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Centre
for Development of
Advanced Computing
(C-DAC)
Pune University Campus, Ganesh Khind Road,
Pune 411 007, India.
Tel: +91-20-25694084,
Fax: +91-20-25694004/81
How to reach C-DAC

June 26 - 29, 2007
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Know
Us | About
SERC | About
the School | Scope
of the School | Case
Studies | Faculty | Who
will Benefit Prerequisite | School
Fee & Registration | Dates
& Venue | Download Registration Form
DST
Sponsored SERC School on
Machine
Learning and Pattern Evolution methods in Chemo and
Bioinformatics
26-29 June 2007
Jointly organized by
National Chemical Laboratory (NCL), Pune
Centre for Development of Advanced Computing (C-DAC),
Pune
Coordinators:
Jayaraman V.K. NCL, Pune
Sundararajan V. C-DAC, Pune
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KNOW US
About NCL
NCL, India is a globally recognized
research, development and consulting organization under
CSIR with a focus on chemistry and chemical engineering.
It has a successful record of research and has contributed
significantly towards assisting the Indian chemical
and related industries in transforming themselves into
globally competitive organizations. NCL is also engaged
in generating opportunities for wealth creation for
the nation and, thereby, enhance the quality of life
for its people.
About C-DAC
C-DAC as a premier initiative
of the Department of Electronics and Information Technology (DeitY), Ministry
of Communications and Information Technology (MC&IT),
Government of India embodies the national spirit of
indigenous high-end research and development of state-of-the-art
technologies and solutions. To proliferate the inherent
benefits of Information Technology towards the advancement
of its citizens as well as society, C-DAC has mobilized
its indigenous human and technical resources towards
the design, development and deployment of electronics
and advanced Information Technology (IT) products and
solutions.
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About
SERC
The Science and Engineering
Research Council (SERC) is an apex body through which
the Department of Science and Technology (DST), government
of India, implements its programmes related to promoting
and encouraging research in newly emerging/advanced
and challenging areas of science and engineering.The
SERC also sponsors state-of-the-art courses in engineering
and science for the benefit of faculty of engineering
colleges, as well as scientists and engineers working
in industry, R & D organizations, CSIR laboratories,
and Government Departments in the country. These courses
offer an opportunity for increasing interaction between
industry, academia and R & D organizations.
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About
the School
In recent years, Artificial
Intelligence and Machine learning based methodologies
have been widely employed for solving several real-life
problems in different fields. More specifically, Chemo-
and Bio- Informatics, which include global interests
like Genome analysis, structure prediction, function
analysis, gene identification, drug design, process
safety and disaster management have benefited enormously.
Genetic Algorithms (GAs), Support Vector Machines (SVM),
Ant Colony, and the allied techniques are becoming most
sought after tools for data mining in these areas. Hence,
this school is mainly focused in introducing Machine
learning and pattern evolution methods to faculty and
researchers in Chemo- and Bioinformatics in the country.
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Scope
of the School
The school will introduce
Machine learning and Pattern Evolution algorithms:
1. The Machine learning methods would include
Support Vector Machines and Neural Networks.
2. The Pattern Evolution Methods would include
Genetic Algorithms, Ant Colony System, Gene Expression
Programming and allied methods.
There would be pedagogic lectures to deal with each
method along with important case studies for illustration.
This will be well complemented with the hands-on sessions
to demonstrate these Techniques. 
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Case Studies
Apart from these there will be
lectures on case studies, which include but not, restricted
to the following list:
- Protein Structure Prediction
- Protein Function Prediction
- Protein polymerization
- Feature Selection
- Similarity Search
- Protein Design
- Data mining
- QSAR
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Faculty
Name |
Affiliation |
Topic |
| Dr.
Balaji P.V. |
IIT
Bombay |
Identification of Galactose binding proteins
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| Dr.
Bhagwat S.S. |
UDCT,
Mumbai |
ANN
for QSAR |
| Dr.
