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學(xué)術(shù)信息:  前沿科學(xué)報(bào)告(八百三十七)
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時(shí)間:  
報(bào)告地址:  

詳細(xì)信息


前沿科學(xué)報(bào)告

報(bào)告題目:Trustworthy AI Decision Systems

報(bào)告人:Jun Liu 教授

報(bào)告地點(diǎn):阿爾斯特學(xué)院C321

報(bào)告時(shí)間:2023519日(星期17:00-18:00

科技處 阿爾斯特學(xué)院


報(bào)告人簡介


Dr Jun Liu is currently a Reader in CS, Director of Artificial Intelligence Research Center (AIRC) at School of Computing, Ulster University, Northern Ireland, UK. He received BSc. and MSc. degrees in Applied Mathematics, and PhD. degree in Information Engineering from Southwest Jiaotong University, China, in 1993, 1996, and 1999, respectively. He worked in the field of AI for many years. His current research is focused on two themes: 1) trust and explainable data-knowledge integrated AI decision model/system with applications in management, engineering, and industry field etc. (e.g., safety and risk analysis; policy decision making; security/disaster management; anomaly detection and behavioural analysis for fin-crime; and heath care and smart home); 2) logic and automated reasoning methods for intelligent systems including software verification and automated theorem proving. In particular: resolution-based automated reasoning methods, algorithm and tools with applications (including software verification and automated theorem proving); lattice-valued logics with focus on handling incomparability, inconsistency and imprecision. He has authored or co-authored over 250 publications. He has been awarded over £8 Million of research funding from various funding bodies. He is an IEEE Senior Member, the current Chair of IEEE CIS Emergent Technologies Technical Committee (ETTC), also the Chair of IEEE System, Man and Cybernetics (SMC) Ireland Chapter (SMC28). He serves as an Associated Editor of IEEE Transaction on Fuzzy Systems, Knowledge-Based Systems, Human-Centric Computing and Information Sciences, and International Journal of Computational Intelligence Systems; also an Editor of Information Fusion, Journal of Universal Computer Science, and International Journal of Knowledge and Systems Science.



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