Dr Vinita Nahar

Dr Vinita Nahar

Senior Lecturer in Computer Science

  • Email address Vinita.Nahar@wlv.ac.uk
  • Phone number 01902 +44 (0) 1902321460
  • Location MI136
  • Faculty Faculty of Science and Engineering
  • Institute School of Mathematics and Computer Science
  • Areas of expertise

    Data science, machine learning, natural language processing, cyberbullying detection, and social media mining.

Vinita Nahar is a Senior 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, she worked as a Post Doctoral Research Fellow in Natural Language Processing at the Research Group in Computational Linguistics (RGCL), Research Institute in Information and Language Processing (RIILP), University of Wolverhampton, UK.

Machine learning, information retrieval, data mining, social media mining, applications of natural language processing, sentiment analysis, sensitive event detection, cyberbullying detection, artificial intelligence, human-computer interaction, and virtual reality.

Ph.D. SUPERVISION

Candidate: Kurtis Weir

Thesis title: On Informing the Creation of Assistive Tools in Virtual Reality for Severely Visually Disabled Individuals

Status: Completed, 2021 

POTENTIAL Ph.D. TOPICS 

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

Multilingual Cyberbullying detection on 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 and integrate NLP technologies with deep learning to provide a better linguistic understanding of individuals, build language models, and develop profiles of suspected individuals' (victims, bullies, and bystanders) on social media.                                                         

Author profiling:

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 on social media using relevant techniques such as NLP to explore linguistic knowledge. 

Sentiment analysis:

Sentiment analysis is a process of identifying opinions 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 the dynamics of user behavior and emotions with precision.

Sarcasm detection:

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 behavioral patterns and models using different NLP techniques to capture sarcastic remarks in text.

 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, students having scholarships 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.

 

  • Postgraduate Certificate in Higher Education and Professional Practice (PG Cert), University of Wolverhampton, UK, 2016.
  • PhD (Computer Science), University of Queensland, Australia, 2014. [PhD Title "On Detection of Cyberbullying in Social Networks" from the School of Information Technology and Electrical Engineering (ITEE), University of Queensland, Brisbane, Australia under the supervision of Professor Xue Li and Professor Chaoyi Pang.]
  • Master of Computer Applications (MCA) from the ISIT Bangalore, ICFAI University, 2007.
  • Bachelor of Computer Applications (BCA) from the MCRPVV Bhopal, 2004.

JOURNAL

  • Kurtis Weir, Fernando Loizides, Vinita Nahar and Amar Aggoun and Andrew Pollard (2021). I see therefore I read: improving the reading capabilities of individuals with visual disabilities through immersive virtual reality. Universal Access in the Information Society, pp. 1-27. 10.1007/s10209-021-00854-8
  • Kurtis Weir, Fernando Loizides, Vinita Nahar and Amar Aggoun and Andrew Pollard (2021). Developing a User-Centered Accessible Virtual Reality Video Environment for Severe Visual Disabilities. In The Journal on Technology and Persons with Disabilities. CSUN Assistive Technology Conference, pp. 35–53.
  • He Lin, Vinita Nahar. Reuse of Scientific Data in Academic Publications: an investigation of Dryad Digital Repository. Aslib Journal of Information Management, 64 (4): 478-494, 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

  • Kurtis Weir, Fernando Loizides, Vinita Nahar and Amar Aggoun and George Buchanan (2020). Creating a Bespoke Virtual Reality Personal Library Space for Persons with Severe Visual Disabilities. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) 393-396.
  • Kurtis Weir, Fernando Loizides, Vinita Nahar and Amar Aggoun (2019). Using Virtual Reality to Enable Individuals with Severe Visual Disabilities to Read Books. In  Human-Computer Interaction – INTERACT 2019. Lecture Notes in Computer Science, vol 11749 (pp. 680-684). Springer, Cham. https://doi.org/10.1007/978-3-030-29390-1_62 
  • Vinita Nahar. Analysis of Swearing Behaviour on Twitter. University of Wolverhampton Annual Research Conference, June 2016. 
  • Vinita Nahar, Sanad Al-Maskari, Xue Li and Chaoyi Pang. Semi-Supervised Learning for Detection of Cyberbullying in Social Networks. In the 25th Australasian Database Conference (ADC), 160-171, 2014. 
  • Vinita Nahar, Xue Li, Chaoyi Pang and Yang Zhang. Cyberbullying Detection based on Text-Stream Classification. In the Eleventh Australasian Data Mining Conference (AusDM), 49-57, Canberra, Australia, 2013. 
  • Vinita Nahar. Analysis and Prediction of Emerging Cyberbullying. In the 2013 UQ Engineering Postgraduate Research Conference, p. 14, Australia, 3, June 2013. 
  • Vinita Nahar, Xue Li, Chaoyi Pang. A Step Towards Combating Cyberbullying: Automated Detection. In Proceedings of No2 Bullying Conference, 54-73, Gold Coast, Australia, 2013
  • Vinita Nahar, Sayan Unankard, Xue Li and Chaoyi Pang. Sentiment Analysis for Effective Detection of Cyber Bullying. In Proceedings of the 14th Asia-Pacific Web Conference (APWeb), 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, p. 36 Australia, 2011.

BOOK CHAPTER

 

  • Gregory Epiphaniou, Mirko Bottarelli, Haider Al-Khateeb, Nikolaos Th. Ersotelos, John Kanyaru and Vinita Nahar(2020). Smart Distributed Ledger Technologies in Industry 4.0: Challenges and Opportunities in Supply Chain Management, pp. 319–345. In: Jahankhani, H., Kendzierskyj, S., Chelvachandran, N., Ibarra, J. (eds) Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-35746-7_15
  • 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.

REVIEWER

  • 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.

 

 

 

AWARDS

  • Nominated and Shortlisted for the Vice-Chancellor’s Awards for Staff Excellence 2016 (Contribution to the University Presence category), University of Wolverhampton, UK.
  • ReceivedEarly 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.
  • AwardedHighly 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

  • 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.

MEDIA COVERAGE