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<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:12.0pt;
margin-left:0cm;line-height:normal;mso-outline-level:4'><b><span
style='font-size:16.0pt;mso-bidi-font-size:19.0pt;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#1F497D;mso-themecolor:text2;mso-bidi-language:HI'>Fairness, Accuracy and
Transparency in Machine Learning</span></b><span style='font-size:16.0pt;
mso-bidi-font-size:19.0pt;font-family:"Bookman Old Style","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:#333333;mso-bidi-language:
HI'><o:p></o:p></span></p>
<div align='right'><a href='Course1a.PDF'>Course Brochure</a></div>
<p class=MsoNormal style='margin-bottom:12.0pt;line-height:150%'><span
style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:HI'><br>
</span><b><span style='font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";color:#333333;mso-bidi-language:HI'>Overview</span></b><span
style='font-size:14.0pt;line-height:150%;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'><o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:12.0pt;text-align:justify;line-height:
150%'><span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:HI'>
</span><span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'>Automated
decision making is a key component of the so called smart solutions, and like
all other countries, India too is in the process of putting in place smart
solutions in diverse areas– be it monitoring sewage treatment plants, or in
scheduling public transport, in disaster management, or in controlling the
spread of a deadly disease, etc. Automated decision making now is essentially
data driven– where the data is huge– and what is needed is to find clusters,
make use of classifiers, or, more generally, find patterns in a large
dimensional huge data space. We need to use machine learning to carry out these
tasks. As huge data drive decision making in all aspects of our life, whether
it is for marketing, information gathering and search, or even for medical
diagnosis, prison sentencing or for financial decision making, machine learning
either already is, or is going to be everywhere.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:12.0pt;text-align:justify;line-height:
150%'><span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'>
Automated decision making through machine learning is very attractive: it is
much faster than human decision making, is able to find patterns in much larger
collections of data, and can integrate different sources in a way that humans
find difficult, if not impossible. But is it any better? It has often been
argued that decisions based on machine learning are less biased than human
decision making because mathematics is blind. But a number of high profile
embarrassments for automated decision making have shown that while algorithms
may not always be biased in the same way that humans are, they are often
trained to reflect biases and prejudices in the underlying data they are
trained on. What is worse is that as machine learning algorithms become more
and more complicated, it is even harder to understand why they make their
decisions the way they do. In other words, it is becoming increasingly clear
that machine learning algorithms may not be fair, they are not accountable, and
they are far from transparent.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:12.0pt;text-align:justify;line-height:
150%'><span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'>
The objective of this course is to expose students in data analysis to the many
challenges in making machine learning tools fair, accountable and transparent,
and to discuss the currently available solutions. The course is for 2 credits
with 15 one-hour lectures and 5 one-hour tutorial/discussion sessions.<o:p></o:p></span></p>
<table class=MsoNormalTable border=0 cellspacing=0 cellpadding=0 width="100%"
style='width:100.0%;border-collapse:collapse;mso-yfti-tbllook:1184'>
<tr style='mso-yfti-irow:0;mso-yfti-firstrow:yes'>
<td valign=top style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Modules<o:p></o:p></span></p>
</td>
<td width="70%" valign=top style='width:70.0%;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Course Start Date: 11/12/2016;
Course End Date:20/12/2016<o:p></o:p></span></li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Number of Participants
(maximum): 50 (Preference will be given to the participants registering
against 2 Credits)<o:p></o:p></span></li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>How are machine learning
algorithms evaluated? How do we interpret their results? (1 Lecture)<o:p></o:p></span></li>
</ul>
<p class=MsoNormal style='margin-top:3.75pt;margin-right:0cm;margin-bottom:
3.75pt;margin-left:36.0pt;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Fairness: (6 lectures)<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraphCxSpFirst style='margin-top:3.75pt;margin-right:
0cm;margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:
justify;text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>What is fairness?<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Fairness-preserving methods:
modifying the classier, or modifying the data, or modifying the results.<o:p></o:p></span></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Interpretable machine learning:
(4 Lectures)<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraphCxSpFirst style='margin-top:3.75pt;margin-right:
