Hamid Khayyam

Senior Lecturer

RMIT University

Australia

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Hamid Khayyam is a Senior Lecturer at RMIT University in Australia. His research focuses on machine learning applications in energy management, autonomous vehicles, and predictive control systems. Recent publications include studies on augmented robustness in home demand prediction and innovations in immersion cooling for lithium-ion batteries. He is dedicated to advancing sustainable technologies and improving decision-making processes in various engineering fields.

Articles (16)

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2020

Collaborators (10)

Reza Hoseinnezhad

RMIT University

AUSTRALIA

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Ali Moradi Amani

Senior Lecturer

RMIT University

AUSTRALIA

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Hormoz Marzbani

RMIT University

AUSTRALIA

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Chow Yin Lai

University College London

UNITED KINGDOM

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Mahdi Jalili

RMIT University

AUSTRALIA

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Ehsan Asadi

Senior Lecturer

RMIT University

AUSTRALIA

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Reza Langari

Professor

Texas A&M University

UNITED STATES

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Ali Jamali

Visiting Professor

Kyungpook National University

SOUTH KOREA

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Nima Amjady

Professor and director of CfNETR

Federation University

AUSTRALIA

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Abhijit Date

RMIT University

AUSTRALIA

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Hamid Khayyam

Research Interests

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Articles (16)

Immersion cooling innovations and critical hurdles in Li-ion battery cooling for future electric vehicles

Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation

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

Enhancing Decision-Making Clarity: Layered Set-Based Similarity Measures for Probabilistic Hesitant Fuzzy Sets

An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price

Integrated Intelligent Control Systems for Eco and Safe Driving in Autonomous Vehicles

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

Real-time self-adaptive Q-learning controller for energy management of conventional autonomous vehicles

Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles

Balancing and Tracking Control of Ballbot Mobile Robots Using a Novel Synchronization Controller Along With Online System Identification

Design and adaptive control of a kinematically redundant robot with enhanced trajectory tracking for climbing in tight spaces

Experimental and Theoretical Study on Mechanical Performance of a Sustainable Method to Simultaneously Generate Power and Fresh Water

Intelligent Driver Assistance and Energy Management Systems of Hybrid Electric Autonomous Vehicles

Smart Autodriver Algorithm for Real-Time Autonomous Vehicle Trajectory Control

Renewable Thermal Energy Driven Desalination Process for a Sustainable Management of Reverse Osmosis Reject Water

Energy management system of networked microgrids through optimal reliability-oriented day-ahead self-healing scheduling

Collaborators (10)

Reza Hoseinnezhad

Ali Moradi Amani

Hormoz Marzbani

Chow Yin Lai

Mahdi Jalili

Ehsan Asadi

Reza Langari

Ali Jamali

Nima Amjady

Abhijit Date

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