Mahdi Jalili

RMIT University

Australia

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Articles (20)

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2026

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2025

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2023

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2023

Collaborators (13)

Seppo Sierla

Aalto University

FINLAND

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Hui Song

RMIT University

AUSTRALIA

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Mohsen Khorasany

MONASH UNIVERSITY

AUSTRALIA

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Ali Moradi Amani

Senior Lecturer

RMIT University

AUSTRALIA

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Hamid Khayyam

Senior Lecturer

RMIT University

AUSTRALIA

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kamal berahmand

Queensland University of Technology

AUSTRALIA

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Ali Jamali

Visiting Professor

Kyungpook National University

SOUTH KOREA

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Andrew Jennings

La Trobe University

AUSTRALIA

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Hao Wang

Lecturer (a.k.a. Assistant Professor)

MONASH UNIVERSITY

AUSTRALIA

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Maryam Haghighat

Queensland University of Technology

AUSTRALIA

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Shirui Pan

Professor and ARC Future Fellow

Griffith University

AUSTRALIA

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Richi Nayak

Queensland University of Technology

AUSTRALIA

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Amir Sheikhahmadi

RMIT University

AUSTRALIA

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Mahdi Jalili

Research Interests

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Articles (20)

Multi-structural view knowledge distillation for node influence prediction in complex networks

Semi-supervised feature selection with concept factorization and robust label learning

Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering

Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey

A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges

Adaptive Multi-Armed Bandit Reinforcement Learning-Based Energy Management and Real-Time Control System for Autonomous Vehicles

Dynamic Operating Envelope-Integrated Cooperative Energy Trading: A Fair Allocation Approach

Recommender Systems Based on Nonnegative Matrix Factorization: A Survey

Enhancing Human Activity Recognition With Smartphone Sensors: A Deep Semi-Supervised Approach

Two-level attention mechanism with contrastive learning for heterogeneous graph representation learning

Network-Aware Coordination of Aggregated Electric Vehicles Considering Charge–Discharge Flexibility

A machine learning-based approach for vital node identification in complex networks

Artificial Intelligence for Electric Vehicle Infrastructure: Demand Profiling, Data Augmentation, Demand Forecasting, Demand Explainability and Charge Optimisation

Control and Optimisation of Power Grids Using Smart Meter Data: A Review

Data-Driven Predictive Control of CVT System for Improving Energy Efficiency of Autonomous Vehicles

Deep Federated Learning-Based Privacy-Preserving Wind Power Forecasting

Discovering Important Nodes of Complex Networks Based on Laplacian Spectra

Dynamic Operating Envelope-Based Local Energy Market for Prosumers with Electric Vehicles

Ensemble Classification Model for EV Identification From Smart Meter Recordings

Learning Graph Representations With Maximal Cliques

Collaborators (13)

Seppo Sierla

Hui Song

Mohsen Khorasany

Ali Moradi Amani

Hamid Khayyam

kamal berahmand

Ali Jamali

Andrew Jennings

Hao Wang

Maryam Haghighat

Shirui Pan

Richi Nayak

Amir Sheikhahmadi

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