School of Computer Science
Room IT301 Kilburn Building
University of Manchester
Manchester M13 9PL
Phone: +44 161 275 6135
Fax: +44 161 275 6204
I am a PhD student at
the School of Computer Science
and I am a member of Machine
Learning and Optimization Group previously known as
Artificial Intelligence Group.
My Supervisors are Dr. Mary McGee
Wood and Dr.
Goran Nenadic. My research is focused on pre-processing the text before
document clustering algorithms and its application in electronic assessment
of long text student's answers.
My Research Interests...
My first research interest is optimization of document
clustering algorithms by working on the pre-processing of the documents
and this is also my PhD research. Document Clustering is a generic problem
with wide spread applications within Natural Language engineering, here in
this research applied to the clustering of students text answers in an
electronic assessment. My present research focuses on two aspects of
Document Clustering Algorithms and Summarization; and their combined
application. One aspect of document clustering algorithms is Optimization
by working on the pre-processing of documents. The second aspect is
Summarization as an approach to pre-process the texts.
How I describe my Research in THREE Sentences…
My second research interest is to
investigate correlations and associations for identification and
prediction of relationships and their activeness in a network. I have
worked on this research in my MS and I would be carrying on this research
later. This research will be focusing on building a network model for
finding relationships, associations and prediction of activeness of
networks. This will require real time IP monitoring of the network
Evaluation Data from My
During my PhD, I have performed an
experiment for the evaluation of automatic summarization. I am making this
evaluation data available to the research community to stimulate further
research. There are sixteen human generated summaries of four TOEFL essays
having varying human assigned scores on the scale of 6.0. This data also
contains human evaluations (in the form of questionnaire and comments) of
computer-generated summaries of four TOEFL essays. This data contains raw
information that can be further researched and investigated to find new
relationships between human generated summaries, inter-annotator
disagreement, linguistic quality of essays, automatic evaluations and human
evaluations of essays and much more.
Note: These files are divided
into two groups based on the order of the tasks in the experiment. First 8
files are numbered from 1-8 and last 8 files are numbered from 11-18
(instead of 9-16).
This evaluation data can be
S. Latif, M.M Wood and G. Nenadic, 2009 "Correlation
between Human Assessment of Essays and ROUGE Evaluation of Essays'
Summaries''. In Proceeding of the 8th International Symposium on
NLP (SNLP 2009 Bangkok, Thailand).
S. Latif, 2009 "Automatic Summarization as a
Pre-processing Technique for Document Clustering". In Proceedings of
the 12th Annual CLUKI Research Colloquium, The UK and Ireland special
interest group for computational linguistics, University College Dublin (CLUKI
S. Latif and M.M Wood, 2009 "A Novel Technique for
Automated Linguistic Quality Assessment of Students' Essays Using
Automatic Summarizers". In Proceedings of World Congress on Computer
Science and Information Engineering, IEEE Computer Society (CSIE 2009 Los
Angeles, USA) pp. 144-149.
S. Latif and M. Wood, 2008 "Text
Pre-processing for Document Clustering". In Proceedings of the
Natural Language and Information Systems, 13th International Conference on
Applications of Natural Language to Information Systems (NLDB 2008 London,
UK) pp. 358–359.
S. Latif, 2008 "Text Pre-processing for
Document Clustering". In Proceedings of the 11th Annual CLUK
Research Colloquium, The UK special interest group for computational
linguistics, Oxford University Computing Laboratory (CLUK 2008 Oxford,
S. Latif and S. Khan, 2006 "Correlations
and Associations Analysis for Identification and Prediction of
Relationships and Their Activeness".
In Proceedings of
2nd IEEE International Conference on Information and
Communication Technologies: from Theory to Applications (ICTTA
2006 Damascus, Syria) pp. 1855- 1859.
S. Latif and A. Khalid, 2004 "Distributed Intelligent Network for Recording,
Retrieval, and Prediction of Criminal Activities". In Proceedings of IEEE
International Conference on Software Engineering Applications Islamabad
Session (ICSEA 2004 Islamabad, Pakistan).
I have been enrolled as a
PhD student and now I am in 3rd year of my research.
Along with my PhD, I am
working as Part-time Teacher’s Assistant/ Lab Demonstrator at the University
of Manchester. Job responsibilities include conducting undergraduate
labs, helping students in doing their assignments and marking their
I also have worked as an Academic Tutor with
MAP Manchester Access Program. Job responsibilities include
examining piece of work from the
student’s current level 3 studies and providing structured feedback whether
or not the agreed intended learning outcomes have been fulfilled.
I am appointed as a
WiSET Women in Science, Engineering and Technology Student Champion for
School of Computer Science. As the Student Champion I will be working with
the academic champion and admin contact in the School in order to:
Explore areas where WiSET could be of benefit
to female students in the School.
Brainstorm, plan, deliver and attend relevant
activities. This will include contacting speakers or trainers to deliver
Feed into the Faculty through the Faculty
Student Coordinator for the Schools of Computer Science and
Attend Faculty wide events and promote these
events within the School.
Support the Faculty in expanding the WiSET
network both internally and externally.
Extra Courses I have taken...
Competition in which I have
Won Second prize in 3rd All Pakistan Inter College/University
Software Exhibition and Competition (COMPPEC) in the category of Business
Databases held at the College of
Electrical and Mechanical Engineering, NUST Rawalpindi, Pakistan.
in All Pakistan Software Competition (SOFTEC) held at
FAST-NU Lahore, Pakistan.