2019 Keynote&Plenary Speakers

 

Prof. Min-Ling Zhang, Southeast University, China

 

 

Min-Ling Zhang received the BSc, MSc, and PhD degrees in computer science from the Department of Computer Science and Technology, Nanjing University, China, in 2001, 2004 and 2007, respectively. Currently, he is a Professor at the School of Computer Science and Engineering, Southeast University, China. His main research interests include machine learning and data mining. In recent years, Dr. Zhang has served as the General Co-Chairs of ACML'18, Program Co-Chairs of ACML'17, PRICAI'16, Area Chair/Senior PC member of IJCAI'18/'17, AAAI'18/'17, ICDM'18/'17, PAKDD'16/'15, PC member of KDD'18/'17, ICML'18/'17, NIPS'17/'16, etc. He is also on the editorial board of ACM Transactions on Intelligent Systems and Technology, Neural Networks, Frontiers of Computer Science, Science China Information Sciences, etc., and one of the guest editors for the Machine Learning Journal special issue on learning from multi-label data. Dr. Zhang is the secretary-general of the CAAI (Chinese Association of Artificial Intelligence) Machine Learning Society, standing committee member of the CCF (China Computer Federation) Artificial Intelligence & Pattern Recognition Society. He is also the recipient of the CCF-IEEE CS Young Scientist Award (2016).

张敏灵分别于2001年、2004年、2007年于南京大学计算机科学与技术系获学士、硕士和博士学位,现为东南大学计算机科学与工程学院教授。主要研究领域为机器学习、数据挖掘。近年来应邀担任第十届亚洲机器学习会议(ACML'18)大会主席,第九届亚洲机器学习会议(ACML'17)、第十四届亚太人工智能国际会议(PRICAI'16)程序主席,以及IJCAI'18/'17, AAAI'18/'17, ICDM'18/'17, PAKDD'16/'15等国际会议领域主席/高级程序委员、KDD'18/'17, ICML'18/'17, NIPS'17/'16等国际会议程序委员等。任《ACM Transactions on Intelligent Systems and Technology》、《Neural Networks》、《Frontiers of Computer Science》、《Science China Information Sciences》等期刊编委,以及《Machine Learning》等期刊客座编辑。现任中国计算机学会人工智能与模式识别专委会常务委员、中国人工智能学会机器学习专委会秘书长等。曾获CCF-IEEE CS青年科学家奖(2016年度)等。

   

Prof. Liying Zheng, Harbin Engineering University, China

 

 

Liying Zheng received her B.Sc., M.Sc. and Ph.D. degrees in Control Theory and Control Engineering from Harbin Engineering University, China, in 1999, 2001 and 2003, respectively. At present, she is a professor in the Department of Computer Science and Technology at Harbin Engineering University. In 2009, she was also a visiting fellow at Nanyang Technological University, Singapore. Her search interests focus on image processing, object detection and object tracking. She has authored or coauthored more than 30 transactions and conference papers, and holds about 10 patents. In 2013 and in 2014, she and her collaborators organized a special session on Computer Vision and Pattern Recognition in the International Conference on Machine Learning and Cybernetics. She served as a session chair at 2017 IEEE International Conference on Mechatronics and Automation, and as a technical committee member at 2018 International Conference on Machine Learning and Computing.

   

Prof. Hong Zhang, Griffith University, Australia

 

 

More information will be updated soon...

   

Assoc. Prof. Simon James Fong, University of Macau, China

 

Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 373 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier, IEEE IT Professional Magazine, and various special issues of SCIE-indexed journals.

   

Assoc. Prof. Lin Huang, Metropolitan State University of Denver, USA

 

 

Dr. Lin Huang is an Associate Professor in the Department of Engineering and Engineering Technology (EAET) at Metropolitan State University of Denver, where she has been a faculty member since 2010.

Dr. Huang received her M.S. degree in Fudan University in China and completed her Ph.D. in Electrical Engineering from Florida Atlantic University in USA. Her research interests are in the area of Biometrics, Pattern Recognition, Signal Processing, Computer Vision, Machine Learning, Embedded System Design and VLSI.

Dr. Huang was recognized in the post "20 Professors in Engineering Technology to Know" in the website of OnlineEngineeringPrograms.com, an online resource for prospective students interested in the Engineering Field. The list is comprised of some of the outstanding professors and Universities in the field.

Dr. Huang is senior member of Institute of Electrical and Electronics Engineers (IEEE) and International Association of Computer Science and Information Technology (IACSIT), and a member of American Society for Engineering Education (ASEE). She was the Chair of International Conference on Machine Learning and Computing (ICMLC) in 2013, 2014 and 2016. And she was a guest editor for EDP Sciences in 2016. In 2017, she joined the editorial board of International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE) and joined the team as an honorary member of Editorial Board of the journal, International Journal of Darshan Institute on Engineering Research and Emerging Technologies. She has been the editor-in-chief for International Journal of Machine Learning and Computing (IJMLC) since 2012. And she has been reviewing papers on regular basis for international conferences and journals since 2008.

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