The Big Data Analytics & Data Mining Program focuses on developing methods for understanding large data sets, including data clustering (grouping similar objects) and association rule mining (discovering regularities). The Program provides expertise in non‐statistical data analysis to researchers across disciplines that require assistance in large-scale data analysis.
The Program Director is Dr. Mitsunori Ogihara. Dr. Ogihara is also a Professor in the Department of Computer Science, the Associate Dean for Digital Library Innovation, and the author of The Complexity Theory Companion, and Music Data Mining.
For assistance with any resources and/or services available, please email CCS-Big Data Analytics & Data Mining.
Rodrigo Arboleda is a senior executive with 50 years of experience in the fields of Architecture, International Business Development, Education and Technology, and Civic and Philanthropic endeavors. In addition to his expertise in international business development, his current areas of endeavor are related to advocating global digital learning ideas, especially as they apply to developing nations. He concentrates on the impact on education of cheap mobile devices and promotion of free internet.
Office: Room 458 Flipse Building 35, 5665 Ponce de Leon Blvd.
My program of methodological research is focused on two key issues; these are improving areas where available methods may not be adequate for real psychological data, or where a research question may not be addressed using standard analysis techniques. Specifically, I investigate Bayesian estimation as a tool to help overcome estimation difficulties in structural equation models. I also focus on improving the match between statistical models and psychological theory, because mismatch between model and theory can obscure our understanding of psychological processes and influences.
Office: Clinical Research Building, Room R-669
Office: UM Medical Campus, Room 1205J, Dominion Tower
Office: 1095 NW 14th Street
Office: Clinical Research Building, CRB R-669
Dr. Chen received his Doctoral degree in Statistics from the North Carolina State University. His research is focused on statistical genomics for cancer research, especially developing and applying innovative statistical and bioinformatics methodology to facilitate translational genomic research from bench to clinic. Dr. Chen is the Principle Investigator of a NCI R01 grant “Integrative prediction models for metastasis risk in colon cancer” which collects data on mRNA expression, somatic mutations, and clinical information to develop clinical-genomic risk prediction models and subtypes for colon cancer patients. Dr. Chen is also a major contributor for identifying six triple-negative breast cancer (TNBC) subtypes and corresponding gene signatures. He is the developer of the web-based software “TNBCtype”, which has been widely used by breast cancer research community.
Office: Wolfson 2019
Ching-Hua Chuan is a research associate professor of interactive media at University of Miami. She received her PhD in computer science from University of Southern California (Los Angeles, CA, USA) Viterbi School of Engineering, and her BS and MS degrees in electrical engineering from the National Taiwan University. Dr. Chuan’s research interests include artificial intelligence, machine learning, music information retrieval and audio signal processing. She has published refereed articles in journals and conferences on audio content analysis, style-specific music generation, machine learning applications, and music and multimedia information retrieval. She was the recipient of the best new investigator paper award at the Grace Hopper Celebration of Women in Computing in 2010. Dr. Chuan has served on the program committees of International Society of Music Information Retrieval, International Conference on Mathematics and Computation in Music, International Conference on New Interfaces for Musical Expression, IEEE International Workshop on Multimedia Information Processing and Retrieval, and the scientific advisory committee for Music Similarity workshop at Lorentz center. She is also the co-organizer of the International Workshop on Deep Learning for Music and the founder of Women in Music Information Retrieval (WiMIR).
Office: Hatfield Marine Science Center
Office: Room 442, Center for Collaborative Research, NSU Institute for Neuro-Immune Medicine
Travis Craddock, PhD is an assistant professor of Psychology, Computer Science and Medicine applying systems biology and biophysics methods towards the purpose of identifying novel treatments for complex chronic illness involving neuroinflammation. His postdoctoral work was conducted under the supervision of Gordon Broderick, PhD, in the Broderick Laboratory for Clinical Systems Biology in the Department of Medicine, Faculty of Medicine and Dentistry at the University of Alberta. His work with Gordon Broderick, PhD, focused on using a theory driven systems biology approach to investigate neuroendocrine-immune interaction dynamics in neuroinflammation and its relation complex diseases such as Gulf War Illness, and chronic fatigue syndrome. This work was funded by the US Department of Defense.
He received his BSc in co-op physics from the University of Guelph and went on to finish a MSc and PhD in the field of biophysics at the University of Alberta under the supervision of Jack Tuszynski, PhD. His graduate research activities focused on subneural biomolecular information processing, and nanoscale neuroscience descriptions of memory, consciousness and cognitive dysfunction in neurodegenerative disorders such as Alzheimer’s disease.
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Office: Room 340A, LaGorce Building 35, School of Architecture
Adib Cure serves as an Assistant Professor in Practice at the UM School of Architecture. He also co-founded his own practice called CURE & PENABAD Architecture and Urban Design with partner Carie Penabad.
His research on Latin American urbanism and architecture, most notably the mapping of informal cities throughout the Global South, has been presented at a variety of national and international conferences including the American Institute of Architects National Convention. His research concentrates on the role of light and acoustics in contemporary architecture.
Office: Room G382, Law Library
Office: 1400 NW 10th Avenue, Suite 916A
Office: Clinical Research Building, Room 1058
Office: Kosar Epstein 508, School of Business Administration
Dr. Joseph Johnson is Associate Professor of Marketing at the University of Miami’s School of Business Administration. He teaches Marketing Analytics, New Product Development, Strategic Brand Management, and a PhD Seminar entitled “Quantitative Methods for Marketing Strategy”. His research focuses on the use of data and analytics as a decision aid for managers. He has developed and collaborated on a host of analytical models. His research on financial markets has been featured in Financial Times of India, MSNBC, and Kiplinger’s Personal Finance. He appeared on the Nightly Business Report to discuss how consumer decision making leads to financial bubbles. Dr. Johnson has over a decade of global industry experience through his work at Hindustan Petroleum, Tata Steel, and SSB, Oman, where he developed pricing and promotion response models for Toyota’s auto line up. In the US, he has worked on projects with Affinova, Miami-Dade County Asian-American Advisory Board, Dell, Eli-Lilly, eMpulse, Hope Foundation, Holy Rosary Church, Ocean Reef Club, Proton Data Security, SAS, UM Health, 20th Century Fox Studios, and CheapOAir.
•Marketing and Big Data Analytics
•Health Care Analytics
•New Product Development
Office: McArthur Engineering Building, Room 279
Office: 1223 Dickinson Drive
Office: Room 404, Kosar Epstein
Office: 415 McArthur Building
Office: Ungar Building, Room 437
Office: 283 McArthur Engineering Building, 1251 Memorial Drive, Coral Gables, FL 33146
- Networks and Information Diffusion
- Marketing Engineering
- Retail Engineering
Office: Room 515, McArthur Engineering Building
Office: Room 6113, Rosenstiel Medical Sciences Building
Office: Room 403, Ungar Building