Dr. Dilip Senapati

Room No. Systems Modelling and Simulation Lab, Department of Computer Science

+91-7377948428

senapatidillip@gmail.com
dilipsenapati.cs@ravenshawuniversity.ac.in

 The Modeling and Simulation Lab provides a great exposure to researchers to work hard in a friendly and accepting environment among highly motivated lab mates. Dr. Senapati provides guidance on formulating research problems, locating resources relevant to the research, regularly monitoring research and progress of the scholars, designing experimental models, encouraging and providing constructive feedback on research outcomes, analyses, and experimentations. The research group works as a team and assist each other in meeting time-critical or labor-intensive tasks.

         Therefore, the lab strictly focuses on publishing high quality research publications in high impact factor journals of international repute. From the scientific perspective, the fundamental goal is to develop models with high degree of originality and significance to the research community as a whole. The lab provides good exposure to address real-world research problems and hence for developing constructive models and simulation environments which may assist the research community. We also welcome and encourage hard working and highly skilled research scholars from different institutions to collaborate with our group and actively participate under the project works taken up by the department.

Selected Publications

  1. A robust energy optimization and data reduction scheme for iot based indoor environments using local processing framework, Journal of Network and Systems Management, Springer, 2021, (SCI index, impact factor: 2.2). 
  2. Evidence of power-law behavior in cognitive IoT applications, Neural Computing and Applications, Springer, 2020, (SCI index, impact factor: 5.66).
  3. Generating of cubic power-law for high frequency intra-day returns: Maximum Tsallis entropy framework, Digital Signal processing, Elsevier, 2016, (SCI index, impact factor: 3.3)
  4. Performance evaluation of wireless communication systems over Weibull/q-Lognormal shadowed fading using Tsallis’ entropy framework, Springer, 2019, (SCI index, impact factor: 1.6).
  5. Computational modeling of non-Gaussian option price using non-extensive Tsallis’ entropy framework, Computational Economics, Springer, 2020, (SCI index, impact factor: 1.87).
  • Group
  • Research
  • Publications
  • Teaching

Gangadhar Nayak

Research Scholar

Tanmay Mukherjee

Research Scholar

Sujit Bebortta

Research Scholar

Aditya Ranjan Dalabehera

Research Scholar

  • Quantum Computing 
  • Stochastic Systems Modeling & Simulation
  • Wireless Sensor Networks & Internet of Things
  • Image Processing and Computer Vision
  • Machine Learning and Deep Learning
  • Soft- Computing
  • Cloud Computing
  • Information Theory and Entropy Optimization
  • Computational Finance
  • Bioinformatics
  • Network Sciences
  1.  A robust energy optimization and data reduction scheme for iot based indoor environments using local processing framework, Journal of Network and Systems Management, Springer, 2021, (SCI index, impact factor: 2.2).
  2. Evidence of power-law behavior in cognitive IoT applications, Neural Computing and Applications, Springer, 2020, (SCI index, impact factor: 5.66).
  3. Generating of cubic power-law for high frequency intra-day returns: Maximum Tsallis entropy framework, Digital Signal processing, Elsevier, 2016, (SCI index, impact factor: 3.3)
  4. Performance evaluation of wireless communication systems over Weibull/q-Lognormal shadowed fading using Tsallis’ entropy framework, Springer, 2019, (SCI index, impact factor: 1.6)
  5. Computational modeling of non-Gaussian option price using non-extensive Tsallis’ entropy framework, Computational Economics, Springer, 2020, (SCI index, impact factor: 1.87).
  6. A new tight approximation towards the computation of option price, International Journal of Information Technology, Springer, 2021, (Scopus index).
  7. Evaluation of Symbol Error Probability using a New Tight Gaussian Q Approximation, International Journal of Systems, Control and Communications, Inderscience, 2020, (Scopus index). 
  8. Integrated bacteria-algal bioreactor for removal of toxic metals in acid mine drainage from iron ore mines,  Bioresource Technology Reports, Elsevier, 2020, (Scopus index).
  9. Adaptive Applications of Maximum Entropy Principle, Progress in Advanced Computing and Intelligent Engineering – Proceedings of ICACIE 2019 Springer. 
  10. Performance evaluation of composite fading channels using q-Weibull distribution, Progress in Advanced Computing and Intelligent Engineering – Proceedings of ICACIE 2019, Springer. 
  11. A real-time smart waste management based on cognitive IoT framework, International Conference on Advances in Electrical and Computer Technologies2019, Springer. 
  12. Characterization of Range for Smart Home Sensors Using Tsallis’ Entropy Framework, Progress in Advanced Computing and Intelligent Engineering – Proceedings of ICACIE 2018, Springer. 
  13. Empirical characterization of network traffic for reliable communication in IoT devices, Security in cyber-physical systems: foundations and applications, Springer Book Chapter, 2021.
  14. Adaptive applications of maximum entropy principle. In Progress in Advanced Computing and Intelligent Engineering 2021 , Springer, Singapore.
  15. A non-stationary analysis of erlang loss model. In Progress in Advanced Computing and Intelligent Engineering, 2021. Springer, Singapore.
  16. A secure blockchain-based solution for harnessing the future of smart healthcare. IoT-Based Data Analytics for the Healthcare Industry. Academic Press, 167-191. DOI: https://doi.org/10.1016/B978-0-12-821472-5.00004-1

Awards and Honours:

  • Best research record in the School of Information & Computer Sciences, 2019.
  • GATE all Indian rank 255, 2006
  • GATE all Indian rank 256, 2007
  • JNU MTech all India rank 10
  • NET, December, 2012
  • UGC fellowship from 2007 to 2012
  • Best paper award, Progress in Advanced Computing and Intelligent Engineering – Proceedings of ICACIE 2019, Springer. 
  • Serves as a regular reviewer for:
    • IEEE Internet of Things Journal (Impact Factor: 11.705)
    • IEEE Transactions on Industrial Informatics (Impact Factor: 10.215)
    • Journal of Network and Systems Management (Impact Factor: 2.139), and many more.
  • Served as session chair for ICACIE 2019, Springer.
  • Member of Publication Chair at ICACIE 2021, Springer.

Teaching :

  1. Research Methodology
  2. Image Processing and Computer Vision
  3. Probability & Stochastic Process
  4. Machine Learning & Deep Learning
  5. Data Mining
  6. Soft- Computing
  7. Cloud Computing
  8. Advanced Data Structure
  9. Optimization Techniques