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Maneeha Rani

Contact: m.rani3-2022@hull.ac.uk

Office: Wilberforce Building 204

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PhD topic: To Enhance Trustworthiness in Large Language Models using Neurosymbolic AI
 

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Publications

  • M. Rani and S. Jan, "Comparative Analysis and Enhancement of Sentiment Intensity Based Tools," 2020 14th International Conference on Open Source Systems and Technologies (ICOSST), Lahore, Pakistan, 2020, pp. 1-6, doi: 10.1109/ICOSST51357.2020.9333119.

  • M. Babar, M. Rani and I. Ali, "A Deep learning-based rainfall prediction for flood management," 2022 17th International Conference on Emerging Technologies (ICET), Swabi, Pakistan, 2022, pp. 196-199, doi: 10.1109/ICET56601.2022.10004663.

  • Khan, M., Naeem, M., Zeb, A., Ahmed, A., Khan, A., Rani, M., & Shah, M. (2022). Light Weight Security Protocol in IOT with Less Computational Cost. Quaid-E-Awam University Research Journal of Engineering, Science & Technology, Nawabshah., 20(01), 21-28. https://doi.org/10.52584/QRJ.2001.04

ACHIEVEMENTS

Marie Curie Funded PhD Position

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Industrial Job Position at Orange, Europe

Fully Funded PhD Scholarship Offer

 

University of Hull, United Kingdom (UK)

Fully Funded PhD Scholarship Offer

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Griffith University, Australia

Gold Medalist

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Intermediate Level and Bachelors in Computer Software Engineering

Top Scorer

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Master in Software Engineering

Supervisors

Principal Supervisor 

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Co-supervisor 

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Co-supervisor

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Professor Dhaval Thakker

© 2023 by Prof Dhaval Thakker

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