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Keynote Speakers

Keynote Speakers

Keynote: 30~40 minutes
Name: Prof.Dr. Baihua Li
Senior Member of IEEE, EPSRC Full College Member, Member of IEEE Computer Society, Fellow of Higher Education Academy UK.
Affiliation: Department of Computer Science, Loughborough University, UK
Mail id: b.li@lboro.ac.uk   Phone No: +44 07912227789
Homepage: https://www.lboro.ac.uk/departments/compsci/staff/academic-teaching/baihua-li/

 


Biography:
Dr. Baihua Li is a Professor at Department of Computer Science, Loughborough University, UK. She is Member of IEEE, Member of IEEE Computer Society, and Fellow of Higher Education Academy UK. Her main research expertise lies in computer vison, pattern recognition, machine learning, deep learning, artificial intelligence, robotics, intelligent systems and data science. Her research emphasizes novel AI theory and applications in human-machine interaction, autonomous systems, sports science, computer-aided medical diagnosis, surveillance, finance and big data. More than 90 papers have been published, including the most prestigious scientific journals, e.g. IEEE Trans. Cybernetics, IEEE Trans. Industrial Informatics, IEEE Trans. Biomed Eng., IEEE Trans. Image Processing, Pattern Recognition, IEEE Journal of Biomedical and Health Informatics and Information Sciences. She has a proven track record and contributed to a number of research projects in AI. On-going projects (over £1.4M in AI, machine learning, robotics and big data) are mainly funded by Innovate UK, Newton Fund, EPSRC, KTP, NHS and a wide range of industry.
Research Interests: AI, computer vison, pattern recognition, machine learning, deep learning, robotics, embedded intelligent systems, big date, HCI, human motion analysis, sensors and image/signal processing.

 







Keynote: 30~40 minutes
Name: Prof. Michalis Vazirgiannis
Affiliation: Professor & Director of Data Science and Mining Team (DASCIM), LIX, Ecole Polytechnique
Homepage: http://www.lix.polytechnique.fr/~mvazirg

 


Biography:
He holds a degree in Physics and a PhD in Informatics from Athens University(Greece) and a Master degree in AI from Heriot Watt University,Edinburgh (UK). He has conducted research in Frauhofer, Max Planck MPI (Germany), in INRIA/FUTURS (Paris). He has been teaching in AUEB (Greece), Ecole Polytechnique, Telecom-Paristech, ENS (France), Tsinghua, Jiaotong Shanghai (China) and in Deusto University (Spain). His current research interests are on machine/deep learning and combinatorial methods for Graph analysis (including community detection, graph clustering, node embeddings and influence maximization), Text mining (including Graph of Words, word embeddings with applications to web advertising and marketing, event detection and summarization). He has active cooperation with industrial partners in the area of analytics and machine learning for large scale data repositories in different application domains (including recommendations, meeting summarizatiom, influence metrics for scientific and social networks, predictive maintenance and others). He has supervised fifteen completed PhD theses. He has published three books and more than a 160 papers in international refereed journals and conferences. He has organized large scale conferences in the area of Data Mining and Machine Learning (such as ECML/PKDD) while he participates in the senior PCs of AI and ML conferences – such as AAAI and IJCAI, He has received the ERCIM and the Marie Curie EU fellowships, the Tencent “Rhino-Bird International Academic Expert Award” in 2017 and since 2015 he leads the AXA Data Science chair.
Research Interests: Deep Learning for graphs, Graph based NLP, Influence maximization and Social media