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Michael Georgiopoulos has received a Diploma in EE from the National Technical University of Athens, Greece, in 1981,and an MS in EE and a Ph.D.in EE from the University of Connecticut, Storrs, CT, in 1983 and 1986, respectively. He joined the University of Central Florida
in1986,where he is currently a Professor in the
School of EECS. His research interests lie in the areas of Machine Learning and applications with special em-phasis on ART neural networks. He has published his work in over 250
journal and conference venues. He has been an Associate Editor of the IEEE Transactions on Neural Networks from 2002 to 2006 and he is
currently serving as an Associate Editor of the Neural Networks journal. He has served as the General Chair of the S+SSPR 2008 Workshops, a satellite event of ICPR 2008.

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Cynthia Young received her B.A. in Mathematics Education from the University of North Carolina, and her M.S. in Electrical Engineering and Ph.D. in Applied Mathematics from the University of Washington. She is currently a Professor of Mathematics at the University of Central Florida. She is the recipient of an Office of Naval Research Young Investigator Award and is a Fellow of the International Society of Optical Engineers. She is a two-time recipient of the Teaching Incentive Program at UCF and the recipient of the UCF Scholarship of Teaching and Learning Award.

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Cherie Geiger received her Ph.D. in Inorganic Chemistry from the University of South Florida in Tampa in 1994. She joined the Chemistry faculty at the University of Central Florida in 1996 and is currently an Associate Professor of Chemistry. Her research interests include developing novel environmental remediation techniques and new materials development for a variety of uses. Her research has won numerous awards, both national and international, including the prestigious induction into the Space Technology Hall of Fame in 2007. She has published over 45 journal articles and reviewed proceedings and presented at over 100 conferences and institutions. She served as the President of the Florida Academy of Sciences for three years and as Associate Chair of the Chemistry Department at UCF for over three years.

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Tace Crouse is currently the Interim Director of the Faculty Center for Teaching and Learning at the University of Central Florida where she has served since 2004. From 1999-2004 she was on the faculty of the university's College of Education. From 1986-1998 she served in various positions at Brevard Community College including faculty member, department chair, dean, campus provost and Executive Vice President. Her B.S. degree in Mathematics (1972) and her M.S. in Mathematics Education (1974) were earned at the Shippensburg University of Pennsylvania. Her Ed.D. is in Educational Leadership (1993) from the University of Central Florida. Her research area is in the use of assessment to improve instruction.

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Paula S. Krist is the Director of Assessment Support for the School of Leadership and
Education Sciences at the University of San Diego. She works with all departments to support
program and student learning outcomes assessment for faculty and staff. Previously the Director
of Operational Excellence and Assessment Support at the University of Central Florida and the
Director of Institutional Research and Assessment at Florida Institute of Technology, Dr. Krist regularly presents workshops on assessment topics and enjoys working with faculty on grant projects. Her Ph.D. in Educational Psychology is from the University of North Carolina at Chapel Hill.

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Melissa Dagley-Falls received a BSBA in Management and a MBA from East Tennessee State University of Johnson City, TN, in 1991 and 1993, respectively. She joined the University of Central Florida in 2001 where she worked until 2003 for the Office of Transfer Services. In 2003, Melissa joined the College of Engineering and Computer Science where she has served as the Director of Academic Affairs and advisor to both undergraduate and graduate students within the college. Ms. Dagley-Falls research interests lie in the areas of student access to education, sense of community, retention, and persistence to graduation for students in science, technology, engineering, and mathematics programs.

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Pat Ramsey joined the IR staff at UCF as a Coordinator of Statistical Research in October, 1999. She started with UCF as the Senior Statistician for the College of Health and Public Affairs in October, 1995. Prior to her employment at the University of Central Florida, Pat worked in market research, where she generated, analyzed, and graphically displayed statistical data relating to the retail market. Pat was promoted to Assistant Director of IR at UCF in January, 2005.

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Dahlia Forde received a B.A. in Psychology from the University of South Florida in 2000 and an M.S. in Industrial and Organizational (I/O) Psychology from the University of Central Florida (UCF) in 2003. Her research interests include test fairness, computer adaptive testing, selection and retention. She has received an award for best research paper from the American Psychological Association. Ms. Forde has also served as a consultant for the Educational Testing Service, Princeton, NJ. She is currently a doctoral candidate in I/O Psychology at UCF and a research assistant at the Faculty Center for Teaching and Learning.

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Anna Koufakou completed her B.Sc. in Computer Informatics at the Athens University of Economics and Business in Athens, Greece,
in 1997, and her M.Sc. in Computer Engineering at the University of Central Florida, Orlando, Florida, in 2000. She worked as a Software
Engineer at LaserSight Technologies, Winter Park, Florida, until 2003. Anna has been a Computer Engineering Ph.D. Candidate at the School of EECS at UCF since 2004. She has been involved in several Machine Learning & Data Mining projects, such as mining of Law
Enforcement Data (http://finder.ucf.edu). She has also mentored several undergraduate students for NSF-funded research projects. Her main research interests include Large-scale Data Mining, Parallel and Distributed Data Mining, Frequent Itemset Mining, Outlier Detection, Machine Learning, and Knowledge Extraction.

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