project/templates/talk/conf_schedule.html
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     1 {% extends "base.html" %}
     1 {% extends "base.html" %}
     2 {% block content %}
     2 {% block content %}
     3 <h1 class="title">SciPy.in 2010 Conference Schedule</h1>
     3 <h1 class="title">SciPy.in 2010 Conference Schedule</h1>
     4 
     4 
     5 <h2 id="sec-1">Day 1 </h2>
     5 <h2 id="sec-1">Day 1 </h2>
       
     6 
     6 
     7 
     7 <table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
     8 <table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
     8 <caption></caption>
     9 <caption></caption>
     9 <colgroup><col class="right" /><col class="left" /><col class="left" />
    10 <colgroup><col class="right" /><col class="left" /><col class="left" />
    10 </colgroup>
    11 </colgroup>
    57 <tr><td class="right">11:00-11:45</td><td class="left">Stéfan van der Walt</td><td class="left"><b>Invited Talk</b>: <a href="#sec-3_7">In Pursuit of a Pythonic PhD</a></td></tr>
    58 <tr><td class="right">11:00-11:45</td><td class="left">Stéfan van der Walt</td><td class="left"><b>Invited Talk</b>: <a href="#sec-3_7">In Pursuit of a Pythonic PhD</a></td></tr>
    58 <tr><td class="right">11:45-12:15</td><td class="left">Dharhas Pothina</td><td class="left"><a href="#sec-4_6">HyPy &amp; HydroPic: Using python to analyze hydrographic survey data</a></td></tr>
    59 <tr><td class="right">11:45-12:15</td><td class="left">Dharhas Pothina</td><td class="left"><a href="#sec-4_6">HyPy &amp; HydroPic: Using python to analyze hydrographic survey data</a></td></tr>
    59 <tr><td class="right">12:15-12:35</td><td class="left">Prashant Agrawal</td><td class="left"><a href="#sec-4_18">A Parallel 3D Flow Solver in Python Based on Vortex Methods</a></td></tr>
    60 <tr><td class="right">12:15-12:35</td><td class="left">Prashant Agrawal</td><td class="left"><a href="#sec-4_18">A Parallel 3D Flow Solver in Python Based on Vortex Methods</a></td></tr>
    60 <tr><td class="right">12:35-13:05</td><td class="left">Ajith Kumar</td><td class="left"><a href="#sec-4_12">Python in Science Experiments using Phoenix</a></td></tr>
    61 <tr><td class="right">12:35-13:05</td><td class="left">Ajith Kumar</td><td class="left"><a href="#sec-4_12">Python in Science Experiments using Phoenix</a></td></tr>
    61 <tr><td class="right">13:05-14:05</td><td class="left"></td><td class="left">Lunch</td></tr>
    62 <tr><td class="right">13:05-14:05</td><td class="left"></td><td class="left">Lunch</td></tr>
    62 <tr><td class="right">14:05-14:15</td><td class="left">Arun C. H.</td><td class="left"><a href="#sec-4_2">Usb Connectivity Using Python</a></td></tr>
    63 <tr><td class="right">14:05-14:15</td><td class="left">Harikrishna</td><td class="left"><a href="#sec-4_23">Python based Galaxy workflow integration on GARUDA Grid</a></td></tr>
    63 <tr><td class="right">14:15-14:25</td><td class="left">Arun C. H.</td><td class="left"><a href="#sec-4_3">Automation of an Optical Spectrometer</a></td></tr>
    64 <tr><td class="right">14:15-14:25</td><td class="left">Arun C. H.</td><td class="left"><a href="#sec-4_3">Automation of an Optical Spectrometer</a></td></tr>
    64 <tr><td class="right">14:25-14:35</td><td class="left"></td><td class="left">More Lightning Talks</td></tr>
    65 <tr><td class="right">14:25-14:35</td><td class="left"></td><td class="left"><a href="#More==Lightning==Talks">More Lightning Talks</a></td></tr>
    65 <tr><td class="right">14:35-14:55</td><td class="left">Krishnakant Mane</td><td class="left"><a href="#sec-4_22">Convincing Universities to include Python</a></td></tr>
    66 <tr><td class="right">14:35-14:55</td><td class="left">Krishnakant Mane</td><td class="left"><a href="#sec-4_22">Convincing Universities to include Python</a></td></tr>
    66 <tr><td class="right">14:55-15:15</td><td class="left">Shantanu Choudhary</td><td class="left"><a href="#sec-4_4">"Python" Swiss army knife for Prototyping, Research and Fun.</a></td></tr>
    67 <tr><td class="right">14:55-15:15</td><td class="left">Shantanu Choudhary</td><td class="left"><a href="#sec-4_4">"Python" Swiss army knife for Prototyping, Research and Fun.</a></td></tr>
    67 <tr><td class="right">15:15-15:35</td><td class="left">Puneeth Chaganti</td><td class="left"><a href="#sec-4_21">Pictures, Songs and Python</a></td></tr>
    68 <tr><td class="right">15:15-15:35</td><td class="left">Puneeth Chaganti</td><td class="left"><a href="#sec-4_21">Pictures, Songs and Python</a></td></tr>
    68 <tr><td class="right">15:35-15:55</td><td class="left">Hrishikesh Deshpande</td><td class="left"><a href="#sec-4_5">Wavelet based denoising of ECG using Python</a></td></tr>
    69 <tr><td class="right">15:35-15:55</td><td class="left">Hrishikesh Deshpande</td><td class="left"><a href="#sec-4_5">Wavelet based denoising of ECG using Python</a></td></tr>
    69 <tr><td class="right">15:55-16:10</td><td class="left"></td><td class="left">Tea-Break</td></tr>
    70 <tr><td class="right">15:55-16:10</td><td class="left"></td><td class="left">Tea-Break</td></tr>
    70 <tr><td class="right">16:10-16:40</td><td class="left">Jarrod Millman</td><td class="left"><b>Invited Talk</b></td></tr>
    71 <tr><td class="right">16:10-16:40</td><td class="left">Jarrod Millman</td><td class="left"><b>Invited Talk</b></td></tr>
    71 <tr><td class="right">16:40-17:00</td><td class="left">Ramakrishna Reddy Yekulla</td><td class="left"><a href="#sec-4_13">Building and Packaging your Scientific Python Application For Linux Distributions</a></td></tr>
    72 <tr><td class="right">16:40-17:00</td><td class="left">Ramakrishna Reddy Yekulla</td><td class="left"><a href="#sec-4_13">Building and Packaging your Scientific Python Application For Linux Distributions</a></td></tr>
    72 <tr><td class="right">17:00-17:20</td><td class="left">Yogesh Karpate</td><td class="left"><a href="#sec-4_16">Automatic Proteomic Finger Printing using Scipy</a></td></tr>
    73 <tr><td class="right">17:00-17:20</td><td class="left">Yogesh Karpate</td><td class="left"><a href="#sec-4_16">Automatic Proteomic Finger Printing using Scipy</a></td></tr>
    73 <tr><td class="right">17:20-17:40</td><td class="left">Manjusha Joshi</td><td class="left"><a href="#sec-4_15">SAGE for Scientific computing and Education enhancement</a></td></tr>
    74 <tr><td class="right">17:20-17:40</td><td class="left">Manjusha Joshi</td><td class="left"><a href="#sec-4_15">SAGE for Scientific computing and Education enhancement</a></td></tr>
    74 <tr><td class="right">To be scheduled</td><td class="left">Karuna and/or Mangala</td><td class="left"><a href="#sec-4_23">Python based Galaxy workflow integration on GARUDA Grid</a></td></tr>
       
