Women in control – zoom link
Date: Monday 24 August 2020, 12.00 – 13.30 Montreal time.
Speaker: Dr. Shawn Andrews
Title: The Power of Perception: Leadership, Emotional Intelligence, and Gender
Abstract: Organizations that want to perform at the highest levels and be competitive in their industry must effectively leverage their leadership talent. Yet, in nearly all companies, a leadership gender gap persists. In addition, research has identified an individual’s emotional intelligence (EQ) as a key aspect and driver of leadership effectiveness. EQ assessment has found men and women to be strong in different areas. These differences often advantage men and disadvantage women at work and can lead to very different outcomes. Finally, men and women are raised in different cultures. It begins at birth and carries into the workplace as adults. As a result, we approach virtually every aspect of business differently. Different approaches result in different perceptions, which have a significant impact on promotion. These topics are based on Dr. Andrews’ research and best-selling book titled, “The Power of Perception: Leadership, Emotional Intelligence, and the Gender Divide” (2018 Morgan James Publishing). Practical strategies for career advancement will be provided, as well as approaches to building a more diverse & inclusive workforce. During this interactive presentation, you will learn how to:
▪ Examine barriers that contribute to the leadership gender gap
▪ Identify emotional intelligence attributes and their impact on leadership
▪ Leverage gender culture differences (hard-wired and socialized) which show up every day at work and home
▪ Apply knowledge and tactics to improve career advancement
Biography: Dr. Shawn Andrews is a keynote speaker, organizational consultant, business school professor, and author of the best-selling book, The Power of Perception: Leadership, Emotional Intelligence, and the Gender Divide (2018 Morgan James Publishing). She is a Forbes contributor, quoted in the Chicago Tribune, interviewed on dozens of podcasts and radio shows, including NPR, and is a Women’s Media Center SheSource expert. Shawn speaks and consults to a diverse range of clients, including SABMiller Brewing Company, Broadcom, Vizio, Johnson and Johnson, Biogen, Bristol-Myers Squibb, Rust-Oleum, Experian, National Diversity Council, Association for Talent Development, and Society for Human Resource Management. With over two decades of corporate experience in the biopharmaceutical industry, she has helped thousands of leaders improve and develop using presentations, workshops, coaching, and psychological instruments. She is an accredited practitioner for EQ-i 2.0 and EQ 360 model and Insights Discovery Colors. She serves as a professor at both UC Irvine Paul Merage School of Business and Pepperdine Graziadio Business School, teaching courses on Women and Leadership, Organizational Behavior, Diversity in Organizations, and Leadership and Ethics. Her specific areas of focus include Organizational Leadership, Learning & Development, Talent Management, Diversity & Inclusion, and Unconscious Bias. Shawn earned her Ed.D. degree in Organizational Leadership from Pepperdine University, an M.B.A. degree from Pepperdine University, and a B.A. degree in Psychology from the University of California, Irvine. She serves as Board President, Healthcare Businesswomen’s Association, Orange County, is a member of 2020 Women on Boards Leadership Committee and is the founder and CEO of Andrews Research International.
IEEE Young Professionals – zoom link
Date: Tuesday, August 25th, 12:00 – 13:00 EST (Montreal Time)
Title: Interactive Machine Learning in Control with Azure ML and Kaggle platform Application
Speaker: Dr. S.L. Brunton, University of Washington, USA
Speaker: Dr. R. Lakshmana Kumar, Hindusthan College of Engineering and Technology, Coimbatore, India
Abstract: The fields of machine learning and control theory are rapidly converging, enabling data-driven control design for previously intractable problems. Many tasks in control theory may be posed as optimization problems constrained by dynamics, and this perspective fits naturally with the view that machine learning is a growing set of data-driven optimization and applied regression techniques to build models from data. Thus, machine learning may aid in the design of models and controllers for high-dimensional, nonlinear systems with non-convex optimization landscapes. In this session, we will begin with a brief overview of the fundamentals of ML and the various ways in which ML intersects with control theory. Then, in a hands-on session, Microsoft Azure Machine Learning (Azure ML) will be used along with the Kaggle platform, so participants can learn how ML can be applied to engineering problems, including dynamics and control. This session will enable the audience to leverage their existing data processing and model development skills, and help them scale their workloads to the cloud. To better communicate event details, please preregister here.
Biography: Dr. Steven L. Brunton is an Associate Professor of Mechanical Engineering at the University of Washington. He is also an Adjunct Associate Professor of Applied Mathematics and a Data Science Fellow at the eScience Institute. Steve received a B.S. in mathematics from Caltech in 2006 and the Ph.D. in mechanical and aerospace engineering from Princeton in 2012. His research combines machine learning with dynamical systems to model and control systems in fluid dynamics, locomotion, optics, energy systems, and manufacturing. He is a co-author of three textbooks, received the Army and Air Force Young Investigator Program awards, the Presidential Early Career Award for Scientists and Engineers (PECASE), and he was awarded the University of Washington College of Engineering junior faculty and teaching awards.
Biography: Dr. R. Lakshmana Kumar is currently associated with Hindusthan College of Engineering and Technology, Coimbatore. Tamil Nadu. He is a Chief Research Scientist in a Canadian based company (ASIQC) in the Vancouver region of British Columbia, Canada. He holds the certification in Data Science from John Hopkins University, United States. He also holds the Amazon Cloud Architect certification from Amazon Web Services. He is the Founding Member of IEEE SIG of Big Data for Cyber Security and Privacy, IEEE. He serves as a core member of the Editorial Advisory Board of Artificial Intelligence group in Cambridge Scholars Publishing, UK.
Award Ceremony – zoom link
Date: Wednesday, August 26th, 12:00 – 13:00 EST (Montreal Time)
Virtual Closing Ceremony (with live music) – zoom link
Date: Wednesday, August 26th, 18:15 – 19:15 EST (Montreal Time)