Dr Akhlaqur Rahman :Engineering Institute of Technology

Dr Akhlaqur Rahman (AK) is the Academic Course Coordinator and Lecturer for the school of Industrial Automation at Engineering Institute of Technology (EIT), Melbourne, Australia. AK is also member of IEEE and Engineers Australia (MIEAust). Akhlaqur completed his PhD from Swinburne University of Technology in 2019. Before joining Swinburne, he was a Lecturer and Coordinator for the Department of Electrical and Electronic Engineering, Uttara University, Dhaka, Bangladesh, from 2013 to 2014. From 2018 to 2019, he was involved as Research Assistant at Deakin University. Overall AK has 8 years of teaching experience in Bangladesh, Australia and Online.

Akhlaqur (AK) is an experienced Electrical and Mechatronics researcher looking to apply my education background, managerial experience and hoping to make a difference in the world. He has over 20+ publication (3 Q1 Journals, 3 top flagship conferences) and is also reviewer for IEEE TII, and MDPI Robotics Journal. AK’s research interests include cloud networked robotics, task offloading, Industry 4.0 Automation, energy efficiency, optimization, smart manufacturing and Internet of Things (IoT).

Besides that, AK is a Competent Communicator and effective leader, having received the “Swinburne Emerging Leadership Award” from Swinburne University. He communication aptitude is also backed up by his great IELTS score and being the winner at the “3 Minute Thesis Competition”. Akhlaqur has also won the IEEE Travel Grant for IEEE Globecom and was the First Ever MATLAB Student Ambassador in Australia (29 in the world) as an employee of Mathworks, Inc.

Given his experience, AK is looking forward to challenging himself with opportunities in industry as well as academia. Research

Publications and News

An Optimization Algorithm for Embedded Raspberry Pi Pico Controllers for Solar Tree Systems

30 April, 2024

Solar photovoltaic (PV) systems stand out as a promising solution for generating clean, carbon-free energy. However, traditional solar panel installations often require extensive land resources, which could become scarce as the population grows. To address this challenge, innovative approaches are needed to maximize solar power generation within limited spaces. One...Read More

Design Optimization of a Grid-Tied Hybrid System for a Department at a University with a Dispatch Strategy-Based Assessment

23 March, 2024

In this research project, the optimal design and design evaluation of a hybrid microgrid based on solar photovoltaics, wind turbines, batteries, and diesel generators were performed. The conventional grid-tied mode was used in addition to dispatch strategy-based control. The study’s test location was the loads in the Electrical, Electronic and...Read More

Enhancing Off-Grid Renewable Systems with Demand-Side Management

26 June, 2023

Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery TechnologiesRural electrification is necessary for both the country’s development and the well-being of the villagers. The current study investigates the feasibility of providing electricity to off-grid villages in the Indian state of Odisha by...Read More

Cloud-Empowered Data-Centric Paradigm for Smart Manufacturing

3 April, 2023

In the manufacturing industry, there are claims about a novel system or paradigm to overcome current data interpretation challenges. Anecdotally, these studies have not been completely practical in real-world applications (e.g., data analytics). This article focuses on smart manufacturing (SM), proposed to address the inconsistencies within manufacturing that are often...Read More

Grid Connected Microgrid Optimization and Control for a Coastal Island in the Indian Ocean

23 December, 2022

For the suggested site in the Maldives, this research paper analyzes the possibility of a hybrid renewable microgrid that is dispatch strategy-governed in both off-grid and on-grid scenarios. The planned microgrid’s techno-environmental-economic-power-system responses have been assessed. Both the power system response study and the techno-environmental-economic study of the modelled microgrid...Read More

Operation and Assessment of a Microgrid for Maldives: Islanded and Grid-Tied Mode

22 November, 2022

This research work examines the prospect of a dispatch strategy governed hybrid renewable energy microgrid for the proposed location in Maldives for both off and on grid conditions. The techno-environmental-economic-power system responses of the proposed microgrid have been evaluated. The techno-environmental-economic analysis of the proposed microgrid has been conducted utilizing...Read More

A glance at engineering skill gaps, and how to address them

1 August, 2022

Looking at the year ahead, we approached EIT lecturers, esteemed academics and industry professionals, to share their wisdom and identify potential engineering skill gaps which could be faced in 2023. We posed the following three questions to each of our experts: What are some skill gaps engineers could possibly face...Read More

