Mr. Pramod Kumar Parida
Assistant Professor, Department of Systemics
Papers published in journals:

  • Parida PK, Marwala T, Chakraverty S (2016) An Overview of Recent Advancements in Causal Studies. Archives of Computational Methods in Engineering, Vol.: 24(2), pp: 319-335. (Impact Factor: 6.605)
  • Parida PK, Marwala T, Chakraverty S (2017) Altered-LiNGAM (ALiNGAM) for solving Nonlinear Causal Models when data is Nonlinear and Noisy. Communications in Nonlinear Science and Numerical Simulation. Vol.: 52, pp: 190-202. (Impact Factor: 3.181)
  • Parida PK, Marwala T, Chakraverty S (2018) A Multivariate Additive Noise Model for Complete Causal Discovery. Neural Networks. Vol.: 103, pp: 44-54. (Impact Factor: 7.197)

Career Graph:

  • Expertise in Machine Learning, Deep Learning, Artificial Intelligence, Exploratory Data Analysis, and Mathematical/Statistical Analysis/Modelling.
  • Over 2 years of experience as a hands-on Data Scientist in the industry, where he solved and build models in the fields of Storage, Cloud Platform, Autonomous and Surveillance industry.
  • Post-Doctoral Research Fellow in the University of Johannesburg, South Africa for a year, funded through Global Excellency Scholarship.
  • Introduced new theory into Causality for qualitative analysis and inference of Multivariate additive Noise Models.

Academic Background (Degrees, University Name & Year of Passing):

  • B.Sc. (Math Honours) from Sambalpur University (2010)
  • M.Sc. (Mathematics) from National Institute of Technology, Rourkela, Odisha (2012)
  • Ph.D. from University of Johannesburg, South Africa (2017)
  • Honours and Achievements:
  • NRF (National Research Foundation) Grant under supervisor-linked Doctoral Fellowship (2013-2017)
  • GES (Global Excellency Scholarship) bursary for Post-Doctoral Research Fellowship (2017-2020)