O. P. Mishra

Work place: SAARC Disaster Management Centre (SDMC), Delhi, India & Geological Survey of India, Kolkata, India

E-mail: opmishra2010.saarc@gmail.com

Website:

Research Interests: Earth & Environmental Sciences

Biography

Dr O.P. Mishra obtained Doctor of Science (D.Sc.) in 2004 from Geodynamics Research Center, Ehime University, Japan for his outstanding research in the field of seismic tomography and tsunami generating mechanism in north-east Japan and Indian regions. His Ph.D study in Japan covered the Environmental Science with special emphasis to earthquake shaking and strong past tsunamigenic earthquakes of the NE Japan forearc region where the 2011 great Tohoku earthquake (Mw 9.0) occurred. He has degree of Master of Science & technology (M.Sc. Tech) in the Applied Geophysics from Indian School of Mines, Dhanbad in 1990, besides B.Sc (Hons) in Chemistry from the University of Burdwan, West Bengal, India. He is an expert of Applied Geophysics and solid earth science dealing with seismological research and disaster risk management system and dynamic of earthquake generating processes. Dr. Mishra authored more than 100 peered reviewed research papers, concept notes, and reports of national and international repute. He has edited several books on different themes of Natural Disasters. Currently, he is on deputation from Geological Survey of India as HEAD to SAARC Disaster Management Center; An Inter - Governmental organization of 8- South Asian countries (Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, Sri Lanka). He is the recipient of “National Mineral Award”-2008 by the Government of India in the field of “Disaster Management” under applied Geosciences. He is well known peered reviewers, members in editorial board and panelist of UN agencies on leading edge research and management for several international organizations of Geosciences and Disaster management, such as UNISDR, UNOCHA,UNESCAP, UNDP, ADRC, ADPC, USAID, ECO and many others.

Author Articles
Improving Situational Awareness for Precursory Data Classification using Attribute Rough Set Reduction Approach

By Pushan Kumar Dutta O. P. Mishra M.K.Naskar

DOI: https://doi.org/10.5815/ijitcs.2013.12.06, Pub. Date: 8 Nov. 2013

The task of modeling the distribution of a large number of earthquake events with frequent tremors detected prior to a main shock presents us unique challenges to model a robust classifier tool for rapid responses are needed in order to address victims. We have designed using a relational database for running a geophysical modeling application after connecting database record of all clusters of foreshock events from (1998-2010) for a complete catalog of seismicity analysis for the Himalayan basin. by Nath et al,2010. This paper develops a reduced rough set analysis method and implements this novel structure and reasoning process for foreshock cluster forecasting. In this study, we developed a reusable information technology infrastructure, called Efficient Machine Readable for Emergency Text Selection(EMRETS). The association and importance of precursory information in reference to earthquake rupture analysis is found out through attribute reduction based on rough set analysis. Secondly, find the importance of attributes through information entropy is a novel approach for high dimensional complex polynomial problems pre-dominant in geo-physical research and prospecting. Thirdly, we discuss the reducible indiscernible matrix and decision rule generation for a particular set of geographical co-ordinates leading to the spatial discovery of future earthquake having prior foreshock. This paper proposes a framework for extracting, classifying, analyzing, and presenting semi-structured catalog data sources through feature representation and selection.

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