IIT BHU - India
AUTHOR PROFILE
SCOPUS
ORCID
EARLY ACADEMIC PURSUITS 🎓
Abhimanyu Kumar Gond’s academic journey began with a strong foundation in Civil Engineering at AISECT University, Bhopal, where he excelled with a notable 84.2%. His passion for technology and environmental studies led him to pursue a Master of Technology in GIS and Remote Sensing from MNNIT Allahabad, where he achieved a commendable 73%. Building on his robust technical knowledge, Abhimanyu is currently pursuing a Ph.D. at the prestigious Indian Institute of Technology (IIT) Banaras Hindu University (BHU) in Varanasi. His ongoing research focuses on air quality prediction and its impacts, particularly in the context of large open-cast coal mining operations.
PROFESSIONAL ENDEAVORS 💼
Abhimanyu’s professional journey has been marked by both academic and applied research experiences. As a teaching assistant at IIT BHU, he has played a crucial role in guiding undergraduate and postgraduate students in the areas of remote sensing, GIS, coal quality, and image processing. This role has honed his leadership and communication skills while deepening his understanding of practical applications in environmental science. Additionally, his earlier work as a Junior Project Fellow at the Institute of Forest Productivity in Ranchi provided him with hands-on experience in environmental data collection and analysis, which he later integrated into his research on air quality prediction.
CONTRIBUTIONS AND RESEARCH FOCUS 🔬
Abhimanyu’s research contributions are primarily focused on air quality prediction, leveraging satellite data and machine learning techniques. His Ph.D. research aims to develop an integrated satellite and ground-data fusion model to predict air quality in coal mining regions, with an emphasis on the Korba coalfield in Chhattisgarh, India. He has made notable strides in using AIR QUALITY machine learning models such as Long Short-Term Memory (LSTM) for air quality prediction, contributing significantly to the field of environmental monitoring. Abhimanyu has also worked on the development of a web application to monitor air quality using Google Earth Engine, a tool that is expected to have a significant impact on policy and decision-making related to air pollution in coal mining areas.
ACCUMULATION OF KNOWLEDGE AND RECOGNITION 🏅
Abhimanyu’s dedication to his field has earned him recognition in several prestigious journals. His research articles on air quality trends and machine learning models for predicting air quality have been published in notable journals such as Remote Sensing Applications: Society and Environment and Atmospheric Pollution Research. These publications have garnered attention within the AIR QUALITY scientific community for their innovative approach to environmental monitoring using remote sensing and AI. Abhimanyu’s work continues to contribute valuable insights into the effects of coal mining on air quality, which is crucial for both public health and environmental management.
IMPACT AND INFLUENCE 🌍
Abhimanyu’s research has a direct impact on both environmental and public health policies in mining regions. His work, particularly in the Korba coalfield, is vital for understanding the temporal and spatial trends of air pollutants and their relationship with human health. By developing predictive models for air quality, Abhimanyu’s studies assist in mitigating the harmful AIR QUALITY effects of air pollution caused by coal mining. His contributions extend beyond academia, with practical applications in governmental and industrial decision-making, guiding the implementation of effective mitigation measures in high-risk areas.
LEGACY AND FUTURE CONTRIBUTIONS 🌱
Abhimanyu’s long-term research vision is to develop more sophisticated models for air quality prediction, integrating advanced satellite data and machine learning techniques. His aim is to extend his current research to other coal mining regions in India and globally, expanding the scope of his work to provide actionable solutions for mitigating the environmental impacts of mining. The integration of satellite data with ground-based measurements will continue to play a key role in his future projects, fostering greater collaboration between academia, industry, and policymakers. Abhimanyu’s work is expected to leave a lasting legacy in the field of environmental engineering, particularly in the sustainable management of air quality in mining regions.
NOTABLE PUBLICATIONS
Title: Developing a machine learning model using satellite data to predict the Air Quality Index (AQI) over Korba Coalfield, Chhattisgarh (India)
Authors: Gond, A.K., Jamal, A., Verma, T.
Journal: Atmospheric Pollution Research, 2025, 16(2), 102398.