報告題目: Old Unsolved Problems in Biology and New Computational Perspectives from Topology and Statistical Learning Theory: From Bacteria and Plants towards the Human Brain
時間: 1.18(星期日) 下午2:00
地點: 研究生樓306

主講人介紹：Amir Assadi教授于于加州大學(xué)伯克利分校獲得數(shù)學(xué)學(xué)士學(xué)位(1974)，于普林斯頓大學(xué)獲得數(shù)學(xué)碩士學(xué)位(1975)并在1979年獲得博士學(xué)位(微分拓?fù)浞较?,。Assadi教授先后在普林斯頓大學(xué),、弗吉尼亞大學(xué)以及威斯康星大學(xué)任教，自1990至今為威斯康星大學(xué)麥迪遜分校教授,，并兼職于生物醫(yī)學(xué)工程系,、設(shè)計學(xué)院、醫(yī)學(xué)和公共衛(wèi)生學(xué)院,、生物技術(shù)中心等機(jī)構(gòu),。Assadi教授的研究方向包括：1.純數(shù)學(xué)：微分拓?fù)洹⑽⒎謳缀危?.應(yīng)用數(shù)學(xué)：信息科學(xué),、反問題,、大數(shù)據(jù)研究、超級計算信息學(xué)；3.跨領(lǐng)域研究：信息神經(jīng)學(xué),、視覺圖像科學(xué),、生物信息理論、系統(tǒng)生物學(xué),。

報告主要內(nèi)容：Study of variation in observable biological features (morphological variations, phenotypic traits) in an organism (species) is an old area of biology. Darwin uses "variation" as a cornerstone of his theory of evolution. In this expository lecture, I discuss examples morphological variation in diverse contexts. Then I provide unifying mathematical interpretations of certain concrete biological questions. Using contemporary understanding of molecular networks and their dynamics, I propose rigorous computational approaches to verify the mathematical conjectures and to test the related biological hypotheses regarding morphological variations and quantifying phenotypic traits.