Biographies of the Organizers:

Dr. Daniela Stan Raicu is a Professor of School of Computing in the College of Computing and Digital Media at DePaul University, Chicago. She is the founding Director of the DePaul Data Mining and Predictive Analytics (DaMPA) Center and co-director of the Medical Informatics (MedIX) Lab and the Intelligent Multimedia Processing (IMP) Lab. Her research interests include medical imaging, multimedia indexing and retrieval, machine learning and data mining. Daniela's projects have been funded by the National Science Foundation (NSF), Argonne National Laboratory, Department of Education, and McArthur Foundation. Daniela holds a Ph.D. in Computer Science from Oakland University, Michigan, a M.A. in Computer Science from Wayne State University, Michigan, and a B.S. in Mathematics from University of Bucharest, Romania.

Dr. Samah Jamal Fodeh is an Assistant Professor at Yale Center for Medical Informatics (YCMI) at Yale School of Medicine, and a research scientist at the Veterans Administration (VA) in West Haven, CT. She received her M.S. and Ph.D. degrees in Computer Science from Michigan State University in 2006 and 2010, respectively. Her research has been supported by NIH and the VA. Her research interests include data mining, machine learning, information retrieval and information extraction.

Dr. Mohammad-Reza Siadat is an Associate Professor of Computer Science and Engineering at Oakland University. He is the founding director of Biomedical Computing (BMC) lab. He was with Henry Ford Health System from 2005 to 2007. In 2003 and 2004, he served as a consultant at Harper University Hospital. His research interests include biomedical image processing, biomedical informatics, and decision support systems.

Dr. José D. Martín-Guerrero received a B.Sc degree in Theoretical Physics (1997), a M.Eng. degree in Electronics (1999) and a Ph.D. degree in Machine Learning (2004), all from the University of Valencia, Spain. He is currently an Associate Professor at the Department of Electronic Engineering, University of Valencia. His research interests include Machine Learning and Computational Intelligence, with special emphasis in Reinforcement Learning and Quantum Machine Learning. He is Co-Chair and founder Member of the Medical Data Analysis Task Force (Data Mining Technical Committee, IEEE Computational Intelligence Society) and the Principal Investigator of IDAL group. 

Tentative Program Committee

• Sameer Antani, NIH National Library of Medicine

• Carlo Barbieri, Fresenius Medical Care

• Carlo Combi, University of Verona

• Paul Bradley, MethodCare, Inc.

• Hamidreza Chitsaz, Colorado State University

• Rosa Figueroa, University of Utah

• Jacob Furst, DePaul University

• Adam Gaweda, University of Louisville

• Maryellen Giger, University of Chicago

• Hamid Soltanian-Zadeh, Henry Ford health System

• Juan Gómez, University of Valencia, Spain

• Ali Haddad, Yale University

• Kourosh Jafari-Khouzani, Harvard University

• Ian H. Jarman, Liverpool John Moores University, UK

• Paulo J. G. Lisboa, Liverpool John Moores University, UK

• Flavio Mari, Fresenius Medical Care, Bad Homburg, Germany

• Theophilus Ogunyemi, Oakland University

• Doug Redd, University of Utah

• Emilio Soria, University of Valencia, Spain

• Abbas Babajani-Feremi, University of Tennessee Health Science Center

• Szilard Vajda, NIH National Library of Medicine

• Joan Vila Francés, University of Valencia, Spain