Assistant Professor

Dr Shaik Rafi

Department of Computer Science and Engineering

Interests

  • Natural Language Processing
  • Computer Vision
  • Content Based Image Retrieval

Faculty Details

Education

2012

JNTU Kakinada
MCA

2014

JNTU Kakinada
M.Tech (CSE)

2020

Institute of Engineers India
AMIE

2025

National Institute
of Technology Mizoram
PhD

Experience

  • 2013-2018 Assistant Professor – Tirumala Engineering College, Narasaraopet.
  • 2018-2019 Assistant Professor – Eswar College of Engineering, Narasaraopet.
  • 2019-2025 Assistant Professor – Narasaraopeta Engineering College (Autonomous), Narasaraopet.

Research Interest

  • Considering two types of modalities such as text and image modalities and extracting features from multimodalities to generate Multimodal Abstractive Text Summarization.
  • My interest also includes to retrieve relevant images to the generated Multimodal Abstractive Summaries using different techniques from deep learning.

Awards & Fellowships

  • 2013 – Gold Medal In M.Tech – Narasaraopeta Engineering College.
  • 2025 – Best Paper Award – DoSCI-2025

Memberships

  • ACM
  • IAENG

Publications

Journals

  • Rafi, S., Laitonjam, L. & Das, R. Reducing extrinsic hallucination in multimodal abstractive summaries with post-processing technique. Neural Comput & Applic (2025). https://doi.org/10.1007/s00521-024-10895-8.
  • Mohammed Jany, S., Killi, C.B.R., Rafi, S. et al. Detecting multimodal cyber-bullying behaviour in social-media using deep learning techniques. J Supercomput 81, 284 (2025). https://doi.org/10.1007/s11227-024-06772-9 (SCIE)
  • Shaik Rafi and Ranjita Das. 2024. SCT: Summary Caption Technique for Retrieving Relevant Images in Alignment with Multimodal Abstractive Summary. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 23, 3, Article 43 (March 2024), 22 pages. https://doi.org/10.1145/3645029 (SCIE)
  • Rafi, S., Das, R. Topic-guided abstractive multimodal summarization with multimodal output. Neural Comput & Applic (2023). https://doi.org/10.1007/s00521-023-08821-5 (SCIE)
  • Rizwana, Ch.Kamala and Shaik Rafi Enhanced bio medical data modelling using unsupervised probabilistic machine learning technique” in International Journal of Recent Technology and Engineering (IJRTE) : 2277-3878 in 2018 – 2019.(SCOPUS)

Conferences

  • S. Rafi and R. Das, "RNN Encoder And Decoder With Teacher Forcing Attention Mechanism for Abstractive Summarization," 2021 IEEE 18th India Council International Conference (INDICON), 2021, pp. 1-7, doi: 10.1109/INDICON52576.2021.9691681.
  • S. Rafi and R. Das, "A Linear Sub-Structure with Co-Variance Shift for Image Captioning," 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), Cario, Egypt, 2021, pp. 242-246, doi: 10.1109/ISCMI53840.2021.9654828
  • S. Rafi and R. Das, "Abstractive Text Summarization Using Multimodal Information," 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI), Mexico City, Mexico, 2023, pp. 141-145, doi: 10.1109/ISCMI59957.2023.10458505.
  • D. Malleswari, B. J. Vazram and R. Shaik, "ChronicNet: Randome Forest Classifier-based Chronic Heart Failure Detection with CNN Feature Analysis," 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), Jabalpur, India, 2024, pp. 1076-1081, doi: 10.1109/CSNT60213.2024.10546191.
  • S. V. N. Sreenivasu, S. Rafi, V. V. A. S. Lakshmi, S. Sivanageswara Rao and C. Rajani, "Rainfall Prediction Using Machine Learning," 2024 2nd International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC), Hyderabad, India, 2024, pp. 140-149, doi: 10.1109/ICMACC62921.2024.10894486.
  • U. M. Srinivas, S. Rafi, T. V. Manohar and M. V. Rao, "Classification of Music Genre Using Deep Learning Approaches," 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP), VIJAYAWADA, India, 2024, pp. 1-5, doi: 10.1109/AISP61711.2024.10870721.
  • S. V. N. Sreenivasu, C. Rajani, B. U. Rani, A. Dasaradha and S. Rafi, "Automatic Attendance Management System Using CNN," 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP), VIJAYAWADA, India, 2024, pp. 1-6, doi: 10.1109/AISP61711.2024.10870740.
  • P. S. Sowmika, S. S. N. Rao and S. Rafi, "Machine Learning Framework for Women Safety Prediction using Decision Tree," 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2023, pp. 1089-1093, doi: 10.1109/ICSSIT55814.2023.10060997.
  • Dipanwita Debnath, Ranjita Das and Shaik Rafi, “Sentiment based summarization using attention oriented LSTM model: An abstractive text summarization approach for product reviews”, 2021 Springer 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021) at NIT MIZORAM on June 25 - 26, 2021.

Contact Details

  • E-mail id: rafi.s@srmap.edu.in
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