Prof. Dr. Fuyi Li
Northwest A&F University, China / College of Information Engineering,
Reasearch Area: Machine learning, Data Mining, Bioinformatics
Fuyi Li was initially trained in software engineering during bachelor's and master's studies. His previous research mainly focused on the development of data mining algorithms. Since he commenced his PhD research at Monash University in 2017, he have experienced a dramatic transition from a computer scientist to a computational biologist in terms of his knowledge structure and way of thinking. Prof. Li used every source he could to build his understanding of the complex biological problems and proposed data-driven machine learning-based approaches to address these problems and provide solutions. Since his PhD conferral in 2020/05, he joined the Peter Doherty Institute for Infection and Immunity and worked as a bioinformatics research officer (Level B). After that, Prof. Li was promoted to a full professor position on 2022/06 at the College of Information Engineering, Northwest A&F University. He can seamlessly communicate with both biologists and computer scientists and bridge the gap between them, to accurately describe the biological problem and propose appropriate ways to address it.
Prof. Li's current research interests are large-scale data mining, machine learning, bioinformatics, and computational biomedicine. More specifically, his research focuses on machine learning, sequence analysis, structural analysis, DNA/RNA modifications and protein post-translational modification prediction, and antimicrobial resistance phenotype prediction. He have extensive expertise, skill sets, and experiences in sequence analysis, structural bioinformatics, machine learning-based modelling, and biomedical data analytics. He have published 54 research papers (46 are JCR Q1 journal papers), including 13 first-author papers, 9 corresponding author papers, and 7 co-first author papers in top-tier bioinformatics peer-reviewed journals, such as Briefings in Bioinformatics (23 papers), Bioinformatics (8 papers), BMC Bioinformatics (2 papers), and Genomics Proteomics & Bioinformatics (1 paper). Prof. Li's Google Scholar citation is 2437, h-index 24 and i10-index 36 (Aug 2022). Among his publications, 11 papers were selected as Clarivate Highly Cited Paper and his publications have been cited in prestigious peer-reviewed journals such as Cell, Nature Chemical Biology, PNAS, Nucleic Acid Research, Bioinformatics, and Briefings in Bioinformatics.
Developing data-driven machine learning approaches to address bioinformatics classification problems
Prof. Xincheng Ren
Yanan University / School of Physics and Electronic Information
Reasearch Area: The characteristics of propagation and scattering of electromagnetic (optical) wave in complex systems and random medium, Computational electromagnetics, Theory and technology of wireless communication
Xincheng Ren is a member of IEEE, a senior member of the chinese institute of electronics, a senior member of the chinese institute of communications, a member of the physics teaching research association of the chinese education society, a member of the northwest subcommittee of the physics teaching steering committee of the education ministry, a member of the electromagnetic scattering and inverse scattering professional committee of the antenna branch of the chinese institute of electronics, a member of the "Smart Ecology" professional technology group of the internet of things committee of the china institute of communications, executive director of the Shaanxi provincial physics society, executive director of the Shaanxi provincial signal processing society, director of the Shaanxi provincial institute of communications, a member of the high performance computing professional committee of Shaanxi computer society, chairman of Yan'an physics society, executive vice chairman of Yan'an information network security association. He was selected into the science and technology expert database of the China institute of communications. He is an evaluation expert of the National Natural Science Foundation of China, an evaluation expert of the State Council's degree and postgraduate education dissertation, and an evaluation expert of scientific research projects of the Science and Technology Department of Chongqing City, Jiangxi Province, and Anhui Province.
He is currently a Professor with the school of physics and electronic information, Yanan University. He has authored over 200 papers. His research interests include propagation and scattering of electromagnetic (optical) waves in complex systems and random medium, computational electromagnetics, theory and technology of wireless communication.
He is currently the director of the Shaanxi Key laboratory of intelligent processing for energy big data, the director of the Shaanxi electronic information experimental teaching demonstration center, the deputy director of the Shaanxi physics experimental teaching demonstration center, and the director of the Yanan Key laboratory of information processing and measurement and control technology. He used to serve as the secretary of teaching and research, associate dean, and dean of the school of physics and electronic information, the director of the institute of radio waves and the director of the institute of information and communication engineering of Yanan University.
Research Status and prospect of composite electromagnetic scattering from rough sea and land surface with target
Prof. Han Huang
South China University of Technology / School of Software Engineering
Reasearch Area: Microcomputing theory and methods, intelligent software engineering, data intelligence engineering, biochemical reaction computer, etc.
Professor and doctoral supervisor of the School of Software, South China University of Technology, concurrently serving as an associate editor of the international academic journals IEEE Transaction on Evolutionary Computation (IF: 16.497), Complex & Intelligent Systems (IF: 6.700), and associate editor of the Intelligent Simulation Optimization and Scheduling Committee of China Simulation Society director. Deputy Secretary General of the Big Data and Artificial Intelligence Special Committee of the Chinese Society for Industrial and Applied Mathematics, Deputy Director of the Key Laboratory of Big Data and Intelligent Robots of the Ministry of Education, Chairman of the Software Engineering Professional Steering Committee of Guangdong Undergraduate Universities, Finance and Deputy Chairman of the Artificial Intelligence Professional Committee, Leader of the Information Technology Consulting Expert Group of the Guangdong Provincial Key Laboratory of Finance and Taxation Big Data, Vice Chairman of the Logistics Branch of the Guangdong Operational Research Society, Secretary General of the Software Engineering Professional Committee of the Guangdong Computer Society, and Guangdong Insurance Industry Consulting Expert , Deputy Director of the 11th Blockchain Special Committee of Guangdong Computer Society, Deputy Director of Guangzhou Industrial and Applied Mathematics Society, Director of Technical Committee of Guangdong Big Data and Computational Advertising Engineering Technology Research Center, CCF Distinguished Member and IEEE Senior Member; He has presided over more than 10 major projects at the national and provincial and ministerial levels. As the first author or corresponding author, he has published academic papers in IEEE TCYB, IEEE TETC, IEEE TSE, IEEE TEVC, IEEE TIP, IEEE TFS and Science in China. Published more than 60 papers in journals, and representative works were selected by ESI.
Automated Test Case Generation for Software Based on Micro-scale Searching
Assoc.Prof. Pavel Loskot
Zhejiang University-University of Illinois at Urbana-Champaign Institute (ZJUI)
Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as the Associate Professor after being nearly 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic.
He is the Senior Member of the IEEE, Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interest focuses on problems involving statistical signal processing and importing methods from Telecommunication Engineering and Computer Science to other disciplines in order to improve the efficiency and the information power of system modeling and analysis.