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  • Design Algorithms for Realistically DifficultBio-medical Problems


    主講人:龔新奇 中國人民大學副教授 博士生導師




    主講人介紹:龔新奇,中國人民大學數學科學研究院數學智能應用課題組長,副教授、博士生導師,中國人民大學數學學院學位委員會委員、師德建設與監督委員會委員,清華大學北京生物學高精尖創新中心合作研究員Co-PI,哈佛大學訪問學者,IBM公司訪問學者,中國計算機學會高級會員、生物信息學專業委員會員。已發表論文51篇,被引1823次,H指數21,包括Nature/Science/PNAS/Bioinformatics/IEEE-ACM TCBB等期刊。主持科研項目8個,獨立負責總經費220萬元,包括國家自然科學基金面上項目、國家自然科學基金重點集成項目子課題、國家重點實驗室開放課題等。

    內容介紹:The intersection among mathematics, information and biology has becoming more interesting and important. Many studies in this direction have led to developments of theories, methods and applications. But the fast advancing of nowadays forefront information technology and biology knowledge, have triggered two obviously emerging phenomena, tremendous brand-new data accessible by new kinds of computations, randomly meaningless results by in-correct intersections. Here I will present some of our recent results in developing and distinguishing efficiently intelligent approaches and applications for computational molecular biology and medical problems, such as protein structure-function-interaction prediction and pancreas cancer CT image analysis using algorithms like Fast Fourier Transform, Monte Carlo, and deep learning, and some new designed physical and geometrical features.