Mr. Amit Jaiswal | Geology Engineering | Best Researcher Award
Research Scholar | Indian Institute of Technology Patna | India
Research for Best Researcher Award: Amit Jaiswal
Strengths for the Award
Amit Jaiswal demonstrates exceptional prowess in Geotechnical Engineering, particularly in areas like Rock Mechanics, Slope Stability, and Landslide Analysis. His research is marked by significant contributions to understanding rock mass classification, slope stability, and the impact of freeze-thaw conditions on rock strength. Notably, his paper on slope stability through rock mass classification and kinematic analysis published in the Journal of Rock Mechanics and Geotechnical Engineering (2024) is a testament to his high-impact research.
Jaiswal’s ability to integrate Machine Learning with traditional geotechnical methods enhances the accuracy of his models, showcasing his innovative approach. His involvement in high-impact publications in journals like Scientific Reports and Quaternary Science Advances, and his numerous conference presentations, reflect his dedication and leadership in advancing knowledge in his field.
Areas for Improvement
While Jaiswal’s research output is commendable, there are areas where further enhancement could bolster his profile. For instance:
- Broader Research Collaboration: Expanding collaborations beyond geotechnical engineering to interdisciplinary fields could provide new perspectives and enhance the application of his research.
- Increased Public Engagement: Engaging more with non-academic audiences through public talks or outreach programs could raise awareness of his work’s real-world applications and societal impact.
- Inclusion of Emerging Technologies: Exploring integration with newer technologies or methodologies, such as advanced AI applications in predictive modeling, could further enrich his research contributions.
Conclusion
Amit Jaiswal stands out as a promising candidate for the Best Researcher Award due to his robust research portfolio and impactful publications. His expertise in geotechnical engineering, combined with his innovative use of machine learning techniques, positions him as a leading researcher in his field. Addressing the areas for improvement could enhance his already impressive profile, further solidifying his role as a prominent researcher in geotechnical engineering and related disciplines.
Short Biography
Amit Jaiswal 🧑🎓 is a dedicated research scholar in Geotechnical Engineering at the Indian Institute of Technology Patna. With a strong background in rock mechanics and machine learning applications, Jaiswal is recognized for his pioneering work in slope stability and landslide analysis. His research aims to enhance the understanding and management of geotechnical challenges through innovative methodologies.
Education 🎓
- PhD (Pursuing) in Rock Mechanics, Indian Institute of Technology Patna
- M.Sc. in Geology, Institute of Science, Banaras Hindu University (2016-2018), CPI: 9.39
- B.Sc. (Hons.) in Geology, Institute of Science, Banaras Hindu University (2013-2016), CPI: 8.65
- 12th Standard, Kendriya Vidyalaya, BHU, Science, 91%
- 10th Standard, Kendriya Vidyalaya, BHU, Science, 89.3%
Research Experience 🔬
Amit Jaiswal has held prominent positions such as Senior Research Fellow at IIT Patna (since 2024) and Junior Research Fellow at IIT Patna (2023-2024) and IIT BHU (2021-2023). His prior experience includes working as a Mine Geologist at Hindustan Zinc Limited, contributing to practical applications of geotechnical research in industry settings.
Research Interests 🌍
Jaiswal’s research focuses on Rock Mechanics, Slope Stability, Landslide Analysis, Tunneling, Petrology, and Structural Geology. He is also exploring Machine Learning applications to enhance predictive models and assessment techniques in geotechnical engineering.
Awards 🏆
- Prof. T.N. Singh Best Paper Award at the 2nd International Conference on Geotechnical Issues in Energy, Infrastructure, and Disaster Management, organized by IIT Patna (2024).
Publications 📚
Jaiswal, A., Verma, A.K., & Singh, T.N. (2024). A novel proposed classification system for rock slope stability assessment. Scientific Reports, 14(1), 10992. (Nature Scientific Reports, SCI, IF 3.8, Q1)