Dr. Tirath  Prasad  Sahu

Department Information Technology
Designation Assistant Professor
Educational Qualification Ph.D, M.Tech, B.Tech
E-Mail tpsahu.it@nitrr.ac.in, tirathpdsahu@gmail.com
Contact Number 9826551906
Areas of Interest

Data Mining and Analysis, Machine Learning, Feature Selection, Text Mining, Social Mining, Metaheuristics, Bioinformatics, Image Processing and Analysia etc.



  1. Abhilasha Chaudhuri and Tirath Prasad Sahu. "Feature selection using Binary Crow Search Algorithm with time varying flight length." Expert Systems with Applications 168 (2021): 114288. (IF: 6.954)
  2. Abhilasha Chaudhuri and Tirath Prasad Sahu. "A hybrid feature selection method based on Binary Jaya algorithm for micro-array data classification." Computers & Electrical Engineering 90 (2021): 106963. (IF: 3.818)
  3. Abhilasha Chaudhuri and Tirath Prasad Sahu. "Binary Jaya algorithm based on binary similarity measure for feature selection." Journal of Ambient Intelligence and Humanized Computing (2021): 1-18. (IF: 7.104)
  4. Abhilasha Chaudhuri and Tirath Prasad Sahu. "Feature weighting for naïve Bayes using multi objective artificial bee colony algorithm." International Journal of Computational Science and Engineering 24.1 (2021): 74-88. (ESCI  and  Scopus Indexed)
  5. Abhilasha Chaudhuri, Tirath Prasad Sahu, and Rekh Ram Janghel. "PSO-based group-oriented crow search algorithm (PGCSA)." Engineering Computations (2020). (IF: 1.593)
  6. Abhilasha Chaudhuri and Tirath Prasad Sahu. "PROMETHEE-based hybrid feature selection technique for high-dimensional biomedical data: application to Parkinson's disease classification." Electronics Letters 56.25 (2020): 1403-1406. (IF: 1.316)
  7. Tirath Prasad Sahu and Sarang Khandekar. ''A Machine Learning- based Lexicon Approach for Sentiment Analysis.'' International Journal of Technology and Human Interaction (IJTHI) 16.2 (2020): 8-22. (ESCI  and  Scopus Indexed)
  8. Tirath Prasad Sahu, Naresh Kumar Nagwani, and Shrish Verma. "Selecting best answer: An empirical analysis on community question answering sites." IEEE Access 4 (2016): 4797-4808. (IF: 3.367)
  9. Tirath Prasad Sahu, Naresh Kumar Nagwani, and Shrish Verma.  "Multivariate beta mixture model for automatic identification of topical authoritative users in community question answering sites." IEEE Access 4 (2016): 5343-5355. (IF: 3.367)
  10. Tirath Prasad Sahu, Naresh Kumar Nagwani, and Shrish Verma.  "TagLDA based User Persona Model to Identify Topical Experts for Newly Posted Questions in Community Question Answering Sites." International Journal of Applied Engineering Research 11.10 (2016): 7072-7078. (Scopus Indexed)
  11. Tirath Prasad Sahu, Naresh Kumar Nagwani, and Shrish Verma. "An empirical analysis on reducing open source software development tasks using stack overflow." Indian Journal of Science and Technology 9.21 (2016). (Scopus Indexed)
  12. Tirath Prasad Sahu and Yogendra Kumar Jain. "Improved Simplified Novel Method for Edge Detection in Grayscale Images Using Adaptive Thresholding." Journal of Advances in Computer Networks 3.2 (2015).
  13. Yogendra Kumar Jain, Abhishek Kesharwani, Sumit Agrawal and Tirath Prasad Sahu. "Image Sharpness and Contrast Enhancement with  Noise Reduction using Logarithmic Image Processing Model with Modified  Decision based Unsymmetric Trimmed Median Filter." Digital Image Processing 4.16 (2012): 902-909.


  1. Rafe Athar Shaikh, Tirath Prasad Sahu, and Veena Anand. "Predicting outcomes of legal cases based on legal factors using classifiers." Procedia Computer Science 167 (2020): 2393-2402.
  2. Tirath Prasad Sahu, Reswanth Sai Thummalapudi, and Naresh Kumar Nagwani. "Automatic question tagging using multi-label classification in community question answering sites." In 2019 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), pp. 63-68. IEEE, 2019.
  3. Rahul Kumar Chaurasiya, Shourya Shukla, and Tirath Prasad Sahu. "A Sequential Study of Emotions through EEG using HMM." In 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), pp. 104-109. IEEE, 2019.
  4. Samrudhi Mohdiwale, Tirath Prasad Sahu, Rahul K. Chaurasia, Naresh Kumar Nagwani, and Shrish Verma. "Detection and classification of noise using bark domain features." In Proceedings of the 6th International Conference on Communications and Broadband Networking, pp. 18-21. 2018.
  5. Samrudhi Mohdiwale, Tirath Prasad Sahu, Naresh Kumar Nagwani, Rahul Kumar Chaurasia, and Shrish Verma. "Abnormal activity detection in forest reserve using cumulative short time fourier transform features." In 2017 International Conference on Intelligent Sustainable Systems (ICISS), pp. 685-689. IEEE, 2017.
  6. Tirath Prasad Sahu, Naresh Kumar Nagwani, and Shrish Verma. "Topical authoritative answerer identification on q&a posts using supervised learning in cqa sites." In Proceedings of the 9th Annual ACM India Conference, pp. 129-132. 2016.
  7. Tirath Prasad Sahu and Sanjeev Ahuja. "Sentiment analysis of movie reviews: A study on feature selection & classification algorithms." In 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), pp. 1-6. IEEE, 2016.

Book Chapters:

  1. Abhilasha Chaudhuri and Tirath Prasad Sahu. "A Case Study on Disease Diagnosis Using Gene Expression Data Classification with Feature Selection: Application of Data Science Techniques in Health Care." In Data Science and Its Applications, pp. 239-254. Chapman and Hall/CRC, 2021.
  2. Ritika Roy, Tirath Prasad Sahu, Naresh Kumar Nagwani, and Sudeepa Das. "Global best guided crow search algorithm for optimization problems." In Intelligent Algorithms for Analysis and Control of Dynamical Systems, pp. 13-22. Springer, Singapore, 2021.
  3. Samrudhi Mohdiwale and Tirath Prasad Sahu. "Nearest Neighbor Classification Approach for Bilingual Speaker and Gender Recognition." In Advances in Biometrics, pp. 249-266. Springer, Cham, 2019.
Other Info.