Dr. Kunjari Mog earned his Ph.D. from the Indian Institute of Science (IISc) Bangalore, where his doctoral research focused on “Deformation Characteristics of Soil under Sequential Dynamic Torsional and Cyclic Axial Loading." He was an Institute Post-Doctoral Fellow at IIT Bombay, earned his M.Tech. in Civil Engineering from NIT Silchar (2014), and his B.Tech. from Tripura Institute of Technology, Tripura University (2011). Prior to his Ph.D., he taught at ICFAI University Tripura and Dhalai District Polytechnic. Before joining IIEST, he served as an Assistant Professor at NIT Hamirpur (August 2023 – August 2025).
His expertise includes geotechnical earthquake engineering, soil dynamics, liquefaction, site characterization, landslide risk mitigation, subsurface exploration, and numerical modeling. His Foldscope-based research on sand particle morphology was featured in The Hindu (2023) for its potential to democratize soil shape characterization.
Dr. Mog received the Best Paper Award in Geotechnical Engineering (IIT Bombay, 2018), an ISSMGE Foundation Grant (2018) for attending GeoMeast, and a B.Tech Innovative Project Funding grant at NIT Hamirpur. He is a Life Member of IGS, ISET, IEI, and GEER, and a quadrennial member of ISSMGE. His current work emphasizes natural hazards mapping, AI/ML applications, and affordable technologies for advancing geotechnical/civil engineering.
*(IGS: Indian Geotechnical Society; ISET: Indian Society of Earthquake Technology; IEI: Institution of Engineers (India); GEER: Geotechnical Extreme Events Reconnaissance; ISSMGE: International Society for Soil Mechanics and Geotechnical Engineering)
My primary research area is Geotechnical Earthquake Engineering, with emphasis on understanding soil behavior under dynamic loading and its role in natural hazard assessment and mitigation. My work focuses on the evaluation of dynamic soil properties, liquefaction potential, and seismic ground response, which are critical for the safe design of civil infrastructure.
In addition to earthquake-induced hazards, my research extends to the study of landslides and floods, where I integrate remote sensing data, subsurface exploration, and field geophysical testing methods (such as MASW, SPT, and resistivity) for hazard mapping and site characterization. I also explore soil stabilization techniques as a sustainable approach to improve soil performance under adverse conditions.
To complement experimental and field studies, I employ advanced numerical modeling tools, including Finite Element and Discrete Element Modeling (DEM), to simulate soil behavior, soil–structure interaction, and complex geotechnical processes. My long-term vision is to develop affordable, field-applicable, and AI/ML-enabled solutions that advance geotechnical and civil engineering practice for resilient infrastructure development.
Created: 23 November 2019
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