Keynote Speaker information (will be updated soon)

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Keynote Speaker I

Prof. Xudong Jiang (IEEE Fellow)

Nanyang Technological University, Singapore

Dr. Xudong Jiang received the B.Eng. and M.Eng. from the University of Electronic Science and Technology of China (UESTC), and the Ph.D. degree from Helmut Schmidt University, Hamburg, Germany. From 1986 to 1993, he was a Lecturer with UESTC, where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. From 1998 to 2004, he was with the Institute for Infocomm Research, A-Star, Singapore, as a Lead Scientist and the Head of the Biometrics Laboratory, where he developed a system that achieved the most efficiency and the second most accuracy at the International Fingerprint Verification Competition in 2000. He joined Nanyang Technological University (NTU), Singapore, as a Faculty Member, in 2004, and served as the Director of the Centre for Information Security from 2005 to 2011. Currently, he is a professor in NTU. Dr Jiang holds 7 patents and has authored over 150 papers with over 40 papers in the IEEE journals, including 11 papers in IEEE T-IP and 6 papers in IEEE T-PAMI. Three of his papers have been listed as the top 1% highly cited papers in the academic field of Engineering by Essential Science Indicators. He served as IFS TC Member of the IEEE Signal Processing Society from 2015 to 2017, Associate Editor for IEEE SPL from 2014 to 2018, Associate Editor for IEEE T-IP from 2016 to 2020 and the founding editorial board member for IET Biometrics form 2012 to 2019. Dr Jiang is currently an IEEE Fellow and serves as Senior Area Editor for IEEE T-IP and Editor-in-Chief for IET Biometrics. His current research interests include image processing, pattern recognition, computer vision, machine learning, and biometrics.

 

Prof. Gonzalo Arce  ( IEEE Life Fellow / SPIE fellow/ AAIA fellow )

University of Delaware, USA

Dr. Gonzalo Arce’s expertise lies in the fields of computational imaging, signal processing on graphs, and machine learning. His research is highly interdisciplinary, drawing from the theories of mathematics, optics, statistics, and artificial intelligence. Dr. Arce’s primary research areas encompass computational compressive lidar, compressive sensing for spectral imaging, spectral X-Ray tomography, generative machine learning for inverse problems, and hypergraph neural networks. He applies his research to various domains, including biomedicine, Earth science, complex systems, and lithography. Dr. Arce is an active member of the Institute of Financial Services Analytics (IFSAN) and the Data Science Institute, both at the University of Delaware. He collaborates extensively with research groups worldwide, including those in Finland, China, Colombia, Bolivia, Poland, Ukraine, and Spain. Dr. Arce has twice held the Nokia-Fulbright Distinguished Chair in Information and Communications Technologies in Helsinki, Finland. He has received numerous prestigious recognitions, including being a Fellow of the National Academy of Inventors, a Life Fellow of the IEEE, a Fellow of the International Society of Optics and Photonics (SPIE), a Fellow of the AAIA, and a Fellow of the Center of Advanced Studies at the University of Delaware.

In addition to his research contributions, Dr. Arce frequently serves as an expert witness in patent litigation cases, offering his expertise in signal and image processing, spectral imaging, QR codes, electronic printing, and X-Ray tomography. He is passionate about teaching, offering a first course on machine learning, and a course on imaging with deep learning. Dr. Arce has an extensive publication record, having authored or co-authored over 800 scientific papers, holds more than 30 patents, and has authored five textbooks covering various aspects of imaging and signal processing.