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IEEE SMC 2020

IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS

Toronto, Canada, Oct 11-14, 2020

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Keynote Speakers

Keynote Speaker-01

Lawrence O. Hall
Co-Director – Institute for Artificial Intelligence + X
Department of Computer Science and Engineering, ENG030
University of South Florida.

SPEECH TITLE: Explorations in BIG Data and sMall Data with Deep Learning
ABSTRACT: This talk discusses how deep learning, which is briefly introduced, can be effective with very large temporal data sets for prediction of activities on social networks (GitHub, Twitter and Reddit).  On the other end of the data size spectrum it discusses how deep learning can be effective with small medical image data sets (Lung CT Images) to make predictions two years in the future.  There will be a brief discussion on new results showing deep learned models from images capture object size.

ABOUT THE SPEAKER:

LAWRENCE O. HALL is a Distinguished University Professor in the Department of Computer Science and Engineering at University of South Florida and the co-Director of the Institute for Artificial Intelligence + X. He received his Ph.D. in Computer Science from the Florida State University in 1986 and a B.S. in Applied Mathematics from the Florida Institute of Technology in 1980. He is a fellow of the IEEE. He is a fellow of the AAAS, AIMBE and IAPR. He received the Norbert Wiener award in 2012 and the Joseph Wohl award in 2017 from the IEEE SMC Society. He is a past President of the IEEE Systems, Man and Cybernetics Society, former EIC of what is now the IEEE Transactions on Cybernetics, and currently a member of the IEEE Publications, Products and Services board (PSPB), serving as Treasurer and part of a joint TAB/PSPB strategic planning committee.  His research interests lie in learning from big data, distributed machine learning, medical image understanding, bioinformatics, pattern recognition, modeling imprecision in decision making, and integrating AI into image processing. He continues to explore un and semi-supervised learning using scalable fuzzy approaches. He has authored or co-authored over 90 publications in journals, as well as many conference papers and book chapters. He has received over $6M in research funding from agencies such as the National Science Foundation, National Institutes of Health, Department of Energy, DARPA, and NASA.

Keynote Speaker-02

Nadia Magnenat Thalmann
Director of MIRALab / C.U.I.
University of Geneva, Switzerland

SPEECH TITLE: Humanoid social robots: what’s new and what’s next?
ABSTRACT: In his book on politics, Aristotle was dreaming to have statues and objects that express life and replace slaves. Later on, Leonardo da Vinci created some mechanical automatons that could move and serve people. In the 18th Century,  various automatons were produced with fantastic appearance and they were able to sing, write or bow. Last Century gave birth to the first robots guided by software. These robots were able to interact with speech and do actions. And more recently, realistic social humanoid robots can interact and recognize people and analyse emotions.
What are these companions robots? What can they do in reality? What is their future? Why are they useful for Society? Our presentation will show several case studies including  demos of  Nadine social robot.  A discussion will follow: https://en.wikipedia.org/wiki/Nadine_Social_Robot

ABOUT THE SPEAKER:

Nadia Magnenat Thalmann is the Founder and Director of MIRALab, an interdisciplinary lab in Human Computer Modelling, at the University of Geneva, Switzerland. She also serves as a Director and adjunct Professor at the Institute for Media Innovation in Singapore. Her research domains are Social Robots, Virtual Humans, Mixed Realities and Digital Human Modelling. In Singapore, she has developed the robot Nadine alike of herself that is able to speak, recognize people and gestures, express mood and emotions, and remember actions.
All over her career, she has received several artistic and scientific Awards, as for example, the 2012 Humboldt Research Award, the Eurographics Career Award,  and two Doctor Honoris Causa (from University of Hanover in Germany and from the University of Ottawa in Canada). She is Editor-in-Chief of the Visual Computer Journal published by Springer and is a Member of the Swiss Academy of Engineering Sciences (SATW).

Keynote Speaker-03

Grady Booch
IBM Fellow
Chief Scientist for Software Engineering

SPEECH TITLE: What Does It Mean to be Human?
ABSTRACT: In The Human Use of Human Beings, Norbert Wiener observed that we are now in “a special period in the history of the world”. Little did he know just how far the field of cybernetics has progressed since his time – and yet how much further we have to go. In this keynote, we will reflect back on the assumptions and expectations of cognitive systems in the age of Wiener and von Neumann, and then we’ll explore the landscape of the present. Along the way, we’ll enumerate the advances as well as the failures of the field, and then project to the future, with some observations as to the trajectory of contemporary research and its implications for the individual, for society, and for civilization.

ABOUT THE SPEAKER:

Grady Booch is Chief Scientist for Software Engineering at IBM Research where he leads IBM’s research and development for embodied cognition. Having originated the term and the practice of object-oriented design, he is best known for his work in advancing the fields of software engineering and software architecture. A co-author of the Unified Modeling Language (UML), a founding member of the Agile Alliance, and a founding member of the Hillside Group, Grady has published six books and several hundred technical articles, including an ongoing column for IEEE Software. Grady was also a trustee for the Computer History Museum. He is an IBM Fellow, an ACM and IEEE Fellow, has been awarded the Lovelace Medal and has given the Turing Lecture for the BCS, and was recently named an IEEE Computer Pioneer. He is currently developing a major trans-media documentary for public broadcast on the intersection of computing and the human experience.

IEEE SMC 2020

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