Author
Contributions by role
Author 3
Arif Ali Baig Moghal
National Institute of Technology Warangal, Warangal, India
Summary
Dr Arif Ali Baig Moghal is a Distinguished Researcher and a Professor of the Department of Civil Engineering at the National Institute of Technology Warangal (NITW). Dr Arif received his PhD in Civil Engineering from the Indian Institute of Science, Bangalore, India. Before joining NITW, he had worked at the Bugshan Research Chair in Expansive Soils at King Saud University, Riyadh, as an 'Assistant Professor' and as an 'Associate Professor'. He has 20 years of research, teaching and consulting experience within the broad fields of Civil, Geotechnical, and Geoenvironmental Engineering, addressing the nexus between sustainability and the environment. His research was funded by KACST (King Abdulaziz City for Science and Technology, Saudi Arabia) and DST, India. Dr Arif is the author of 88 Journal Papers, 2 Edited Books, 21 Book Chapters, 35 ASCE Geotechnical Special Publications, and 29 full conference papers. He has 6 Patents to his credit. Dr Arif has given 22 invited presentations in India and Saudi Arabia. He is a Fellow of the Indian Geotechnical Society (FIGS), a Fellow of the Institute of Engineers, India (FIE) and a Member of the American Society of Civil Engineers (M.ASCE). Dr. Arif is listed among the top 2% cited scientists compiled by Stanford University for September 2022, October 2023, and September 2024. Dr. Arif is an 'Editorial Board Member' for 8 International Journals and an Active Reviewer for 105 International Journals.
Edited Journals
IECE Contributions

Open Access | Research Article | 14 April 2025
Carbon Footprint Analysis on Alternate Disposal Strategies for Personal Protective Equipment Waste
Sustainable Intelligent Infrastructure | Volume 1, Issue 1: 29-38, 2025 | DOI: 10.62762/SII.2025.512875
Abstract
The use of personal protective equipment (PPE) has gained universal acceptance as a critical measure for safeguarding individuals against hazardous environments, including exposure to infectious agents and harmful substances. The increased use of PPE across various industries has resulted in a significant rise in its consumption. Primarily, the steady surge in global COVID cases has caused a sudden rise in demand for PPE. However, the indiscreet and irrational disposal method can potentially augment the impending climate change problem. In the prevailing situation, there is a need to assess their current mode of disposal in terms of carbon emissions. The present study aims to perform carbon... More >

Graphical Abstract
Carbon Footprint Analysis on Alternate Disposal Strategies for Personal Protective Equipment Waste

Open Access | Research Article | 11 April 2025
Investigating the Adsorption Properties of Soil Additive Mixtures Using Microstructural Characterization Techniques for Liner Applications
Sustainable Intelligent Infrastructure | Volume 1, Issue 1: 19-28, 2025 | DOI: 10.62762/SII.2025.498283
Abstract
This study evaluated the potential of readily available Indian soils, red soil (Bengaluru) and black cotton soil (Belgaum), as sustainable and cost-effective alternatives to synthetic landfill liners for heavy metal containment. Utilizing Scanning Electron Microscopy (SEM) and Energy-Dispersive Spectroscopy (EDS), we characterized the soil's microstructural properties and elemental composition to assess their adsorption capabilities. To enhance metal capture, soils were amended with lime, cement, and fly ash. Batch leaching experiments, simulating landfill conditions with copper and chromium contamination, quantified adsorption efficiency. Microscopic analysis of leached samples using SEM an... More >

Graphical Abstract
Investigating the Adsorption Properties of Soil Additive Mixtures Using Microstructural Characterization Techniques for Liner Applications

Open Access | Research Article | 24 March 2025 | Cited: 1
Forecasting Earthquake-induced Ground Movement under Seismic Activity Using Response Surface
Sustainable Intelligent Infrastructure | Volume 1, Issue 1: 4-18, 2025 | DOI: 10.62762/SII.2025.846883
Abstract
This study employs Response Surface Methodology (RSM) to model and optimize earthquake-induced ground movements in gravelly geohazard-prone environments. RSM efficiently evaluates the interactions of seismic parameters, including soil type, fault distance, and peak ground acceleration (PGA), reducing computational and experimental efforts. A dataset of 234 entries encompassing 11 seismic and soil stress variables was curated and analyzed, yielding a high-precision predictive model with an R² of 0.9997. The resulting closed-form equation facilitates accurate risk assessment, structural safety optimization, and seismic resilience planning. By identifying critical thresholds and nonlinear rela... More >

Graphical Abstract
Forecasting Earthquake-induced Ground Movement under Seismic Activity Using Response Surface