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　　應(yīng)信息與電子學(xué)院邀請(qǐng)，日本會(huì)津大學(xué)趙強(qiáng)福教授于近期在我校訪問交流，并于2015年9月24日在信息科學(xué)實(shí)驗(yàn)樓202報(bào)告廳開展了“21世紀(jì)學(xué)科前沿”學(xué)術(shù)交流活動(dòng)，作了題為“應(yīng)對(duì)大數(shù)據(jù)挑戰(zhàn)的核心技術(shù)之一：察知科學(xué)與技術(shù)”的學(xué)術(shù)報(bào)告。報(bào)告會(huì)由信息與電子學(xué)院龍騰院長主持，出席報(bào)告會(huì)的有信息與電子學(xué)院的教師、本科生及研究生等共180余人。

　　趙強(qiáng)福教授首先簡(jiǎn)單介紹了Aware Theory的基本概念和內(nèi)涵，然后清晰透徹地介紹了3-Value Logic Aware System模型；在此基礎(chǔ)上，形象具體地通過實(shí)際例子介紹了Aware Theory在Intelligence Home和Information Security等方面的應(yīng)用。趙教授的報(bào)告圖文并茂，生動(dòng)活潑，與會(huì)師生認(rèn)真聽取了此次報(bào)告。報(bào)告結(jié)束后，趙教授回答了老師和同學(xué)們的相關(guān)問題。

　　通過這次學(xué)術(shù)交流活動(dòng)，使信息與電子學(xué)院師生對(duì)察知科學(xué)與技術(shù)有了深入的了解，拓展了視野，對(duì)選擇研究方向和開展科學(xué)研究有很大幫助。

趙強(qiáng)福教授簡(jiǎn)介：
Dr. Qiangfu Zhao received the B.S. degree in Computer Science from Shandong University (China) in 1982; the MS. degree in Information Engineering from Toyohashi University of Technology (Japan) in 1985; and Ph.D. degree in Electronic Engineering from Tohoku University (Japan), in 1988. He was an associate professor from 1991 to 1993 at Beijing Institute of Technology; associate professor from 1993 to 1995 at Tohoku University (Japan); associate professor from 1995 to 1999 at the University of Aizu (Japan); and tenure full professor since 1999 at the University of Aizu. He is the head of System Intelligence Laboratory; Director of Computer Science Division; associate editor of IEEE Transactions on Cybernetics; associate editor of IEEE SMC Magazine; and associate editor of the International Journal of Machine Learning and Cybernetics. He is the founding co-chair of the Technical Committee on Awareness Computing in IEEE Systems, Man, and Cybernetics Society, and founding co-chair of the Task Force on Aware Computing in IEEE Computational Intelligence Society. He has initialized, organized or co-organized several international conferences; edited or co-edited several journal special issues; and published more than 180 referred journal and international conference papers related to optimal linear system design, signal/image processing, neuro-computing, evolutionary computing, awareness computing, and machine learning.