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Keynote Speakers

 


 

 

Prof. Dr. Thuong Le-Tien

Department of Electrical Electronics Engineering, Hochiminh CIty University of Technology, Vietnam

 

Thuong Le-Tien (IEEEM’96) is a full Professor at the HoChiMinh City University of Technology (HCMUT). He received the Bachelor’s and Master’s Degrees in Electronics Engineering from the HCMUT, and the Ph.D.Degree in Electronics-Telecommunications from the University of Tasmania, UTAS, Australia.

 

 Professor Le-Tien has been a Faculty Member with the Electrical Electronics Engineering Faculty, HCMUT since 1981 todate. He was a Visiting Scholar with the Ruhr University Bochum, Germany, from 1989 to 1992. He has been the Associate Researcher at the UTAS from 2000 until 2006, thenVisiting Professor for teaching, seminars, research collaboration at MannheimUniversity of Applied Science (since 2009), University Paris-13 (since 2001) todate. He served as the Deputy Department, Head for many years then Telecommunications Department Head from1998-2002. He was also appointed as theDirector of the Center for Overseas Studies at the HCMUT from 1998 until 2009. He has authored over 160 research articlesand many teaching textbooks for university students related to Electronics 1& 2, Antenna and Wave Propagation, Digital Signal Processing and Wavelets,and Communication Systems. His currentresearches interest including to Image & Biomedical Signal Processing, Digital Communication Systems and Electronics Circuits.

 

Professor Le-Tien has honored the title as a National Distinguished Lecturer and various Certificatesfor his Engineering Education Contribution from the Academic State Council , the chairman of National and the President of the National University of HoChiMinh City. He was also listed in theWho‘s Who In The World– Millennium 2000, Marquis, USA.

 

Speech Title: A Combined solution of Multiresolution-based Approach and Zernike Moments Analysis for Passive Detecting Digital Image Forgeries

 

Abstract: Image forgery detection techniques have been attracted the attention of scientists in computer vision, digital image processing, biomedical technology, investigation, forensics, etc… since many years. With popular and variant technologies and powerful software tools applied to fake images, it is difficult to confirm if the image is original or not by naked eyes. Upon the survey on IEEE and Elsevier, the number of research publications on image forgery detection from 2000 increases regularly to 2015 and in the following years.
An image can be faked by changing any characteristics including brightness, darkness or image parameters, hiding information, or copy-move other objects. In general, there are two significant techniques namely the active and passive techniques for image forgery detection. With the active technique, the approach is mostly related to the task how to protect or completely detect the watermarking and digital signatures as security codes inserted into original images. The passive technique in which the detection is done in tested images without any prior information.
An effective counter measure for image forgery detection has been thriving throughout the recent years. One of the effective approaches is the Zernike moments and it has been proved to be superiority in the analysis of invariant points of digital images. However, the significant drawback of the Zernike based algorithm is the running time. Realizing the possibility to improve the method for identifying tampered images by using the Zernike moment in order to take advantages of all the features of the algorithm, the Wavelet transform is implemented for further analysis and making a better running time of the processing. After the Wavelet transform processed, fixed-size overlapping blocks are used to store the information of the image as vectors then the Zernike moments are calculated for each vector then the results are used to compare and detect the similarities of identical regions. The evaluation for the theory and effectiveness of the combination of the wavelet-based analysis and the Zernike moment is proved successfully with the approach.
 

 

 

 

Prof. Meng Joo Er

Nanyang Technological University, Singapore

 

Professor Er Meng Joo is currently a Full Professor in Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He served as the Founding Director of Renaissance Engineering Programme and an elected member of the NTU Advisory Board from 2009 to 2012. Furthermore, he served as a member of the NTU Senate Steering Committee from 2010 to 2012.

He has authored five books entitled “Dynamic Fuzzy Neural Networks: Architectures, Algorithms and Applications” and “Engineering Mathematics with Real-World Applications” published by McGraw Hill in 2003 and 2005 respectively, and “Theory and Novel Applications of Machine Learning” published by In-Tech in 2009, “New Trends in Technology: Control, Management, Computational Intelligence and Network Systems” and “New Trends in Technology: Devices, Computer, Communication and Industrial Systems”, both published by SCIYO, 18 book chapters and more than 500 refereed journal and conference papers in his research areas of interest.

Professor Er was bestowed the Web of Science Top 1 % Best Cited Paper and the Elsevier Top 20 Best Cited Paper Award in 2007 and 2008 respectively. In recognition of the significant and impactful contributions to Singapore’s development by his research projects, Professor Er won the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award twice (2011 and 2015). He is also the only dual winner in Singapore IES Prestigious Publication Award in Application (1996) and IES Prestigious Publication Award in Theory (2001). Under his leadership, the NTU Team emerged first runner-up in the Freescale Technology Forum Design Challenge 2008. He received the Teacher of the Year Award for the School of EEE in 1999, School of EEE Year 2 Teaching Excellence Award in 2008, the Most Zealous Professor of the Year Award in 2009 and the Outstanding Mentor Award in 2014. He also received the Best Session Presentation Award at the World Congress on Computational Intelligence in 2006 and the Best Presentation Award at the International Symposium on Extreme Learning Machine 2012. On top of this, he has more than 50 awards received at international and local competitions.

