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

  1. Master AI fundamentals including Machine Learning, Deep Learning, and Data Analytics specifically for civil engineering applications
  2. Learn AI-driven tools and techniques for structural analysis, design optimization, monitoring, and decision-making in infrastructure systems
  3. Bridge traditional civil engineering practices with emerging AI-based methodologies through hands-on training
  4. Foster interdisciplinary research by integrating AI with structural, geotechnical, transportation, environmental, and construction engineering
  5. 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