Basics of Computational Geophysics

Dr. Samui is an Associate Professor in the Department of Civil Engineering at NIT Patna, India. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore, India, in 2008. His research interests include geohazard, earthquake engineering, concrete technology, pile foundation and slope stability, and application of AI for solving different problems in civil engineering. Dr. Samui is a repeat Elsevier editor but also a prolific contributor to journal papers, book chapters, and peer-reviewed conference proceedings. Barnali Dixon is a professor and executive director of Initiative on Coastal Resilience and Adaptation (iCAR) and the director of Geospatial Analytics lab (G-SAL) at the University of South Florida. Her research interests include the development and application of spatially integrated decision support tools (SDST) using GIS, GPS and remote sensing tools for modeling and managing soil, land use and land-water interfaces (terrestrial sources and aquatics sinks, including coastal waters) using approximation tools. She is particularly interested in transdisciplinary modeling of land-water interface under climate change in the context of planning, adaptation, and resilience. I have secured over $1.5 million in funding, published 50+ refereed publications, nineteen monographs, and technical reports. Dieu Tien Bui is Professor in GIS, in the Department of Business and IT at the University of South-Eastern Norway, Norway. He obtained a Master of Engineering, at Hanoi University of Mining and Geology, Hanoi, Vietnam, a PhD at the Department of Mathematical Sciences and Technology (IMT), Norwegian University, and was postdoctoral researcher in the same department. His research interests include GIS, remote sensing, artificial intelligence and machine learning. He published journal and review articles, and book chapters. .

• Part I: COMPUTATION & GEOPHYSICS APPLICATIONS1. Synthetic ground motions of the 2005 Kashmir M7.6 earthquake at the bedrock and at surface using stochastic dynamic finite fault modelling with a dynamic cornerHamid Sana2. Global particle swarm optimization technique in the interpretation of residual magnetic anomalies due to simple geo-bodies with idealized structureArkoprovo Biswas and Anand Singh3. Emerging Techniques to Simulate Strong Ground MotionSandeep Arora, Parveen Kumar and A. Joshi4. Earthquakes: Basics of seismology and seismic computational techniquesNaresh Kumar Sr., Devajit Hazarika Sr. and Kalachand Sain5. Significance and limit of electrical resistivity survey for detection sub surface cavity: a case study from, Southern Western Ghats, IndiaMayank Joshi, Alka Gond, Prasobh. P. Rajan, B. S. S, Padma Rao B and Vivekanandan Nandakumar6. A review on Geophysical parameters comparison in Garhwal and Kumaun Himalaya region, India Sandeep Arora and Parveen Kumar7. Liquefaction Susceptibility of High Seismic region of Bihar considering Fine ContentSunita Kumari and Sufyan Ghani8. Evaluating the reliability of various geospatial prediction models in landslide risk zoningChalantika L. Salui9. Fractals and Complex networks Applied to EarthquakesDenisse Pasten10. Liquefaction as a seismic hazard: scales, examples and analysisHamid Sana11. Landslide Prediction and Field Monitoring for Darjeeling Himalayas: A case study from KalimpongNeelima Satyam12. Improvement of Shear Strength of Cohesive Soils by Additives: A ReviewAmir H. Gandomi and Tamur Salik13. Static stress change from 6 February, 2017 (M 5.8) earthquake Northwestern Himalaya, IndiaMahesh prasad Parija, Arkoprovo Biswas and Shubhasmita Biswal14. Remote Sensing for Geology-GeophysicsSurajit Panda and Krishnendu BanerjeePART II: COMPUTATION & GEOSCIENCE APPLICATIONS15. Prediction of Petrophysical Parameters using Probabilistic Neural NetworkTechniqueNagendra Pratap Singh16. Interpretation and Resolution of multiple structures from residual gravity anomaly data and application to mineral explorationArkoprovo Biswas17. On fractal based estimations of soil subsidence.Tatyana P. Mokritskaya and Anatolii Tushev18. A Neural Network to predict spectral accelerationAmir H. Gandomi, Ali R. Kashani, Mohsen Akhani and Charles V. Camp19. Body tide predictionSung-Ho Na20. Time series analysis of hydrometeorological data for the characterization of meltwater storage in glaciers of Garhwal HimalayaAmit Kumar, Akshaya Verma, Rakesh Bhambri and Kalachand Sain21. Trends in Frequency and Intensity of Tropical Cyclones in the Bay of Bengal: 1972-2015OMVIR SINGH and Pankaj Bhardwaj22. Application of machine learning models in hydrology: case study of stream temperature forecasting in the Drava River using coupled wavelet analysis and adaptive neuro-fuzzy inference systems modelSenlin Zhu, Marijana Hadzima-Nyarko and Ognjen Bonacci