Currently, Professor Er serves as the Editor-in-Chief of Transactions on Machine Learning and Artificial Intelligence and the International Journal of Electrical and Electronic Engineering and Telecommunications. He also serves an Area Editor of International Journal of Intelligent Systems Science and an Associate Editor of 14 refereed international journals, namely IEEE Transaction on Cybernetics, Information Sciences, Neurocomputing, Asian Journal of Control, International Journal of Fuzzy Systems, ETRI Journal, International Journal of Humanoid Robots, International Journal of Modelling, Simulation and Scientific Computing, International Journal of Applied Computational Intelligence and Soft Computing, International Journal of Business Intelligence and Data Mining, International Journal of Fuzzy and Uncertain Systems, International Journal of Automation and Smart Technology, International Journal of Intelligent Information Processing and an editorial board member of the Open Automation and Control Systems Journal and the EE Times.

Professor Er has been invited to deliver more than 60 keynote speeches and invited talks overseas. He has also been active in professional bodies. He has served as Chairman of IEEE Computational Intelligence Society (CIS) Singapore Chapter (2009 to 2011) and Chairman of IES Electrical and Electronic Engineering Technical Committee (EEETC) (2004 to 2006 and 2008 to 2012). Under his leadership, the IEEE CIS Singapore Chapter won the CIS Outstanding Chapter Award 2012 (The Singapore Chapter is the first chapter in Asia to win the award). In recognition of his outstanding contributions to professional bodies, he was bestowed the IEEE Outstanding Volunteer Award (Singapore Section) and the IES Silver Medal in 2011. Due to his outstanding contributions in education, research, administration and professional services, he is listed in Who’s Who in Engineering, Singapore, Edition 2013. 

 

Speech Title: Cognitive Robotics: Recent Developments and Futuristic Trends

 

Abstract: The quest for building human-like intelligence has gained enormous momentum in recent decades. Since the seminal works on Artificial Intelligence (AI), the desire of realizing the quest has become stronger. With the rapid developments in Science, Engineering and Technology, machines that mimic human intelligence have become a reality and sometimes indispensable parts in our daily life, such as Apple Siri and Google Voice. Cognition is a group of mental processes that include attention, memory, producing and understanding language, solving problems and making decisions and making decisions. Cognitive robotics is concerned with endowing robots with intelligent behavior by providing a processing architecture that will allow it to learn and reason about how to behave in response to complex goals in a complex world. In this talk, recent developments of cognitive robotics with applications in the healthcare industry, domestic services, marine vehicles etc will be reviewed. The futuristic trends and challenges will also be discussed.

 

 

 

 

Assoc. Prof. Dr. Nguyen Chi Ngon

College of Engineering Technology, Can Tho University, Vietnam

 

Dr. Nguyen Chi Ngon received his B.Sc. and M.Sc. degrees in E.E. from Can Tho University and National University, Ho Chi Minh City University of Technology, in 1996 and 2001, respectively. The degree of Ph.D. was awarded by the University of Rostock, Germany, in 2007.


Since 1996, he has worked at the Can Tho University. Currently, he is an associate professor in Automation at the Department of Automation Technology. And he is also working as the position of Dean of the College of Engineering Technology at the Can Tho University (http://cet.ctu.edu.vn).


His research interests are intelligent control, medical control, pattern recognition, classifications, speech recognition and computer vision.

 

Speech Title: Leading the Industry 4.0 - Opportunities and Challenges of the Mekong Delta

 

Abstract: According to the General Statistics Office of Vietnam, the productivity of Vietnamese workers in 2016 is only 7% of Singapore and lower than Laos’. This proves that Vietnam has too many manual and low-tech works. Meanwhile, according to the study of the period 2014-2017 of the World Bank, Vietnamese enterprises invest in R & D is at one of lowest levels in Southeast Asia. Therefore, at the instruction No. 16/CT-TTg dated May 4th, 2017, the Government aims to strengthen the capacities to approach the Industry 4.0. However, Vietnam has been entering this revolution with too many challenges, latent risk of further and further lags. Can Tho City, located in the center of the Mekong Delta, has been identified as a regional development force, but the technology is at moderate level. This talk wants to point out some opportunities and challenges for the Mekong Delta when leading to the Industry 4.0, aiming to call for help from the scientific community.

Some opportunities: (i) it is a great chance to fundamentally change the socio-economic situation of the region, while the people and enterprises are gradually aware of applying of technology in production and services; (ii) the Industry 4.0 is based on the digital platforms and existing internet, while the percentage of Vietnamese using the internet is quite high, reaching 53% of the population (We are social, 2016); and (iii) the higher education institutions in the Mekong Delta adapt quickly to this change, which is the basic condition for the training of high-tech human resources to meet the requirements.

Some challenges: (i) the awareness on Industry 4.0 is not really clear and consistent, causing misunderstanding from many different classes. While specific policies have not been initiated, therefore estimating of investment is difficult; (ii) the linkages between research – management and transfer – application are discrete; (iii) more than 90% of enterprises in the Mekong Delta are medium, small and super small. Therefore, it is difficult for a big change in production methods and habits which requires large investment; (iv) human resources for Industry 4.0 are not ready, while there are no pioneering enterprises; (v) Mekong Delta is leading to the Industry 4.0 based on the level of productivity forces of 3.0 or even 2.0; and (vi) the ITC infrastructure is mostly concentrated mainly in urban areas.