姓　　名:张海樟性别:男职称/职务:教授/电子邮箱:zhhaizh2@mail.sysu.edu.cn办公地点:科学计算与计算机应用系联系电话:020-84112730邮政编码:510275通讯地址:广州市新港西路135号中山大学415楼417房研究生和博士生招收方向：计算与应用调和分析、机器学习和可再生核理论、采样理论、自适应信号分析Personalpage：home3.sysu.edu.cn/jskx/haizhang/Researchinterestsapplicableandcomputationalharmonicanalysis,samplingtheory,machinelearningandreproducingkernelspaces,andmathematicalfoundationfortime-frequencyanalysis,especiallyforempiricalmodedecomposition.EducationPh.D.,Mathematics,SyracuseUniversity,USA,2009M.S.,ComputationalMathematics,AcademyofMathematicsandSystemsScience,ChineseAcademyofSciences,China,2006B.S.,MathematicsandAppliedMathematics,BeijingNormalUniversity,China,2003

WorkingexperienceJune2010-present,ProfessorofMathematics,SunYat-senUniversityJune2009-May2010,PostdoctoralResearchFellow,UniversityofMichigan,AnnArbor

Selectedpublications:

1.(WithJunZhang)Frames,RieszBases,andSamplingExpansionsinBanachSpacesviaSemi-innerProducts,AppliedandComputationalHarmonicAnalysis31(1)(2011),1-25.

2.(WithYueshengXuandJunZhang)ReproducingKernelBanachSpacesforMachineLearning,JournalofMachineLearningResearch10(2009),2741-2775.

3.(WithCharlesA.MicchelliandYueshengXu)OptimalLearningofBandlimitedFunctionsfromLocalizedSampling,JournalofComplexity25(2009),85-114.

4.(WithYueshengXu)RefinementofReproducingKernels,JournalofMachineLearningResearch10(2009),107-140.

5.(WithBoYu)TheBedrosianIdentityandHomogeneousSemi-convolutionEquations,JournalofIntegralEquationsandApplications20(2008),527--568.

6.(WithYueshengXu)RefinableKernels,JournalofMachineLearningResearch8(2007),2083-2120.

ForprospectivestudentsIamactivelylookingformastersandPh.D.studentswithasolidmathematicsbackground,especiallythosethroughafive-yearPh.D.program(硕博连读).Studentsinterestedinpursuingmathematicalfoundationsforappliedsciencesusingthetoolofanalysisaredesirable.Recruitedstudentswillreceiverigoroustrainingandgeneroussupport.Interestedstudentsareverywelcometocontactmebyemail.StudentswithaB.S.degreeareexpectedtobegoodat(1)MathematicalAnalysis(数学分析）(2)LinearAlgebra(线性代数)Besides,MeasureTheoryandIntegration,ComplexVariables,FunctionalAnalysis,ProbabilityandStatistics,NumericalAnalysis,Topology,ProgrammingwithMatlab,andAbstractAlgebrawillbehelpful.Studentswithamastersdegreeareadditionallyexpectedtobegoodat(1)FunctionalAnalysisatthegraduatelevel(2)FourierAnalysis(3)MeasureTheoryandIntegrationBesides,ConvexAnalysis,ApproximationTheory,MatrixAnalysis,Optimizationwillbeveryhelpful.MathematicalentranceexamsformyPh.D.programinclude:(1)MathematicalAnalysisandFunctionalAnalysis(2)NumericalAnalysis(includebutnotlimitedto:polynomialinterpolation,zerosofone-variatenonlinearfunctions,numericaldifferentiationandintegration,numericalmethodsforODEandPDE,numericalmethodsforsystemsoflinearequations,vectorandmatrixnorms,bestapproximation,Galerkinandvariationalmethodsfordifferentialequations)