Keynote Speakers 

 

 

Prof. Nikola Kasabov  

IEEE Fellow and RSNZ Fellow, Auckland University of Technology, New Zealand

Speech Title: Brain-Inspired Computation for Advanced Image Processing and Computer Vision Systems  

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Short bio: Professor Nikola Kasabov is Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He is the Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland and Professor at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology, New Zealand. Kasabov is the 2019 President of the Asia Pacific Neural Network Society(APNNS) and Past President of the International Neural Network Society (INNS). He is member of several technical committees of IEEE Computational Intelligence Society and Distinguished Lecturer of IEEE (2012-2014). He is Editor of Springer Handbook of Bio-Neuroinformatics, Springer Series of Bio-and Neuro-systems and Springer journal Evolving Systems. He is Associate Editor of several journals, including Neural Networks, IEEE TrNN, Tr CDS, Information Sciences, Applied Soft Computing. Kasabov holds MSc and PhD from TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, intelligent information systems, soft computing, bioinformatics, neuroinformatics. He has published more than 620 publications highly cited internationally. He has extensive academic experience at various academic and research organisations in Europe and Asia, including: TU Sofia Bulgaria; University of Essex UK; University of Otago, NZ; Advisory Professor at Shanghai Jiao Tong University and CASIA China, Visiting Professor at ETH/University of Zurich and Robert Gordon University UK, Honorary Professor of Teesside University, UK.Prof. Kasabov has received a number of awards, among them:Doctor Honoris Causa from Obuda University, Budapest; INNS AdaLovelace Meritorious Service Award; NN Best Paper Award for2016; APNNA ‘Outstanding Achievements Award’; INNS Gabor Awardfor ‘Outstanding contributions to engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and Technology Medal; 2015 AUT Medal; Honorable Member of theBulgarian, the Greek and the Scottish Societies for ComputerScience. More information of Prof. Kasabov can be found from:
https://academics.aut.ac.nz/nkasabov.

 

Prof. Shahram Latifi  

IEEE Fellow, University of Nevada, USA

Speech Title: Facial Recognition- The most error-prone, yet enduring modern biometrics trait? 

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Short bio: Shahram Latifi, an IEEE Fellow, received the Master of Science egree in Electrical Engineering from Fanni, Teheran University, Iran in 1980. He received the Master of Science and the PhD degrees both in Electrical and Computer Engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently a Professor of Electrical Engineering at the University of Nevada, Las Vegas. Dr. Latifi is the director of the Center for Information and Communication Technology (CICT) at UNLV. He has designed and taught graduate courses on Bio-Surveillance, Image Processing, Computer Networks, Fault Tolerant Computing, and Data Compression in the past twenty years. He has given seminars on the aforementioned topics all over the world. He has authored over 200 technical articles in the areas of image processing, biosurveillance, biometrics, document analysis, computer networks, fault tolerant computing, parallel processing, and data compression. His research has been funded by NSF, NASA, DOE, Boeing, Lockheed and Cray Inc. Dr. Latifi was an Associate Editor of the IEEE Transactions on Computers (1999-2006) and Co-founder and General Chair of the IEEE Int'l Conf. on Information Technology. He is also a Registered Professional Engineer in the State of Nevada.

 

Prof. Nannan Wang  

Xidian University, China

Speech Title: Cross-domain Image Reconstruction  

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Short bio: Wang Nannan, Huashan Scholar distinguished professor and doctoral supervisor at Xidian University, is currently the director of Intelligent information processing center in State Key Laboratory of Integrated Services Networks. In recent years, he has been engaged in the research of computer vision and statistical machine learning. His research mainly involves cross-domain image reconstruction and credible identity authentication, including sketch-photo synthesis and recognition, image/video super-resolution reconstruction, image restoration, behavior analysis and recognition, person re-identification, etc. He has published over 150 papers in top international journals and conferences such as IEEE TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML, etc. He has received Outstanding Youth Foundation from National Natural Science Foundation of China. He has been selected as Young Elite Scientists Sponsorship Program by China Association of Science and Technology (CAST). He has been awarded the first prize for Ministry of Education Natural Science Award, the first prize for Shaanxi Province Science and Technology Award, the second prize of China Society of Image and Graphics (CSIG) Natural Science Award. He is the recipient of the Chinese Association for Artificial Intelligence (CAAI) Outstanding Doctorate Dissertations Award and Shaanxi Province Outstanding Doctorate Dissertations Award.

 

Prof. Guodong Ye  

Guangdong Ocean University, China

Speech Title: Compressive Sensing and Random Numbers Insertion based Image Encryption and Hiding Algorithm

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Short bio: Guodong Ye was born in China, He received the PhD degree in department of Electronic Engineering at City University of Hong Kong. From 2016 to 2018, He did the Post-doctoral research at Zhejiang University of China. At present, Dr. Ye is a Professor in Faculty of Mathematics and Computer Science at Guangdong Ocean University of China. His areas of interests are cryptography, application of chaotic system, compressive sensing, reversible information hiding, image encryption, and etc.