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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

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.

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.

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.

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.

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


Faculty

Name
Affiliation
Topic
Dr. Balaji P.V. IIT Bombay
Identification of Galactose binding proteins
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
GA for protein structure prediction
Dr. Ghosh Indira University of Pune,
Pune
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
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

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.

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.

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

 

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: