2023 4th International Conference on Information Science, Parallel and Distributed Systems(ISPDS 2023)

Speakers (Leicester)

Shuai Liu.png

Prof. Steven Li

Swansea University, UK

Dr. Li received the B.E. degree in precision mechanical engineering from Hefei University of Technology in 2005, the M.E. degree in automatic control engineering from University of Science and Technology of China in 2008, and the Ph.D. degree in electrical and computer engineering from Stevens Institute of Technology, USA, in 2014. He is currently an Associate Professor (Reader) at Swansea University, UK, leading the Robotic Lab, conducting research on robot manipulation and impedance control, multi-robot coordination, distributed control, intelligent optimization and control, and legged robots. 


Beetle Antennae Search: Mathematic Formulation and Applications


The Beetle Antennae Search (BAS) algorithm is a nature-inspired optimization algorithm inspired by the unique behavior of beetle antennae. This paper presents a comprehensive mathematical formulation of the BAS algorithm and explores its various applications. The mathematical model of the BAS algorithm is developed by incorporating the principles of antenna sensing and exploration behavior observed in beetles. The algorithm's performance is evaluated using benchmark optimization problems, demonstrating its effectiveness in finding optimal solutions in complex and dynamic search spaces. Additionally, this study investigates the applicability of the BAS algorithm in diverse fields, such as engineering design, image processing, data clustering, and pattern recognition. Experimental results and comparative analyses highlight the advantages and potential of the BAS algorithm in addressing real-world optimization problems. Overall, this work provides a solid foundation for understanding the mathematical principles underlying the BAS algorithm and demonstrates its potential for solving a wide range of practical optimization challenges.


Prof. Yudong Zhang

University of Leicester, UK

Prof. Yudong Zhang is a Chair Professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE and ACM. He is the Distinguished Speaker of ACM. He was the 2019, 2021 & 2022 recipient of Clarivate Highly Cited Researcher. He has (co)authored over 400 peer-reviewed articles. There are more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers in his (co)authored publications. His citation reached 22936 in Google Scholar (h-index 84). He is the editor of Neural Networks, IEEE TITS, IEEE TCSVT, etc. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, Hope, British Council, and NSFC. He has served as (Co-)Chair for more than 60 international conferences (including more than 20 IEEE or ACM conferences). More than 50 news presses have reported his research outputs, such as Reuters, BBC, Telegraph, Physics World, UK Today News, etc.


Computer Software for COVID-19 Diagnosis


COVID-19 is a pandemic disease that caused more than 6.64 million deaths until 4/Dec/2022. X-ray and CT scans are two popular medical imaging technique used in radiology to get detailed images of the body noninvasively for diagnostic purposes. Traditional manual labeling of X-ray or CT-based scans is tedious and error-prone. To solve the problem, our lab develops new computer software, such as advanced pooling-based networks, graph convolutional networks, attention neural networks, weakly supervised networks, etc. We also use cloud computing techniques to run our developed app on the remote server to help doctors in the suburban area. Two other chest-related diseases: secondary pulmonary tuberculosis and community-acquired pneumonia, will be covered in this talk.