Efficient Energy Distribution for Smart Household Applications

3 March, 2022

Energy distribution technique is an essential obligation of an intelligent household system to assure optimal and economical operation. This paper considers a small-scale household system detached from the power grids consisting of some electrical components in day-to-day life. Optimal power distribution generated from a photovoltaic system is vital for ensuring...Read More

A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data

4 January, 2022

Peak load reduction is one of the most essential obligations and cost-effective tasks for electrical energy consumers. An isolated microgrid (IMG) system is an independent limited capacity power system where the peak shaving application can perform a vital role in the economic operation. This paper presents a comparative analysis of...Read More

A Study on Sensor System Latency in VR Motion Sickness

6 August, 2021

One of the most frequent technical factors affecting Virtual Reality (VR) performance and causing motion sickness is system latency. In this paper, we adopted predictive algorithms (i.e., Dead Reckoning, Kalman Filtering, and Deep Learning algorithms) to reduce the system latency. Cubic, quadratic, and linear functions are used to predict and...Read More

Industry 4.0 Applications for Medical/Healthcare Services

30 June, 2021

At present, the whole world is transitioning to the fourth industrial revolution, or Industry 4.0, representing the transition to digital, fully automated environments, and cyber-physical systems. Industry 4.0 comprises many different technologies and innovations, which are being implemented in many different sectors. In this review, we focus on the healthcare...Read More

A Magnetic Hybrid Stationary Bicycle Design for Improved Standalone Power Generation

5 March, 2021

With the aim of developing smart standalone systems for improving power generation, this paper is focused on implementation of a hybrid stationary exercise bicycle for generating electricity with increased output power. With that in mind, the concept of magnetic forces has been utilized to assist the cyclist pedaling action, which...Read More

Load Profile Segmentation using Residential Energy Consumption Data

5 March, 2021

In this paper, a new approach for load profile segmentation is investigated for residential energy consumption. The proposed approach considers the daily level granularity and identifies dominant patterns of energy consumption for individual participants. The analysis uses adaptive k-means clustering to determine the number of clusters that improve the distances...Read More

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

23 February, 2021

Robotic applications nowadays are widely adopted to enhance operational automation and performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0, agriculture, healthcare, and disaster management. These applications are composed of latency-sensitive, data-heavy, and compute-intensive tasks. The robots, however, are constrained in the computational power and storage capacity. The concept of...Read More

Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence

23 February, 2021

Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, the disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding the accuracy of those methods as they are often challenged by limited...Read More

An Awareness Study of Smart Meters Radiation on Human Head

16 December, 2020

In the current state-of-the-art for smart grid technology, A key proponent for progress has been the advances made in the domain of smart meters. Essentially, smart meters are digital devices that use the wireless radio frequency (RF) technology to communicate in real-time with the energy utility company. Similar to their...Read More

Energy-efficient optimal task offloading in cloud networked multi-robot systems

28 May, 2019

Task offloading plays a critical role in cloud networked multi-robot systems for leveraging computation support from cloud infrastructure and benefiting greatly from the well-developed cloud network facilities. However, considering the delay constraint, the extra costs of data transmission and remote computation, it is not trivial to make optimized offloading decisions....Read More

Communication-aware cloud robotic task offloading with on-demand mobility for smart factory maintenance

7 October, 2018

The fourth industrial revolution introduces an ideal opportunity for inclusion of cloud-enabled robots in a factory environment to improve productivity and reduce human intervention. For this novel paradigm, task offloading plays a critical role in leveraging computation support from resourceful cloud infrastructure. In particular, network connectivity and on-demand mobility of...Read More

Cloud-Enhanced Robotic System for Smart City Crowd Control

21 December, 2016

Cloud robotics in smart cities is an emerging paradigm that enables autonomous robotic agents to communicate and collaborate with a cloud computing infrastructure. It complements the Internet of Things (IoT) by creating an expanded network where robots offload data-intensive computation to the ubiquitous cloud to ensure quality of service (QoS)....Read More

