Han Huang, Professor, School of Software Engineering, South China University of Technology, China.

Professor Huang is a professor and doctoral supervisor of the School of Software Engineering at South China University of Technology. He is currently serving as an associate editor of IEEE Transaction on Evolutionary Computation (IF: 16.497), Complex & Intelligent Systems (IF: 6.700) and IEEE Transactions on Emerging Topics in Computational Intelligence (IF: 4.851), and Director of Teaching Steering Committee for Software Engineering of Undergraduate Colleges and Universities in Guangdong Province. Prof. Huang has made great contributions to the scholarship on the theories and application of intelligent optimization algorithms. For example, he has proposed a time complexity analysis method of real-world evolutionary algorithms, algorithms for efficient and accurate image matting, a method for automated test case generation based on path coverage, etc. Prof. Huang has hosted more than twenty national and provincial projects. He has published two books, Theory and Practice of Intelligent algorithm and Theory, Methods and Tools for Time Complexity Analysis of Evolutionary Algorithm. He has also published more than 80 papers in IEEE TCYB, IEEE TETC, IEEE TSE, IEEE TEVC, IEEE TIP, IEEE TFS, and Science China, including ESI highly cited papers. As the first inventor, Prof. Huang has 41 invention patents granted in China and seven invention patents granted in the United States. He won China Patent Excellence Award as the first completer. Additionally, Prof. Huang pays attention to social services. Over the past five years, he has given more than 50 public lectures on science and technology for government offices, primary and secondary schools, CCF, YOCSEF, media, etc. He also values the domestic alternatives to foreign software. He has been in charge of the development and release of six public software systems such as “Text=Code” Automatic Code Generation System, Automatic Structural Equation Modeling System www.autosem.net, Evolutionary Algorithm Time Complexity Analysis System www.eatimecomplexity.net, and Energy Storage Optimization System http://energystorage.autosem.net, which have provided free technical service and support for lots of researchers and engineers.

Murat Kirişci, Professor, Department of Biostatistics and Medical Informatics, Cerrahpaşa Medicine Faculty, Istanbul University-Cerrahpaşa, Turkey.

Dr. Murat Kirişci is a Professor in the Department of Biostatistics and Medical Informatics, Cerrahpaşa Medicine Faculty at the Istanbul University-Cerrahpaşa. He received the Ph. D. degree in Mathematics from Erciyes University. His research has been focused on the Matrix domain, statistical convergence, fixed point theory, decision making, fuzzy set and systems, fuzzy logic, artificial intelligence, machine learning, intelligence systems, and optimization. He has contributed research papers in reputed journals and also as a reviewer in different scientific journals.

Yudong Zhang, Professor, School of Computing and Mathematical Sciences, University of Leicester, UK.

Biography: Prof. Yudong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis.

He is the Honorary Follow of World Leadership Academy, Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was 2019, 2021 & 2022 recipient of Clarivate Highly Cited Researcher. He is included in World’s Top 2% Scientist by Stanford University from 2020 to 2022. He won the Emerald Citation of Excellence 2017, MDPI Top 10 Most Cited Papers 2015, Information Fusion 2022 Best Paper Award, etc. His three papers are included in UK Research Excellence Framework (REF) 2021.

He has (co)authored over 400 peer-reviewed articles in the journals: Ann Oncol, JACC, JAMA Psychiatry, IJIM, Inf Fus, IEEE TFS, IEEE TII, IEEE TIP, IEEE TMI, IEEE IoTJ, Neural Networks, IEEE TITS, Pattern Recognition, IEEE TGRS, IEEE JBHI, IEEE TCSVT, IEEE TETCI, IEEE TCSS, IEEE JSTARS, IEEE TNSRE, IEEE SJ, ACM TKDD, ACM TOMM, IEEE/ACM TCBB, IEEE TCAS-II, IEEE JTEHM, ACM TMIS, etc. There are more than 60 ESI Highly Cited Papers and 6 ESI Hot Papers in his (co)authored publications.

His citation reached 25579 in Google Scholar (h-index 89). He is the editor of Neural Networks, IEEE TITS, IEEE TCSVT, IEEE JBHI, etc. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, BBSRC, Hope, British Council, Fight for Sight, and NSFC.

He has given over 120 invited talks at famous universities and top conferences, including Harvard University, University of Birmingham, University of Sheffield, University of Surrey, Manchester Metropolitan University, De Montfort University, Polish Academy of Sciences, University of Warsaw, Hasselt University, etc. He has served as (Co-)Chair for more than 60 international conferences and workshops (including more than 20 IEEE or ACM conferences). His research outputs have been reported by more than 50 news press, such as Reuters, BBC, Telegraph, Mirror, Physics World, UK Today News, EurekAlert! Science News, India Times, Association of Optometrists (AOP) news, Medical Xpress, etc.