IIT BHU VARANASI , INDIA
Author Profile
🌟 BIOGRAPHY: MR. ABHIMANYU KUMAR GOND
📚 EARLY ACADEMIC PURSUITS
Born on January 18, 1996, in Siwan, Bihar, Mr. Abhimanyu Kumar Gond exhibited academic excellence from an early age. He achieved significant milestones, including a Bachelor’s in Civil Engineering (2017) with an impressive 84.2%. His passion for geospatial technologies led him to pursue an M.Tech in GIS and Remote Sensing from MNNIT Allahabad, which he completed in 2019. Currently, he is a dedicated Ph.D. Scholar at the Indian Institute of Technology (IIT) BHU, Varanasi, specializing in air quality prediction and its impact on mining environments.
🧪 PROFESSIONAL ENDEAVORS
Mr. Gond‘s professional journey reflects his commitment to education and research. With hands-on experience as a Teaching Assistant during his Ph.D., he has guided undergraduate and postgraduate students in remote sensing, GIS, and image processing. He also worked as a Junior Project Fellow at the Institute of Forest Productivity, Ranchi, contributing to environmental research.
🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON ENVIRONMENT
Mr. Gond‘s research aims to mitigate environmental and public health challenges posed by mining activities. His Ph.D. work focuses on developing a machine learning model integrating satellite and ground data for monitoring air quality. This research aids stakeholders in proactive decision-making for environmental management. Additionally, his M.Tech thesis on digital watermarking in satellite images addressed data security issues, showcasing his multidisciplinary expertise.
🌍 IMPACT AND INFLUENCE
Through conference presentations, journal publications, and workshops, Mr. Gond has consistently shared his insights with the academic and scientific community. His publications in esteemed journals like Remote Sensing Applications: Society and Environment and Atmospheric Pollution Research highlight his innovative approach to air quality assessment using machine learning and geospatial techniques.
📈 ACADEMIC CITATIONS AND PUBLICATIONS
Mr. Gond has co-authored several impactful publications that underscore his expertise in environmental monitoring and geospatial analytics:
- “Spatio-temporal trend analysis of air pollutants during COVID-19 over Korba district” (Remote Sensing Applications: Society and Environment).
- “Developing a Machine Learning Model Using Satellite Data to Predict the AQI Over Korba Coalfield” (Atmospheric Pollution Research).
- “Prediction of Spectral Indices Using LSTM Model” (Remote Sensing for Sustainable Future).
His scholarly work has been cited in prominent research platforms, including Google Scholar and ResearchGate.
🏅 HONORS & AWARDS
- Certificate of Excellence in Article Writing.
- Recognition for outstanding teaching assistance during his Ph.D.
- Multiple certifications in short-term courses such as “Recent Advancement in GIS Engineering” and “Numerical and Optimization Techniques.”
- Awarded “Student of the Year” during his undergraduate studies for leadership and academic achievements.
🌐 LEGACY AND FUTURE CONTRIBUTIONS
Mr. Gond aspires to further contribute to the fields of GIS, remote sensing, and environmental engineering. His future work promises to influence policy-making, enhance public health strategies, and support sustainable development initiatives.
🌠 FINAL NOTE
Mr. Gond’s unwavering dedication to research, teaching, and environmental sustainability makes him a promising scholar in the field of geospatial analytics and environmental engineering. He has consistently demonstrated the ability to address real-world challenges through academic rigor and technical expertise.
📑 NOTABLE PUBLICATIONS
“Developing a machine learning model using satellite data to predict the Air Quality Index (AQI) over Korba Coalfield, Chhattisgarh (India)”
- Authors: Abhimanyu Kumar Gond, Aarif Jamal, Tarun Verma
- Journal: Atmospheric Pollution Research
- Year: 2025
“Spatio-temporal trend analysis of air pollutants during COVID-19 over Korba district, Chhattisgarh (India) using Google Earth Engine”
- Authors: Abhimanyu Kumar Gond, Aarif Jamal, Tarun Verma
- Journal: Remote Sensing Applications: Society and Environment
- Year: 2024