Choudhary D. |
JNU,
Delhi |
GA
for protein design |
| Dr.
Gautham N. |
Univ
of Madras,
Chennai
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GA
for protein structure prediction |
| Dr.
Ghosh Indira |
University
of Pune,
Pune
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Data
mining tools in drug discovery |
| Dr.
Gupta S. K. |
IIT,
Kanpur |
Multiobjective
GA |
| Dr.
Jayaraman V.K. |
NCL,
Pune |
SVM,
ACO and their applications |
| Dr.
Joshi Rajani |
IIT
Bombay |
ANN
for Bionformatics |
| Dr.
Kulkarni A. |
TCS,
Pune |
SVM |
| Dr.
Nevenka Dimitrova |
Philips
India Research,
Bangalore
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DNA
Methylation Prediction |
| Dr.
Raghava G. P. S. |
IMTECH,
Chandigarh |
SVM
data mining tools in Bioinformatics |
| Dr.
Ramachandran S. |
IGIB,
Delhi |
Protein
function prediction using ANN |
| Dr.
Sharma A. |
PSPL,
Pune |
GEP
for bioinformatics applications |
| Dr.
Sundararajan V. |
C-DAC,
Pune |
GA
for protein structure prediction |
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Who will
Benefit
The school would be beneficial
to:
Young faculty, Research Scientists in the Chemo- and Bioinformatics who are working in Academic Institutions and Government Research Laboratories Practicing Scientists in the Industries.
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Prerequisite
Graduation in engineering or science
or a higher degree with proven interest in Chemo- or
Bioinformatics. At least few years of practicing experience
in computer programming is essential.
School Organisaiton
The course will consist
of four days and will be organized in eight sessions.
During the first three days, the morning sessions would
be mainly lectures, which would give a perspective view
of the area. Afternoon sessions would have hands-on
and working group methods.More emphasis would be given
on hands-on so that participants gain better understanding
of the topics covered. The last day would be presented
with mainly lectures on various allied methods and applications
of the techniques that were emphasized on the first
three days.
Course Material
Lecture notes and appropriate
reference material would be given to all the participants.
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School
Fee
The proposed school is
free for teachers from academic institutes and researchers
from various Government aided research institutions.
Lunch and tea
will be provided free of cost on all the course days.
Applicants from academic institutions and Government
funded laboratories must provide an official certificate
from their institute. They will also be provided 3 tier
A/C return rail fare by shortest rout from the place
of work on production of original tickets/receipts.
Although the course is free for teachers from academia
and scientists from Government funded R & D laboratories,
a commitment fee of Rs. 2000/- must be paid in advance
which shall be refunded upon attending the course. This
fee should be paid by a demand draft drawn in favor
of "The Director, NCL".
Participants from industry, fee per
participant would be Rs. 5000/-
Registration
The interested participants are
requested to fill in the registration form and send
it along with a demand draft drawn in favour of "The
Director NCL" payable at Pune towards the registration/commitment
fee to the address given below. Due to limited number
of available seats, registration would be done on the
"first come first served" basis and fulfilling
the prerequisites.
Deadline for Registration: 12 June 2007
Selected participants would
be informed by 15 June 2007
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Dates
and Venue
The School will be
held during 26th to 29th June 2007 at
C-DAC, Pune. The participants are requested to report
at
C-DAC, Pune University Campus, Pune 411007.
Contact Info:
Dr. V.K Jayraman
Chemical Engineering Division
National Chemical Laboratory
Dr. Homi Bhabha Road
Pune 411008
Tel: 020 - 25902731
Fax: 020 - 25893041
Dr. V. Sundararajan
Scientific Engineering and Computing
Group (SECG), C-DAC, Pune University
Campus, Ganeshkhind Road,
Pune - 411007
Tel: 020 - 25704100
Fax: 020 - 25694004
e-mail: 

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