Assistant Professor

Dr Rajiv Senapati

Department of Computer Science and Engineering


  1. Cellular Network and Communication
  2. Data Mining
  3. Data Analytics



Berhampur University


BPUT Odisha


IIIT Bhubaneswar


  • 4 Years 8 Months, Lecturer | GIET Gunupur
  • 8 Years 7 Months, Assistant Professor | GIET University, Gunupur

Research Interest

  • Capacity Estimation in Cellular Networks.
  • VoLTE Cell Capacity Estimation and Enhancement through radio usage optimization.


  • The Institute of Engineers, India (IEI): M-151323-5
  • Indian Society for Technical Education (ISTE): LM66848
  • Computer Society of India (CSI): I1504100



  • Rajiv Senapati "A Novel Classification-based Parallel Frequent Pattern Discovery Model for Decision making and Strategic planning in Retailing", Int. J. of Business Intelligence and Data Mining, Inderscience, 2022. In Press. Scopus, IF: 0.8.
  • Rajiv Senapati "LTE-Advanced Cell Capacity Estimation Model and Algorithm for Voice Service", Journal of Ambient Intelligence and Humanized Computing, Springer, 2021. Q1, SCIE, IF: 7.104.
  • Rajiv Senapati and HK Pati, "VoLTE Cell Capacity Estimation Using AMR-WB Codecs and Considering VAF, SID, Packet Bundling and TTI Bundling", Wiley’s International Journal of Communication System, Volume 32, Issue 11, e3958, 2019. Q1, SCI, IF:2.047.
  • Rajiv Senapati and HK Pati, "Modelling the Region-based VoLTE Cell Capacity Estimation using Resource Optimization", IET Communications, Volume 13, Issue 9, pp. 1225–1235, 2019. Q1, SCI, IF: 1.664.
  • Rajiv Senapati and HK Pati, "Impact of HARQ on VoLTE cell capacity for mixed radio condition in duplex mode", Electronics Letters, Volume 54, Issue 25, pp. 1460-1462, 2018. Q1, SCI, IF: 1.316.


  • Chaitanya Datta M and Rajiv Senapati, "An Adoptive Heart Disease Prediction Model using Machine Learning Approach", 22nd OITS International Conference on Information Technology (OCIT), 2022, IEEE. (Accepted for Publication in IEEE Explorer)
  • Sricharan Muttineni, Siddhesh Yerramneni, Bharath Chandra Kongara, Gowtham Venkatachalam, and Rajiv Senapati. "An Interactive Interface for Patient Diagnosis using Machine Learning Model." In 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), pp. 1-5. IEEE, 2022.
  • GSK Ganesh Prasad, A. Ajay Chowdari, Kaligithi Pritham Jona, and Rajiv Senapati. "Detection of CKD from CT Scan images using KNN algorithm and using Edge Detection." In 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), pp. 1-4. IEEE, 2022.
  • Shri Abhiram Chakravadhanula, Jaswanth Kolisetty, Karthik Samudrala, Bharat Preetham, and Rajiv Senapati. "Novel Decentralized Security Architecture for the Centralized Storage System in Hadoop using Blockchain Technology." In 2022 IEEE 7th International conference for Convergence in Technology (I2CT), pp. 1-4. IEEE, 2022.
  • Anasuya Sahoo, and Rajiv Senapati. "A novel approach for distributed frequent pattern mining algorithm using load-matrix." In 2021 International Conference on Intelligent Technologies (CONIT), pp. 1-5. IEEE, 2021.
  • Anasuya Sahoo, and Rajiv Senapati. "A Boolean load-matrix based frequent pattern mining algorithm." In 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), pp. 1-5. IEEE, 2020.
  • Rajiv Senapati, and Hemanta Kumar Pati. "VoLTE cell capacity estimation using AMR-WB codec." In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1885-1889. IEEE, 2018.


  • Chaitanya Datta M, and Rajiv Senapati. "Hybrid Clustering-based Fast Support Vector Machine Model for Heart Disease Prediction." In Intelligent Systems: Proceedings of ICMIB 2023. Singapore: Springer Nature Singapore, 2023. (Accepted)
  • Anasuya Sahoo, and Rajiv Senapati. "A Parallel Approach to Partition-Based Frequent Pattern Mining Algorithm." In Intelligent Systems: Proceedings of ICMIB 2021, pp. 93-102. Singapore: Springer Nature Singapore, 2022.
  • Pranaya Pournamashi Patro, and Rajiv Senapati. "Advanced binary matrix-based frequent pattern mining algorithm." In Intelligent Systems: Proceedings of ICMIB 2020, pp. 305-316. Springer Singapore, 2021.


  • Charishma Paruchuri, Deepika Narne, Lokesh Kumar Reddy, Eppela Vikash, Rajiv Senapati, "A System and A Method for Analyzing Road Accident Patterns", Application No.202241051561 A, Indian Patent Office Journal No. 37/2022.

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