Overview
Artificial Intelligence and Machine Learning are revolutionizing civil engineering. This comprehensive FDP will bridge the gap between traditional practices and emerging AI technologies, empowering you to integrate cutting-edge tools into teaching, research, and real-world problem-solving.
FACULTY_DEVELOPMENT_PROGRAMME_Brochure.pdf
Objectives of Event
- Master AI fundamentals including Machine Learning, Deep Learning, and Data Analytics specifically for civil engineering applications
- Learn AI-driven tools and techniques for structural analysis, design optimization, monitoring, and decision-making in infrastructure systems
- Bridge traditional civil engineering practices with emerging AI-based methodologies through hands-on training
- Foster interdisciplinary research by integrating AI with structural, geotechnical, transportation, environmental, and construction engineering
- Gain practical skills to incorporate AI in curriculum development and real-world engineering projects
Convener Details
- Col. Vivek Shanker Mathur, Dean SSES
- Prof. Rakesh Kumar, HOD, Civil Engineering, Sharda University
Co-ordinators:
- Dr. Tushar Bansal, Assistant Professor
- Ms. Sphurty Raman, Assistant Professor
- Dr. Utkarsh, Assistant Professor
Speaker Details:
- Dr. Nitin Tiwari, Assistant Professor, Southern Illinois University, Carbondale
- Dr. Sanjay Kumar, Scientist G, National Institute of Hydrology, Roorkee
- Dr. Anil Kumar Lohani, Scientist G, National Institute of Hydrology, Roorkee
- Dr. Ayodeji Salau, Afe Babalola University, Nigeria
- Dr. Sufyan Ghani, Engineer-Tailings, WSP India
- Dr. Ramesh Gomasa, Assistant Professor, SR University, Warangal
- Dr. Rishi Singh Chhabra, Head R&D (bitumen division), Moglix
- Mr. Ishwar Thapa, Sharda University
