Page 208 - Data Science Algorithms in a Week

192 Luis Rabelo, Edgar Gutierrez, Sayli Bhide et al.

Ratner, B. 2011. Statistical and Machine-Learning Data Mining: Techniques for Better
nd
Predictive Modeling and Analysis of Big Data. 2 Edition. Boca Raton, Florida:
CRC Press.
Sala-Diakanda, S., Sepulveda, J., & Rabelo, L. 2010. An information fusion-based metric
for space launch range safety. Information Fusion Journal, 11(4), 365-373
Stockwell, A. 2005. The influence of model complexity on the impact response of a
shuttle leading-edge panel finite element simulation. NASA/CR-2005-213535, March
2005.
Witten, I. & Frank, E. 2005. Data Mining: Practical Machine Learning Tools and
Techniques (Second Edition). San Francisco, CA: Morgan Kaufmann Publishers.

AUTHORS’ BIOGRAPHIES

Dr. Luis Rabelo was the NASA EPSCoR Agency Project Manager and currently a
Professor in the Department of Industrial Engineering and Management Systems at the
University of Central Florida. He received dual degrees in Electrical and Mechanical
Engineering from the Technological University of Panama and Master’s degrees from the
Florida Institute of Technology in Electrical Engineering (1987) and the University of
Missouri-Rolla in Engineering Management (1988). He received a Ph.D. in Engineering
Management from the University of Missouri-Rolla in 1990, where he also did Post-
Doctoral work in Nuclear Engineering in 1990-1991. In addition, he holds a dual MS
degree in Systems Engineering & Management from the Massachusetts Institute of
Technology (MIT). He has over 280 publications, three international patents being
utilized in the Aerospace Industry, and graduated 40 Master and 34 Doctoral students as
advisor/Co-Advisor.

Dr. Sayli Bide is a researcher in virtual simulation and safety. She received a PhD in
Industrial Engineering from University of Central Florida (UCF) in 2017. She has
completed M.S. in Engineering Management in 2014 from UCF and B.S. in Electronics
Engineering from University of Mumbai, India in 2009. She has work experience in
software engineering in a multinational software company. Her research interests include
health and safety, modeling and simulation, ergonomics and data analytics.

Dr. Mario Marin is a Researcher and Instructor at the department of Industrial
Engineering and Management Systems (IEMS) at University of Central Florida in
Orlando, Florida. He received his Ph.D. and M.S. degree in Industrial Engineering from
University of Central Florida (UCF) in 2014 and 2003 respectively. He has over 10
years’ experience as an Industrial Engineer, Designer and as a Project Engineer on
various technical projects.