Name Dr Vinita Nahar
Job Title Lecturer
Faculty Faculty of Science and Engineering
School School of Mathematics and Computer Science
Subject(s) Computer Science
Tel 01902 32 1460
Email vinita.nahar@wlv.ac.uk

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I am a Lecturer in Computer Science in the School of Mathematics and Computer Science, Faculty of Science and Engineering (FSE) at the University of Wolverhampton, UK. Before joining FSE, I was a Postdoctoral Research Fellow in Natural Language Processing (NLP) at the Research Group in Computational Linguistics (RGCL), University of Wolverhampton, UK.

 I am a Fellow of the Higher Education Academy, UK. I completed the Postgraduate Certificate in Higher Education and Professional Practice (PG Cert) from the University of Wolverhampton, UK. I received PhD on "On Detection of Cyberbullying in Social Networks" from the School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia. I received Master of Computer Applications (MCA) from the ISIT Bangalore, ICFAI University, and Bachelor of Computer Applications (BCA) from the MCRPVV Bhopal. I have also done online training for Certified Information Systems Security Professional (CISSP®) from the International Information Systems Security Certification Consortium (ISC)² Ltd, USA.

 

Currently, I am teaching:

  • Module 4CS001, Introductory Programming and Problem Solving (semester I)
  • Module 5CC001, Web Application Development (semester I)
  • Module 6CC001, Advanced Web Technologies (semester I)

In the past, I taught on various modules in the UK and Australia:

University of Wolverhampton, UK

  • Research Methods and Professional Skills in Computational Linguistics
  • Machine Translation and Other NLP topics - guest lecturer
  • Analysing Media Texts – guest lecturer

 

The University of Queensland, Australia

  • Introduction to Information Systems
  • Relational Database Management Systems
  • Advance Database Systems
  • Data Mining
  • Machine Learning
  • Natural Language Processing
  • Social Computing
  • Cyber Security
  • Social Media Analysis

My research interest includes machine learning, information retrieval, data mining, social media - analysis and prediction, applications of natural language processing, sentiment analysis, sensitive event detection and cyberbullying detection.

 

I will welcome research students in the areas of natural language processing, social computing, cyber security and social media analysis. Some of the potential PhD topics are as follows:

 

Multilingual Cyberbullying detection in social networks:

Cyberbullying is one of the most serious social menaces in social networks affecting millions of people worldwide - particularly teenagers - in their early explorations in cyberspace. Due to the dynamic nature of streaming data and information overloading, traditional computing technologies are lagging behind the urgent need for real-time cyberbullying detection in social networks. We would welcome PhD research that aims to exploit NLP technologies to provide better linguistic understanding of individuals, and to build language models of suspected individuals' (victims, bullies and bystanders) in social networks.

                                                        

Author profiling in social networks:

People often leave anonymous reviews, blogs, or messages giving their opinion on a particular product, movie, or political campaign. For many organisations, it is useful to determine the age and gender of people who like or dislike their products for marketing purposes. Similarly, in the field of forensic crime investigation, knowing the profile information (age and gender) of the author of threatening or anonymous messages, for example, is extremely important. However, this information is usually unavailable in the public domain due to privacy reasons. PhD proposals are invited that aim to develop users' age and gender prediction models in social networks by using NLP applications and techniques to explore linguistic knowledge.

 

Sentiment analysis in social networks:

Sentiment analysis is a process of identifying opinion from a given opinionated document into positive, negative, and neutral categories. Beyond identifying these categories, more fine-grained emotions (e.g. anger, joy, sadness, surprise, disgust and fear) are required for context reasoning and decision-making. We invite PhD proposals that investigate NLP methods, and combine them with temporal analysis, and topic analysis to capture dynamics of user behaviour and emotions with precision.

                                               

Sarcasm detection in Twitter:

Sarcasm is a way of expressing a - normally - negative, harsh or bitter message in a positive way. Sarcasm detection poses a major challenge in linguistic feature extraction and selection in short-text messages, such as determining whether the phrase "that's great, isn't!! is meant sincerely or sarcastically. PhD proposals are invited to develop user behavioural patterns and models using different NLP techniques to capture sarcastic remarks in Twitter.