0cm;margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:
justify;text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>How can we interpret the results of
machine learning in a user-friendly way,<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Can we generate causal explanations
as opposed to correlations?<o:p></o:p></span></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Verifiable learning (2 Lectures)<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraph style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Can we verify the results of a
machine learning task even if we can’t compute the results ourselves?<o:p></o:p></span></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Case studies of bias in machine
learning (2 Lectures)<o:p></o:p></span></li>
<li class=MsoNormal style='color:#666666;margin-top:3.75pt;margin-bottom:
3.75pt;text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";color:windowtext;mso-bidi-language:HI'>Tutorials/Discussions
(5 Hours)</span><span style='font-size:10.0pt;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'><o:p></o:p></span></li>
</ul>
</td>
</tr>
<tr style='mso-yfti-irow:1'>
<td valign=top style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Who can attend<span class=GramE>...</span><o:p></o:p></span></p>
</td>
<td valign=top style='padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoListParagraphCxSpFirst style='margin-top:0cm;margin-right:0cm;
margin-bottom:12.0pt;margin-left:35.7pt;mso-add-space:auto;text-align:justify;
text-indent:-17.85pt;line-height:13.95pt;mso-list:l10 level1 lfo11'><![if !supportLists]><span
style='font-size:10.0pt;font-family:Wingdings;mso-fareast-font-family:Wingdings;
mso-bidi-font-family:Wingdings;mso-bidi-language:HI'><span style='mso-list:
Ignore'>Ø<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Faculties, Engineers, Scientists, and
Researchers from academic, industrial and government organizations including
R&D laboratories from India or abroad.<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-top:0cm;margin-right:0cm;
margin-bottom:12.0pt;margin-left:35.7pt;mso-add-space:auto;text-align:justify;
line-height:13.95pt'><span style='font-size:7.0pt;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-bottom:0cm;margin-bottom:
.0001pt;mso-add-space:auto;text-align:justify;text-indent:-18.0pt;line-height:
13.95pt;mso-list:l10 level1 lfo11'><![if !supportLists]><span
style='font-size:10.0pt;font-family:Wingdings;mso-fareast-font-family:Wingdings;
mso-bidi-font-family:Wingdings;mso-bidi-language:HI'><span style='mso-list:
Ignore'>Ø<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Students at all levels (BE/<span
class=SpellE>BTech</span>/MSc/ME/<span class=SpellE>MTech</span>/PhD/Other)
from academic and technical institutions/universities from India or abroad.<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-bottom:0cm;margin-bottom:
.0001pt;mso-add-space:auto;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:36.0pt;margin-bottom:.0001pt;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Number of participants for the course
will be limited to fifty. Preference will be given to the participants opting
against credits.<span style='color:#333333'><o:p></o:p></span></span></p>
</td>
</tr>
<tr style='mso-yfti-irow:2;mso-yfti-lastrow:yes'>
<td valign=top style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Fees<o:p></o:p></span></p>
</td>
<td valign=top style='padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:15.7pt;margin-bottom:.0001pt;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>The participation fees for taking the
course is as follows:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:15.7pt;margin-bottom:.0001pt;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:36.0pt;margin-bottom:.0001pt;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Participants from abroad : US $500<br>
Industry/Research Organizations: INR 10,000<br>
Academic Institutions: INR 2,000 (half for SC/ST students)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:7.5pt;
margin-left:15.7pt;line-height:13.95pt'><span style='font-size:10.0pt;
font-family:"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:7.5pt;
margin-left:15.7pt;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>The above fee include all
instructional materials, computer use for tutorials and assignments,
laboratory equipment usage charges, 24 hours free internet facility. The
participants will be provided with accommodation on payment basis.<span
style='color:#333333'><o:p></o:p></span></span></p>
</td>
</tr>
</table>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:7.5pt;
margin-left:0cm;line-height:normal;mso-outline-level:4'><span style='font-size:
13.5pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
color:#333333;mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:7.5pt;
margin-left:0cm;line-height:normal;mso-outline-level:4'><b><span
style='font-size:13.5pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";color:#333333;mso-bidi-language:HI'>The Faculty<o:p></o:p></span></b></p>
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<span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:
HI'> </span><a href="http://www.cs.utah.edu/~suresh/web/"><b><span
style='font-size:9.5pt;line-height:150%;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#00A3D3;mso-bidi-language:HI;text-decoration:none;text-underline:none'>Dr.
