Debi Prasad Tripathy

Work place: Department of Mining Engineering, National Institute of Technology, Rourkela, Odisha, India



Research Interests: Computational Engineering, Planning and Scheduling, Data Mining


Prof. Debi Prasad Tripathy (1966) is currently working as Professor and Former Head in the Department of Mining Engineering at National Institute of Technology, Rourkela, Orissa, India. He did his B.E. (Min.) from VNIT, Nagpur; M.Tech. (Mine Planning) from I.T., B.H.U., Varanasi; Ph.D. (Mine Environment) from Indian School of Mines, Dhanbad. He also did PG. Dip. in Ecology and Environment from IIEE, New Delhi; Master of Financial Management (Pondicherry University); PG. Dip. in PM&IR (Annamalai University). He has attended an International Training program on World Bank aided EMCBTAP: Mining Sub-component, UNSW, Sydney, June 14-25, 2004, Australia. He has undertaken a specialized training on “Disposal and Utilization of Coal Combustion Residues” at Southern Illinois University, USA in June 2006.  His current areas of teaching and research are: Mine Environment and Safety Engineering, Mine Planning, Computer Applications in Mining and Mine Management.

He has published five books namely: Noise Pollution, 1999; Dictionary on Environmental Science and Engineering, 2000, Dictionary of Earth Science, Dictionary of Quotations and Environmental Pollution Research, 2002 published by M/s APH Publishers, New Delhi. He has published over 120 technical papers in International/ National Journals and Conferences/Seminars on Mine Environment and other areas. He has organized/member of several International/National Seminars/ Conferences on Environment   and edited a number of Proceedings.  He has been awarded with Deokhas Prize from Nagpur University for academic excellence, honored with “MSPI Outstanding Personalities Award-1998”, New Delhi; UWA Life time Achievement Award”, Chennai . He has been honored with Gold medals and citations for Best Paper from I.E. (I), OSC, and Bhubaneswar in 2001, 2002, 2003, 2005, 2006, 2007, 2008 and 2009. In recognition of his research contributions, he has been selected as member, Editorial Board of Journal of Pollution Research (EnviroMedia), India; International Journal, JGMR; IJ of Earth Science Engg., and Peer Reviewer of several International Journals. He has visited Australia, USA, Canada, Papua New Guinea, Dubai, South Africa, Botswana, Singapore and Thailand on various academic assignments. He is a Fellow of ISRMTT, IE (I), UWA, and member of other prestigious professional societies like MEAI, ISTE, IMJRF, IAEM, MMGI and ASEG.

Author Articles
Prediction of Rainfall in India using Artificial Neural Network (ANN) Models

By Santosh Kumar Nanda Debi Prasad Tripathy Simanta Kumar Nayak Subhasis Mohapatra

DOI:, Pub. Date: 8 Nov. 2013

In this paper, ARIMA(1,1,1) model and Artificial Neural Network (ANN) models like Multi Layer Perceptron (MLP), Functional-link Artificial Neural Network (FLANN) and Legendre Polynomial Equation ( LPE) were used to predict the time series data. MLP, FLANN and LPE gave very accurate results for complex time series model. All the Artificial Neural Network model results matched closely with the ARIMA(1,1,1) model with minimum Absolute Average Percentage Error(AAPE). Comparing the different ANN models for time series analysis, it was found that FLANN gives better prediction results as compared to ARIMA model with less Absolute Average Percentage Error (AAPE) for the measured rainfall data.

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