Assistant Professor

MTech CSE Indian Institute of Information Technology Bhubaneswar, PhD Computer Science
Computational linguistics, Data Science

Department of Computer Sciences

 

I work in computational linguistics and natural language processing, focusing on developing computational methods that enable machines to understand, analyze, and summarize human language. My research explores problems in sentiment analysis, emotion detection, and automatic text summarization, with particular attention to low-resource languages such as Hindi. I design statistical and deep learning–based approaches that combine linguistic features with machine learning to extract meaningful insights from large textual datasets and improve automated language understanding systems.

 My work has contributed to the development of several summarization and text analytics systems and has been published in international venues including Expert Systems with Applications, BMC Bioinformatics, and Software Impacts. More broadly, my research aims to bridge linguistic knowledge and data-driven models to build robust and efficient NLP systems for real-world applications.

Faculty Details

  • Citations Citations: 660
  • HIndex HIndex: 10
  • i10 Index i10 Index: 11
  • Resume View

Contact Info

  • 7006677698
  • mudasirm@uok.edu.in


  • Mudasir Mohd, S. Javeed, Nowsheena, M. A. Wani, and H. A. Khanday, "Sentiment analysis using lexico-semantic features," Journal of Information Science, vol. 50, no. 6, pp. 1449–1470, 2024. Impact Factor: 3.2. Publisher: SAGE Publications. DOI: 10.1177/01655515221124016

     

    M. Kirmani, G. Kour, Mudasir Mohd, N. Sheikh, D. A. Khan, Z. Maqbool, M. A. Wani, and A. H. Wani, "Biomedical semantic text summarizer," BMC Bioinformatics, vol. 25, no. 1, p. 152, 2024. Impact Factor: 4.8. Publisher: BioMed Central (Springer Nature). DOI: 10.1186/s12859-024-05712-x

     

    M. Kirmani, G. Kaur, and Mudasir Mohd, "Analysis of abstractive and extractive summarization methods," International Journal of Emerging Technologies in Learning (iJET), vol. 19, no. 1, pp. 86–96, 2024. Impact Factor: 2.33. Publisher: International Association of Online Engineering. DOI: 10.3991/ijet.v19i01.46079

     

    A. H. Ganai, Nowsheena, R. Hashmy, H. A. Khanday, Mudasir Mohd, and M. A. Wani, "Synergizing Information Diffusion: Exploring IoT and Blockchain Integration in Online Social Networks," in Blockchain-based Internet of Things, Chapman and Hall/CRC, 2024, pp. 206–217.

     


    M. Kirmani, G. Kaur, and Mudasir Mohd, "ShortMail: An email summarizer system," Software Impacts, vol. 17, p. 100543, 2023. Impact Factor: 1.3. Publisher: Elsevier. DOI: 10.1016/j.simpa.2023.100543

     


    Mudasir Mohd, M. A. Wani, H. A. Khanday, U. B. Mir, S. Nasrullah, Z. Maqbool, A. H. Wani, et al., "Semantic-summarizer: semantics-based text summarizer for English language text," Software Impacts, vol. 18, p. 100582, 2023. Impact Factor: 1.3. Publisher: Elsevier. DOI: 10.1016/j.simpa.2023.100582


    Mudasir Mohd, R. Jan, and M. Shah, "Text document summarization using word embedding," Expert Systems with Applications, vol. 143, p. 112958, 2020. Impact Factor: 9.1. Publisher: Elsevier. DOI: 10.1016/j.eswa.2019.112958

     


    Mudasir Mohd, R. Jan, and N. Hakak, "Enhanced bootstrapping algorithm for automatic annotation of tweets," International Journal of Cognitive Informatics and Natural Intelligence, vol. 14, no. 2, pp. 35–60, 2020. Impact Factor: 0.6. Publisher: IGI Global. DOI: 10.4018/IJCINI.2020040103

     


    M. Kirmani, N. M. Hakak, Mudasir Mohd, and M. Mohsin, "Hybrid text summarization: a survey," in Soft Computing: Theories and Applications, Proc. SoCTA 2017, Springer, 2019, pp. 63–73.

     


    H. Nida, K. Mahira, Mudasir Mohd, M. A. Muttoo, and M. Mohsin, "Automatic emotion classifier," in Progress in Advanced Computing and Intelligent Engineering, Proc. ICACIE 2017, Vol. 1, Springer, 2019, pp. 565–572.

     


    I. K. Bhat, Mudasir Mohd, and R. Hashmy, "Sumitup: A hybrid single-document text summarizer," in Soft Computing: Theories and Applications, Proc. SoCTA 2016, Vol. 1, Springer, 2018, pp. 619–634.

     


    Mudasir Mohd and R. Hashmy, "Question classification using a knowledge-based semantic kernel," in Soft Computing: Theories and Applications, Proc. SoCTA 2016, Vol. 1, Springer, 2018, pp. 599–606.

     


    N. M. Hakak, Mudasir Mohd, M. Kirmani, and M. Mudasir, "Emotion analysis: A survey," in Proc. 2017 Int. Conf. Comput., Commun. Electron. (COMPTELIX), 2017, pp. 397–402.

     


    Mudasir Mohd, M. B. Shah, S. A. Bhat, U. B. Kawa, H. A. Khanday, A. H. Wani, M. A. Wani, and R. Hashmy, "Sumdoc: a unified approach for automatic text summarization," in Proc. Fifth Int. Conf. Soft Comput. for Problem Solving (SocProS 2015), Vol. 1, 2016, pp. 333–343.

     


    R. C. Balabantaray, Mudasir Mohd, and N. Sharma, "Multi-class twitter emotion classification: A new approach," International Journal of Applied Information Systems, vol. 4, no. 1, pp. 48–53, Sep. 2012. Publisher: Foundation of Computer Science (FCS), New York, USA. DOI: 10.5120/ijais12-450651

     


    N. Sharma, Mudasir Mohd, and A. Mohapatra, "Solving Sparse Rating Problem Using Fine Grained Approach," International Journal on Computer Science and Engineering, vol. 4, no. 6, p. 1231, Jun. 2012. Publisher: Engg Journals Publications.




Scholar Name Programme Status
SHOWKET AHMAD KHAN Integrated Ph.D Registered
QURAT UL AIN Integrated Ph.D Registered

 Core Computer Science. Programming, Operating Systems, Theory of Computation, and Data Structures.

Text summarization for Hindi and other regional languages of India sponsored by DST

Project Title Funding Agency Funding Amount Project Type Project Status
Automatic text summarization for Hindi and other regional language of India. J&K Science Technology & Innovation Council 1200000 Major On Going
Jan 2023