March Meeting (Zoom) 3/10/21

Building Smart Cities

Wouldn't it be great to know in advance where a free parking spot is instead of circling in the neighborhood trying to find one? This is just one example of the Smart Cities concept where data is collected from sensors, analyzed, and applied to make predictions related to traffic, safety, supply chain, logistics, and more. Making this a reality comes with a set of challenges many of which are related to the cost of data.  

Our March speaker will discuss how the smart city concept works, what major technological and data challenges exist today, and what kind of technology is being developed to address some of those challenges.

Dr. Eyal Amir is co-founder CEO of Ai Incube and professor of computer science at University of Illinois Urbana-Champaign (UIUC).

He co-founded Ai Incube with the mission to deliver smart cities information for prosperity. Ai Incube received awards for their work by Gartner (2020), CDL (2020), and FIA Smart-Cities (2019), among others, and have launched in BMW cars, Deutsche Telekom applications, and many others.

Eyal's research focuses on the intersection of AI, Machine Learning, and combinatorial algorithms. He published more than 100 articles on this topic, received his best-Phd thesis award from Stanford University computer science, and was chosen by IEEE as one of the 10 to watch in AI among others. His most impactful research includes relational-probabilistic models, reasoning with large knowledge bases, and Bayesian reinforcement learning.