Tuesday, November 30, 2021 — 1:00 PM to 4:00 PM EST

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An interactive and informative online event, enabling Industry to get more acquainted with various AI success stories across multi-sectors of the economy. 

Date: Tuesday, November 30th, 2021

Time: 1:00PM – 4:00
 

Schedule:

1:00 PM  Welcome Message
 

1:15 PM  Samir Elhedhli, Professor - Topic: Enhancing supply chain efficiency with AI:pressing needs and impactful training
 

1:45 PM  Fatma Gzara, Professor - Topic: Supply chain analytics for improved decisions
 

2:15 PM  Mehrdad Pirnia, Professor & Dr. Kourosh Malek - Topic: Machine learning for fresh produce logistics
 

3:00 PM  Keynote: Debasis Bhaumik, Vice President of Information Technology - Nutrien
 

3:45 PM  Closing Remarks
 


Industry Day Presenters:

Bio: Samir Elhedhli is a Professor at the Department of Management Sciences at the University of Waterloo with research interests in in Large Scale Optimization and Data Analytics. His work has appeared in top scientific journals such as Management Science, Mathematical Programming, Manufacturing and Service Operations Management, INFORMS Journal on Computing, IISE transactions, and the European Journal of Operational Research among others. He held research grants from NSERC, CFI, OCE and MITACS and collaborated with industries in aircraft manufacturing, airline scheduling, and supply chain analytics. He was Chair of the Department of Management Sciences from 2014 to 2018. 

 

 

Bio: Fatma Gzara is an Associate Professor with the Department of Management Sciences at the University of Waterloo. Her research interests lie in the areas of optimization, network models, supply chain management, transportation risk and logistics. Currently, she uses bi-level mathematical modelling to determine the routes that trucks carrying hazardous materials will be most likely to take. Professor Gzara gathers real data and uses it to keep residential and industrial areas safe. In the last few years, she has written articles for journals such as Operations Research Letters, Telecommunication Systems, and the European Journal of Operational Research.

 

 

Bio: Mehrdad is an experienced researcher and educator with a demonstrated history of working in higher education and industry. He is skilled in applying optimization and data-driven techniques in energy systems to provide reliable, clean and affordable energy. Mehrdad works extensively in the field of power flow within a power grid.  Using algorithmic systems, he determines the optimal allocation of power throughout a grid, to maximize value per cost, as well as promote social equity through electrical power distribution.  This work has earned him NSERC funding on three separate occasions within the last two years.


 

 

Bio: Dr. Kourosh Malek is currently a division head in AI and data analytics at Forschungszentrum Jülich GmbH, Germany. With a primary focus on practical data models and analytics at the interface of IoT-AI-big data, his current research is focused on development and deployment of scalable, data-driven, and AI-powered algorithms. Prior to joining Forschungszentrum Jülich, he has been a program technical lead and senior research officer with NRC and an adjunct professor at SFU. He holds PhD and MBA, specialized in the management of technology. Dr. Malek has extensive industry RD&D, technology management and product development experience and has led development and commercialization of several enterprise-grade software platforms within energy, clean transportation and supply chain logistic verticals.



 
 
 

Bio: Debasis Bhaumik, more often known as DB, is an entrepreneurial leader who has worked with and for many global Fortune 100 organizations across Asia-Pacific, Europe and North America. He started his career as a technology entrepreneur in India and moved up through the ranks in North America. He is a well-respected senior leader in the digital transformation space.

 

 

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