Dr Bhupesh Mishra

Dr Bhupesh Mishra

Lecturer

Faculty and Department

  • Faculty of Science and Engineering
  • Data Science AI and Modelling Centre (DAIM)

Qualifications

  • PhD / DPhil (University of the West of Scotland)

Recent outputs

View more outputs

Journal Article

Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction

Mishra, B. K., Preniqi, V., Thakker, D., & Feigl, E. (2024). Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction. Discover Internet of Things, 4(1), Article 24. https://doi.org/10.1007/s43926-024-00075-4

A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images

Hamal, S., Mishra, B. K., Baldock, R., Sayers, W., Adhikari, T. N., & Gibson, R. M. (2024). A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images. Decision Analytics Journal, 11, Article 100460. https://doi.org/10.1016/j.dajour.2024.100460

Presentation / Conference Contribution

Tailored Risk Assessment and Forecasting in Intermittent Claudication: A Proof of Concept Decision Support Tool

Ravindhran, B., Prosser, J., Lim, A., Mishra, B., Lathan, R., Hitchman, L., Smith, G., Carradice, D., Thakker, D., Pymer, S., & Chetter, I. (2024, June). Tailored Risk Assessment and Forecasting in Intermittent Claudication: A Proof of Concept Decision Support Tool. Presented at The European Society for Vascular Surgery Translational Spring Meeting 2024, Stockholm, Sweden

Crafting Tomorrow's Evaluations: Assessment Design Strategies in the Era of Generative AI

Kadel, R., Mishra, B. K., Shailendra, S., Abid, S., Rani, M., & Mahato, S. P. (2024, July). Crafting Tomorrow's Evaluations: Assessment Design Strategies in the Era of Generative AI. Presented at 2024 International Symposium on Educational Technology, ISET 2024, Macau

Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance

Kureshi, R. R., Mazumdar, S., Mishra, B. K., Li, X., & Thakker, D. (2023, December). Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

Research interests

Data Science and Machine Learning , Explainable AI, Citizen Science and Smart Cities, Scheduling & Optimization, IoT, Edge Computing, Natural Language Processing

Lead investigator

Project

Funder

Grant

Started

Status

Project

AKT: Predictive Manufacturing Optimization using Neural Networks (PROMINN)

Funder

Innovate UK

Grant

£29,358.00

Started

25 March 2024

Status

Complete

Co-investigator

Project

Funder

Grant

Started

Status

Project

Harnessing responsible use of technology for social and economic development in Burkina Faso: supporting community-led cultural heritage data governance through digital/AI literacy

Funder

British Academy

Grant

£124,722.00

Started

1 June 2024

Status

Ongoing

Project

Vital Knowledge Exchange Visits: Bolstering Ongoing Collaborative Responsible AI Projects at IIT-M and UoH

Funder

University of Hull

Grant

£7,500.00

Started

1 February 2024

Status

Complete

Postgraduate supervision

Data Science and Machine Learning, Explainable AI, Citizen Science and Smart Cities, Scheduling & Optimization, IoT, Edge Computing, Natural Language Processing

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