MLNLP 2019 Speakers

 

Keynote Speaker I

Chair Prof. Shyi-Ming Chen, National Taiwan University of Science and Technology, Taiwan

 

Shyi-Ming Chen received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is now a Chair Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He has published more than 510 papers in referred journals, conference proceedings and book chapters. His research interests include fuzzy systems, knowledge-based systems, artificial intelligence, neural networks, data mining, information retrieval, and genetic algorithms. 
Professor Chen is an IEEE Fellow, an IET Fellow and an IFSA Fellow. He is currently an Editor-in-Chief of the journal of Granular Computing, An Associate Editor-in-Chief of Applied Intelligence, an Associate Editor of the IEEE Transactions on Fuzzy Systems, an Associate Editor of the IEEE Transactions on Cybernetics, an Associate Editor of Information Sciences, an Editorial Board Member of Information Fusion, an Associate Editor of the Journal of Intelligent & Fuzzy Systems, an Associate Editor of the International Journal on Artificial Intelligence Tools, an Associate Editor of the International Journal of Pattern Recognition and Artificial Intelligence, an Editor of New Mathematics and Natural Computation, an Associate Editor of the International Journal of Fuzzy Systems, an Associate Editor of Fuzzy Optimization and Decision Making, an Editorial Board Member of Knowledge-Based Systems, an Associate Editor of Knowledge and Information Systems, and an Associate Editor of the Journal of Information Science and Engineering.

 

 

Keynote Speaker II

Prof. Chuan-Ming Liu, National Taipei University of Technology, Taiwan

 

Dr. Chuan-Ming Liu is a professor in the Department of Computer Science and Information Engineering(CSIE), National Taipei University of Technology(Taipei Tech), TAIWAN, where he was the Department Chair from 2013-2017. Currently, he is pointed to be the Head of the Extension Education Center at the same school. Dr. Liu received his Ph. D. in Computer Science from Purdue University in 2002 and joined the CSIE Department in Taipei Tech in the spring of 2003. In the summers of 2010 and 2011, he had held visiting appointments at Auburn University and Beijing Institute of Technology, respectively. He has services in many journals, conferences and societies as well as published more than 80 papers in many prestigious journals and international conferences. He was the co-recipients of ICUFN 2015 Excellent Paper Award, ICS 2016 Outstanding Paper Award, MC 2017 Best Poster Award, and WOCC 2018 Best Paper Award. His current research interests include big data management and processing, uncertain data management, data science, spatial data processing, data streams, ad-hoc and sensor networks, location based services.

 

 

 

Plenary Speaker I

Assoc. Prof. Feng-Jen Yang, Florida Polytechnic University, U.S.

 

Dr. Feng-Jen Yang received the B.E. degree in Information Engineering from Feng Chia University, Taichung, Taiwan, in 1989, the M.S. degree in Computer Science from California State University, Chico, California, in 1995, and the Ph.D. degree in Computer Science from Illinois Institute of Technology, Chicago, Illinois, in 2001, respectively. Currently, he is teaching and conducting researches at the Florida Polytechnic University. Besides the currently academic career, he also has highly regarded prior research experiences. He once was a research assistant at the Chung Shan Institute of Science and Technology (CSIST), Taoyuan, Taiwan, from 1989 to 1993, as well as an engineer at the Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan, from 1995 to 1996. His research areas include Artificial Intelligence, Machine Learning, Expert Systems, and Simulated Biological Intelligence. He had also been awarded with research grants from ACM SIGCSE and Seed Grants from Florida Polytechnic University.

 

 

 

 

 

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