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).