Research Area	Cloud Robotics Industrial Automation Smart Manufacturing Electric Vehicle Smart Systems Internet of Things (IoT)
Research Interest	Task Offloading Optimization IoT communication Augmented Reality Cyber Security Virtual Manufacturing System

Professional Memberships	IEEE Engineers Australia (EA), MIEAust IEEE young professionals Australasian Association for Engineering Education (AAEE)
Industry Affiliations	Professional Engineer (accriminated) by EA. Guest Editor for Special Issue- MDPI JSAN Member of the “Program Committee board” for SGES conference 2020, Perth, Australia. Member of the Reviewer Board (MDPI Robotics)
EIT Internal Affiliations	Course Advisory Committee (MEE, MIA)- EIT Member of Board of Studies, Teaching and Learning, Admission Committee, Research Committee
Administrative responsibilities	Academic Coordinator for Industrial Automation (IA) related course: BIA, MIA IA expert for VET courses (DIA) and doctorate program (DEng)

Currently Teaching	ME507 Industrial Data Communication BEE303S Power Generation (Renewable and Non-Renewable) ME501 Power Engineering ME505 Process Engineering
Teaching Experience (Tertiary)	9 years teaching at Tertiary level (VET, Bachelor, Masters, Higher Ed)

Research supervisor for ME700 (Master’s Thesis Projects)	Sayed Yasiv Sayed Safiullah, “Design and Simulation of a control system and safety system for a Portable Hydrogen generator to be used in household cooking” Khary Simon, “A Magnetic Hybrid Stationary Bicycle Design for Improved Standalone Power Generation”
Assistant supervisor for DEng	Abimbola Ogunlade, “Developing a Cyber-security framework using Blockchain Technology for Industrial Control System Networks: A case of Petrochemical Industry” Oluwasegun (Segun) Eludire, “Standard Internet of Things Security Model (SIoTSM)” Allan Butler’ “IT / OT Convergence for increasing efficiency of resourcing and reporting processes across the business “
External PhD Consultation	Mahbuba Afrin (Swinburne University), “Data-based offloading decision-making for disaster management” Sourabh Dani, (Swinburne University) “Automating the Mattress Manufacturing process using cloud-networked robotics and Machine Learning”

