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Allie McFadden
Communications Officer
allie.mcfadden@cc.gatech.edu
Summary Sentence: Siemens will be on campus to present a machine learning seminar.
Full Summary: No summary paragraph submitted.
Livio Dalloro heads the Product Modeling and Simulation research group at Siemens Corporate Technology.The Machine Learning Center at Georgia Tech presents a seminar by Siemens. The event will be held in the Marcus Nanotechnology Building, Rooms 1116-1118, from 12:15-1:15 p.m. and is open to the public.
Abstract
TBA
Bio
Livio Dalloro heads the Product Modeling and Simulation research group at Siemens Corporate Technology and is located in Princeton, New Jersey, USA.
Born and raised in Milano, Italy, he began his career with Siemens developing software for large building automation systems before moving to the company’s research facility in Princeton, New Jersey USA. While there, he built a new team focused on the discovery and creation of the next generation cognitive algorithms for design, simulation and manufacturing.
Livio has eight granted patents including residential-level EV charging and pipelining for cyclic control systems, among others. A recipient of two simultaneous DARPA grants and of several Siemens’ strategic innovation projects for the Digital Twin, he now runs the largest and fastest growing Siemens research team in the U.S. He is also an R&D Council Edison Patent Award in the energy category for a novel solution using a collaborative energy management strategy that includes a distributed system to manage the residential-level power distribution grid in a collaborative way for E-car charging stations. In addition, he was the Siemens representative member for the Technical Advisory Committee of the Commonwealth Center for Advanced Manufacturing in Richmond, VA.
Passionate about his roots, he can't say no to a good 'carbonara pasta', which he enjoys cooking to perfection for his friends and family. In his free time, Livio enjoys running and spending time with his son and wife at his vacation home in Italy.
Register Here by Friday, November 16th
