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MACC Meeting and Workshop 2017

MACC Meeting 2017


Meeting & Workshop Program 2017
Student Research Summaries and Posters 2017
2017 MACC Brochure

McMaster University Research Presentations (Tue May 16)


8:30a Chris Swartz - McMaster University, Welcome and News
9:00a Chris Swartz - McMaster University, Annual Research Review
9:30a Prashant Mhaskar - McMaster University, Annual Research Review
10:30a Thomas A. Adams II - McMaster University, Annual Research Review
11:00a Kamil Khan - McMaster University, Annual Research Review
11:30a Vladimir Mahalec - McMaster University, Annual Research Review
12:30p Poster Session (Presented by McMaster Grad Students)
2:30p Lingyan Deng - McMaster University, Off-gas Utilization Options and Processes Optimization
2:50p Pulkit Mathur - McMaster University, Graduate Research Presentation
3:10p Abhinav Garg - McMaster University, Graduate Research Presentation

Workshop Presentations (Wed May 17)


8:30a Mike Dudzic - ArcelorMittal Dofasco, Primer on Industry 4.0 (from a Manufacturing Perspective)
9:30a Sirish Shah - University of Alberta, Will self-driving cars ever lead to self-operating processes?
11:00a Dariusz Piotrowski - IBM, Are we ready for Augmented Intelligence? Lessons learned from the oil & gas industry
1:00p Hong Zhao - AspenTech, Innovation and Automation of Knowledge is making Asset Optimization a Reality
2:00p Jesus Flores-Cerrillo - Praxair Inc.,Smart Manufacturing and Big Data in Praxair
3:30p John MacGregor - ProSensus, Empirical Models for BIG Data – What’s the Difference?

Workshop Presentations (Thu May 18)


8:30a Paul McNicholas - McMaster University, Looking for Groups in Big Data
9:30a Giles Laurier - Capstone Technology, Applying Multivariate Data Analytics in Real-time
11:00a Marlene Cardin - ProSensus, Vision Systems: Gaining Process Improvement using Big Data from Images
1:00p Vlad Mahalec - McMaster University, Modelling and optimization with big data / limited data
1:30p Thomas A. Adams II - McMaster University, Life Cycle Analysis and Sustainability: The way forward in the era of Big Data
2:00p Discussion & Summary - Challenges and Research Opportunities