activity
20182026
most citedAustralia's long-term electricity demand forecasting using deep neural networks

17 citations · 26 across the 12 of their papers we have counts for

collaborators

13 papers

cs.LG2026

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…

eess.SY2026

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…

cs.LG2025

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…

math.OC2025

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…

math.OC2025

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…

eess.SY2025

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…