Raghubir Singh

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Raghubir Singh

Dr

 https://orcid.org/0000-0001-6883-6355

Personal profile

Research interests

My research revolves around tackling the challenges related to building large-scale machine learning distributed systems, particularly those that involve edge AI. I am exploring edge computing's potential for optimisation problems and unlocking scientific and social benefits.

My research interests are focused on these fields of specialisation:

  •  Digital Health
  •  Data Science
  •  Distributed AI
  •  Ubiquitous Computing
  •  Data Engineering
  •  Edge Intelligence  

My research publications can be accessed on Google Scholar & ResearchGate.

Teaching interests

I primarily teach postgraduate machine learning and deep learning courses, focusing on advanced topics in these fields.  I am a Fellow of the Higher Education Academy

Education/Academic qualification

Computer Science, Doctor of Engineering, Computation Offloading in Heterogeneous Networks, University of Bristol

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Collaborations and top research areas from the last five years

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  • Edge AI: A survey

    Singh, R. & Gill, S. S., 31 Dec 2023, In: Internet of Things and Cyber-Physical Systems. 3, p. 71-92 22 p.

    Research output: Contribution to journal › Review article › peer-review

    Open Access
    310 Citations (SciVal)

  • Computational Intelligence-Based Carbon Neutral Wireless Networks for Edge-Cloud Continuum

    Singh, R., Chawla, P. & Gill, S. S., 27 Jul 2025, Computational Intelligence Techniques for 5G Enabled IoT Networks. Advances in Science, Technology & Innovation. Kumar, M., Gill, S. S., Kumar, V. & Verma, P. (eds.). Cham, Switzerland: Springer, p. 3-15 13 p. (Advances in Science, Technology and Innovation; vol. Part F703).

    Research output: Chapter or section in a book/report/conference proceeding › Book chapter

  • Computational Intelligence based Optimal Service Placement in Fog-enabled IoT Networks

    Kumar, S., Supraja, T., Chawla, P., Singh, R. & Gill, S. S., 27 Jul 2025, Advances in Science, Technology and Innovation. Kumar, M., Gill, S. S., Kumar, V. & Verma, P. (eds.). Cham, Switzerland: Springer, p. 127-143 17 p. (Advances in Science, Technology and Innovation; vol. Part F703).

    Research output: Chapter or section in a book/report/conference proceeding › Book chapter

  • Google Cloud Spanner-Based Data Management Application for Smart Gaming Industry

    Golec, M., Zhang, Z., Wang, H., Golec, M., Singh, R. & Gill, S. S., 27 Jul 2025, Computational Intelligence Techniques for 5G Enabled IoT Networks. Advances in Science, Technology & Innovation. Kumar, M., Gill, S. S., Kumar, V. & Verma, P. (eds.). Cham, Switzerland: Springer, p. 49-59 11 p. (Advances in Science, Technology and Innovation; vol. Part F703).

    Research output: Chapter or section in a book/report/conference proceeding › Book chapter

  • HSAM: Hybrid Sentiment Analysis Model for COVID-19 Contact Tracing Applications

    Singh, R. & Kumar, N., 10 Jun 2023, 2023 IEEE World AI IoT Congress, AIIoT 2023. Chakrabarti, S. & Paul, R. (eds.). U. S. A.: IEEE, p. 83-90 8 p. (2023 IEEE World AI IoT Congress, AIIoT 2023).

    Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

View all 13 research outputs