Suresh <span class=SpellE>Venkatasubramanian</span></span></b></a><span
style='font-size:9.5pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:
HI'> </span><span style='font-size:9.5pt;line-height:150%;font-family:
"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
mso-bidi-language:HI'> is a <span class=SpellE>BTech</span> from IIT Kanpur
and a PhD from Stanford University, and is currently an Associate Professor
in the School of Computing, University of Utah. After his PhD in 1999, Suresh
joined the AT&T Labs-Research where he was till 2007. He has been a
Visiting Faculty at the Aarhus University, and a Visiting Scientist at Google,
Inc., and in Simons Institute for Theoretical Computer Science in UC,
Berkeley. He has been awarded the NSF Career award (2010-15), and held John
E. and Marva M. Warnock Presidential Endowed Chair for Faculty Innovation in
Computer Science during 2007-13. Suresh is in the Editorial Board of Internet
Mathematics and an Associate Editor of International Journal of Computational
Geometry and Applications, and the Academic Editor of Peer J Computer
Science. He has been in the Program Committees of SWAT, SIAM Conf. on Data
Mining, IEEE <span class=SpellE>Intnl</span>. Conf. on Data Mining, STACS,
NIPS, ACM SIGKDD, SODA, etc. His research is in the area of algorithms and
computational geometry, with current focus on data mining and large data (and
large dimension) geometric questions.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:7.5pt;text-align:justify;line-height:
150%'>
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</v:shape><![endif]--><![if !vml]><img width=97 height=119
src="images/sv.png" align=left hspace=12
alt="images/sv.png"
v:shapes="Picture_x0020_1"><![endif]>
<v:shape id="Picture_x0020_6" o:spid="_x0000_s1026" type="#_x0000_t75"
alt="https://gian.iiita.ac.in/images/sv.png" style='position:absolute;
left:0;text-align:left;margin-left:-73.5pt;margin-top:28.1pt;width:64.6pt;
height:86.2pt;z-index:-251657216;visibility:visible;mso-wrap-style:square;
mso-wrap-distance-left:9pt;mso-wrap-distance-top:0;
mso-wrap-distance-right:9pt;mso-wrap-distance-bottom:0;
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<v:imagedata src="images/sv.png" o:title="sv"/>
<o:lock v:ext="edit" aspectratio="f"/>
<w:wrap type="tight"/>
</v:shape><span style='font-size:10.0pt;line-height:150%;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#333333;mso-bidi-language:HI'> </span><a
href="http://www.iiita.ac.in/sverma/"><b><span
style='font-size:9.5pt;line-height:150%;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#00A3D3;mso-bidi-language:HI;text-decoration:none;text-underline:none'>Prof.
<span class=SpellE>Shekhar</span> Verma</span></b></a><span
style='font-size:9.5pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:
HI'> </span><span style='font-size:9.5pt;line-height:150%;font-family:
"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
mso-bidi-language:HI'>
obtained his B.Tech (Electronics Engg.), M.Tech and Ph.D from Indian Institute of Technology, BHU. He joined Indian Institute of Information Technology, Allahabad in 2007. Currently, he is Head, Department of IT (Information Technology), IIIT Allahabad. His research interests include Machine Learning, Computer Networks, Wireless Sensor Network, Cryptography and Cloud Computing.
<o:p></o:p></span></p>
</td>
<td valign=bottom style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Course Coordinator<o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:
13.95pt'><span style='font-size:10.0pt;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:white;mso-bidi-language:HI'>Prof.
<span class=SpellE>Shekhar</span> Verma<br>
Phone: 0532-2922024<br>
Email: <span class=SpellE>sverma</span> {at} <span class=SpellE>iiita</span>
{dot} ac {dot} in<br>
.......................................................<br>
</span>https://gian.iiita.ac.in/<span style='font-size:10.0pt;font-family:
"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
color:white;mso-bidi-language:HI'><o:p></o:p></span></p>
</td>
</tr>
</table>
<p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:
normal'><span style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
</div>