Collect from 网站模板


Speakers of 2019






Prof. Chin-Chen Chang

IEEE Fellow, Feng Chia University,Taiwan


Speech Title: Title: Borrowing from Nature to Conceal Information

Abstract: Steganography is the science of secret message delivery using cover media. A digital image is a flexible medium used to carry a secret message because the slight modification of a cover image is hard to distinguish by human eyes. In this talk, I will introduce some novel steganographic methods based on different magic matrices. Among them, one method that uses a turtle shell magic matrix to guide cover pixels' modification in order to imply secret data is the newest and the most interesting one. Experimental results demonstrated that this method, in comparison with previous related works, outperforms in both visual quality of the stego image and embedding capacity. In addition, I will introduce some future research issues that derived from the steganographic method based on the magic matrix.


Biography: Professor C.C. Chang was born in Taichung, Taiwan on Nov. 12th, 1954. He obtained his Ph.D. degree in computer engineering from National Chiao Tung University. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005. Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan. Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. And since his early years of career development, he consecutively won Outstanding Youth Award of Taiwan, Outstanding Talent in Information Sciences of Taiwan, AceR Dragon Award of the Ten Most Outstanding Talents, Outstanding Scholar Award of Taiwan, Outstanding Engineering Professor Award of Taiwan, Chung-Shan Academic Publication Awards, Distinguished Research Awards of National Science Council of Taiwan, Outstanding Scholarly Contribution Award of the International Institute for Advanced Studies in Systems Research and Cybernetics, Top Fifteen Scholars in Systems and Software Engineering of the Journal of Systems and Software, and so on. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published over 850 papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.





Prof. Anu Gokhale

Illinois State University, USA

Speech Title: Data Science: Applications in Business and Government


Abstract: Data science has emerged as an important area of study for both practitioners and researchers. In today's data-driven world, both government and business sectors are expected to increase resources to focus on data science to extract knowledge. Organizational data environments include both structured and unstructured information accumulated by entities from a large variety of sources in many different formats. Additionally, new sensor, mobile and wireless technologies are driving the evolution of Internet of Things, and its true value lies in an analytics platform rich enough to glean key insights for business advantage as well as effective public policy. The talk will address the issues and processes associated with data science and analytics, discuss relevant algorithms and techniques being researched for applications in both business and government, and reflect on the trends going forward.


Biography: Dr. Anu A. Gokhale has completed twenty-five years of university teaching and is currently a professor and coordinator of the computer systems technology program at Illinois State University. She is named Fulbright Distinguished Chair in STEM at the University of Pernambuco, Brazil, 2016-17; was a Faculty Fellow in Israel and Fulbright Specialist in cybersecurity at Gujarat Technological University, India in summer 2017; and a Visiting Professor in College of Business at Shandong University in Jinan, China during spring 2017. Dr. Gokhale was honored with the 2011 University Outstanding Researcher Award. Originally from India, she has a master's in physics‒electronics from the College of William & Mary, and a doctorate from Iowa State University. She presents and publishes her peer-reviewed research, and pursues multi-year projects funded by agencies like the US Department of Education, US Department of State, and National Science Foundation. The current NSF funded project is in Computing Education for the 21st Century. Dr. Gokhale authored a second edition of her book Introduction to Telecommunications, which has an international edition in Chinese. She continues to be an invited keynote speaker at various conferences, latest ones include: 2018 International Conference on Frontiers of Educational Technologies, Moscow, Russia; 2017 International Conference on Knowledge Engineering and Applications, London, UK; 2016 International Conference on Communication and Information Systems, Bangkok, Thailand; 2015 International Conference on Information Technology, Amman, Jordan; 2014 International Conference on Control, Robotics and Cybernetics, Singapore; and 2013 International Conference on Advanced Computer Theory and Engineering in Maldives. She consults for businesses and has delivered multiple workshops. As an active volunteer in IEEE, she has served as R4 Educational Activities Chair, Women in Engineering Coordinator, Chair of International Electro/Information Technology 2010 Conference, and MGA representative to the Educational Activities Board. She was honored with the IEEE Third Millennium Medal.




Prof. A. C. M. Fong

Western Michigan University, USA

Speech Title: Title: Next AI?


Abstract: From breakthroughs in autonomous vehicles to factory automation and healthcare delivery, aspects of Artificial Intelligence (AI) have made headlines numerous times in the recent past. Machines have now demonstrated super-human capabilities in performing tasks, such as playing board games, that until recently were thought difficult or impossible. Advances in machine learning (ML), especially deep learning neural networks, have been responsible for the bulk of the recent success stories. However, AI is far more than ML, and the picture has not always been so rosy. Taking a balanced view, this talk will examine the fundamental approaches to, and the multi-faceted dimensions of, AI well beyond the current hype surrounding ML. It will introduce the disciplines that have influenced AI and recount the significant events that occurred in the history of AI development over the past decades. By considering the past and present of AI, we can attempt to address the question of "what next?" Projected technological, economical, and societal impacts will be highlighted. The talk will conclude by asking ourselves fundamental questions about co-existence of humans and intelligent machines.


Biography: A.C.M. Fong was appointed professor of computer science at Auckland University of Technology in 2008. Since 2013, he has been with University of California Irvine, University of Glasgow, and now Western Michigan University. His research interests revolve around data-driven knowledge discovery and aspects of artificial intelligence, such as machine learning for classification and ontological knowledge representation and reasoning. His scientific contributions include two books, thirteen book sections, two international patents, and circa 190 papers in reputable journals and conference proceedings. Leading journals that carry his work include IEEE T-KDE, IEEE T-ITBiomed, IEEE T-MM, IEEE T-Evolutionary Computing, IEEE T-Affective Computing, IEEE T-II, and several other IEEE Transactions titles. He has served on several journal editorial boards and numerous conference committees. Dr. Fong holds four degrees in EE and CS. He is a registered Chartered Engineer and European Engineer.






More information will be updated soon...