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Keynote Lectures

Big Data, Smart Data and Imbalanced Classification: Preprocessing, Models and Challenges
Francisco Herrera, University of Granada, Spain

Privacy-preserving Machine Learning over Sensitive Data
Jin Li, Guangzhou University, China

Available Soon.
Yi-ke Guo, Imperial College, United Kingdom

 

Big Data, Smart Data and Imbalanced Classification: Preprocessing, Models and Challenges

Francisco Herrera
University of Granada
Spain
 

Brief Bio
Francisco Herrera is a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada, Spain. He has been the supervisor of 36 Ph.D. students. He has published more than 290 journal papers (H-index 99) that have received more than 35000 citations (Scholar Google). He is co-author of the books "Genetic Fuzzy Systems" (World Scientific, 2001) and "Data Preprocessing in Data Mining" (Springer, 2015). He currently acts as Editor in Chief of the international journals "Information Fusion" (Elsevier) and “Progress in Artificial Intelligence (Springer). He acts as editorial board member of a dozen of journals, among others: International Journal of Computational Intelligence Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, Information Sciences, Knowledge and Information Systems, Fuzzy Sets and Systems, Applied Intelligence, Knowledge-Based Systems, and Swarm and Evolutionary Computation. He is a Fellow of the European Coordinating Committee for Artificial Intelligence and the International Fuzzy Systems Association. He has been given many awards and honors for his personal work or for his publications in journals and conferences. His areas of interest include, among others, data science, data preprocessing, cloud computing and big data.


Abstract
Available Soon.



 

 

Privacy-preserving Machine Learning over Sensitive Data

Jin Li
Guangzhou University
China
 

Brief Bio
Jin Li is a professor at Guangzhou University. His research interests include design of secure protocols in Cloud Computing, cryptography, and machine learning. He served as a senior research associate at Korea Advanced Institute of Technology (Korea), VirginiaTech (U.S.A.), and Illinois Institute of Technology. He has published more than 100 papers in international conferences and journals, including IEEE INFOCOM, IEEE Transaction on Parallel and Distributed Computation, IEEE Transactions on Computers, IEEE Transactions on Cloud Computing and ESORICS etc. His work has been cited more than 5000 times at Google Scholar and the H-Index is 28.
He also served as program chairs and committee for many international conferences such as CSE 2017, ISICA 2015, 3PGCIC20 14, ICCCN and CloudCom etc. He received two National Science Foundation of China (NSFC) Grants for his research on Security and Privacy in Cloud Computing. He is also panel of NSFC He is PI for more than 15 funding. He has been selected as one of science and technology new stars in Guangzhou and outstanding young scholar in Guangdong province.


Abstract
Machine learning has been applied widely for classifying and recognizing complex data. However, security and privacy issues arise when the data are sensitive or the computing and data storage services are outsourced in the cloud computing. When the data are sensitive and the data evaluators are not fully trusted, the data have to be encrypted and traditional methods cannot be utilized to process the data. In this talk, I will introduce some basic solutions and challenges in this topic. Finally, I will show our method to solve this problem.



 

 

Available Soon.

Yi-ke Guo
Imperial College
United Kingdom
 

Brief Bio
Yike Guo is a Professor of Computing Science in the Department of Computing at Imperial College London. He is the founding Director of the Data Science Institute at Imperial College, as well as leading the Discovery Science Group in the department. Professor Guo also holds the position of CTO of the tranSMART Foundation, a global open source community using and developing data sharing and analytics technology for translational medicine. Professor Guo received a first-class honours degree in Computing Science from Tsinghua University, China, in 1985 and received his PhD in Computational Logic from Imperial College in 1993 under the supervision of Professor John Darlington. He founded InforSense, a software company for life science and health care data analysis, and served as CEO for several years before the company's merger with IDBS, a global advanced R&D software provider, in 2009. He has been working on technology and platforms for scientific data analysis since the mid-1990s, where his research focuses on knowledge discovery, data mining and large-scale data management. He has contributed to numerous major research projects including: the UK EPSRC platform project, Discovery Net; the Wellcome Trust-funded Biological Atlas of Insulin Resistance (BAIR); and the European Commission U-BIOPRED project. He is currently the Principal Investigator of the European Innovative Medicines Initiative (IMI) eTRIKS project, a €23M project that is building a cloud-based informatics platform, in which tranSMART is a core component for clinico-genomic medical research, and co-Investigator of Digital City Exchange, a £5.9M research programme exploring ways to digitally link utilities and services within smart cities. Professor Guo has published over 200 articles, papers and reports. Projects he has contributed to have been internationally recognised, including winning the “Most Innovative Data Intensive Application Award” at the Supercomputing 2002 conference for Discovery Net, and the Bio-IT World "Best Practices Award" for U-BIOPRED in 2014. He is a Senior Member of the IEEE and is a Fellow of the British Computer Society.


Abstract
Available Soon.



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