Engineering of Additive Manufacturing Features for Data-Driven Solutions / SpringerBriefs in Applied Sciences and Technology (PDF)

Technologies research center at NRC, his mot recent work focused on inline monitoring of manufacturing processes.







Padma Polash Paul is an esteemed machine learning researcher, published author, former professor and entrepreneur. As the Co-CEO and CTO of Braintoy, Canada's first machine learning platform, he is dedicated to helping organizations build and deploy their own machine learning solutions to enhance business performance. Originally from Bangladesh, Paul has a Masters Degree in computer Science from the University of Hong Kong and a PhD in computer science from the University of Calgary. He completed his Postdoctoral Fellowship at the University of Oxford in computational neuroscience and continues to be actively involved in neural implant. Paul has published in excess of 80 research papers, 50 of those while attaining his PhD. Paul was the Principal Machine Learning Architect at the Calgary headquarters of GE, which later became Baker Hughes, between 2016-2019. In addition to his role as co-CEO and Chief Technology Officer with Braintoy, Padma is a course curriculum designer for the Applied AI and ML bootcamp at the Southern Alberta Institute of Technology (SAIT) and Mount Royal University.







Gentry Wood is a Senior Research and Development Engineer for Apollo-Clad Laser Cladding, a division of Apollo Machine & Welding Ltd. in Leduc, Alberta, Canada. Gentry completed his undergraduate degree in Materials Engineering in 2012 from the University of Alberta and a PhD in 2017 from the Canadian Centre for Welding and Joining. His work has focused on modelling the geometry of laser-welding based overlays, optimizing process efficiency, and maximizing performance of corrosion and wear resistant coatings for a variety of applications. He has led Apollo-Clad efforts to pivot from laser coatings towards industrial-scale, directed energy deposition based additive manufacturing of metallic components. In 2022, Gentry was inducted as a fellow of the Canadian Welding Bureau Association (CWBA).







Yaoyao Fiona Zhao is an Associate Professor and William Dawson Scholar at the Department of Mechanical Engineering in McGill University, in Montreal, Canada. She is the director of the Additive Design and Manufacturing Laboratory (ADML) in McGill University which is one of the leading research laboratories in additive manufacturing field. She has expertise in Design for Additive Manufacturing (DfAM), digital manufacturing, sustainable manufacturing, artificial intelligence, and machine learning. Her team has successfully conducted projects on a number of ML applications to assist manufacturability prediction, predictive analysis of product performance, microstructure simulation, hybrid energy system modeling, cutting tool life prediction. Her team is leading the research in DfAM with the development of new design methods to achieve multi-functionalities, less part count, better functional and sustainability performance. Her team is also leading the efforts on developing methods and guidelines for manufacturing industry to adopt machine learning and AI as an effective tool for global competition.