 

Multilingual Cyber terrorism detection:

Radicalisation often leads to violent acts, such as cyber terrorism, which have a hugely negative impact on society. It is challenging to spot suspected activities relating to cyberterrorism quickly enough to act. There is scope to investigate how natural language processing, machine learning, social graph mining and visualisation can quickly locate suspected contents or traces relating to terrorist activities and trace the location of suspected individuals or groups, and we would welcome PhD proposals focusing on this area.

                                                         

Note that there is no specific funding attached to any of the suggested topics; however, student having scholarship or self-funded students with strong academic background, programming skills and motivation are eligible to apply. For more information, do not hesitate to contact me. 

  • Fellow of the Higher Education Academy
  • Member of Women in Machine Learning (WiML) organisation.
  • Member of Women's Security Society.
  • Program Committee member for the Conference on EMNLP 2016, Texas, USA.
  • Technical Program Committee member for the 20th International Computer Science and Engineering Conference at Chiangmai, Thailand, December 2016.
  • Mentor for the 2013 UQ Engineering Postgraduate Research Conference organising committee, the University of Queensland, Australia.
  • Chair for the 2012 UQ Engineering Postgraduate Research Conference organising committee, the University of Queensland, Australia.

JOURNAL

  • He Lin, Vinita Nahar. Reuse of Scientific Data in Academic Publications: an investigation of Dryad Digital Repository. Aslib Journal of Information Management, Accepted, May 2016.
  • Vinita Nahar, Xue Li, Hoong Chuin Lau, Chaoyi Pang. Detecting Cyberbullying in Social Networks based on Positive Unlabelled Learning. International Journal of Web Intelligence and Agent Systems, Special Issue on Multi-agent-based problem solving methods in Big Data Environment and Agent-based Data Mining, pp. 375-388, 2014.
  • Vinita Nahar, Xue Li, Chaoyi Pang. An Effective Approach for Cyberbullying Detection. Journal of Communications in Information Science and Management Engineering (CISME), 3(5): 238-247, 2013.

CONFERENCE

  • Vinita Nahar, Sanad Al-Maskari, Xue Li, Chaoyi Pang. Semi-Supervised Learning for Detection of Cyberbullying in Social Networks. In the 25th Australasian Database Conference (ADC) , pp. 160-171, 2014.
  • Vinita Nahar, Xue Li, Chaoyi Pang. Cyberbullying Detection based on Text-Stream Classification. In the 11th Australasian Data Mining Conference (AusDM) , Canberra, Australia, 2013, (In press).
  • Vinita Nahar. Analysis and Prediction of Emerging Cyberbullying. In the 2013 UQ Engineering Postgraduate Research Conference, pp. 14, Australia, 3, June 2013.
  • Vinita Nahar, Xue Li, Chaoyi Pang. A Step Towards Combating Cyberbullying: Automated Detection. In proceedings of No 2 Bullying Conference , pp. 54-73, Gold Coast, Australia, 2013.
  • Vinita Nahar, Sayan Unankard, Xue Li, Chaoyi Pang. Sentiment Analysis for Effective Detection of Cyber Bullying. In proceedings of the 14th Asia-Pacific Web Conference (APWeb) , pp. 767-774, Kunming, China, 2012.
  • Vinita Nahar. Analysis and Prediction of Emerging Sensitive Social Events. In the 2012 UQ Engineering Postgraduate Research Conference, p. 14, Australia, 2012 [Awarded the best presentation prize (1st yr, ITEE)].
  • Vinita Nahar. Efficient Detection of Emerging Cyber Bullying. In the 2011 UQ Engineering Postgraduate Research Conference, pp. 36 Australia, 2011.

BOOK CHAPTER

  • Vinita Nahar, Xue Li, Chaoyi Pang. Cyberbullying Validation. Bullying: Prevalence, Psychological Impacts and Intervention Strategies, Nova Science Publishers, Inc., USA, 2014. pp. 233-258.
  • Vinita Nahar, Xue Li, Chaoyi Pang. Cyberbullying Prevalence – Medium, Motive and Reaction. Bullying: Prevalence, Psychological Impacts and Intervention Strategies, Nova Science Publishers, Inc., USA , 2014. pp. 259-270.

POSTER

  • Vinita Nahar, Xue Li, Chaoyi Pang. Towards Combating Cyberbullying by its Detection. Poster presentation in No 2 Bullying Conference, Gold Coast, Australia, 2013.
  • Vinita Nahar, Xue Li, Chaoyi Pang. Approach for Automatic Cyberbullying Detection. In the 2011 EII PhD School in Data Management and Information Retrieval. Australian National University, Australia, September 26 September – 1 October 2011 [Awarded Highly Commended Research Poster].
  • Vinita Nahar, Xue Li, Chaoyi Pang. On Cyberbullying Detection. PhD Research Poster, Data and Knowledge Engineering (DKE), DKE Day ITEE, UQ, 2011.

