2027 International Conference on Industrial AI and Autonomous Systems (IAIAS 2027)

Speakers

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Prof. Xiaohu Tang, Southwest Jiaotong University, China

IEEE Fellow

Xiaohu Tang, Ph.D., is a Professor at Southwest Jiaotong University. He is an IEEE Fellow and a recipient of national talent programs. In recent years, he has received the Second Prize of Natural Science Award from the Ministry of Education. He has led a number of national and provincial-level research projects, including projects supported by the National Natural Science Foundation of China (NSFC) and major programs of the Ministry of Education. He has published over 100 SCI-indexed papers in major international academic journals, including more than 70 papers in the IEEE Transactions on Information Theory, a flagship journal in the information field. His current research interests include coding theory, distributed computing, big data storage, and privacy protection.

Prof. Pietro S. Oliveto, Southern University of Science and Technology, China

Pietro S. Oliveto is a Professor of Computer Science at the Southern University of Science and Technology (SUSTech) Shenzhen, China. He received the Laurea degree and PhD degree in computer science respectively from the University of Catania, Italy in 2005 and from the University of Birmingham, UK in 2009. He has been EPSRC PhD+ Fellow (2009-2010) and EPSRC Postdoctoral Fellow (2010-2013) at the University of Birmingham, UK and Vice-Chancellor's Fellow (2013-2016) and EPSRC Early Career Fellow (2015-2020) at the University of Sheffield, UK. Before moving to SUSTech he was Chair in Algorithms at the Department of Computer Science, University of Sheffield, UK.

His main research interest is the performance analysis, in particular the time complexity, of bio-inspired computation techniques including evolutionary algorithms, genetic programming, artificial immune systems, hyper-heuristics and algorithm configurators. He is currently building a Theory of Artificial Intelligence Lab at SUSTech.

He has guest-edited journal special issues of Computer Science and Technology, Evolutionary Computation, Theoretical Computer Science, IEEE Transactions on Evolutionary Computation and Algorithmica. He has co-Chaired the IEEE symposium on Foundations of Computational Intelligence (FOCI) from 2015 to 2021 and has been co-program Chair of the ACM Conference on Foundations of Genetic Algorithms (FOGA 2021) and Theory Track co-chair at ACM GECCO 2022, ACM GECCO 2023 and ACM GECCO 2026. He is part of the Steering Committee of the annual workshop on Theory of Randomized Search Heuristics (ThRaSH), and was Leader of the Benchmarking Working Group of the EU-COST Action ImAppNIO, member of the EPSRC Peer Review College and recently completed his term as Associate Editor of IEEE Transactions on Evolutionary Computation.

Assoc. Prof. Zhangzhi Zhao, University of Electronic Science and Technology of China, China

Zhangzhi Zhao, Deputy Director of the Department of Physical Education at the University of Electronic Science and Technology of China, member of the expert group of the National Institute of Science and Technology Sports at the University of Electronic Science and Technology of China, Director of the Special Committee of the Joint Laboratory for Integrated Microsystems of Intelligent Perception Fusion and Secure Mobile Payment, Deputy Director of the Sichuan Provincial Key Laboratory of Sports Medicine, and expert reviewer for national-level research projects. He has long been engaged in interdisciplinary research in the fields of human-machine intelligence and health engineering, human performance enhancement technologies, and the integration of sports, medicine, and engineering.

Assoc. Prof. Xin Lu, De Montfort University, UK

Xin Lu received the B.Sc. and M.Sc. degrees from Harbin Institute of Technology, Harbin, China, in 2008 and 2010, respectively, and the PhD degree in computer science from the University of Warwick, Coventry, U.K., in 2013. His PhD thesis was awarded the Warwick Faculty of Science Prize for the Best PhD Thesis in Computer Science in 2014.

He is currently an Associate Professor with the School of Computer Science and Informatics at De Montfort University (DMU) in Leicester, UK. Before joining DMU, he was a Lecturer (Assistant Professor) at the School of Electronics and Information Engineering, Harbin Institute of Technology (HIT) in China.

He is an expert in image/video processing and computer vision. In particular, his current research interests include video coding standards, data compression, deep learning, convolutional neural network, multimedia coding and transmission, and pattern recognition.

He was selected for the Future Research Leaders (FRLs) programme at DMU and received the Best Future Research Leader award of 2023. He serves as a member of the IST/37 committee on “Coding of picture, audio, multimedia and hypermedia information” of the British Standard Institute (BSI), and is acting as UK Delegate for ISO/IEC JTC1/SC29 (a.k.a MPEG & JPEG).

Assoc. Prof. Yuanyuan Huang, Chengdu University of Information Technology, China

Yuanyuan Huang received the B.Sc., M.Sc., and Ph.D. degrees from the University of Electronic Science and Technology of China, Chengdu, China, in 2004, 2007, and 2013, respectively. He was a Visiting Scholar with the University of Washington, Seattle, USA, from 2009 to 2011. He had been a Postdoctoral Researcher with the University of Electronic Science and Technology of China. He is currently an Associate Professor with the Chengdu University of Information Technology, Chengdu. His main research interests include multimedia, big data and artificial intelligence.