When: Thurs 3rd of Sept, 1p AEST
Where: This seminar will be presented online, RSVP here.
Speaker: Mohammadreza Chamanbaz
Title: Distributed robust optimization: A randomized approach
Abstract: A wide class of interconnected systems ranging from power grid, chemical refinery plant, and water distribution system to wireless sensor network, and swarm robotics fall in the category of cyber-physical systems. Control of such a complex networked-system has raised a number of new challenges. Conventionally, a single node or agent having access to all the information solves the control problem and manages the entire networked-system. However, with the advancement of embedded electronics and communication technology enabling local computation and low-cost communication, distributed optimization and control has gained a significant attention. In this talk, we will present an algorithm for solving distributed optimization problems in an uncertain environment. We consider a fairly general class of optimization problems being mixed-integer convex programs affected by a large number of uncertain parameters. In particular, we consider a network of processors aiming at cooperatively solving the uncertain optimization problem. Each node only knows a common cost function and its local uncertain constraint set. We propose a randomized, distributed algorithm working under time-varying, asynchronous and directed communication topology.
Bio: Mohammadreza Chamanbaz received his PhD in Control Science from the Department of Electrical & Computer Engineering, National University of Singapore in 2014. He was with Data Storage Institute, Singapore as research scholar from 2010 to 2014 and with Singapore University of Technology and Design as postdoctoral research fellow from 2014 to 2017. Dr. Chamanbaz was assistant Professor in Arak University of Technology from 2017 to 2019 and senior research fellow in iTrust Centre for Research in Cyber-security from 2019 to 2020. He is currently research fellow in Australian Centre for Field Robotics and his research activities are mainly focused on probabilistic and randomized algorithms for solving uncertain optimization problems.