AWARDS

  • Nominated and Shortlisted for the Vice-Chancellor’s Awards for Staff Excellence 2016 (Contribution to the University Presence category), University of Wolverhampton, UK.
  • Received Early Researcher Award (ERAS) 2015-16, University of Wolverhampton, UK.
  • Sponsored for the Senior Researcher Development Training Programme, NU2EU(European research funds, 2015) by the University of Wolverhampton, UK.
  • Awarded the most competitive research scholarships "The University of Queensland International Research Tuition Award (UQIRTA)" and "The University of Queensland Research Scholarship (UQRS)" for the research at the University of Queensland, Australia.
  • Winner, Google Anita Borg Memorial Scholarship (Australia and New Zealand) 2013.
  • Finalist, Google Anita Borg Memorial Scholarship (Australia and New Zealand) 2012.
  • Sponsored by DKE, ITEE, UQ to attend The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Gold Coast, Australia 14-17 April, 2013.
  • Awarded the Best Presentation Prize (1st yr, ITEE) in the 2012 UQ Engineering Postgraduate Research Conference, Australia, June 2012.
  • Received Microsoft Research and EII Fellowship to attend EII PhD School, Australian National University (ANU), Kioloa NSW, Australia, September 2011.
  • Awarded Highly Commended Research Poster, Microsoft Research and EII, PhD School, ANU, Kioloa NSW, Australia, September 2011.
  • Merit Scholarship Holder in II, III, IV, V and VI Semesters of the Masters from ISIT, Bangalore.
  • Keynote Speaker for 2014 UQ EAIT Postgraduate Research Conference to share my research work on cyberbullying detection, my experience of winning the Google Anita Borg Memorial Scholarship (Australia and New Zealand) 2013, and as a formal Conference Chairperson to encourage fellow students and peers.
  • Reviewer for the Journal of Natural Language Engineering (JNLE 2016), and International Journal of Web Intelligence and Agent Systems (WIAS 2014).
  • Reviewer for Recent Advances in Natural Language Processing (RANLP 2015), Empirical Methods in Natural Language Processing (EMNLP 2015, 2016), and International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015, 2016) conferences.
  • TV interview on my cyberbullying detection research by ITV News Central (TV), UK, March 2016.
  • Radio interview on my cyberbullying detection research by Signal FM and Free Radio, UK, March 2016.
  • News published in the Black Country chamber of Commerce - cyberbullying detection, 16 March 2016.
  • News published in the Wolverhampton Chronicle newspaper- “Tackling Cyberbullies”, page 19, 31 March, 2016.
  • Official University of Wolverhampton Media News: https://www.wlv.ac.uk/about-us/news-and-events/latest-news/2016/march-2016/academics-develop-innovative-technology-to-tackle-cyberbullies.php
  • Official University of Wolverhampton Blog: http://rgcl.wlv.ac.uk/2016/03/04/the-rise-of-cyberbullying/
  • Official University of Wolverhampton Academic Blog: https://www.wlv.ac.uk/about-us/news-and-events/academic-blog/2016/march-2016/the-rise-of-cyberbullying/
  • Interviewed and featured on the front page of mX, a leading newspaper in Brisbane, Australia, regarding my research on cyberbullying detection and my winning the Google Anita Borg scholarship (Australia and New Zealand) 2013.
  • Official Google Australia Blog: http://google-au.blogspot.com.au/2013/09/meet-women-coding-our-future.html
  • Official ITEE, The University of Queensland Blog:

KEYNOTE SPEAKER

REVIEWER

MEDIA COVERAGE

 http://blogs.itee.uq.edu.au/digest/2013/09/19/congratulations-to-vinita-nahar-2013-google-anita-borg-memorial-scholarship/

News featured: A bright #Queensland mind working for a safer online community:

https://www.facebook.com/theqldplan

  • News featured: How do we stop cyber bullies?

http://meradost.in/cyberbullies-tracking-system-app-developers/

Postgraduate research showcased- A statement of the 2012 UQ Engineering Postgraduate Research Conference Chair: http://www.uq.edu.au/news/?article=24897