Keynote Speakers

Fernando Koch

Fernando Koch

IBM Global Services

Dr. Fernando Koch is Senior Leader Technical Solutions with IBM Global Services, and Honorary Research Fellow, Department of Computing and Information Systems, The University of Melbourne. He is a former Director of Research with Samsung Research Institute, Visiting Professor at Korea University and Research Leader with IBM Research. He has been awarded the Eisenhower Fellowship 2016, Australian Endeavour Executive Fellowship 2015, and CNPq Productivity in Technology and Innovation in 2016. He coordinated numerous research projects around computational intelligence, human-centered IoT, human-computer interface, social computing, informatics in education, security and others. Dr. Koch received the Ph.D in Computer Sciences from the Utrecht University, back in 2009, where he also participated in the PostDoc program in 2010. He has published 4 books, more than 60 papers and holds over 30 patents in areas like Computational Intelligence, Digital Education, Mobile Computing, Distributed Computing, and Computational Social Sciences.

Keynote Title: Disruptive Technologies and the Future of Society

Abstract: The new generation of technology development -- including Computational intelligence, Cognitive Computing, Internet of Things, Social Computing and Virtual Reality, and others – will disrupt the economic and social model of every human endeavor. Advances in these domains are inevitable, irreversible, and their impact is immeasurable. The questions are: how to promote strategies to embrace, commercialize, and monetize these new technologies? How to prepare business and society to this new technology revolution? And, how to position current business to be part of this evolution reaping the benefits of disruptive technologies?

Chuck Easttom

Nasseh Tabrizi

East Carolina University

Tabrizi received his B.S. degree in Computer Science from Manchester University, UK. He then completed his M.S. and Ph.D. from Automatic Control and Systems Engineering Department, Sheffield University, UK. Tabrizi worked in Manchester University for two years prior to his appointment at East Carolina University in 1984. He is the Graduate Program Director of Computer Science and founder and director of Software Engineering graduate program at East Carolina University. His research interests are in the areas of Virtual Reality, Modeling and Simulation, Computer Vision, Signal and Image Processing, Software Engineering, Internet and Multimedia, Assistive Technologies, and Computer Science Education. Tabrizi and his research team have prototyped different project in his Technology Innovation lab including Archival Data Extraction and Assessment (ADEAP) system, Electronic Medical Records Management, An Agent and Virtual Reality-based Course Delivery System, RFID based Learning Assessment System, and Virtual Reality based Home Inspection and Training System. Tabrizi has participated on several major grants. His research team is involved in creation of innovative technologies including the recent one on Brain-Computer Interfaces for Communicating with Individuals with Severe/Profound Intellectual Disabilities. Tabrizi publications include diverse areas of research in computer science, technology, and software engineering. He was named ECU’s scholar teacher in 2000 and has received best paper award.

Marina L. Gavrilova

Marina L. Gavrilova

University of Calgary, Canada

Prof. Gavrilova holds Full Professor with Tenure appointment at the Department of Computer Science, University of Calgary, Canada. Prof. Gavrilova research interests lie in the areas of machine intelligence, biometric recognition, image processing and GIS. Prof. Gavrilova publication list includes over 300 journal and conference papers, edited special issues, books and book chapters, including World Scientific Bestseller of the Month (2007) – “Image Pattern Recognition: Synthesis and Analysis in Biometric,” Springer book (2009) “Computational Intelligence: A Geometry-Based Approach” and IGI book (2013) “Multimodal Biometrics and Intelligent Image Processing for Security Systems”. She has received support from CFI, NSERC, GEOIDE, MITACS, PIMS, Alberta Ingenuity, NATO and other funding agencies. She is an Editor-in-Chief of Transactions on Computational Sciences Springer Verlag Journal series and on Editorial board of seven journals. Prof. Gavrilova received numerous awards and her research was profiled in newspaper and TV interviews, most recently being chosen together with other five outstanding Canadian scientists to be featured in National Museum of Civilization, National Film Canada production, and on Discovery Channel Canada.

Keynote Title: A New Frontier: Deep Machine Learning for Biometric Privacy and Security

Abstract: Current scientific discourse identifies human identity recognition as one of the crucial tasks performed by government, social services, consumer, financial and health institutions worldwide. Biometric image and signal processing is increasingly used in a variety of applications to mitigate vulnerabilities, to predict risks, and to allow for rich and more intelligent data analytics. But there is an inherent conflict between enforcing stronger security and ensuring privacy rights protection. This keynote lecture looks at the new horizons that are currently being explored through integration of deep learning techniques with computer vision and biometric security research. It discusses how multi-modal biometric systems can benefit from the integration of advanced machine learning methods based on both supervised (SVM, KNN, DTrees) and deep learning (NN, CNN, SNN) approaches for image and signal processing. It also describes the developed prototype systems that can extracts and analyze not only traditional, but also emerging social behavioral patterns, such as spatial, temporal, contextual, linguistic, relational and even aesthetic data. Finally, it touches on challenges that uncontrolled data mining and sharing present to privacy and suggests some ways to mitigate them.