185 citations · 211 across the 13 of their papers we have counts for
13 papers
Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
Qiyu Rao, Haozhe Tian, Homayoun Hamedmoghadam +1
Denoising electroencephalogram (EEG) is an inherently challenging task, since neural activity is not only subtle but also inseparable from spectrally overlapping noise artifacts. T…
Robust Dynamic Pricing and Admission Control with Fairness Guarantees
Yingqing Chen, Anni Li, Christos G. Cassandras +3
Dynamic pricing is commonly used to regulate congestion in shared service systems. This paper is motivated by the fact that in the presence of users with varying price sensitivity…
Learning Network Dismantling Without Handcrafted Inputs
Haozhe Tian, Pietro Ferraro, Robert Shorten +2
The application of message-passing Graph Neural Networks has been a breakthrough for important network science problems. However, the competitive performance often relies on using…
Dynamic access pricing control for fair and stable resource sharing
Christopher King, Fabian R. Wirth, Homayoun Hamedmoghadam +2
We consider the co-existence of users with different price sensitivities under dynamic (or surge) pricing that regulates how they access a shared resource. To balance supply and de…
Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
Vyacheslav Kungurtsev, Alessandro Di Frenna, Gustav Sir +5
Research, innovation and practical capital investment have been increasing rapidly toward the realization of autonomous physical agents. This includes industrial and service robots…
Vehicle Dynamics Control for Simultaneous Optimization of Tire Emissions and Performance in EVs
Chi-Bach Pham, Homayoun Hamedmoghadam Rafati, Robert Noel Shorten
In recent years, Electric Vehicles (EVs) have seen widespread public adoption. While EVs produce zero tailpipe emissions, they contribute to an increase in another type of vehicula…
On Optimal Battery Sizing for Electric Vehicles
Felix Wieberneit, Emanuele Crisostomi, Anthony Quinn +3
In this paper, we introduce a quantitative framework to optimize electric vehicle (EV) battery capacities, considering two criteria: upfront vehicle cost and charging inconvenience…
Tree Proof-of-Position Algorithms
Aida Manzano Kharman, Pietro Ferraro, Homayoun Hamedmoghadam +1
We present a novel class of proof-of-position algorithms: Tree-Proof-of-Position (T-PoP). This algorithm is decentralised, collaborative and can be computed in a privacy preserving…
Quantifying indirect and direct vaccination effects arising in the SIR model
Lixin Lin, Homayoun Hamedmoghadam, Robert Shorten +1
Vaccination campaigns have both direct and indirect effects that act to control an infectious disease as it spreads through a population. Indirect effects arise when vaccinated ind…
Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems
Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten +1
Reinforcement Learning (RL) is a powerful method for controlling dynamic systems, but its learning mechanism can lead to unpredictable actions that undermine the safety of critical…
Electric Vehicle E-hailing Fleet Dispatching and Charge Scheduling
Linji Chen, Homayoun Hamedmoghadam, Mahdi Jalili +1
With recent developments in vehicle and battery technologies, electric vehicles (EVs) are rapidly getting established as a sustainable alternative to traditional fossil-fuel vehicl…
A simple contagion process describes spreading of traffic jams in urban networks
Meead Saberi, Mudabber Ashfaq, Homayoun Hamedmoghadam +8
The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analy…
Australia's long-term electricity demand forecasting using deep neural networks
Homayoun Hamedmoghadam, Nima Joorabloo, Mahdi Jalili
Accurate prediction of long-term electricity demand has a significant role in demand side management and electricity network planning and operation. Demand over-estimation results…