Speakers

Prof. P. Takis Mathiopoulos

IEEE Fellow

National and Kapodistrian University of Athens, Greece 

Biography:

P. Takis Mathiopoulos received the Diploma in Electrical Engineering from the University of Patras, Greece, in 1979, the Master of Engineering (M.Eng.) degree with a specialization in Microwaves and the Ph.D. degree from the University of Ottawa with a specialization in Digital Telecommunications, in 1989, both in Canada.

Since 2014, he holds the position of Professor of Digital Communications, in the Department of Informatics and Telecommunications, University of Athens (UoA). From 2000 - 2014, with the Institute for Space Applications and Remote Sensing (ISARS) at the National Observatory of Athens, in Penteli, Athens, Greece, first as its Director (2000-2004) and then Director of Research. From 1989-2003, he was with the Department of Electrical and Computer Engineering, University of British Columbia (UBC), in Canada, holding the rank of Professor from 1999-2003.

Over the years, he has supervised 3 groups (at UBC, ISARS and UoA) with R&D activities in the field of “Wireless Communications”, with emphasis on research dealing with physical layer problems for both satellite and terrestrial system applications. He has participated as a partner and Principal Investigator (PI) in 7 European, 12 Greek, and 15 Canadian projects, with a total budget of more than 3M€, funded by the European Commission, European Space Agency (ESA) and the Greek and Canadian government. These include SatNEx and SatNEx-II, which were funded by the EC, SatNEx-III and OFDM Technique for Broadband Satellite Systems funded by the European Space Agency, Sensor Networks and MIMO Studies funded by the General Secretariat of Research and Technology (GRST), Greece.

Assist. Prof. Yin Feng

The Chinese University of Hong Kong (Shenzhen), China

Biography:

Feng Yin received his B.Sc. degree from Shanghai Jiao Tong University, China, and his M.Sc. and Ph.D. degrees from Technische Universitaet Darmstadt, Germany. From 2014 to 2016, he was a postdoc researcher with Ericsson Research, Linkoping, Sweden. Since 2016, he has been with The Chinese University of Hong Kong, Shenzhen and is currently an assistant professor of the School of Science and Engineering. His research interests include statistical signal processing, Bayesian learning and optimization, and sensory data fusion. He has published more than 40 top-tier journal papers, 50 conferences, and 20 patents/standards. He was a recipient of the Chinese Government Award for Outstanding Self-Financed Students Abroad in 2013 and the Marie Curie Young Fellowship from the European Union in 2014. He was the finalist for the IEEE CAMSAP best paper award in 2013 and received the best paper award of ICSINC conference in 2022. He has served as Associate Editor for the Elsevier Signal Processing Journal and currently serving as the Associate Editor for the IEEE Transactions on Signal Processing. He is an IEEE senior member and a core member of the IEEE Machine Learning and Signal Processing (MLSP) technical committee and the IEEE SPS scholarship committee.

Prof. Yajun Liu

South China University of Technology, China

Biography:

Prof. Yajun Liu is from the School of Mechanical and Automotive Engineering, South China University of Technology. His research interests are the process and mechanism of manufacturing systems and optimization control technology. Prof. Liu has won several academic awards such as the "Guangdong Provincial Outstanding Postgraduate and First Prize of Tsang Hin-chi scholarship," the "Elec & Eltek Innovation Award," the "Research Paper Award in Modern Manufacturing," and the "Outstanding Paper Award of 20th International Conference on Machinery and Electronics 2016." His research results include developing the world's first intelligent controller for fuel filling for industrialized promotion and chairing the core control system optimization design projects for several industry-leading enterprises (Tokheim, Johnson Controls, Henglitai, etc.) and achieving performance improvement of key technical parameters. 

Prof. Guojian Cheng

Xijing University, China

Biography:

He has long been engaged in teaching and research in artificial intelligence and machine learning. The main research topics involve the application of artificial intelligence and machine learning in geoscience and petroleum engineering. His research interests include artificial intelligence, machine learning, data science, big data technology, pattern recognition, data mining, image processing, and intelligent reservoir engineering. He has presided over and completed two National Natural Science Foundation of China (NSFC) projects, "Theoretical and Practical Research on Hybrid Soft Computing System for Reservoir Simulation" and "Research on Reservoir History Fitting Agent Model Based on Kernel Vector Machines". During his visit to the Department of Petroleum Engineering of West Virginia University, he organized a series of seven lectures on "Computational Intelligence and its Applications in Petroleum Engineering".

He has published more than 200 articles in related academic research fields and international conferences, and more than 20 books in the fields of artificial intelligence, big data and machine learning. He initiated the "Intelligent Digital Oilfield Forum (iDOF)" and the annual academic conference, and gave lectures on "Artificial Intelligence and Digital Oilfield Technology Application and International Dynamics" for oilfield enterprises and institutions; he has given lectures on "Artificial Intelligence, the Future is Now" in the training courses for cadres of provincial organs. "He has been invited to be the speaker and chairman of many international academic conferences.

He is a member of CCF of China Computer Society, a member of Microelectronics Committee of CCF of Shaanxi Province, a director of Computer Education Society of Shaanxi Province, a member of SPE of International Society of Petroleum Engineers;  a member of European Geophysical Society;  an editorial board member of Journal of Xi'an University of Petroleum (Natural Science Edition);  and an assessor of National Natural Science Foundation of China.  He has been the leader of the master's program of Software Engineering and Theory in the School of Computer Science of Xi'an Petroleum University, the director of the Institute of Intelligent Digital Oilfield, and was honored with the title of Outstanding Returned Scholar in Shaanxi Province in 2009.