for optimization, control and design of real-world complex systems such as electric power grids.
Email: ramtin.madani (at) uta.edu Office: Nedderman Hall, Room 539 Arlington, TX 76019
October 2016: New paper on a distributed numerical algorithm for large-scale semidefinite programming: Distributed Computation for Sparse Semidefinite Programming with Applications to Power Optimization Problems
September 2016: Our paper ‘‘Convex Relaxation for Optimal Power Flow Problem: Mesh Networks’’ joint work with Dr. Somayeh Sojoudi and Prof. Javad Lavaei has been selected to receive the INFORMS ENRE Energy 2016 Best Publication Award.
September 2016: Our paper Power System State Estimation and Bad Data Detection by Means of Conic Relaxation will be presented in Hawaii International Conference on System Sciences (HICSS-50).
September 2016: Our paper Constraint Screening for Security Analysis of Power Networks will appear in IEEE Transactions on Power Systems.
August 2016: Talk at MOPTA conference
Convexification of Power Flow Equations for Power Systems in Presence of Noisy Measurements and Bad Data
July 2016: Our three papers will be presented in 55th IEEE Conference on Decision and Control:
Power System State Estimation with a Limited Number of Measurements
Power System State Estimation with Line Measurements
Characterization of Rank-Constrained Feasibility Problems via a Finite Number of Convex Programs
June 2016: New paper on power systems state estimation: Convexification of Power Flow Equations for Power Systems in Presence of Noisy Measurements
June 2016: Three talks at INFORMS International Conference:
On Minimal Characterization Of Feasible Sets Of Security-constrained Unit-commitment Problems
Low-rank Solutions Of Sparse Linear Matrix Inequalities
Penalized Semidefinite Programming Relaxation For Polynominal Optimization Problems
May 2016: I will join the Electrical Engineering Department at University of Texasâ€“Arlington as an assistant professor in September 2016.
May 2016: I will give a talk at Federal Energy Regulatory Commission.
May 2016: I will give two talks at INFORMS International Conference.
March 2016: Our paper Convex Relaxation for Optimal Distributed Control Problems to appear in IEEE Transactions on Automatic Control
March 2016: New paper on power system state estimation: Power System State Estimation with a Limited Number of Measurements
March 2016: New paper on power system state estimation: Power System State Estimation with Line Measurements
January 2016: I will give a tutorial on power system state estimation problem at INFORMS Optimization Society Conference 2016.
November 2015: New paper on large-scale security-constrained optimization problems: Constraint Screening for Security Analysis of Power Networks
November 2015: Three talks at INFORMS Annual Meeting.
A Fast Distributed Algorithm for Power Optimization Problems
Convexification of Power Flow Problem over Arbitrary Networks
Graph-theoretic Convexification of Power Optimization Problems
October 2015: I joined the department of Industrial Engineering and Operations Research at UC Berkeley as a Postdoctoral Scholar.
July 2015: Our three papers will be presented in IEEE Conference on Decision and Control 2015:
ADMM for Sparse Semidefinite Programming with Applications to Optimal Power Flow Problem,
Convexification of Power Flow Problem over Arbitrary Networks,
Inverse Function Theorem for Polynomial Equations using Semidefinite Programming.
July 2015: Two talks at International Symposium on Optimization.
Convexification of Optimal Power Flow Problem
Graph-Theoretic Convexification of Polynomial Optimization Problems: Theory and Applications
May 2015: I won a Research Award from the Electrical Engineering department of Columbia University.
March 2015: New paper on distributed computation for power systems: ADMM for Sparse Semidefinite Programming with Applications to Optimal Power Flow Problem
March 2015: New paper on convex formulation of power flows: Convexification of Power Flow Problem over Arbitrary Networks
March 2015: New paper on inverse of polynomial functions: Inverse Function Theorem for Polynomial Equations using Semidefinite Programming
March 2015: Our paper Promises of Conic Relaxation for Contingency-Constrained Optimal Power Flow Problem to appear in IEEE Transactions on Power Systems
November 2014: Our paper Low-Rank Solutions of Matrix Inequalities With Applications to Polynomial Optimization and Matrix Completion Problems has been selected as one of the 4 finalists for the best student paper award at IEEE Conference on Decision and Control 2014.