92% Booked
Registration Closed
This 3-day workshop explores urban metabolism modeling with AI, focusing on how megacities consume and circulate resources like energy, water, and waste. Participants will learn to source and process urban data, build AI models for forecasting and anomaly detection, and create interactive dashboards for simulation and policy support. The program blends theory with hands-on practice, equipping attendees with tools to design smarter, more sustainable urban systems.
To enable participants to apply AI-driven modeling and simulation for tracking and optimizing urban resource flows (energy, water, waste) in megacities, fostering smarter decision-making, sustainable planning, and effective policy support.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
This workshop is designed for:
Students, researchers, and professionals in urban planning, AI/ML, sustainability, and environmental studies.
Policy makers, city planners, and engineers working on smart cities and resource management.
Anyone interested in applying AI for sustainable urban systems and future-ready city design
09/15/2025
Indian Standard Timing 4 PM
09/15/2025 to 09/17/2025
Indian Standard Timing 5:30 PM
By the end of this workshop, participants will be able to:
Understand the principles of urban metabolism and resource flow mapping.
Source, preprocess, and analyze urban datasets from IoT, satellite, and city dashboards.
Apply AI and machine learning to forecast energy and water demand and detect anomalies.
Use simulation and digital twin approaches for smart city resource planning.
Create interactive dashboards and visualizations for policy and decision support.
Design a prototype AI-based urban metabolism tracker for sustainable urban management.
INR. 5999
USD. 95
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
Digital Twins: Predictive …
AI, Biopolymers, and Smart …
AI-Powered Drug Discovery with …
Machine Learning Approaches …
none
Instant Access
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.