Journal Articles	Mahbuba Afrin, Jiong Jin, Akhlaqur Rahman, Ashfaqur Rahman, J. Wan and E. Hossain, “Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey,” IEEE Communications Surveys and Tutorials 2021. (Accepted for Publication) Akhlaqur Rahman, Jiong Jin, Antonio Cricenti, Ashfaqur Rahman, and Ambarish Kulkarni, “Communication-aware cloud robotic task offloading with on-demand mobility for smart factory maintenance,” IEEE Transactions on Industrial Informatics, vol.15, no.5, 2019. Md M. Ahsan, Md T. Ahad, F. A. Soma, S. Paul, A. Chowdhury, S. A. Luna, M. Md. S. Yazdan, Akhlaqur Rahman, P. Huebner and Z. Siddique, “Detecting SARS-CoV-2 from Chest X-ray using Artificial Intelligence,” IEEE Access, 2021. (Accepted for Publication) Akhlaqur Rahman, Jiong Jin, Ashfaqur Rahman, Antonio Cricenti, Mahbuba Afrin and Yu-ning Dong, “Energy-efficient optimal task offloading in cloud networked multi-robot system,” Computer Networks, vol.160, 2019. Akhlaqur Rahman, Jiong Jin, Antonio Cricenti, Ashfaqur Rahman, Marimuthu Palaniswami, and Tony T. Luo, “Cloud-enhanced robotic system for smart city crowd control,” Journal of Sensor and Actuator Networks, MDPI, vol. 5, 2016. Akhlaqur Rahman, Sumaira Tasnim, “Ensemble classifiers and their applications: A review”, International Journal of Computer Trends and Technology (IJCTT), 2013 Shuva Paul, Md Siddikur Rahman, Akhlaqur Rahman, “Wind Energy Integration in Smart Grid,” International Journal of Scientific & Engineering Research, vol.5, 2015. Sumaira Tasnim, Akhlaqur Rahman, Amanullah Maung Than Oo and Md Fakhrul Islam Related information, “Power losses from wind generated electricity in high voltage AC transmission: an analysis through simulation,” International Journal of Renewable Energy Technology, vol.5, no.1, 2014.
Book Chapters	F. Z. Eishita, A. Rahman, S. A. Azad, and Akhlaqur Rahman, “Occlusion Handling in Object Detection”, Book: “Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, Medicine”. Akhlaqur Rahman, “Wind-Belt in Bangladesh: A gateway to the Future”, Lambert Academic Publishing, 2013.
Conference Papers	Khary Simon and Akhlaqur Rahman, “A Magnetic Hybrid Stationary Bicycle Design for Improved Standalone Power Generation”, Accepted for publication at International Conference on Smart Grids and Energy Systems (SGES 2020), Perth, Australia., “Wind-Belt in Bangladesh: A gateway to the Future”, Lambert Academic Publishing, 2013. Akhlaqur Rahman, Jiong Jin, Antonio Cricenti, Ashfaqur Rahman, and Manoj Panda, “Motion and connectivity aware offloading in cloud robotics via genetic algorithm,” in Proceedings of IEEE Global Communications Conference (Globecom 2017), Singapore, December 2017. Akhlaqur Rahman, Jiong Jin, Antonio Cricenti, Ashfaqur Rahman, and Dong Yuan, “A cloud robotics framework of optimal task offloading for smart city applications,” in Proceedings of IEEE Global Communications Conference (Globecom 2016), Washington DC, USA, December 2016. Akhlaqur Rahman, Jiong Jin, Yew Wee Wong, and Kwun Shan Lam, “Development of a cloud-enhanced investigative mobile robot,” in Proceedings of the International Conference on Advanced Mechatronic Systems (ICAMechS 2016), Melbourne, Australia, November 2016. S Paul, A Parajuli, MR Barzegaran, A Rahman, “Cyber physical renewable energy microgrid: A novel approach to make the power system reliable, resilient and secure”, in proceedings of Innovative Smart Grid Technologies-Asia (ISGT-Asia), Australia, December 2016. Shama Naz Islam, Akhlaqur Rahman and Lawrence Robinson, “Load Profile Segmentation using Residential Energy Consumption Data” Accepted for publication at International Conference on Smart Grids and Energy Systems (SGES 2020), Perth, Australia. Akhlaqur Rahman, Kh. F. N. Malia, Md. M. Mia, A.S.M M. H. Shuvo, M. H. Nahid and A.T.M. M. Zayeem, ” An Efficient Smart Cane Based Navigation System for Visually Impaired People”, in proceedings of IEEE ISAECT, Rome, Italy, November 2019. Md. K. A. Khan, Akhlaqur Rahman, S. Paul, MD. S. Rahman, T. Ahad and Md. Al Mamun, “An investigation of cell efficiency of Pathor Kuchi Leaf (PKL) cell”, in proceedings of IEEE ISAECT Rome, Italy. KA Khan, A Rahman, MS Rahman, A Tahsin, KM Jubyer, S Paul, “Performance analysis of electrical parameters of PKL electricity (An experimental analysis on discharge rates, capacity & discharge time, pulse performance and cycle life & deep discharge of Pathor Kuchi Leaf (PKL) electricity cell)”, in proceedings of Innovative Smart Grid Technologies-Asia (ISGT-Asia), Australia, December 2016. Ikram Ilyas, Shuva Paul, Akhlaqur Rahman and Ripan Kumar Kundu, “Comparative evaluation of cyclostationary detection based cognitive spectrum sensing”, in Proceedings of IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), USA, 2017. S Tasnim, AMT Oo, F Islam, and Akhlaqur Rahman, ““Analysis of power losses in wind generated electricity through simulation””, in Proceedings of IEEE AUPEC, Bali, Indonesia, 2012. Mohammed Z Ali, AA Amin, Akhlaqur Rahman, Md Didarul Islam, Md Wahiduzzaman and Shuva Paul, “Soliton: Gateway to future optical communication”, in Proceedings of IEEE IFOST, Bangladesh, 2014. Md Tanvir Ahad and Akhlaqur Rahman, “An Awareness Study of Smart meters Radiation on Human Head”, in proceedings of IEEE Greentech 2020, USA.

Dr Akhlaqur Rahman

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Publications and News