Research Interests

Dr Chowdhury is particularly interested in the research areas outlined below and open to collaborate with other researchers if they wish to extend their network and work with his team within the scopes mentioned hereafter:

(i) Blockchain (ii) Internet of Things (iii) Machine Learning/Data Science and (iv) Privacy
Visit his Google Scholar profile for more information such as publications, citations and co-authors.

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An overview of the research interests of Dr Chowdhury

Current Project(s)

  • SAM AIOctober 2020to date
    Funded by Innovate UK Smart Grant 2020, this project is an in-store service that measures, monitors and captures data from multiple IoT sources and analyses the data to promote the product in and out of the store. The idea is to aggregate data from various sources such as Weather, Signage, Electronic Point of Sale (EPOS), Footfall, etc. and apply machine learning and statistical techniques on the captured data to discover the relationships between parameters to maximise revenue.
    Institution: Store Performance Ltd, England.
    Funding: UK Govt. Innovate UK.
    Publication: No publications yet.

Past Projects

  • QualiChainFebruary 2019to date
    The QualiChain is a European Union project that targets the creation, piloting and evaluation of a decentralised platform for storing, sharing and verifying education and employment qualifications. It focuses on the assessment of the potential of blockchain technology, algorithmic techniques and computational intelligence for disrupting the domain of public education, as well as its interfaces with private education, the labour market, public sector administrative procedures and the broader socio-economic developments.
    Institution: The Open University, England.
    Funding: European Union (Horizon 2020).
    Publication:To be listed soon

  • Strategic Data Science ProjectJanuary 2017January 2019
    In the post-MK:Smart period of Dr Chowdhury's stay at the OU (see below), he joined the Data Science Group (DSg) at the Knowledge Media Institute (KMI). In supporting OU's digital initiatives, they first built a Hadoop cluster to enable researchers across the campus with machine learning capabilities (including themselves) followed by developing a research data management portal to store and manage data generated by research works that he led from the front. His work then focused on two folds: i) Exploring IoT-enabled blockchain use-cases and ii) Developing blockchain and IoT-based solutions for bakeries and restaurants to manage and regulate refrigerators' temperature replacing the age-old hand-collected data method by IoT-enabled automated temperature sensors.
    Institution: The Open University, England.
    Funding: This project was funded by the Open University.
    Publication:[13], [14] [more will follow]

  • MK:SmartMay 2015December 2016
    This was a large smart-city project having partners from the University of Cambridge, the University of Bedford and the Open University. The aim of my research, within this project, was to develop IoT-based holistic energy management solutions for consumers with electric vehicles that enable individuals and families to manage energy across their home and car in innovative ways. Additionally, Dr Chowdhury also led a spin-off from this work focusing on the comparative analysis between national grid carbon intensity and domestic household consumption of green and brown energy. This project ran in collaboration with E.On, and was an extension of prior research on domestic energy management.
    Institution: The Open University, England.
    Funding: This project was funded by the HEFCE (Higher Education Funding Council for England).
    Publication: [8], [9], [11], [12]

  • NETCODEJanuary 2012April 2015
    This research deals with the problem of sending warning messages in a timely manner. This problem is addressed by employing a network coding technique. The proposed NETwork COded DissEmination (NETCODE) is a VANET-based Accident Warning System (AWS) responsible for generating and sending warnings to the vehicles on the road. NETCODE offers an XOR-based data dissemination scheme that sends multiple warnings in a single transmission and therefore, reduces the total number of transmissions required to send the same number of warnings that broadcast schemes send. Hence, it reduces contention and collisions in the network improving the delivery time of the warnings.
    Institution: University of Glasgow, Scotland.
    Funding: This project was funded by the Scottish Funding Council through an ORS Scholarship and the University of Glasgow through a College of Science and Engineering Scholarship.
    Publication: [5], [6], [7]

  • BeathaNovember 2007October 2009
    This project involves developing Beatha, a transport protocol for rapidly deployable emergency communications. The Irish Gaelic word Beatha means “life.” In keeping with the meaning of its name, the developed protocol introduces a lifelike quality to the end-to-end data delivery in emergency response, where nodes are not the first point of communication but rather their services are. Beatha makes use of characteristic-based network architecture to route packets from source to destination and along its network layer counterpart forms a new network paradigm that replaces the IP-based network in wireless environment.
    Institution: Trinity College Dublin, Ireland
    Funding: This project was funded by the Government of Ireland through the Irish Research Council. The details of the award can be found using this official link (put 2007 as year and EMBARK as award type).
    Publication: [4], [10]