Ph.D Scholar, IIT BHU VARANASI, India
Mr. Abhimanyu Kumar Gond is a Ph.D. scholar in the Department of Mining Engineering at the Indian Institute of Technology, Banaras Hindu University (IIT BHU), Varanasi, India. He is currently working on his doctoral research on air quality prediction and its impact over large open-cast coal mining complexes in Chhattisgarh, India. Abhimanyu is an enthusiastic scholar with a strong background in GIS, remote sensing, and machine learning techniques. His work focuses on developing innovative models using satellite data and machine learning to assess and predict air quality and its environmental impacts. Apart from academics, he is also passionate about social work, sports, and public speaking. 🎓🌍
Publication Profile
ORCID
Education
Abhimanyu completed his Ph.D. (Pursuing) at IIT BHU, Varanasi, where he is specializing in Air Quality Prediction and its Impact over Korba Coalfield, Chhattisgarh, with a CPI of 90%. He holds a Master’s degree in GIS and Remote Sensing from MNNIT Allahabad, graduating in 2019 with 73%, and a Bachelor’s degree in Civil Engineering from AISECT University Bhopal with 84.2%. His academic journey is supported by a solid foundation in technical skills, including proficiency in ArcGIS, Python, Google Earth Engine, ENVI, Erdas, and various machine learning models. 🏫💻
Experience
Abhimanyu has extensive teaching experience through a three-year Teaching Assistantship (TA) during his Ph.D. program, where he taught undergraduate and postgraduate students in areas related to remote sensing, GIS, and coal quality utilization. Additionally, he worked as a Junior Project Fellow at the Institute of Forest Productivity, Ranchi, Jharkhand. His industrial exposure includes an internship at Bansal Construction Pvt. Ltd., where he worked as a Site Engineer for the construction of an auditorium. He also organized and participated in several workshops and short-term courses in GIS, environmental engineering, and construction techniques. 🧑🏫🔧
Awards and Honors
Abhimanyu has earned recognition for his academic excellence, receiving a Certificate of Excellence in article writing. His contributions to the academic community are reflected in his published research on air quality prediction and environmental monitoring using remote sensing and machine learning. He has also received accolades for his sports achievements, including placing third in the 1500-meter race at the regional level. 🏅🏆
Research Focus
Abhimanyu’s research focuses on the integration of satellite and ground data to develop machine learning models that predict air quality, particularly in regions impacted by coal mining. His Ph.D. thesis aims to mitigate the environmental and health impacts of coal mining through proactive air quality monitoring. He is also working on the development of a web-based air quality monitoring application using Google Earth Engine. His other research interests include GIS, remote sensing, and environmental management. 🌱🔬
Conclusion
Mr. Abhimanyu Kumar Gond is a dedicated researcher with a strong academic background in GIS, remote sensing, and environmental engineering. His work on air quality prediction and its environmental impact aims to bring about significant contributions to public health and environmental sustainability. With his robust technical skills and passion for research, he is poised to make valuable advancements in the field of environmental monitoring and coal mining management. Abhimanyu’s academic excellence, hands-on experience, and active involvement in extracurricular activities reflect his well-rounded capabilities as a future academician and researcher. 🌟📈
Publications
Spatio-temporal trend analysis of air pollutants during COVID-19 over Korba district, Chhattisgarh (India) using Google Earth Engine. Remote Sensing Applications: Society and Environment, 33, 101143. DOI
Developing a Machine Learning Model Using Satellite Data to Predict the Air Quality Index (AQI) Over Korba Coalfield, Chhattisgarh (India). Atmospheric Pollution Research, 102398. DOI
Prediction of Spectral Indices Over Korba District, Chhattisgarh (India) using Long Short-Term Memory (LSTM) model. Remote Sensing for Sustainable Future: A Roadmap Towards Viksit Bharat, AKTU Lucknow. (Accepted, to be presented in December 2024)
Development of Air Quality Monitoring Web Application Using Google Earth Engine. 9th Indian International Conference on Air Quality Management (IICAQM 2024), IIT Madras. (To be presented in December 2024)