collaborators

5 papers

math.OC2020

On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients

Berkay Turan, Cesar A. Uribe, Hoi-To Wai +1

Numerous modern optimization and machine learning algorithms rely on subgradient information being trustworthy and hence, they may fail to converge when such information is corrupt…

math.OC2020

Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation

Berkay Turan, Cesar A. Uribe, Hoi-To Wai +1

Distributed algorithms for multi-agent resource allocation can provide privacy and scalability over centralized algorithms in many cyber-physical systems. However, the distributed…

eess.SY2019

Dynamic Pricing and Fleet Management for Electric Autonomous Mobility on Demand Systems

Berkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh

The proliferation of ride sharing systems is a major drive in the advancement of autonomous and electric vehicle technologies. This paper considers the joint routing, battery charg…

eess.SY2019

Online Charge Scheduling for Electric Vehicles in Autonomous Mobility on Demand Fleets

Nathaniel Tucker, Berkay Turan, Mahnoosh Alizadeh

In this paper, we study an online charge scheduling strategy for fleets of autonomous-mobility-on-demand electric vechicles (AMoD EVs). We consider the case where vehicles complete…

eess.SY2019

Smart Charging Benefits in Autonomous Mobility on Demand Systems

Berkay Turan, Nathaniel Tucker, Mahnoosh Alizadeh

In this paper, we study the potential benefits from smart charging for a fleet of electric vehicles (EVs) providing autonomous mobility-on-demand (AMoD) services. We first consider…