"Logical Analysis of Data (LAD) : Application and
Wednesday, 11 March, 2015
PM - 3:10 PM Location 22-130
Speaker: Dr. Hany Osman
Assistant Professor at the Systems
introduced in 1986 as a data mining approach developed based on theory of
combinatorics and Boolean functions. LAD is used for diagnosis and prognosis
purposes, where it provides a classification tool capable of distinguishing
between several phenomena occurring in a given system. LAD has been applied
successfully in engineering, business, and medical applications.
In this seminar, a presentation
on LAD will be given. The presentation discusses the implementation of LAD and
its applications. Also, the presentation will discuss a real case on the
application of LAD on railways conditional based maintenance. Finally, the
presentation will highlight the future research required to improve the
performance of LAD.
Hany Osman, Assistant Professor at the Systems Engineering
Department, earned his Ph.D. from Concordia University, Montreal, Canada in
2011. His research interests involve the joint area between Operations Research
and Operations Management. The field of research of his Ph.D. study was in
supply chain optimization and handling large scale mathematical models using
decomposition techniques. In a six-month Post-doctoral Fellowship at University
of Windsor, Windsor, Canada, he conducted a research on Transfer Line Balancing
Problems. He joined Ecole Polytechnique de Montreal as a post-doctoral fellow
for two years. During this two years, he started his recent research direction
in the data mining approach Logical Analysis of Data (LAD). Specifically,
he is interested in developing new methods using nature inspired algorithms and
decomposition techniques to generate the patterns required for implementing LAD
to large scale datasets.
ALL ARE CORDIALLY
INVITED TO ATTEND THE SEMINAR!