    75 </tbody>
    75 </tbody>
    76 </table>
    76 </table>
       
    77 
       
    78 
       
    79 
    77 
    80 
    78 
    81 
    79 
    82 
    80 
    83 
    81 <h2 id="sec-3">Invited Talks </h2>
    84 <h2 id="sec-3">Invited Talks </h2>
  1412 
  1415 
  1413 
  1416 
  1414 
  1417 
  1415 
  1418 
  1416 
  1419 
  1417 <h3 id="sec-4_21">Python based Galaxy workflow integration on GARUDA Grid</h3>
  1420 
  1418 
  1421 
  1419 
  1422 
  1420 <p>Karuna and/or Mangala
  1423 <h3 id="sec-4_23">Python based Galaxy workflow integration on GARUDA Grid </h3>
  1421 </p>
  1424 
  1422 
  1425 
  1423 
  1426 <p>Harikrishna
  1424 
  1427 </p>
  1425 <h4 id="sec-4_23">Talk/Paper Abstract </h4>
  1428 
  1426 
  1429 
  1427 <p>
  1430 
  1428 Bioinformatics applications being complex problem involving multiple
  1431 <h4 id="sec-4_23_1">Talk/Paper Abstract </h4>
  1429 comparisons, alignment, mapping and analysis can be managed better using
  1432 
  1430 workflow solutions. Galaxy is an open web based platform developed in
  1433 
  1431 Python for genomic research. Python is a light weight dynamic language
  1434 <p>Bioinformatics applications being complex problem involving
  1432 making Galaxy to be modular and expandable. Bioinformatics applications
  1435 multiple comparisons, alignment, mapping and analysis can be
  1433 being compute and data intensive scale well in grid computing
  1436 managed better using workflow solutions. Galaxy is an open web
  1434 environments. In this paper we describe bringing the Galaxy workflow to
  1437 based platform developed in Python for genomic research. Python
  1435 the Garuda Grid computing infrastructure for enabling bioinformatics
  1438 is a light weight dynamic language making Galaxy to be modular
  1436 applications. GAURDA grid is an aggregation of heterogeneous resources and
  1439 and expandable. Bioinformatics applications being compute and
  1437 advanced capabilities for scientific applications. Here we present the
  1440 data intensive scale well in grid computing environments. In
  1438 integration of galaxy workflow tool with GARUDA grid middleware to enable
  1441 this paper we describe bringing the Galaxy workflow to the
  1439 computational biologists to perform complex problems on the grid
  1442 Garuda Grid computing infrastructure for enabling bioinformatics
  1440 environment through a web browser.
  1443 applications. GAURDA grid is an aggregation of heterogeneous
  1441 </p>
  1444 resources and advanced capabilities for scientific
  1442 
  1445 applications. Here we present the integration of galaxy workflow
  1443 
  1446 tool with GARUDA grid middleware to enable computational
       
  1447 biologists to perform complex problems on the grid environment
       
  1448 through a web browser.
       
  1449 </p>
  1444 
  1450 
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