Prospective
Students
I have been
recruiting undergraduate and graduate students to work under my supervision,
and most of the positions have been filled. I still have some research projects
at all levels in DNA microarray data analysis, proteomics, interactomics and genomics. Some of the projects are
listed below, but the list is not exclusive. If you have your own ideas, I
will be happy to discuss them with you. Research scholarships are available
for qualified students, at the PhD level only, from NSERC grants and other
funds. For more information on my research, see my research page, or contact me at lrueda@uwindsor.ca.
Note: Most of the
positions have been filled – they fill rather quickly! While I am receiving
an excessive number of applications, I may not contact all prospective
students (only the most suitable candidates will be contacted). I apologize
for any inconvenience.
PhD Students
At the PhD
level, I am
looking for students who have strong knowledge on algorithm design and
analysis, lineal algebra and probabilities, and willingness to learn on
quickly changing fields like DNA microarray data analysis, protein-protein
interaction, miRNA and
genomics analysis. Prospective students must show independence and creativity
on conducting research. The main topics for PhD thesis are in the field of
pattern recognition and applications, including classification, analysis,
feature extraction and selection, network analysis, and visualization.
Master’s Students
At the
Master’s level, I am
looking for enthusiastic, self-motivated students to work within the areas of
microarray time series analysis, DNA methylation, miRNA
analysis, protein interaction, among others. The use of different supervised
and unsupervised pattern recognition, and/or visualization approaches is
important in these applications. Protein-protein interaction analysis
involves devising approaches for feature extraction and data processing from
different databases, selection of the most relevant features, and designing
prediction schemes for different problems in interactomics.
Undergraduate
Research Projects
1. Protein-protein
Interaction: The aim is to devise an application in state-of the art
languages (Perl, Java, Python, etc.) that process protein complexes from
different protein databases, such as the protein data bank (PDB), and compute energetic
and geometric features for the individual protein chains, aminoacids
and at the atom level.
2. Design a protein interaction server that provides information on
classification, energetic features, and selection of important features for
the protein complexes. The system should interact with protein databases,
feature extraction mechanisms, and feature selection algorithms implemented
in Matlab, Python, Perl, R, and other languages.
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Current Students
PhD
Mina Maleki (2010
- )
Iman Rezaeian
(2010 - )
Master’s
Manoj Gajjarapu (2011 - )
Ahmad Tavakoli
(2011 - )
Manish Pandit
(2011 - )
Gokul Vasudev
(2010 - )
Navid Shakibapour (2010 - )
Past Master’s Students
Muhammad Aziz
(2010 - 2011)
Sridip Banerjee (2009 - 2011)
Priyanka Trivedi* (2009 - 2010)
Numanul Subhani (2008 – 2009)
Dario Rojas (2007 - 2008)
Juan Carlos Rojas (2006 - 2008)
Tatiana Gutiérrez Bunster (2006 -
2008)
Semsettin Ilyas* (2004 - 2007 )
Wei Yang (2003 – 2005)
Archana Balagondar* (2003 – 2005)
Yuanquan Zhang (2003 - 2005)
Leon French* (2003 - 2005)
Li Qin (2002 - 2004)
Vidya Vidyadharan (2003 - 2004)
*
co-supervision
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