Seminar: Amir Shabani, Human-centered Intelligent Systems

Friday, March 1, 2019 12:30 pm - 12:30 pm EST

This Friday, Dr. Amir Shabani, will be presenting in the VIP Seminar Series.  All are welcome.

Date: Friday March 1

Time: 12:30pm

Location: VIP boardroom (EC4, 2nd floor boardroom)

Human-centered Intelligent Systems​

Abstract: Have you ever wondered how?

·      Artificial Intelligence could help buildings to save more on energy and reduce their carbon footprint?

·      Machine Learning could enable occupants to be in charge of controlling their environment (heating/cooling, lighting, …) to improve their comfort and productivity?

·      Computer Vision could play a role in occupants' behaviour analysis and how to address its privacy concerns?

This presentation aims to provide insights on the challenges the current industry of building automation is facing and the opportunities that the new advancement such as the Internet of Things (IoT), Artificial Intelligence (AI), and Computer Vision (CV) could bring to this industry to make buildings smarter and more socially amenable. In the context of the smart city, intelligent buildings play a significant role in saving energy and improving the comfort and productivity of the occupants; emphasizing the needs for buildings to be social: interact with occupants, share data with each other, learn from each other, and help each other. 

Biography: Dr. Amir Shabani is NSERC’s Industrial Research Chair (IRCC) in Smart Connected Buildings. His main research focus is on the applications of the Internet of Things (IoT), Artificial Intelligence (AI), and Computer Vision in Human-centered Intelligent Systems. Amir is the director of Intelligent Building Automation Systems (IBAS) lab at George Brown College, Toronto, where his research team is closely collaborating with industry leaders on research and development, unbiased assessment, and deployment of new technologies that make homes and buildings intelligent. Amir received his PhD from the University of Waterloo with the focus on Video Analytics and Machine Learning. He did his Master’s thesis on 3D computer vision using structured-light techniques. Amir's undergraduate degree was in Electronics Engineering with the main focus on digital signal processing and computer interfacing. He worked for more than 7 years with several international companies designing advanced end-to-end automation solutions towards industry 4.0. Dr. Shabani had been invited speaker at Stanford University, Queen-Mary University of London, University of Toronto, University of Ottawa, Ryerson University, IEEE Toronto, and Professional Engineers of Ontario.