​​ICIICII 2020

​​The Fourth International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration 

Shantou, China  

December 18-19, 2020

Invited Speech

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Local landscape

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Co-sponsors

Shiping Wen, PhD，Full Professor


Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney




Title: Memristor-based Neuromorphic Computing Systems 



Abstract
      Artificial intelligence has been widely used in many fields to bring people many conveniences and great economic benefits. Hinton broke through the technical bottleneck of deep learning to lead the upsurge of deep learning. The rapid development of deep learning has promoted the development of artificial intelligence. The current study of deep learning focuses on the improvement of algorithm design and the introduction of new models, thus ignoring the cornerstone: hardware computing power. With the increase of massive data in the era of big data and the further increase of the deep learning network model, it is bound to put forward higher requirements for hardware computing power. In terms of hardware implementation, current computers are manufactured using conventional CMOS technology and suffer the inherent limitations due to miniaturization. The emergence of nanometer-size memristors in 2008 has led to the rapid development of brain-like computational chips. Memristors are characterized by their small size, analog storage, low powger consumption, and non-volatile characteristics, and are very suitable for constructing a flexible, adjustable, highly integrated deep learning network with simple structures. Therefore, this project is based on such ideas, studying the characteristics of memristors, exploring semi-supervised learning data sets processing techniques, designing improved deep learning algorithms, and implementing such algorithms by using memristive neural circuits, which are sufficient to support the training and application of large-scale deep learning networks. 

Biography
     Shiping Wen is a Professor with the Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney. His research interests include memristor-based neural network, deep learning, computer vision, and their applications in medical informatics et al. His research results have expounded in more than 100 publications in prestigious journals (JCR 25%) with 6 hot papers and 25 highly cited papers in the Essential Science Indicators (ESI), and 4000+ Google Scholar Citations. In 2018, he was listed as a Highly Cited Researcher in the Cross-Field by Clarivate Analytics.
     Prof Wen’s current research activities are supported by diverse funding bodies. For example, he is the leading chief investigator of two research projects funded by the National Natural Science Foundation of China (NSFC), one project founded by UTS seed found, one project founded by Huawei Technologies Co. Ltd, one project founded by the Aerospace Science and Technology Group of China, one project funded by strategic funding of UESTC. He is also a chief investigator of the National Key Technologies R&D Program of Ministry of Science and Technology of China. 
     Prof Wen received the 2019 Expert Title of Sichuan Province, 2017 Young Investigator Award of Asian Pacific Neural Network Association, and 2015 Chinese Association of Artificial Intelligence Outstanding PhD Dissertation Award. He currently serves as Associate Editor for Knowledge-Based Systems, Neural Processing Letters, IEEE Access; and Leading Guest Editor for several journals such as IEEE Transactions on Network Science and Engineering, Sustainable Cities and Society, Environmental Research Letters, et al.
  • The bird's-eye view of Shantou University
  • Nan’ao  Island
  • Nan'ao Bridge
  • Zhongshan Pavilion
  • Shantou Coastal Corridor
  • Lotus Pond
  • Gentleman Sculpture Group
Miroslav Joler, PhD，Professor


Faculty of Engineering, University of Rijeka, Croatia




Title: Challenges Toward Design and Fabrication of Smart(er) Clothing 



Biography
     Prof. Miroslav Joler received his B.S. degree in electrical engineering from the University of Zagreb, Croatia, in 1996, and his M.S. and Ph.D. degrees in electrical engineering from the University of New Mexico, Albuquerque, NM, USA, in 2001 and 2006, respectively. In 2006, he was a postdoctoral research associate with Portland State University, Portland, OR, USA. In 2007, he joined the University of Rijeka, Croatia, where he has founded a Wireless Communications Lab, and served as Chair of Computer Engineering Department, amongst other duties. His industry experience includes a position of an RF engineer with Croatian Radio and Television from 1996 to 1999. He has published in prominent scientific journals and served as session (co)chair, and technical program committee member at international conferences. He is an Editorial Board Member of two international scientific publishers and an Associate Editor of an international scientific journal. In 2017, he was elected to Associate level of Croatian Academy of Engineering. His current research interests include development of smart clothing, wearable and reconfigurable systems, biomedical applications of electromagnetics, and wireless power transfer.
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