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.
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|Beer, Randall||Cognitive Science Program, College of Arts and Science / IUB|
|Escanciano, Juan Carlos||Economics, College of Arts and Sciences / IUB|
Bio: Dr. Juan Carlos Escanciano is originally from Madrid, Spain. He attended Universidad Complutense de Madrid, where he received a B.S. in math, and University Carlos III de Madrid where he received a Ph.D. in Economics in 2004. Following two years on the faculty of the Universidad de Navarra, in Pamplona, Spain, Dr. Escanciano came to Indiana University in 2006 as an Assistant Professor of Economics. His research interests fall broadly into the area of econometric theory and applications, with a recent emphasis on identification of flexible econometric models.
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|Menczer, Filippo||Informatics and Computer Science, School of Informatics and Computing / IUB|
Bio: Filippo Menczer is a Professor of informatics and computer science, adjunct Professor of physics, and a member of the cognitive science program at Indiana University, Bloomington. He holds a Laurea in Physics from the University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer has been the recipient of Fulbright, Rotary Foundation, and NATO fellowships, and a Career Award from the National Science Foundation. He currently serves as director of the Center for Complex Networks and Systems Research and is a Fellow of the Institute for Scientific Interchange Foundation in Torino, Italy, a Senior Research Fellow of The Kinsey Institute, and an ACM Distinguished Scientist. He previously served as division chair in the IUB School of Informatics and Computing, and was Fellow-at-large of the Santa Fe Institute. His research is supported by the NSF, DARPA, and the McDonnell Foundation. It focuses on Web science, social networks, social media, social computation, Web mining, distributed and intelligent Web applications, and modeling of complex information networks.
Disciplines: Computer Science
Keywords: Big data and networksCo-evolution of networks and behaviorCommunicationComputational Social SciencesCultural dynamicsData collectionDiffusionDynamical processesInformationInterventions on networksLongitudinaldynamic modelsNetwork structurePolitical networksScience of scienceSearch in networksSocial mediaSocial networks and healthSocio-technical systems
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|Saykin, Andrew J.||Radiology and Imaging Sciences, School of Medicine / IUPUI|
Bio: Dr. Saykin is the Raymond C. Beeler Professor of Radiology and Imaging Sciences at Indiana University School of Medicine where he serves as director of the Indiana Alzheimer Disease Center and of the IU Center for Neuroimaging. He also holds appointments in Medical and Molecular Genetics, Neurology and Psychiatry. Before joining Indiana University in 2006 he served on the faculties of Dartmouth Medical School and the University of Pennsylvania. Dr. Saykin serves as Genetics Core leader of the NIA-sponsored multicenter Alzheimer’s Disease Neuroimaging Initiative (ADNI). Other collaborative federally sponsored projects examine cognitive changes associated with cancer chemotherapy, brain injury and schizophrenia. Dr. Saykin is the founding Editor-in-Chief of Brain Imaging and Behavior. His current research program focuses on the integration of structural, functional and molecular brain imaging with genomic and biomarker methods to study mechanisms of memory dysfunction and therapeutic response. Major goals include development of tools for early detection of dysregulated brain networks in older adults at risk for Alzheimer’s disease and identification of novel therapeutic targets based on imaging genetics association studies.
Disciplines: Radiology and Imaging Sciences
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|Wu, Xiaogang||Center for Computational Biology and Bioinformatics, School of Informatics and Computing / IUPUI|
Bio: Xiaogang Wu received his PhD degree in 2005 on Control Science and Engineering from Huazhong University of Science & Technology (HUST), Wuhan, China. One year after that, he was appointed to associate professor of the Institute for Pattern Recognition and Artificial Intelligence (IPRAI) in HUST. He has over 10 years of research experience in image processing, machine learning, artificial intelligence, pattern recognition, chaotic dynamics and complex systems. His previous research focused on nonlinear dynamical analysis of complex models, especially estimating parameters of chaotic systems by nonlinear time series analysis, symbolic dynamics and chaos synchronization, etc. He is currently a Bioinformatics Scientist in the Hood Lab at Institute for Systems Biology (ISB). Before he joined ISB, he was a Research Scientist in the School of Informatics and Computing (SoIC) at Indiana University-Purdue University Indianapolis (IUPUI). He was also affiliated with Indiana Center for Systems Biology and Personalized Medicine (CSBPM, a signature center in Indiana University-Purdue University at Indianapolis). His current research focuses on bioinformatics and systems biology, e.g., applying machine learning, swarm intelligence, and complex network modeling techniques into identifying systems biomarkers for early diagnosis and predicting drug responses based on systems pharmacology. He is also an Associate Editor of Frontiers in Systems Biology since 2009.
Disciplines: biologychaos theoryinformaticsintellegent systemsmedical and molecular geneticsnonlinear dynamicspublic health
|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