activity
20102022
most cited-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming

7 citations · 19 across the 18 of their papers we have counts for

collaborators

19 papers

math.OC2022

Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part II: Theoretical & Computational Results

Ramtin Madani, Mersedeh Ashraphijuo, Mohsen Kheirandishfard +1

In the first part of this work [32], we introduce a convex parabolic relaxation for quadratically-constrained quadratic programs, along with a sequential penalized parabolic relaxa…

math.OC2022

Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part I: Definitions & Basic Properties

Ramtin Madani, Mersedeh Ashraphijuo, Mohsen Kheirandishfard +1

For general quadratically-constrained quadratic programming (QCQP), we propose a parabolic relaxation described with convex quadratic constraints. An interesting property of the pa…

eess.SY2022

Proactive Posturing of Large Power Grid for Mitigating Hurricane Impacts

Edward Quarm Jnr., Xiaoyuan Fan, Marcelo Elizondo +1

In the past decade, natural disasters such as hurricanes have challenged the operation and control of U.S. power grid. It is crucial to develop proactive strategies to assist grid…

math.OC2022★ 3 cited

A First-Order Numerical Algorithm without Matrix Operations

Muhammad Adil, Ramtin Madani, Sasan Tavakkol +1

This paper offers a matrix-free first-order numerical method to solve large-scale conic optimization problems. Solving systems of linear equations pose the most computationally cha…

cs.RO2022

Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning

Alex Sabol, Kyongsik Yun, Muhammad Adil +2

In this paper we describe a machine learning based framework for spacecraft swarm trajectory planning. In particular, we focus on coordinating motions of multi-spacecraft in format…

cs.RO2021

Optimal Multi-Robot Motion Planning via Parabolic Relaxation

Changrak Choi, Muhammad Adil, Amir Rahmani +1

Multi-robot systems offer enhanced capability over their monolithic counterparts, but they come at a cost of increased complexity in coordination. To reduce complexity and to make…