Syed Mahfuzul Aziz

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Professor

University of South Australia

Australia

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About

Dr. Syed Mahfuzul Aziz is a Professor at the University of South Australia. His research interests include electric vehicle charging impacts on distribution networks, renewable energy systems, and advanced machine learning applications for agriculture and power systems. His recent articles focus on topics such as energy cost optimization, frequency response characteristics of power systems, and innovative models for electric vehicle integration. Dr. Aziz is committed to advancing sustainable energy solutions in Australia.

Recent Grants

Grant: Close

Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract

Open Date: 2010-12-01

Close Date: 2014-12-01

Articles (18)

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2025

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2024

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (4)

VANIKA SHARMA

University of South Australia

AUSTRALIA

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Mohammad Uddin

University of South Australia

AUSTRALIA

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Mohammed Haque

University of South Australia

AUSTRALIA

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Joarder Kamruzzaman

Federation University Australia

AUSTRALIA

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Syed Mahfuzul Aziz

Research Interests

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About

Recent Grants

Articles (18)

New staggered time-of-use tariffs to mitigate the impact of electric vehicle charging demand on distribution networks

Comprehensive Assessment of Electric Vehicle Charging Impact on Distribution Networks: Integrating Diversity in Fleet and Electricity Tariffs

Datasets on probability distributions of arrival and departure times of privately used electric vehicles

Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage

Enhancing Frequency Response Characteristics of Low Inertia Power Systems Using Battery Energy Storage

Reducing Overvoltage-Induced PV Curtailment Through Reactive Power Support of Battery and Smart PV Inverters

An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification

Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique

Smart inverter and battery storage controls to reduce financial loss due to overvoltage-induced PV curtailment in distribution feeders

Techno-economic modelling for energy cost minimisation of a university campus to support electric vehicle charging with photovoltaic capacity optimisation

Techno-economic modelling for energy cost optimisation of households with electric vehicles and renewable sources under export limits

Remote reconfiguration of FPGA-based wireless sensor nodes for flexible Internet of Things☆

Energy Economy of Households With Photovoltaic System and Battery Storage Under Time of Use Tariff With Demand Charge

Evaluating Energy Generation Capacity of PVDF Sensors: Effects of Sensor Geometry and Loading

FlexiS—A Flexible Sensor Node Platform for the Internet of Things

Low-Complexity Aggregation Techniques for DOA Estimation over Wide-RF Bandwidths

Experimental validation of direction of arrival estimation for high chirp‐rate linear frequency modulated radar signals

Effects of high solar photovoltaic penetration on distribution feeders and the economic impact

Collaborators (4)

VANIKA SHARMA

Mohammad Uddin

Mohammed Haque

Joarder Kamruzzaman

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