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Research Area:
a) Cloud Robotics
b) Industrial Automation
c) Smart Manufacturing
d) Electric Vehicle
e) Smart Systems
f) Internet of Things (IoT)
Research Interest:
a) Task Offloading
b) Optimization
c) Scheduling Study
d) Augmented Reality
e) Cyber Security
f) Load Management System
Research Area:
· Optimal Task Offloading in Cloud Networked Robotics for Smart Systems (August 2014 -Current)
Funded By: Swinburne University of Technology, Excellerate Australia. (4 Journals and 3 Conference Papers)
The introduction of cloud computing presents an ideal opportunity for inclusion of cloud-Networked robots in smart manufacturing and smart city 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 the context of literature, ours is the first approach to consider network connectivity and on-demand mobility for an integrated offloading framework for.
Future direction includes further integration of Virtual reality and Industrial IoT with CNR for further applications of Industry 4.0. This is also supported by Auto-CrC funding for the practical development of hardware cloud-aided robot (SwinCBot) (e.g., face recognition, path planning, voice control etc.). Under my counselling, the mechatronics projects were completed by FYRP groups as a “proof of concept”. Furthermore, we are extending this project by including other PhD students to collaborate with AMCRC and CSIRO Data61 to implement projects of CNR in the context of Smart City and Smart Factory applications.
Figure: Hardware Implementation of a Cloud Aided Robot and sample application scenario
· Developing Scheduling Algorithm for Electrical Vehicle Charging (August 2018 - Current)
Funded By: School of Engineering, Deakin University. (1 Journal)
To accommodate the increasing electric vehicle (EV) penetration in distribution grid, coordinated EV charging has been extensively studied in literature. Contrary to current approaches that optimistically consider the EV charging rate as a continuous variable, our project focuses on a more realistic setting by formulating coordinated EV charging while considering the parameters together for given load profile in a “day-ahead” setting that will later lead to real-time scenarios. We also add the renewable energy generation and analyse their impact on charging scheduling. As a research assistant involved in this project (while at Deakin University), we finalized a journal paper for submission.
Figure: Scheduling Operation in Electric Vehicle Charging
· Low Cost Method of Electricity Generation via Eletro-Chemical Reactions of Pathar Kuchi Leaf (PKL) in the context of Bangladesh (May 2016 -Current)
Funded By: Ministry of Science and Technology, Bangladesh. (2 IEEE Conference Papers)
Given the increasing cost of electricity and the inability of Government to deliver regular electricity to the lower class in the rural areas, a new alternative method has been proposed for electricity Generation via electro-chemical reactions using pathor kuchi leaf, PKL (Bryophyllum Pinnatum), which is a welcome addition in the list of renewable energy in the context of Bangladesh. Since, Pathor Kuchi trees grow everywhere in Bangladesh, so the leaf of Pathor Kuchi tree is currently being used to produce electricity at a lower cost. In fact, the juice extracted from the leaf can be preserved for long time without any special arrangement. It’s very much convenient to produce electricity using the leaf. Since, the acidity of pathor kuchi leaves is the key responsible factor for production of electricity via electrochemical process, therefore several research work has been conducted on the properties of PKL, Electrochemistry of PKL, Chemistry of PKL Electricity, Design of PKL Quasi Voltaic Cell and Conversion Efficiency of PKL Cell. As an independent researcher, I am involved in this project since 2016 as a contributor, which led to two IEEE conference papers.
· Modelling a Power System for Performance Analysis in Event of Cyber Attacks (November 2018 - February 2019)
Funded By: School of IT, Deakin University. (1 Journal to be prepared)
The primary objective of the project is to develop models of power systems to simulate different types of cyber-attacks in order to analyse the performance of system and identify the need for developing central decision mechanism to stabilize the overall system. In the initial instance, simulation prototype will generate a large number of samples collected from IEEE power system templates. This will also include Automatic Generation Control (AGC) measures and an Observer for the proposed system. The measurement/ observations for the detection system will be collected based on different power system parameters including voltage, current, power of different buses, total power generated, total power demand which are used by the SCADA master controller units and HMI to operate the system. Later on, DoS and Integrity work will be simulated to analyse the system performance and to develop measures to maintain system stability.
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