IUNI has over 165 faculty affiliates from across IU. You may browse through listings below – clicking on a name will expand to show you full listings. You may also search through keywords and biographies in the search bar below.
|A - E|
|P - T|
|Razo, Armando||Political Science, College of Arts and Sciences / IUB|
Bio: Professor Razo's research interests are in the field of comparative politics, with special interests in the political economy of development and comparative analysis of networks and institutions. His research and teaching center around two themes: (1) how political institutions in developing countries affect economic performance; and (2) the study of political institutions and political organization in nondemocratic settings. Current research projects include the development of an ontology and linguistic corpus for comparative analysis of networks in international development. He teaches courses on networks and institutions, quantitative contextual analysis, development, positive political economy, and Latin American politics. He is the author of Social Foundations of Limited Dictatorship, published by Stanford University Press in 2008, which advances a network theory of private policymaking. A student of economic history, he is also co-author with Stephen Haber and Noel Maurer of The Politics of Property Rights (2003).
Disciplines: Political Science
Keywords: Affiliation networksCo-evolution of networks and behaviorComputational Social SciencesCorporate networksData collectionEgocentric networksExponential random graph modelsGame theoryGraph theoryInter-organizational networksMathematical theoriesNetwork structureNetwork theoryPolicy networksPolitical networksTeaching networksText analysisTool development for networks
|Shen, Li||Radiology and Imaging Sciences, School of Medicine / IUPUI|
Bio: Dr. Li Shen holds a B.S. degree from Xi'an Jiao Tong University, an M.S. degree from Shanghai Jiao Tong University, and a Ph.D. degree from Dartmouth College, all in Computer Science. Dr. Shen is an Associate Professor of Radiology and Imaging Sciences at Indiana University School of Medicine (IUSM), and Associate Director of IU Center for Computational Biology and Bioinformatics (CCBB). He is the Executive Director of the MICCAI Society Board of Directors. He is a member of the Center for Neuroimaging, the Center for Computational Biology and Bioinformatics, and the Stark Neurosciences Research Institute at IUSM, and IU Network Science Institute. He is also affiliated with Departments of CIS, ECE and Biostatistics, and School of Informatics and Computing at IUPUI. His research interests include medical image computing, bioinformatics, data mining, and network science. The central theme of his lab is focused on developing computational and informatics methods for integrative analysis of multimodal imaging data, high throughput "omics" data, fluid and cognitive biomarker data, and rich biological knowledge such as pathways and networks, with applications to various complex disorders. The ultimate goal is to improve mechanistic understanding of disease processes and treatment responses for early diagnosis and therapeutics. His research is primarily funded by NIH (NLM, NIA, NIBIB, NIAAA, NCATS), NSF, DOD and NCAA. Further information about Dr. Shen's research activities is available at http://www.iu.edu/~shenlab/.
|U - Z|
|Yan, Xiaoran||IU Network Science Institute / IUB|
Bio: Xiaoran Yan is an Assistant Research Scientist at Indiana University Network Science Institute. His research concerns mathematical theories and models of networks, with a focus on community structures and dynamical processes on networks. Through cross-disciplinary collaborations, his work is being applied to diverse areas including social networks, neuroimaging and science of science studies. He worked as a Postdoctoral Research Associate at Information Sciences Institute of University of Southern California. Before that, he was a graduate fellow at Santa Fe Institute. He received a Ph.D. in Computer Science at University of New Mexico.
Disciplines: Computer science
Keywords: Best practices in networksBig data and networksBlock modelsBrain NetworksCommunity detectionDeep learningdistributed graph learningsignal processing on networksDiffusionDynamical processesEgocentric networksEpidemicsExponential random graph modelsGame theoryGraph theoryLongitudinaldynamic modelsMathematical theoriesMultilayermultiplex networksNeuroimagingScience of scienceTool development for networks