A5030903468- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Nonlinear Dynamics and Pattern Formation
- Neural dynamics and brain function
- Neural Networks Stability and Synchronization
- Electric Vehicles and Infrastructure
- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Functional Brain Connectivity Studies
- Advanced Battery Technologies Research
- Energy Load and Power Forecasting
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- EEG and Brain-Computer Interfaces
- Distributed Control Multi-Agent Systems
- Mental Health Research Topics
- Frequency Control in Power Systems
- Human Mobility and Location-Based Analysis
- Optimal Power Flow Distribution
- stochastic dynamics and bifurcation
- Image Retrieval and Classification Techniques
- Electric and Hybrid Vehicle Technologies
- Power System Optimization and Stability
RMIT University
2016-2025
RMIT Europe
2017-2024
MIT University
2014-2023
ORCID
2020
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2017
CEA Cadarache
2017
Data61
2017
Sharif University of Technology
2009-2015
University of Neyshabur
2011
Islamic Azad University, Tehran
2009-2011
Information cascades are important dynamical processes in complex networks. An information cascade can describe the spreading dynamics of rumour, disease, memes, or marketing campaigns, which initially start from a node set nodes network. If conditions right, rapidly encompass large parts network, thus leading to epidemics epidemic spreading. Certain network topologies particularly conducive epidemics, while others decelerate and even prohibit rapid Here we review models that networks, with...
Online social networks play a major role in modern societies, and they have shaped the way relationships evolve. Link prediction has many potential applications such as recommending new items to users, friendship suggestion discovering spurious connections. Many real evolve connections multiple layers (e.g. networking platforms). In this article, we study link problem multiplex networks. As an example, consider network of Twitter (as microblogging service) Foursquare location-based network)....
Many technological networks can experience random and/or systematic failures in their components. More destructive situations happen if the components have limited capacity, where failure one of them might lead to a cascade other components, and consequently break down structure network. In this paper, tolerance cascaded was investigated weighted networks. Three weighting strategies were considered including betweenness centrality edges, product degrees end nodes, centralities. Then, effect...
Due to the explosion of available information on Internet, need for effective means accessing and processing them has become vital everyone. Recommender systems have been developed help users find what they may be interested in business owners sell their products more efficiently. They found much attention both academia industry. A recommender algorithm takes into account user–item interactions, i.e., rating (or purchase) history items, contextual information, if available. It then provides...
Abstract The human brain can be modelled as a complex networked structure with regions individual nodes and their anatomical/functional links edges. Functional networks are constructed by first extracting weighted connectivity matrices then binarizing them to minimize the noise level. Different methods have been used estimate dependency values between obtain binary network from matrix. In this work we study topological properties of EEG-based functional in Alzheimer’s Disease (AD). To...
This paper presents the design of a new continuous third-order sliding mode robust control scheme dedicated to trajectory tracking piezoelectric-actuated motion system. One uniqueness developed controller is that it achieves inherent chattering-free action with finite-time convergence. The model uncertainty including hysteresis effect estimated by perturbation estimation technique. Higher order derivatives position are using observer. A novel (TOSMC) devised and its stability proven based on...
Abstract Whether it be the passengers’ mobility demand in transportation systems, or consumers’ energy power grids, primary purpose of many infrastructure networks is to best serve this flow demand. In reality, volume fluctuates unevenly across complex while simultaneously being hindered by some form congestion overload. Nevertheless, there little known about how heterogeneity influences network dynamics under congestion. To explore this, we introduce a percolation-based analysis framework...
Power grids are cyber-physical systems and can be modelled as network where individual units (generators, busbars loads) interconnected through physical cyber links. Network components (nodes/edges) may undergo intentional and/or random failures. In catastrophic cases, a failure initiating from small set of these quickly propagate the whole network, leading to cascade failures that might force deep whole-grid blackout. Often have different vitality protecting some is more critical than...
This paper presents a new prosumer-centric peer-to-peer (P2P) energy trading framework incorporating the network-secure export–import limits, known as dynamic operating envelope (DOE), for prosumers considering their preferences to trade in local market. In proposed framework, DOE-integrated management algorithm is developed electric vehicles (EVs) charge–discharge and photovoltaic (PV) systems. The allows operate within defined DOE, aligning with of EV-owning by managing desired EV battery...
The increasing drive towards eco-friendly environment motivates the generation of energy from renewable sources (RESs). rising share RESs in power poses potential challenges, including uncertainties output, frequency fluctuations, and insufficient voltage regulation capabilities. As a solution to these storage systems (ESSs) play crucial role storing releasing as needed. Battery (BESSs) provide significant maximize efficiency distribution network benefits different stakeholders. This can be...