Applications of AI and ML in Geotechnical and Geoenvironmental Engineering
Geotechnical and Geoenvironmental Engineering
Ground Improvement
Monitoring and mapping with UAVs
Probabilistic and Reliability based Designs
Applications of AI and ML in Geotechnical and Geoenvironmental Engineering, Geotechnical and Geoenvironmental Engineering, Ground Improvement, Monitoring and mapping with UAVs, Probabilistic and Reliability based Designs
Jawaharlal Nehru Technological University Kakinada
India
2018
Ph.D.
Indian Institute of Technology
India
Experience
Aug 2022 to Feb 2023 | SIRE Research Fellow | Geotechnical and Geoenvironmental Engineering Laboratory, University of Illinois Chicago, IL 60607, USA
Sept 2019 to Jul 2020 | Visiting Faculty | Jawaharlal Nehru Technological University Kakinada, India
Aug 2018 to Aug 2019 | Research Associate | Indian Institute of Technology Hyderabad, India
Oct 2016 to Dec 2016 | Visiting Scholar | Ritsumeikan University, Shiga Prefecture, Japan
May 2011 to Sept 2011 | Guest Faculty | MRAGR Govt. Polytechnic, Vizianagaram, India
May 2010 to May 2011 | GET – Project Execution – DGMAP (Naval Township) | NCC Ltd., - Visakhapatnam, India
Research Interests
Dr Raviteja's research is dedicated to the pursuit of sustainable solutions in geotechnical and geoenvironmental engineering. A focus is placed on enhancing system reliability and probability through innovative design approaches. A significant aspect of the work involves the utilisation of Unmanned Aerial Vehicles (UAVs) for geotechnical and geoenvironmental monitoring, leading to the revolutionisation of monitoring techniques and the acquisition of real-time, high-resolution data for improved project management. Additionally, developing eco-friendly geosynthetic-clay liners for waste containment facilities is actively engaged, utilising industrial by-products to promote environmentally conscious practices and reduce waste. To enhance waste landfill slope stability, Dr Raviteja employs probabilistic optimisation and Gaussian Mixture Models (GMM), considering uncertainties and variations in design parameters for effective risk mitigation. Furthermore, exploring the applications of Artificial Intelligence (AI) and Machine Learning (ML) to address complex challenges in the fields is pursued, aiming to se decision-making processes and predict potential hazards while enhancing overall engineering system efficiency. Integral to the research is the search for sustainable methods to improve problematic soils using industrial by-products, thereby contributing to environmental preservation and cost-effective soil improvement techniques.
Awards & Fellowships
Best Paper Award from STEM Research Society at the RAISE International Conference 2023
Best Paper Award from AMITY University on TRACE 2022 Conference
SERB-SIRE Fellowship of ₹19.23 Lakhs from SERB, DST to work as Research Fellow at University of Illinois, Chicago (2022-23)
Gold Medal from SRM University on Research Day
Selected for High Level Foreign Research Fellowship 2020 from Tsinghua University, China
Research Excellence Award 2018 from IIT Hyderabad for outstanding research performance
Research Excellence Award 2017 from IIT Hyderabad for outstanding research performance
JASSO Scholarship of ¥1,60,000 2016 from Japanese Govt. for working as Research Intern at Japan
Research Excellence Award 2016 from IIT Hyderabad for outstanding research performance
Travel Grant of ¥70,000 2016 from Ritsumeikan University for international travel
Travel Grant of ₹2,50,000 2016 from MHRD, Govt. of India to present a research paper at Geo-Chicago 2016, USA
Research Excellence Award 2015 from IIT Hyderabad for outstanding research performance
MHRD Scholarship 2014 from MHRD, Govt. for India for carrying out research work at IIT Hyderabad
Scholarship of ₹25,000 2004 from Vikas Educational Society for securing rank in a state-wide talent test
