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Dr Disha Kaur Phull

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Dr. Disha Kaur Phull

Assistant Professor, Faculty of Mathematics and Data Science

Biography

Dr. Disha Kaur Phull has earned her Doctor of Philosophy (PhD) in a computing and data-driven discipline. Her doctoral research focused on Artificial Intelligence and Natural Language Processing, with particular emphasis on language data analysis and AI-based learning models. She has a strong academic background in data science and intelligent systems, supporting interdisciplinary research and applied AI development. Presently, she works as an Assistant Professor at Emirates Aviation University in Dubai, UAE. She is actively involved in teaching and research in the areas of Artificial Intelligence, Machine Learning, Natural Language Processing, and Data Science. Her academic and research interests centre on the application of AI and NLP techniques to real-world problems, interdisciplinary domains, and responsible AI practices. She has contributed to peer-reviewed journals and conferences, reflecting her ongoing engagement with research and innovation in AI-driven technologies.

Education

  • PhD, Computer Science and Engineering (Artificial Intelligence- Speech Recognition), Vellore Institute of Technology, India, 2020.

  • Master of Computer Application (MCA), Rajasthan Technical University, India, 2012.

  • Bachelor of Computer Application (BCA), Alagappa University, India, 2009.

Teaching Area

  • Natural Language Processing

  • Artificial Intelligence

  • Machine Learning

  • Python Programming

  • Database

Research Area

  • Artificial Intelligence and Machine Learning

  • Natural Language Processing and Language Data Analysis

  • Computational Linguistics

  • Interdisciplinary Applications of AI and Data Science

Publications

  • Saif Alnaqbi, Abdalla Almail, Mirza Zaeem Baig, Blessy Trencia Lincy. S. S and Phull, D.K., 2022. “Safety Incident Classification using Machine Learning Techniques in Airline Industry.” The 4th International Aviation Management Conference (IAMC-2022), 2022, (pp. 237-242).

  • Phull, D.K. and Kumar, G.B., 2019. “Efficient Search Mechanism from Large Scale Corpora for Domain-Specific Language Modeling in Speech Recognition.” International Journal of Engineering and Technology (IJEAT), 8(6) pp. 1682-1689.

  • Phull, K.K. and Phull, D.K., 2019. “Sentiment Analysis Importance in Digital Era.” Think India Journal, 22(30), pp.325-329.

  • Phull, D.K. and Kumar, G.B., 2018. “Ameliorated language modelling for lecture speech recognition of Indian English.” Sadhana, 43(12), p.209.

  • Phull, D.K. and Kumar, G.B., 2017. “Analyzing various topic modeling approaches for Domain-Specific language model.” IEEE International Conference in Networks and Advances in Computational Technologies (NetACT), 2017 (pp. 69-73).

  • Phull, D.K. and Kumar, G.B., 2016. “Vowel Analysis for Indian English.” Procedia Computer Science, 93, pp.533-538.

  • Phull, D.K. and Kumar, G.B., 2016. “Investigation of Indian English speech recognition using cmu sphinx.” International Journal of Applied Engineering Research, 11(6), pp.4167-4174.