Solving Multi/Many Objective Problems using Evolutionary Algorithms
Prof. Dr. Sam Kwong
City University, Hong-Kong
Abstract: Nowadays, the use of Artificial intelligence to solve many real world problems is multi-objective in nature in the sense that multiple conflicting criteria need to be optimized simultaneously. As a consequence, instead of a global optimal solution in the case of single-objective optimization, usually, the optimum of multi-objective optimization corresponds to a set of so called Pareto optimal solutions for which no solutions can win in all objectives, due to the conflict between objectives. Evolutionary Multi-objective Optimization (EMO) algorithms have been widely used in practice for solving these multi-objective optimization problems for several reasons. At first, EMO approaches can tackle problems with nonlinear, non-differentiable, or noisy objective functions. Secondly, the population based search manner opens new opportunities in dealing with multi-objective optimization problems by searching for multiple alternatives simultaneously. Therefore, EMO has become one of the most active research areas in evolutionary computation. In this talk, I will first give an in–depth introduction to the EMO field and subsequently presented two of our recent developments based on Stable Matching theory and Machine learning techniques.
Prof. Sam Kwong received the B.Sc. degree from the State University of New York at Buffalo, Buffalo, NY, in 1983, the M.A.Sc. degree in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 1985, and the Ph.D. degree from the Fernuniversität Hagen, Hagen, Germany, in 1996. From 1985 to 1987, he was a Diagnostic Engineer with Control Data Canada, where he designed the diagnostic software to detect the manufacture faults of the VLSI chips in the Cyber 430 machine. He is the associate editor of the IEEE transactions on Evolutionary Computation, the Associate Editor for the IEEE Transactions on Industrial Informatics, the IEEE Transactions on Industrial Electronics, and the Journal of Information Science. Currently, he is the Head and Professor of the department of Computer Science, City University of Hong Kong.
In 1996, he was responsible for the software design of the first handheld GSM mobile phone consultancy project, one of the largest consultancy projects at the City University of Hong Kong. He has coauthored three research books, eight book chapters, and over 300 technical papers. His book entitled “Genetic Algorithm for Control and Signal Processing” published by Springer London, featuring pioneer work in applying evolutionary algorithm as an optimization tool for many industrial applications such as network intrusion systems, self‐healing multicast network, speech recognition and video coding, was a bestseller in 1997. In addition, his prolific research publication record reaches over 150 top ranked journal papers mostly in IEEE journals. His works have been cited over 13,000 times according to Google Scholar and his h‐index is 49. He also won the Best paper award for his work on Multiobjective Optimization of Radio‐to‐fiber repeaters placement using a Jumping gene algorithm on ICIT2005 as well as the Best Paper presentation award on IECON2004. Currently, he is the Associate Editor for many IEEE Transactions and journals. Kwong was the IEEE SMC Hong Kong local chapter treasurer, secretary and later become the chairman of the Hong Kong chapter. He is now the current VP of cybernetics of IEEE Systems, Man and Cybenenetics, his role is to ensure that IEEE SMCS to become the leading Society in the area of cybernetics.
Can Artificial Intelligence help us to design security solutions based on our physiological signals?
Dr. Pedro Peris-Lopez
Carlos III University. Madrid, Spain
Abstract: Recently, the e-health sector has undergone a major transformation because of cyber-security issue. Population is more concern about their habits and health and have access to detailed information thanks to the wide variety of low-cost sensors or medical devices that monitor our vital signals and daily activities. The benefits associated with the continuous monitoring of our vital signals for medical or performance purposes are obvious. In vein with this, in the last years researchers have studied how our physiological signals can also be used for cyber-security issues. Artificial intelligence (AI) techniques are usually used for the design of these novel systems. Identification through compressed cardiac signals or continuous authentication considering electrocardiograms (ECG) as data streams are two representative examples of the problems addressed in this talk.
Dr. Pedro Peris-Lopez is Professor in the Department of Computer Science, at the Carlos III University in Madrid. He has a M.Sc. in Telecommunications Engineering (2004) and a Ph.D. in Computer Science (2008). His research interests are in the fields of applied cryptography, computer forensics, signal processing, and artificial intelligence. He has published many articles in International Journals (42) with impact factor, and papers at international conferences of recognized prestige (41). His works have a high impact: the whole of his works have more than 3400 cites and his h-index is 27 (08/2018 – Google Scholar).
Changing Industry Landscape with new Technologies, including Blockchain
Global Markets, Enterprise – IBM
Abstract: A deep look at how industry is changing with the use of Blockchain and other technologies will be presented. Additionally, the potential benefits and future direction of these changes will be discussed with several use cases of Blockchain technology. Furthermore, the conditions under which BlockChain solutions transform industries will also be presented and discussed.
Mr. Iqbal AliKhan is the Program Director, Blockchain & Innovations for Global Markets, Enterprise at IBM. He moved over to management consulting and has built an intuitive understanding of the intersection of business and technology. Iqbal has applied cognitive analytics, Watson (artificial intelligence & machine learning), mobile, big data and Blockchain to accelerate go-to market strategies and operationalize new business models. He has built a history of facilitating enterprise responses to industry disruptions, focused on organizational growth; revenue enhancement and introducing innovations. Iqbal works at the cusp of innovation adoption by banks, governments, central banks and commercial organizations, as part of their digitization strategies.