Prof. Mohammad Dehghani
Venue: TII Yas Auditorium
28th August, 2024, 2:00pm - 3:00 PM (GST)
| Title: | TwinAI: Empowering Digital Twins with AI |
| Affiliation: | Northeastern University, USA |
| Abstract: | Artificial Intelligence (AI) is rapidly transforming industries by enabling smarter, more efficient operations. When combined with Digital Twins—precise virtual models that simulate real-world systems—this integration, known as TwinAI, holds immense potential. TwinAI leverages the strengths of both technologies to optimize processes, predict outcomes, and create intelligent, self-learning systems. This powerful synergy can greatly enhance industrial processes and decision-making. In this talk, I will explore various levels of TwinAI utilization, showcasing practical applications and use cases for businesses and decision-makers. The focus will be on process optimization using AI-powered optimizers, accurate predictions through neural networks in discrete event simulations, and the application of reinforcement learning (RL) to develop adaptive, self-learning systems in production environments. |
| Bio: | Mohammad Dehghani is an Associate Teaching Professor of Mechanical and Industrial Engineering at Northeastern University in Boston, MA, USA. His research focuses on developing AI-enabled Digital Twin models through the creation of APIs and advanced machine learning algorithms to drive innovation in various industries. In collaboration with his students at the TwinAI Lab and colleagues, he has published numerous works in the field of intelligent simulation modeling. His AI-enabled Digital Twin research has been featured in various scholarly journals, presented at conferences, and adopted by industry. His work has also earned him awards and recognition, with pending patents in the field of digital twin and AI-enabled models. |